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  • Scientific publication
11/11/2014
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Evaluation of a multi-stage guided search approach for the calibration of building energy simulation models

 

ELSEVIER Energy and Buildings vol. 87 pag. 370-385 January 2015

Authors: Jordi Ciprianoa  ; Gerard Mora ;  Daniel Chemisanab ; Daniel Pérezc ; Gonzalo Gamboac ; Xavier Ciprianoc

a CIMNE, Building Energy and Environment Group, CIMNE-UdL classroom, 25001 Lleida
b Applied Physics Section of the Environmental Science Department, University of Lleida, l c/ Jaume II 69, 25001 Lleida
c CIMNE, Building Energy and Environment Group, c/ Rambla St Nebridi 22, 08222 Terrassa

VIEW PUBLICATION
Abstract:

This paper is focused on increasing the knowledge on methods for calibrating BES models and to get more insights of different approaches for the optimization of the calibration process. The paper will be centred in the evaluation of a multistage guided search approach. It defines an iterative optimization procedure which starts with the assignment of probabilistic density functions to the unknown parameters, followed by a random sampling and running batch of simulations. It then finishes with an iterative uncertainty and sensitivity analysis combined with a re-assignment of the ranges of variation of the strong parameters. The procedure converges when no new influencing parameters are found. This method is applied to a real case study consisting of an unoccupied office building located in Lleida (Spain). The measured indoor temperature has been used to determine the uncertainty and precision of the method. The effect of the size of the sampling, the number of iterations and the parameters of the global sensitivity method are analyzed in detail. The results of this paper exemplify the degree of accuracy of multistage guided search approaches, and illustrate the reasons how these analyses can contribute to the improvement of more refined calibration methods.

Highlights:
  • A guided search approach to calibrate BES models in free floating situations
  • Increase the knowledge in calibration of BES models
  • Latin Hypercube Monte Carlo used for random sampling of the unknown parameters
  • The effect of the sampling size and of the sensitivity method are analyzed
  • The paper exemplifies the degree of accuracy that these approaches could obtain

 

  • Daniel Pérez
  • Gerard Mor
  • Gonzalo Gamboa
  • Jordi Cipriano
  • Xavier Cipriano
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Publications

Book (10) Energy that matters (9) Manual (4) Scientific publication (33) Uncategorised (1) White paper (3)

Projects by Research Lines

Biodigesters (1) Data analytics (12) Demand response (3) Energy empowerment (6) Positive living (7) Renewable energy (2) Spin offs (2)

Publications by Researchers

Benedetto Grillone (8) Biodigesters (17) Daniel Pérez (3) Eloi Gabaldón (6) Fabio Renda (1) Florencia Lazzari (4) Gerard Laguna (1) Gerard Mor (19) Gonzalo Gamboa (2) Jaime Martí-Herrero (25) Jordi Carbonell (6) Jordi Cipriano (25) Jose Santos Lopez (1) Stoyan Danov (14) Xavier Cipriano (4)

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