期刊
COMPUTERS & CHEMICAL ENGINEERING
卷 38, 期 -, 页码 171-184出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compchemeng.2011.09.019
关键词
Production planning; Power-intensive systems; MILP models; Time-varying electricity prices; Air separation plants; Cement plants
资金
- Center for Advanced Process Decision-making (CAPD) at Carnegie Mellon University
- Praxair
- Div Of Chem, Bioeng, Env, & Transp Sys
- Directorate For Engineering [1159443] Funding Source: National Science Foundation
Power-intensive processes can lower operating expenses when adjusting production planning according to time-dependent electricity pricing schemes. In this paper, we describe a discrete-time, deterministic MILP model that allows optimal production planning for continuous power-intensive processes. We emphasize the systematic modeling of operational transitions, that result from switching the operating modes of the plant equipment, with logic constraints. We prove properties on the tightness of several logic constraints. For the time horizon of 1 week and hourly changing electricity prices, we solve an industrial case study on air separation plants, where transitional modes help us capture ramping behavior. We also solve problem instances on cement plants where we show that the appropriate choice of operating modes allows us to obtain practical schedules, while limiting the number of changeovers. Despite the large size of the MILPs, the required solution times are small due to the explicit modeling of transitions. (C) 2011 Elsevier Ltd. All rights reserved.
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