A study on the estimation of energy consumption rate of accommodation buildings - Analysis based on survey data in 2009 fiscal year on the database of energy consumption for commercial buildings (DECC): Part 2

Yorimasa Iki; Satoshi Sudo; Hiroshi Yoshino; Shuzo Murakami; Kazuaki Bogaki; Katashi Matsunawa; Shigeki Kametani; Hiroto Takaguchi; Hisashi Hanzawa; Masaya Okumiya; Yoshiharu Asano; Yoshiyuki Shimoda; Saburo Murakawa; Hirotoshi Yoda; Hideki Tanaka; Yukihiro Masuda

doi:10.3130/aije.78.45

A study on the estimation of energy consumption rate of accommodation buildings - Analysis based on survey data in 2009 fiscal year on the database of energy consumption for commercial buildings (DECC): Part 2

Yorimasa Iki, Satoshi Sudo, Hiroshi Yoshino, Shuzo Murakami, Kazuaki Bogaki, Katashi Matsunawa, Shigeki Kametani, Hiroto Takaguchi, Hisashi Hanzawa, Masaya Okumiya, Yoshiharu Asano, Yoshiyuki Shimoda, Saburo Murakawa, Hirotoshi Yoda, Hideki Tanaka, Yukihiro Masuda

School of Creative Science and Engineering

Research output: Contribution to journal › Review article › peer-review

2 Citations (Scopus)

Abstract

In this study we aimed to identify characteristics of energy consumption of accommodation building by drawing on 2009 fiscal year of DECC survey data. Conducting statistical analysis on the base-load and the fluctuation-load on a national scale derived from patterns of variation in the monthly energy consumption, we obtained estimation equations for energy consumption rate. To determine the base-load rate, we focused on differences between heat-generation equipments in the accommodation buildings and classified them into three categories: electrical, fuel-based, and electric-fuel hybrid. We then carried out the multiple regression analysis for each category. As a result, we obtained accurate estimation equations for the electrical and the fuel-based heat-generation equipments. And to determine the summer and the winter fluctuation-load rate, we were able to obtain accurate estimation equations using the multiple regression analysis.

Original language	English
Pages (from-to)	45-54
Number of pages	10
Journal	Journal of Environmental Engineering (Japan)
Volume	78
Issue number	683
DOIs	https://doi.org/10.3130/aije.78.45
Publication status	Published - 2013 Jan

Keywords

Accommodation Building
Base-Load
Energy Consumption Rate
Estimation Equation
Fluctuation-Load
Multiple Regression Analysis

ASJC Scopus subject areas

Environmental Engineering

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Iki, Y., Sudo, S., Yoshino, H., Murakami, S., Bogaki, K., Matsunawa, K., Kametani, S., Takaguchi, H., Hanzawa, H., Okumiya, M., Asano, Y., Shimoda, Y., Murakawa, S., Yoda, H., Tanaka, H., & Masuda, Y. (2013). A study on the estimation of energy consumption rate of accommodation buildings - Analysis based on survey data in 2009 fiscal year on the database of energy consumption for commercial buildings (DECC): Part 2. Journal of Environmental Engineering (Japan), 78(683), 45-54. https://doi.org/10.3130/aije.78.45

A study on the estimation of energy consumption rate of accommodation buildings - Analysis based on survey data in 2009 fiscal year on the database of energy consumption for commercial buildings (DECC): Part 2. / Iki, Yorimasa; Sudo, Satoshi; Yoshino, Hiroshi et al.
In: Journal of Environmental Engineering (Japan), Vol. 78, No. 683, 01.2013, p. 45-54.

Research output: Contribution to journal › Review article › peer-review

Iki, Y, Sudo, S, Yoshino, H, Murakami, S, Bogaki, K, Matsunawa, K, Kametani, S, Takaguchi, H, Hanzawa, H, Okumiya, M, Asano, Y, Shimoda, Y, Murakawa, S, Yoda, H, Tanaka, H & Masuda, Y 2013, 'A study on the estimation of energy consumption rate of accommodation buildings - Analysis based on survey data in 2009 fiscal year on the database of energy consumption for commercial buildings (DECC): Part 2', Journal of Environmental Engineering (Japan), vol. 78, no. 683, pp. 45-54. https://doi.org/10.3130/aije.78.45

Iki Y, Sudo S, Yoshino H, Murakami S, Bogaki K, Matsunawa K et al. A study on the estimation of energy consumption rate of accommodation buildings - Analysis based on survey data in 2009 fiscal year on the database of energy consumption for commercial buildings (DECC): Part 2. Journal of Environmental Engineering (Japan). 2013 Jan;78(683):45-54. doi: 10.3130/aije.78.45

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abstract = "In this study we aimed to identify characteristics of energy consumption of accommodation building by drawing on 2009 fiscal year of DECC survey data. Conducting statistical analysis on the base-load and the fluctuation-load on a national scale derived from patterns of variation in the monthly energy consumption, we obtained estimation equations for energy consumption rate. To determine the base-load rate, we focused on differences between heat-generation equipments in the accommodation buildings and classified them into three categories: electrical, fuel-based, and electric-fuel hybrid. We then carried out the multiple regression analysis for each category. As a result, we obtained accurate estimation equations for the electrical and the fuel-based heat-generation equipments. And to determine the summer and the winter fluctuation-load rate, we were able to obtain accurate estimation equations using the multiple regression analysis.",

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AU - Kametani, Shigeki

AU - Takaguchi, Hiroto

AU - Hanzawa, Hisashi

AU - Okumiya, Masaya

AU - Asano, Yoshiharu

AU - Shimoda, Yoshiyuki

AU - Murakawa, Saburo

AU - Yoda, Hirotoshi

AU - Tanaka, Hideki

AU - Masuda, Yukihiro

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AB - In this study we aimed to identify characteristics of energy consumption of accommodation building by drawing on 2009 fiscal year of DECC survey data. Conducting statistical analysis on the base-load and the fluctuation-load on a national scale derived from patterns of variation in the monthly energy consumption, we obtained estimation equations for energy consumption rate. To determine the base-load rate, we focused on differences between heat-generation equipments in the accommodation buildings and classified them into three categories: electrical, fuel-based, and electric-fuel hybrid. We then carried out the multiple regression analysis for each category. As a result, we obtained accurate estimation equations for the electrical and the fuel-based heat-generation equipments. And to determine the summer and the winter fluctuation-load rate, we were able to obtain accurate estimation equations using the multiple regression analysis.

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A study on the estimation of energy consumption rate of accommodation buildings - Analysis based on survey data in 2009 fiscal year on the database of energy consumption for commercial buildings (DECC): Part 2

Abstract

Keywords

ASJC Scopus subject areas

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