Validation of calibrated energy models: Common errors

G Ramos Ruiz, C Fernandez Bandera - Energies, 2017 - mdpi.com
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 …

[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 …

A performance comparison of multi-objective optimization-based approaches for calibrating white-box building energy models

S Martínez, P Eguía, E Granada, A Moazami… - Energy and …, 2020 - Elsevier
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 …

Cross-sectoral assessment of the performance gap using calibrated building energy performance simulation

N Jain, E Burman, S Stamp, D Mumovic, M Davies - Energy and Buildings, 2020 - Elsevier
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 …

Stressing the passive behavior of a Passivhaus: An evidence-based scenario analysis for a Mediterranean case study

V Costanzo, K Fabbri, S Piraccini - Building and Environment, 2018 - Elsevier
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 …

Performance testing of energy models: are we using the right statistical metrics?

D Chakraborty, H Elzarka - Journal of Building Performance …, 2018 - Taylor & Francis
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 …

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 …

Investigation of thermal comfort efficacy of solar chimneys under different climates and operation time periods

A Salehi, R Fayaz, M Bozorgi, S Asadi, V Costanzo… - Energy and …, 2019 - Elsevier
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 …

[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 …

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 …