Multi-objective optimal sizing and design of renewable and diesel-based autonomous microgrids with hydrogen storage considering economic, environmental, and social uncertainties

被引:14
作者
Oyewole, Oladimeji [1 ]
Nwulu, Nnamdi [1 ]
Okampo, Ewaoche John [1 ]
机构
[1] Univ Johannesburg, Ctr Cyber Phys Food Energy & Water Syst CCP FEWS, POB 524,Auckland Pk, ZA-2006 Johannesburg, South Africa
关键词
ENERGY SYSTEM; TECHNOECONOMIC ANALYSIS; FUEL-CELL; OPTIMIZATION; WIND; ELECTRIFICATION; TECHNOLOGIES; BATTERY;
D O I
10.1016/j.renene.2024.120987
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The multifaceted nature of human society necessitates the consideration of various indicators when planning and designing energy systems. The success of energy systems is contingent on their ability to reliably meet demands while satisfying different objectives that align with societal needs. This paper presents the multi- objective optimal design and configuration of hydrogen-storage-based microgrids to reliably meet electric load demands in remote regions while considering economic, environmental and social uncertainties. A comprehensive Mixed Integer Linear Programming (MILP) was adopted to model the microgrid consisting of renewable energy systems (RES), hydrogen energy storage system (HESS), battery energy storage system (BESS), and diesel generator (DG). Advanced Interactive Multidimensional Modelling System (AIMMS) was used to perform the deterministic and robust optimisation with special consideration on cost-greenhouse emissions minisation and employment generation maximisation. This study further performs a comparative analysis between hydrogen-based microgrids and lithium-ion battery-based microgrids in terms of the key objectives. In overall performance, the configuration consisting of photovoltaic (PV), wind turbine (WT), fuel cell (FC), electrolyser (EL) and low-pressure tank (LPT) outplays the other configurations considered in terms of total job factor, levelised cost of electricity, renewable energy penetration factor, carbon emission reduction capability. Considering both deterministic and robust solutions of the configuration, the levelised cost of electricity ranges between 0.131 and 0.169 $/kWh, the total lifetime cost varies from $2,002,100 to $6,784,740, and the job provision factor ranges between 0.339 and 0.447. Nevertheless, there is a need for further reduction of the investment cost for its continued technological and market penetration. This is a good basis for the adoption of hydrogen-based storage systems with renewable energy systems.
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页数:17
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