Journal ArticleDOI
Development of a new multi-stage building energy model calibration methodology and validation in a public library
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TLDR
In this article, the authors proposed a novel ground-breaking calibration methodology that divides the entire building into different sub-models and calibrates them separately to obtain an accurate model, which achieved better results than those obtained with a global calibration.About:
This article is published in Energy and Buildings.The article was published on 2017-07-01. It has received 45 citations till now. The article focuses on the topics: ASHRAE 90.1 & TRNSYS.read more
Citations
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Journal ArticleDOI
Validation of calibrated energy models: Common errors
TL;DR: In this article, the authors focus on the typical mistakes made, as these errors could produce a false belief that the models used are calibrated, which can lead to false beliefs about the accuracy of building energy models.
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Building simulation: Ten challenges
TL;DR: Ten challenges that highlight some of the most important issues in building performance simulation, covering the full building life cycle and a wide range of modeling scales are presented.
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Improving prediction performance for indoor temperature in public buildings based on a novel deep learning method
TL;DR: Results show that the proposed novel LSTM model has slight advantages in level indoor temperature prediction performance comparing with other common machine learning methods, however, it outperforms other models including original L STM in terms of directional prediction accuracy, and accurately predicts the indoor temperature variation trend.
Journal ArticleDOI
Climate control in broiler houses: A thermal model for the calculation of the energy use and indoor environmental conditions
TL;DR: In this article, the authors presented a simulation model based on a customization of the hourly model of ISO 13790 for the estimation of the energy consumption due to climate control of broiler houses.
Journal ArticleDOI
A real industrial building: Modeling, calibration and Pareto optimization of energy retrofit
Fabrizio Ascione,Nicola Bianco,Teresa Iovane,Gerardo Maria Mauro,Davide Ferdinando Napolitano,Antonio Ruggiano,Lucio Viscido +6 more
TL;DR: The research provides the Pareto optimization of building retrofit minimizing primary energy consumption and global cost for two different scenarios as regards the access to public incentives.
References
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Journal ArticleDOI
A review on buildings energy consumption information
TL;DR: In this article, the authors analyzed available information concerning energy consumption in buildings, and particularly related to HVAC systems, and compared different types of building types and end uses in different countries.
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EnergyPlus: creating a new-generation building energy simulation program
Drury B. Crawley,Linda K. Lawrie,F.C. Winkelmann,Walter F. Buhl,Y.Joe Huang,C.O. Pedersen,Richard Karl Strand,R.J. Liesen,Daniel E. Fisher,Michael J. Witte,Jason Glazer +10 more
TL;DR: EnergyPlus as discussed by the authors is a building energy simulation tool that includes a number of innovative simulation features such as variable time steps, user-configurable modular systems that are integrated with a heat and mass balance-based zone simulation, and input and output data structures tailored to facilitate third party module and interface development.
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A review of sensitivity analysis methods in building energy analysis
TL;DR: In this article, the typical steps of implementation of sensitivity analysis in building analysis are described, and a number of practical issues in applying sensitivity analysis are also discussed, such as the determination of input variations, the choice of building energy programs, how to reduce computational time for energy models.
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A review of methods to match building energy simulation models to measured data
TL;DR: A detailed review of current approaches to model development and calibration is presented, highlighting the importance of uncertainty in the calibration process and the various analytical and mathematical/statistical tools employed by practitioners to date.
Journal ArticleDOI
Calibration of building energy models for retrofit analysis under uncertainty
TL;DR: In this article, the authors present a scalable, probabilistic methodology that can support large scale investments in energy retrofit of buildings while accounting for uncertainty, based on Bayesian calibration of normative energy models.
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