NDLI: Optimal energy management in an industrial plant using on-site generation and demand scheduling

Content Provider	IEEE Xplore Digital Library
Author	Choobineh, M. Mohagheghi, S.
Copyright Year	2015
Description	Author affiliation: Electr. Eng. & Comput. Sci. Dept., Colorado Sch. of Mines, Golden, CO, USA (Choobineh, M.; Mohagheghi, S.)
Abstract	Fierce global competition and reduced profit margins are forcing many manufacturing plants to maximize their operational efficiency. This includes the consumption of energy across the plant as well as the inventory buildup. To reduce the cost of energy purchased from the electric utility, the plant operator may use the available on-site generation or reschedule the operation of one or more workstations so that the plant is less heavily operational during peak-load hours when the price of electricity is high. All this must be done while considering the interdependencies between various workstations as well as the target production level (and possible penalties in case it is not met). These factors turn the energy management problem into a constrained optimization one where the operational constraints of the workstations, the capacity limits of available energy resources, and the financial information are all taken into account. Developing such a solution is the focus of the current paper. A nonlinear mixed-integer optimization problem is formulated here that tries to optimize the performance of an industrial plant subject to the above operational and technical constraints. The problem is solved for two scenarios, when the reverse power injection by the plant is allowed and when it is not.
Starting Page	1
Ending Page	8
File Size	1154211
Page Count	8
File Format	PDF
e-ISBN	9781479983940
DOI	10.1109/IAS.2015.7356780
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-10-18
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Distributed energy management Power demand Distributed energy resources Factory automation Scheduling Demand response Industrial plants Demand scheduling Energy management Industrial plant operation Energy storage
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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