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  • 11. Sustainability
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  • Authors: orcid Reichert, Patrick;
    Reichert, Patrick
    ORCID
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    Reichert, Patrick in OpenAIRE
    Trivella, Umberto;

    Improving access to sustainable energy services and reducing the carbon footprint and deforestation of developing countries presents a substantial challenge to the development industry. This paper aims to critically assess two prevalent business models emerging to meet this challenge: financial institution–technology provider partnerships and the one-stop-shop, pay-as-you-go (PAYG) model. The authors find that collaborations between financial institutions and energy providers need to address grey areas such as product quality standards, marketing, and post-sales services, and incorporate feedback loops to continually evaluate the performance of the partnership. Pay-as-you-go presents an intriguing business case to leapfrog more traditional energy access programmes. However, more robust results from the field need to be reported before the PAYG movement can claim success. Ultimately, collaborative and integrated actions by all stakeholders are needed to achieve universal energy access.

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    Authors: Yongsoon Choi; Seryong Baek; Cheonho Kim; Junkyu Yoon; +1 Authors

    As smart cities become a global topic, interest in smart mobility, the core of smart cities, is also growing. The technology that comes closest to general users is “autonomous driving”. In particular, the successful market entry and establishment of some private companies proved that “autonomous driving” is not technology of the future but imminent reality. However, safety in autonomous vehicles that rely on sensors instead of the driver’s five senses has been the focus of attention from the beginning and continues to be so. In this study, we attempted to counter this interest. Based on the actual data of thirty traffic accidents, assuming the AEBS (Autonomous Emergency Braking System) was installed to assist the driver in safe driving, it was reinterpreted through simulation to see what changes occurred in the accident. In the computer program, PC-Crash, the results were first analyzed through simulation using Euro NCAP (New Car Assessment Program)’s AEBS test standards. Subsequently, the other variables in the AEBS were controlled and the accident was reinterpreted by changing only the angle of the radar detection sensor. As a result, it was confirmed that a total of 27 accidents out of thirty accidents could have been prevented with the AEBS. In addition, it proved that the crash avoidance rate of vehicles gradually increased as the radar angle increased.

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    Applied Sciences
    Article . 2021 . Peer-reviewed
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    Applied Sciences
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    Applied Sciences
    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/ Applied Sciencesarrow_drop_down
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      Applied Sciences
      Article . 2021 . Peer-reviewed
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      Applied Sciences
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      Applied Sciences
      Article . 2021
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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: Setareh Katircioglu; orcid Najia Saqib;
    Najia Saqib
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    Najia Saqib in OpenAIRE
    orcid Salih Katircioglu;
    Salih Katircioglu
    ORCID
    Harvested from ORCID Public Data File

    Salih Katircioglu in OpenAIRE
    Ceyhun C. Kilinc; +1 Authors

    This study searches the impact of tourism growth on emission pollutants in Cyprus (north), which is a small island in the Mediterranean and has shown significant development in hotel and casino sectors in the last two decades. Results from time-series analyses reveal that an inverted U-shaped EKC hypothesis is confirmed for Cyprus with and without tourism development. Tourism also exerts positively significant and long-term effects on the levels of carbon emissions, revealing that growth in the tourism sector causes degradation in the environment.

    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 Air Quality Atmosphe...arrow_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
    Air Quality Atmosphere & Health
    Article . 2020 . 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 Air Quality Atmosphe...arrow_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
      Air Quality Atmosphere & Health
      Article . 2020 . Peer-reviewed
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    Authors: orcid Shahira Assem Abdel-Razek;
    Shahira Assem Abdel-Razek
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    Shahira Assem Abdel-Razek in OpenAIRE
    orcid Hanaa Salem Marie;
    Hanaa Salem Marie
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    Hanaa Salem Marie in OpenAIRE
    orcid Ali Alshehri;
    Ali Alshehri
    ORCID
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    Ali Alshehri in OpenAIRE
    orcid Omar M. Elzeki;
    Omar M. Elzeki
    ORCID
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    Omar M. Elzeki in OpenAIRE

