Determination of Optimum Insulation Thickness in Building Insulation in Tokat Province and Its Effect on CO2 Emission

Authors

DOI:

https://doi.org/10.24925/turjaf.v13i2.376-382.7195

Keywords:

Degree-day method, Life cycle cost analysis, Optimum insulation thickness, CO2 Emissions, Building insulation

Abstract

Agricultural structures are generally classified as rural structures, animal-plant production structures and protection-storage structures. As in all types of buildings, it is necessary to reduce energy costs by reducing thermal losses/gains in agricultural structures. Thus, the damage caused by the waste gases released to people and the environment is also reduced. For these reasons, it has become important to determine the type and thickness of the insulation material used to reduce thermal losses/gains in a way that will provide the most economic benefit. In this study, optimum insulation thicknesses, annual savings, payback period and reduction in CO2 emissions on the outer walls of the building for heating and heating-cooling applications in Tokat province were calculated. Although the desired temperature values differ according to the building types, this study for residences is also an adaptive prediction for agricultural building types. XPS (extruded polystyrene) and RW (rock wool) insulation materials were used for two different wall types. Natural gas for heating and electricity for cooling were selected as energy sources. DD (degree day) and LCA (life cycle analysis) methods were used for thermal and economic analysis. According to the wall type, the optimum insulation thickness of XPS insulation material is 0.032m-0.029m for heating, 0.071m-0.068m for heating-cooling, payback period is 5.13years-6.92years for heating, 2.32years-2.94years for heating-cooling, and the reduction in CO2 emission is calculated as 64.57%-57.77% for heating, 80.46%-76.28% for heating-cooling. According to the wall type, the optimum insulation thickness of RW insulation material was 0.023m-0.019m for heating, 0.055m-0.051m for heating-cooling, payback period 8.20years-11.93 years for heating, 3.33years-4.3years for heating-cooling, and the reduction in CO2 emission was determined as 53.98%-44.65% for heating, 73.69%-68.49% for heating-cooling. In the insulation application of buildings, it has been determined that it is more appropriate to prefer XPS insulation material because it is more advantageous than RW insulation material in terms of both payback period and economy and environmental impact in reducing CO2 emissions, at the calculated optimum insulation thicknesses.

References

Akan, A. E. (2021). Determination and modelling of optimum insulation thickness for thermal insulation of buildings in all city centres of Turkey. International Journal of Thermophysics, 42:49. https://doi.org/10.1007/s10765-021-02799-9

Akan, A. P., Akan, A. E. (2022). Modelling of CO2 emissions via optimum insulation thickness of residential buildings. Clean Technologies and Environmental Policy, 24(3), 949–967. https://doi.org/10.1007/s10098-021-02233-6

Aktemur, C., Bilgin, F., Tunçkol, S. (2021). Optimisation on the thermal insulation layer thickness in buildings with environmental analysis: an updated comprehensive study for Turkey’s all provinces. Journal of Thermal Engineering, 7(5), 1239-1256. https://doi.org/10.18186/thermal.978057

Aşıkoğlu, A. (2023). Cost analysis of insulation materials used to increase energy performance in buildings with Net Present Value method. Journal of Sustainable Construction Materials and Technologies, 8(2),34-145. https://doi.org/10.47481/jscmt.1270831

Bayram, M., Yeşilata, B. (2009).Isıtma ve soğutma derece gün sayılarının entegrasyonu, IX. Ulusal Tesisat Mühendisliği Kongresi ve Sergisi, İzmir

Bulut, H., Büyükalaca, O., Yılmaz, T. (2007). Türkiye için ısıtma ve soğutma derece-gün bölgeleri, 16. Isı Bilimi ve Tekniği Kongresi, Kayseri

Central Bank the Republic of Türkiye, TCMB,2024, https://www.tcmb.gov.tr/ wps/wcm/connect/TR/TCMB+TR/Main+Menu/Istatistikler/Enflasyon+Verileri

Cost of thermal insulation materials. IZOCAM 2024. https://www.efemekanik.com/wp-content/uploads/2024/05/I%CC%87ZOCAM-FI%CC%87YAT-LI%CC%87STESI%CC%87-2024.pdf

Cost of natural gas. AKSA. (2024) https://www.aksadogalgaz.com.tr/Musteri-Hizmetleri/Fiyat-Tarifeleri/Satis-Tarifesi/TokatAmasya

Coyle, E. D., Simmons, R. A. (2014). Understanding the global energy crisis. Purdue University Press.https://doi.org/10.2307/j.ctt6wq56p

Dombayci, O. A., Atalay, Ö., Güven Acar, Ş., Yilmaz Ulu, E., Kemal Ozturk, H., (2017). Thermoeconomic method for determination of optimum insulation thickness of external walls for the houses: Case study for Turkey. Sustainable Energy Technologies and Assessments,22,1–8. https://doi.org/10.1016/J.SETA.2017.05.005

Guven, S., (2019). Calculation of optimum insulation thickness of external walls in residential buildings by using exergetic life cycle cost assessment method: Case study for Turkey, Environmental Progress and Sustainable Energy. Vol. 38(6)

International Energy Agency. (2023). World Energy Outlook, https://www.iea.org/reports/world-energy-outlook-2023

Kaynaklı, Ö., (2013). Optimum thermal insulation thicknesses and payback periods for building walls in Turkey, Isı Bilimi ve Tekniği Dergisi, 33(2),45-55.

Küçüktopcu, E., Cemek, B., (2019). The determination of optimum thermal insulation thickness for external walls of laying hen houses, Anadolu J Agr Sci, 34

Kürekci, N.A., (2016). Determination of optimum insulation thickness for building walls by using heating and cooling degree-day values of all Turkey’s provincial centers, Energy and Buildings 118, 197–213, doi:10.1016/j.enbuild.2016.03.004

Ministry of Energy and Natural Resources. (2022). Turkey's National Energy Plan, https://enerji.gov.tr/Media/Dizin/EIGM/tr/Raporlar/

Ozel, G., Açikkalp, E., Görgün, B., Yamik, H., Caner, N., (2015). Optimum insulation thickness determination using the environmental and life cycle cost analyses based entransy approach. Sustainable Energy Technologies and Assessments, vol.11,87-91.

Özkan, D. B., Onan, C., (2011). Optimization of insulation thickness for different glazing areas in buildings for various climatic regions in Turkey. Applied Energy, 88(4), 1331–1342. https://doi.org/10.1016/J.APENERGY.2010.10.025

Paraschiv, L. S., Acomi, N., Serban, A., Paraschiv, S., (2020). A web application for analysis of heat transfer through building walls and calculation of optimal insulation thickness. Energy Reports, 6, 343–353. https://doi.org/10.1016/J.EGYR.2020.08.055

Turkish State Meteorological Service (2024). https://www.mgm.gov.tr/ veridegerlendirme/gun-derece.aspx

Turkish Statistical Institute, “Seragazı Emisyon İstatistikleri, 1990-2021” Haber Bülteni;29/03/2023, Sayı:49672

Downloads

Published

28.02.2025

How to Cite

Kültürel, Y., & Dağkurs, L. (2025). Determination of Optimum Insulation Thickness in Building Insulation in Tokat Province and Its Effect on CO2 Emission. Turkish Journal of Agriculture - Food Science and Technology, 13(2), 376–382. https://doi.org/10.24925/turjaf.v13i2.376-382.7195

Issue

Section

Research Paper