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Risk-constrained multi-period investment model for Distributed Energy Resources considering technology costs and regulatory uncertainties

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  • To, Thanh
  • Heleno, Miguel
  • Valenzuela, Alan

Abstract

One of the reasons for the emerging adoption of behind-the-meter distributed energy resources (DERs), particularly photovoltaic (PV) and storage, is the impressive decrease in technology costs over the last years together with favorable policy and regulatory environments that created early-stage incentives to the proliferation of these assets. However, when looking at the next decade, the evolution of the regulatory framework and the trajectory of technology costs are difficult to predict. This uncertainty poses a new challenge to prosumers and microgrid owners who are trying to find the best moment to invest in these DERs. In particular, unpredictable changes in the conditions of the investments may translate into economic risks to potential DER adopters, which raises the need for new risk-mitigation methods to support their investment decisions. To address this issue, this paper proposes a multi-period DER investment model with economic risk constraints, considering technology costs and regulatory uncertainties. A case study, involving a large building in California, is used to show that different types of economic risk constraints can affect not only the size, but also the optimal timing of these investments in a multi-year planning horizon with significant DER technology costs and regulatory uncertainties.

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  • To, Thanh & Heleno, Miguel & Valenzuela, Alan, 2022. "Risk-constrained multi-period investment model for Distributed Energy Resources considering technology costs and regulatory uncertainties," Applied Energy, Elsevier, vol. 319(C).
    • Handle: RePEc:eee:appene:v:319:y:2022:i:c:s030626192200575x
    DOI: 10.1016/j.apenergy.2022.119210
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    1. Siddiqui, Afzal S. & Maribu, Karl, 2009. "Investment and upgrade in distributed generation under uncertainty," Energy Economics, Elsevier, vol. 31(1), pages 25-37, January.
    2. Boampong, Richard & Brown, David P., 2020. "On the benefits of behind-the-meter rooftop solar and energy storage: The importance of retail rate design," Energy Economics, Elsevier, vol. 86(C).
    3. Darghouth, Naïm R. & Barbose, Galen & Wiser, Ryan H., 2014. "Customer-economics of residential photovoltaic systems (Part 1): The impact of high renewable energy penetrations on electricity bill savings with net metering," Energy Policy, Elsevier, vol. 67(C), pages 290-300.
    4. Mashayekh, Salman & Stadler, Michael & Cardoso, Gonçalo & Heleno, Miguel, 2017. "A mixed integer linear programming approach for optimal DER portfolio, sizing, and placement in multi-energy microgrids," Applied Energy, Elsevier, vol. 187(C), pages 154-168.
    5. Londo, Marc & Matton, Robin & Usmani, Omar & van Klaveren, Marieke & Tigchelaar, Casper & Brunsting, Suzanne, 2020. "Alternatives for current net metering policy for solar PV in the Netherlands: A comparison of impacts on business case and purchasing behaviour of private homeowners, and on governmental costs," Renewable Energy, Elsevier, vol. 147(P1), pages 903-915.
    6. Cardoso, Gonçalo & Brouhard, Thomas & DeForest, Nicholas & Wang, Dai & Heleno, Miguel & Kotzur, Leander, 2018. "Battery aging in multi-energy microgrid design using mixed integer linear programming," Applied Energy, Elsevier, vol. 231(C), pages 1059-1069.
    7. Bahramara, Salah & Sheikhahmadi, Pouria & Golpîra, Hêmin, 2019. "Co-optimization of energy and reserve in standalone micro-grid considering uncertainties," Energy, Elsevier, vol. 176(C), pages 792-804.
