A framework for analyzing city-wide impact of building-integrated renewable energy
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DOI: 10.1016/j.apenergy.2020.115489
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- Zhang, Sheng & Ocłoń, Paweł & Klemeš, Jiří Jaromír & Michorczyk, Piotr & Pielichowska, Kinga & Pielichowski, Krzysztof, 2022. "Renewable energy systems for building heating, cooling and electricity production with thermal energy storage," Renewable and Sustainable Energy Reviews, Elsevier, vol. 165(C).
- Chen, Yuzhu & Hu, Xiaojian & Xu, Wentao & Xu, Qiliang & Wang, Jun & Lund, Peter D., 2022. "Multi-objective optimization of a solar-driven trigeneration system considering power-to-heat storage and carbon tax," Energy, Elsevier, vol. 250(C).
- Dalia Štreimikienė & Vidas Lekavičius & Gintare Stankūnienė & Aušra Pažėraitė, 2022. "Renewable Energy Acceptance by Households: Evidence from Lithuania," Sustainability, MDPI, vol. 14(14), pages 1-17, July.
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Keywords
Urban energy; Building-integrated renewable energy; k-Means Clustering; Genetic Algorithm; Energy policy; CO2 reduction;All these keywords.
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