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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Patricia E. Perkins; Sudarmanto Budi Nugroho; Stephane de la Rue du Can; William F. Lamb; +26 Authors

    Les solutions d'atténuation sont souvent évaluées en termes de coûts et de potentiels de réduction des gaz à effet de serre, omettant la prise en compte des effets directs sur le bien-être humain. Ici, nous évaluons systématiquement le potentiel d'atténuation des options du côté de la demande classées en éviter, changer et améliorer, et leurs liens avec le bien-être humain. Nous montrons que ces options, reliant les domaines socio-comportementaux, infrastructurels et technologiques, peuvent réduire les émissions sectorielles contrefactuelles de 40 à 80 % dans les secteurs d'utilisation finale. Sur la base du jugement d'experts et d'une vaste base de données bibliographiques, nous évaluons 306 combinaisons de résultats en matière de bien-être et d'options du côté de la demande, trouvant des effets largement bénéfiques sur l'amélioration du bien-être (79 % positifs, 18 % neutres et 3 % négatifs), même si nous trouvons une faible confiance dans les dimensions sociales du bien-être. La mise en œuvre de telles solutions nuancées est basée de manière axiomatique sur une compréhension des préférences malléables plutôt que fixes, et de manière procédurale sur l'évolution des infrastructures et des architectures de choix. Les résultats démontrent le potentiel élevé d'atténuation des options d'atténuation du côté de la demande qui sont synergiques avec le bien-être. L'évaluation des mesures d'atténuation se concentre souvent sur les coûts et néglige les effets directs sur le bien-être. Ce travail montre que les mesures du côté de la demande ont un grand potentiel d'atténuation et des effets bénéfiques sur les résultats en matière de bien-être. Las soluciones de mitigación a menudo se evalúan en términos de costos y potenciales de reducción de gases de efecto invernadero, sin tener en cuenta los efectos directos sobre el bienestar humano. Aquí, evaluamos sistemáticamente el potencial de mitigación de las opciones del lado de la demanda clasificadas en evitar, cambiar y mejorar, y sus vínculos con el bienestar humano. Mostramos que estas opciones, uniendo los dominios socio-conductuales, infraestructurales y tecnológicos, pueden reducir las emisiones sectoriales contrafactuales en un 40–80% en los sectores de uso final. Con base en el juicio de expertos y una extensa base de datos bibliográfica, evaluamos 306 combinaciones de resultados de bienestar y opciones del lado de la demanda, encontrando efectos en gran medida beneficiosos en la mejora del bienestar (79% positivo, 18% neutral y 3% negativo), a pesar de que encontramos poca confianza en las dimensiones sociales del bienestar. La implementación de tales soluciones matizadas se basa axiomáticamente en la comprensión de preferencias maleables en lugar de fijas, y procedimentalmente en infraestructuras cambiantes y arquitecturas de elección. Los resultados demuestran el alto potencial de mitigación de las opciones de mitigación del lado de la demanda que son sinérgicas con el bienestar. La evaluación de las acciones de mitigación a menudo se centra en el coste y pasa por alto los efectos directos sobre el bienestar. Este trabajo muestra que las medidas del lado de la demanda tienen un gran potencial de mitigación y efectos beneficiosos en los resultados de bienestar. Mitigation solutions are often evaluated in terms of costs and greenhouse gas reduction potentials, missing out on the consideration of direct effects on human well-being. Here, we systematically assess the mitigation potential of demand-side options categorized into avoid, shift and improve, and their human well-being links. We show that these options, bridging socio-behavioural, infrastructural and technological domains, can reduce counterfactual sectoral emissions by 40–80% in end-use sectors. Based on expert judgement and an extensive literature database, we evaluate 306 combinations of well-being outcomes and demand-side options, finding largely beneficial effects in improvement in well-being (79% positive, 18% neutral and 3% negative), even though we find low confidence on the social dimensions of well-being. Implementing such nuanced solutions is based axiomatically on an understanding of malleable rather than fixed preferences, and procedurally on changing infrastructures and choice architectures. Results demonstrate the high mitigation potential of demand-side mitigation options that are synergistic with well-being. Evaluation of mitigation actions often focuses on cost and overlooks the direct effects on well-being. This work shows demand-side measures have large mitigation potential and beneficial effects on well-being outcomes. غالبًا ما يتم تقييم حلول التخفيف من حيث التكاليف وإمكانات الحد من غازات الدفيئة، مع إغفال النظر في الآثار المباشرة على رفاهية الإنسان. هنا، نقيم بشكل منهجي إمكانات التخفيف لخيارات جانب الطلب المصنفة في فئات التجنب والتحول والتحسين، وروابط رفاه الإنسان الخاصة بها. نظهر أن هذه الخيارات، التي تربط بين المجالات الاجتماعية والسلوكية والبنية التحتية والتكنولوجية، يمكن أن تقلل من الانبعاثات القطاعية المضادة بنسبة 40-80 ٪ في قطاعات الاستخدام النهائي. استنادًا إلى حكم الخبراء وقاعدة بيانات شاملة للأدبيات، نقوم بتقييم 306 مجموعة من نتائج الرفاهية وخيارات جانب الطلب، ونجد آثارًا مفيدة إلى حد كبير في تحسين الرفاهية (79 ٪ إيجابي و 18 ٪ محايد و 3 ٪ سلبي)، على الرغم من أننا نجد ثقة منخفضة في الأبعاد الاجتماعية للرفاهية. يعتمد تنفيذ مثل هذه الحلول الدقيقة بشكل بديهي على فهم التفضيلات المرنة بدلاً من التفضيلات الثابتة، ومن الناحية الإجرائية على تغيير البنى التحتية وبنى الاختيار. تُظهر النتائج إمكانات التخفيف العالية لخيارات التخفيف من جانب الطلب التي تتآزر مع الرفاهية. غالبًا ما يركز تقييم إجراءات التخفيف على التكلفة ويتجاهل الآثار المباشرة على الرفاهية. يُظهر هذا العمل أن تدابير جانب الطلب لها إمكانات تخفيف كبيرة وآثار مفيدة على نتائج الرفاهية.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ University of Califo...arrow_drop_down
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    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Nature Climate Change
    Article
    License: CC BY
    Data sources: UnpayWall
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    Apollo
    Article . 2025
    Data sources: Datacite
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Nature Climate Change
    Article . 2022
    License: taverne
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Serveur académique lausannois
    Article . 2022
    License: CC BY
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    Apollo
    Article . 2022
    Data sources: Apollo
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    UCL Discovery
    Article . 2022
    Data sources: UCL Discovery
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Nature Climate Change
    Article . 2021 . Peer-reviewed
    License: Springer Nature TDM
    Data sources: Crossref
    https://dx.doi.org/10.60692/db...
    Other literature type . 2021
    Data sources: Datacite
    https://dx.doi.org/10.60692/nb...
    Other literature type . 2021
    Data sources: Datacite
    Nature Climate Change
    Article . 2022
    License: unspecified
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ University of Califo...arrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      Nature Climate Change
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      Apollo
      Article . 2025
      Data sources: Datacite
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      Nature Climate Change
      Article . 2022
      License: taverne
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      Serveur académique lausannois
      Article . 2022
      License: CC BY
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      Apollo
      Article . 2022
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      UCL Discovery
      Article . 2022
      Data sources: UCL Discovery
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      Nature Climate Change
      Article . 2021 . Peer-reviewed
      License: Springer Nature TDM
      Data sources: Crossref
      https://dx.doi.org/10.60692/db...
      Other literature type . 2021
      Data sources: Datacite
      https://dx.doi.org/10.60692/nb...
      Other literature type . 2021
      Data sources: Datacite
      Nature Climate Change
      Article . 2022
      License: unspecified
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: du Can, Stephane de la Rue; Letschert, Virginie; Agarwal, Shreya; Park, Won Young; +1 Authors

