Review on Advanced Storage Control Applied to Optimized Operation of Energy Systems for Buildings and Districts: Insights and Perspectives-Reference-Cited by-同舟云学术

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

Published:2024-07-09 Issue:14 Volume:17 Page:3371
ISSN:1996-1073
Container-title:Energies
language:en
Short-container-title:Energies

Author:

Ferrara Maria¹^ORCID,Bilardo Matteo¹^ORCID,Bogatu Dragos-Ioan²,Lee Doyun³,Khatibi Mahmood⁴^ORCID,Rahnama Samira⁴,Shinoda Jun²,Sun Ying⁵⁶,Sun Yongjun⁷^ORCID,Afshari Alireza⁴,Haghighat Fariborz⁶,Kazanci Ongun B.²^ORCID,Ooka Ryozo³,Fabrizio Enrico¹^ORCID

Affiliation:

1. Department of Energy, TEBE Research Group, Politecnico di Torino, 10129 Turin, Italy

2. International Centre for Indoor Environment and Energy—ICIEE, Department of Environmental and Resource Engineering, Technical University of Denmark, Kgs. Lyngby, 2800 Lyngby, Denmark

3. Institute of Industrial Science, University of Tokyo, Tokyo 153-8505, Japan

4. Department of the Built Environment, Aalborg University Copenhagen, 2450 København, Denmark

5. School of Environmental and Municipal Engineering, Qingdao University of Technology, Qingdao 266033, China

6. Energy and Environment Group, Department of Building, Civil and Environmental Engineering, Concordia University, Montreal, QC H3G 1M8, Canada

7. Department of Architecture and Civil Engineering, City University of Hong Kong, Kowloon, Hong Kong

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.

Funder

National Recovery and Resilience Plan

European Union—NextGenerationEU

Publisher

MDPI AG

Link

https://www.mdpi.com/1996-1073/17/14/3371/pdf

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