Comparative assessment of the energy performance index of modern urban and traditional rural housing in lower Himachal Pradesh, India to develop prediction model.
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| Title: | Comparative assessment of the energy performance index of modern urban and traditional rural housing in lower Himachal Pradesh, India to develop prediction model. |
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| Authors: | Sarkar, Amitava1 (AUTHOR) amitava.sarkar@spav.ac.in |
| Source: | Environment, Development & Sustainability. Jul2026, Vol. 28 Issue 7, p16777-16800. 24p. |
| Subject Terms: | *Energy consumption, *Prediction models, *Housing, *Regression analysis, *Rural housing |
| Geographic Terms: | India, Himachal Pradesh (India) |
| Abstract: | Due to the increasing rate of urbanization, in many towns of Himachal Pradesh in India, the building energy-footprint is increasing day by day. Hence, in this present study Energy Performance Index (EPI) of the traditional rural and modern urban houses located in and around Mandi – Sundernagar towns at Himachal Pradesh, India, having composite climate, are assessed based on the household energy consumption data for the year 2021 and 2022. The EPI plays a pivotal role as an indicator to assess the energy efficiency of different kind of buildings by setting up a practical holistic benchmark for building designers and other professionals to reduce and optimize the operating energy footprint of the buildings. Further, the effects and correlations of various influencing factors on the annual household energy consumption and EPI are also analyzed through regression analysis to develop empirical models for the prediction of future trend of household energy consumption pattern and EPI of the houses. The calculated average EPI value of modern houses is found as 39.24 kWh/m²/year (range: 29.43–50.53 kWh/m²/year). In contrast, average EPI value of traditional houses is calculated as 7.89 kWh/m²/year (range: 6.34–10.36 kWh/m²/year). The study shows that the mean total annual energy consumption of modern houses is 5.4 times higher than that of the traditional houses; the mean EPI of modern houses is 5 times higher than that of the traditional houses; and the mean EPI/person of modern houses is 5 times higher than that of the traditional houses in the study area. It is also observed from the comparative analysis that in the modern houses, monthly energy consumptions, EPI and EPI/person are higher than the traditional houses especially during winter and summer months due to the different construction practices. Linear multiple regression analysis has shown that total annual household energy consumption and EPI can be well predicted by the factors – floor area, annual average household income, and total number of different appliances. [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
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| Header | DbId: enr DbLabel: Energy & Power Source An: 194936961 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Comparative assessment of the energy performance index of modern urban and traditional rural housing in lower Himachal Pradesh, India to develop prediction model. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Sarkar%2C+Amitava%22">Sarkar, Amitava</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> amitava.sarkar@spav.ac.in</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Environment%2C+Development+%26+Sustainability%22">Environment, Development & Sustainability</searchLink>. Jul2026, Vol. 28 Issue 7, p16777-16800. 24p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Energy+consumption%22">Energy consumption</searchLink><br />*<searchLink fieldCode="DE" term="%22Prediction+models%22">Prediction models</searchLink><br />*<searchLink fieldCode="DE" term="%22Housing%22">Housing</searchLink><br />*<searchLink fieldCode="DE" term="%22Regression+analysis%22">Regression analysis</searchLink><br />*<searchLink fieldCode="DE" term="%22Rural+housing%22">Rural housing</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22India%22">India</searchLink><br /><searchLink fieldCode="DE" term="%22Himachal+Pradesh+%28India%29%22">Himachal Pradesh (India)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Due to the increasing rate of urbanization, in many towns of Himachal Pradesh in India, the building energy-footprint is increasing day by day. Hence, in this present study Energy Performance Index (EPI) of the traditional rural and modern urban houses located in and around Mandi – Sundernagar towns at Himachal Pradesh, India, having composite climate, are assessed based on the household energy consumption data for the year 2021 and 2022. The EPI plays a pivotal role as an indicator to assess the energy efficiency of different kind of buildings by setting up a practical holistic benchmark for building designers and other professionals to reduce and optimize the operating energy footprint of the buildings. Further, the effects and correlations of various influencing factors on the annual household energy consumption and EPI are also analyzed through regression analysis to develop empirical models for the prediction of future trend of household energy consumption pattern and EPI of the houses. The calculated average EPI value of modern houses is found as 39.24 kWh/m²/year (range: 29.43–50.53 kWh/m²/year). In contrast, average EPI value of traditional houses is calculated as 7.89 kWh/m²/year (range: 6.34–10.36 kWh/m²/year). The study shows that the mean total annual energy consumption of modern houses is 5.4 times higher than that of the traditional houses; the mean EPI of modern houses is 5 times higher than that of the traditional houses; and the mean EPI/person of modern houses is 5 times higher than that of the traditional houses in the study area. It is also observed from the comparative analysis that in the modern houses, monthly energy consumptions, EPI and EPI/person are higher than the traditional houses especially during winter and summer months due to the different construction practices. Linear multiple regression analysis has shown that total annual household energy consumption and EPI can be well predicted by the factors – floor area, annual average household income, and total number of different appliances. [ABSTRACT FROM AUTHOR] |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10668-024-05594-2 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 24 StartPage: 16777 Subjects: – SubjectFull: Energy consumption Type: general – SubjectFull: Prediction models Type: general – SubjectFull: Housing Type: general – SubjectFull: Regression analysis Type: general – SubjectFull: Rural housing Type: general – SubjectFull: India Type: general – SubjectFull: Himachal Pradesh (India) Type: general Titles: – TitleFull: Comparative assessment of the energy performance index of modern urban and traditional rural housing in lower Himachal Pradesh, India to develop prediction model. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Sarkar, Amitava IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 1387585X Numbering: – Type: volume Value: 28 – Type: issue Value: 7 Titles: – TitleFull: Environment, Development & Sustainability Type: main |
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