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Novel thermal inlet load dynamic prediction and regulation and control method

A dynamic forecasting and thermal technology, applied in forecasting, data processing applications, instruments, etc., to achieve the effect of solving low precision, facilitating efficient operation, and meeting the thermal needs of users

Active Publication Date: 2022-05-31
TIANJIN UNIV +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The assumption is that the target room temperature is constant, there is no internal and external heat disturbance other than meteorological factors in the heating system, and the demand load is only related to meteorological factors, which has a large deviation from the actual phenomenon.

Method used

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  • Novel thermal inlet load dynamic prediction and regulation and control method
  • Novel thermal inlet load dynamic prediction and regulation and control method
  • Novel thermal inlet load dynamic prediction and regulation and control method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 5

[0213]

[0214] *90% sample

[0216]

[0220]

[0221] Table 7 embodiment 34# different calculation examples of thermal inlet load model (2020.11.18-2021.3.18, 117 days)

[0222]

[0223] Table 8 embodiment 14# different calculation examples of thermal inlet load models (2020.11.6-2021.3.18, 129 days)

[0224]

[0227] 2) Compared with the actual annual load, the relative deviation of the target value 1 (23°C in the heating season) is only 0.5%;

[0235] The actual room temperature of the 34# inlet and the 14# inlet fluctuates in the range of 4°C to 5°C. If the 34# inlet is in accordance with the target room temperature 23

[0238]

[0239]

[0240] Table 10 Thermal Inlet Loads for Different User Types (2021‑2022 Heating Season)

[0241]

[0244] 2) 5 thermal inlets, target 2 is compared with target 1, the room temperature is reduced by 1 °C, and the load is reduced compared to the actual value

[0247] 5) 30# and 27#, compared to the actual load, the target 2 load is reduced by 26...

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Abstract

The invention relates to a novel thermal inlet load dynamic prediction and control method, mechanism and data hybrid driving is adopted, target energy consumption accurate control is taken as a core, a steady-state heat transfer equation and a machine language are fused for modeling, and the method is simple and feasible, has self-learning, self-adaption and self-optimization-approaching capacities, is suitable for time-division, time-division and temperature-division accurate heat supply, and has a wide application prospect. The condition of user side oversupply can be effectively avoided; and in combination with adjustment of the heat source side of the energy center, efficient operation of the whole system is facilitated, on-demand heat supply is achieved when the time scale and the space scale are small enough as much as possible, and energy conservation and emission reduction are remarkably achieved while the heat requirement of a user is met.

Description

A new dynamic prediction and control method of thermal inlet load technical field The invention belongs to the field of heat supply operation regulation, and is specifically related to a novel thermal inlet load dynamic prediction and control method. Background technique [0002] In the northern regions of my country, central heating is the most common form of heating. Precise heating on demand is to ensure that users can supply Thermal comfort while achieving significant energy saving and emission reduction. Due to the large thermal inertia of the system, the building Thermal inertia, as well as the time-varying thermal mode of the user, lead to limited transient adjustment response capability of the system, and the actual heating process is There are varying degrees of mismatch between supply and demand and wasted energy. According to statistics, the heating area in northern my country exceeds 20 billion square meters, and the current average energy consumption p...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06
CPCG06Q10/04G06Q10/06313G06Q10/06315G06Q50/06
Inventor 杨俊红崔棉善刘德朝马睿杰王泽宇崔旭阳
Owner TIANJIN UNIV
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