Automated electrical demand peak leveling in a manufacturing facility with short term energy storage for smart grid participation

Machalek, Derek; Powell, Kody

doi:10.1016/j.jmsy.2019.06.001

Title: Automated electrical demand peak leveling in a manufacturing facility with short term energy storage for smart grid participation

Journal Article · Thu Jun 20 00:00:00 EDT 2019 · Journal of Manufacturing Systems

DOI:https://doi.org/10.1016/j.jmsy.2019.06.001· OSTI ID:1867011

Machalek, Derek ^[1]; Powell, Kody ^[1]

Univ. of Utah, Salt Lake City, UT (United States)

Demand side management of energy is a vital function in the smart grid that allows for greater integration of renewable energy resources, and is facilitated with economic incentives in energy and demand pricing schedules. Manufacturing systems can take advantage of these incentives to reduce their energy costs through active energy management. This paper is a simulation analysis on the implementation of a novel algorithm that levelizes the maximum power load of an industrial bakery that operates under an on-peak demand price structure. The algorithm takes advantage of an untapped thermal energy storage resource in the facility, a chilled glycol buffer tank, to level the short intra-day power oscillations that the facility experiences. One of the key advantages of the algorithm is that it does not require precise demand forecasting or complex control algorithms, such as model predictive control. Even with substantial error in peak power estimates (5%), the algorithm is expected to result in at least a 2% peak reduction. Under ideal prediction, the algorithm reduces the on-peak facility power maximum by 7.3% of the possible 9.0% reduction the storage can provide. Further, the algorithm uses very few facility specific inputs, and can readily be adapted for any facility with short intra-day oscillatory power profiles and untapped storage capacity. The key insight of the paper is the employment of a novel algorithm to leverage untapped energy storage in manufacturing facilities to transform them into smart grid participants with no major capital investment.

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Research Organization:: Univ. of Utah, Salt Lake City, UT (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE)

Grant/Contract Number:: EE0007712

OSTI ID:: 1867011

Alternate ID(s):: OSTI ID: 2325178

Journal Information:: Journal of Manufacturing Systems, Vol. 52; ISSN 0278-6125

Publisher:: Elsevier - Society of Manufacturing EngineersCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 13 works

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Title: Automated electrical demand peak leveling in a manufacturing facility with short term energy storage for smart grid participation

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