Design and Global Sensitivity Analysis of a Power-to-Hydrogen-to-Power-Based Multi-Energy Microgrid Under Uncertainty

被引:0
作者
Elkadeem, Mohamed R. [1 ]
Kotb, Kotb M. [1 ]
Alzahrani, Atif S. [1 ,2 ]
Abido, Mohammad A. [1 ,3 ]
机构
[1] King Fahd Univ Petr & Minerals KFUPM, Interdisciplinary Res Ctr Sustainable Energy Syst, Dhahran 31261, Saudi Arabia
[2] King Fahd Univ Petr & Minerals KFUPM, Mat Sci & Engn Dept, Dhahran 31261, Saudi Arabia
[3] King Fahd Univ Petr & Minerals KFUPM, SDAIA KFUPM Joint Res Ctr Artificial Intelligence, Dhahran 31261, Saudi Arabia
关键词
Costs; Hydrogen; Boilers; Renewable energy sources; Thermal loading; Fuels; Uncertainty; Sensitivity analysis; Buildings; multi-energy microgrid; optimization; sensitivity analysis; uncertainty; urban building; OPTIMIZATION; SYSTEM; CAPACITY; NETWORK;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The integration of hydrogen and renewable technologies is increasingly recognized as essential for developing reliable and economically viable energy systems in modern cities. This paper presents an integrated model for the design optimization and global sensitivity analysis (GSA) of a power-to-hydrogen-to-power (P2H2P)-based multi-energy microgrid (ME mu G) considering generation and demand uncertainties. The proposed system is designed to fulfill the electricity, heating, and electric vehicle charging requirements of a hypothetical complex residential building. It incorporates photovoltaic, wind turbine, battery storage, fuel cell, electrolyzer, hydrogen storage, and a gas boiler. The P2H2P-ME mu G model was developed, simulated, and optimized with the dual objectives of minimizing the system's lifecycle cost and maximizing the share of renewable energy while considering various operational constraints. The obtained results enable optimal capacity sizing and provide a comprehensive evaluation of the beneficial impacts of the P2H2P system on the operational, economic, and environmental performance of the ME mu G, compared with alternative energy system configurations. Also, the GSA shows that the technology cost, load growth, and project lifetime have a substantial influence on investment decisions and system costs.
引用
收藏
页码:1811 / 1827
页数:17
相关论文
共 65 条
[1]   Feasibility of hydrogen hybrid energy systems for sustainable on- and off-grid integration: An Australian REZs case study [J].
Abdin, Zainul ;
Al Khafaf, Nameer ;
McGrath, Brendan .
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2024, 57 :1197-1207
[2]   Optimal Energy Management of Hydrogen Energy Facility Using Integrated Battery Energy Storage and Solar Photovoltaic Systems [J].
Abomazid, Abdulrahman M. ;
El-Taweel, Nader A. ;
Farag, Hany E. Z. .
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2022, 13 (03) :1457-1468
[3]   Hydrogen production via using excess electric energy of an off-grid hybrid solar/wind system based on a novel performance indicator [J].
Al-Buraiki, Abdulrahman S. ;
Al-Sharafi, Abdullah .
ENERGY CONVERSION AND MANAGEMENT, 2022, 254
[4]   Design Optimization of a Residential PV-Battery Microgrid With a Detailed Battery Lifetime Estimation Model [J].
Alramlawi, Mansour ;
Li, Pu .
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2020, 56 (02) :2020-2030
[5]   Microgrids Multiobjective Design Optimization for Critical Loads [J].
Alvarez, Jorge Alejandro May ;
Zurbriggen, Ignacio Galiano ;
Paz, Francisco ;
Ordonez, Martin .
IEEE TRANSACTIONS ON SMART GRID, 2023, 14 (01) :17-28
[6]   The role of power-to-gas in the integration of variable renewables [J].
Andrade, Carlos ;
Selosse, Sandrine ;
Maizi, Nadia .
APPLIED ENERGY, 2022, 313
[7]   Sensitivity Analysis for Levelized Cost of Electricity-LCOE with Multi-objective Optimization [J].
Arias-Cazco, Diego A. ;
Gavela, Ximena Patricia ;
Panchi, Luis Cruz ;
Izquierdo, Piero .
IEEE LATIN AMERICA TRANSACTIONS, 2022, 20 (08) :2071-2078
[8]   Techno-Economical Model Based Optimal Sizing of PV-Battery Systems for Microgrids [J].
Bandyopadhyay, Soumya ;
Mouli, Gaulham Ram Chandra ;
Qin, Zian ;
Elizondo, Laura Ramirez ;
Bauer, Pavol .
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2020, 11 (03) :1657-1668
[9]   Hybrid Microgrid Many-Objective Sizing Optimization With Fuzzy Decision [J].
Cao, Bin ;
Dong, Weinan ;
Lv, Zhihan ;
Gu, Yu ;
Singh, Surjit ;
Kumar, Pawan .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2020, 28 (11) :2702-2710
[10]   Optimal Design and Operation of a Low Carbon Community Based Multi-Energy Systems Considering EV Integration [J].
Cao, Jun ;
Crozier, Constance ;
McCulloch, Malcolm ;
Fan, Zhong .
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2019, 10 (03) :1217-1226