Passive building characteristics, and summertime residential energy use: A spatial analysis of energy efficiency in Gainesville, FL

Douthat, Thomas; Morgan, John D.; Alibašić, Haris; Grant, Aneurin

doi:10.1016/j.buildenv.2019.106542

Cited by 16 publications

(14 citation statements)

References 53 publications

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“…The third factor affecting electricity consumption was the horizontal density of buildings throughout the year. These findings were broadly in line with previous researches, which indicated that floor area [5,10], year of construction [10][11][12], vegetation [6], and density of buildings [12] influenced the energy usage of a building. The low percentage of LST on gas consumption could be due to the fact that in the second half of the year in Kerman there was no significant temperature difference between different periods.…”

Section: Resultssupporting

confidence: 92%

“…The normalized area of buildings that fell into a 200 m buffer around each selected building was considered as the horizontal density. each building [6], the presence of shadows [7], and the density of the urban environment [8] are among the most important spatial factors that affect the energy consumption of a building.…”

Section: Datamentioning

confidence: 99%

“…In another study, the height changes and urban morphology in 150 m buffers around each building were considered as spatial factors [5]. The amount of vegetation around each building [6],…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Investigating the Relative Importance of Spatial and Environmental Factors on Energy Consumption in the Residential Sectors Using GIS (Case Study: Kerman)

Sajadian

Niazmardi

Argany

et al. 2022

The 3rd Built Environment Research Forum

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A large number of factors affect the energy consumption of a building. These factors can be categorized into building-related and space-related factors. The purpose of this study was to use the geospatial information system (GIS) to estimate and analyze the relative importance of factors within either group to model the gas and electricity consumption of several randomly selected residential buildings in the city of Kerman, Iran. The considered building-related factors were age, area, and price of the building, and the space-related factors were elevation, vegetation cover, and land surface temperature. The results showed that the area, elevation, and vegetation cover were the most important factors for gas consumption, while the age of the building and the land surface temperature affected the electricity consumption more than others.

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Section: Resultssupporting

confidence: 92%

Section: Datamentioning

confidence: 99%

See 1 more Smart Citation

Investigating the Relative Importance of Spatial and Environmental Factors on Energy Consumption in the Residential Sectors Using GIS (Case Study: Kerman)

Sajadian

Niazmardi

Argany

et al. 2022

The 3rd Built Environment Research Forum

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“…These traditional stilt dwellings have the innate function of adapting to local climate [43]. Passive design is a key feature used to satisfy the daily requirements of residents [44,45]. However, some traditional functional spaces cannot satisfy the needs of modern life [46,47].…”

Section: Discussionmentioning

confidence: 99%

Comprehensive Assessment of Thermal Comfort and Indoor Environment of Traditional Historic Stilt House, a Case of Dong Minority Dwelling, China

Jin

Zhang

2021

Sustainability

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The stilt house is one of the most representative of Chinese architecture among national minority traditional dwellings, most of which are located in mountainous regions whose climate is characterized by hot summers and cold winters. Moreover, it is widely distributed in Southeast Asian countries, such as Thailand, Laos, Cambodia, etc., as well as tropics like Hawaii, Guam. These kinds of dwellings have unique architectural aesthetics as well as high climate adaptability. However, because of their remote locations and rapid disappearance in urbanization, few studies have focused on their real indoor environment and thermal comfort. More studies were engaged in their architectural aesthetics and space patterns. In this study, based on the measurement and evaluation of residential natural lighting, ventilation, air quality, and thermal comfort in traditional stilt Dong village houses, the air temperature, humidity, CO2 and PM2.5 concentrations, wind speed, direction, and other variables are monitored and analyzed. Results show that the inhabitants have a higher thermal comfort adaptation than urban residents under natural ventilation. Meanwhile, the humidity of Dong stilt dwelling can reach a satisfactory level within 24 h except for the morning period. The satisfaction of the acoustic environment needs to be improved via reasonable structural maintenance.

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“…Large natural surfaces in urban areas have been replaced by construction materials, such as asphalt for roads and concrete for buildings, increasing air and surface temperatures and resulting in the urban heat island (UHI) phenomenon [3]. Albedos are involved in radiative heat exchanges and tie the urban climate to the surface cover [4,5], and their modification (e.g., cool roof) as a strategy to mitigate UHI effect has been widely studied [6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Narrow-to-Broadband Conversion for Albedo Estimation on Urban Surfaces by UAV-Based Multispectral Camera

Asawa

Kobayashi

2020

Remote Sensing

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Urban surface albedo is important for investigating urban surface–atmosphere radiative heat exchanges. For modeling surface energy balance (SEB) at local and neighborhood scales, ground or unmanned aerial vehicle (UAV)-based multispectral remote sensing (RS) can be used to obtain high-spatial-resolution multispectral information for both horizontal and vertical urban surfaces. The existing narrow-to-broadband (NTB) conversion models, developed for satellite/high-altitude observation and large homogeneous rural/vegetated/snow zones, may not be suitable for downscaling to the local and neighborhood scales or the urban complex texture. We developed three NTB models following published methodologies for three common UAV-based multispectral cameras according to Sample_D, a sample group of extensive spectral albedos of artificial urban surfaces, and evaluated their performance and sensitivities to solar conditions and surface material class. The proposed models were validated with independent samples (Sample_V). A model considering albedo physics was improved by multiplying different variables with respect to the camera (termed as “Model_phy_reg”), which initially proved to be the most accurate with a root mean square error of up to 0.02 for Sample_D and approximately 0.029 for Sample_V, meeting the required accuracy of total shortwave albedo for SEB modeling. The accuracy of Model_phy_reg was not much prone to the solar conditions.

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Passive building characteristics, and summertime residential energy use: A spatial analysis of energy efficiency in Gainesville, FL

Cited by 16 publications

References 53 publications

Investigating the Relative Importance of Spatial and Environmental Factors on Energy Consumption in the Residential Sectors Using GIS (Case Study: Kerman)

Investigating the Relative Importance of Spatial and Environmental Factors on Energy Consumption in the Residential Sectors Using GIS (Case Study: Kerman)

Comprehensive Assessment of Thermal Comfort and Indoor Environment of Traditional Historic Stilt House, a Case of Dong Minority Dwelling, China

Narrow-to-Broadband Conversion for Albedo Estimation on Urban Surfaces by UAV-Based Multispectral Camera

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