    Energy efficiency can make energy access more affordable by reducing the electricity cost burden on households and businesses. Improving products’ energy efficiency helps reduce monthly energy bills— freeing up funds that can feed back into the economy, thus stimulating economic growth. To demonstrate these benefits, this paper conducts a cost-benefit analysis (CBA) and a national impact analysis (NIA) for implementing an energy-efficiency standards and labeling (EESL) program for refrigeration products in Uganda. The CBA compares the costs versus the benefits of investing in energy-efficient products for consumers: It shows that the most cost-effective products have an efficiency level 35 % higher than baseline products sold on the market. By choosing these products, consumers save, on average, US$76 over the lifetime of the product. The NIA assesses the impact of an energy-efficiency standard set at that level and shows potential cumulative savings of US$595 million (2023–2040) for households and small businesses. These savings translate into additional purchasing power for households and investments for small businesses, leading to increased living standards and economic development. This paper describes the importance of implementing energy efficiency policies and programs in emerging economies where affordability of electricity hinders electricity access. This paper provides a rigorous approach of using CBA and NIA assessments to demonstrate the economic savings for the consumers and the nation to implement EESL programs for major electric equipment.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ University of Califo...arrow_drop_down
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    Energy for Sustainable Development
    Article . 2022 . Peer-reviewed
    License: CC BY
    Data sources: Crossref
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ University of Califo...arrow_drop_down
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      Energy for Sustainable Development
      Article . 2022 . Peer-reviewed
      License: CC BY
      Data sources: Crossref
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: William F. Lamb; Thomas Wiedmann; Julia Pongratz; Robbie M. Andrew; +24 Authors

