Abstract
The present building retrofits have huge prospects for reducing global energy consumption and greenhouse gas emission. Consequently, it is regarded as one of the primary low-cost strategies for achieving sustainable development in the built environment. Although various retrofitting solutions are available, identifying the most cost-effective procedures for each project remain a significant technical obstacle. Different projects have been produced as a result, in various areas of the globe to this challenge; nevertheless, many of the tools serve only a local purpose and are therefore unknown on the international stage, indicating a restricted transfer of knowledge. This review organizes the outcomes into three categories: remodeling evaluation, financial evaluation, and knowledge transfer. The tools focusing on promoting the renovation of buildings differ in the type of user, for example, the owners, politicians, or investors. The tools dealing with financial assessment suggest different methods to evaluate and calculate the cost savings, construction costs, and return forecasts through retrofit interventions. The financial evaluation tools provide various techniques for evaluating and calculating the cost reductions, construction expenses, and return projections associated with retrofit initiatives. Other tools adhere to the policies that aim to register, analyze, and classify existing structures. This analysis provides researchers, construction professionals, and policymakers with a better grasp of the advancements made to properly design building retrofitting techniques, promote energy conservation, and analyze building stock for the formulation of policies. The analysis demonstrates that the various retrofitting tools have had the potential to combine their skills, hence creating different prospects for innovation.
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References
Oh TH, Pang SY, Chua SC (2010) Energy policy and alternative energy in Malaysia: issues and challenges for sustainable growth renewable and sustainable. Energy Rev 14:1241–1252
Kamarudin K, Harun R, Jaapar A, Yahya Z (2013) Retrofitting as environmental hybrid approach (EHA) in conservation works on historical buildings in Malaysia computational methods in applied sciences. Springer, Germany
Kok N, Miller N, Morris P (2012) The economics of green retrofits. J Sustain Real Estate 4(1):4–22
Boeri A, Gabrielli L, Longo D (2011) Evaluation and feasibility study of retrofitting interventions on social housing in Italy. Proc Eng 21:1161–1168
National Refurbishment Centre (NRC) (2011) Retrieved on June 15, 2017 from http://www.rethinkingrefurbishment.com
EHA (2010) The existing homes alliance 2010 manifesto retrieved on November 1 2017 from http://assets.wwf.org.uk/downloads/existing_homes_alliance_manifesto_2010.pdf
Nazria AQ, Mohammad IS, Babab M, Zainol NN, Lokman MAA, Woon NB, Ramli NA (2015) The need for retrofitting to achieve sustainability of Malaysian. Build J Technol 75(10):171–176
Miller NG, Pogue D, Gough QD, Davis SM (2009) Green buildings and productivity. J Sustain Real Estate 1:65–89
Miller E, Buys L (2008) Retrofitting commercial office buildings for sustainability: Tenants’ perspectives. J Prop Invest Financ 26(6):552–561
Jordan M, McCarty T, Velo B (2009) The performance measurement challenge. J Corpor Real Estate 11(2):106–114
Kamarudin K, Yahya Z, Jaapar A, Harun R (2015) The options of project financing and funding for retrofitting the historical building In Malaysia Australian. J Basic Appl Sci 9(7):179–181
Mohd RE, Mohd AM, Rostam Y, Ahmad AH, Hamimah A (2011) Obstacles in implementing green building projects in Malaysia. Austr J Basic Appl Sci 5(12):1806–1812
Iyer TS, Rao NR (1970) Model studies on funicular shells and rafts on sands. In: Proceedings of the Symposium on Shallow Found, Bombay, India 1, 149–156
Kurian NP, Jeyachandran SR (1972) Model studies on the behaviour of sand under two and three dimensional shell foundations. Indian Geotech J 2(1):79–90
