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Bill saving analysis of rooftop PV customers and policy implications for Thailand

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  • Chaianong, Aksornchan
  • Tongsopit, Sopitsuda
  • Bangviwat, Athikom
  • Menke, Christoph

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.

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  • Chaianong, Aksornchan & Tongsopit, Sopitsuda & Bangviwat, Athikom & Menke, Christoph, 2019. "Bill saving analysis of rooftop PV customers and policy implications for Thailand," Renewable Energy, Elsevier, vol. 131(C), pages 422-434.
  • Handle: RePEc:eee:renene:v:131:y:2019:i:c:p:422-434
    DOI: 10.1016/j.renene.2018.07.057
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    2. Tongsopit, Sopitsuda & Junlakarn, Siripha & Wibulpolprasert, Wichsinee & Chaianong, Aksornchan & Kokchang, Phimsupha & Hoang, Nghia Vu, 2019. "The economics of solar PV self-consumption in Thailand," Renewable Energy, Elsevier, vol. 138(C), pages 395-408.
    3. Methee Srikranjanapert & Siripha Junlakarn & Naebboon Hoonchareon, 2021. "How an Integration of Home Energy Management and Battery System Affects the Economic Benefits of Residential PV System Owners in Thailand," Sustainability, MDPI, vol. 13(5), pages 1-20, March.
    4. Suntiti Yoomak & Theerasak Patcharoen & Atthapol Ngaopitakkul, 2019. "Performance and Economic Evaluation of Solar Rooftop Systems in Different Regions of Thailand," Sustainability, MDPI, vol. 11(23), pages 1-20, November.
    5. Opoku, Richard & Obeng, George Y. & Adjei, Eunice A. & Davis, Francis & Akuffo, Fred O., 2020. "Integrated system efficiency in reducing redundancy and promoting residential renewable energy in countries without net-metering: A case study of a SHS in Ghana," Renewable Energy, Elsevier, vol. 155(C), pages 65-78.
    6. Aksornchan Chaianong & Athikom Bangviwat & Christoph Menke & Naïm R. Darghouth, 2019. "Cost–Benefit Analysis of Rooftop PV Systems on Utilities and Ratepayers in Thailand," Energies, MDPI, vol. 12(12), pages 1-26, June.
    7. Wichsinee Wibulpolprasert & Umnouy Ponsukcharoen & Siripha Junlakarn & Sopitsuda Tongsopit, 2021. "Preliminarily Screening Geographical Hotspots for New Rooftop PV Installation: A Case Study in Thailand," Energies, MDPI, vol. 14(11), pages 1-30, June.
    8. Hidayatno, Akhmad & Setiawan, Andri D. & Wikananda Supartha, I Made & Moeis, Armand O. & Rahman, Irvanu & Widiono, Eddie, 2020. "Investigating policies on improving household rooftop photovoltaics adoption in Indonesia," Renewable Energy, Elsevier, vol. 156(C), pages 731-742.
    9. Chawin Prapanukool & Surachai Chaitusaney, 2020. "Designing Solar Power Purchase Agreement of Rooftop PVs with Battery Energy Storage Systems under the Behind-the-Meter Scheme," Energies, MDPI, vol. 13(17), pages 1-18, August.
    10. Ngoc Thien Le & Watit Benjapolakul, 2019. "Evaluation of Contribution of PV Array and Inverter Configurations to Rooftop PV System Energy Yield Using Machine Learning Techniques," Energies, MDPI, vol. 12(16), pages 1-13, August.
    11. Bakdi, Azzeddine & Bounoua, Wahiba & Mekhilef, Saad & Halabi, Laith M., 2019. "Nonparametric Kullback-divergence-PCA for intelligent mismatch detection and power quality monitoring in grid-connected rooftop PV," Energy, Elsevier, vol. 189(C).
    12. Chaianong, Aksornchan & Bangviwat, Athikom & Menke, Christoph & Breitschopf, Barbara & Eichhammer, Wolfgang, 2020. "Customer economics of residential PV–battery systems in Thailand," Renewable Energy, Elsevier, vol. 146(C), pages 297-308.

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