    AbstractGlobal greenhouse gas (GHG) emissions can be traced to five economic sectors: energy, industry, buildings, transport and AFOLU (agriculture, forestry and other land uses). In this topical review, we synthesise the literature to explain recent trends in global and regional emissions in each of these sectors. To contextualise our review, we present estimates of GHG emissions trends by sector from 1990 to 2018, describing the major sources of emissions growth, stability and decline across ten global regions. Overall, the literature and data emphasise that progress towards reducing GHG emissions has been limited. The prominent global pattern is a continuation of underlying drivers with few signs of emerging limits to demand, nor of a deep shift towards the delivery of low and zero carbon services across sectors. We observe a moderate decarbonisation of energy systems in Europe and North America, driven by fuel switching and the increasing penetration of renewables. By contrast, in rapidly industrialising regions, fossil-based energy systems have continuously expanded, only very recently slowing down in their growth. Strong demand for materials, floor area, energy services and travel have driven emissions growth in the industry, buildings and transport sectors, particularly in Eastern Asia, Southern Asia and South-East Asia. An expansion of agriculture into carbon-dense tropical forest areas has driven recent increases in AFOLU emissions in Latin America, South-East Asia and Africa. Identifying, understanding, and tackling the most persistent and climate-damaging trends across sectors is a fundamental concern for research and policy as humanity treads deeper into the Anthropocene.

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    Environmental Research Letters
    Article . 2021 . Peer-reviewed
    License: CC BY
    Data sources: Crossref
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    Environmental Research Letters
    Article
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    Environmental Research Letters
    Article . 2021
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    Environmental Research Letters
    Review . 2021
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    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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    MPG.PuRe
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    ZENODO
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    ZENODO
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    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Open Access LMU
    Article . 2021
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    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Environmental Research Letters
    Article . 2021 . Peer-reviewed
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    Environmental Research Letters
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    https://dx.doi.org/10.60692/89...
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      Environmental Research Letters
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      Environmental Research Letters
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      MPG.PuRe
      Article . 2021
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      ZENODO
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      ZENODO
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      Open Access LMU
      Article . 2021
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      Environmental Research Letters
      Article . 2021 . Peer-reviewed
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      Environmental Research Letters
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      https://dx.doi.org/10.60692/89...
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  • image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Authors: Stephane de la Rue du Can; Ali Hasanbeigi; Jayant Sathaye;

    Abstract In 2008, the gross domestic product (GDP) of California industry was larger than GDP of industry in any other U.S. states. This study analyses the energy use of and output from seventeen industry subsectors in California and performs decomposition analysis to assess the influence of different factors on California industry energy use. The logarithmic mean Divisia index method is used for the decomposition analysis. The decomposition analysis results show that the observed reduction of energy use in California industry since 2000 is the result of two main factors: the intensity effect and the structural effect. The intensity effect has started pushing final energy use downward in 2000 and has since amplified. The second large effect is the structural effect. The significant decrease of the energy-intensive “Oil and Gas Extraction” subsector's share of total industry value added, from 15% in 1997 to 5% in 2008, and the increase of the non-energy intensive “Electric and electronic equipment manufacturing” sector's share of value added, from 7% in 1997 to 30% in 2008, both contributed to a decrease in the energy intensity in the industry sector.

    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Energy Policyarrow_drop_down
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Energy Policy
    Article . 2012 . Peer-reviewed
    License: Elsevier TDM
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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Energy Policyarrow_drop_down
      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      Energy Policy
      Article . 2012 . Peer-reviewed
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    Authors: Stephane de la Rue du Can; Gregory Leventis; Anand Gopal; Amol Phadke;

    Numerous countries use public funds to subsidize residential electricity for a variety of socioeconomic objectives. These subsidies lower the value of energy efficiency to the consumer while raising it for the government. Further, while it would be especially helpful to have stringent Minimum Energy Performance Standards (MEPS) for end uses in this environment, they are hard to strengthen without imposing a cost on ratepayers. In this second-best world, where the presence of subsidies limits the government’s ability to strengthen standards, we find that efficiency-induced savings in subsidy payments can be a significant source of financing for energy efficiency incentive programs. Here, we introduce the Lawrence Berkeley National Laboratory (LBNL) Energy Efficiency Revenue Analysis (LEERA) model to estimate the greatest appliance efficiency improvements that can be achieved in Mexico by the revenue neutral financing of incentive programs from savings in subsidy payments yielded by the same efficiency improvements. We analyze Mexico’s tariff structures and the long-run marginal cost of supply to calculate the marginal savings for the government from appliance efficiency. We find that these avoided subsidy payments alone can provide enough revenue to cover the full incremental manufacturing cost of refrigerators that are 29 % more efficient and televisions that are 36 % more efficient than baseline models. For room air conditioners (ACs), the same source of financing can contribute up to one third of the incremental manufacturing cost of a model that is 10 % more efficient than baseline. We analyze the sensitivity of our results to the most important parameters and find our main conclusion that efficiency-induced avoided subsidy payments will contribute significantly to financing efficiency incentive programs in Mexico to be significant and robust.

