The Investigation and Analysis of Indoor Temperature Desire of Building Users in Harbin

Author(s):  
Hua Zhao ◽  
Hongxiang Shu
Keyword(s):  
Materials ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 1395
Author(s):  
Angel Serrano ◽  
Ana M. Borreguero ◽  
Isabel Iglesias ◽  
Anselmo Acosta ◽  
Juan F. Rodríguez ◽  
...  

A novel form-stable phase-change material (PCM) based on facing bricks was developed by incorporating thermoregulating PEG-SiO2, synthetized by sol-gel method and based on polyethylene glycol as phase-change material and silica as stabilizer compound. The PEG-SiO2 in its liquid form (sol) is firstly adsorbed inside the porous brick and lastly stabilized (gel) by controlling its gelation time, obtaining form-stable PCMs with PEG-SiO2 contents within 15–110 wt.%. Kinetic adsorption curves of the sol into bricks having different porosities as well as maximum adsorption capacities were obtained. The effective diffusion coefficients (Deff) were estimated by means of Fick’s second law, it being possible to predict the adsorption of sol PEG-SiO2 by the brick as function of its porosity and the free diffusion coefficient. Finally, form-stable PCMs demonstrated an improvement in their thermal energy storage capacity (up to 338%), these materials being capable of buffering the indoor temperature during an entire operational day


Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 997
Author(s):  
Davide Coraci ◽  
Silvio Brandi ◽  
Marco Savino Piscitelli ◽  
Alfonso Capozzoli

Recently, a growing interest has been observed in HVAC control systems based on Artificial Intelligence, to improve comfort conditions while avoiding unnecessary energy consumption. In this work, a model-free algorithm belonging to the Deep Reinforcement Learning (DRL) class, Soft Actor-Critic, was implemented to control the supply water temperature to radiant terminal units of a heating system serving an office building. The controller was trained online, and a preliminary sensitivity analysis on hyperparameters was performed to assess their influence on the agent performance. The DRL agent with the best performance was compared to a rule-based controller assumed as a baseline during a three-month heating season. The DRL controller outperformed the baseline after two weeks of deployment, with an overall performance improvement related to control of indoor temperature conditions. Moreover, the adaptability of the DRL agent was tested for various control scenarios, simulating changes of external weather conditions, indoor temperature setpoint, building envelope features and occupancy patterns. The agent dynamically deployed, despite a slight increase in energy consumption, led to an improvement of indoor temperature control, reducing the cumulative sum of temperature violations on average for all scenarios by 75% and 48% compared to the baseline and statically deployed agent respectively.


2021 ◽  
pp. 111053
Author(s):  
Zhen Fang ◽  
Nicolas Crimier ◽  
Lisa Scanu ◽  
Alphanie Midelet ◽  
Amr Alyafi ◽  
...  

Author(s):  
Chien-Cheng Jung ◽  
Nai-Tzu Chen ◽  
Ying-Fang Hsia ◽  
Nai-Yun Hsu ◽  
Huey-Jen Su

Previous studies have demonstrated that outdoor temperature exposure was an important risk factor for respiratory diseases. However, no study investigates the effect of indoor temperature exposure on respiratory diseases and further assesses cumulative effect. The objective of this study is to study the cumulative effect of indoor temperature exposure on emergency department visits due to infectious (IRD) and non-infectious (NIRD) respiratory diseases among older adults. Subjects were collected from the Longitudinal Health Insurance Database in Taiwan. The cumulative degree hours (CDHs) was used to assess the cumulative effect of indoor temperature exposure. A distributed lag nonlinear model with quasi-Poisson function was used to analyze the association between CDHs and emergency department visits due to IRD and NIRD. For IRD, there was a significant risk at 27, 28, 29, 30, and 31 °C when the CDHs exceeded 69, 40, 14, 5, and 1 during the cooling season (May to October), respectively, and at 19, 20, 21, 22, and 23 °C when the CDHs exceeded 8, 1, 1, 35, and 62 during the heating season (November to April), respectively. For NIRD, there was a significant risk at 19, 20, 21, 22, and 23 °C when the CDHs exceeded 1, 1, 16, 36, and 52 during the heating season, respectively; the CDHs at 1 was only associated with the NIRD at 31 °C during the cooling season. Our data also indicated that the CDHs was lower among men than women. We conclude that the cumulative effects of indoor temperature exposure should be considered to reduce IRD risk in both cooling and heating seasons and NIRD risk in heating season and the cumulative effect on different gender.


2020 ◽  
Vol 11 (1) ◽  
pp. 97
Author(s):  
Yunchan Shin ◽  
Minjung Lee ◽  
Honghyun Cho

In this study, electroencephalogram (EEG) and cardiac activity status of the human body while using various types of seats during rest were analyzed in indoor summer conditions. Thermal comfort was also evaluated through a subjective survey. The EEG, cardiac activity status, and subjective survey during rest indicated that the use of ventilation and cold water-cooling seats was effective. This effectiveness was because of the θ-wave and α-wave activation, sensorimotor rhythm, β-wave reduction, and left hemisphere activation, demonstrating that the conditions applied were suitable for rest. According to the analysis of the subjective questionnaire survey, the use of ventilation and cold water-cooling seats provided a more pleasant state than the basic seat, improving the subject’s warmth and comfort, and also the concentration. In addition, the use of a cold water-cooling seat provided the highest satisfaction level, being the most favorable condition for rest.


