Evaluation of energy efficient building envelope alternatives for sustainable cities

Yıl 2023, , 131 - 150, 23.06.2023

Alper Balo , Serhat Karyeyen

https://doi.org/10.58559/ijes.1219774

Cited By: 2

Öz

This study is aimed to create an exemplary project to present the contribution of the new buildings to energy savings when the residential buildings are transformed into green buildings. To create a sustainable built environment in residences, this study emphasizes that low-energy building strategies be combined with efficient and high-performance natural-sourced materials. Our findings show that using a natural-sourced material as the building envelope material has an impact on the use of primary energy and energy costs of the alternatives studied. In this study; In the case of replacing the building external wall components of an existing construction designed with internal insulation in the climatic conditions of Ankara, the change in energy performance has been investigated. The analysis was done with the help of BIM-based Revit Program and “Green buildings studio” where energy simulations were created. In the study, 54 different wall combinations were created by modeling combinations of different construction (porous, gas concrete, and pumice bricks), insulation (glass wool, rock wool, sheep wool, PUR, XPS, and EPS) and, roof (tile, asphalt shingle, and green roof) materials. When the outputs obtained from the analyzes were evaluated, the lowest energy consumption values were observed in the combination of pumice brick wall, green roof, and polyurethane insulation materials. In this scenario, the annual fuel consumption per square meter is determined as 30000.6 MJ/m2. On the other hand, the highest energy consumption values were observed in the combination of porous brick wall, tile roof and sheep wool insulation materials. In this scenario, the annual energy consumption per square meter is determined as 30026.6 MJ/m2. Although there are not high numerical differences between the findings, it has been observed that the results give consistent results with the thermal conductivity coefficients of the materials used in the combinations.

