scholarly journals Electric Heating Load Forecasting Method Based on Improved Thermal Comfort Model and LSTM

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4525
Author(s):  
Jie Sun ◽  
Jiao Wang ◽  
Yonghui Sun ◽  
Mingxin Xu ◽  
Yong Shi ◽  
...  

The accuracy of the electric heating load forecast in a new load has a close relationship with the safety and stability of distribution network in normal operation. It also has enormous implications on the architecture of a distribution network. Firstly, the thermal comfort model of the human body was established to analyze the comfortable body temperature of a main crowd under different temperatures and levels of humidity. Secondly, it analyzed the influence factors of electric heating load, and from the perspective of meteorological factors, it selected the difference between human thermal comfort temperature and actual temperature and humidity by gray correlation analysis. Finally, the attention mechanism was utilized to promote the precision of combined adjunction model, and then the data results of the predicted electric heating load were obtained. In the verification, the measured data of electric heating load in a certain area of eastern Inner Mongolia were used. The results showed that after considering the input vector with most relative factors such as temperature and human thermal comfort, the LSTM network can realize the accurate prediction of the electric heating load.

2011 ◽  
Vol 243-249 ◽  
pp. 4905-4908
Author(s):  
Xue Min Sui ◽  
Xu Zhang ◽  
Guang Hui Han

Relative humidity is an important micro-climate parameter in radiant cooling environment. Based on the human thermal comfort model, this paper studied the effect on PMV index of relative humidity, and studied the relationship of low mean radiant temperature and relative humidity, drew the appropriate design range of indoor relative humidity for radiant cooling systems.The results show that high relative humidity can compensate for the impact on thermal comfort of low mean radiant temperature, on the premise of achieving the same thermal comfort requirements. However, because of the limited compensation range of relative humidity, together with the constraints for it due to anti-condensation of radiant terminal devices, the design range of relative humidity should not be improved, and it can still use the traditional air-conditioning design standards.


Author(s):  
Zhi Zhang ◽  
Jingxiong Liu ◽  
Xi Duan ◽  
Yanhui Zhang ◽  
Haibo Zhao ◽  
...  

1980 ◽  
Vol 102 (2) ◽  
pp. 155-161 ◽  
Author(s):  
L. H. Kuznetz

Astronauts utilize water cooling in a liquid-cooled garment to maintain thermal comfort during extravehicular activities (EVA’s). In the Apollo and Skylab Programs, manual control of the cooling water was a necessary operation to ensure proper control of body heat storage for the EVA crewman. The development of an automatic thermal control system would be a valuable asset to the conduct of EVA, relieving the crewman of a task that can interfere with his EVA objectives. An analytical model of human thermoregulation was used to develop the equations governing the operation of such an automatic controller. A series of tests verified the feasibiliy of a controller utilizing only a measurement of the difference in coolant temperature into and out of the astronaut’s liquid-cooled garment and an estimate of environmental heat loss to maintain the proper crewman thermal balance. Three test subjects performed over a wide range of metabolic rates, and the crewman heat balance was maintained well within allowable medical limits. This study demonstrates the use of a mathematical model to generate previously unknown physiological relationships between human thermal comfort and liquid cooled garment performance. In so doing, it quantitates physiological parameters that are difficult to relate directly by experiment. Index terms: body temperature regulation, space suit cooling, temperature control, human thermoregulation.


2018 ◽  
Vol 7 (4.3) ◽  
pp. 383 ◽  
Author(s):  
V. I. Deshko ◽  
N. A. Buyak ◽  
I. O. Sukhodub1

The building is considered together with a heating source in the analysis, it is also proposed to include a human thermal comfort model in this complex system. Regression equations for determining the comfortable room air temperature according to energy and exergy approaches are presented. Human thermal comfort model is included for the first time in the complex building energy system, by determining the comfortable room air temperature, which corresponds to PMV (predicted mean vote), not lower than value for the corresponding building category. The effect of enclosing structures thermal resistance changes on space average radiant temperature and on building category in terms of providing comfortable conditions is estimated. The influence of thermal comfort subjective parameters on primary fuel exergy consumption by the centralized heating system is estimated on the basis of developed model for the Ukrainian conditions.  


2002 ◽  
Author(s):  
Rom Mcguffin ◽  
Rick Burke ◽  
Charley Huizenga ◽  
Zhang Hui ◽  
Andreas Vlahinos ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document