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Renewable Energy Communities as an Enabling Framework to Boost Flexibility and Promote the Energy Transition

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  • Daniela Proto

    (Department of Electrical Engineering and Information Technology, University of Naples Federico II, 80125 Naples, Italy)

Abstract

Undelayable environmental requirements and the energy crisis following the pandemic, further increased by international contingencies, have evidenced the need to push forward with the energy transition and intensify the use of renewable energy to satisfy energy needs, with more flexible, resilient, and sustainable energy being required [...]

Suggested Citation

  • Daniela Proto, 2022. "Renewable Energy Communities as an Enabling Framework to Boost Flexibility and Promote the Energy Transition," Energies, MDPI, vol. 15(23), pages 1-4, November.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:23:p:8874-:d:982761
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    References listed on IDEAS

    as
    1. Xinghua Liu & Shenghan Xie & Chen Geng & Jianning Yin & Gaoxi Xiao & Hui Cao, 2021. "Optimal Evolutionary Dispatch for Integrated Community Energy Systems Considering Uncertainties of Renewable Energy Sources and Internal Loads," Energies, MDPI, vol. 14(12), pages 1-16, June.
    2. Karunathilake, Hirushie & Hewage, Kasun & Mérida, Walter & Sadiq, Rehan, 2019. "Renewable energy selection for net-zero energy communities: Life cycle based decision making under uncertainty," Renewable Energy, Elsevier, vol. 130(C), pages 558-573.
    3. Zacharie De Grève & Jérémie Bottieau & David Vangulick & Aurélien Wautier & Pierre-David Dapoz & Adriano Arrigo & Jean-François Toubeau & François Vallée, 2020. "Machine Learning Techniques for Improving Self-Consumption in Renewable Energy Communities," Energies, MDPI, vol. 13(18), pages 1-17, September.
    4. Bernadette Fina & Hans Auer, 2020. "Economic Viability of Renewable Energy Communities under the Framework of the Renewable Energy Directive Transposed to Austrian Law," Energies, MDPI, vol. 13(21), pages 1-31, November.
    5. Cai, Qiran & Xu, Qingyang & Qing, Jing & Shi, Gang & Liang, Qiao-Mei, 2022. "Promoting wind and photovoltaics renewable energy integration through demand response: Dynamic pricing mechanism design and economic analysis for smart residential communities," Energy, Elsevier, vol. 261(PB).
    6. 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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