TY - GEN
T1 - Renewable Energy-Based Micro-Grid for Clean Electricity and Green Hydrogen Production
AU - Zaiter, Issa
AU - Mayyas, Ahmad
AU - Jaradat, Raed
N1 - Publisher Copyright:
© 2025 by SCITEPRESS – Science and Technology Publications, Lda.
PY - 2025
Y1 - 2025
N2 - The expected rise in hydrogen use offers a chance to speed up the decarbonization of the power generation sector. In this study, a linear programming optimization model is developed to determine the optimal technology capacity for a power and hydrogen production system driven by 100% renewable energy serving 25,000 capita with a total annual power demand of 532 GWh and an annual hydrogen demand of 5255 tons. The model aims to identify the optimal capacities of renewable energy sources and energy storage technologies to minimize system costs while meeting the demand for electricity and hydrogen. The results show the optimal system includes 59 MW of wind turbines, 630 MW of solar PV panels, 368 MW of polymer electrolyte membrane electrolyzer, 126 MW of proton exchange membrane fuel cells, 163 MW of lithium-ion batteries, and 111,000 m3 of hydrogen storage. The total annualized system cost is $182 million, with electricity priced at $0.29 per kWh and green hydrogen at $5 per kg. By integrating hydrogen production with renewable energybased power generation, It is concluded that a 100% renewable energy-driven system can meet the power and hydrogen demand for a sustainable community with the environmental benefit of zero carbon emissions, albeit with a higher price for a unit of power.
AB - The expected rise in hydrogen use offers a chance to speed up the decarbonization of the power generation sector. In this study, a linear programming optimization model is developed to determine the optimal technology capacity for a power and hydrogen production system driven by 100% renewable energy serving 25,000 capita with a total annual power demand of 532 GWh and an annual hydrogen demand of 5255 tons. The model aims to identify the optimal capacities of renewable energy sources and energy storage technologies to minimize system costs while meeting the demand for electricity and hydrogen. The results show the optimal system includes 59 MW of wind turbines, 630 MW of solar PV panels, 368 MW of polymer electrolyte membrane electrolyzer, 126 MW of proton exchange membrane fuel cells, 163 MW of lithium-ion batteries, and 111,000 m3 of hydrogen storage. The total annualized system cost is $182 million, with electricity priced at $0.29 per kWh and green hydrogen at $5 per kg. By integrating hydrogen production with renewable energybased power generation, It is concluded that a 100% renewable energy-driven system can meet the power and hydrogen demand for a sustainable community with the environmental benefit of zero carbon emissions, albeit with a higher price for a unit of power.
KW - Energy System Modeling
KW - Hydrogen Production
KW - Linear Programming Optimization
KW - Power Generation
KW - Sustainability
UR - https://www.scopus.com/pages/publications/105001921939
U2 - 10.5220/0013138400003893
DO - 10.5220/0013138400003893
M3 - Conference contribution
AN - SCOPUS:105001921939
SN - 9789897587320
T3 - International Conference on Operations Research and Enterprise Systems
SP - 239
EP - 245
BT - Proceedings of the 14th International Conference on Operations Research and Enterprise Systems
A2 - Schlosser, Rainer
A2 - Wesolkowski, Slawo
A2 - Parlier, Greg
T2 - 14th International Conference on Operations Research and Enterprise Systems, ICORES 2025
Y2 - 23 February 2025 through 25 February 2025
ER -