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    Energy Efficiency
    Article . 2014 . Peer-reviewed
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    Energy Efficiency
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    License: CC BY
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    Energy Efficiency
    Article
    Data sources: CORE
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      Energy Efficiency
      Article . 2014 . Peer-reviewed
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      Energy Efficiency
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      Energy Efficiency
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Marriette Sakah; Stephane de la Rue du Can; Felix Amankwah Diawuo; Morkporkpor Delight Sedzro; +1 Authors

    Abstract The residential sector in Ghana accounts for about 40% of aggregate electricity consumption out of which urban centers contribute 70%. The high weighted share of residential electricity use is attributed to high appliance ownership and use, and other household/building factors. The ability to determine how changes in the pattern of these factors influence electricity demand is critical if efforts to reduce consumption are to be effective. This study combines a residential electricity consumption survey (RECS) with electricity end-use monitoring of 60 households in Tema city Ghana, to yield the first ever comprehensive investigation of city-scale electricity consumption in urban Ghanaian homes. A multiple linear regression analysis is used to identify the most statistically significant indicators of appliance ownership and household electricity consumption. Results indicate that ownership of air conditioner, freezer, fan, refrigerator and television; and changes in socio-economic and building factors such as energy efficiency awareness and practice; income; household size and floor space show high statistical significance, and collectively explain 57% variance in households’ total electricity consumption. The presence of dependent children increases ownership of television, iron, washing machine and small kitchen appliances. This work provides a solid foundation for developing more tailored energy-saving policy interventions targeted at households.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ University of Califo...arrow_drop_down
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    Sustainable Cities and Society
    Article . 2019 . Peer-reviewed
    License: Elsevier TDM
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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      Sustainable Cities and Society
      Article . 2019 . Peer-reviewed
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: de la Rue du Can, Stephane; Price, Lynn K.; Zwickel, Timm;

    Abstract This paper presents a methodology to allocate carbon dioxide (CO2) emissions that result from fuel combusted to produce electricity and heat to the end-use sectors (industry, buildings, transport, and agriculture) where the electricity and heat are actually consumed. Attributing these indirect emissions to the appropriate sectors results in a very different picture of CO2 emissions per sector than is seen when only direct emissions are characterized. With attribution to the demand side, the industrial and buildings sectors contribute the largest shares of CO2 emissions globally. When indirect emissions are allocated to their respective end-use sectors, the buildings sector’s share of total emissions increases the most, from 9% (direct emissions only) to 31% (including indirect emissions), which reflects the large share of electricity and heat consumed in this sector. The share of CO2 emissions attributable to the industrial sector also increases significantly, from 18% to 37%. These increased values include emissions from both electricity and heat used in end-use sectors, in contrast to the traditional accounting method, which allocates all electricity and heat emissions to the transformation and energy sector. Allocating these emissions to end-use sectors makes it possible to assess the full potential impact of demand reduction of electricity and heat use. This article is based on contributions to the Fifth Assessment Report of Working Group III of the Intergovernmental Panel on Climate Change.

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    Applied Energy
    Article
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    Applied Energy
    Article . 2015
    License: Elsevier Non-Commercial
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    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Applied Energy
    Article . 2015 . Peer-reviewed
    License: Elsevier TDM
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    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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      Applied Energy
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      Applied Energy
      Article . 2015
      License: Elsevier Non-Commercial
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      Applied Energy
      Article . 2015 . Peer-reviewed
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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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  • image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Authors: Stephane de la Rue du Can; Michael A. McNeil; Jing Ke; Virginie Letschert;

    The Bottom–Up Energy Analysis System (BUENAS) calculates potential energy and greenhouse gas emission impacts of efficiency policies for lighting, heating, ventilation, and air conditioning, appliances, and industrial equipment through 2030. The model includes 16 end use categories and covers 11 individual countries plus the European Union. BUENAS is a bottom–up stock accounting model that predicts energy consumption for each type of equipment in each country according to engineering-based estimates of annual unit energy consumption, scaled by projections of equipment stock. Energy demand in each scenario is determined by equipment stock, usage, intensity, and efficiency. When available, BUENAS uses sales forecasts taken from country studies to project equipment stock. Otherwise, BUENAS uses an econometric model of household appliance uptake developed by the authors. Once the business as usual scenario is established, a high-efficiency policy scenario is constructed that includes an improvement in the efficiency of equipment installed in 2015 or later. Policy case efficiency targets represent current “best practice” and include standards already established in a major economy or well-defined levels known to enjoy a significant market share in a major economy. BUENAS calculates energy savings according to the difference in energy demand in the two scenarios. Greenhouse gas emission mitigation is then calculated using a forecast of electricity carbon factor. We find that mitigation of 1075 mt annual CO2 emissions is possible by 2030 from adopting current best practices of appliance efficiency policies. This represents a 17 % reduction in emissions in the business as usual case in that year.

    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Energy Efficiencyarrow_drop_down
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    Energy Efficiency
    Article . 2013 . Peer-reviewed
    License: Springer TDM
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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Energy Efficiencyarrow_drop_down
      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      Energy Efficiency
      Article . 2013 . Peer-reviewed
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Greg Leventis; Stephane de la Rue du Can; Amol Phadke; Anand Gopal;

    AbstractIncentives are policy tools that sway purchase, retail stocking, and production decisions toward energy-efficient products. Incentives complement mandatory standards and labeling policies by accelerating market penetration of products that are more energy efficient than required by existing standards and by preparing the market for more stringent future mandatory requirements. Incentives can be directed at different points in the appliance׳s supply chain; one point may be more effective than another depending on the technology׳s maturity and market penetration. This paper seeks to inform future policy and program design by categorizing the main elements of incentive programs from around the world. We identify advantages and disadvantages of program designs through a qualitative overview of incentive programs worldwide. We find that financial incentive programs have greater impact when they target highly efficient technologies with a small market share, and that program designs depend on the market barriers addressed, the target equipment, and the local market context. No program design is inherently superior to another. The key to successful program design and implementation is a thorough understanding of the market and identification of the most important local obstacles to the penetration of energy-efficient technologies.

