Sustainability-Based Development of a Remote Technique to Assess the Effectiveness of Thermal Insulation in Households in West Virginia

As structures age, air leaks naturally form and can remain undetected for years, resulting in increased utility bills and, in severe cases, structural damage. The traditional method to determine if a structure has developed these leaks is through an energy audit, including blower door testing, which is costly and disturbs normal use of the building. A numerical approach to indicate the presence of air leaks, for instance, a simple mathematic formula requiring only simple building information available to any layman, would be of great value. Within this paper, a formula was developed for climate Zone 5 regions using multiple linear regression models to infer the presence of air leaks using only four input variables. To validate the model, this framework was applied to a series of 700–770 square foot (65.03–71.54 m2) apartment units in Morgantown, West Virginia, USA. The model was determined to be able to accurately estimate the energy consumption of a given unit within this size range with 20% accuracy, which can then be used to ascertain sub-optimal, and thus unsustainable, consumption of energy. This framework can be applied in additional climate zones to create a more robust and generally applicable formula.

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Publication Details

Journal
Sustainability
Published
2025-02-21
DOI
https://doi.org/10.3390/su17051845
Citations
1
Primary Topic
Building Energy and Comfort Optimization
Type
article
Field-Weighted Citation Impact
1.01
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article

Sustainability-Based Development of a Remote Technique to Assess the Effectiveness of Thermal Insulation in Households in West Virginia

Prateek Vaish, Ken Means, Bhaskaran Gopalakrishnan, Hailin Li et al.
1 citations
Sustainability
Building Energy and Comfort Optimization
1.01
article

Sustainability-Based Development of a Remote Technique to Assess the Effectiveness of Thermal Insulation in Households in West Virginia

Prateek Vaish, Ken Means, Bhaskaran Gopalakrishnan, Hailin Li, John James Recktenwald
article en
1 citations

Abstract

As structures age, air leaks naturally form and can remain undetected for years, resulting in increased utility bills and, in severe cases, structural damage. The traditional method to determine if a structure has developed these leaks is through an energy audit, including blower door testing, which is costly and disturbs normal use of the building. A numerical approach to indicate the presence of air leaks, for instance, a simple mathematic formula requiring only simple building information available to any layman, would be of great value. Within this paper, a formula was developed for climate Zone 5 regions using multiple linear regression models to infer the presence of air leaks using only four input variables. To validate the model, this framework was applied to a series of 700–770 square foot (65.03–71.54 m2) apartment units in Morgantown, West Virginia, USA. The model was determined to be able to accurately estimate the energy consumption of a given unit within this size range with 20% accuracy, which can then be used to ascertain sub-optimal, and thus unsustainable, consumption of energy. This framework can be applied in additional climate zones to create a more robust and generally applicable formula.

SustainabilityVol. 17(5)
West Virginia University (US)
Openalex Percentile: Top 28%
Building Energy and Comfort Optimization
1.01
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