Thermal Comfort and Energy Efficient Design of a Central Air Conditioning System of an Educational Institute

2021 ◽  
pp. 143-159
Author(s):  
Rahul Sharma ◽  
Roshan Raman ◽  
Omprakash Yadav ◽  
Mohammad Shahbaz Khan ◽  
Vinod Kumar Yadav
2014 ◽  
Vol 493 ◽  
pp. 74-79
Author(s):  
Y.A. Sabtalistia ◽  
S.N.N. Ekasiwi ◽  
B. Iskandriawan

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.


2015 ◽  
Vol 77 (28) ◽  
Author(s):  
Aidil Sukri Ahmad ◽  
S. A. Abdul Shukor ◽  
Karl Kohlhof ◽  
Zul Azhar Zahid Jamal ◽  
Azizul Mohamad

The usage of air conditioning system to create a thermally comfortable environment in tropical countries is often a must, not necessarily luxurious any longer. However, the extreme usage of the system will lead towards higher consumption of energy and higher cost. A promising energy efficient model developed based on the Predictive Mean Vote (PMV) is analyzed and evaluated here to distinguish its workability. This model only requires the user to enter their respective PMV value (from -1 to +1) and the respective parameters will be inserted into the air conditioning system, which is based on the standard thermal comfort ISO 7730. Analyses and evaluations were done based on the measurements from human subjects and their feelings towards the surroundings were recorded to see the performance of the model. From here, more than 91% of the subjects agree with the parameters used in defining their thermal comfort. This proves the workability of the model towards controlling the air conditioning system in creating a thermal comfort ambience at lower energy consumption, and further simulative investigations are appreciated before implementation.


Author(s):  
Luiz Bueno da Silva ◽  
Francisco Antonio P. Fialho ◽  
Antonio Souto Coutinho ◽  
da F. Lima Márcio Botelho ◽  
P. Xavier Antonio de Augusto

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.


2010 ◽  
Vol 171-172 ◽  
pp. 159-162
Author(s):  
Wei Cai ◽  
Ke Jian Cai ◽  
Zhao Hui Wu

Large-scale public buildings have high energy density, which take big part of the gross energy consumption in buildings in China. It is still in attempting stage about the strategy of energy conservation in air conditioning systems. The objective of this study is to investigate that how to appropriately divide central air conditioning system zoning by using simulation software to calculate the basis dynamic temperature and load in typical large-scale public buildings. Effects of weather conditions, building envelope conditions and building structure on large-scale public building energy consumption were analyzed in this simulation. The results show that the building load is the fundamental factor involved in air conditioning system zoning. Surplus heat recovery in inner zone is also recommended to maintain inner zone comfort and energy conservation. This work provides the theoretical and technological basis for study on central air conditioning system zoning and thermal comfort for large-scale public building.


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