Data-driven estimation of parametric uncertainty of reduced order RC models for building climate control

Autor: Anke Uytterhoeven, Ina De Jaeger, Kenneth Bruninx, Dirk Saelens, Lieve Helsen

Current model predictive control (MPC) applications for residential space heating typically rely upon accurate building models, obtained via extensive data acquisition and/or experts’ knowledge. However, in the context of older residential building

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c73bbb0b66182674d2feb93cb5db959d
https://lirias.kuleuven.be/handle/123456789/680131

Evaluating different metrics for inter-model comparison of urban-scale building energy simulation time series

Autor: Hicham Johra, Michael Mans, Konstantin Filonenko, Ina De Jaeger, Dirk Saelens, Torben Tvedebrink

Publikováno v: Aalborg University
Johra, H, Mans, M, Filonenko, K, De Jaeger, I, Saelens, D & Tvedebrink, T 2021, Evaluating different metrics for inter-model comparison of urban-scale building energy simulation time series . in Proceedings of Building Simulation 2021: 17th Conference of International Building Performance Simulation Association. Bruges, Belgium, 1-3 September 2021 . vol. 17, 30410, IBPSA, IBPSA Building Simulation 2021, Bruges + Virtual, Belgium, 01/09/2021 . https://doi.org/10.26868/25222708.2021.30410
Johra, H, Mans, M, Filonenko, K, De Jaeger, I, Saelens, D & Tvedebrink, T 2021, Evaluating different metrics for inter-model comparison of urban-scale building energy simulation time series . in Proceedings of Building Simulation 2021: 17th Conference of International Building Performance Simulation Association. Bruges, Belgium, 1-3 September 2021 . vol. 17, 30410, IBPSA, pp. 1556-1563, IBPSA Building Simulation 2021, Bruges + Virtual, Belgium, 01/09/2021 . https://doi.org/10.26868/25222708.2021.30410

This article discusses different statistical methods to compare the predictions (in the form of time series) of urban-scale building energy models. It focuses on inter-model comparison without empirical measurements as a reference case. It is thus su

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::617eb6bc5dc6cf5e81338615200ad0a1
https://doi.org/10.26868/25222708.2021.30410

Analysis of Building Parameter Uncertainty in District Heating for Optimal Control of Network Flexibility

Autor: Dirk Saelens, Ina De Jaeger, Annelies Vandermeulen, Tijs Van Oevelen, Lieve Helsen

Publikováno v: Energies, Vol 13, Iss 6220, p 6220 (2020)
Energies
Volume 13
Issue 23

Network flexibility is the use of the thermal capacity of water that is contained in the district heating network pipes to store energy and shift the heat load in time. Through optimal control, this network flexibility can aid in applications such as

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac647c9de0301be50bfdb8d0ca5fb1b6
https://lirias.kuleuven.be/handle/123456789/664758

Quantifying Uncertainty Propagation For The District Energy Demand Using Realistic Variations On Input Data

Autor: Ina De Jaeger, Glenn Reynders, Dirk Saelens

Publikováno v: Building Simulation Conference proceedings.

ispartof: pages:1-9 ispartof: BS'2019 pages:1-9 ispartof: Building Simulation Conference 2019 location:Rome date:2 Sep - 4 Sep 2019 status: published

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8945eb3baeae808bb289374c8c4e64dd
https://doi.org/10.26868/25222708.2019.210923

A Building Clustering Approach for Urban Energy Simulations

Autor: Ina De Jaeger, Glenn Reynders, Dirk Saelens, Chadija Callebaut

Within the context of amongst others urban energy planning and energy system design, urban and district energy simulations have gained interest to quantify the energy use of existing districts. To reduce calculation time and in absence of adequate de

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2192fb73cc6dc687ab75a7c847dbe2d6
https://lirias.kuleuven.be/handle/123456789/644101