Experimental and numerical studies of reducing cooling load of lecture hall

2015 ◽  
Vol 89 ◽  
pp. 163-169 ◽  
Author(s):  
M.W. Muhieldeen ◽  
N.M. Adam ◽  
B.H. Salman
2018 ◽  
Vol 44 ◽  
pp. 00081
Author(s):  
Dorota Anna Krawczyk ◽  
Bernadetta Wądołowska ◽  
Antonio Rodero

This paper discusses issues related to cooling load and energy consumption for air conditioning systems and presents the results of calculations conducted for six different climate localizations: three in Poland (Bialystok, Warsaw, Wroclaw) and three in Spain (Burgos, Madrid, Cordoba). Analysis was conducted for a same lecture hall design for 100 users locates in the different cities. During cooling load calculations, we focused on gains from diverse type of heat sources: electrical devices, air infiltration, heat transfer trough envelope and occupants. Calculations were made for a comfort temperature that was set at 22°C in Poland and 24°C in Spain following previous studies [11]. The highest contributions to cooling load correspond to occupancy and solar gains which depends mainly on outdoor conditions. In Poland, cooling load was found similar for different locations, while in Spain, they are big differences between cities located in North and South of this country by effect of different outdoor conditions. The work also compares cost of air condition annual energy consumption costs for the air conditioning system. Highest cost for cooling was found in Spain (Cordoba) with value (2629 €) almost 378% higher than average Polish cost.


2006 ◽  
Vol 133 ◽  
pp. 1013-1017 ◽  
Author(s):  
C. Michaut ◽  
L. Boireau ◽  
T. Vinci ◽  
S. Bouquet ◽  
M. Koenig ◽  
...  

2019 ◽  
Vol 7 (1) ◽  
pp. 12-22
Author(s):  
Ratu Mutia Fajarani ◽  
Yopi Handoyo ◽  
Raden Hengki Rahmanto

Cooling is the best preservation method than others because the food that has been cooled will remain fresh and will not experience a change in taste, color and aroma, besides all the activities that cause decay will stop so that the cooled food will last longer. (Hartanto, 1984). With the proper cooling engine planning, it can help with spatial adjustments, adjustments to loading, estimation of the power to be used, and budget plans. That is what is commonly called the cooling load calculation. Calculation of cooling load needs to be carried out before planning. This is necessary because the magnitude of the pending load is very influential on the selection of the cooling engine so that the freezing point for preserving food can be accurate. Pendiginan burden is influenced by external and internal factors. With the experimental method, it is obtained the results of the external cooling load as the external cooling load is 11.6 kW, the inner cooling load is 138.8 kW and the performance work coefficient (COP) is 2.


2009 ◽  
Vol 129 (6) ◽  
pp. 831-839
Author(s):  
Keisuke Udagawa ◽  
Sadatake Tomioka ◽  
Hiroyuki Yamasaki

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