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description Publicationkeyboard_double_arrow_right Project deliverable 2025Publisher:Zenodo Funded by:DFGDFGWeko, Silvia; Malhotra, Puru; Chaianong, Aksornchan; Milioritsas, Ioannis; Lilliestam, Johan;This is the deliverable for NFDI4Energy, Task Area 2, Deliverable D2.2.2.1: Data on policy support for renewable electricity and electric vehicles. The data associated with this deliverable is published with CC BY-SA 4.0. Please cite it as: Weko, S., Malhotra, P., Bold, F., Chaianong, A., Günkördü, D., Kurt, A., Milioritsas, I., and Lilliestam, J. (2025): Data on policy support for electric vehicles (Version 1, February 2025). Sustainability Transition Policy Group, Friedrich-Alexander-Universität Erlangen-Nürnberg. DOI: 10.5281/zenodo.15477180 Weko, S., Malhotra, P., Bold, F., Chaianong, A., Günkördü, D., Kurt, A., Milioritsas, I., and Lilliestam, J. (2025): Data on policy support for renewable electricity (Version 1, February 2025). Sustainability Transition Policy Group, Friedrich-Alexander-Universität Erlangen-Nürnberg. DOI: 10.5281/zenodo.15476330. The authors of this article have used various preparatory works from the NFDI4Energy to create this portrait, and references have been made where possible. Thanks to all those who are not named. The authors would like to thank the German Federal Government, the German State Governments, and the Joint Science Conference (GWK) for their funding and support as part of the NFDI4Energy consortium. The work was funded by the German Research Foundation (DFG) – 501865131 within the German National Research Data Infrastructure (NFDI, www.nfdi.de).
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For further information contact us at helpdesk@openaire.eumore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.15477243&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object , Other literature type 2022Embargo end date: 30 Sep 2022Publisher:Elsevier BV Funded by:SNSF | Machine Learning for Dema...SNSF| Machine Learning for Demand Response (ML4DR)Authors: Aksornchan Chaianong; Christian Winzer; Mario Gellrich;Accurate load forecasting is essential for power-sector planning and management. This applies during normal situations as well as phase changes such as the Coronavirus (COVID-19) pandemic due to variations in electricity consumption that made it difficult for system operators to forecast load accurately. So far, few studies have used traffic data to improve load prediction accuracy. This paper aims to investigate the influence of traffic data in combination with other commonly used features (historical load, weather, and time) – to better predict short-term residential electricity consumption. Based on data from two selected distribution grid areas in Switzerland and random forest as a forecasting technique, the findings suggest that the impact of traffic data on load forecasts is much smaller than the impact of time variables. However, traffic data could improve load forecasting where information on historical load is not available. Another benefit of using traffic data is that it might explain the phenomenon of interest better than historical electricity demand. Some of our findings vary greatly between the two datasets, indicating the importance of studies based on larger numbers of datasets, features, and forecasting approaches.
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.esr.2022.100895&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 3 citations 3 popularity Top 10% influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.esr.2022.100895&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2019 United StatesPublisher:MDPI AG Authors: Chaianong, Aksornchan; Bangviwat, Athikom; Menke, Christoph; Darghouth, Naïm R;doi: 10.3390/en12122265
Driven by falling photovoltaic (PV) installation costs and potential support policies, rooftop PV is expected to expand rapidly in Thailand. As a result, the relevant stakeholders, especially utilities, have concerns about the net economic impacts of high PV adoption. Using a cost–benefit analysis, this study quantifies the net economic impacts of rooftop PV systems on three utilities and on ratepayers in Thailand by applying nine different PV adoption scenarios with various buyback rates and annual percentages of PV cost reduction. Under Thailand’s current electricity tariff structure, Thai utilities are well-protected and able to pass all costs due to PV onto the ratepayers in terms of changes in retail rates. We find that when PV adoption is low, the net economic impacts on both the utilities and retail rates are small and the impacts on each utility depend on its specific characteristics. On the other hand, when PV adoption ranges from 9–14% in energy basis, five-year retail rate impacts become noticeable and are between 6% and 11% as compared to the projected retail rates in 2036 depending on the PV adoption level. Thus, it is necessary for Thailand to make tradeoffs among the stakeholders and maximize the benefits of rooftop PV adoption.
