Onsite generation system sizing for manufacturing plant considering renewable sources towards sustainability

被引：15

作者：

Islam, Md. Monirul ^{[1
]}

Sun, Zeyi ^{[1
]}

机构：

[1] Missouri Univ Sci & Technol, Dept Engn Management & Syst Engn, Rolla, MO 65409 USA

来源：

SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS | 2019年 / 32卷

关键词：

Sustainability; Onsite generation system; Renewable source; Manufacturing system; HVAC; Particle swarm optimization; BATTERY ENERGY-STORAGE; PARTICLE SWARM OPTIMIZATION; POWER-SYSTEM; REMOTE-AREA; WIND; SOLAR; MANAGEMENT; DESIGN; SIMULATION; MODEL;

D O I：

10.1016/j.seta.2019.01.004

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Onsite generation system with renewable sources for manufacturing plant is considered a critical alternative energy source that can improve the sustainability and resilience for manufacturers. The optimal sizing for all the components of the onsite generation system under the variations of the uncertain energy demand from manufacturing plant plays a critical role in achieving a cost-effective operational mode. In this paper, a Mixed Integer Non-Linear Programming optimization model is proposed for sizing the capacity of onsite generation system with renewable sources and battery energy storage system for the manufacturers considering the energy loads from both manufacturing system and HVAC system in a typical manufacturing plant. An integrated simulation model is used to capture the variations of the plant-level electricity demand including both manufacturing and HVAC systems so that it can be used as the input to the proposed optimization model. Both linearization and meta-heuristic solution strategies are discussed and compared when solving the proposed optimization model considering both solution quality and computational time. A case study employing the relevant data of a real auto component manufacturing plant as well as the data of the renewable sources in the Chicago area is implemented to illustrate the effectiveness of the proposed model.

引用

页码：1 / 18

页数：18

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