Probability Density Function of Cooling/Heating Load in a Single Dwelling in a Residential Building Estimated by Total Utility Demand Prediction System TUD-PS Considering Variation in the Behavior Schedules of Residents

  • HAGISHIMA Aya
    Interdisciplinary Graduate School of Engineering Sciences, Kyushu University
  • TANIMOTO Jun
    Interdisciplinary Graduate School of Engineering Sciences, Kyushu University
  • IKEGAYA Naoki
    Interdisciplinary Graduate School of Engineering Sciences, Kyushu University
  • MITSUYASU Seijiro
    Interdisciplinary Graduate School of Engineering Sciences, Kyushu University

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Other Title
  • 生活スケジュールの多様性を考慮した負荷計算に基づく集合住宅の熱負荷の確率密度関数
  • セイカツ スケジュール ノ タヨウセイ オ コウリョ シタ フカ ケイサン ニ モトズク シュウゴウ ジュウタク ノ ネツフカ ノ カクリツ ミツド カンスウ

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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 electricity, gas, hot water and air-conditioning loads on the basis of the time-varying behavior schedule of residents. The analysis indicates that the probability density distributions of heating/cooling load normalized by the average for various dwelling and family types shows a similar tendency, and optimizing parameters of Erlang distribution are presented.

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