Total utility demand prediction based on probabilistically generated behaviroal schedules of actural inhabitants

研究成果: 著書/レポートタイプへの貢献会議での発言

抄録

This paper describes a new methodology in calculating accurately the time series utility loads (energy, power, city water, hot water, etc.) in a dwelling. This calculation takes into account the behavioral variations of the dwelling inhabitants. The proposed method contains a procedure for cooling load calculations based on a series of Monte Carlo simulations where the HVAC on/off state and the indoor heat generation schedules are varied, time-step by time-step. A data set of time-varying inhabitant behavior schedules, with a 15 minute resolution, generated by the authors in previous studies and validated by a comparison analysis to several field measurement data sets, was integrated into the model. The established model, which is called the Total Utility Demand Prediction System (TUD-PS) can be applied to, for example, accurate estimation of an integrated space maximum requirement, such as the total load of a building or an urban area. In a series of numerical experiments, huge discrepancies were found between the conventional results and those considering the time-varying inhabitant behavior schedules. In particular, deriving the dynamic state change, of having the HVAC on/off from the inhabitant's schedules, was found to be a significant factor in the maximum cooling and heating loads.

元の言語英語
ホスト出版物のタイトルIBPSA 2009 - International Building Performance Simulation Association 2009
ページ521-528
ページ数8
出版物ステータス出版済み - 2009
イベント11th International IBPSA Conference - Building Simulation 2009, BS 2009 - Glasgow, 英国
継続期間: 7 27 20077 30 2007

その他

その他11th International IBPSA Conference - Building Simulation 2009, BS 2009
英国
Glasgow
期間7/27/077/30/07

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Schedule
Prediction
Cooling
Time-varying
Heat generation
Dynamic loads
Water
Series
Time series
Urban Areas
Discrepancy
Heating
Monte Carlo Simulation
Heat
Numerical Experiment
Demand
Methodology
Requirements
Energy
Experiments

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Building and Construction
  • Architecture
  • Modelling and Simulation

これを引用

Tanimoto, J., & Hagishima, A. (2009). Total utility demand prediction based on probabilistically generated behaviroal schedules of actural inhabitants. : IBPSA 2009 - International Building Performance Simulation Association 2009 (pp. 521-528)

Total utility demand prediction based on probabilistically generated behaviroal schedules of actural inhabitants. / Tanimoto, Jun; Hagishima, Aya.

IBPSA 2009 - International Building Performance Simulation Association 2009. 2009. p. 521-528.

研究成果: 著書/レポートタイプへの貢献会議での発言

Tanimoto, J & Hagishima, A 2009, Total utility demand prediction based on probabilistically generated behaviroal schedules of actural inhabitants. : IBPSA 2009 - International Building Performance Simulation Association 2009. pp. 521-528, 11th International IBPSA Conference - Building Simulation 2009, BS 2009, Glasgow, 英国, 7/27/07.
Tanimoto J, Hagishima A. Total utility demand prediction based on probabilistically generated behaviroal schedules of actural inhabitants. : IBPSA 2009 - International Building Performance Simulation Association 2009. 2009. p. 521-528
Tanimoto, Jun ; Hagishima, Aya. / Total utility demand prediction based on probabilistically generated behaviroal schedules of actural inhabitants. IBPSA 2009 - International Building Performance Simulation Association 2009. 2009. pp. 521-528
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