Analysis of the Energy Efficiency of Poultry Houses in Türkiye

Yıl 2024, Cilt: 7 Sayı: 2, 277 - 297, 15.03.2024

Asiye Aslan

https://doi.org/10.34248/bsengineering.1405324

Öz

Türkiye is an important producer, consumer and exporter in the poultry farming industry across the world. The poultry farming is one of the fastest growing sectors in the field of food and agriculture and has become one of the strongest sectors over time. Especially with the development of industrial sectors, the effective usage and management of energy, which is the most important issue of almost every business, has recently become an important structure in the building sector in Türkiye. This study examined optimum insulation layer thickness, energy savings, and emissions of CO2 for the exterior walls and roofs of poultry farming facilities. The study used the degree day method, which is widely used in standard insulation calculations, in accordance with broiler production. As the equilibrium temperature, the desired temperature values of broilers for each week in the 6-week period were taken as the basis (31, 29, 25, 23.50, 22.50, 20.50°C). Life cycle cost analysis (LCCA) was applied to identify the optimal values of insulation thickness in the facilities. Accordingly, the optimum insulation layer thickness, savings amount, and payback period for the walls and roofs ranged between 0.043-0.270 m and 0.022-0.094 m, 7.53-164.65 S/m2 and 12.85-319.62 S/m2, 1.19-2.19 years and 1.18-1.99 years, respectively. It has been calculated that a 70-80% reduction in CO2 emissions could be managed by applying the optimum insulation layer thickness.

Anahtar Kelimeler

Poultry farms, Insulation, Energy saving, Life-cycle cost analysis

Kaynakça

• Açıkkalp E, Kandemir SY. 2019. A method for determining optimum insulation thickness: Combined economic and environmental method. Therm Sci Eng Prog, 11: 249-253.
• Akolgo GA, Uba F, Opoku R, Tweneboah-Koduah S, Alhassan ARM, Anokye EG, Jedaiah AOA, Nunoo E. 2022. Energy analysis of poultry housing in Ghana using artificial neural networks. Sci Afr, 17: 01313.
• Akpınar EK, Demir İH. 2018. Calculation of optimum insulation thickness and Energy savings for different climatic regions of Turkey. J Sci Technol, 13(2): 15-22.
• Annibaldi V, Cucchiella F, De Berardinis P, Rotilio M, Stornelli V. 2019. Environmental and economic benefits of optimal insulation thickness: A life-cycle cost analysis. Renew Sust Energ Rev, 116: 109441.
• Anonymous. 2022a. http://www.canakkalegaz.com.tr/turkish (accessed date: 10 December 2022).
• Anonymous. 2022b. http://www.dosider.org, Fuel prices (accessed date: 12 December 2022).
• Anonymous. 2022c. http://www.izocam.com.tr, Insulation Unit Prices (accessed date: 10 December 2022).
• Anonymous. 2023a. https://www.mta.gov.tr (accessed date:15 October 2023).
• Anonymous. 2023b. https://arastirma.tarimorman.gov.tr/tepge (accessed date: 10 October 2023).
• Arıtürk E, Ergün A, Yalçın S. 1986. The Relationship Between Poultry and Environmental Temperature. Lalahan Zoot Arast Enst Derg, 26(1-4): 42-52.
• Bolattürk A. 2008. Optimum insulation thicknesses for building walls with respect to cooling and heating degree-hours in the warmest zone of Turkey. Build Environ, 43(6): 1055-1064.
• Büyükalaca O, Bulut H, Yılmaz T. 2001. Analysis of variable-base heating and cooling degree-days for Turkey. Appl Energy, 69(4): 269-283.
• Christenson M, Manz H, Gyalistras D. 2006. Climate warming impact on degree-days and building energy demand in Switzerland. Energy Convers Manag, 47(6): 671-686.
• Dağtekin M. 2012. Tecno-ekonomic feasibility analysis of solar energy use in cooling of broiler poultry houses. J Agric Fac ÇÜ, 27(2): 11-20.
• De Rosa M, Bianco V, Scarpa F, Tagliafico LA. 2014. Heating and cooling building energy demand evaluation; a simplified model and a modified degree days approach. Appl Energy, 128: 217-229.
• Dombaycı ÖA, Atalay Ö, Acar ŞG, Ulu EY, Öztürk HK. 2017. Thermoeconomic method for determination of optimum insulation thickness of external walls for the houses: Case study for Turkey. Sustain Energy Technol Assess, 22: 1-8.
• Eto JH. 1988. On using degree-days to account for the effects of weather on annual energy use in office buildings. Energy Build, 12(2): 113-127.
• Gržinić G, Piotrowicz-Cieślak A, Klimkowicz-Pawlas A, Górny RL, Ławniczek-Wałczyk A, Piechowicz L, Olkowska E, Potrykus M, Tankiewicz M, Krupka M, Siebielec G, Wolska L. 2023. Intensive poultry farming: A review of the impact on the environment and human health. Sci Total Environ, 858: 160014.
• Hou J, Zhang T, Hou C, Fukuda H. 2022. A study on influencing factors of optimum insulation thickness of exterior walls for rural traditional dwellings in northeast of Sichuan hills, China. Case Stud Constr Mater,16: 01033.
• Kapica J, Pawlak H, Ścibisz M. 2015. Carbon dioxide emission reduction by heating poultry houses from renewable energy sources in Central Europe. Agric Syst, 139: 238-249.
• Lindley JA, Whitaker JH. 1996. Agricultural buildings and structures. American Society of Agricultural Engineers (ASAE), USA, pp 636.
• Malka L, Kuriqi A, Haxhimusa A. 2022. Optimum insulation thickness design of exterior walls and overhauling cost to enhance the energy efficiency of Albanian's buildings stock. J Clean Prod, 381: 135160.
• Matzarakis A, Balafoutis C. 2004. Heating degree‐days over Greece as an index of energy consumption. Int J Climatol, 24(14): 1817-1828.
• Özdemir E, Poyraz Ö. 1997. Insulation of poultry houses. Lalahan Zoot. Arast. Enst. Derg, 37(2): 91-108.
• Özlü S, Shiranjang R, Elibol O, Karaca A, Türkoğlu M. 2017. Effect of paper waste products as a litter material on broiler performance. J Appl Poult Res, 14(2): 12-17.
• Şişman N, Kahya E, Aras N, Aras H. 2007. Determination of optimum insulation thicknesses of the external walls and roof (ceiling) for Turkey's different degree-day regions. Energy Policy, 35(10): 5151-5155.
• Ustaoğlu A, Kurtoğlu K, Yaras A. 2020. A comparative study of thermal and fuel performance of an energy-efficient building in different climate regions of Turkey. Sustain Cities Soc, 5: 102163.
• Yang Z, Tu Y, Ma H, Yang X, Liang C. 2022. Numerical simulation of a novel double-duct ventilation system in poultry buildings under the winter condition. Build Environ, 207: 108557.