Validation of calibrated energy models: Common errors
Nowadays, there is growing interest in all the smart technologies that provide us with
information and knowledge about the human environment. In the energy field, thanks to the …
information and knowledge about the human environment. In the energy field, thanks to the …
[HTML][HTML] Use of optimised MLP neural networks for spatiotemporal estimation of indoor environmental conditions of existing buildings
M Martínez-Comesaña, A Ogando-Martínez… - Building and …, 2021 - Elsevier
Controlling the indoor environmental quality in real time is essential for the health, well-
being and productivity of occupants of a building. In recent years, research has focused on …
being and productivity of occupants of a building. In recent years, research has focused on …
A performance comparison of multi-objective optimization-based approaches for calibrating white-box building energy models
Abstract Building Energy Model (BEM) calibration is the process of reducing the gap
between the simulation outputs and the actual measured data at the same conditions. The …
between the simulation outputs and the actual measured data at the same conditions. The …
Cross-sectoral assessment of the performance gap using calibrated building energy performance simulation
The energy performance gap in buildings is a well-known phenomenon. However, its actual
definition and extent is dependent on the baseline used for defining the gap. In this paper a …
definition and extent is dependent on the baseline used for defining the gap. In this paper a …
Stressing the passive behavior of a Passivhaus: An evidence-based scenario analysis for a Mediterranean case study
This paper first reports the outcomes of a one-year measurement campaign of a passive
house built in the Mediterranean climate of Cesena (Italy) in terms of thermal comfort …
house built in the Mediterranean climate of Cesena (Italy) in terms of thermal comfort …
Performance testing of energy models: are we using the right statistical metrics?
Testing the predictive performance of energy models (EMs) is necessary to evaluate their
accuracies. This paper investigates the adequacy of existing statistical metrics that are often …
accuracies. This paper investigates the adequacy of existing statistical metrics that are often …
Improved calibration of building models using approximate Bayesian calibration and neural networks
K Cant, R Evins - Journal of Building Performance Simulation, 2023 - Taylor & Francis
Deep energy retrofits of buildings are crucial to meeting climate targets and depend on
calibrated energy models for investor confidence. Bayesian inference can improve the rigour …
calibrated energy models for investor confidence. Bayesian inference can improve the rigour …
Investigation of thermal comfort efficacy of solar chimneys under different climates and operation time periods
Abstract A Solar Chimney (SC) is a passive system harnessing solar energy to ventilate
inner spaces and improve occupants' thermal comfort. The purpose of this study is to …
inner spaces and improve occupants' thermal comfort. The purpose of this study is to …
[HTML][HTML] Multi-objective optimization prediction model for building parameters of photovoltaic windows based on NSGA II-BP
J Zhang, L Zhang, P Ren, W Hao, A Xu - Case Studies in Thermal …, 2024 - Elsevier
This article simulates the indoor useful daylight illuminance (UDI), energy consumption, and
power generation of photovoltaic (PV) window buildings using EnergyPlus simulation …
power generation of photovoltaic (PV) window buildings using EnergyPlus simulation …
Empirical validation of a multizone building model coupled with an air flow network under complex realistic situations
P Eguía-Oller, S Martínez-Mariño… - Energy and …, 2021 - Elsevier
Building energy simulation (BES) assesses the energetic and thermal behaviour of buildings
and can be used for the evaluation of energy conservation measures (ECMs). However …
and can be used for the evaluation of energy conservation measures (ECMs). However …