IDEAS home Printed from https://ideas.repec.org/a/eco/journ2/2022-04-53.html
   My bibliography  Save this article

A Model for Measuring the Photovoltaic Project Performance in Energy Auctions

Author

Listed:
  • Virginia Thomasi

    (Department of Production and Systems Engineering, Federal University of Santa Maria, Santa Maria, Brazil,)

  • Julio Cezar Mairesse Siluk

    (Department of Production and Systems Engineering, Federal University of Santa Maria, Santa Maria, Brazil,)

  • Paula Donaduzzi Rigo

    (Department of Production and Systems Engineering, Federal University of Santa Maria, Santa Maria, Brazil,)

  • Carmen Brum Rosa

    (Department of Production and Systems Engineering, Federal University of Santa Maria, Santa Maria, Brazil,)

  • Enoque Dutra Garcia

    (Department of Renewable Energies and Environment, Federal University of Pampa, Bag , Brazil,)

  • Ricardo Augusto Cassel

    (Department of Production and Transport Engineering, Federal University of Rio Grande do Sul, Porto Alegre, Brazil,)

  • Carlos Fernando da Silva Ramos

    (Institute of Engineering, Polytechnic of Porto (IPP), R. Dr. Ant nio Bernardino de Almeida, Porto, Portugal.)

Abstract

Electricity trading occurs under different mechanisms in each country, with auctions being one of these mechanisms. Auctions are widely used to determine their remuneration in the scope of clean energy technologies, such as photovoltaics. Added to the auction process s bureaucracies and uncertainties, the competing photovoltaic project must keep its technical and economic performance maximized. Given this context, this study aimed to contribute to the competitiveness of photovoltaic plant projects in energy auctions through a performance diagnosis model to identify, measure, and analyze factors in the designing process. For this, a systematic literature review was performed to identify the factors that influence the implementation of a photovoltaic plant project; additionally, the fuzzy Delphi method was applied to examine the factors importance. An analytic hierarchy process weighted the factors, and the key performance indicators were developed based on the literature and regulation of the electric energy sector. The model was applied in a centralized photovoltaic energy generation project, which presented a performance index of 41.91%, and the sensitivity analysis and prioritization matrix comprised the post-application study of the model. Our model can help planners improve the competitiveness of photovoltaic projects in auctions by observing underperforming indicators.

Suggested Citation

  • Virginia Thomasi & Julio Cezar Mairesse Siluk & Paula Donaduzzi Rigo & Carmen Brum Rosa & Enoque Dutra Garcia & Ricardo Augusto Cassel & Carlos Fernando da Silva Ramos, 2022. "A Model for Measuring the Photovoltaic Project Performance in Energy Auctions," International Journal of Energy Economics and Policy, Econjournals, vol. 12(4), pages 501-511, July.
    • Handle: RePEc:eco:journ2:2022-04-53
    as