    Room occupancy prediction based on indoor environmental quality may be the breakthrough to ensure energy efficiency and establish an interior ambience tailored to each user. Identifying whether temperature, humidity, lighting, and CO2 levels may be used as efficient predictors of room occupancy accuracy is needed to help designers better utilize the readings and data collected in order to improve interior design, in an effort to better suit users. It also aims to help in energy efficiency and saving in an ever-increasing energy crisis and dangerous levels of climate change. This paper evaluated the accuracy of room occupancy recognition using a dataset with diverse amounts of light, CO2, and humidity. As classification algorithms, K-nearest neighbors (KNN), hybrid Adam optimizer–artificial neural network–back-propagation network (AO–ANN (BP)), and decision trees (DT) were used. Furthermore, this research is based on machine learning interpretability methodologies. Shapley additive explanations (SHAP) improve interpretability by estimating the significance values for each feature for classifiers applied. The results indicate that the KNN performs better than the DT and AO-ANN (BP) classification models have 99.5%. Though the two classifiers are designed to evaluate variations in interpretations, we must ensure that they have accurate detection. The results show that SHAP provides successful implementation following these metrics, with differences detected amongst classifier models that support the assumption that model complexity plays a significant role when predictability is taken into account.

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    Sustainability
    Article . 2022 . Peer-reviewed
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    Sustainability
    Article . 2022
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      Sustainability
      Article . 2022 . Peer-reviewed
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      Sustainability
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    Authors: James Helal; André Stephan; Robert H. Crawford;
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    Energy and Buildings
    Article . 2023 . Peer-reviewed
    License: CC BY NC ND
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    Access Routes
    Green
    hybrid
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      Energy and Buildings
      Article . 2023 . Peer-reviewed
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    Authors: Shahbaz, Muhammad; orcid Loganathan, Nanthakumar;
    Loganathan, Nanthakumar
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    Loganathan, Nanthakumar in OpenAIRE
    orcid Sbia, Rashid;
    Sbia, Rashid
    ORCID
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    Sbia, Rashid in OpenAIRE
    Afza, Talat;

    Abstract This paper investigates the impact of urbanization on energy consumption by applying the Stochastic Impacts by Regression on Population, Affluence and Technology (STIRPAT) in case of Malaysia. The study covers the time period of 1970Q1–2011Q4. The unit root test and the ARDL bounds testing approach have been applied to examine integrating properties and long run relationship in the presence of structural breaks. Our results validated the existence of cointegration and exposed that urbanization is a major contributor in energy consumption. Affluence raises energy demand. Capital stock boosts energy consumption. Trade openness leads to affluence and hence increases energy consumption. The causality analysis finds that urbanization Granger causes energy consumption. The feedback effect is found between energy consumption and affluence and, energy consumption and capital. The bidirectional causality exists between trade openness and energy consumption.

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    Renewable and Sustainable Energy Reviews
    Article . 2015 . Peer-reviewed
    License: Elsevier TDM
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      Renewable and Sustainable Energy Reviews
      Article . 2015 . Peer-reviewed
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    Authors: Binlin Li; orcid null Danish;
    null Danish
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    null Danish in OpenAIRE
    Salah Ud-Din Khan; orcid bw Nils Haneklaus;
    Nils Haneklaus
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    Nils Haneklaus in OpenAIRE

    Abstract Mitigating the effects of environmental deterioration requires a focus on not just CO2 emissions from energy consumption, but also environmental pollution from industry sectors. To reach this goal, recent studies have extended ecological footprint (EF) analysis to identify the ecological drivers of various key industry sectors. The role of the phosphorus (P) industry on the EF within the environmental Kuznets curve (EKC) framework for China is the emphasis of this study. Autoregressive distributive lag (ARDL) as well as the impulse response function and robustness analysis were used to consider a time from 1985 to 2018. The study verifies the EKC hypothesis for China in both the long and the short run, and indispensable determinants are proposed to be included to assure the model’s fitness and robustness when conducting EF analysis of industry sectors. Energy consumption–based carbon emissions have been verified as the dominant contributor to EF, but P use and urbanization have a significant lagged positive influence on EF in the short run. P exports, in particular, have been highlighted as a critical driver of the EF of China’s P industry. The conducted frequency domain causality test reinforced the above findings and demonstrated bidirectional causality at different frequencies. This work suggests that formulating plausible P export policies to alleviate the conflict between the output of China’s P industry and the environmental sustainability of this industry are necessary. In this context, “multidisciplinary, multidimensional, and practical solutions” are most desirable for sustainable P management.

