Abstract
Today, integrating hydrogen and renewable technologies has become necessary to reach a reliable and economical energy system for modern cities. This paper introduces a design optimization and analysis model for a power-to-hydrogen-to-power (P2H2P)-based multi-energy microgrid (MEµG). The system is proposed to meet the power, heat, and residents-owned electric vehicle charging demands of the hypothetical apartment building in Saudi Arabia. The proposed system comprises a solar PV, wind turbine, battery, fuel cell, electrolyzer, hydrogen storage, and gas boiler. The P2H2P-MEµG was modelled, simulated, and optimized with an objective function to minimize the system lifecycle cost and maximize the renewable energy penetration, considering various system operation constraints. Numerical results enable the optimal capacity sizing and thorough investigation of the positive impacts of P2H2P on operational, economic, and environmental indices of the MEµG compared with other energy system alternatives.
| Original language | English |
|---|---|
| Title of host publication | 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781665471640 |
| DOIs | |
| State | Published - 2023 |
| Event | 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023 - Wollongong, Australia Duration: 3 Dec 2023 → 6 Dec 2023 |
Publication series
| Name | 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023 |
|---|
Conference
| Conference | 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023 |
|---|---|
| Country/Territory | Australia |
| City | Wollongong |
| Period | 3/12/23 → 6/12/23 |
Bibliographical note
Publisher Copyright:© 2023 IEEE.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Multi-energy microgrid
- electric vehicle
- optimization
- power-to-hydrogen-to-power
- urban building
ASJC Scopus subject areas
- Artificial Intelligence
- Energy Engineering and Power Technology
- Renewable Energy, Sustainability and the Environment
- Electrical and Electronic Engineering
- Control and Optimization
- Safety, Risk, Reliability and Quality
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