The Lifecycle Cost and CO2 Emission Analysis with the Building Information Modeling Applications

Yıl 2019, Cilt: 3 Sayı: 2, 48 - 60, 25.12.2019

Sare Gökçen Armutlu Ayça Gülten

Öz

In this study, the impact of the Building Information Modeling (BIM) applications on the energy performance of the buildings has been revealed with an application study upon the lifecycle cost and CO₂ emission values. With this purpose, a comparison has been conducted with the Building Information Modeling applications for the alternative status of the building determined according to the variables such as the current location of the building, orientation, southern facade transparency ratio and the outer wall insulation material and thickness.In this respect; the lifecycle cost being 62810 USD in the current state has been attained as 46574 USD for the formed alternative state. CO₂ emission values attained for the fuel consumption have been respectively 6.2 Mg and 3.3 Mg for the current and alternative states. Consequently; the fact that the energy performances of the buildings could be enhanced using the BIM based programs for an applied building or a building that is at the design stage and the environmental impact to be provided in this way have been concretely revealed. 

Anahtar Kelimeler

Building Information Modeling, Energy Analysis, Lifecycle Cost, CO2 emission

Kaynakça

• Abanda, F.H. ve Byers, L., 2016. An investigation of the impact of building orientation on energy consumption in a domestic building using emerging BIM(Building Information Modelling), Energy, 97, 517-527.
• Akcatir, M.A., Nacar M.A. and Yeşilata, B., 2011. A short assessment on software for energy efficiency in buildings, X. National Installation Engineering Congress, Energy Performance in Buildings Symposium, İzmir, Turkey 13-16 April, p. 853-862.
• Antonio Galiano-Garrigós, Alicia García-Figueroa, Carlos Rizo-Maestre & Ángel González-Avilés (2019) Evaluation of BIM energy performance and CO2 emissions assessment tools: a case study in warm weather, Building Research & Information, 47:7, 787-812.
• Armutlu. S.G., 2019. Energy analysis in buildings with building information modelling applications, Master Thesis, Fırat University, Institute of Science, Elazığ, Turkey. Autodesk Revit. BIM based program. [Internet]. [cited October 2019] Available from: https://knowledge.autodesk.com/support/revit-products.
• Bueno, C. and Fabricio, M., 2018, Comparative analysis between a complete LCA study and results from a BIM-LCA plug-in, Automation in Construction, 90, 188-200. Douglass, C.D., 2010. Instructional modules demonstrating building energy analysis using a building information model, Master of Science Thesis, University of Illinois at Urbana, Champaign.
• Flores M.S.M., 2016. Building performance evaluation using Autodesk Revit for optimising the energy consumption of an educational building on subtropical highland climate: A case of study in Quito, Ecuador, Master Thesis in Renewable Energy and Architecture, The University of Nottingham, UK.
• Harputlugil, G., 2007. Architectural design process in the building energy simulation program applications, Technology, 10, 249-265.IEA (International Energy Agency), 2018. The Future of Cooling, Opportunities for energy-efficient air conditioning, Paris, France [Internet]. [cited July 2019]. Available from: http://www.iea.org/pub.htm.
• Işın, A., 2016. A model proposal for concept design of residential buildings and settlements considering energy efficiency, Master Thesis, İ.T.Ü., İstanbul,Turkey.Jonathan Shi (2017) A quantitative method for assessing home envelope's energy performance using measured data, International Journal of Construction Management, 17:2, 89-99.
• Jongwook Jeon, Jaehyuk Lee & Youngjib Ham (2019) Quantifying the impact of building envelope condition on energy use, Building Research & Information, 47:4, 404- 420.
• Karakoç, T.H. Turan, O. Binyıldız, E. ve Yıldırım, E., Thermal Insulation, 1st edn. Rota, Istanbul 2011.
• Kuo, H. Hsieh, S. Guo, R. Chan, C., 2014. A verification study for energy analysis of BIPV buildings with BIM, Energy and Buildings, 130, 676-691.
• Le, M.K., 2014. Autodesk Green Building Studio for an energy-efficient sustainable building, Bachelor’s Thesis, HAWK Univercity of Applied Sciences, Germany.
• Leinartas, H.A. ve Stephens. B,, 2015. Optimizing whole house deep energy retrofit packages: a case study of existing chicago-area homes, Buildings, 5, 323-353. Martin, P., 2013. Building Information Modelling (BIM) based energy analysis and response to low carbon construction innovations, MSc. in Energy Management, Institute of Technology Sligo, Ireland.
• Öktem, S. and Ergen, .E. 2017. Operational framework for the transition to BIM, 7th International Construction Management Congress with International Participation, Samsun, Turkey. 06-07 October, 627-635.
• Poorang Piroozfar, Francesco Pomponi & Eric R.P. Farr (2016) Life cycle assessment of domestic hot water systems: a comparative analysis, International Journal of Construction Management, 16:2, 109-125.
• Röck, M., Hollberg, A., Habert, G. and Passer, A., 2018. LCA and BIM: Visualization of enviromental potentials in building construction at early design stages, Building and Environment, 140, 153-161.
• Sancaktar, O. 2015. Investigation on the building an application example in heating performance, Master Thesis, İ.T.Ü., İstanbul,Turkey.
• Savaşkan, M.O., 2015. A BIM based open source system model for high energy performance resıdentıal buildings, Master Thesis, İ.T.Ü., İstanbul,Turkey.
• Soust-Verdaguer, B., Llatas, C. and Garcia- Martinez, A., 2016. Simplification in life cycle assessment of single-family houses: A review of recent developments, Building and Enrironment, 103, 215-227.
• Tuik, Turkish Stattiscal Institute. [Internet]. [cited September 2017]. Available from: http://www.tuik.gov.tr/Start.do.