Energies arrow_drop_down EnergiesOther literature type . 2019License: CC BYFull-Text: http://www.mdpi.com/1996-1073/12/12/2265/pdfData sources: Multidisciplinary Digital Publishing InstituteUniversity of California: eScholarshipArticle . 2019Full-Text: https://escholarship.org/uc/item/02j91460Data sources: Bielefeld Academic Search Engine (BASE)eScholarship - University of CaliforniaArticle . 2019Data sources: eScholarship - University of Californiaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en12122265&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 9 citations 9 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Energies arrow_drop_down EnergiesOther literature type . 2019License: CC BYFull-Text: http://www.mdpi.com/1996-1073/12/12/2265/pdfData sources: Multidisciplinary Digital Publishing InstituteUniversity of California: eScholarshipArticle . 2019Full-Text: https://escholarship.org/uc/item/02j91460Data sources: Bielefeld Academic Search Engine (BASE)eScholarship - University of CaliforniaArticle . 2019Data sources: eScholarship - University of Californiaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en12122265&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2025Publisher:Zenodo Funded by:DFGDFGChaianong, Aksornchan; Malhotra, Puru; Milioritsas, Ioannis; Weko, Silvia; Lilliestam, Johan;This dataset was developed by Aksornchan Chaianong and Puru Malhotra (Sustainability Transition Policy Group, Friedrich-Alexander-Universität Erlangen-Nürnberg) from 2024 to February 2025. Aksornchan Chaianong led the work, which was supported by Ioannis Milioritsas, Silvia Weko, and Johan Lilliestam (Sustainability Transition Policy Group, Friedrich-Alexander-Universität Erlangen-Nürnberg). The data is published with CC BY-SA 4.0. Please cite it as: Chaianong, A., Malhotra P., Milioritsas, I., Weko, S., and Lilliestam, J. (2025): Data on climate targets (Version 1, February 2025). Sustainability Transition Policy Group, Friedrich-Alexander-Universität Erlangen-Nürnberg. DOI: 10.5281/zenodo.15476049. The authors would like to thank the German Federal Government, the German State Governments, and the Joint Science Conference (GWK) for their funding and support as part of the NFDI4Energy consortium. The work was funded by the German Research Foundation (DFG) – 501865131 within the German National Research Data Infrastructure (NFDI, www.nfdi.de). Aksornchan Chaianong would also like to thank the Office for Equal Opportunities for Women in Science and the Arts at the School of Business, Economics, and Law at FAU Erlangen-Nürnberg for the Individual Career Development funding.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.15476049&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eumore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.15476049&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2015Publisher:Elsevier BV Authors: Aksornchan Chaianong; Chanathip Pharino;Abstract Solar photovoltaic (PV) rooftops have significant potentials for reducing reliance on conventional energy source and enhancing energy security in response to emergency situations or in remote areas. Widespread adaptation of solar PV rooftops can also help address climate change issue via lower overall emission of Greenhouse Gases. This paper reviewed the latest situation of solar PV rooftop implementation, expansion and execution strategies in Thailand. The review examined factors impacting adoption rate of solar PV rooftops. Supporting factors include optimum solar radiation intensity, active renewable energy development policy and Feed-In Tariff (FIT). Increasing urbanization rate also resulted in an increase in potential space suitable for solar panel installation. Barriers of solar PV rooftop implementation in Thailand were carefully analyzed. Limitation in domestic technology and technical experiences in manufacturing sector is one of the major barriers inhibiting progress in solar rooftop adoption. In addition, government subsidy and support are still needed for solar PV rooftops to be competitive with other forms of energy generation. Increasing public awareness and reforming of energy and related regulations are necessary to promote meaningful implementation of solar energy in Thailand. To enhance rate of solar PV rooftop installation in Thailand, a short-term strategy could be in a form of providing financial supports such as low interest rate loans, tax credits and development of renewable portfolio standards together with the current FIT scheme. In the longer-term, to achieve grid parity, the government and private sectors need to rely less on financial subsidies and focus on establishing R&D centers to develop and strengthen domestic solar energy industry and introduce cost-effective solar PV solutions. With effective policies and credible solutions with a viable market, public demand in solar rooftop implementation in urban areas will naturally increase and create sustainable progress in solar rooftop industry in Thailand.
