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One piece of the puzzle towards 100 Positive Energy Districts (PEDs) across Europe by 2025: An open-source approach to unveil favourable locations of PV-based PEDs from a techno-economic perspective

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  • Bruck, Axel
  • Díaz Ruano, Santiago
  • Auer, Hans

Abstract

To reduce CO2 emissions, the European Commission aims at having 100 Positive Energy Districts (PEDs) planned, developed or established by 2025. A PED annually exports more energy than it imports from the local grid. Because of Europe's diversity, this study aims to indicate where in the EU and under which tariff circumstances an electrified PED will likely thrive most. To do so, the work uses a tailor-made, mixed-integer linear programming model to optimise electrified PED solutions and compare them to the respective status quo for various representative zone-tariff parameter combinations. Results indicate that the optimal potential for PEDs is in southern Europe, with a dynamic electricity tariff and where previously no district heating was used. Under those circumstances, the PED concept could save around 84% of carbon emissions, while being more economical over the project horizon. Pricing of CO2 emissions of energy services additionally nudges towards PED implementation. By limiting the power exchange of the PED with the grid, some of the negative grid impacts can be reduced. This study provides an essential insight into where in Europe a PED could be a sensible addition compared to where other decarbonisation approaches might be more beneficial.

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  • Bruck, Axel & Díaz Ruano, Santiago & Auer, Hans, 2022. "One piece of the puzzle towards 100 Positive Energy Districts (PEDs) across Europe by 2025: An open-source approach to unveil favourable locations of PV-based PEDs from a techno-economic perspective," Energy, Elsevier, vol. 254(PA).
  • Handle: RePEc:eee:energy:v:254:y:2022:i:pa:s0360544222010556
    DOI: 10.1016/j.energy.2022.124152
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    1. Shen, Pengyuan & Lior, Noam, 2016. "Vulnerability to climate change impacts of present renewable energy systems designed for achieving net-zero energy buildings," Energy, Elsevier, vol. 114(C), pages 1288-1305.
    2. Wang, Zhe & Hong, Tianzhen & Piette, Mary Ann, 2020. "Building thermal load prediction through shallow machine learning and deep learning," Applied Energy, Elsevier, vol. 263(C).
    3. Prina, Matteo Giacomo & Manzolini, Giampaolo & Moser, David & Nastasi, Benedetto & Sparber, Wolfram, 2020. "Classification and challenges of bottom-up energy system models - A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 129(C).
    4. Ma, Tengfei & Wu, Junyong & Hao, Liangliang & Lee, Wei-Jen & Yan, Huaguang & Li, Dezhi, 2018. "The optimal structure planning and energy management strategies of smart multi energy systems," Energy, Elsevier, vol. 160(C), pages 122-141.
    5. Andrea Gabaldón Moreno & Fredy Vélez & Beril Alpagut & Patxi Hernández & Cecilia Sanz Montalvillo, 2021. "How to Achieve Positive Energy Districts for Sustainable Cities: A Proposed Calculation Methodology," Sustainability, MDPI, vol. 13(2), pages 1-19, January.
    6. Yang, G. & Zhai, X.Q., 2019. "Optimal design and performance analysis of solar hybrid CCHP system considering influence of building type and climate condition," Energy, Elsevier, vol. 174(C), pages 647-663.
    7. Xiong, Tao & Li, Chongguang & Bao, Yukun, 2017. "Interval-valued time series forecasting using a novel hybrid HoltI and MSVR model," Economic Modelling, Elsevier, vol. 60(C), pages 11-23.
    8. Cosic, Armin & Stadler, Michael & Mansoor, Muhammad & Zellinger, Michael, 2021. "Mixed-integer linear programming based optimization strategies for renewable energy communities," Energy, Elsevier, vol. 237(C).
    9. Aste, Niccolò & Caputo, Paola & Del Pero, Claudio & Ferla, Giulio & Huerto-Cardenas, Harold Enrique & Leonforte, Fabrizio & Miglioli, Alessandro, 2020. "A renewable energy scenario for a new low carbon settlement in northern Italy: Biomass district heating coupled with heat pump and solar photovoltaic system," Energy, Elsevier, vol. 206(C).
    10. Dominković, Dominik Franjo & Stunjek, Goran & Blanco, Ignacio & Madsen, Henrik & Krajačić, Goran, 2020. "Technical, economic and environmental optimization of district heating expansion in an urban agglomeration," Energy, Elsevier, vol. 197(C).
    11. Bilir, Levent & Yildirim, Nurdan, 2018. "Modeling and performance analysis of a hybrid system for a residential application," Energy, Elsevier, vol. 163(C), pages 555-569.
    12. Li, Chong & Zhou, Dequn & Zheng, Yuan, 2018. "Techno-economic comparative study of grid-connected PV power systems in five climate zones, China," Energy, Elsevier, vol. 165(PB), pages 1352-1369.
    13. Broad, Oliver & Hawker, Graeme & Dodds, Paul E., 2020. "Decarbonising the UK residential sector: The dependence of national abatement on flexible and local views of the future," Energy Policy, Elsevier, vol. 140(C).
    14. Yang, Yuchen & Javanroodi, Kavan & Nik, Vahid M., 2021. "Climate change and energy performance of European residential building stocks – A comprehensive impact assessment using climate big data from the coordinated regional climate downscaling experiment," Applied Energy, Elsevier, vol. 298(C).
    15. Leibowicz, Benjamin D. & Lanham, Christopher M. & Brozynski, Max T. & Vázquez-Canteli, José R. & Castejón, Nicolás Castillo & Nagy, Zoltan, 2018. "Optimal decarbonization pathways for urban residential building energy services," Applied Energy, Elsevier, vol. 230(C), pages 1311-1325.
    16. Chen, Yi-kuang & Jensen, Ida Græsted & Kirkerud, Jon Gustav & Bolkesjø, Torjus Folsland, 2021. "Impact of fossil-free decentralized heating on northern European renewable energy deployment and the power system," Energy, Elsevier, vol. 219(C).
    17. Tomin, Nikita & Shakirov, Vladislav & Kozlov, Aleksander & Sidorov, Denis & Kurbatsky, Victor & Rehtanz, Christian & Lora, Electo E.S., 2022. "Design and optimal energy management of community microgrids with flexible renewable energy sources," Renewable Energy, Elsevier, vol. 183(C), pages 903-921.
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    1. Tomáš Hubinský & Roman Hajtmanek & Andrea Šeligová & Ján Legény & Robert Špaček, 2023. "Potentials and Limits of Photovoltaic Systems Integration in Historic Urban Structures: The Case Study of Monument Reserve in Bratislava, Slovakia," Sustainability, MDPI, vol. 15(3), pages 1-27, January.
    2. Sassenou, L.-N. & Olivieri, L. & Olivieri, F., 2024. "Challenges for positive energy districts deployment: A systematic review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).

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