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    Energy Policy
    Article . 2014 . Peer-reviewed
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    Energy Policy
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    Energy Policy
    Article . 2014
    License: CC BY NC SA
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      Energy Policy
      Article . 2014 . Peer-reviewed
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      Energy Policy
      Article . 2014
      License: CC BY NC SA
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Patricia E. Perkins; Sudarmanto Budi Nugroho; Stephane de la Rue du Can; William F. Lamb; +26 Authors

    Les solutions d'atténuation sont souvent évaluées en termes de coûts et de potentiels de réduction des gaz à effet de serre, omettant la prise en compte des effets directs sur le bien-être humain. Ici, nous évaluons systématiquement le potentiel d'atténuation des options du côté de la demande classées en éviter, changer et améliorer, et leurs liens avec le bien-être humain. Nous montrons que ces options, reliant les domaines socio-comportementaux, infrastructurels et technologiques, peuvent réduire les émissions sectorielles contrefactuelles de 40 à 80 % dans les secteurs d'utilisation finale. Sur la base du jugement d'experts et d'une vaste base de données bibliographiques, nous évaluons 306 combinaisons de résultats en matière de bien-être et d'options du côté de la demande, trouvant des effets largement bénéfiques sur l'amélioration du bien-être (79 % positifs, 18 % neutres et 3 % négatifs), même si nous trouvons une faible confiance dans les dimensions sociales du bien-être. La mise en œuvre de telles solutions nuancées est basée de manière axiomatique sur une compréhension des préférences malléables plutôt que fixes, et de manière procédurale sur l'évolution des infrastructures et des architectures de choix. Les résultats démontrent le potentiel élevé d'atténuation des options d'atténuation du côté de la demande qui sont synergiques avec le bien-être. L'évaluation des mesures d'atténuation se concentre souvent sur les coûts et néglige les effets directs sur le bien-être. Ce travail montre que les mesures du côté de la demande ont un grand potentiel d'atténuation et des effets bénéfiques sur les résultats en matière de bien-être. Las soluciones de mitigación a menudo se evalúan en términos de costos y potenciales de reducción de gases de efecto invernadero, sin tener en cuenta los efectos directos sobre el bienestar humano. Aquí, evaluamos sistemáticamente el potencial de mitigación de las opciones del lado de la demanda clasificadas en evitar, cambiar y mejorar, y sus vínculos con el bienestar humano. Mostramos que estas opciones, uniendo los dominios socio-conductuales, infraestructurales y tecnológicos, pueden reducir las emisiones sectoriales contrafactuales en un 40–80% en los sectores de uso final. Con base en el juicio de expertos y una extensa base de datos bibliográfica, evaluamos 306 combinaciones de resultados de bienestar y opciones del lado de la demanda, encontrando efectos en gran medida beneficiosos en la mejora del bienestar (79% positivo, 18% neutral y 3% negativo), a pesar de que encontramos poca confianza en las dimensiones sociales del bienestar. La implementación de tales soluciones matizadas se basa axiomáticamente en la comprensión de preferencias maleables en lugar de fijas, y procedimentalmente en infraestructuras cambiantes y arquitecturas de elección. Los resultados demuestran el alto potencial de mitigación de las opciones de mitigación del lado de la demanda que son sinérgicas con el bienestar. La evaluación de las acciones de mitigación a menudo se centra en el coste y pasa por alto los efectos directos sobre el bienestar. Este trabajo muestra que las medidas del lado de la demanda tienen un gran potencial de mitigación y efectos beneficiosos en los resultados de bienestar. Mitigation solutions are often evaluated in terms of costs and greenhouse gas reduction potentials, missing out on the consideration of direct effects on human well-being. Here, we systematically assess the mitigation potential of demand-side options categorized into avoid, shift and improve, and their human well-being links. We show that these options, bridging socio-behavioural, infrastructural and technological domains, can reduce counterfactual sectoral emissions by 40–80% in end-use sectors. Based on expert judgement and an extensive literature database, we evaluate 306 combinations of well-being outcomes and demand-side options, finding largely beneficial effects in improvement in well-being (79% positive, 18% neutral and 3% negative), even though we find low confidence on the social dimensions of well-being. Implementing such nuanced solutions is based axiomatically on an understanding of malleable rather than fixed preferences, and procedurally on changing infrastructures and choice architectures. Results demonstrate the high mitigation potential of demand-side mitigation options that are synergistic with well-being. Evaluation of mitigation actions often focuses on cost and overlooks the direct effects on well-being. This work shows demand-side measures have large mitigation potential and beneficial effects on well-being outcomes. غالبًا ما يتم تقييم حلول التخفيف من حيث التكاليف وإمكانات الحد من غازات الدفيئة، مع إغفال النظر في الآثار المباشرة على رفاهية الإنسان. هنا، نقيم بشكل منهجي إمكانات التخفيف لخيارات جانب الطلب المصنفة في فئات التجنب والتحول والتحسين، وروابط رفاه الإنسان الخاصة بها. نظهر أن هذه الخيارات، التي تربط بين المجالات الاجتماعية والسلوكية والبنية التحتية والتكنولوجية، يمكن أن تقلل من الانبعاثات القطاعية المضادة بنسبة 40-80 ٪ في قطاعات الاستخدام النهائي. استنادًا إلى حكم الخبراء وقاعدة بيانات شاملة للأدبيات، نقوم بتقييم 306 مجموعة من نتائج الرفاهية وخيارات جانب الطلب، ونجد آثارًا مفيدة إلى حد كبير في تحسين الرفاهية (79 ٪ إيجابي و 18 ٪ محايد و 3 ٪ سلبي)، على الرغم من أننا نجد ثقة منخفضة في الأبعاد الاجتماعية للرفاهية. يعتمد تنفيذ مثل هذه الحلول الدقيقة بشكل بديهي على فهم التفضيلات المرنة بدلاً من التفضيلات الثابتة، ومن الناحية الإجرائية على تغيير البنى التحتية وبنى الاختيار. تُظهر النتائج إمكانات التخفيف العالية لخيارات التخفيف من جانب الطلب التي تتآزر مع الرفاهية. غالبًا ما يركز تقييم إجراءات التخفيف على التكلفة ويتجاهل الآثار المباشرة على الرفاهية. يُظهر هذا العمل أن تدابير جانب الطلب لها إمكانات تخفيف كبيرة وآثار مفيدة على نتائج الرفاهية.