Renewable and Sustai... arrow_drop_down Renewable and Sustainable Energy ReviewsArticle . 2015 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.rser.2015.04.042&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu51 citations 51 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Renewable and Sustai... arrow_drop_down Renewable and Sustainable Energy ReviewsArticle . 2015 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.rser.2015.04.042&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2024 NorwayPublisher:Elsevier BV Sopitsuda Tongsopit; Siripha Junlakarn; Aksornchan Chaianong; Indra Overland; Roman Vakulchuk;Forecasts of distributed energy resource deployment are becoming increasingly important in electric power purchase plans and difficult for countries with limited data. This study utilizes the Customer Adoption Model to forecast the deployment of behind-the-meter distributed solar photovoltaics and battery energy storage systems until the year 2050 and Thailand is used as a case study of the countries with limited data. Comparing methods and results from this study with those used in past studies shows that methodological choices can produce diverging results that shape investment plans and the estimated cost of power supplies. Several input variables of the Customer Adoption Model are discussed that will require continuous refinements as more data become available. The results show that pairing solar systems with batteries could in principle accelerate solar deployment and carbon emissions reduction but the high cost of batteries lengthens the payback period, raising questions about forecasting methodologies that rely mainly on the payback period. The methodological contribution points to a "chicken-and-egg" problem between forecasting and policy uncertainties: accurate forecasting depends on policy certainty, but getting policy right depends on accurate forecasting. Integrated scenario construction and the determination of a specific timeframe for achieving the adoption goal can help policymakers understand the impacts of different policy designs on distributed energy resource deployment and overcome this problem.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.heliyon.2024.e23997&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 2 citations 2 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.heliyon.2024.e23997&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2019Publisher:Elsevier BV Athikom Bangviwat; Christoph Menke; Christoph Menke; Aksornchan Chaianong; Sopitsuda Tongsopit;Abstract Since a new policy supporting rooftop photovoltaics (PV) will be launched in Thailand, this study investigates the economics of utility customers' investments in rooftop PV (values of bill savings) for four customer groups (residential scale, small general service, medium general service and large general service) across electricity tariffs, PV-to-load ratios and compensation schemes (net metering and net billing). The values of the bill savings of all groups are higher under the conditions of higher buyback rates/credit, lower PV-to-load ratios, and higher retail rates. Under the current retail rate design, the values of the bill savings of residential and small general service groups are slightly higher than those of medium and large general service groups, since there are demand charges for the latter two groups that cannot be completely avoided using rooftop PV. Load shapes do not significantly impact the values of the bill savings for all customer groups. Additionally, net metering causes a smaller variation in bill savings as compared to net billing, implying more flexibility for the customers to size their PV systems over a broader range. In contrast, net billing would encourage customers to limit their PV sizes, thereby mitigating the concerns of the utilities.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.renene.2018.07.057&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu28 citations 28 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.renene.2018.07.057&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Project deliverable 2025Publisher:Zenodo Funded by:DFGDFGChaianong, Aksornchan; Milioritsas, Ioannis; Malhotra, Puru; Günkördü, Dogukan; Weko, Silvia; Weiß, Johannes; Lilliestam, Johan;This is the deliverable for NFDI4Energy, Task Area 2, Measure 2.2, Deliverable D2.2.1.1: Data on landscape and environmental regulations for energy production and infrastructure The data associated with this deliverable is published with CC BY-SA 4.0. Please cite it as: Chaianong, A., Milioritsas, I., Malhotra P., Günkördü D., Weiß, J., Weko, S., and Lilliestam, J. (2025): Data on landscape and environmental regulations for energy production and infrastructure (Version 1, February 2025). Sustainability Transition Policy Group, Friedrich-Alexander-Universität Erlangen-Nürnberg. DOI: 10.5281/zenodo.15474054. The authors of this article have used various preparatory works from the NFDI4Energy to create this portrait, and references have been made where possible. Thanks to all those who are not named. The authors would like to thank the German Federal Government, the German State Governments, and the Joint Science Conference (GWK) for their funding and support as part of the NFDI4Energy consortium. The work was funded by the German Research Foundation (DFG) – 501865131 within the German National Research Data Infrastructure (NFDI, www.nfdi.de). The authors would also like to thank the interviewees listed in the Methodology section for their valuable input.