Agarwal KB, Gupta RN (1977) Soil-structure interaction in shell foundations. In: Proceedings of the International Workshop on Soil Structure Interaction, Roorkee, India. pp 110–112
Hanna AM, Abdel-Rahman MM (1998) Experimental investigation of shell foundation on dry sand. Can Geotech J 35:847–857
Kurian NP, Varghese PC (1969) Discussion of “Design and testing of cone and hyper footings.” J Soil Mech Found Eng 95:415–416
Kurian NP, Mohan CS (1981) Contact pressure under shell foundations. In Proc. 10th International Conference on Soil Mechanics and Foundation Engineering, Stockholm, Sweden 2, 15–168
Kurian NP (2004) Shell foundations-rationale and use. International e-Conference on Modern Trends in Foundation Engineering: Geotechnical Challenges Solutions, pp 21–26
Egyptian Code of practice and design for R.C. structures, The Housing and Building National Research Centre of Egypt, ECP 203, Cairo-Egypt, 2007
Boton C, Forgues D (2018) Practices and processes in BIM projects: an exploratory case study. Adv Civ Eng 8:1–12
Business EK, Cairo I (2011) Cases on business and management in the MENA region: new trends and opportunities. Hershey, Pa: Business Science Reference
Chen J, Poon C, Sun J (2009) Photo-catalytic construction and building materials: from fundamentals to applications. Build Environ 44:1899–1906
Chen K, Lu W, Peng Y, Rowlinson S, Huang GQ (2015) Bridging BIM and building: from a literature review to an integrated conceptual framework. Int J Project Manage 33(6):1405–1416. https://doi.org/10.1016/j.ijproman.2015.03.006
Chen Y (1996) Modeling and analysis methods of bridges and their effects on seismic responses: II—Implementation. Comput Struct 59(1):99–114. https://doi.org/10.1016/0045-7949(95)00226-x
Eastman CM, Teicholz PM, Sacks R, Lee G (2018) BIM handbook: a guide to building information modeling for owners, managers, designers, engineers and contractors. Wiley, Hoboken
Guo F, Turkan Y, Jahren CT, David Jeong H (2014) Civil information modeling adoption by Iowa and Missouri DOT. Comput Civ Build Eng. https://doi.org/10.1061/9780784413616.058
Ham Y, Golparvar-Fard M (2015) Mapping actual thermal properties to building elements in gbXML-based BIM for reliable building energy performance modelling. Autom Constr 49:214–224. https://doi.org/10.1016/j.autcon.2014.07.009
Hamdi O, Leite F (2014) Conflicting side of building information modeling implementation in the construction industry. J Leg Aff Disput Resolut Eng Constr 6(3):03013004
Ji A, Zhang S, Bhagia S (2020) 3D printing of biomass-derived composites: Application and characterization approaches. RSC Adv 10:21698–21723
Jin R, Zhong B, Ma L, Hashemi A, Ding L (2019) Integrating BIM with building performance analysis in project life cycle. Autom Constr 106:102861. https://doi.org/10.1016/j.autcon.2019.102861
Latif E, Lawrence M, Shea A, Walker P (2016) In situ assessment of the fabric and energy performance of five conventional and non-conventional wall systems using comparative coheating tests. Build Environ 109:68–81
Lee DG, Park JY, Song SH (2018) BIM-based construction information management framework for site information management. Adv Civi Eng 5:1–14
Liu Y, Van Nederveen S, Wu C, Hertogh M (2018) Sustainable infrastructure design framework through integration of rating systems and building information modelling. Adv Civ Eng 2018:1–13
Mitterhofer M, Schneider GF, Stratbücker S, Steiger S (2018) Semantics for assembling modular components in a scalable building performance simulation. J Build Perform Simul 12(2):145–159. https://doi.org/10.1080/19401493.2018.1492020
Monroy CR, Hernandez ASS (2008) Strengthening financial innovation energy supply projects for rural communities in developing countries. Int J Sust Dev World 15(5):471–483
National Institute of Building Sciences (NIBS), United States national building information modeling standard version 1—part 1: overview, principles, and methodologies, Final Report, The Northern American Chapter of building SMART International (bSI), Washington, DC, 2007 https:// buildinginformationmanagement.files.wordpress.com/2011/06/nbimsv1_p1.pdf.
