Optimal coordination of hydrogen-based integrated energy systems with combination of hydrogen and water storage

被引:91
作者
Dong, Xiangxiang [1 ]
Wu, Jiang [1 ]
Xu, Zhanbo [1 ]
Liu, Kun [1 ]
Guan, Xiaohong [1 ,2 ]
机构
[1] Xi An Jiao Tong Univ, MOEKLINNS, Xian 710049, Peoples R China
[2] Tsinghua Univ, Dept Automat, CFINS, TNLIST, Beijing 100084, Peoples R China
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
Hydrogen-based multi-energy system; Energy storage; Demand side energy system; Coordination of integrated energy system; Stochastic optimization; MEMBRANE FUEL-CELL; COMBINED HEAT; RENEWABLE ENERGY; WIND POWER; MULTIOBJECTIVE OPTIMIZATION; MULTICRITERIA ASSESSMENT; PERFORMANCE ANALYSIS; UNCERTAINTY; MANAGEMENT; OPERATION;
D O I
10.1016/j.apenergy.2021.118274
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
With the rapid development of hydrogen production and storage technologies, it is possible to develop a hydrogen-based integrated energy system (HIES) in demand side, which brings fundamental changes in the structure of energy and power systems. It is very important to optimally coordinate the HIES with the combination of hydrogen and water storage, which can handle the energy imbalance between the multi-energy supply and demand, thus improve the energy efficiency and make full use of renewable supply. To address this coordination problem with uncertainties in renewable supply and demand, a stochastic optimization problem is formulated and solved by a scenario-based algorithm to determine the operation strategy of the system. The performance of the developed method is analyzed based on a building energy system. Numerical results show that through the coordination of the hydrogen and water storage, 80% of energy cost saving can be achieved, since the system capability in response to changes in the price of electricity could be significantly enhanced, and the utilization efficiency of renewable supply could achieve 100%. Moreover, energy cost saving and carbon emission reduction could be simultaneously obtained, except for the cases with high hydrogen prices in the typical summer day.
引用
收藏
页数:16
相关论文
共 52 条
[1]   Economic analysis and assessment of a standalone solar-hydrogen combined heat and power system integrated with solar-thermal collectors [J].
Assaf, Jihane ;
Shabani, Bahman .
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2016, 41 (41) :18389-18404
[2]   The price of robustness [J].
Bertsimas, D ;
Sim, M .
OPERATIONS RESEARCH, 2004, 52 (01) :35-53
[3]   Multi-objective optimization of a PEMFC based CCHP system by meta-heuristics [J].
Cao, Yan ;
Wu, Yujia ;
Fu, Leijie ;
Jermsittiparsert, Kittisak ;
Razmjooy, Navid .
ENERGY REPORTS, 2019, 5 :1551-1559
[4]   Proton exchange membrane fuel cell for cooperating households: A convenient combined heat and power solution for residential applications [J].
Cappa, Francesco ;
Facci, Andrea Luigi ;
Ubertini, Stefano .
ENERGY, 2015, 90 :1229-1238
[5]   Energy management strategy based on short-term generation scheduling for a renewable microgrid using a hydrogen storage system [J].
Cau, Giorgio ;
Cocco, Daniele ;
Petrollese, Mario ;
Kaer, Soren Knudsen ;
Milan, Christian .
ENERGY CONVERSION AND MANAGEMENT, 2014, 87 :820-831
[6]   Hydrogen value chain and fuel cells within hybrid renewable energy systems: Advanced operation and control strategies [J].
Chen, Scarlett ;
Kumar, Anikesh ;
Wong, Wee Chin ;
Chiu, Min-Sen ;
Wang, Xiaonan .
APPLIED ENERGY, 2019, 233 :321-337
[7]   Multi-criteria assessment and optimization study on 5 kW PEMFC based residential CCHP system [J].
Chen, Xi ;
Zhou, Haowei ;
Li, Wenbin ;
Yu, Zhengkun ;
Gong, Guangcai ;
Yan, Yongtao ;
Luo, Liang ;
Wan, Zhongmin ;
Ding, Yuejiao .
ENERGY CONVERSION AND MANAGEMENT, 2018, 160 :384-395
[8]   Optimal sizing of wind-hydrogen system considering hydrogen demand and trading modes [J].
Deng, Zhihong ;
Jiang, Yuewen .
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2020, 45 (20) :11527-11537
[9]   Decentralized computation method for robust operation of multi-area joint regional-district integrated energy systems with uncertain wind power [J].
Gan, Wei ;
Yan, Mingyu ;
Yao, Wei ;
Guo, Jianbo ;
Ai, Xiaomeng ;
Fang, Jiakun ;
Wen, Jinyu .
APPLIED ENERGY, 2021, 298
[10]   Cyber-physical model for efficient and secured operation of CPES or energy Internet [J].
Guan, Xiaohong ;
Xu, Zhanbo ;
Jia, Qing-Shan ;
Liu, Kun ;
Zhou, Yadong .
SCIENCE CHINA-INFORMATION SCIENCES, 2018, 61 (11)