Simulation-Based Optimization of Electricity Demand Response for Sustainable Manufacturing Systems

Abstract

Electricity demand response is considered a promising tool to balance the electricity demand and supply during peak periods. It can effectively reduce the cost of building and operating those peaking power generators that are only run a few hundred hours per year to satisfy the peak demand. The research on the electricity demand response implementation for residential and commercial building sectors has been very mature. Recently, it has also been extended to the manufacturing sector. In this paper, a simulation-based optimization method is developed to identify the optimal demand response decisions for the typical manufacturing systems with multiple machines and buffers. Different objectives, i.e. minimizing the power consumption under the constraint of system throughput, and maximize the overall earnings considering the tradeoff between power demand reduction and potential production loss, are considered. Different energy control decisions are analyzed and compared regarding the potential influence on the throughput of manufacturing system due to the different control actions adopted by throughput bottleneck machine.

Meeting Name

ASME 2014 International Manufacturing Science and Engineering Conference, MSEC 2014 (2014: Jun. 9-11, Detroit, MI)

Department(s)

Engineering Management and Systems Engineering

Keywords and Phrases

Simulation; Optimization; Sustainability; Manufacturing Systems

International Standard Book Number (ISBN)

978-079184580-6

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2014 American Society of Mechanical Engineers (ASME), All rights reserved.

Publication Date

01 Jun 2014

Link to Full Text

Share

 
COinS