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.15477076&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eumore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.15477076&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2020 NetherlandsPublisher:Elsevier BV Barbara Breitschopf; Christoph Menke; Christoph Menke; Wolfgang Eichhammer; Aksornchan Chaianong; Athikom Bangviwat;The currently high upfront costs of batteries and the low retail electricity prices of households make investments in PV–battery systems not yet economically feasible. However, the experiences/learning curves of renewable generation technologies lead to the assumption that battery prices will rapidly decline with increasing diffusion. Furthermore, projected retail electricity rates are expected to increase with rising electricity demand. This study investigates the returns to residential customers using PV–battery systems under decreasing battery prices in Thailand. The impacts of four additional parameters have been included. The analysis is based mainly on net present values (NPV) and levelized costs of electricity (LCOE). The results show that battery size and its cost, and retail rate design have significant impacts on the returns, whereas buyback incentives for excess electricity have the lowest impact. In addition, to increase the power system flexibility by using PV–battery systems, the Thai government should provide the appropriate financial support, by which the savings incurred by the grid extension investments compensate for the costs.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.renene.2019.06.159&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 59 citations 59 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.renene.2019.06.159&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2025Publisher:Zenodo Funded by:DFGDFGWeko, Silvia; Malhotra, Puru; Chaianong, Aksornchan; Kurt, Ayda; Günkördü, Dogukan; Milioritsas, Ioannis; Weiß, Johannes; Lilliestam, Johan;This dataset contains detailed, machine-readable data on support policies for electric vehicle adoption from the years 2000-2024 for Germany, Greece, Ireland, and France. It contains information on the following policy instruments: Subsidies Tax incentives (rebates, exemptions) Fee decreases or exemptions Feebates or bonus/malus schemes Soft loans Tenders with additional financial support Incentives to promote user behavioral change Technology standards The work was performed by Silvia Weko, Puru Malhotra, Aksornchan Chaianong, Ioannis Milioritsas, Dogukan Günkördü, Ayda Kurt, Franziska Bold, and Johan Lilliestam, during 2024-2025. The work was led by Silvia Weko and data were cleaned by Puru Malhotra and Silvia Weko. Data were gathered by PM, IM, DG, AK, FB, and SW. AC and JL contributed to the research structure and process. The data is published with CC BY-SA 4.0. The dataset should be cited as: Weko, S., Malhotra, P., Bold, F., Chaianong, A., Günkördü, D., Kurt, A., Milioritsas, I., and Lilliestam, J. (2025): Data on policy support for electric vehicles (Version 1, February 2025). Sustainability Transition Policy Group, Friedrich-Alexander-Universität Erlangen-Nürnberg. DOI 10.5281/zenodo.15476330. The authors would like to thank the German Federal Government, the German State Governments, and the Joint Science Conference (GWK) for their funding and support as part of the NFDI4Energy consortium. The work was funded by the German Research Foundation (DFG) – 501865131 within the German National Research Data Infrastructure (NFDI, www.nfdi.de). Silvia Weko would also like to thank the Office for Equal Opportunities for Women in Science and the Arts at the School of Business, Economics, and Law at FAU Erlangen-Nürnberg.