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Predicting method of thermal-adaptability-based winter indoor thermal comfortable temperature in severe cold area

A prediction method and adaptive technology, applied in heating methods, applications, household heating, etc., can solve the problems of inaccurate comfort temperature prediction and large heating energy consumption, and achieve a reasonable thermal comfort temperature range and reduced heating energy consumption. Effect

Active Publication Date: 2019-02-15
HARBIN INST OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to solve the inaccurate prediction of indoor comfortable temperature in winter in severe cold areas caused by the existing method of only performing adaptive thermal comfort evaluation on the entire heating period, and using the average value of thermal sensation votes in each temperature range during the evaluation. Problems of accuracy and high energy consumption for heating

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  • Predicting method of thermal-adaptability-based winter indoor thermal comfortable temperature in severe cold area
  • Predicting method of thermal-adaptability-based winter indoor thermal comfortable temperature in severe cold area
  • Predicting method of thermal-adaptability-based winter indoor thermal comfortable temperature in severe cold area

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specific Embodiment approach 1

[0018] Specific implementation mode one: as figure 1 As shown, the method for predicting indoor thermal comfort temperature in severe cold regions in winter based on thermal adaptability described in this embodiment, the method specifically includes the following steps:

[0019] Step 1. Collect the daily average outdoor air temperature during the heating season in severe cold areas;

[0020] Step 2: Divide the heating season into three stages: the early stage of heating, the middle stage of heating, and the end stage of heating according to the daily average outdoor temperature changes in the heating season;

[0021] Step 3. During the heating process, the indoor air temperature and the relative humidity of the indoor air are continuously monitored, and the indoor air velocity and the indoor black ball temperature are intermittently tested;

[0022] Step 4. According to the thermal response voting scale in the thermal comfort standard, conduct a subjective survey on the therm...

specific Embodiment approach 2

[0025] Specific implementation mode two: the difference between this implementation mode and specific implementation mode one is: the specific process of step two is:

[0026] According to the daily outdoor average temperature changes in the heating season, the heating season is divided into three stages: the early stage of heating, the middle stage of heating and the end stage of heating;

[0027] The outdoor daily average temperature of the sliding 5-day average is used as the division index;

[0028] If the 2 consecutive sliding 5-day averages on a certain day are all lower than 5°C, it will enter the initial heating period;

[0029] After entering the early stage of heating, if the average value of two consecutive sliding 5 days on a certain day is lower than -10°C, it will enter the middle stage of heating;

[0030] After entering the middle stage of heating, if the average value of 2 consecutive 5-day sliding on a certain day is not lower than -10 ℃, it is judged to ent...

specific Embodiment approach 3

[0031] Specific embodiment three: the difference between this embodiment and specific embodiment two is that in step three, the indoor air flow rate and the indoor black ball temperature are intermittently tested, and the specific method is: test the indoor air flow rate and the indoor For the temperature of the black ball, the test time for each indoor air flow rate is 3 to 5 minutes, and the test time for each indoor black ball temperature is 10 to 20 minutes.

[0032] The environmental parameters of the field test include indoor air temperature, relative humidity, air velocity, and black bulb temperature. Among them, the indoor temperature and humidity are continuously monitored. The continuous monitoring data acquisition module is placed in the room where the subjects often stay, and the temperature and humidity of the room are continuously recorded. Air velocity and black bulb temperature are tested intermittently. Every 2 to 3 weeks, the data acquisition module was arr...

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Abstract

The invention discloses a predicting method of thermal-adaptability-based winter indoor thermal comfortable temperature in a severe cold area and belongs to the field of energy saving and environmentprotection. Through the method, the problems that through existing methods, the adaptability thermal comfort evaluation of only the whole heating period is performed, the average value is obtained through thermal sensation vote of each temperature interval during evaluation, consequently prediction of the winter indoor comfortable temperature of the severe cold area is not accurate, and the heating energy consumption is high are solved. The whole heating season is divided into three stages for evaluation, and important reference can be provided for heating design and operation adjustment of the severe cold area. Compared with the existing methods, a adaptability thermal comfortable model adopts a weight analysis method, larger weight is given to higher temperature distribution frequency and more thermal sensation votes, the obtained indoor comfortable temperature predicted values of the different heating stages of the severe cold area in winter consider the human body thermal adaptability, and the heating energy consumption can be reduced by 10%. The predicting method can be applied to the field of energy saving and environment protection.

Description

technical field [0001] The invention belongs to the field of energy conservation and environmental protection, and in particular relates to a method for predicting indoor thermal comfort temperature in severe cold regions in winter. Background technique [0002] The winter in severe cold areas is long, and the heating period lasts for more than half a year. In severe cold areas, the outdoor temperature is low in winter and varies greatly. The average outdoor temperature during the heating period is generally -20-5°C, while the current design temperature for indoor heating is 18°C. At present, the room temperature of various buildings in severe cold areas is maintained at a certain value throughout the heating season, and the room temperature of some buildings is relatively high, which will lead to increased heating energy consumption and is not conducive to human thermal comfort and health. [0003] The thermoneutral temperature in winter in severe cold regions is close to ...

Claims

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Application Information

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IPC IPC(8): F24D19/10
CPCF24D19/10
Inventor 王昭俊吉玉辰
Owner HARBIN INST OF TECH
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