• ISSN: 2010-0248
    • Abbreviated Title: Int. J. Innov.  Manag. Technol.
    • Frequency: Bimonthly
    • DOI: 10.18178/IJIMT
    • Editor-in-Chief: Prof. Jin Wang
    • Executive Editor: Ms. Nina Lee
    • Abstracting/ Indexing: Google Scholar, Ulrich's Periodicals Directory,  Crossref and ProQuest, Electronic Journals Library.
    • E-mail: ijimt@ejournal.net
IJIMT 2018 Vol.9(6): 271-277 ISSN: 2010-0248
doi: 10.18178/ijimt.2018.9.6.824

Fuzzy Model for Integration of Solar Systems into Nearly Zero-Energy Buildings

Kosa Golić
Abstract— The general aspiration for a larger living space over time along with the population growth prediction has significant implications on future energy needs, underlining the urgency for improving energy performance of buildings. In the European Union (EU), building sector accounts for approximately 40% of global energy consumption and for 36% of CO2 emissions. Taking into account that around 75% of the total stock in the EU is energy inefficient, this part of building sector represents a great potential for energy saving and reduction of CO2 emissions. Especially, this refers to the buildings built in the period from 1950 to 1970, due to the utilization of low-cost construction technologies. In order to achieve nearly-zero energy level, various energy efficiency measures and building-integrated renewable technologies need to be implemented.Solar thermal systems and photovoltaic (PV) systems may play a crucial role since they can provide electricity, heating, and cooling of the buildings as well as hot water supply. Towards this end, the main objective of this paper is to propose a model for optimizing PV integration through retrofitting of multi-family housing based on fuzzy sets type-2. Building retrofitting is being considered as one of the main strategies to contribute to the reduction of building energy consumption and greenhouse gas emissions. The proposed model employs fuzzy VIKOR method based on type-2 fuzzy sets to create an effective decision-making platform for selection of the optimal solution. Fuzzy set theory provides the possibility of addressing complex problems when it is not possible to gather a complete data set or/and when data accuracy is uncertain. The variables involved can have both quantitative and qualitative form contributing also to the flexibility of the model. The model developed in this study can help both the investors and the contractors in decision-making process regarding the integration of PV system through retrofitting of the multi-family residential buildings.

Index Terms— Building integrated photovoltaic system (BIPV), Nearly Zero-Energy Building (nZEB), fuzzy VIKOR method, fuzzy sets type-2.

Kosa Golic is with the Faculty of Construction Management, University Union - Nikola Tesla, 11000 Belgrade, Serbia (email: kosa.golic@live,com).


Cite: Kosa Golić, " Fuzzy Model for Integration of Solar Systems into Nearly Zero-Energy Buildings," International Journal of Innovation, Management and Technology vol. 9, no. 6, pp. 271-277, 2018.

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