An MILP framework for optimizing demand response operation of air separation units

Kelley, Morgan T.; Pattison, Richard C.; Baldick, Ross; Baldea, Michael

doi:10.1016/j.apenergy.2017.12.127

An MILP framework for optimizing demand response operation of air separation units

Journal Article · Wed May 09 00:00:00 EDT 2018 · Applied Energy

DOI:https://doi.org/10.1016/j.apenergy.2017.12.127· OSTI ID:1605934

Kelley, Morgan T. ^[1]; Pattison, Richard C. ^[2]; ^[2]; ^[2]

Univ. of Texas, Austin, TX (United States); The University of Texas at Austin
Univ. of Texas, Austin, TX (United States)

Renewable electricity generation and consumer demand are desynchronized in time, posing a challenge for grid operators. Industrial demand response (DR), has emerged as a strong candidate for mitigating demand variability. In this paper, we demonstrate the application of DR to an air separation unit (ASU), a chemical process that consumes significant amounts of electricity. We develop a novel optimal production scheduling framework that accounts for day-ahead electricity prices to modulate the grid load presented by the plant. Our framework accounts for the dynamics of the plant using a novel dynamic modeling framework. Further, we present a new decomposition scheme that allows us to solve the corresponding optimization problem in a matter of minutes. Extensive simulation results show significant reductions in operating costs (that benefit the plant) and reductions in peak power demand (which benefits the grid).

View Accepted Manuscript (DOE)

Research Organization:: Univ. of Texas at Austin, TX (United States); Univ. of Texas, Austin, TX (United States)

Sponsoring Organization:: National Science Foundation (NSF); USDOE; USDOE Office of Electricity Delivery and Energy Reliability (OE)

Grant/Contract Number:: OE0000841

OSTI ID:: 1605934

Alternate ID(s):: OSTI ID: 1872912
OSTI ID: 1692214
OSTI ID: 23066513

Journal Information:: Applied Energy, Journal Name: Applied Energy Journal Issue: C Vol. 222; ISSN 0306-2619

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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