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Lumped Parameter Building Model Calibration using Particle Swarm Optimization
Date Issued
2016-11-29
Date Available
2017-01-20T13:43:45Z
Abstract
This paper presents a methodology for the automated calibration of deterministic lumped parameter models in building energy simulation using optimization methods. A heterogeneous model topology is proposed to represent a residential building archetype developed in the EnergyPlus simulation environment. The archetype model has previously been used to characterize the domestic building stock in Ireland. The automated calibration problem is solved as a least squares error problem solved using a local optimization method (Sequential Quadratic Programming) and two heuristics methods (Particle Swarm Optimization and Genetic Algorithm). It is shown that Particle Swarm Optimization provides the best performance for this particular problem and provides an inherent robustness under model uncertainty.
Sponsorship
European Commission Horizon 2020
Type of Material
Conference Publication
Web versions
Language
English
Status of Item
Peer reviewed
Conference Details
3rd Asia conference of International Building Performance Simulation Association (ASim2016), Jeju island, Korea, 27-29 November 2016
This item is made available under a Creative Commons License
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CALIBRATION_FINAL.pdf
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