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.15476330&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eumore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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description Publicationkeyboard_double_arrow_right Project deliverable 2025Publisher:Zenodo Funded by:DFGDFGWeko, Silvia; Malhotra, Puru; Chaianong, Aksornchan; Milioritsas, Ioannis; Lilliestam, Johan;This is the deliverable for NFDI4Energy, Task Area 2, Deliverable D2.2.2.1: Data on policy support for renewable electricity and electric vehicles. The data associated with this deliverable is published with CC BY-SA 4.0. Please cite it as: Weko, S., Malhotra, P., Bold, F., Chaianong, A., Günkördü, D., Kurt, A., Milioritsas, I., and Lilliestam, J. (2025): Data on policy support for electric vehicles (Version 1, February 2025). Sustainability Transition Policy Group, Friedrich-Alexander-Universität Erlangen-Nürnberg. DOI: 10.5281/zenodo.15477180 Weko, S., Malhotra, P., Bold, F., Chaianong, A., Günkördü, D., Kurt, A., Milioritsas, I., and Lilliestam, J. (2025): Data on policy support for renewable electricity (Version 1, February 2025). Sustainability Transition Policy Group, Friedrich-Alexander-Universität Erlangen-Nürnberg. DOI: 10.5281/zenodo.15476330. The authors of this article have used various preparatory works from the NFDI4Energy to create this portrait, and references have been made where possible. Thanks to all those who are not named. The authors would like to thank the German Federal Government, the German State Governments, and the Joint Science Conference (GWK) for their funding and support as part of the NFDI4Energy consortium. The work was funded by the German Research Foundation (DFG) – 501865131 within the German National Research Data Infrastructure (NFDI, www.nfdi.de).
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.15477243&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eumore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.15477243&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object , Other literature type 2022Embargo end date: 30 Sep 2022Publisher:Elsevier BV Funded by:SNSF | Machine Learning for Dema...SNSF| Machine Learning for Demand Response (ML4DR)Authors: Aksornchan Chaianong; Christian Winzer; Mario Gellrich;Accurate load forecasting is essential for power-sector planning and management. This applies during normal situations as well as phase changes such as the Coronavirus (COVID-19) pandemic due to variations in electricity consumption that made it difficult for system operators to forecast load accurately. So far, few studies have used traffic data to improve load prediction accuracy. This paper aims to investigate the influence of traffic data in combination with other commonly used features (historical load, weather, and time) – to better predict short-term residential electricity consumption. Based on data from two selected distribution grid areas in Switzerland and random forest as a forecasting technique, the findings suggest that the impact of traffic data on load forecasts is much smaller than the impact of time variables. However, traffic data could improve load forecasting where information on historical load is not available. Another benefit of using traffic data is that it might explain the phenomenon of interest better than historical electricity demand. Some of our findings vary greatly between the two datasets, indicating the importance of studies based on larger numbers of datasets, features, and forecasting approaches.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.esr.2022.100895&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 3 citations 3 popularity Top 10% influence Average impulse Average Powered by BIP!
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2019 United StatesPublisher:MDPI AG Authors: Chaianong, Aksornchan; Bangviwat, Athikom; Menke, Christoph; Darghouth, Naïm R;doi: 10.3390/en12122265
Driven by falling photovoltaic (PV) installation costs and potential support policies, rooftop PV is expected to expand rapidly in Thailand. As a result, the relevant stakeholders, especially utilities, have concerns about the net economic impacts of high PV adoption. Using a cost–benefit analysis, this study quantifies the net economic impacts of rooftop PV systems on three utilities and on ratepayers in Thailand by applying nine different PV adoption scenarios with various buyback rates and annual percentages of PV cost reduction. Under Thailand’s current electricity tariff structure, Thai utilities are well-protected and able to pass all costs due to PV onto the ratepayers in terms of changes in retail rates. We find that when PV adoption is low, the net economic impacts on both the utilities and retail rates are small and the impacts on each utility depend on its specific characteristics. On the other hand, when PV adoption ranges from 9–14% in energy basis, five-year retail rate impacts become noticeable and are between 6% and 11% as compared to the projected retail rates in 2036 depending on the PV adoption level. Thus, it is necessary for Thailand to make tradeoffs among the stakeholders and maximize the benefits of rooftop PV adoption.