Zhutovsky S, Kovler K (2012) Effect of internal curing on durability-related properties of high performance concrete. Cem Concr Res 42(1):20–26
Wang Y, Liu F, Yu J, Dong F, Ye J (2020) Effect of polyethylene fiber content on physical and mechanical properties of engineered cementations composites. Constr Build Mater 251:118917
Hou C, Zheng W, Wu X (2020) Structural state of stress analysis of confined concrete based on the normalized generalized strain energy density. J Build Eng 31:101321
Najjar MK, Tam VWY, Di Gregorio LT, Evangelista ACJ, Hammad AWA, Haddad A (2019) Integrating parametric analysis with building information modeling to improve energy performance of construction projects. Energies 12(8):1515. https://doi.org/10.3390/en12081515
Okasha NM, Frangopol DM (2011) Computational platform for the integrated life-cycle management of highway bridges. Eng Struct 33(7):2145–2153. https://doi.org/10.1016/j.engstruct.2011.03.005
Olsen KH (2007) The clean development mechanism’s contribution to sustainable development: a review of the literature. Clim Change 84(1):59–73
Sadeghifam NA, Marsono AK, Kiani I, Isikdag U, Bavafa AA, Tabatabaee S (2016) Energy analysis of wall materials using building information modeling (Bim) of public buildings in the tropical climate countries. J Technol. https://doi.org/10.11113/jt.v78.7591
Silva MJF, Salvado F, Couto P, Azevedo ÁV (2016) Road map proposal for implementing building information modelling (BIM) in Portugal. Open J Civ Eng 6(3):475–481
Smith KR, Ezzati M (2005) How environmental health risks change with development: the epidemiologic and environmental risk transitions revisited. Annu Rev Environ Resour 30(1):291–333
Smith M, Edgar A (2008) Building information modelling, Information on http://www.wbdg.org/bim/bim.php
Steurer R, Martinuzzi A (2007) From environmental plans to sustainable development strategies. Eur Environ 17(3):147–151
Swarup Kumar JNVR et al (2018) Smart city concept based on the internet of things using cloud data analytics. J Adv Res Dyn Control Syst 10:1943
Tolman FP (1999) Product modelling standards for the building and construction industry: past, present and future. Autom Constr 8(3):227–235
Tomek A, Matějka P (2014) The impact of BIM on risk management as an argument for its implementation in a construction company. Proc Eng 85:501–509. https://doi.org/10.1016/j.proeng.2014.10.577
Van Nederveen S, Beheshti R, Gielingh W (2010) Modeling concepts for BIM. In: Handbook of research on building information modeling and construction informatics: concepts and technologies. IGI Global. pp 1–18
Bentz DP, Jensen OM (2004) Mitigation strategies for autogenous shrinkage cracking. Cement Concr Compos 26(6):677–685
Wang Y, Wang X, Wang J, Yung P, Jun G (2013) Engagement of facilities management in design stage through BIM: framework and a case study. Adv Civ Eng 4:1–8
Won J, Lee G, Dossick C, Messner J (2013) Where to focus for successful adoption of building information modeling within organization. J Constr Eng Manag 139(11):04013014
Zou Y, Kiviniemi A, Jones SW (2017) A review of risk management through BIM and BIM-related technologies. Saf Sci 97:88–98. https://doi.org/10.1016/j.ssci.2015.12.027
Han S, Yao R, Essah E (2023) Developing a theoretical framework to assist policymaking for retrofitting residential buildings using system player analysis and causal loop diagrams. J Clean Prod 411:137211
Adly B, El-Khouly T (2022) Combining retrofitting techniques, renewable energy resources and regulations for residential buildings to achieve energy efficiency in gated communities. Ain Shams Eng J 13:101772
Apostolopoulos V, Giourka P, Martinopoulos G, Angelakoglou K, Kourtzanidis K, Nikolopoulos N (2022) Smart readiness indicator evaluation and cost estimation of smart retrofitting scenarios - A comparative case-study in European residential buildings. Sustain Cities Soc 82:103921
Elsayed M, Pelsmakers S, Pistore L, Castano-Rosa R, Romagnoni P (2023) Post-occupancy evaluation in residential buildings: A systematic literature review of current practices in the EU. Build Environ 236:110307
Pasichnyi O, Levihn F, Shahrokni H, Wallin J, Kordas O (2019) Data-driven strategic planning of building energy retrofitting: the case of Stockholm. J Clean Prod 233:546–560
Veerendra GTN, Dey S, Phani Manoj AV, Kumaravel B (2022) Life cycle assessment for a suburban building located within the vicinity using Revit Architecture. J Build Pathol Rehabil. https://doi.org/10.1007/s41024-022-00199-6
Zhanbolatov A, Zhakiyeva S, Azibek B, Zhakiyev N, Kayisli K, Tursyngul D (2022) A multi-carrier energy method for self-consumption enhancement in smart residential buildings. In 2022 11th International Conference on Renewable Energy Research and Application (ICRERA), Istanbul, Turkey, 2022, 388–394
Zhakiyev N, Akhmetbekov Y, Silvente J, Kopanos GM (2018) Optimal energy dispatch and maintenance of an industrial coal-fired combined heat and power plant in Kazakhstan. Energy Proc 142:2485–2490
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The authors are thankful for the support from all the faculty members and laboratory in charges of Civil Engineering Department, Gudlavalleru Engineering College.
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Dey, S., Veerendra, G.T.N. & Aparna, O. A systematic analysis of retrofitting tools in the residential buildings to improve the energy performances by using the STAAD Pro Software. Innov. Infrastruct. Solut. 8, 221 (2023). https://doi.org/10.1007/s41062-023-01192-9
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DOI: https://doi.org/10.1007/s41062-023-01192-9