2013 ◽  
Vol 5 (4) ◽  
pp. 388-396 ◽  
Author(s):  
Erika Streckytė ◽  
Donatas Butkus

The article presents the entry of radon gas into premises and introduces the parameters accelerating and slowing this process. The paper determines the dependence of radon gas entering the premises on ambient temperature and humidity changes. It is noted that a growth in differences under ambient and indoor temperature increases indoor radon concentrations in the air due to an increase in the intensity of radon exhalation from soil. Also, an increase in the moisture content indoors decreases the volumetric activity of radon in the air. The simulated values of radon volumetric activity in ambient air were similar to those measured using radon monitoring device RTM2200. Radon concentration in the air of the first floor was higher than that in the second floor. Indoor radon concentrations were highest in the winter and lowest in summer season. Article in Lithuanian. Santrauka Nagrinėjama radono dujų patekimo į patalpas procesas, šį procesą spartinantys ir lėtinantys parametrai. Nustatoma radono dujų patekimo į patalpas priklausomybė nuo aplinkos temperatūros bei drėgnio kitimo. Pastebėta, kad, didėjant aplinkos ir patalpos temperatūrų skirtumui, didėja ir radono tūrinis aktyvumas patalpos ore (vasarą radono tūrinis aktyvumas siekė 45,0±3,0 Bq/m3, kai temperatūrų skirtumas buvo 3,1 °C, o rudenį – 62,0±5,0 Bq/m3, esant temperatūrų skirtumui 3,9 °C), didėja radono ekshaliacijos iš dirvožemio intensyvumas, o didėjant drėgmės kiekiui patalpose radono tūrinis aktyvumas ore mažėja. Sumodeliuotos radono tūrinio aktyvumo patalpos ore reikšmės buvo panašios kaip ir išmatuotos naudojant radono monitorių RTM2200. Pirmajame aukšte radono tūrinis aktyvumas ore buvo didesnis nei antrajame. Žiemos sezonu jo vertė buvo didžiausia (47,0±10,5 Bq/m3), o vasaros sezonu – mažiausia (15±1,8 Bq/m3).


2011 ◽  
Vol 267 ◽  
pp. 565-568
Author(s):  
Su Chen ◽  
Dong Xing Wang

Most currently used shutters are manually operated. The design of an intelligent shutter has been proposed. The intelligent shutter can be powered by a solar battery. Photosensitive resistors have been used to determine if it is in daytime or nighttime, if it is sunny or not, and if the light is turned on or turned off. Digital temperature sensors have been used to detect the indoor temperature and the outside temperature. They are also used to determine the current season. The intelligent shutter is automatically controlled according to the above information. It is turned off at night and is set in sleep mode to save energy. It is turned on partially on sunny day in summer. In rainy day, the shutter is turned off while the indoor light is on. The intelligent shutter can also be controlled using a wireless remote controller, which makes it very friendly. It is comfort and energy-saving using the intelligent shutter. Experiments have demonstrated the applicability of the design.


2013 ◽  
Vol 368-370 ◽  
pp. 599-602 ◽  
Author(s):  
Ian Hung ◽  
Hsien Te Lin ◽  
Yu Chung Wang

This study focuses on the performance of air conditioning design at the Dazhi Cultural Center and uses a computational fluid dynamics (CFD) simulation to discuss the differences in wind velocity and ambient indoor temperature between all-zone air conditioning design and stratified air conditioning design. The results have strong implications for air conditioning design and can improve the indoor air quality of assembly halls.


2014 ◽  
Vol 14 (1) ◽  
pp. 5-11 ◽  
Author(s):  
Tabassom Safikhani ◽  
Aminatuzuhariah Megat Abdullah ◽  
Dilshan Remaz Ossen ◽  
Mohammad Baharvand

Abstract - Using vertical greenery systems to reduce heat transmission is becoming more common in modern architecture. Vertical greenery systems are divided into two main categories; green facades and living walls. This study aims to examine the thermal performance of vertical greenery systems in hot and humid climates. An experimental procedure was used to measure indoor temperature and humidity. These parameters were also measured for the gap between the vertical greenery systems and wall surfaces. Three boxes were used as small-scale rooms. Two boxes were provided with either a living wall or a green facade and one box did not have any greenery (benchmark). Blue Trumpet Vine was used in the vertical greenery systems. The data were recorded over the course of three sunny days in April 2013. An analyses of the results showed that the living wall and green facade reduced indoor temperature up to 4.0 °C and 3.0 °C, respectively. The living wall and green facade also reduced cavity temperatures by 8.0 °C and 6.5 °C, respectively.


Sign in / Sign up

Export Citation Format

Share Document