Carbon Footprint Calculation of Different Building Typologies under Construction and Operation Stages

Yıl 2022, Cilt: 9 Sayı: 3, 1 - 13, 08.09.2022

Sena Ahmetoğlu , Aysegul Tanık

https://doi.org/10.30897/ijegeo.874001

Cited By: 2

Öz

In line with the calculation of carbon footprint (CF), the direct and indirect sources of emissions arising from two different building typologies in Turkey, a hospital and a complex building covering shopping mall, offices and residences were determined representing the construction stage, and another hospital and a shopping mall were selected as examples of operation stage to cover the entire sector. The scope was determined according to classifications specified in ISO 14064 Greenhouse Gas Calculation and Verification Management System. The calculations were done by multiplying the emission factors obtained from international sources with the actual consumption values gathered from a Contractor Company established in Turkey. As studies on national emission factors have not yet been completed, internationally accepted and recognized values were used. In the light of determined emission sources and scopes, the CF of the hospitals and complex building projects for at least 2 years were calculated and the changes were evaluated. The findings obtained within the scope of the projects built and/or operated representing different building typologies in the construction sector indicated that electricity consumption had the largest share regarding the CF calculations. In addition, worldwide examples on mitigation applications were referred and underlined in the study.

Anahtar Kelimeler

Carbon Footprint, Construction Sector, Climate Change, GHG Emissions

Kaynakça

• Acquaye AA, Duffy AP (2010) Input–output analysis of Irish construction sector greenhouse gas emissions. Building and Environment 45(3): 784-791.
• Ahmetoglu S (2019) CF calculations in construction sector. Dissertation. Istanbul Technical University (in Turkish).
• Akan MOA, Dhavale DG, Sarkis J (2017) Greenhouse gas emissions in the construction industry: An analysis and evaluation of a concrete supply chain. Journal of Cleaner Production 167: 1195-1207.
• Chasta P, Theodosiou T, Bikas D (2016) Embodied energy in residential buildings-towards the nearly zero energy building: A literature re-view. Building and Environment 105: 267-282.
• Chastas, P., Theodosiou, T., Kontoleon, K. J., & Bikas, D. (2018). Normalising and assessing carbon emissions in the building sector: A review on the embodied CO2 emissions of residential buildings. Building and Environment, 130, 212-226.
• Gardezi SSS, Shafiq N (2019) Operational CF prediction model for conventional tropical housing: a Malaysian prospective. International Journal of Environmental Science and Technology 16:7817–7826.
• Ghajarkhosravi, M., Huang, Y., Fung, AS., Kumar, R., & Straka, V. (2020). Energy benchmarking analysis of multi-unit residential buildings (MURBs) in Toronto, Canada. Journal of Building Engineering, 27, 100981.
• Gomes J, Nascimento J, Rodrigues H (2007) Development of a local carbon dioxide emissions inventory based on energy demand and waste production. Journal of Air & Waste Management 57: 1032-1037.
• Green Construction Board (GCB) (2015) Low Carbon Routemap for the Built Environment: 2015 Routemap Progress- Technical Report https://www.greenconstructionboard.org/otherdocs/2015%20Built%20environment%20low%20carbon%20routemap%20progress%20report%202015-12-15.pdf
• Guggemos AA, Horvath A (2006) Decision-support tool for assessing the environmental effects of constructing commercial buildings. Journal of Architectural Engineering 12(4): 187-195.
• Hu X, Liu C (2016). Carbon productivity: a case study in the Australian construction industry. Journal of Cleaner Production 112: 2354-2362.
• Jeong YS, Lee SE, Huh JH (2012) Estimation of CO2 emission of apartment buildings due to major construction materials in the Republic of Korea. Energy and Buildings 49: 437-442.
• Jing, R., Wang, M., Zhang, R., Li, N., & Zhao, Y. (2017). A study on energy performance of 30 commercial office buildings in Hong Kong. Energy and Buildings, 144, 117-128.
• Lam, J. C. (2000). Energy analysis of commercial buildings in subtropical climates. Building and Environment, 35(1), 19-26.
