Peak Power Demand Reduction for Combined Manufacturing and HVAC System Considering Heat Transfer Characteristics

Abstract

The industrial sector is one of the main drivers in the continuously rising electricity demand in the United States. Electricity Demand Response is an effective demand side management tool for reducing power demand especially during peak periods. However, according to the Energy Information Administration (EIA), the actual peak load reduction by the industrial sector is much lower than its potential target. Within a typical industrial manufacturing plant, the two main energy consumers are the manufacturing system and the heating ventilation and air conditioning (HVAC) system. In this paper, we introduce a method to reduce the power demand during peak periods using an HVAC working load model that considers manufacturing heat sources. The effect of the manufacturing operation on the indoor temperature and the HVAC working load is quantified by considering the heat transfer characteristics of the machines in the manufacturing system. A mathematical model is formulated using mixed integer nonlinear programming (MINLP) and solved using General Algebraic Modeling (GAMS). An optimal schedule for the manufacturing operation and control scheme for the HVAC temperature setpoints that can minimize the power demand during peak periods under the constraint of production target is identified. A numerical case study is used to illustrate the effectiveness of the proposed method.

Department(s)

Engineering Management and Systems Engineering

Research Center/Lab(s)

Intelligent Systems Center

Keywords and Phrases

Combined Manufacturing And HVAC System; Electricity Demand Response; Peak Power Demand; Sustainable Manufacturing

International Standard Serial Number (ISSN)

0925-5273

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2016 Elsevier B.V., All rights reserved.

Publication Date

01 Jul 2016

Link to Full Text

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