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Sustainable Energy Strategies for Power Purchase Agreements (PPAs)

Author

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  • Marios Stanitsas

    (School of Mechanical Engineering, National Technical University of Athens, 15780 Zografos, Greece
    ABO Wind AG, 65195 Wiesbaden, Germany)

  • Konstantinos Kirytopoulos

    (School of Mechanical Engineering, National Technical University of Athens, 15780 Zografos, Greece)

Abstract

During the last years, renewable energy strategies for sustainable development perform as best practices and strategic insights necessary to support large scale organizations’ approach to sustainability. Power purchase agreements (PPAs) enhance the value of such initiatives. A renewable PPA contract delivers green energy efficiently to organizations that seek sustainability benefits. Consequently, various approaches that define PPAs are utilized to motivate both interested parties to participate in such deals. Highlighting sustainability tactics during negotiations and identifying relative impacts during the projects’ implementation are both necessary. Following the methodological approach of this study, open-ended criteria are used to identify vital negotiation pricing patterns that permit practitioners to deliver win–win outcomes. The aim of this research is to introduce a multicriteria decision analysis-based method, namely PROMETHEE, to evaluate the implementation of sustainability-related strategies using PPAs. This paper proposes a method for ranking alternative sustainable energy strategies in order for decision-makers to be able to select the most appropriate PPA structure for an organization.

Suggested Citation

  • Marios Stanitsas & Konstantinos Kirytopoulos, 2023. "Sustainable Energy Strategies for Power Purchase Agreements (PPAs)," Sustainability, MDPI, vol. 15(8), pages 1-19, April.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:8:p:6638-:d:1123225
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    References listed on IDEAS

    as
    1. Gabrielli, Paolo & Aboutalebi, Reyhaneh & Sansavini, Giovanni, 2022. "Mitigating financial risk of corporate power purchase agreements via portfolio optimization," Energy Economics, Elsevier, vol. 109(C).
    2. Ali, Babkir & Hedayati-Dezfooli, M. & Gamil, Ahmed, 2023. "Sustainability assessment of alternative energy power generation pathways through the development of impact indicators for water, land, GHG emissions, and cost," Renewable and Sustainable Energy Reviews, Elsevier, vol. 171(C).
    3. Victoria Wibeck & Björn-Ola Linnér & Melisa Alves & Therese Asplund & Anna Bohman & Maxwell T. Boykoff & Pamela M. Feetham & Yi Huang & Januario Nascimento & Jessica Rich & Charles Yvon Rocha & Franco, 2019. "Stories of Transformation: A Cross-Country Focus Group Study on Sustainable Development and Societal Change," Sustainability, MDPI, vol. 11(8), pages 1-19, April.
    4. Angelis, Aris & Kanavos, Panos, 2017. "Multiple Criteria Decision Analysis (MCDA) for evaluating new medicines in Health Technology Assessment and beyond: The Advance Value Framework," Social Science & Medicine, Elsevier, vol. 188(C), pages 137-156.
    5. Mendicino, Luca & Menniti, Daniele & Pinnarelli, Anna & Sorrentino, Nicola, 2019. "Corporate power purchase agreement: Formulation of the related levelized cost of energy and its application to a real life case study," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    6. Andreopoulou, Zacharoula & Koliouska, Christiana & Galariotis, Emilios & Zopounidis, Constantin, 2018. "Renewable energy sources: Using PROMETHEE II for ranking websites to support market opportunities," Technological Forecasting and Social Change, Elsevier, vol. 131(C), pages 31-37.
    7. Marron, Stephen T. & Tyurin, Eugene N. & Wile, John H. & Trader, George, 1997. "Everyone wins: renegotiating purchase power agreements," The Electricity Journal, Elsevier, vol. 10(3), pages 76-82, April.
    8. Ray, Manojit & Chakraborty, Basab, 2022. "Impact of demand flexibility and tiered resilience on solar photovoltaic adoption in humanitarian settlements," Renewable Energy, Elsevier, vol. 193(C), pages 895-912.
    9. Taghizadeh-Hesary, Farhad & Yoshino, Naoyuki & Rasoulinezhad, Ehsan & Rimaud, Cedric, 2021. "Power purchase agreements with incremental tariffs in local currency: An innovative green finance tool," Global Finance Journal, Elsevier, vol. 50(C).
    10. Wu, Yunna & Wang, Jing & Hu, Yong & Ke, Yiming & Li, Lingwenying, 2018. "An extended TODIM-PROMETHEE method for waste-to-energy plant site selection based on sustainability perspective," Energy, Elsevier, vol. 156(C), pages 1-16.
    11. Jain, Sourabh, 2022. "Exploring structures of power purchase agreements towards supplying 24x7 variable renewable electricity," Energy, Elsevier, vol. 244(PA).
    12. Bruck, Maira & Sandborn, Peter, 2021. "Pricing bundled renewable energy credits using a modified LCOE for power purchase agreements," Renewable Energy, Elsevier, vol. 170(C), pages 224-235.
    13. Silvia Angilella & Maria Rosaria Pappalardo, 2021. "Assessment of a failure prediction model in the energy sector: a multicriteria discrimination approach with Promethee based classification," Papers 2102.07656, arXiv.org.
    14. Haratian, Mojtaba & Tabibi, Pouya & Sadeghi, Meisam & Vaseghi, Babak & Poustdouz, Amin, 2018. "A renewable energy solution for stand-alone power generation: A case study of KhshU Site-Iran," Renewable Energy, Elsevier, vol. 125(C), pages 926-935.
    15. Gohdes, Nicholas & Simshauser, Paul & Wilson, Clevo, 2022. "Renewable entry costs, project finance and the role of revenue quality in Australia's National Electricity Market," Energy Economics, Elsevier, vol. 114(C).
    16. Setya Budi, Rizki Firmansyah & Sarjiya, & Hadi, Sasongko Pramono, 2022. "Indonesia's deregulated generation expansion planning model based on mixed strategy game theory model for determining the optimal power purchase agreement," Energy, Elsevier, vol. 260(C).
    17. Aryal, Sushil & Dhakal, Shobhakar, 2022. "Medium-term assessment of cross border trading potential of Nepal's renewable energy using TIMES energy system optimization platform," Energy Policy, Elsevier, vol. 168(C).
    18. Doumpos, Michael & Zopounidis, Constantin, 2011. "Preference disaggregation and statistical learning for multicriteria decision support: A review," European Journal of Operational Research, Elsevier, vol. 209(3), pages 203-214, March.
    19. Zacharoula Andreopoulou & Christiana Koliouska & Emilios C. C Galariotis & Constantin Zopounidis, 2018. "Renewable energy sources: Using PROMETHEE II for ranking websites to support market opportunities," Post-Print hal-02879860, HAL.
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    1. Marios Stanitsas & Konstantinos Kirytopoulos, 2024. "Navigating the Nexus: Stakeholder Engagement in Hybrid Renewable Energy Power Purchase Agreements (PPAs) for Sustainable Development," Sustainability, MDPI, vol. 16(17), pages 1-20, August.
    2. Stamatios K. Chrysikopoulos & Panos T. Chountalas & Dimitrios A. Georgakellos & Athanasios G. Lagodimos, 2024. "Decarbonization in the Oil and Gas Sector: The Role of Power Purchase Agreements and Renewable Energy Certificates," Sustainability, MDPI, vol. 16(15), pages 1-24, July.

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