THERMAL SCIENCE

International Scientific Journal

Ružica Jurjević

,

Denis Dergestin

,

Frano Knezović

,

Ivan Bačan

FINAL METHOD FOR SELECTION OF THE OPTIMAL SOLUTION FOR DEEP ENERGY RENOVATION OF A BUILDING

ABSTRACT
The great potential for reduction of CO2 emissions lies in the deep energy renovation of buildings that exploits the full potential of improving energy efficiency in buildings to maximize energy savings and minimize energy costs. However, in addition to the technical parameters, it is necessary to analyze the willingness of the client to pay for deep energy renovation. This paper presents a methodology applicable to all types of buildings that in a relatively short time provides an optimal solution that meets both parameters – technical and economic, while satisfying the legal requirements. The method was tested by simultaneous use of DESIGNBUILDER software package (which uses ENERGYPLUS as its dynamic simulation engine), PYTHON and SQL programming languages on an office building in the city of Zagreb, where a total of 720 combinations of building deep energy renovation were analyzed. In the analyzed case, it was proved that the application of this methodology results in obtaining the output values 20.51 times faster than the classical input of all combinations of deep energy renovation of the building in software tools. In addition, the probability of human error is much lower by applying this methodology given large amount of input data.
KEYWORDS
deep energy building renovation, optimal combination, energy efficiency measures
PAPER SUBMITTED: 2023-04-10
PAPER REVISED: 2023-05-12
PAPER ACCEPTED: 2023-05-20
PUBLISHED ONLINE: 2023-07-16
DOI REFERENCE: https://doi.org/10.2298/TSCI230410155J
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2023, VOLUME 27, ISSUE Issue 6, PAGES [4431 - 4445]
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Final method for selection of the optimal solution for deep energy renovation of a building

© 2024 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence