Decision-making Tool for Energy and Thermal Comfort Optimization in Residential Building Refurbishment Using Passive Strategies

  • ISTVAN KISTELEGDI Department of Building Structures and Energy Design, University of Pécs, Boszorkány, Hungary
  • CHRO HAMA RADHA Department of Technical, College of Engineering/City Planning / Sulaimani Polytechnic University, Sulaymaniyah,Iraq
  • BARANYAI BALINT Department of Building Structures and Energy Design, University of Pécs, Boszorkány, Hungary
Keywords: Building thermal simulations; Energy efficiency; Thermal comfort; Optimization; Decision-making tool.

Abstract

The passive strategies are one of the most effective strategies for energy efficiency and thermal comfort performance either in newly constructed or in retrofitting existing buildings. The optimization is a process or methodology of making a system or decision as advantageous as possible, considering all relevant influencing factors. In the optimization process, a special decision-making tool should be properly set in order to cover the described configurations. This paper presents approaches to explore reducing energy consumption and increasing the thermal comfort in five typical residential buildings in Sulaimani city in Iraq, through investigating the optimization of different passive refurbishment strategies. The approaches are supported by simulation of different scenarios, applying computational techniques. In addition, an own developed decision support tool was proposed to assess and complete the optimization process. The most convenient passive strategies for optimization were summarized and the optimum models were proposed. The results revealed that improvement of energy efficiency and thermal comfort in the investigated buildings depends mostly on construction technique, materials used, and design of building body shape (A/V-ratio) and natural ventilation.

References

Abdul-Rahman I.( 2014), Energy Efficient Building A Hot and Dry Climate, Improvement of traditional houses in Kurdistan region, Building Technology, Malardalen University, Vasteras, Sweden, pp. 715.
Alireza D. S.( et al 2014), Wind Towers; Architecture, Climate and Sustainability, Springer International Publishing.
Bainbridge A., Haggard K.( 2011), Passive Solar Architectural: Heating, Cooling, Ventilation, Daylighting, And More Using Natural Flows, ISBN 978-1-603-58296-4, 2010, pp. 39–133.
Chro H. R., Istvan K.( 2017), Thermal performance analysis of Sabunkaran residential building typology, Pollack Periodica, An International Journal for Engineering and Information Sciences, DOI: 10.1556/606.2017.12.2.13, Vol. 12, No. 2, pp. 151–162.
Dehghani A. R. (et al 2015), A new design of wind tower for passive ventilation in buildings to reduce energy consumption in windy regions, Renewable and Sustainable Energy Reviews, Vol. 42, pp. 182–195.
Hootman T. (2013), Net Zero Energy Design Subtropical Regions: a Guide for Commercial Architecture, Wiley & Inc., Hoboken, New Jersey, USA, Pp. 183–229.
Kang J. E., Park C. S., Schuetze T.( 2015), Assessment of passive vs. Active strategies for a school building design, Sustainability open access journal, Suwon, Korea, ISSN 2071-1050,11, pp. 15136‒15151.
Mozsonics E., Istvan K.( 2015), Typology Investigation of Climate Systems and Design of Multifunctional Shading Structures for the Facade of the Szentagothai Research Center, pp. 61‒70.
Murray S. N., Sullivan D. T. J.( 2012), an optimization methodology and sensitivity analysis of existing building retrofits, Proc. Of 1st International Building Simulation and Optimization Conference (IBSOC), Loughborough, UK, pp. 110‒116.
Rathi P.( 2012), Optimization Of Energy Efficient Windows In Office Buildings For Different Climate Zones Of The United States, Master thesis, Architecture and Environmental Design, Kent State University, Ohio, USA, pp. 47‒66.
Taleb H. M.( 2014), Using passive cooling strategies to improve thermal performance and reduce energy consumption of residential buildings in the U.A.E., Frontiers of Architectural Research, Vol. 3, No. 2, pp. 154–165.
Ubinas E.R. (et al 2014),The Passive Design Strategies and Energy Performance of a Zero-energy Solar House, Energy and buildings, pp. 10‒22.
Wu H., Thomas S.(2007), A Multi-Objective Optimization Model for Sustainable Building Design Using Genetic Algorithm and Fuzzy Set Theory, Pro. of 12th Conference IBPSA, Sydney, Vol.2, pp. 989‒999.
Published
2019-08-09
How to Cite
KISTELEGDI, I., C. HAMA RADHA, and B. BALINT. “Decision-Making Tool for Energy and Thermal Comfort Optimization in Residential Building Refurbishment Using Passive Strategies”. ZANCO Journal of Pure and Applied Sciences, Vol. 31, no. s3, Aug. 2019, pp. 297-04, doi:10.21271/ZJPAS.31.s3.41.