Calibration of Pipe Networks for District Heating using the Nonlinear Optimisation Method

2006 ◽  
Vol 7 (2) ◽  
Author(s):  
Danijela Dobersek ◽  
Darko Goricanec ◽  
Jurij Krope
Keyword(s):  
District Heating ◽  
Pipe Networks ◽  
Nonlinear Optimisation

scholarly journals Method of detection of district heating pipe network leakage using data monitoring of heat energy consumers

Vestnik IGEU ◽  
2021 ◽  
pp. 70-78
Author(s):  
S.V. Kosyakov ◽  
A.M. Sadykov ◽  
V.V. Sennikov ◽  
A.I. Tikhonov
Keyword(s):  
Information Systems ◽  
Boiler House ◽  
District Heating ◽  
Real Data ◽  
Pipe Network ◽  
Heat Network ◽  
Operating Modes ◽  
Pipe Networks ◽  
Heat Metering ◽  
Heating Networks

Currently, information systems to get data of metering devices are introduced to calculate the consumed thermal energy. The metering devices are installed at the thermal station of the consumers. However, the processing of these data is usually limited to the monthly data collection to calculate the payments and to monitor the output of the observed parameters beyond the established boundaries. The urgent issue is the possibility to use these data for the in-depth study of the processes, and, in particular, to detect district heating pipe network leakage. The authors have used both the methods and tools to model and analyze the operating modes of district heating pipe networks, methods to collect and monitor data of heat supply metering devices, methods to model district heating pipe networks in the geoinformation systems environment. The authors have proposed the method to detect the sections of the heat network where a heat medium leak has occurred. The difference of the method is the use only of the readings of the metering devices installed at consumers. The limitations of the application of the method and its implementation in geoinformation system environment are considered. An example is given to illustrate the possibility to detect the location of leakage based on the analysis of real data of the house heat metering devices collected during leakage and leakage elimination. Practical application of the developed method is discussed by the example of a real situation of leakage at the section of the heat network of the ISPU boiler house. The results obtained have confirmed the possibility to detect localization of leakage in heating networks based on the analysis of meter readings installed at consumers. The developed method can be applied in information systems to monitor the operating modes of district heating networks to search the places of accidents.

CONCEPTUAL POSITIONS OF MODERNIZATION OF EXISTING INEFFICIENT DISTRICT HEATING SYSTEMS

2017 ◽  
pp. 11-21
Author(s):  
Ye.Ye. Nikitin
Keyword(s):  
Energy Efficient ◽  
Mutual Influence ◽  
District Heating ◽  
Current Status ◽  
Cognitive Approach ◽  
Heating Systems ◽  
Energy Management Systems ◽  
Current State ◽  
Self Sufficiency ◽  
District Heating Systems

The current situation in the sphere of district heating is analysed on the basis of use of the cognitive approach. The presence of closed chains of cause-effect relationships of negative factors and conflicts of target settings of the subjects in the field of district heating is shown. The conceptual model of energy efficient modernization of district heating systems is proposed. This model includes indicators of the current status of heat sources, networks and heat consumers, energetic and economic models, restrictions, procedure of forming and analysis of the mutual influence of the recommended projects. The quantitative data on indicators of the current state of district heating systems of the cities of Ukraine are presented. The interrelation between indicators of the current state and projects of energy efficient modernization of district heating systems is shown. Assessment of energy self-sufficiency of municipal district heating systems on condition of thermal modernization of buildings is carried out. The creation of energy management systems at the district heating enterprises is proposed. Bib. 6, Fig. 7, Tab. 5.

Sign in / Sign up

Export Citation Format

Share Document