Designing a sustainable stochastic electricity generation network with hybrid production strategies |
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| Authors: | Vinay Gonela Dalila Salazar Jun Zhang Atif Osmani Iddrisu Awudu Barbara Altman |
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| Affiliation: | 1. College of Business Administration, Texas A &2. M University Central Texas, Killeen, TX, USA;3. Gordon &4. Jill Bourns School of Engineering, California Baptist University, Riverside, CA, USA;5. College of Business &6. Innovation, Minnesota State University Moorhead, Moorhead, MN, USA;7. School of Business, Quinnipiac University, Hamden, CT, USA |
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| Abstract: | This paper aims to design a sustainable stochastic electricity production network where fossil fuels-based, biomass-based, and co-firing-based production strategies are simultaneously considered in order to take advantage of all the three production strategies. A multi-objective stochastic mixed integer linear programming model is proposed to achieve economic feasibility, as well as environmental and social benefits under multiple uncertainties. The model is solved by using the improved augmented epsilon constraint method. A case study is used to illustrate the effectiveness of the proposed model. Pareto optimal analysis is conducted to understand the trade-off between economic, environmental, and social aspects of sustainability. |
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| Keywords: | Hybrid production strategy electricity generation network sustainability multi-objective stochastic mixed integer linear programming improved augmented –constraint method |
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