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Impact of rooftop photovoltaics and centralized energy storage on the design and operation of a residential CHP system

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  • Ondeck, Abigail D.
  • Edgar, Thomas F.
  • Baldea, Michael

Abstract

With expected further increases in renewable generation, researchers have been investigating energy storage as a means to improve grid resiliency and harness renewable resources. Energy storage has the potential to both shift renewable generation in time and level peaks in demand.

Suggested Citation

  • Ondeck, Abigail D. & Edgar, Thomas F. & Baldea, Michael, 2018. "Impact of rooftop photovoltaics and centralized energy storage on the design and operation of a residential CHP system," Applied Energy, Elsevier, vol. 222(C), pages 280-299.
    • Handle: RePEc:eee:appene:v:222:y:2018:i:c:p:280-299
    DOI: 10.1016/j.apenergy.2018.03.131
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    2. Golmohamadi, Hessam & Larsen, Kim Guldstrand & Jensen, Peter Gjøl & Hasrat, Imran Riaz, 2022. "Integration of flexibility potentials of district heating systems into electricity markets: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
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    5. Kneiske, T.M. & Niedermeyer, F. & Boelling, C., 2019. "Testing a model predictive control algorithm for a PV-CHP hybrid system on a laboratory test-bench," Applied Energy, Elsevier, vol. 242(C), pages 121-137.
    6. Shu, Lei & Mo, Yunjeong & Zhao, Dong, 2024. "Energy retrofits for smart and connected communities: Scopes and technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(C).
    7. Federica Cucchiella & Idiano D’Adamo & Massimo Gastaldi & Vincenzo Stornelli, 2018. "Solar Photovoltaic Panels Combined with Energy Storage in a Residential Building: An Economic Analysis," Sustainability, MDPI, vol. 10(9), pages 1-29, August.
    8. Chen, Jing & Li, Fan & Li, Haoran & Sun, Bo & Zhang, Chenghui & Liu, Shuai, 2023. "Novel dynamic equivalent circuit model of integrated energy systems," Energy, Elsevier, vol. 262(PA).
    9. Pinto, Giuseppe & Deltetto, Davide & Capozzoli, Alfonso, 2021. "Data-driven district energy management with surrogate models and deep reinforcement learning," Applied Energy, Elsevier, vol. 304(C).
    10. Tingting Hou & Rengcun Fang & Jinrui Tang & Ganheng Ge & Dongjun Yang & Jianchao Liu & Wei Zhang, 2021. "A Novel Short-Term Residential Electric Load Forecasting Method Based on Adaptive Load Aggregation and Deep Learning Algorithms," Energies, MDPI, vol. 14(22), pages 1-21, November.
    11. Chen, Yuzhu & Wang, Jiangjiang & Ma, Chaofan & Gao, Yuefen, 2019. "Thermo-ecological cost assessment and optimization for a hybrid combined cooling, heating and power system coupled with compound parabolic concentrated-photovoltaic thermal solar collectors," Energy, Elsevier, vol. 176(C), pages 479-492.
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