AN ESTIMATE OF ENERGY CONSUMPTION FOR HOUSING BUILDINGS IN HOT CLIMATIC ZONES THROUGH ARTIFICAL INTELLIGENCE METHODS: CASE OF ANTALYA

Year 2018, Volume: 13 Issue: 3, 273 - 284, 23.07.2018

Kübra Sümer Haydaraslan Ersin Haydaraslan Hamdi Tolga Kahraman Yalçın Yaşar

Abstract

Buildings
use about one-third of total energy consumed in order to meet their heating and
cooling needs. The building envelope that enables to protect it from physical
factors in the outer environment is quite effective upon the amount of energy
consumed. For the energy efficient solutions, it is necessary to enhance the
heating and cooling performance of the building envelope. With this aim, in the
study, the energy loads were calculated, which were consumed for heating and
cooling by a building established as a reference through a simulation program
in the province of Antalya, which respects a hot climatic zone, and the shifts
in yearly heating and cooling loads of the alternative models were examined,
which were developed by changing the thermal insulation thickness and the
window-to-wall area ratio. In the study, the modern, effective artificial
intelligence methods were used to enhance the energy performance of
multi-dimensional buildings. Of the models for which heating and cooling load
calculation had not been made before, the estimates for the thermal loads were
made using an energy simulation program, and it has been reached that thermal
insulation thickness and window-to-wall area ratio have effect on both loads.

Keywords

Thermal Performance, Heating Load, Cooling Load, Thermal Insulation, Artificial Intelligence

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