Prediction method of cogeneration heating load and heating system based on multi-factor influence

Abstract

The invention discloses a method for predicting heat supply load of cogeneration based on multiple factors and a heat supply system, which belongs to the technical field of central heating. Water pumps, heat storage circulation pumps, heat release circulation pumps, electric control valves, IoT flowmeters, IoT temperature gauges, IoT pressure gauges and q a heating station, q ≥2, by comprehensively considering meteorological parameters, pipe network characteristics, building characteristics and other factors, a long-term heat load prediction model for a certain day in the future and a short-term heat load prediction model for real-time heating load adjustment are established, on the one hand, the rational arrangement of heat and power can be realized The operating conditions of the combined production unit realize the efficient adjustment of the electricity and heat load of the unit on the heat source side, and on the other hand, realize the precise operation and adjustment of the heat supply on the heat network side to effectively meet the heating needs of heat users, thereby effectively solving the heat source side of the heating system. It does not match the electricity and heat loads on the heating network side, achieving precise heating on the heating network side and efficient peak regulation on the heat source side.

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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