Simulation models for the analysis of space heat consumption of buildings

Daniela Popescu, Florina Ungureanu and Abel Hernández-Guerrero

Energy, 2009, vol. 34, issue 10, 1447-1453

Abstract: This study develops and analyzes an original methodology for the simulation and prediction of space heating energy consumption in buildings connected to a district heating system, characterized by lack of individual control systems for end-users. The identification of the input parameters is based on both classical engineering equations and statistical analysis of collected data. Two main factors play important roles in the model: (i) climate and (ii) human behavior. Model validation was undertaken through the analysis of field data collected during the winter, via a monitoring system working in a partially-controlled district heating system. The comparison between the results obtained with the proposed model versus classical methods points out the possibility to implement, using the proposed methodology, management policies for a district that offer significant cost-effective energy savings opportunities.

Keywords: District heating systems; Simulation model; Artificial neural networks models; Prediction; Energy savings (search for similar items in EconPapers)
Date: 2009
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Citations: View citations in EconPapers (17)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:34:y:2009:i:10:p:1447-1453

DOI: 10.1016/j.energy.2009.05.035

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