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Title: Thermal energy storage to minimize cost and improve efficiency of a polygeneration district energy system in a real-time electricity market

Abstract

District energy systems can produce low-cost utilities for large energy networks, but can also be a resource for the electric grid by their ability to ramp production or to store thermal energy by responding to real-time market signals. In this work, dynamic optimization exploits the flexibility of thermal energy storage by determining optimal times to store and extract excess energy. This concept is applied to a polygeneration distributed energy system with combined heat and power, district heating, district cooling, and chilled water thermal energy storage. The system is a university campus responsible for meeting the energy needs of tens of thousands of people. The objective for the dynamic optimization problem is to minimize cost over a 24-h period while meeting multiple loads in real time. The paper presents a novel algorithm to solve this dynamic optimization problem with energy storage by decomposing the problem into multiple static mixed-integer nonlinear programming (MINLP) problems. Another innovative feature of this work is the study of a large, complex energy network which includes the interrelations of a wide variety of energy technologies. Results indicate that a cost savings of 16.5% is realized when the system can participate in the wholesale electricity market.

Authors:
ORCiD logo [1];  [2];  [3];  [4];  [5];  [6];  [7]
  1. Univ. of Utah, Salt Lake City, UT (United States). Dept. of Chemical Engineering
  2. Idaho National Lab. (INL), Idaho Falls, ID (United States)
  3. National Renewable Energy Lab. (NREL), Golden, CO (United States)
  4. NXP Semiconductors, Austin, TX (United States)
  5. ExxonMobil, Houston, TX (United States)
  6. Brigham Young Univ., Provo, UT (United States). Dept. of Chemical Engineering
  7. Univ. of Texas, Austin, TX (United States)
Publication Date:
Research Org.:
Idaho National Lab. (INL), Idaho Falls, ID (United States)
Sponsoring Org.:
USDOE; Univ. of Texas Office of Sustainability
OSTI Identifier:
1469807
Report Number(s):
INL/JOU-16-39854-Rev000
Journal ID: ISSN 0360-5442
Grant/Contract Number:  
AC07-05ID14517
Resource Type:
Accepted Manuscript
Journal Name:
Energy (Oxford)
Additional Journal Information:
Journal Name: Energy (Oxford); Journal Volume: 113; Journal Issue: C; Journal ID: ISSN 0360-5442
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; Polygeneration; Thermal energy storage; Combined heat and power; Dynamic optimization; District energy systems

Citation Formats

Powell, Kody M., Kim, Jong Suk, Cole, Wesley J., Kapoor, Kriti, Mojica, Jose L., Hedengren, John D., and Edgar, Thomas F. Thermal energy storage to minimize cost and improve efficiency of a polygeneration district energy system in a real-time electricity market. United States: N. p., 2016. Web. doi:10.1016/j.energy.2016.07.009.
Powell, Kody M., Kim, Jong Suk, Cole, Wesley J., Kapoor, Kriti, Mojica, Jose L., Hedengren, John D., & Edgar, Thomas F. Thermal energy storage to minimize cost and improve efficiency of a polygeneration district energy system in a real-time electricity market. United States. doi:10.1016/j.energy.2016.07.009.
Powell, Kody M., Kim, Jong Suk, Cole, Wesley J., Kapoor, Kriti, Mojica, Jose L., Hedengren, John D., and Edgar, Thomas F. Sat . "Thermal energy storage to minimize cost and improve efficiency of a polygeneration district energy system in a real-time electricity market". United States. doi:10.1016/j.energy.2016.07.009. https://www.osti.gov/servlets/purl/1469807.
@article{osti_1469807,
title = {Thermal energy storage to minimize cost and improve efficiency of a polygeneration district energy system in a real-time electricity market},
author = {Powell, Kody M. and Kim, Jong Suk and Cole, Wesley J. and Kapoor, Kriti and Mojica, Jose L. and Hedengren, John D. and Edgar, Thomas F.},
abstractNote = {District energy systems can produce low-cost utilities for large energy networks, but can also be a resource for the electric grid by their ability to ramp production or to store thermal energy by responding to real-time market signals. In this work, dynamic optimization exploits the flexibility of thermal energy storage by determining optimal times to store and extract excess energy. This concept is applied to a polygeneration distributed energy system with combined heat and power, district heating, district cooling, and chilled water thermal energy storage. The system is a university campus responsible for meeting the energy needs of tens of thousands of people. The objective for the dynamic optimization problem is to minimize cost over a 24-h period while meeting multiple loads in real time. The paper presents a novel algorithm to solve this dynamic optimization problem with energy storage by decomposing the problem into multiple static mixed-integer nonlinear programming (MINLP) problems. Another innovative feature of this work is the study of a large, complex energy network which includes the interrelations of a wide variety of energy technologies. Results indicate that a cost savings of 16.5% is realized when the system can participate in the wholesale electricity market.},
doi = {10.1016/j.energy.2016.07.009},
journal = {Energy (Oxford)},
number = C,
volume = 113,
place = {United States},
year = {2016},
month = {7}
}

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Works referencing / citing this record:

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