Energy
N. Amani; A. Sabamehr; L. M. Palmero Iglesias
Abstract
The building sectors are recognized as one of the essential contributors of global warming and climate change because of their high energy use. The building sector is responsible for 40% of all energy usage and 40% of the CO2 emissions in the developed countries. Researchers in the world are working ...
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The building sectors are recognized as one of the essential contributors of global warming and climate change because of their high energy use. The building sector is responsible for 40% of all energy usage and 40% of the CO2 emissions in the developed countries. Researchers in the world are working on energy management and conservation using simulation software to develop strategies that lead to an overall reduction of energy consumption in the buildings. This review is considered a modeling and simulation approach with a specific focus on residential building. Modeling and simulation methods reviewed are presented categorically as per the strategic approach adopted by the researchers. Simulation results available for residential building energy are also introduced. This research has reviewed the capabilities and performances on Ecotect simulation and modeling, including daylighting, solar radiation, thermal analysis, and shading for energy management and conservation of residential building. Different modeling and simulation approaches, from various building and climate, were reviewed and discussed. The analysis of present work greatly help the researchers' decision-making and selection of software to perform various simulations in energy management of residential buildings.
S. Hasan; J. A. Usmani; M. Islam
Abstract
This study used a simulate based approach for calculating building energy consumption using monitoring data. This calibration was carried out on a building situated in Gurgaon, Delhi. Software used for dynamic simulation was E-Quest 3.65. The objective function was set to minimize the difference between ...
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This study used a simulate based approach for calculating building energy consumption using monitoring data. This calibration was carried out on a building situated in Gurgaon, Delhi. Software used for dynamic simulation was E-Quest 3.65. The objective function was set to minimize the difference between calculated data and simulated data. The evaluation of the model accuracy, the mean bias error (MBE) and the Coefficient of Variation (Cv RMSE) were calculated. Through this paper show the real behavior of people in a building simulation, there may be differences up to 30% [1]. This paper shows the possibility of energy, money and time saving. The schedule of simulated building is same as per actual building.