Stochastic characteristics of thermal load in a single dwelling in a residential building based on building energy simulation coupled with a sub-model for considering variation in behavior schedules of residents

Aya Hagishima; Jun Tanimoto; Naoki Ikegaya; Seijiro Mitsuyasu

Stochastic characteristics of thermal load in a single dwelling in a residential building based on building energy simulation coupled with a sub-model for considering variation in behavior schedules of residents

Aya Hagishima, Jun Tanimoto, Naoki Ikegaya, Seijiro Mitsuyasu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The stochastic characteristics of the heating/cooling load of a dwelling in a residential building were investigated using time-series data estimated by Total Utility Demand Prediction System TUD-PS which can predict utility demand such as air-conditioning loads considering the time-varying behavior schedule of residents. The simulation results for 16 cases of different conditions of family type and dwelling indicates the universality of the probability density functions of heating/cooling load.

Original language	English
Title of host publication	Proceedings of BS 2013: 13th Conference of the International Building Performance Simulation Association
Pages	1446-1450
Number of pages	5
Publication status	Published - 2013
Event	13th Conference of the International Building Performance Simulation Association, BS 2013 - Chambery, France Duration: Aug 26 2013 → Aug 28 2013

Other

Other	13th Conference of the International Building Performance Simulation Association, BS 2013
Country/Territory	France
City	Chambery
Period	8/26/13 → 8/28/13

All Science Journal Classification (ASJC) codes

Civil and Structural Engineering
Building and Construction
Modelling and Simulation

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Hagishima, A., Tanimoto, J., Ikegaya, N., & Mitsuyasu, S. (2013). Stochastic characteristics of thermal load in a single dwelling in a residential building based on building energy simulation coupled with a sub-model for considering variation in behavior schedules of residents. In Proceedings of BS 2013: 13th Conference of the International Building Performance Simulation Association (pp. 1446-1450)

Stochastic characteristics of thermal load in a single dwelling in a residential building based on building energy simulation coupled with a sub-model for considering variation in behavior schedules of residents. / Hagishima, Aya ; Tanimoto, Jun ; Ikegaya, Naoki et al.

Proceedings of BS 2013: 13th Conference of the International Building Performance Simulation Association. 2013. p. 1446-1450.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Hagishima, A , Tanimoto, J , Ikegaya, N & Mitsuyasu, S 2013, Stochastic characteristics of thermal load in a single dwelling in a residential building based on building energy simulation coupled with a sub-model for considering variation in behavior schedules of residents. in Proceedings of BS 2013: 13th Conference of the International Building Performance Simulation Association. pp. 1446-1450, 13th Conference of the International Building Performance Simulation Association, BS 2013, Chambery, France, 8/26/13.

Hagishima A , Tanimoto J , Ikegaya N, Mitsuyasu S. Stochastic characteristics of thermal load in a single dwelling in a residential building based on building energy simulation coupled with a sub-model for considering variation in behavior schedules of residents. In Proceedings of BS 2013: 13th Conference of the International Building Performance Simulation Association. 2013. p. 1446-1450

Hagishima, Aya ; Tanimoto, Jun ; Ikegaya, Naoki et al. / Stochastic characteristics of thermal load in a single dwelling in a residential building based on building energy simulation coupled with a sub-model for considering variation in behavior schedules of residents. Proceedings of BS 2013: 13th Conference of the International Building Performance Simulation Association. 2013. pp. 1446-1450

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abstract = "The stochastic characteristics of the heating/cooling load of a dwelling in a residential building were investigated using time-series data estimated by Total Utility Demand Prediction System TUD-PS which can predict utility demand such as air-conditioning loads considering the time-varying behavior schedule of residents. The simulation results for 16 cases of different conditions of family type and dwelling indicates the universality of the probability density functions of heating/cooling load.",

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Stochastic characteristics of thermal load in a single dwelling in a residential building based on building energy simulation coupled with a sub-model for considering variation in behavior schedules of residents

Abstract

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All Science Journal Classification (ASJC) codes

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