신재생 전력 생산의 수익성 극대화를 위한 수전해시스템 운영계획 최적화 모델 검증
Validation of the water electrolysis scheduling optimization model for maximizing profitability of renewable energy production
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This paper introduces a recent research result of a scheduling approach to maximize the profitability of alkaline water electrolysis (AWE) system powered by hybrid energy sources: solar power and grid electricity supply. It contains a nonlinear mixed integer programming model (NLMIP) for the short period hydrogen generation planning. This paper shows that the NLMIP model has a serious error and introduces a correction for the error.
Abstract
This paper introduces a recent research result of a scheduling approach to maximize the profitability of alkaline water electrolysis (AWE) system powered by hybrid energy sources: solar power and grid electricity supply. It contains a nonlinear mixed integer programming model (NLMIP) for the short period hydrogen generation planning. This paper shows that the NLMIP model has a serious error and introduces a correction for the error.
참고문헌 (4)
- Brauns, J., "Alkaline Water Electrolysis Powered by Renewable Energy: A Review", Process, 8, pp.248~ (2020)
- David, M., "Advances in Alkaline Water Electrolyzers: A Review", J. Energy Storage, 23, pp.392~403 (2019)
- Yang, Y., "The scheduling of alkaline water electrolysis for hydrogen production using hybrid energy sources", Energy Conversion and Management, 257, pp.115408~ (2022)
- Ulleberg, "Modeling of advanced alkaline electrolyzers: a system simulation approach", Int. J. Hydrogen Energy, 28, pp.21~33 (2003)