Total utility demand prediction for multi-dwelling sites by a bottom-up approach considering variations of inhabitants' behaviour schedules

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

This article reports systematic case studies based on a Total Utility Demand Prediction System presented in the authors' previous works, in which one can follow a bottom-up approach to accurately calculate the time series utility loads (energy, power, city water, hot water, etc.) for multi-dwelling systems, including residential buildings, residential block areas and even an entire city. This calculation considers the behavioural variations of the inhabitants of the dwellings. In the case studies, we assumed a residential building consisting of 100 independent dwellings to accurately predict various peak demands and seasonal or annual demands. A series of simulations reveals that considering time-varying inhabitant behaviour schedules significantly affects the peak loads. Hence, HVAC COP, inhabitants' age and their family type significantly influence the peak loads and their accurate time-series.

Original languageEnglish
Pages (from-to)53-64
Number of pages12
JournalJournal of Building Performance Simulation
Volume6
Issue number1
DOIs
Publication statusPublished - Jan 1 2012

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Bottom-up
Time series
Schedule
Prediction
Dynamic loads
Water
Building Blocks
Annual
Time-varying
Entire
Calculate
Predict
Series
Energy
Demand
Simulation
HVAC

All Science Journal Classification (ASJC) codes

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

Cite this

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