Total utility demand prediction for multi-dwelling sites considering variation of occupant behavior schedules

Research output: Contribution to conferencePaper

3 Citations (Scopus)

Abstract

Based on the authors' previous works, this paper describes a new methodology that uses a bottom-up approach for accurately calculating the time series utility loads (e.g., energy, power, city water, hot water, etc.) for multi-dwelling systems, including residential buildings, residential block areas, and even the entire city. This calculation considers the behavioral variations of the inhabitants of the dwellings. The proposed method constitutes a procedure for calculating cooling/ heating loads based on a series of Monte Carlo simulations where the HVAC on/off state and the indoor heat generation schedules are varied at a time interval. A data set of time-varying inhabitant behavior schedules with a 15-minute time resolution was integrated into the model. The established model, which is called the Total Utility Demand Prediction System (TUD-PS), was integrated to estimate a multi-dwelling system, where we can accurately predict various peak demands and seasonal or annual demands. By applying this method to a typical residential building, we highlighted several advantages of TUD-PS.

Original languageEnglish
Publication statusPublished - Dec 1 2011
Event12th Conference of International Building Performance Simulation Association Building Simulation 2011, BS 2011 - Sydney, NSW, Australia
Duration: Nov 14 2011Nov 16 2011

Other

Other12th Conference of International Building Performance Simulation Association Building Simulation 2011, BS 2011
CountryAustralia
CitySydney, NSW
Period11/14/1111/16/11

Fingerprint

Schedule
Prediction
Heat generation
Dynamic loads
Water
Time series
Bottom-up
Building Blocks
Annual
Cooling
Heating
Time-varying
Monte Carlo Simulation
Heat
Entire
Predict
Interval
Series
Demand
Methodology

All Science Journal Classification (ASJC) codes

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

Cite this

Tanimoto, J., Hagishima, A., Iwai, T., & Ikegaya, N. (2011). Total utility demand prediction for multi-dwelling sites considering variation of occupant behavior schedules. Paper presented at 12th Conference of International Building Performance Simulation Association Building Simulation 2011, BS 2011, Sydney, NSW, Australia.

Total utility demand prediction for multi-dwelling sites considering variation of occupant behavior schedules. / Tanimoto, Jun; Hagishima, Aya; Iwai, Takeshi; Ikegaya, Naoki.

2011. Paper presented at 12th Conference of International Building Performance Simulation Association Building Simulation 2011, BS 2011, Sydney, NSW, Australia.

Research output: Contribution to conferencePaper

Tanimoto, J, Hagishima, A, Iwai, T & Ikegaya, N 2011, 'Total utility demand prediction for multi-dwelling sites considering variation of occupant behavior schedules' Paper presented at 12th Conference of International Building Performance Simulation Association Building Simulation 2011, BS 2011, Sydney, NSW, Australia, 11/14/11 - 11/16/11, .
Tanimoto J, Hagishima A, Iwai T, Ikegaya N. Total utility demand prediction for multi-dwelling sites considering variation of occupant behavior schedules. 2011. Paper presented at 12th Conference of International Building Performance Simulation Association Building Simulation 2011, BS 2011, Sydney, NSW, Australia.
Tanimoto, Jun ; Hagishima, Aya ; Iwai, Takeshi ; Ikegaya, Naoki. / Total utility demand prediction for multi-dwelling sites considering variation of occupant behavior schedules. Paper presented at 12th Conference of International Building Performance Simulation Association Building Simulation 2011, BS 2011, Sydney, NSW, Australia.
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