چكيده به لاتين
Abstract
Energy saving is without exaggeration a matter of considerable importance. Annual energy consumption in climate regions with hot and humid weather, or cold and mountainous regions, is dramatically high, due to the need for excessive heating or air conditioning in order to keep the indoor climate at a desirable level. This makes these regions a high priority for energy conservation practices. High amount of energy consumption , and its direct impact on human comfort has made energy efficiency even a higher priority. In this study, the combination of Building Information Modeling (BIM) and Building Performance Modeling (BPM) are performed to identify and measure materials and methods to reduce the energy used in a building's life cycle. We compare various modeling softwares that have been proposed in the literature, and highlight the pros and cons of each. Finally we propose two of such modeling softwares, namely Autodesk Ecotect and Autodesk Revit. As a result, the best combination of available building materials to achieve the aim of this study is identified. The impact of the poor quality of construction is one of the goals of this study. Such impact has been studied in other studies and various impact factors have been mentioned in other studies. Here we evaluate this impact by comparing the amount of the annual energy consumption and the amount of energy wasted due to poor quality of construction in different areas. Similarly, increasing area of windows in buildings may adversely impact the annual energy consumption and thereby offset the efforts to achieve thermal comfort. Furthermore, we study a comparison of empirical research on the optimization of insulation thickness and proposed the best option in a given region. In addition, in this study, suitable materials and optimum size based on the climatic conditions of different regions of Iran is determined. The share of energy consumption in the commercial and residential buildings in Iran is considered and, according to studies, and given the 38% share of consumption in heating spaces we emphasize the important role of thermal insulation of external walls. The effect of insulation on energy consumption in this area was calculated by simulation and specified by using a suitable insulation system and is estimated to result in 40% savings in energy consumption in building’s lifecycle.
Keywords:
Energy Saving , Energy consumption , Optimization , Modeling , Insulation , Climate