    8. Ramírez, F. Javier & Honrubia-Escribano, A. & Gómez-Lázaro, E. & Pham, Duc T., 2017. "Combining feed-in tariffs and net-metering schemes to balance development in adoption of photovoltaic energy: Comparative economic assessment and policy implications for European countries," Energy Policy, Elsevier, vol. 102(C), pages 440-452.
    9. Vinel, Alexander & Mortaz, Ebrahim, 2019. "Optimal pooling of renewable energy sources with a risk-averse approach: Implications for US energy portfolio," Energy Policy, Elsevier, vol. 132(C), pages 928-939.
    10. Inzunza, Andrés & Moreno, Rodrigo & Bernales, Alejandro & Rudnick, Hugh, 2016. "CVaR constrained planning of renewable generation with consideration of system inertial response, reserve services and demand participation," Energy Economics, Elsevier, vol. 59(C), pages 104-117.
    11. Fleten, S.-E. & Maribu, K.M. & Wangensteen, I., 2007. "Optimal investment strategies in decentralized renewable power generation under uncertainty," Energy, Elsevier, vol. 32(5), pages 803-815.
    12. Hemmati, Reza & Saboori, Hedayat & Siano, Pierluigi, 2017. "Coordinated short-term scheduling and long-term expansion planning in microgrids incorporating renewable energy resources and energy storage systems," Energy, Elsevier, vol. 134(C), pages 699-708.
    13. Dietrich, Andreas & Weber, Christoph, 2018. "What drives profitability of grid-connected residential PV storage systems? A closer look with focus on Germany," Energy Economics, Elsevier, vol. 74(C), pages 399-416.
    14. Jadidbonab, Mohammad & Babaei, Ebrahim & Mohammadi-ivatloo, Behnam, 2019. "CVaR-constrained scheduling strategy for smart multi carrier energy hub considering demand response and compressed air energy storage," Energy, Elsevier, vol. 174(C), pages 1238-1250.
    15. Darghouth, Naïm R. & Barbose, Galen & Wiser, Ryan, 2011. "The impact of rate design and net metering on the bill savings from distributed PV for residential customers in California," Energy Policy, Elsevier, vol. 39(9), pages 5243-5253, September.
    16. Maheshwari, Aditya & Heleno, Miguel & Ludkovski, Michael, 2020. "The effect of rate design on power distribution reliability considering adoption of distributed energy resources," Applied Energy, Elsevier, vol. 268(C).
    17. Gallego-Castillo, Cristobal & Heleno, Miguel & Victoria, Marta, 2021. "Self-consumption for energy communities in Spain: A regional analysis under the new legal framework," Energy Policy, Elsevier, vol. 150(C).
    18. Heleno, Miguel & Sehloff, David & Coelho, Antonio & Valenzuela, Alan, 2020. "Probabilistic impact of electricity tariffs on distribution grids considering adoption of solar and storage technologies," Applied Energy, Elsevier, vol. 279(C).
    19. Ossenbrink, Jan, 2017. "How feed-in remuneration design shapes residential PV prosumer paradigms," Energy Policy, Elsevier, vol. 108(C), pages 239-255.
    20. Rossi, Federico & Heleno, Miguel & Basosi, Riccardo & Sinicropi, Adalgisa, 2021. "LCA driven solar compensation mechanism for Renewable Energy Communities: the Italian case," Energy, Elsevier, vol. 235(C).
    21. Koumparou, Ioannis & Christoforidis, Georgios C. & Efthymiou, Venizelos & Papagiannis, Grigoris K. & Georghiou, George E., 2017. "Configuring residential PV net-metering policies – A focus on the Mediterranean region," Renewable Energy, Elsevier, vol. 113(C), pages 795-812.
    22. Rockafellar, R. Tyrrell & Uryasev, Stanislav, 2002. "Conditional value-at-risk for general loss distributions," Journal of Banking & Finance, Elsevier, vol. 26(7), pages 1443-1471, July.
    23. Cardoso, G. & Stadler, M. & Bozchalui, M.C. & Sharma, R. & Marnay, C. & Barbosa-Póvoa, A. & Ferrão, P., 2014. "Optimal investment and scheduling of distributed energy resources with uncertainty in electric vehicle driving schedules," Energy, Elsevier, vol. 64(C), pages 17-30.
    24. Schittekatte, Tim & Momber, Ilan & Meeus, Leonardo, 2018. "Future-proof tariff design: Recovering sunk grid costs in a world where consumers are pushing back," Energy Economics, Elsevier, vol. 70(C), pages 484-498.
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