Demand response scheduling under uncertainty: Chance‐constrained framework and application to an air separation unit-Reference-Cited by-同舟云学术

Demand response scheduling under uncertainty: Chance‐constrained framework and application to an air separation unit

Published:2020-07-16 Issue:9 Volume:66 Page:
ISSN:0001-1541
Container-title:AIChE Journal
language:en
Short-container-title:AIChE J

Author:

Kelley Morgan T.¹,Baldick Ross²,Baldea Michael¹^ORCID

Affiliation:

1. McKetta Department of Chemical Engineering The University of Texas at Austin Austin Texas USA

2. Department of Electrical and Computer Engineering The University of Texas at Austin Austin Texas USA

Funder

National Science Foundation

U.S. Department of Energy

Publisher

Wiley

Subject

General Chemical Engineering,Environmental Engineering,Biotechnology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/aic.16273

Reference54 articles.

1. CAISO. California Independent System Operator.2017.http://www.caiso.com/Pages/default.aspx

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

3. JohanssonT. Integrated Scheduling and control of Air Separation Unit Subject to Time‐Varying Electricity Price. [PhD thesis]. KTH Royal Institute of Technology Stockholm Sweden;2015.

4. US EPA. EPA: Overview Of Greenhouse Gases.2018. URLhttps://www.epa.gov/ghgemissions/overview-greenhouse-gases

5. GreenleeS GonzalesA. Summer Loads And Resources Assessment.2018.

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