Performance analysis of thermal energy storage in distributed energy system under different load profiles

2020 ◽  
Vol 208 ◽  
pp. 112596 ◽  
Author(s):  
Jiaqi Yuan ◽  
Chengliao Cui ◽  
Ziwei Xiao ◽  
Chong Zhang ◽  
Wenjie Gang
Keyword(s):  
Energy Storage ◽  
Performance Analysis ◽  
Thermal Energy ◽  
Thermal Energy Storage ◽  
Energy System ◽  
Distributed Energy ◽  
Distributed Energy System

scholarly journals Performance analysis of absorption thermal energy storage for distributed energy systems

2019 ◽  
Vol 158 ◽  
pp. 3152-3157 ◽  
Author(s):  
Lingshi Wang ◽  
Fu Xiao ◽  
Borui Cui ◽  
Maomao Hu ◽  
Tao Lu
Keyword(s):  
Energy Storage ◽  
Performance Analysis ◽  
Thermal Energy ◽  
Thermal Energy Storage ◽  
Energy Systems ◽  
Distributed Energy

Multi-Objective Design Optimization for Distributed Energy Systems With Energy Storage: A Case Study

2018 ◽  
Author(s):  
Jian Zhang ◽  
Heejin Cho ◽  
Hongguang Zhang ◽  
Fubin Yang
Keyword(s):  
Energy Storage ◽  
Thermal Energy ◽  
Energy Systems ◽  
Energy System ◽  
Research Trend ◽  
Optimal Size ◽  
Distributed Energy ◽  
Multi Objective ◽  
Distributed Energy System

As a promising approach for sustainable development, the distributed energy system receives increasing attention worldwide and has become a key topic explored by researchers in the areas of building energy systems and smart grid. In line with this research trend, this paper presents a case study of designing an integrated distributed energy system including photovoltaics (PV), combined cooling heating and power (CCHP) and electric and thermal energy storage for commercial buildings (i.e., a hospital and a large hotel). The subsystems are modeled individually and integrated based on a proposed control strategy to meet the electric and thermal energy demand of a building. A multi-objective particle swarm optimization (PSO) is performed to determine the optimal size of each subsystem with objectives to minimize carbon dioxide emissions and payback period. The results demonstrate that the proposed method can be effectively utilized to obtain an optimized design of distributed energy systems that can minimize environmental and economic impacts for different buildings.

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