Energies arrow_drop_down EnergiesOther literature type . 2019License: CC BYFull-Text: http://www.mdpi.com/1996-1073/12/12/2265/pdfData sources: Multidisciplinary Digital Publishing InstituteUniversity of California: eScholarshipArticle . 2019Full-Text: https://escholarship.org/uc/item/02j91460Data sources: Bielefeld Academic Search Engine (BASE)eScholarship - University of CaliforniaArticle . 2019Data sources: eScholarship - University of Californiaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en12122265&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 9 citations 9 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Energies arrow_drop_down EnergiesOther literature type . 2019License: CC BYFull-Text: http://www.mdpi.com/1996-1073/12/12/2265/pdfData sources: Multidisciplinary Digital Publishing InstituteUniversity of California: eScholarshipArticle . 2019Full-Text: https://escholarship.org/uc/item/02j91460Data sources: Bielefeld Academic Search Engine (BASE)eScholarship - University of CaliforniaArticle . 2019Data sources: eScholarship - University of Californiaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en12122265&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2025Publisher:Zenodo Funded by:DFGDFGChaianong, Aksornchan; Malhotra, Puru; Milioritsas, Ioannis; Weko, Silvia; Lilliestam, Johan;This dataset was developed by Aksornchan Chaianong and Puru Malhotra (Sustainability Transition Policy Group, Friedrich-Alexander-Universität Erlangen-Nürnberg) from 2024 to February 2025. Aksornchan Chaianong led the work, which was supported by Ioannis Milioritsas, Silvia Weko, and Johan Lilliestam (Sustainability Transition Policy Group, Friedrich-Alexander-Universität Erlangen-Nürnberg). The data is published with CC BY-SA 4.0. Please cite it as: Chaianong, A., Malhotra P., Milioritsas, I., Weko, S., and Lilliestam, J. (2025): Data on climate targets (Version 1, February 2025). Sustainability Transition Policy Group, Friedrich-Alexander-Universität Erlangen-Nürnberg. DOI: 10.5281/zenodo.15476049. The authors would like to thank the German Federal Government, the German State Governments, and the Joint Science Conference (GWK) for their funding and support as part of the NFDI4Energy consortium. The work was funded by the German Research Foundation (DFG) – 501865131 within the German National Research Data Infrastructure (NFDI, www.nfdi.de). Aksornchan Chaianong would also like to thank the Office for Equal Opportunities for Women in Science and the Arts at the School of Business, Economics, and Law at FAU Erlangen-Nürnberg for the Individual Career Development funding.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.15476049&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eumore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.15476049&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2015Publisher:Elsevier BV Authors: Aksornchan Chaianong; Chanathip Pharino;Abstract Solar photovoltaic (PV) rooftops have significant potentials for reducing reliance on conventional energy source and enhancing energy security in response to emergency situations or in remote areas. Widespread adaptation of solar PV rooftops can also help address climate change issue via lower overall emission of Greenhouse Gases. This paper reviewed the latest situation of solar PV rooftop implementation, expansion and execution strategies in Thailand. The review examined factors impacting adoption rate of solar PV rooftops. Supporting factors include optimum solar radiation intensity, active renewable energy development policy and Feed-In Tariff (FIT). Increasing urbanization rate also resulted in an increase in potential space suitable for solar panel installation. Barriers of solar PV rooftop implementation in Thailand were carefully analyzed. Limitation in domestic technology and technical experiences in manufacturing sector is one of the major barriers inhibiting progress in solar rooftop adoption. In addition, government subsidy and support are still needed for solar PV rooftops to be competitive with other forms of energy generation. Increasing public awareness and reforming of energy and related regulations are necessary to promote meaningful implementation of solar energy in Thailand. To enhance rate of solar PV rooftop installation in Thailand, a short-term strategy could be in a form of providing financial supports such as low interest rate loans, tax credits and development of renewable portfolio standards together with the current FIT scheme. In the longer-term, to achieve grid parity, the government and private sectors need to rely less on financial subsidies and focus on establishing R&D centers to develop and strengthen domestic solar energy industry and introduce cost-effective solar PV solutions. With effective policies and credible solutions with a viable market, public demand in solar rooftop implementation in urban areas will naturally increase and create sustainable progress in solar rooftop industry in Thailand.
