A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Sensitivities of energy use reduction in subtropical high-rise office buildings: A Hong Kong case
https://orcid.org/0000-0002-2660-131X
https://orcid.org/0000-0002-2720-3073
Highlights One-year microclimate was measured on the rooftop of a 26-storey office building. Multiple methods were used to validate energy model of high-rise office buildings. Fan efficiency and cooling setpoint were found to mostly affect building energy use. Envelope, orientation and window blind had modest impact on building energy use. Total building energy use can vary by 60% by using various energy saving measures.
Abstract Office buildings are a major contributor to energy consumption in high-density urban contexts where building high-rises is a norm. It is important to understand the parameters affecting high-rise office buildings’ energy consumption. However, previous research generally used isolated buildings as target buildings, regardless of the impact brought by the surrounding buildings. Also, there lacked a comprehensive calibration method to validate the energy baseline model. This paper aims to quantitatively analyse the energy use in high-rise office buildings by tackling these two issues and examining the impacts of various energy-saving measures (ESMs). A real-life 26-story office building in Hong Kong was selected as a base case. Multiple methods were used to calibrate the building energy model, including onsite microclimate measurement, metered data, architectural drawings and official documents, and onsite surveys. Parametric sensitivity analyses were then conducted to quantify the importance of ten selected parameters from five types of ESMs. Results indicate that fan efficiency and cooling setpoint temperature had the most significant energy-saving potential. The base case of the ESMs in use was considered as the base scenario. Two new scenarios were proposed to examine the range of total energy consumption by adopting the most and least energy-efficient ESMs, which were referred to as the “optimistic scenario” and the “pessimistic scenario”. The maximum reduction/increase in energy use is expected to be approximately 13.2%/39.3% for the optimistic/pessimistic scenario compared to the base scenario. The findings on the sensitivities and scenarios contribute to a more comprehensive understanding of the critical parameters that influence energy use in high-rise office buildings in subtropical climate. The findings also provide scenario-based design solutions for delivering low-energy office buildings.
Sensitivities of energy use reduction in subtropical high-rise office buildings: A Hong Kong case
https://orcid.org/0000-0002-2660-131X
https://orcid.org/0000-0002-2720-3073
Highlights One-year microclimate was measured on the rooftop of a 26-storey office building. Multiple methods were used to validate energy model of high-rise office buildings. Fan efficiency and cooling setpoint were found to mostly affect building energy use. Envelope, orientation and window blind had modest impact on building energy use. Total building energy use can vary by 60% by using various energy saving measures.
Abstract Office buildings are a major contributor to energy consumption in high-density urban contexts where building high-rises is a norm. It is important to understand the parameters affecting high-rise office buildings’ energy consumption. However, previous research generally used isolated buildings as target buildings, regardless of the impact brought by the surrounding buildings. Also, there lacked a comprehensive calibration method to validate the energy baseline model. This paper aims to quantitatively analyse the energy use in high-rise office buildings by tackling these two issues and examining the impacts of various energy-saving measures (ESMs). A real-life 26-story office building in Hong Kong was selected as a base case. Multiple methods were used to calibrate the building energy model, including onsite microclimate measurement, metered data, architectural drawings and official documents, and onsite surveys. Parametric sensitivity analyses were then conducted to quantify the importance of ten selected parameters from five types of ESMs. Results indicate that fan efficiency and cooling setpoint temperature had the most significant energy-saving potential. The base case of the ESMs in use was considered as the base scenario. Two new scenarios were proposed to examine the range of total energy consumption by adopting the most and least energy-efficient ESMs, which were referred to as the “optimistic scenario” and the “pessimistic scenario”. The maximum reduction/increase in energy use is expected to be approximately 13.2%/39.3% for the optimistic/pessimistic scenario compared to the base scenario. The findings on the sensitivities and scenarios contribute to a more comprehensive understanding of the critical parameters that influence energy use in high-rise office buildings in subtropical climate. The findings also provide scenario-based design solutions for delivering low-energy office buildings.
Sensitivities of energy use reduction in subtropical high-rise office buildings: A Hong Kong case
https://orcid.org/0000-0002-2660-131X
https://orcid.org/0000-0002-2720-3073
Highlights One-year microclimate was measured on the rooftop of a 26-storey office building. Multiple methods were used to validate energy model of high-rise office buildings. Fan efficiency and cooling setpoint were found to mostly affect building energy use. Envelope, orientation and window blind had modest impact on building energy use. Total building energy use can vary by 60% by using various energy saving measures.
Abstract Office buildings are a major contributor to energy consumption in high-density urban contexts where building high-rises is a norm. It is important to understand the parameters affecting high-rise office buildings’ energy consumption. However, previous research generally used isolated buildings as target buildings, regardless of the impact brought by the surrounding buildings. Also, there lacked a comprehensive calibration method to validate the energy baseline model. This paper aims to quantitatively analyse the energy use in high-rise office buildings by tackling these two issues and examining the impacts of various energy-saving measures (ESMs). A real-life 26-story office building in Hong Kong was selected as a base case. Multiple methods were used to calibrate the building energy model, including onsite microclimate measurement, metered data, architectural drawings and official documents, and onsite surveys. Parametric sensitivity analyses were then conducted to quantify the importance of ten selected parameters from five types of ESMs. Results indicate that fan efficiency and cooling setpoint temperature had the most significant energy-saving potential. The base case of the ESMs in use was considered as the base scenario. Two new scenarios were proposed to examine the range of total energy consumption by adopting the most and least energy-efficient ESMs, which were referred to as the “optimistic scenario” and the “pessimistic scenario”. The maximum reduction/increase in energy use is expected to be approximately 13.2%/39.3% for the optimistic/pessimistic scenario compared to the base scenario. The findings on the sensitivities and scenarios contribute to a more comprehensive understanding of the critical parameters that influence energy use in high-rise office buildings in subtropical climate. The findings also provide scenario-based design solutions for delivering low-energy office buildings.
Sensitivities of energy use reduction in subtropical high-rise office buildings: A Hong Kong case
Yu, Cong (author) / Pan, Wei (author) / Bai, Yefei (author)
Energy and Buildings ; 311
2024-03-25
Article (Journal)
Electronic Resource
English
Energy-saving measure , High-rise office building , Energy modelling , Building energy use , Low energy building , ESM , Energy-saving measures , EUI , Energy use intensity , HVAC , Heating, ventilation, and air conditioning , GFA , Gross floor area , TMY , typical meteorological year , AC , air conditioning , FCU , fan coil unit , VRF , variable refrigerator flow , SC , shading coefficient , VLT , visible light transmission , BMS , building management system , MBE , Mean Bias Error , CVRMSE , Coefficient of Variation of Root Mean Square Error , SHGC , solar heat gain coefficient , COP , coefficients of performance , LPD , Lighting Power Density
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