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Demand Response Operation of Electricity-Intensive Chemical Processes for Reduced Greenhouse Gas Emissions: Application to an Air Separation Unit

Journal Article · · ACS Sustainable Chemistry & Engineering
 [1];  [2];  [2]
  1. Univ. of Texas, Austin, TX (United States); The University of Texas at Austin
  2. Univ. of Texas, Austin, TX (United States)

A recent push for reduced greenhouse gas (GHG) emissions has led (in part) to the addition of renewable electricity generation sources to the power generation mix. Renewables such as wind and solar are desynchronized from grid demand, requiring the use of fossil fuels to bridge the gap. We propose a novel production scheduling formulation, emissions-minimizing production (EMP), which utilizes time-based information on the nature of the power generation mix to lower GHG emissions related to the transmission and generation of electricity for industrial users. We demonstrate the application of EMP on a single-column air separation unit. The scheduling problem is cast as a mixed integer linear program that can be solved in a practical amount of time. Extensive numerical studies are used to place EMP in the context of other production scheduling methods (such as demand response), and demonstrate its potential for significant reductions in GHG emissions.

Research Organization:
Univ. of Texas, Austin, TX (United States)
Sponsoring Organization:
USDOE Office of Electricity Delivery and Energy Reliability (OE); National Science Foundation (NSF)
Grant/Contract Number:
OE0000841; FG02-97ER25308
OSTI ID:
1615231
Journal Information:
ACS Sustainable Chemistry & Engineering, Journal Name: ACS Sustainable Chemistry & Engineering Journal Issue: 2 Vol. 7; ISSN 2168-0485
Publisher:
American Chemical Society (ACS)Copyright Statement
Country of Publication:
United States
Language:
English

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Cited By (3)

Power‐to‐X: Between Electricity Storage, e‐Production, and Demand Side Management journal January 2020
A multiperiod multiobjective framework for the synthesis of trigeneration systems in tertiary sector buildings journal November 2019
Power‐to‐X : Between Electricity Storage, e‐Production, and Demand Side Management text January 2019