## 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.

本文言語 | 英語 |
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ページ | 521-528 |

ページ数 | 8 |

出版ステータス | 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月 27 2007 → 7月 30 2007 |

### その他

その他 | 11th International IBPSA Conference - Building Simulation 2009, BS 2009 |
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国/地域 | 英国 |

City | Glasgow |

Period | 7/27/07 → 7/30/07 |

## !!!All Science Journal Classification (ASJC) codes

- コンピュータ サイエンスの応用
- 建築および建設
- 建築
- モデリングとシミュレーション