2011 Fiscal Year Final Research Report
Development of Methodology for Utility Demand Prediction Considering Actual Variations in Inhabitant Behavior Schedules
| Project/Area Number |
20686040
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| Research Category |
Grant-in-Aid for Young Scientists (A)
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| Allocation Type | Single-year Grants |
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| Research Field |
Architectural environment/equipment
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| Research Institution | Kyushu University |
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Principal Investigator |
HAGISHIMA Aya 九州大学, 大学院・総合理工学研究院, 准教授 (60294980)
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| Project Period (FY) |
2008 – 2011
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| Keywords | 空調負荷 / 生活スケジュール / 熱負荷計算 / 空調エネルギー消費 |
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| Research Abstract |
Total Utility Demand Prediction System, TUD-PS was established to predict utility demand such as electricity, gas, hot water and air-conditioning load, on a basis of time-varying inhabitants' behavior schedule. In addition, the stochastic characteristics of heating/cooling load of a dwelling in a residential building were investigated based on time-series data estimated by TUD-PS. The analysis indicates that probability density distributions of heating/cooling load normalized by the average for various types of dwelling and family type shows a similar tendency, and optimizing parameters of Erlang distribution were presented.
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