Smart design and control of thermal energy storage in low-temperature heating and high-temperature cooling systems: A comprehensive review

被引:44
作者
Behzadi, Amirmohammad [1 ]
Holmberg, Sture [1 ]
Duwig, Christophe [1 ]
Haghighat, Fariborz [2 ]
Ooka, Ryozo [3 ]
Sadrizadeh, Sasan [1 ,4 ]
机构
[1] KTH Royal Inst Technol, Sch Architecture & Built Environm, Stockholm, Sweden
[2] Concordia Univ, Dept Bldg Civil & Environm Engn, Montreal, PQ H3G1M8, Canada
[3] Univ Tokyo, Inst Ind Sci, 4-6-1,Komaba,Meguro Ku, Tokyo 1538505, Japan
[4] Malardalen Univ, Sch Business Soc & Engn, S-72123 Vasteras, Sweden
关键词
Thermal energy storage; High-temperature cooling; Low-temperature heating; Control approach; Control strategy; Optimization; Smart Energy system; PHASE-CHANGE MATERIAL; RULE-BASED CONTROL; ICE STORAGE; DYNAMIC SIMULATION; CONTROL STRATEGIES; PREDICTIVE CONTROL; SEASONAL STORAGE; NEURAL-NETWORK; HVAC SYSTEMS; PART II;
D O I
10.1016/j.rser.2022.112625
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Thermal energy storage (TES) is recognized as a well-established technology added to the smart energy systems to support the immediate increase in energy demand, flatten the rapid supply-side changes, and reduce energy costs through an efficient and sustainable integration. On the utilization side, low-temperature heating (LTH) and high-temperature cooling (HTC) systems have grown popular because of their excellent performance in terms of energy efficiency, cost-effectiveness, and ease of integration with renewable resources. This article presents the current state-of-the-art regarding the smart design of TES integrated with LTH and HTC systems. TES is first explained in basic concepts, classification, and design possibilities. Secondly, the literature on well-known existing control approaches, strategies, and optimization methods applied to thermal energy storage is reviewed. Thirdly, the specifications, types, benefits, and drawbacks of the LTH and HTC systems from the viewpoints of supply and demand sides are discussed. Fourthly, the smart design of TES integrated with the LTH and HTC systems based on the control approach/strategy, optimization method, building type, and energy supplier is investigated to find the newest technology, ideas, and features and detect the existing gaps. The present article will provide a realistically feasible solution for having a smart storage configuration with the maximum possible energy efficiency, reliability, and cost-effectiveness for the building owners and the energy suppliers.
引用
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页数:20
相关论文
共 171 条
[1]   Optimal PI controller based PSO optimization for PV inverter using SPWM techniques [J].
Abdolrasol, Maher G. M. ;
Hannan, M. A. ;
Hussain, S. M. Suhail ;
Ustun, Taha Selim .
ENERGY REPORTS, 2022, 8 :1003-1011
[2]  
Abdullat Y, 2013, Int J Therm Environ Eng, V5, P167
[3]   Soft computing analysis of a compressed air energy storage and SOFC system via different artificial neural network architecture and tri-objective grey wolf optimization [J].
Alirahmi, Seyed Mojtaba ;
Mousavi, Seyedeh Fateme ;
Ahmadi, Pouria ;
Arabkoohsar, Ahmad .
ENERGY, 2021, 236 (236)
[4]   Comprehensive assessment and multi-objective optimization of a green concept based on a combination of hydrogen and compressed air energy storage (CAES) systems [J].
Alirahmi, Seyed Mojtaba ;
Razmi, Amir Reza ;
Arabkoohsar, Ahmad .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2021, 142 (142)
[5]   An overview of thermal energy storage systems [J].
Alva, Guruprasad ;
Lin, Yaxue ;
Fang, Guiyin .
ENERGY, 2018, 144 :341-378
[6]  
Amarasinghe K, 2015, IEEE IND ELEC, P5421
[7]  
[Anonymous], 2007, Model predictive control
[8]  
[Anonymous], 2020, Global Energy CO2 Data
[9]   A highly innovative yet cost-effective multi-generation energy system for net-zero energy buildings [J].
Arabkoohsar, Ahmad ;
Behzadi, Amirmohammad ;
Nord, Natasa .
ENERGY CONVERSION AND MANAGEMENT, 2021, 237
[10]   Techno-economic analysis and multi-objective optimization of a novel solar-based building energy system; An effort to reach the true meaning of zero-energy buildings [J].
Arabkoohsar, Ahmad ;
Behzadi, Amirmohammad ;
Alsagri, Ali Sulaiman .
ENERGY CONVERSION AND MANAGEMENT, 2021, 232