Method for determining consumer heat energy demand profile using heat consumption data from previous periods
2019
Selegovskis, R., Latvia Univ. of Life Sciences and Technologies, Jelgava (Latvia) | Berzins, J., Latvia Univ. of Life Sciences and Technologies, Jelgava (Latvia)
The European targets in energy sector are included in the program 20-20-20. It means that in 2020 the energy goals are to have 20 % reduction in greenhouse gas emissions compared to the 1990 levels, 20 % energy coming from renewable sources and 20 % increasing in energy efficiency. Thus, it is very important to optimize the operation of building heat supply systems to reach the mentioned goals, the third goal connected also to the first goal. Calculation of the demanded heat power of a building’s heating system at certain outdoor air temperature and certain time is essential for efficiency estimations, technical solutions and set-up of parameters in customers’ internal heating and supplier’s external heat supply systems. The heat power demand of a certain consumer is a combination of the power needed for premises heating, the power for hot domestic water (HDW) production and heat losses in the consumer’s internal system. Average heat power, which can be easily calculated from annual or monthly consumption data, does not describe the system precisely and there is not enough information for tuning the system’s parameters accordingly, thus additional calculations must be done. This paper describes a method of how to determine the consumers’ heat power demand profile using the data of consumed heat energy in previous periods and also gives the example of the power demand profile determined for the consumers connected to the central heating grid in Ozolnieki, Latvia. This method is useful for preliminary calculations and provides sufficient accuracy for power estimations. The overall result of accurate set-up of the systems’ parameters is decrease of heat losses in the heat supply grid, less emissions for heat production and also it has an economic effect.
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