Computational analysis French house-Preprint.pdf (9 MB)

Computational analysis of energy and cost efficient retrofitting measures for the French house

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journal contribution
posted on 20.04.2020, 13:27 by Ehab Foda, Ashraf El-Hamalawi, Jérôme Le Dréau
Energy-efficient housing has become a mandatory aim to address climate change. This paper presents a computational analysis taking a French single family house as a case study, and aims to investigate both energy and cost-efficiency of market available retrofit measures using dynamic thermal modelling. A parametric analysis tool was developed to run automated batch-simulations using EnergyPlus simulation engine and to calculate the cost associated with retrofit measures, at each simulation run. The automated simulations are carried out, using an exhaustive search technique, for all permutations of measures. These included different building fabrics, ventilation strategies, levels of air-tightness and 5 different heating systems for 4 main climatic regions of France (7680 variants for each of the 4 climatic region). In this analysis, an optimization problem is set to minimise the delivered energy and retrofitting investment cost subject to an energy-saving minimum limit, payback criterion, and summer overheating-risk. The results showed optimum solutions with different fabric and system retrofit combinations that varied in numbers for the different climatic zones. The upper bound of optimum investment cost varied from 80 to 290 €/m2 for Nice and Paris, respectively.

History

School

  • Architecture, Building and Civil Engineering

Published in

Building and Environment

Volume

175

Publisher

Elsevier

Version

AM (Accepted Manuscript)

Rights holder

© Elsevier Ltd

Publisher statement

This paper was accepted for publication in the journal Building and Environment and the definitive published version is available at https://doi.org/10.1016/j.buildenv.2020.106792.

Acceptance date

04/03/2020

Publication date

2020-03-13

Copyright date

2020

ISSN

0360-1323

Language

en

Depositor

Dr Ashraf El-Hamalawi. Deposit date: 12 April 2020

Article number

106792