Data

Computational Assessment of Building System Performance

Central Queensland University
Ashfaque Chowdhury (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25946/21392019.v1&rft.title=Computational Assessment of Building System Performance&rft.identifier=https://doi.org/10.25946/21392019.v1&rft.publisher=Central Queensland University&rft.description=Dataset related to Computational assessment of building system performance: Improved energy efficiency and thermal comfortability for the future The research objective is to computationally evaluate the performance of various alternative building envelopes and low energy cooling methods to determine the best performing envelop and cooling method to enhance the energy efficacy and human comfort in buildings in a subtropical climate in Australia.&rft.creator=Ashfaque Chowdhury&rft.date=2023&rft_rights=CQUniversity General 1.0&rft_subject=Energy expenditure&rft_subject=Multi-storeyed buildings&rft_subject=Heating, ventilation and air conditioning (HVAC)&rft_subject=Alternative building envelopes&rft_subject=Low emission cooling&rft_subject=Australia&rft_subject=Energy efficacy&rft_subject=Renewable Power and Energy Systems Engineering (excl. Solar Cells)&rft_subject=Electrical energy generation (incl. renewables, excl. photovoltaics)&rft.type=dataset&rft.language=English Access the data

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Dataset related to Computational assessment of building system performance: Improved energy efficiency and thermal comfortability for the future The research objective is to computationally evaluate the performance of various alternative building envelopes and low energy cooling methods to determine the best performing envelop and cooling method to enhance the energy efficacy and human comfort in buildings in a subtropical climate in Australia.

Issued: 2020-11-25

Created: 2022-10-25

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