    Download full text from publisher

    File URL: https://www.econjournals.com/index.php/ijeep/article/download/13111/6865
    Download Restriction: no
    File URL: https://www.econjournals.com/index.php/ijeep/article/view/13111
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Rediske, Graciele & Siluk, Julio Cezar M. & Michels, Leandro & Rigo, Paula D. & Rosa, Carmen B. & Cugler, Gilberto, 2020. "Multi-criteria decision-making model for assessment of large photovoltaic farms in Brazil," Energy, Elsevier, vol. 197(C).
    2. Đukan, Mak & Kitzing, Lena, 2021. "The impact of auctions on financing conditions and cost of capital for wind energy projects," Energy Policy, Elsevier, vol. 152(C).
    3. Bichler, Martin & Grimm, Veronika & Kretschmer, Sandra & Sutterer, Paul, 2020. "Market design for renewable energy auctions: An analysis of alternative auction formats," Energy Economics, Elsevier, vol. 92(C).
    4. Norman Dalkey & Olaf Helmer, 1963. "An Experimental Application of the DELPHI Method to the Use of Experts," Management Science, INFORMS, vol. 9(3), pages 458-467, April.
    5. Doljak, Dejan & Stanojević, Gorica, 2017. "Evaluation of natural conditions for site selection of ground-mounted photovoltaic power plants in Serbia," Energy, Elsevier, vol. 127(C), pages 291-300.
    6. Mensour, O. Nait & El Ghazzani, B. & Hlimi, B. & Ihlal, A., 2019. "A geographical information system-based multi-criteria method for the evaluation of solar farms locations: A case study in Souss-Massa area, southern Morocco," Energy, Elsevier, vol. 182(C), pages 900-919.
    7. Sreenath, S. & Sudhakar, K. & AF, Yusop, 2021. "7E analysis of a conceptual utility-scale land-based solar photovoltaic power plant," Energy, Elsevier, vol. 219(C).
    8. Daher, Daha Hassan & Gaillard, Léon & Amara, Mohamed & Ménézo, Christophe, 2018. "Impact of tropical desert maritime climate on the performance of a PV grid-connected power plant," Renewable Energy, Elsevier, vol. 125(C), pages 729-737.
    9. Paula Donaduzzi Rigo & Carmen Brum Rosa & Graciele Rediske & Julio Cezar Mairesse Siluk & Leandro Michels, 2022. "A Software Application to Support Decision-making in Small-scale Photovoltaic Projects," International Journal of Energy Economics and Policy, Econjournals, vol. 12(1), pages 32-39.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Christian Manuel Moreno Rocha & Jorge D. Pertuz Ortiz & Neyder A. Rodriguez Ibanez, 2023. "A Diffuse Analysis Based on Analytical Processes to Prioritize Barriers in the Development of Renewable Energy Technologies in Alignment with the United Nations Sustainable Development Goals: Evidence," International Journal of Energy Economics and Policy, Econjournals, vol. 13(4), pages 481-195, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hou, Yali & Wang, Qunwei & Tan, Tao, 2023. "An ensemble learning framework for rooftop photovoltaic project site selection," Energy, Elsevier, vol. 285(C).
    2. Nima Mirzaei, 2022. "A Multicriteria Decision Framework for Solar Power Plant Location Selection Problem with Pythagorean Fuzzy Data: A Case Study on Green Energy in Turkey," Sustainability, MDPI, vol. 14(22), pages 1-18, November.
    3. Sofia Spyridonidou & Eva Loukogeorgaki & Dimitra G. Vagiona & Teresa Bertrand, 2022. "Towards a Sustainable Spatial Planning Approach for PV Site Selection in Portugal," Energies, MDPI, vol. 15(22), pages 1-22, November.
    4. Shao, Meng & Zhao, Yuanxu & Sun, Jinwei & Han, Zhixin & Shao, Zhuxiao, 2023. "A decision framework for tidal current power plant site selection based on GIS-MCDM: A case study in China," Energy, Elsevier, vol. 262(PB).
    5. del Río, Pablo & Kiefer, Christoph P., 2023. "Academic research on renewable electricity auctions: Taking stock and looking forward," Energy Policy, Elsevier, vol. 173(C).
    6. Wati, Elvis & Meukam, Pierre, 2024. "Impact of the climate change on the site suitability for solar farms: Case study of Cameroon," Renewable Energy, Elsevier, vol. 225(C).
