Combined heat and power generation heat supply load prediction method based on multi-factor influences and heat supply system

Abstract

The invention discloses a combined heat and power generation heat supply load prediction method based on multi-factor influences and a heat supply system, and belongs to the technical field of centralized heat supply. The heat supply system comprises a thermoelectric unit, a heat supply network initial station, a heat storage system, a heat supply network circulating water pump, a heat storage circulating pump, a heat release circulating pump, an electric adjusting valve, an Internet of Things flow meter, an Internet of Things temperature instrument, an Internet of Things pressure instrument and q heat supply stations, wherein q is larger than or equal to 2. According to the combined heat and power generation heat supply load prediction method based on the multi-factor influences and the heat supply system, influences of factors such as meteorological parameters, pipe network characteristics and building characteristics are comprehensively considered, so that a long-term heat load prediction model of a certain day in the future and a short-term heat load prediction model of real-time heat supply load adjustment are established, on one hand, the operation condition of a combined heat and power generation unit is reasonably arranged, and efficient adjustment of electric and heat loads of a heat source side unit is achieved; and on the other hand, accurate operation adjustment ofheat supply of the heat supply network side is achieved, and the heating requirements of heat users are effectively met, so that the problem of mismatching of electric and heat loads of the heat source side and the heat supply network side of the heat supply system is effectively solved, and accurate heat supply of the heat supply network side and efficient peak regulation of the heat source sideare achieved.

Description

technical field [0001] The invention relates to the technical field of centralized heating, in particular to a method for predicting heating load of combined heat and power generation based on the influence of multiple factors and a heating system. Background technique [0002] The central heating system is one of the city's infrastructure and one of the signs of the city's modernization level. The central heating industry is developing rapidly in my country. By the end of 2016, the area of ​​central heating in my country was about 7 billion square meters, of which the area of ​​central heating with combined heat and power generation was about 3.5 billion square meters. The high-quality development of the central heating system is directly related to the urban development. modernization and the improvement of people's living standards. For the cogeneration central heating system, it not only shoulders the heating demand on the heating network side, but also shoulders the pow...

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Problems solved by technology

But in general, the heating load is affected by the outdoor ambient temperature, ambient humidity, solar radiation, wind speed, indoor temperature, pipe network characteristics and building characteristics. According to Swedish scholars, the heat loss of the pipe network can increase the heat load by 5%. -8%, the wind speed can increase the heat load by 1%-4%. In addition, the comprehensive factors of the building (including building characteristics and indoor environmental factors) have a huge impact on the heat load. It can be seen that the above various prediction methods There are also certain disadvantages

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