Renewable and Sustai... arrow_drop_down Renewable and Sustainable Energy ReviewsArticle . 2015 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.rser.2015.04.042&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu51 citations 51 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Renewable and Sustai... arrow_drop_down Renewable and Sustainable Energy ReviewsArticle . 2015 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.rser.2015.04.042&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2024 NorwayPublisher:Elsevier BV Sopitsuda Tongsopit; Siripha Junlakarn; Aksornchan Chaianong; Indra Overland; Roman Vakulchuk;Forecasts of distributed energy resource deployment are becoming increasingly important in electric power purchase plans and difficult for countries with limited data. This study utilizes the Customer Adoption Model to forecast the deployment of behind-the-meter distributed solar photovoltaics and battery energy storage systems until the year 2050 and Thailand is used as a case study of the countries with limited data. Comparing methods and results from this study with those used in past studies shows that methodological choices can produce diverging results that shape investment plans and the estimated cost of power supplies. Several input variables of the Customer Adoption Model are discussed that will require continuous refinements as more data become available. The results show that pairing solar systems with batteries could in principle accelerate solar deployment and carbon emissions reduction but the high cost of batteries lengthens the payback period, raising questions about forecasting methodologies that rely mainly on the payback period. The methodological contribution points to a "chicken-and-egg" problem between forecasting and policy uncertainties: accurate forecasting depends on policy certainty, but getting policy right depends on accurate forecasting. Integrated scenario construction and the determination of a specific timeframe for achieving the adoption goal can help policymakers understand the impacts of different policy designs on distributed energy resource deployment and overcome this problem.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.heliyon.2024.e23997&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 2 citations 2 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.heliyon.2024.e23997&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2019Publisher:Elsevier BV Athikom Bangviwat; Christoph Menke; Christoph Menke; Aksornchan Chaianong; Sopitsuda Tongsopit;Abstract Since a new policy supporting rooftop photovoltaics (PV) will be launched in Thailand, this study investigates the economics of utility customers' investments in rooftop PV (values of bill savings) for four customer groups (residential scale, small general service, medium general service and large general service) across electricity tariffs, PV-to-load ratios and compensation schemes (net metering and net billing). The values of the bill savings of all groups are higher under the conditions of higher buyback rates/credit, lower PV-to-load ratios, and higher retail rates. Under the current retail rate design, the values of the bill savings of residential and small general service groups are slightly higher than those of medium and large general service groups, since there are demand charges for the latter two groups that cannot be completely avoided using rooftop PV. Load shapes do not significantly impact the values of the bill savings for all customer groups. Additionally, net metering causes a smaller variation in bill savings as compared to net billing, implying more flexibility for the customers to size their PV systems over a broader range. In contrast, net billing would encourage customers to limit their PV sizes, thereby mitigating the concerns of the utilities.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.renene.2018.07.057&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu28 citations 28 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.renene.2018.07.057&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Project deliverable 2025Publisher:Zenodo Funded by:DFGDFGChaianong, Aksornchan; Milioritsas, Ioannis; Malhotra, Puru; Günkördü, Dogukan; Weko, Silvia; Weiß, Johannes; Lilliestam, Johan;This is the deliverable for NFDI4Energy, Task Area 2, Measure 2.2, Deliverable D2.2.1.1: Data on landscape and environmental regulations for energy production and infrastructure The data associated with this deliverable is published with CC BY-SA 4.0. Please cite it as: Chaianong, A., Milioritsas, I., Malhotra P., Günkördü D., Weiß, J., Weko, S., and Lilliestam, J. (2025): Data on landscape and environmental