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    Environmental Science and Pollution Research
    Article . 2022 . Peer-reviewed
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      Environmental Science and Pollution Research
      Article . 2022 . Peer-reviewed
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    Authors: Hamed, Tareq A.; Alshare, Aiman;

    The global energy demand is growing substantially. Clean and secure energy supply is a must for our civilization's sustainable development. Solar and wind energy is growing fast and can contribute significantly to meet the goals set by many countries to reduce greenhouse gas emissions. A deep and wide investigation of the environmental impact of solar and wind energy is important before any solar or wind plants' construction is made. In this study, the literature is reviewed to summarize the environmental impact of solar and wind energy systems in terms of the following factors; land use, water consumption, impact on biodiversity, visual and noise effects, health issues, and impact on micro climate. Although the benefits of solar and wind energy are obvious and great, negative perception of these technologies can inhibit their wide penetration in some regions. This review paper includes a critical and an inclusive analysis of solar and wind energy’s environmental impact and may serve as an important tool to conduct a proper environmental impact assessment. This critical analysis may serve also as a tool for developers, policy, and decision-when planning future solar and wind farms.

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    Authors: orcid Tian Tian;
    Tian Tian
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    Harvested from ORCID Public Data File

    Tian Tian in OpenAIRE
    orcid Stijn Speelman;
    Stijn Speelman
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    Stijn Speelman in OpenAIRE

    Rural planning is in a state of flux, covering a range of topics. The objectives of planning have evolved over the years. To get an overview of the evolving themes and narratives on rural planning in China, a literature review is conducted here using text mining considering 145 papers published in Web of Science. Attention is given to trends over time in terms of the topics covered. Six evolving themes are revealed, namely: providing affordable and decent life under industrialization and urbanization progress, national ecological programs and practices, building a new (socialist) countryside and rural−urban relationship in planning, land planning and restructuring, rural tourism planning and activities, and other themes. It is highlighted that strategies and knowledge of “development” are a common instructional epistemology among agro-industrialism, agro-ruralism, scientific rationalism, and “economy oriented” humanism.

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    Sustainability
    Article . 2021 . Peer-reviewed
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    Sustainability
    Article . 2021
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    Authors: orcid Noha Said;
    Noha Said
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    orcid Mahmoud M. Abdel daiem;
    Mahmoud M. Abdel daiem
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    Mahmoud M. Abdel daiem in OpenAIRE
    Mahmoud M. Abdel daiem;

    The utilization of biomass energy is important from both an energetic and environmental point of view. Saudi Arabia has a considerable amount of biomass waste that can be converted to renewable energy using different technologies. This study evaluated and analyzed the quantity and energy potential of biomass waste, Greenhouse gases (GHG) emissions, and cost estimation of power generation using different conversion techniques. The results showed that the annual biomass waste in Saudi Arabia could reach approximately 31.50 million tons, which can generate 15 TWh of electricity. Municipal solid waste (MSW) is the largest contribution to the total waste and total power generation potential, which is approximately 70% and 74% of the total, respectively. Although incineration of MSW has the highest cost requirements, it has the highest power generation potential compared with the other studied techniques. However, the anaerobic digestion of other biomass types has the advantages of low costs and GHG emissions and generates considerable energy. The findings of this study can support decision-makers in developing sustainability strategies using eco-friendly and economical technologies for efficient power generation from biomass wastes.

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    Alexandria Engineering Journal
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    Alexandria Engineering Journal
    Article . 2022
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