• Li H, Zhao Y, Kang J, Wang S, Liu Y, Wang H (2020) Identifying sectoral energy-carbon-water nexus characteristics of China. Journal of Cleaner Production 249: 119436.
• Lu, M., & Lai, J. (2020). Review on carbon emissions of commercial buildings. Renewable and Sustainable Energy Reviews 119, 109545.
• Nansai, K., Fry, J., Malik, A., Takayanagi, W., & Kondo, N. (2020). CF of Japanese health care services from 2011 to 2015. Resources, Conservation and Recycling 152, 104525.
• Ochoa L, Ries R, Matthews HS, Hendrickson C (2005) Life cycle assessment of residential buildings. In Construction Research Congress 2005: Broadening Perspectives, Proceedings of Construction Research Congress, San Diego, CA, USA, 5 April 2005; Tommelein, I.D., Ed.; ASCE/CI: Reston, VA, USA.
• Oktay FU, Yurtsever O, Ileri C, Kivilcim I (2017) Towards a sustainable world: Global agenda and Turkey. Publication of National Economic Development Foundation Istanbul (In Turkish).
• Pachauri RK, Allen MR, Barros VR, Broome J, Cramer W, Christ R, Dubash NK (2014) Climate change 2014: synthesis report. Contribution of Working Groups I, II and III to the fifth assessment report of the Intergovernmental Panel on Climate Change (p. 151). IPCC.
• Parikh J, Panda M, Ganesh-Kumar A, Singh V (2009) CO2 emissions structure of Indian economy. Energy 34(8), 1024-1031.
• Solís-Guzmán, J., Rivero-Camacho, C., Alba-Rodríguez, D., & Martínez-Rocamora, A. (2018). CF estimation tool for residential buildings for non-specialized users: OERCO2 project. Sustainability 10(5), 1359.
• Vaclav Smil (2017) Energy transitions: global and national perspectives. BP Statistical Review of World Energy. http://vaclavsmil.com/2016/12/14/energy-transitions-global-and-national-perspectives-second-expanded-and-updated-edition https://www.bp.com/en/global/corporate/energy-economics/statistical-review-of-world-energy.html
• Weng L and Zhang Y (2020) A study on carbon transfer and carbon emission critical paths in China: I-O analysis with multidimensional analytical framework. Environmental Science and Pollution Research 27:9733–9747.
• Wong JK, Li H, Wang H, Huang T, Luo E, Li, V (2013) Toward low-carbon construction processes: the visualisation of predicted emission via virtual prototyping technology. Automation in Construction 33, 72-78.
• Zhang, X., Wang, F. (2016). Assessment of embodied carbon emissions for building construction in China: Comparative case studies using alternative methods. Energy and Buildings 130, 330-340.
• Zhang X, Li Z, Ma L, Chong C, Ni W (2019) Analysing carbon emissions embodied in construction services: a dynamic hybrid input–output model with structural decomposition analysis. Energies 12(8), 1456.
• Url-1.https://www.ipcc-nggip.iges.or.jp/support/Primer_2006GLs.pdf. Last accessed 17.03.2020
• Url-2. https://www.ipcc.ch/ Last accessed 17.03.2020
• Url-3. https://ghgprotocol.org/. Last accessed 04.03.2020
• Url-4. https://unfccc.int/. Last accessed 04.03.2020
• Url-5. https://www.iso.org/standard/66453.html. Last accessed 17.03.2020
• Url-6.https://assets.kpmg/content/dam/kpmg/tr/pdf/2018/01/sektorel-bakis-2018-insaat.pdf>. Last accessed 17.03.2020.
• Url-7. https://www.nufusu.com/turkiyenin-en-kalabalik-sehirleri. Last accessed 17.03.2020
• Url-8.https://www.worldatlas.com/articles/largest-cities-in-europe-by-population.html. Last accessed 02.04.2020
• Url-9. https://worldpopulationreview.com/world-cities. Last accessed 02.04.2020
• Url-10.https://www.bechtel.com/bechtel/media/html/2017-reports/assets/pdf/sr/The-Bechtel-Sustainability-Report-2017.pdf. Last accessed 25.02.2020.
• Url-11.https://www.urw.com/-/media/Corporate~o~Sites/Unibail-Rodamco-Corporate/Files/Homepage/INVESTORS/Regulated-Information/Registration-Documents/EN/20170201-UR-Annual-Report-2016_EN.ashx. Last accessed 04.03.2020.
• Url-12. https://ourworldindata.org/renewable-energy. Last accessed 25.01.2020.
• Url-13.http://www.bp.com/statisticalreview. Last accessed 25.01.2020
• Yue T, Liu H, Long R, Chen H, Gan X, Liu J (2020) Research trends and hotspots related to global carbon footprint based on bibliometric analysis: 2007–2018. Environmental Science and Pollution Research 27, 17671–17691.