regulations for energy production and infrastructure (Version 1, February 2025). Sustainability Transition Policy Group, Friedrich-Alexander-Universität Erlangen-Nürnberg. DOI: 10.5281/zenodo.15474054. The authors of this article have used various preparatory works from the NFDI4Energy to create this portrait, and references have been made where possible. Thanks to all those who are not named. The authors would like to thank the German Federal Government, the German State Governments, and the Joint Science Conference (GWK) for their funding and support as part of the NFDI4Energy consortium. The work was funded by the German Research Foundation (DFG) – 501865131 within the German National Research Data Infrastructure (NFDI, www.nfdi.de). The authors would also like to thank the interviewees listed in the Methodology section for their valuable input.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.15477076&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eumore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.15477076&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2020 NetherlandsPublisher:Elsevier BV Barbara Breitschopf; Christoph Menke; Christoph Menke; Wolfgang Eichhammer; Aksornchan Chaianong; Athikom Bangviwat;The currently high upfront costs of batteries and the low retail electricity prices of households make investments in PV–battery systems not yet economically feasible. However, the experiences/learning curves of renewable generation technologies lead to the assumption that battery prices will rapidly decline with increasing diffusion. Furthermore, projected retail electricity rates are expected to increase with rising electricity demand. This study investigates the returns to residential customers using PV–battery systems under decreasing battery prices in Thailand. The impacts of four additional parameters have been included. The analysis is based mainly on net present values (NPV) and levelized costs of electricity (LCOE). The results show that battery size and its cost, and retail rate design have significant impacts on the returns, whereas buyback incentives for excess electricity have the lowest impact. In addition, to increase the power system flexibility by using PV–battery systems, the Thai government should provide the appropriate financial support, by which the savings incurred by the grid extension investments compensate for the costs.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.renene.2019.06.159&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 59 citations 59 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.renene.2019.06.159&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2025Publisher:Zenodo Funded by:DFGDFGWeko, Silvia; Malhotra, Puru; Chaianong, Aksornchan; Kurt, Ayda; Günkördü, Dogukan; Milioritsas, Ioannis; Weiß, Johannes; Lilliestam, Johan;This dataset contains detailed, machine-readable data on support policies for electric vehicle adoption from the years 2000-2024 for Germany, Greece, Ireland, and France. It contains information on the following policy instruments: Subsidies Tax incentives (rebates, exemptions) Fee decreases or exemptions Feebates or bonus/malus schemes Soft loans Tenders with additional financial support Incentives to promote user behavioral change Technology standards The work was performed by Silvia Weko, Puru Malhotra, Aksornchan Chaianong, Ioannis Milioritsas, Dogukan Günkördü, Ayda Kurt, Franziska Bold, and Johan Lilliestam, during 2024-2025. The work was led by Silvia Weko and data were cleaned by Puru Malhotra and Silvia Weko. Data were gathered by PM, IM, DG, AK, FB, and SW. AC and JL contributed to the research structure and process. The data is published with CC BY-SA 4.0. The dataset should be cited as: Weko, S., Malhotra, P., Bold, F., Chaianong, A., Günkördü, D., Kurt, A., Milioritsas, I., and Lilliestam, J. (2025): Data on policy support for electric vehicles (Version 1, February 2025). Sustainability Transition Policy Group, Friedrich-Alexander-Universität Erlangen-Nürnberg. DOI 10.5281/zenodo.15476330. The authors would like to thank the German Federal Government, the German State Governments, and the Joint Science Conference (GWK) for their funding and support as part of the NFDI4Energy consortium. The work was funded by the German Research Foundation (DFG) – 501865131 within the German National Research Data Infrastructure (NFDI, www.nfdi.de). Silvia Weko would also like to thank the Office for Equal Opportunities for Women in Science and the Arts at the School of Business, Economics, and Law at FAU Erlangen-Nürnberg.
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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