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    Nature Climate Change
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    Apollo
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    Nature Climate Change
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    Serveur académique lausannois
    Article . 2022
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    Apollo
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    UCL Discovery
    Article . 2022
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    Nature Climate Change
    Article . 2021 . Peer-reviewed
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    Nature Climate Change
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      Apollo
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      Nature Climate Change
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      UCL Discovery
      Article . 2022
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      Nature Climate Change
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      Nature Climate Change
      Article . 2022
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    Authors: du Can, Stephane de la Rue; Letschert, Virginie; Agarwal, Shreya; Park, Won Young; +1 Authors

    Energy efficiency can make energy access more affordable by reducing the electricity cost burden on households and businesses. Improving products’ energy efficiency helps reduce monthly energy bills— freeing up funds that can feed back into the economy, thus stimulating economic growth. To demonstrate these benefits, this paper conducts a cost-benefit analysis (CBA) and a national impact analysis (NIA) for implementing an energy-efficiency standards and labeling (EESL) program for refrigeration products in Uganda. The CBA compares the costs versus the benefits of investing in energy-efficient products for consumers: It shows that the most cost-effective products have an efficiency level 35 % higher than baseline products sold on the market. By choosing these products, consumers save, on average, US$76 over the lifetime of the product. The NIA assesses the impact of an energy-efficiency standard set at that level and shows potential cumulative savings of US$595 million (2023–2040) for households and small businesses. These savings translate into additional purchasing power for households and investments for small businesses, leading to increased living standards and economic development. This paper describes the importance of implementing energy efficiency policies and programs in emerging economies where affordability of electricity hinders electricity access. This paper provides a rigorous approach of using CBA and NIA assessments to demonstrate the economic savings for the consumers and the nation to implement EESL programs for major electric equipment.

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    Energy for Sustainable Development
    Article . 2022 . Peer-reviewed
    License: CC BY
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      Energy for Sustainable Development
      Article . 2022 . Peer-reviewed
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    Authors: William F. Lamb; Thomas Wiedmann; Julia Pongratz; Robbie M. Andrew; +24 Authors

    AbstractGlobal greenhouse gas (GHG) emissions can be traced to five economic sectors: energy, industry, buildings, transport and AFOLU (agriculture, forestry and other land uses). In this topical review, we synthesise the literature to explain recent trends in global and regional emissions in each of these sectors. To contextualise our review, we present estimates of GHG emissions trends by sector from 1990 to 2018, describing the major sources of emissions growth, stability and decline across ten global regions. Overall, the literature and data emphasise that progress towards reducing GHG emissions has been limited. The prominent global pattern is a continuation of underlying drivers with few signs of emerging limits to demand, nor of a deep shift towards the delivery of low and zero carbon services across sectors. We observe a moderate decarbonisation of energy systems in Europe and North America, driven by fuel switching and the increasing penetration of renewables. By contrast, in rapidly industrialising regions, fossil-based energy systems have continuously expanded, only very recently slowing down in their growth. Strong demand for materials, floor area, energy services and travel have driven emissions growth in the industry, buildings and transport sectors, particularly in Eastern Asia, Southern Asia and South-East Asia. An expansion of agriculture into carbon-dense tropical forest areas has driven recent increases in AFOLU emissions in Latin America, South-East Asia and Africa. Identifying, understanding, and tackling the most persistent and climate-damaging trends across sectors is a fundamental concern for research and policy as humanity treads deeper into the Anthropocene.

