Optimal Onsite Microgrid Design for Net-Zero Energy Operation in Manufacturing Industry

被引:1
作者
Islam, Md Monirul [1 ]
Rahman, Mostafizur [2 ]
Heidari, Farzin [1 ]
Gude, Vinayaka [3 ]
机构
[1] Texas A&M Univ Kingsville, Dept Ind Management & Technol, Kingsville, TX 78363 USA
[2] Univ Texas Rio Grande Valley, Dept Elect & Comp Engn, Edinburg, TX 78539 USA
[3] Louisiana State Univ, Dept Mass Commun, Shreveport, LA 71115 USA
来源
BIG DATA, IOT, AND AI FOR A SMARTER FUTURE | 2021年 / 185卷
关键词
manufacturing industry; onsite microgrid design; net-zero energy operation; MINLP; linearization; GENERATION SYSTEM; MANAGEMENT;
D O I
10.1016/j.procs.2021.05.009
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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. (c) 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the Complex Adaptive Systems Conference, June 2021.
引用
收藏
页码:81 / 90
页数:10
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