    7. Doorga, Jay R.S. & Hall, Jim W. & Eyre, Nick, 2022. "Geospatial multi-criteria analysis for identifying optimum wind and solar sites in Africa: Towards effective power sector decarbonization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    8. Shriki, Noam & Rabinovici, Raul & Yahav, Kobi & Rubin, Ofir, 2023. "Prioritizing suitable locations for national-scale solar PV installations: Israel's site suitability analysis as a case study," Renewable Energy, Elsevier, vol. 205(C), pages 105-124.
    9. Sultan Al-Shammari & Wonsuk Ko & Essam A. Al Ammar & Majed A. Alotaibi & Hyeong-Jin Choi, 2021. "Optimal Decision-Making in Photovoltaic System Selection in Saudi Arabia," Energies, MDPI, vol. 14(2), pages 1-18, January.
    10. Benalcazar, Pablo & Komorowska, Aleksandra & Kamiński, Jacek, 2024. "A GIS-based method for assessing the economics of utility-scale photovoltaic systems," Applied Energy, Elsevier, vol. 353(PA).
    11. Martínez-Gordón, R. & Morales-España, G. & Sijm, J. & Faaij, A.P.C., 2021. "A review of the role of spatial resolution in energy systems modelling: Lessons learned and applicability to the North Sea region," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    12. José Eduardo Tafula & Constantino Dário Justo & Pedro Moura & Jérôme Mendes & Ana Soares, 2023. "Multicriteria Decision-Making Approach for Optimum Site Selection for Off-Grid Solar Photovoltaic Microgrids in Mozambique," Energies, MDPI, vol. 16(6), pages 1-41, March.
    13. Paula Donaduzzi Rigo & Graciele Rediske & Carmen Brum Rosa & Natália Gava Gastaldo & Leandro Michels & Alvaro Luiz Neuenfeldt Júnior & Julio Cezar Mairesse Siluk, 2020. "Renewable Energy Problems: Exploring the Methods to Support the Decision-Making Process," Sustainability, MDPI, vol. 12(23), pages 1-27, December.
    14. Islam, Md. Rabiul & Aziz, Md. Tareq & Alauddin, Mohammed & Kader, Zarjes & Islam, Md. Rakibul, 2024. "Site suitability assessment for solar power plants in Bangladesh: A GIS-based analytical hierarchy process (AHP) and multi-criteria decision analysis (MCDA) approach," Renewable Energy, Elsevier, vol. 220(C).
    15. Gao, Jianwei & Wang, Yaping & Huang, Ningbo & Wei, Lingli & Zhang, Zixuan, 2022. "Optimal site selection study of wind-photovoltaic-shared energy storage power stations based on GIS and multi-criteria decision making: A two-stage framework," Renewable Energy, Elsevier, vol. 201(P1), pages 1139-1162.
    16. Prommer, Lisa & Tiberius, Victor & Kraus, Sascha, 2020. "Exploring the future of startup leadership development," Journal of Business Venturing Insights, Elsevier, vol. 14(C).
    17. Bokrantz, Jon & Skoogh, Anders & Berlin, Cecilia & Stahre, Johan, 2017. "Maintenance in digitalised manufacturing: Delphi-based scenarios for 2030," International Journal of Production Economics, Elsevier, vol. 191(C), pages 154-169.
    18. Seung-Jin Han & Won-Jae Lee & So-Hee Kim & Sang-Hoon Yoon & Hyunwoong Pyun, 2022. "Assessing Expected Long-term Benefits for the Olympic Games: Delphi-AHP Approach from Korean Olympic Experts," SAGE Open, , vol. 12(4), pages 21582440221, December.
    19. Prianto Budi Saptono & Gustofan Mahmud & Intan Pratiwi & Dwi Purwanto & Ismail Khozen & Muhamad Akbar Aditama & Siti Khodijah & Maria Eurelia Wayan & Rina Yuliastuty Asmara & Ferry Jie, 2023. "Development of Climate-Related Disclosure Indicators for Application in Indonesia: A Delphi Method Study," Sustainability, MDPI, vol. 15(14), pages 1-25, July.
    20. Zhang, Hong & Gu, Chao-lin & Gu, Lu-wen & Zhang, Yan, 2011. "The evaluation of tourism destination competitiveness by TOPSIS & information entropy – A case in the Yangtze River Delta of China," Tourism Management, Elsevier, vol. 32(2), pages 443-451.

    More about this item

    Keywords

    Photovoltaic project; Energy auctions; Performance index; Fuzzy Delphi; Analytic hierarchy process; Key performance indicators;
    All these keywords.

    JEL classification:

    • Q - Agricultural and Natural Resource Economics; Environmental and Ecological Economics
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • O - Economic Development, Innovation, Technological Change, and Growth

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eco:journ2:2022-04-53. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ilhan Ozturk (email available below). General contact details of provider: http://www.econjournals.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.