Cogeneration coupled heating load adjustment method based on heat load forecast of heating network

Abstract

The invention discloses a heat and power cogeneration coupling heat supply load adjustment method and system based on the heat load prediction of the heat network, belonging to the technical field of central heating, and the heat supply system includes a thermoelectric unit, a condenser, a cooling tower, and a heat network first station , absorption heat pump, heat network circulating water pump, electric control valve, Internet of Things flow meter, Internet of Things temperature instrument, Internet of Things pressure instrument and q A thermal station, q≥2, the present invention establishes a heat load prediction model of the heat network by comprehensively considering the influence of meteorological parameters, pipe network characteristics, building characteristics, and heat user characteristics, so as to realize accurate prediction of the heat load of the heat network, and combines The thermoelectric decoupling capability of the absorption heat pump, on the one hand, realizes the reasonable arrangement of the operating conditions of the thermoelectric unit, and achieves the efficient adjustment of the electricity and heat load of the unit on the heat source side; The user's heating demand has a high practical application value.

Description

technical field [0001] The invention relates to the technical field of central heating, in particular to a heat and power cogeneration coupled heating load adjustment method and system based on heat load prediction of a heating network. 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 power generatio...

AI Technical Summary

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 application numbers are 201510889154.5 and The prediction method announced by the patented technology of 201610415738.3 still has certain drawbacks

The patented technology with application number 201711498480.9 does not consider the change of the heating network load, but only adjusts the electric and thermal load matching adjustment of the heating system through the operation adjustment of the thermal power unit itself

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