A machine learning approach to increase energy efficiency in district heating systems

Author(s):  
F Dalipi ◽  
S Yayilgan ◽  
A Gebremedhin
CIRP Annals ◽  
2020 ◽  
Vol 69 (1) ◽  
pp. 21-24
Author(s):  
Sebastian Thiede ◽  
Artem Turetskyy ◽  
Thomas Loellhoeffel ◽  
Arno Kwade ◽  
Sami Kara ◽  
...  

2020 ◽  
pp. 81-97
Author(s):  
O Shelimanova ◽  
◽  
A. Kolienko ◽  

Ensuring optimal hydraulic and thermal regimes in district heating systems (DHS) in the regulation of heat supply is an important factor in improving the energy and economic efficiency of DHS. In addition, high efficiency of the HS system is a factor that can ensure the preservation of its vital functions. Solving the problem of increasing the energy efficiency of the heat supply system is a complex problem that requires changes at all stages of heat transformation: in the energy source, heating networks and subscriber heating systems of heat consumers. The purpose of this study is to identify the impact of heat dissipation control processes in district heating systems on their energy and economic efficiency, provide recommendations for improving control processes taking into account modern challenges and regulatory requirements, analyze heat dissipation temperature schedules and select the optimal temperature schedule. It is shown that the optimal is the combined quantitative and qualitative regulation of heat release, which should be carried out both at the energy source and at consumers. The paper considers the possibility of using combined control systems in the existing district heating systems of Ukrainian cities. It is shown that the achievement of high energy efficiency is possible only with the introduction of automatic individual heating points with weather control and pressure drop regulators at the inlet to the buildings in the subscriber heating systems. Calculations of the amount of heat consumption reduction of centralized heat supply systems with the introduction of optimal control systems are performed.


Energies ◽  
2018 ◽  
Vol 12 (1) ◽  
pp. 113 ◽  
Author(s):  
Sara Månsson ◽  
Kristin Davidsson ◽  
Patrick Lauenburg ◽  
Marcus Thern

In order to develop more sustainable district heating systems, the district heating sector is currently trying to increase the energy efficiency of these systems. One way of doing so is to identify customer installations in the systems that have poor cooling performance. This study aimed to develop an algorithm that was able to detect the poorly performing installations automatically using meter readings from the installations. The algorithm was developed using statistical methods and was tested on a data set consisting of data from 3000 installations located in a district heating system in Sweden. As many as 1273 installations were identified by the algorithm as having poor cooling performance. This clearly shows that it is of major interest to the district heating companies to identify the installations with poor cooling performance rapidly and automatically, in order to rectify them as soon as possible.


2018 ◽  
Vol 149 ◽  
pp. 226-235 ◽  
Author(s):  
Sara Månsson ◽  
Per-Olof Johansson Kallioniemi ◽  
Kerstin Sernhed ◽  
Marcus Thern

Energies ◽  
2020 ◽  
Vol 13 (19) ◽  
pp. 5151 ◽  
Author(s):  
Ieva Pakere ◽  
Dace Lauka ◽  
Dagnija Blumberga

The main aim of this study is to evaluate the results achieved by implementation of different support policies in form of subsidies for energy efficiency improvements and transition to renewable energy sources. The article compares the energy efficiency measures in district heating systems with other support program. In order to assess the effectiveness of implementation of different renewable energy technologies and energy efficiency projects, the levelized costs of saved energy for different support programs were determined. Authors compared different co-financed projects related to replacement of fossil fuel energy sources in district heating (mainly to biomass) and the installation of new biomass boilers, heat pumps, solar collectors and other local technologies in municipal buildings. Results show that financial support for energy efficiency measures in industrial enterprises and district heating systems has been most cost-effective, mainly due to the low co-financing rate (30%) and the high potential for energy savings in different production processes. Authors have identified the blind-spots within the funding allocation for different municipalities, which is not always dedicated to achieved energy savings.


Energy ◽  
2019 ◽  
Vol 188 ◽  
pp. 116085 ◽  
Author(s):  
Puning Xue ◽  
Yi Jiang ◽  
Zhigang Zhou ◽  
Xin Chen ◽  
Xiumu Fang ◽  
...  

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