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    Environmental Research Letters
    Article . 2021 . Peer-reviewed
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    Environmental Research Letters
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    Environmental Research Letters
    Article . 2021
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    Environmental Research Letters
    Review . 2021
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    MPG.PuRe
    Article . 2021
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    ZENODO
    Article . 2021
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    ZENODO
    Article . 2021
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    Open Access LMU
    Article . 2021
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    Environmental Research Letters
    Article . 2021 . Peer-reviewed
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    https://dx.doi.org/10.60692/89...
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      Open Access LMU
      Article . 2021
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      Environmental Research Letters
      Article . 2021 . Peer-reviewed
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      https://dx.doi.org/10.60692/89...
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  • image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Authors: Stephane de la Rue du Can; Ali Hasanbeigi; Jayant Sathaye;

    Abstract In 2008, the gross domestic product (GDP) of California industry was larger than GDP of industry in any other U.S. states. This study analyses the energy use of and output from seventeen industry subsectors in California and performs decomposition analysis to assess the influence of different factors on California industry energy use. The logarithmic mean Divisia index method is used for the decomposition analysis. The decomposition analysis results show that the observed reduction of energy use in California industry since 2000 is the result of two main factors: the intensity effect and the structural effect. The intensity effect has started pushing final energy use downward in 2000 and has since amplified. The second large effect is the structural effect. The significant decrease of the energy-intensive “Oil and Gas Extraction” subsector's share of total industry value added, from 15% in 1997 to 5% in 2008, and the increase of the non-energy intensive “Electric and electronic equipment manufacturing” sector's share of value added, from 7% in 1997 to 30% in 2008, both contributed to a decrease in the energy intensity in the industry sector.

    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Energy Policyarrow_drop_down
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    Energy Policy
    Article . 2012 . Peer-reviewed
    License: Elsevier TDM
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      Energy Policy
      Article . 2012 . Peer-reviewed
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    Authors: Stephane de la Rue du Can; Gregory Leventis; Anand Gopal; Amol Phadke;

    Numerous countries use public funds to subsidize residential electricity for a variety of socioeconomic objectives. These subsidies lower the value of energy efficiency to the consumer while raising it for the government. Further, while it would be especially helpful to have stringent Minimum Energy Performance Standards (MEPS) for end uses in this environment, they are hard to strengthen without imposing a cost on ratepayers. In this second-best world, where the presence of subsidies limits the government’s ability to strengthen standards, we find that efficiency-induced savings in subsidy payments can be a significant source of financing for energy efficiency incentive programs. Here, we introduce the Lawrence Berkeley National Laboratory (LBNL) Energy Efficiency Revenue Analysis (LEERA) model to estimate the greatest appliance efficiency improvements that can be achieved in Mexico by the revenue neutral financing of incentive programs from savings in subsidy payments yielded by the same efficiency improvements. We analyze Mexico’s tariff structures and the long-run marginal cost of supply to calculate the marginal savings for the government from appliance efficiency. We find that these avoided subsidy payments alone can provide enough revenue to cover the full incremental manufacturing cost of refrigerators that are 29 % more efficient and televisions that are 36 % more efficient than baseline models. For room air conditioners (ACs), the same source of financing can contribute up to one third of the incremental manufacturing cost of a model that is 10 % more efficient than baseline. We analyze the sensitivity of our results to the most important parameters and find our main conclusion that efficiency-induced avoided subsidy payments will contribute significantly to financing efficiency incentive programs in Mexico to be significant and robust.

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    Energy Efficiency
    Article . 2014 . Peer-reviewed
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    Energy Efficiency
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    Energy Efficiency
    Article
    Data sources: CORE
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      Energy Efficiency
      Article . 2014 . Peer-reviewed
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      Energy Efficiency
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      Energy Efficiency
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    Authors: Marriette Sakah; Stephane de la Rue du Can; Felix Amankwah Diawuo; Morkporkpor Delight Sedzro; +1 Authors

    Abstract The residential sector in Ghana accounts for about 40% of aggregate electricity consumption out of which urban centers contribute 70%. The high weighted share of residential electricity use is attributed to high appliance ownership and use, and other household/building factors. The ability to determine how changes in the pattern of these factors influence electricity demand is critical if efforts to reduce consumption are to be effective. This study combines a residential electricity consumption survey (RECS) with electricity end-use monitoring of 60 households in Tema city Ghana, to yield the first ever comprehensive investigation of city-scale electricity consumption in urban Ghanaian homes. A multiple linear regression analysis is used to identify the most statistically significant indicators of appliance ownership and household electricity consumption. Results indicate that ownership of air conditioner, freezer, fan, refrigerator and television; and changes in socio-economic and building factors such as energy efficiency awareness and practice; income; household size and floor space show high statistical significance, and collectively explain 57% variance in households’ total electricity consumption. The presence of dependent children increases ownership of television, iron, washing machine and small kitchen appliances. This work provides a solid foundation for developing more tailored energy-saving policy interventions targeted at households.

