An economic receding horizon optimization approach for energy management in the chlor-alkali process with hybrid renewable energy generation |
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| Affiliation: | 1. University of California Davis, Department of Chemical Engineering & Materials Science, One Shields Avenue, Davis, CA 95616, United States;2. RWTH Aachen University, Faculty of Mechanical Engineering, Templergraben 55, Aachen 52056, Germany;1. School of Environment and Safety Engineering, Qingdao University of Science & Technology, Qingdao 266042, China;2. School of Chemistry and Chemical Engineering, South China University of Technology, Guangzhou 510640, China;1. Department of Geology, Faculty of Engineering and Architecture, University of Cukurova, 01330 Adana Turkey;2. Department of Physics, Faculty of Sciences and Letters, University of Cukurova, 01330 Adana, Turkey |
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| Abstract: | This paper presents a methodology for the application of receding horizon optimization techniques to the problem of optimally managing the energy flows in the chlor-alkali process using a hybrid renewable energy system (HRES). The HRES consists of solar and wind energy generation units and fuel cells to supply energy. The HRES is also connected to the grid and allows for buying or selling electricity from and to the grid. Initially, detailed models of each system component are introduced as the basis for the simulation study. Energy management strategies are then developed to realize the objectives of meeting production requirements while minimizing the overall operating and environmental costs. Sensitivity and uncertainty analyses are carried out to elucidate the key parameters that influence the energy management strategies. Finally, production demand response is integrated into the proposed methodology. |
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| Keywords: | Hybrid renewable energy systems Chlor-alkali process Hydrogen Receding horizon Operational optimization |
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