Anahtar Kelimeler

Revit, BIM, Green buildings studio, Green building, Energy performance

Destekleyen Kurum

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Proje Numarası

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Teşekkür

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Kaynakça

• [1] Yaka GF. Binalarda Enerji Performansının Belirlenmesinde Antalya Örneği. 20. Ulusal Isı Bilimi ve Tekniği Kongresi, Balıkesir, Türkiye, 2015.
• [2] Hoffman AJ, Henn R. Overcoming the social and psychological barriers to green building. Organization & Environment, 2008; 21.4: 390-419.
• [3]Environmental Protection Agency.(n.d.).EPA. https://archive.epa.gov/greenbuilding/web/html/
• [4] Zuo J, Zhao ZY. Green building research–current status and future agenda: A review. Renewable and sustainable energy reviews. 2014; 30: 271-281.
• [5] Kuo CFJ, Lin CH, Hsu MW, Li MH. Evaluation of intelligent green building policies in Taiwan–Using fuzzy analytic hierarchical process and fuzzy transformation matrix. Energy and Buildings. 2017; 139: 146-159.
• [6] Yue W, Cai Y, Xu L, Tan Q, Yin XA. (2017). Adaptation strategies for mitigating agricultural GHG emissions under dual-level uncertainties with the consideration of global warming impacts. Stochastic environmental research and risk assessment. 2017; 31: 961-979.
• [7] Bayer O. Insulation materials. Energy Generation and Efficiency Technologies for Green Residential Buildings. 2019; 149–172.
• [8] Merritt FS, Ricketts JT. Building design and construction handbook. McGraw-Hill Education, 2001.
• [9] Howard JL. The federal commitment to green building: experiences and expectations. Federal Executive, Office Of The Federal Environmental Executive, Washington,2003.
• [10] Johnston D, Gibson S. Green from the Ground Up: Sustainable, Healthy and Energy-efficient Home Construction: a Builder's Guide. Taunton Press,2003.
• [11] Wang H, Chiang PC, Cai Y, Li C, Wang X, Chen TL, Huang Q. Application of wall and insulation materials on green building: a review. Sustainability. 2018; 10(9): 3331.
• [12] Özüpak ÖS. Determination of energy performance criteria in commercial buildings. MSc Thesis, ITU, 2008
• [13] Özcan H. Yapı Bilgi Sistemleri ve Mimarlıktaki Yeri. MSc Thesis, ITU, 2010.
• [14] Kamel E, Memari AM. Review of BIM's application in energy simulation: Tools, issues, and solutions. Automation in construction. 2019; 97: 164-180.
• [15] Douglass CD. Instructional modules demonstrating building energy analysis using a building information model. American Society for Engineering Education. 2011.
• [16] Moakher PE, Pimplikar SS. Building information modeling (BIM) and sustainability–using design technology in energy efficient modeling. IOSR Journal of Mechanical and Civil Engineering. 2012; 1(2): 10-21.
• [17] Shivsharan AS, Vaidya DR, Shinde RD. 3D Modeling and energy analysis of a residential building using BIM tools. Int. Res. J. Eng. Tech. 2017; 4(7): 629-636.
• [18] Henry AF, Elambo NG, Tah JHM, Fabrice OE, Blanche MM. Embodied energy and CO2 analyses of mud-brick and cement-block houses. AIMS’s Energy. 2014; 2(1): 18-40.
• [19] Koppinen T, Kiviniemi A. Requirements management and critical decision points. 2007.
• [20] Korkmaz S, Messner JI, Riley DR, Magent C. High-performance green building design process modeling and integrated use of visualization tools. Journal of Architectural Engineering. 2010; 16(1): 37-45.
• [21] Luziani S, Paramita B. Autodesk green building studio an energy simulation analysis in the design process. KnE Social Sciences. 2019; 735-749.
• [22] Aljundi K, Pinto A, Rodrigues F. Energy analysis using cooperation between bim tools (Revit and Green Building Studio) and Energy Plus. In Proceedings of the 1º Congresso Português de Building Information Modelling. Guimaraes, Portugal .2016; 24-25.
• [23] Flores MSM. 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. MSc Thesis, University of Nottingham,2016.
• [24] Otuh N. BIM Based Energy/Sustainability Analysis for Educational Building–A Case Study: Analysis of HAMK Building Extensions N and S using Autodesk Revit and GBS.2016.
• [25] Abanda FH, Byers L. An investigation of the impact of building orientation on energy consumption in a domestic building using emerging BIM (Building Information Modelling) Energy. 2016; 97: 517-527.
• [26] Kürekci N, Kaplan S. Isıtma ve Soğutma Yüklerinin HAP ve Revit Programlarıyla Hesaplanması. Tesisat Mühendisliği. 2014; 141.
• [27] Aguilar Leinartas H, Stephens B. Optimizing whole house deep energy retrofit packages: A case study of existing chicago-area homes. Buildings. 2015; 5(2): 323-353.
• [28] Le MK. Autodesk® Green Building Studio for an Energy-Efficient, Sustainable Building. 2014.
• [29] Kuo HJ, Hsieh SH, Guo RC, Chan CC. (2016). A verification study for energy analysis of BIPV buildings with BIM. Energy and buildings. 2016; 130: 676-691.
• [30] Duncan D. Specifying Masonry Systems in NBS create. https://www.thenbs.com/knowledge/specifying- masonry-systems-in-nbs-create . 2014.
• [31] TS 825, T. S. Thermal insulation requirements for buildings. 2018.
• [32] Dikmen N, Ozkan STE. Unconventional insulation materials. Insulation Materials in Context of Sustainability. 2016.
• [33] Ramesh SP, Khan E. Energy efficiency in green buildings–Indian concept. International Journal of Emerging Technology and Advanced Engineering. 2013; 3(3): 329-336.
• [34] Khalid F, Dincer I, Rosen MA. Techno-economic assessment of a renewable energy based integrated multigeneration system for green buildings. Applied Thermal Engineering. 2016; 99: 1286-1294.
• [35] Shi Q, Yan Y, Zuo J, Yu T. Objective conflicts in green buildings projects: A critical analysis. Building and Environment. 2016; 96: 107-117.
• [36] Dwaikat LN, Ali KN. Green buildings cost premium: A review of empirical evidence. Energy and Buildings. 2016; 110: 396-403.
• [37] Zhao D, McCoy A, Du J. An empirical study on the energy consumption in residential buildings after adopting green building standards. Procedia Engineering. 2016; 145: 766-773.