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Colonelli, Paula; Hormazábal, Nina; GIVONI, Baruch. Comparison of different tools to predict thermal performance of low-income housing in central Chile. In: CONFERENCE ON PASSIVE AND LOW ENERGY ARCHITECTURE, 20., 2003, Santiago do Chile. Anais... Santiago do Chile, 2003.
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Abstract

This paper describes and evaluates two methods for predicting the thermal performance of housing with reference to maximum and minimum temperatures. These tools consist of experimentally based predictive formulas and a software program called DEROB LTH. The formulas and simulator are validated by real data measured over a 77-day period in the summer, in four low-income houses located in the northwestern sector of the city of Santiago, Chile. The results show that the predictive formulas can predict the thermal performance of a monitored house under different climate conditions, but only with the same configuration: orientation, size of windows, thermal characteristics of the walls, etc. The software requires many input variables, and to validate it the house to be measured has to be exactly reproduced within the program, including variables such as outside color absorption and air changes, etc. The main difference between the two methods is that the software can design a house, modify its design materials and orientation, and thus improve the thermal performance prior to construction, while the predictive formulas evaluate how an already constructed and measured house behaves in a different outside climate. Certainly the formulas are an excellent tool to evaluate how a certain design will behave given a different location or a different time of the year.
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