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Numerical and experimental assessment of the energy performance of a multi-zone building with the use of transient detailed models

Boekbijdrage - Boekhoofdstuk Conferentiebijdrage

Residential buildings claim a significant share of the total energy used worldwide. As such, energy performance policies for dwellings are becoming more rigorous with every new amendment. In order to face these challenges, increased attention is paid to the analysis of the energy use by buildings and building systems. Specifically, part-load operation, optimal energy use and integration of renewable energy resources are being investigated. For these purposes, custom-made building simulation software packages are being employed. On the other hand, in order to model the performance that is close to reality, typically large amount of calibration data is needed. However, obtaining these large spans of accurate experimental data, as well as many other input parameters, is seen difficult to achieve. A case study is presented on a residential detached building with a typical modern construction structure in the city of Holzkirchen, Germany. The heating system is composed out of an air to water heat pump coupled with the low-temperature underfloor heating system and domestic hot water demand with the known rated capacity. The simulation is programmed by using the programming language Modelica in the Dymola software environment. The performance of the system is continuously monitored on a minute base during the winter season for the local boundary conditions of Holzkirchen. The goal of this paper is twofold. First, the work assesses the accuracy of performance indicators if only limited information on the actual heating system design is given. Secondly, the functionality of the models is verified both for the models used from the open-source libraries and new models that were developed as a necessity to comply with the full design of the installation.
Boek: 33rd International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2020)
Aantal pagina's: 1
ISBN:9781713814061
Jaar van publicatie:2020
Toegankelijkheid:Open