Simplified model to predict the thermal demand profile of districts

•Simplified simulation tool was developed to predict the heating demand profile of a district.•The model considers the impact shading, internal heat generation, thermal mass on the load.•The model was applied to three different districts (residential, office and mixed).•Prediction of the model was v...

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Veröffentlicht in:Energy and buildings 2017-06, Vol.145, p.213-225
Hauptverfasser: Talebi, Behrang, Haghighat, Fariborz, Mirzaei, Parham A.
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container_end_page 225
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container_title Energy and buildings
container_volume 145
creator Talebi, Behrang
Haghighat, Fariborz
Mirzaei, Parham A.
description •Simplified simulation tool was developed to predict the heating demand profile of a district.•The model considers the impact shading, internal heat generation, thermal mass on the load.•The model was applied to three different districts (residential, office and mixed).•Prediction of the model was validated with the prediction made by a detailed simulation tool. Extensive research works have been carried out over the past few decades in the development of simulation tools to predict the thermal performance of buildings. These validated tools have been used in the design of the building and its components. However, limited simulation tools have been developed for modeling of district energy systems, which can potentially be a very laborious and time-consuming process. Besides many associated limitations, providing a realistic demand profile of the district energy systems is not a straightforward task due to high number of parameters involved in predicting a detail demand profile. This paper reports the development of a simplified model for predicting the thermal demand profile of a district heating system. The paper describes the method used to develop two types of simplified models to predict the thermal load of a variety of buildings (residential, office, attached, detached, etc.). The predictions were also compared with those made by the detailed simulation models. The simplified model was then utilized to predict the energy demand of a variety of districts types (residential, commercial or mix), and its prediction accuracy was compared with those made by detailed model: good agreement was observed between the results.
doi_str_mv 10.1016/j.enbuild.2017.03.062
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source ScienceDirect Journals (5 years ago - present)
subjects Buildings
Community
Computer simulation
Demand
Demand profile
District heating
District system
Energy consumption
Energy demand
Energy efficiency
Energy modeling
Heating
Mathematical models
Predictions
Residential areas
Residential buildings
Residential energy
Simulation tool
Simulators
Thermal analysis
title Simplified model to predict the thermal demand profile of districts
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