District Heating System Optimisation: A Three-Phase Thermo-Hydraulic Linear Model

Author:

Pałka Piotr1ORCID,Malec Marcin2ORCID,Kaszyński Przemysław2ORCID,Kamiński Jacek2ORCID,Saługa Piotr3ORCID

Affiliation:

1. Faculty of Electronics and Information Technology, Warsaw University of Technology, Nowowiejska 15/19, 00-665 Warsaw, Poland

2. Mineral and Energy Economy Research Institute of the Polish Academy of Sciences, Wybickiego 7A, 31-261 Kraków, Poland

3. WSB Academy, Cieplaka 1C, 41-300 Dąbrowa Górnicza, Poland

Abstract

Investments in the development of the district heating system require a thorough analysis of the technical, economic, and legal aspects. Regarding the technical and economic context, a mathematical model of the district heating system has been proposed. It optimizes both the technical and economic aspects of the function and development of a district heating system. To deal with non-linearities, the developed linear programming model is divided into three phases: flow, thermal, and pressure. Therein, non-linear dependencies are calculated between the linear optimization phases. This paper presents the main assumptions and equations that were used to calculate the parameters of the heating system, along with the optimal level of heat production, the flow rate of the heating medium in the heat nodes and edges of the network graph, the heat, power, and temperature losses at each edge, and the purchase costs of heat and its transmission. The operation of the model was tested on a real-world district heating system. The case study results confirm that the model is effective and can be used in decision support. The economic results of the model, before the calibration process, were 3.6% different from historical values. After the calibration process, they were very similar to the real data—all percentage deviations were within 1%.

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction

Reference24 articles.

1. Central Statistical Office (2022, December 30). Energy Consumption in Households in 2018, Available online: https://stat.gov.pl/files/gfx/portalinformacyjny/en/defaultaktualnosci/3304/2/5/1/energy_consumption_in_households_in_2018.pdf.

2. Forum Energii (2022, December 30). Heating in Poland. Available online: https://www.forum-energii.eu/en/analizy/cieplownictwo-2019.

3. An adjoint optimization approach for the topological design of large-scale district heating networks based on nonlinear models;Blommaert;Appl. Energy,2020

4. Modelling and optimising the marginal expansion of an existing district heating network;Delangle;Energy,2017

5. Résimont, T., Louveaux, Q., and Dewallef, P. (2021). Optimization Tool for the Strategic Outline and Sizing of District Heating Networks Using a Geographic Information System. Energies, 14.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3