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    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Sustainable Cities and Society
    Article . 2019 . Peer-reviewed
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      Sustainable Cities and Society
      Article . 2019 . Peer-reviewed
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    Authors: de la Rue du Can, Stephane; Price, Lynn K.; Zwickel, Timm;

    Abstract This paper presents a methodology to allocate carbon dioxide (CO2) emissions that result from fuel combusted to produce electricity and heat to the end-use sectors (industry, buildings, transport, and agriculture) where the electricity and heat are actually consumed. Attributing these indirect emissions to the appropriate sectors results in a very different picture of CO2 emissions per sector than is seen when only direct emissions are characterized. With attribution to the demand side, the industrial and buildings sectors contribute the largest shares of CO2 emissions globally. When indirect emissions are allocated to their respective end-use sectors, the buildings sector’s share of total emissions increases the most, from 9% (direct emissions only) to 31% (including indirect emissions), which reflects the large share of electricity and heat consumed in this sector. The share of CO2 emissions attributable to the industrial sector also increases significantly, from 18% to 37%. These increased values include emissions from both electricity and heat used in end-use sectors, in contrast to the traditional accounting method, which allocates all electricity and heat emissions to the transformation and energy sector. Allocating these emissions to end-use sectors makes it possible to assess the full potential impact of demand reduction of electricity and heat use. This article is based on contributions to the Fifth Assessment Report of Working Group III of the Intergovernmental Panel on Climate Change.

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    Applied Energy
    Article
    License: Elsevier Non-Commercial
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    Applied Energy
    Article . 2015
    License: Elsevier Non-Commercial
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    Applied Energy
    Article . 2015 . Peer-reviewed
    License: Elsevier TDM
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    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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      Applied Energy
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      Applied Energy
      Article . 2015
      License: Elsevier Non-Commercial
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      Applied Energy
      Article . 2015 . Peer-reviewed
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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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  • image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Authors: Stephane de la Rue du Can; Michael A. McNeil; Jing Ke; Virginie Letschert;

    The Bottom–Up Energy Analysis System (BUENAS) calculates potential energy and greenhouse gas emission impacts of efficiency policies for lighting, heating, ventilation, and air conditioning, appliances, and industrial equipment through 2030. The model includes 16 end use categories and covers 11 individual countries plus the European Union. BUENAS is a bottom–up stock accounting model that predicts energy consumption for each type of equipment in each country according to engineering-based estimates of annual unit energy consumption, scaled by projections of equipment stock. Energy demand in each scenario is determined by equipment stock, usage, intensity, and efficiency. When available, BUENAS uses sales forecasts taken from country studies to project equipment stock. Otherwise, BUENAS uses an econometric model of household appliance uptake developed by the authors. Once the business as usual scenario is established, a high-efficiency policy scenario is constructed that includes an improvement in the efficiency of equipment installed in 2015 or later. Policy case efficiency targets represent current “best practice” and include standards already established in a major economy or well-defined levels known to enjoy a significant market share in a major economy. BUENAS calculates energy savings according to the difference in energy demand in the two scenarios. Greenhouse gas emission mitigation is then calculated using a forecast of electricity carbon factor. We find that mitigation of 1075 mt annual CO2 emissions is possible by 2030 from adopting current best practices of appliance efficiency policies. This represents a 17 % reduction in emissions in the business as usual case in that year.

    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Energy Efficiencyarrow_drop_down
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    Energy Efficiency
    Article . 2013 . Peer-reviewed
    License: Springer TDM
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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Energy Efficiencyarrow_drop_down
      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      Energy Efficiency
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    Authors: Greg Leventis; Stephane de la Rue du Can; Amol Phadke; Anand Gopal;

    AbstractIncentives are policy tools that sway purchase, retail stocking, and production decisions toward energy-efficient products. Incentives complement mandatory standards and labeling policies by accelerating market penetration of products that are more energy efficient than required by existing standards and by preparing the market for more stringent future mandatory requirements. Incentives can be directed at different points in the appliance׳s supply chain; one point may be more effective than another depending on the technology׳s maturity and market penetration. This paper seeks to inform future policy and program design by categorizing the main elements of incentive programs from around the world. We identify advantages and disadvantages of program designs through a qualitative overview of incentive programs worldwide. We find that financial incentive programs have greater impact when they target highly efficient technologies with a small market share, and that program designs depend on the market barriers addressed, the target equipment, and the local market context. No program design is inherently superior to another. The key to successful program design and implementation is a thorough understanding of the market and identification of the most important local obstacles to the penetration of energy-efficient technologies.

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    Energy Policy
    Article . 2014 . Peer-reviewed
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    License: CC BY ND SA
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    Energy Policy
    Article . 2014
    License: CC BY NC SA
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    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      Energy Policy
      Article . 2014 . Peer-reviewed
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      Energy Policy
      Article . 2014
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