Ensemble Calibration of Lumped Parameter Retrofit Building Models using Particle Swarm Optimization

Files in This Item:
File Description SizeFormat 
ENB_2017_192_new.pdfMain Article1.58 MBAdobe PDFDownload
Title: Ensemble Calibration of Lumped Parameter Retrofit Building Models using Particle Swarm Optimization
Authors: Andrade-Cabrera, Carlos
Burke, Daniel J.
Turner, William J. N.
Finn, Donal
Permanent link: http://hdl.handle.net/10197/9117
Date: 15-Nov-2017
Abstract: Simulation-based building retrofit analysis tools and electricity grid expansion planning tools are not readily compatible. Their integration is required for the combined study of building retrofit measures and electrified heating technologies using low-carbon electricity generation. The direct coupling of these modelling frameworks requires the explicit mathematical representation of Energy Conservation Measures (ECMs) in building-to-grid energy system models. The current paper introduces an automated calibration methodology which describes retrofitted buildings as parametric functions of ECMs. The buildings are represented using a lumped parameter modelling framework. A baseline model, representative of the building prior to retrofit, and the retrofit functions are calibrated using Particle Swarm Optimization. Synthetic temperature and heating load time-series data were generated using an EnergyPlus semi-detached house archetype model. The model is representative of this residential building category in Ireland. It is shown that the proposed methodology calibrates retrofitted building models to an acceptable level of accuracy (MAE below 0.5 °C). The methodologies introduced in the current paper are capable of generating lumped parameter building models with similar dynamics for different ECMs for any archetype building energy model. The identified building retrofit models have the potential to be integrated with electricity grid models in a computationally-efficient manner.
Funding Details: European Commission Horizon 2020
Science Foundation Ireland
Type of material: Journal Article
Publisher: Elsevier
Keywords: Lumped parameter modelsBuilding model calibrationBuilding retrofitParticle swarm optimizationIntegrated analysis
DOI: 10.1016/j.enbuild.2017.09.035
Language: en
Status of Item: Peer reviewed
Appears in Collections:Mechanical & Materials Engineering Research Collection
Electrical and Electronic Engineering Research Collection

Show full item record

Google ScholarTM

Check

Altmetric


This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.