Research on Integrating the Operation of Chemical Processes with the Power Grid Receives DOE Funding

Dr. Michael Baldea and his grad students receive DOE Funding for grid researchResearch conducted in the McKetta Department of Chemical Engineering to optimize chemical plant operations and reduce demand on the power grid recently received $360K in funding from the Office of Electricity Delivery and Energy Reliability (OE) and the National Energy Technology Laboratory (NETL) within the United States Department of Energy.

The funded project, “Models and Strategies for Optimal Demand Side Management in the Chemical Industries”, is being led by Texas ChE Assistant Professor Michael Baldea in collaboration with Professor Ross Baldick from the Cockrell School’s Department of Electrical and Computer Engineering.

“This research will enable many types of chemical plants to operate in a way that reduces strain on the grid during peak times,” explained Professor Baldea. “The project will enhance grid operations by optimizing the production patterns of electricity-intensive chemical processes. Such processes can overproduce at off-peak times and reduce their production during peak grid demand hours, during which time chemical product customers can be supplied with material produced in the off-peak period. Think of it as a way to store energy in the form of marketable chemicals.”

The project will focus on chemical and petrochemical facilities in the Gulf Coast region of the United States, and on the interaction with the power system operated by the Electric Reliability Council of Texas.

“We’ll review plant operating data and create a modeling framework that will enable the safe and extensive utilization of demand response potential of chemical processes,” explained Baldea. “Concurrently, we’ll examine ways to enhance production scheduling, focusing on real-time execution, to optimize demand response.”

Demand response refers to ways residential, commercial and industrial consumers, such as chemical plants, can reduce their electricity usage at certain times of the day, specifically during peak hours, when grid demand is very high and difficult to meet using available generators.

“Many chemical processes, such as air separation, aluminum and chlor-alkali production are substantial grid loads, and developing optimization methods to encourage industry to participate in load shedding and/or load shifting activities could have significant benefits for the utilities that adopt these measures as well as for the industrial players themselves owing to the price incentives available,” said Baldea. The project will lead to generic tools and methodologies that are applicable to all manufacturing facilities in the chemical and petrochemical sector and can be extended to other industries. The researchers plan to disseminate the results both to academic researchers and to industry practitioners, the latter with the support of the Texas-Wisconsin-California Control Consortium.

The University of Texas at Austin was one of five universities to receive a total of $1.8 million in recent OE funding for fundamental research to address the risk and uncertainty of the power system. The investment is part of the U.S. Department of Energy’s Grid Modernization Initiative, a comprehensive effort to help shape the future of the nation’s grid and solve the challenges of integrating conventional and renewable sources with energy storage and smart buildings, while ensuring that the grid is resilient and secure to withstand growing cybersecurity and climate challenges.

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