Developing an economic net-zero energy infrastructure for the manufacturing industry can play a critical role to achieve the goal of affordable, reliable, and sustainable clean energy paradigm for the next generation. However, it is quite challenging to develop such an infrastructure due to the uncertain demand of the manufacturing system, intermittent electricity generation from the renewable sources, time of use (TOU) pricing of electricity, and integrated operational planning for the long-term planning horizon. In this paper, a mixed-integer non-linear programming (MINLP) model is developed to economically design an onsite microgrid system considering the critical conditions and achieve a net-zero energy operation planning for the manufacturing industry. A linearization strategy is adopted to obtain the optimal design of the microgrid and the utilization of the resources. A numerical case study is conducted to evaluate the effectiveness of the model.
Islam, Md Monirul, Mostafizur Rahman, Farzin Heidari, and Vinayaka Gude. 2021. “Optimal Onsite Microgrid Design for Net-Zero Energy Operation in Manufacturing Industry.” Procedia Computer Science, Big Data, IoT, and AI for a Smarter Future, 185 (January): 81–90. https://doi.org/10.1016/j.procs.2021.05.009.
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