Simulation analysis and thermal comfort assessment of indoor environment of the heritage building in gate tower

2020 ◽  
pp. 1420326X2090892
Author(s):  
Qunli Zhang ◽  
Hongbao Zhai ◽  
Xinchao Zhang ◽  
Fang Liu
Keyword(s):  
Thermal Comfort ◽  
Distribution System ◽  
Air Conditioning ◽  
Indoor Environment ◽  
Simulation Analysis ◽  
Heating System ◽  
Air Conditioning System ◽  
Heritage Buildings ◽  
Heritage Building ◽  
Air Control

The thermal comfort inside heritage buildings in China is mostly achieved with the use of split air conditioning and radiator heating system. Due to inefficiencies in the design of those systems, the regulation of air temperature is generally inadequate. To meet the thermal comfort requirements of the partial significant room, which is the meeting hall area, and to preserve the external walls and facade, this paper simulates and analyses typical working conditions of air control schemes in the gate tower and suggests the use of a floor-type fan coil air conditioning system. The results show that the proposed air distribution system can maintain a temperature of 295 K in the summer, which meets the thermal comfort requirements of the meeting hall. This method takes into account the requirement for thermal comfort, as well as the requirements of heritage preservation. Our proposal contributes to the growing literature, which studies methods of improving the thermal comfort of the indoor environment of heritage buildings.

Analysis of the Correlation among Thermal Dissatisfaction and Productivity in the Indoor Environment with VDT

2000 ◽  
Vol 44 (8) ◽  
pp. 12-15
Author(s):  
Luiz Bueno da Silva ◽  
Francisco Antonio P. Fialho ◽  
Antonio Souto Coutinho ◽  
da F. Lima Márcio Botelho ◽  
P. Xavier Antonio de Augusto
Keyword(s):  
Computer Program ◽  
Thermal Comfort ◽  
Air Conditioning ◽  
Indoor Environment ◽  
Air Conditioning System ◽  
Predicted Mean Vote ◽  
Central Air Conditioning

This paper presents an investigation hold on a Bank Agency Compensation Department about the correlation between productivity and thermal dissatisfaction indicators, through the use of Pearson's coefficient (r). The criteria for measuring thermal comfort conditions were based on PMV indexes (Predicted Mean Vote), and PPD (Predicted Percentage of Dissatisfied), according ISO 7730/1994 norm. Productivity was measured through the use of a computer program developed for running in a UNIX platform. The results show a meaningful correlation between thermal dissatisfaction and productivity, when the central air conditioning system was working satisfactorily.

scholarly journals Barriers on Establishing Passive Strategies in Office Spaces: A Case Study in a Historic University Building

2021 ◽  
Vol 13 (8) ◽  
pp. 4563
Author(s):  
Nuno Baía Baía Saraiva ◽  
Luisa Dias Dias Pereira ◽  
Adélio Rodrigues Gaspar ◽  
José Joaquim da Costa
Keyword(s):  
Thermal Comfort ◽  
Indoor Environment ◽  
Hvac Systems ◽  
Heritage Buildings ◽  
Full Capacity ◽  
Free Cooling ◽  
Passive Strategies ◽  
The University ◽  
Indoor Conditions

The adaptation of spaces to different usage typologies can be complex in heritage buildings. Facilities were initially planned for a specific type of use that, when changed, require additional measures to ensure a suitable indoor environment. Passive strategies—e.g., free cooling—are commonly used as an alternative without requiring equipment installation. However, its implementation often leads to unsatisfactory conditions. Therefore, it is important to clarify the main barriers to achieving thermal comfort in readapted historic buildings. The present work investigates the thermal comfort conditions reported by workers in office spaces of a historic building in the University of Coimbra. A monitoring campaign was carried out between May and September 2020 to assess indoor conditions’ quality. Due to the current pandemic of COVID-19, offices were not occupied at full capacity. A one-day evaluation of thermal comfort was made using a climate analyzer and six occupants were surveyed on 19 August 2020. The main results highlighted discomfort due to overheating of spaces. The causes were related to the combination of inadequate implementation of the free cooling actions and the building use. Furthermore, it was recommended the installation of HVAC systems in case of full capacity.

Effect of Air Conditioning Position on Thermal Comfort in the Floor Air Conditioning System

2014 ◽  
Vol 493 ◽  
pp. 74-79
Author(s):  
Y.A. Sabtalistia ◽  
S.N.N. Ekasiwi ◽  
B. Iskandriawan
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Energy Consumption ◽  
Thermal Comfort ◽  
Energy Efficient ◽  
Air Conditioning ◽  
Air Conditioning System ◽  
Air Supply ◽  
Air Conditioning Systems ◽  
Air Diffusion

