3 ) Building Energy Optimization ( Beo )
نویسنده
چکیده
Building Energy Optimization (BEO) Team Lead: B. Rasmussen Name Affiliation Name Affiliation Dr. Bryan Rasmussen Assistant Professor, Mechanical Engineering Dr. David Claridge Director, Energy Systems Lab Dr. Jorge Alvorado Assistant Professor, Engineering Technology Mr. James Riley Head, Texas A&M Utilities Dr. Shankar Bhattacharyya Professor, Electrical Engineering Dr. Aniruddha Datta Professor, Electrical Engineering
منابع مشابه
Analysis and Optimization using Renewable Energies to Get Net-Zero Energy Building for Warm Climate
Due to low energy price, economic optimization of consumption has no justification for users in Iran. Nowadays, the issue of ending fossil fuels, production of greenhouse gases and the main role of building in consumption of considerable amount of energy has drawn the focus of global researches to a new concept called net zero energy building. In this study, modeling, simulation and energy anal...
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Electrical sensitivity of a beryllium oxide nanotube (BeONT) was examined toward (C4H5N) molecule by using density functional theory (DFT) calculations at the B3LYP/6-31(d) level, and it was found that the adsorption energy (Ead) of pyrrole on the pristine nanotubes is a bout -48.58kcal/mol. But when nanotubes has been doped with S and P atomes , the adsorptio...
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The factors that can have a significant effect on the amount of solar energy received by the building are the material used in the external view and the lightning. The general objective of this research is to consider the existing climate conditions (Mashhad) in selecting and applying materials as well as the dimensions of the openings relative to the facade, taking into account the energy con...
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Abstract: Electrical sensitivity of a beryllium oxide nanotube (BeONT) was examined toward (C5H5N) molecule by using density functional theory (DFT) calculations at the B3LYP/6-31(d) level, and it was found that the adsorption energy (Ead) of pyridine on the pristine nanotubes is a bout -73.29kcal/mol. But when nanotubes has been doped with S and P atomes , t...
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Building information modeling can help in predicting the energy efficiency in future based on dynamic patterns obtained by visualization of data. The aim of this study was to investigate the effective parameters of energy consumption using BIM technology which can evaluate the buildings energy performance. First, three forms of general states in the building were modeled to evaluate the propose...
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