Review on Advanced Storage Control Applied to Optimized Operation of Energy Systems for Buildings and Districts: Insights and Perspectives

Maria Ferrara, Matteo Bilardo, Dragos-Ioan Bogatu, Doyun Lee, Mahmood Khatibi, Samira Rahnama, Jun Shinoda, Ying Sun, Yongjun Sun, Alireza Afshari, Fariborz Haghighat, Ongun B. Kazanci, Ryozo Ooka and Enrico Fabrizio ()
Additional contact information
Maria Ferrara: Department of Energy, TEBE Research Group, Politecnico di Torino, 10129 Turin, Italy
Matteo Bilardo: Department of Energy, TEBE Research Group, Politecnico di Torino, 10129 Turin, Italy
Dragos-Ioan Bogatu: International Centre for Indoor Environment and Energy—ICIEE, Department of Environmental and Resource Engineering, Technical University of Denmark, Kgs. Lyngby, 2800 Lyngby, Denmark
Doyun Lee: Institute of Industrial Science, University of Tokyo, Tokyo 153-8505, Japan
Mahmood Khatibi: Department of the Built Environment, Aalborg University Copenhagen, 2450 København, Denmark
Samira Rahnama: Department of the Built Environment, Aalborg University Copenhagen, 2450 København, Denmark
Jun Shinoda: International Centre for Indoor Environment and Energy—ICIEE, Department of Environmental and Resource Engineering, Technical University of Denmark, Kgs. Lyngby, 2800 Lyngby, Denmark
Ying Sun: School of Environmental and Municipal Engineering, Qingdao University of Technology, Qingdao 266033, China
Yongjun Sun: Department of Architecture and Civil Engineering, City University of Hong Kong, Kowloon, Hong Kong
Alireza Afshari: Department of the Built Environment, Aalborg University Copenhagen, 2450 København, Denmark
Fariborz Haghighat: Energy and Environment Group, Department of Building, Civil and Environmental Engineering, Concordia University, Montreal, QC H3G 1M8, Canada
Ongun B. Kazanci: International Centre for Indoor Environment and Energy—ICIEE, Department of Environmental and Resource Engineering, Technical University of Denmark, Kgs. Lyngby, 2800 Lyngby, Denmark
Ryozo Ooka: Institute of Industrial Science, University of Tokyo, Tokyo 153-8505, Japan
Enrico Fabrizio: Department of Energy, TEBE Research Group, Politecnico di Torino, 10129 Turin, Italy

Energies, 2024, vol. 17, issue 14, 1-26

Abstract: In the context of increasing energy demands and the integration of renewable energy sources, this review focuses on recent advancements in energy storage control strategies from 2016 to the present, evaluating both experimental and simulation studies at component, system, building, and district scales. Out of 426 papers screened, 147 were assessed for eligibility, with 56 included in the final review. As a first outcome, this work proposes a novel classification and taxonomy update for advanced storage control systems, aiming to bridge the gap between theoretical research and practical implementation. Furthermore, the study emphasizes experimental case studies, moving beyond numerical analyses to provide practical insights. It investigates how the literature on energy storage is enhancing building flexibility and resilience, highlighting the application of advanced algorithms and artificial intelligence methods and their impact on energy and financial savings. By exploring the correlation between control algorithms and the resulting benefits, this review provides a comprehensive analysis of the current state and future perspectives of energy storage control in smart grids and buildings.

Keywords: thermal storage; energy storage; electric storage; model predictive control; artificial intelligence (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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