Abstract
This paper offers a comprehensive techno-economic design optimization assisted with multi-aspect (techno-enviro-economic) analysis of Grid-connected Green Hydrogen Hubs (GHHs) across three strategically designated spots in Saudi Arabia: Jubail, Tabuk, and Abha. The study explores the integration of solar and wind energies to energize a set of electrolyzers (ELZ) for hydrogen production and storage. A multi-aspect-based techno-enviro-economic optimization model is applied to minimize system costs and emissions, and maximize its resilience and energy efficiency. Also, the model evaluates the impacts of the newly-launched power purchase agreement (PPA) that allows surplus electricity to be exported to the Saudi utility grid through net-energy metering (NEM). The economic outcomes highlighted Jubail as the optimal hub with the least net present cost of $15.3M, energy cost of 0.0245 $/kWh, and a promising hydrogen cost of 2.41 $/kg, with a payback period of 9.8 years. The NEM scheme earns $14.25M annually from grid exports, achieving a 97% GHGE reduction against the grid-only baseline. Also, energy scheduling validates a superior-balanced and resilient behavior with no capacity shortage and unmet electrical and hydrogen loads.
| Original language | English |
|---|---|
| Title of host publication | IEEE Conference on Power Electronics and Renewable Energy, CPERE 2025 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798331567330 |
| DOIs | |
| State | Published - 2025 |
Publication series
| Name | IEEE Conference on Power Electronics and Renewable Energy, CPERE 2025 |
|---|
Bibliographical note
Publisher Copyright:©2025 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
- Cost of hydrogen
- Green hydrogen
- Net energy metering
- Techno-enviroeconomic analysis
- optimization
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Renewable Energy, Sustainability and the Environment
- Electrical and Electronic Engineering
- Control and Optimization
- Transportation
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