Energy consumption for air conditioning systems (air conditioning system) increased along with the increasing need for fresh air and comfortable in the room especially apartments. FAC system (Floor Air Conditioning) is growing because it is more energy efficient than CAC (Ceiling Air Conditioning) system. However, the position of the AC supply is on the lower level at the FAC system causes draft discomfort becomes greater as air supply closer to the occupants so that thermal comfort can be reduced. Heat mixture of windows, exterior walls, kitchen, and occupants in the studio apartment affect thermal comfort in the room too.This study aims to determine the position of the AC supply which has the best thermal comfort of FAC system in the studio apartment. It can be done by analyzing ADPI (Air Diffusion Performance Index), the distribution of air temperature, wind speed, RH (Relative Humidity), and DR (Draft Risk) to change the position of the AC supply supported by CFD (Computational Fluid Dynamics) simulation.This result prove that AC position 2 (on wall near the kitchen) is more comfortable than AC position 1 (on the bathroom wall) because AC position 2 away from occupied areas, thereby reducing the occurrence of draught discomfort.

scholarly journals Thermal Comfort Study Based on PMV-PPD in the Building of a Screening Center for COVID-19

2021 ◽  
Author(s):  
Danial Mohammadi ◽  
Simin Nasrabadi
Keyword(s):  
Thermal Stress ◽  
Energy Consumption ◽  
Thermal Comfort ◽  
Air Conditioning ◽  
Thermal Condition ◽  
R Software ◽  
Air Conditioning System ◽  
Thermal Index ◽  
Predicted Mean Vote ◽  
Hot Climate

Background: One way to achieve a standard heating, ventilating, and air conditioning system with maximum satisfaction is to use a thermal index to identify and determine the thermal comfort of people. In this study we intend to evaluate thermal comfort based on PMV-PPD (Predicted Mean Vote/Predicted Percentage Dissatisfied) model in workers of screening center for COVID-19. Methods: The study period was from March 1 to October 31, 2020. In this study, we used the ISO 7730 model to determinate PMV-PPD index. PMV index was used to determine thermal comfort at different scales in Birjand city with arid and hot climate. All data were analyzed using R software (version 3.3.0) and IBM SPSS statistics softwares. Results: The maximum and minimum recorded physical PMV values in the study period were observed in June as (2.09 ± 0.03) and March as (-1.27 ± 0.14), respectively. The amplitude of the thermal sense in the study period was varied between slightly cool (-1.5) and warm (+2.5). The PPD in spring was 40% which indicated slightly warm to hot condition. Conclusions: The October was the only month during the study in which thermal stress was in comfort or neutral thermal condition.  Our results suggest that thermal comfort has dimensions and indices which are helpful in managing energy consumption.

scholarly journals Thermal comfort control via air conditioning system using fuzzy neural network feedback controller

2020 ◽  
Vol 19 (2) ◽  
pp. 586
Author(s):  
Somaye A. Mohamadi ◽  
Abdulraheem J. Ahmed
Keyword(s):  
Neural Network ◽  
Thermal Comfort ◽  
Environmental Conditions ◽  
Air Conditioning ◽  
Fuzzy Controller ◽  
Environmental Parameters ◽  
Thermal Conditions ◽  
Real Time Control ◽  
Air Conditioning System ◽  
Air Conditioning Systems

<span>Despite their complexity and uncertainty, air conditioning systems should provide the optimal thermal conditions in a building. These controller systems should be adaptable to changes in environmental parameters. In most air conditioning systems, today, there are On/Off controllers or PID in more advanced types, which, due to different environmental conditions, are not optimal and cannot provide the optimal environmental conditions. Controlling thermal comfort of an air conditioning system requires estimation of thermal comfort index. In this study, fuzzy controller was used to provide thermal comfort in an air conditioning system, and neural network was used to estimate thermal comfort in the feedback path of the controller. Fuzzy controller has a good response given the non-linear features of air conditioning systems. In addition, the neural network makes it possible to use thermal comfort feedback in a real-time control.</span>

scholarly journals Heat pump air conditioning system for pure electric vehicle at ultra-low temperature

2014 ◽  
Vol 18 (5) ◽  
pp. 1667-1672 ◽  
Author(s):  
Hai-Jun Li ◽  
Guang-Hui Zhou ◽  
An-Gui Li ◽  
Xu-Ge Li ◽  
Ya-Nan Li ◽  
...  
Keyword(s):  
Low Temperature ◽  
Electric Vehicle ◽  
Heat Pump ◽  
Air Conditioning ◽  
Heating System ◽  
Experimental Results ◽  
Air Conditioning System ◽  
Discharge Temperature ◽  
Heating Capacity ◽  
Environment Temperature

When the ordinary heat pump air conditioning system of a pure electric vehicle runs at ultra-low temperature, the discharge temperature of compressor will be too high and the heating capacity of the system will decay seriously, it will lead to inactivity of the heating system. In order to solve this problem, a modification is put forward, and an experiment is also designed. The experimental results show that in the same conditions, this new heating system increases more than 20% of the heating capacity; when the outside environment temperature is negative 20 degrees, the discharge temperature of compressor is below 60 degrees.

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