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Title: Demand Response for Thermal Fairness in District Heating Networks

Abstract

District Heating (DH) networks are complex thermal grids wherein a centrally heated fluid is circulated through a network of pipes and heat exchangers to meet the heating needs of residential and commercial buildings. Several factors can lead to inefficient and unfair energy distribution among consumers in these networks. These include varying levels of building insulation, distance of individual buildings from the central energy source, and thermal losses in network pipes. Moreover, shortage of energy at the central energy source and extreme weather conditions can exacerbate these issues, leading to differing levels of thermal comfort and customer disgruntlement in the long run. In this paper, we propose and study a demand response scheme that attempts to ensure thermal fairness among energy consumers in modern thermal grids. We develop optimization formulations based on thermodynamic models of DH networks, which determine optimal energy flow for individual buildings in order to achieve thermal fairness across the network. Our experimental results using physics based models for DH networks show that it is possible to achieve network level thermal fairness based social welfare objectives by controlling network parameters such as mass flow rates of water to the consumer premises and the supply water temperature, even whenmore » some network parameters like building thermal characteristics remain unknown.« less

Authors:
 [1];  [2];  [3];  [1]
  1. Rensselaer Polytechnic Institute
  2. BATTELLE (PACIFIC NW LAB)
  3. IBM Research India
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1510932
Report Number(s):
PNNL-SA-128979
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Journal Article
Journal Name:
IEEE Transactions on Sustainable Energy
Additional Journal Information:
Journal Volume: 10; Journal Issue: 2
Country of Publication:
United States
Language:
English

Citation Formats

Bhattacharya, Saptarshi, Chandan, Vikas, Arya, Vijay, and Kar, Koushik. Demand Response for Thermal Fairness in District Heating Networks. United States: N. p., 2019. Web. doi:10.1109/TSTE.2018.2852629.
Bhattacharya, Saptarshi, Chandan, Vikas, Arya, Vijay, & Kar, Koushik. Demand Response for Thermal Fairness in District Heating Networks. United States. doi:10.1109/TSTE.2018.2852629.
Bhattacharya, Saptarshi, Chandan, Vikas, Arya, Vijay, and Kar, Koushik. Mon . "Demand Response for Thermal Fairness in District Heating Networks". United States. doi:10.1109/TSTE.2018.2852629.
@article{osti_1510932,
title = {Demand Response for Thermal Fairness in District Heating Networks},
author = {Bhattacharya, Saptarshi and Chandan, Vikas and Arya, Vijay and Kar, Koushik},
abstractNote = {District Heating (DH) networks are complex thermal grids wherein a centrally heated fluid is circulated through a network of pipes and heat exchangers to meet the heating needs of residential and commercial buildings. Several factors can lead to inefficient and unfair energy distribution among consumers in these networks. These include varying levels of building insulation, distance of individual buildings from the central energy source, and thermal losses in network pipes. Moreover, shortage of energy at the central energy source and extreme weather conditions can exacerbate these issues, leading to differing levels of thermal comfort and customer disgruntlement in the long run. In this paper, we propose and study a demand response scheme that attempts to ensure thermal fairness among energy consumers in modern thermal grids. We develop optimization formulations based on thermodynamic models of DH networks, which determine optimal energy flow for individual buildings in order to achieve thermal fairness across the network. Our experimental results using physics based models for DH networks show that it is possible to achieve network level thermal fairness based social welfare objectives by controlling network parameters such as mass flow rates of water to the consumer premises and the supply water temperature, even when some network parameters like building thermal characteristics remain unknown.},
doi = {10.1109/TSTE.2018.2852629},
journal = {IEEE Transactions on Sustainable Energy},
number = 2,
volume = 10,
place = {United States},
year = {2019},
month = {4}
}