All Issue

2024 Vol.15, Issue 3 Preview Page

General Article

The impact of digital technologies on energy-efficient buildings: BIM and AI-based study
Moses Itanola1
,
Seoung-Wook Whang2*
1Researcher, Belfast School of Architecture and the Built Environment, Ulster University, UK
2Senior lecturer, School of Architecture Computing and Engineering, University of East London, UK
*Corresponding Author
30 September 2024. pp. 392-412
PDF XML Citation
Abstract

The building and construction sector significantly contributes to global energy consumption and carbon emissions, necessitating the exploration of innovative solutions for sustainability. This study investigates the transformative impact of digital technologies, specifically Building Information Modelling (BIM) and Artificial Intelligence (AI), on the development of energy-efficient buildings. By conducting a comprehensive scientometric and systematic review of 559 publications from 2010 to 2023, the research identifies prevailing trends, significant advancements, and existing challenges in the field. The findings reveal that BIM and AI hold substantial potential for enhancing energy efficiency during the early design and construction stages, facilitating better decision-making, reducing errors, and optimizing resource use. The study also highlights 14 specific categories of significant barriers to widespread adoption. These categories include interoperability issues, knowledge gaps, process complexity, lack of standards, data unavailability, industry resistance, low client interest, high service costs, trust deficits, technical issues, inflated technology costs, workflow inefficiencies, design errors, and role ambiguities. Particularly, interoperability issues, data integration challenges, and high initial costs emerged as the most severe challenges, hindering the smooth implementation of these technologies. These challenges underscore the need for developing robust standards and fostering a culture of innovation within the industry. This paper synthesizes current research, offering valuable insights into the critical role of digital construction technologies in advancing sustainable building practices and outlining directions for future research to overcome existing limitations.

Keywords
building information modelling (BIM)
artificial intelligence (AI)
energy-efficient buildings
digital construction technologies
References
1

M. Shan, B.G. Hwang, and L. Zhu, A Global Review of Sustainable Construction Project Financing: Policies, Practices, and Research Efforts. Sustainability. 9 (2017), 2437.

10.3390/su9122347
2

K. Otte, T. Stelmach, V. Chandan, and A. Delgado, Digitalisation for the Energy Efficiency of Buildings Operations: Lessons Learned from the EE Hub Digitalisation Working Group, Richland, Washington: Pacific Northwest National Library, 2022.

3

United Nations Environment Programme, Global Status Report for Buildings and Construction: Towards a Zero emission, Efficient and Resilient Buildings and Construction Sector, Nairobi: UNEP GlobalABC, 2022.

4

S. Khosla and S.K. Singh, Energy efficient buildings. International Journal of Civil Engineering Research. 5(4) (2014), pp. 361-366.

5

M. Casquiço, IT Innovation to Enhance Energy Efficiency on Buildings. In: Digital Technologies and Transformation in Business, Industry and Organizations. s.l.: Springer Cham, 2022, pp. 19-50.

10.1007/978-3-031-07626-8_2
6

L. Sanhudo, N.M. Ramos, J.P. Martins, R.M. Almeida, E. Barreira, M.L. Simões, and V. Cardoso, Building information modeling for energy retrofitting-A review. Renewable and Sustainable Energy Reviews. 89 (2018), pp. 249-260.

10.1016/j.rser.2018.03.064
7

K. Wang, F. Guo, C. Zhang, J. Hao, and D. Schaefer, Digital Technology in Architecture, Engineering and Construction (AEC) Industry: Research trend and Practical Status towards Construction 4.0. Arlington, Virginia, s.n., 2022, 983-992.

10.1061/9780784483978.100
8

Y.W. Lim, P.C.H. Ling, M.H. Ahmad, P.C. Leng, A.M. Yasir, W.L. Chan, and N.A. Rahman, Review of BIM for existing building sustainability performance and green retrofit. International Journal of Sustainable Building Technology and Urban Development. 12(2) (2021), pp. 110-125.

9

A. Volkov, A. Sedov, and P. Chelyshkov, Usage of building information modelling for evaluation of energy efficiency. Applied Mechanics and Materials. 409 (2013), pp. 630-633.

10.4028/www.scientific.net/AMM.409-410.630
10

J. Kim and D. Lee, A primary study on methodology of 3D construction information model for smart construction. International Journal of Sustainable Building Technology and Urban Development. 12(4) (2021), pp. 431-439.

11

A. Alhamami, I. Petri, and Y. Rezgui, Use-case analysis for assessing the role of Building Information Modeling in energy efficiency, in eWork and eBusiness in Architecture, Engineering and Construction. 2018, CRC Press, pp. 31-38.

10.1201/9780429506215-4
12

S. Habibi, Role of BIM and energy simulation tools in designing zero-net energy homes. Construction Innovation. 22(1) (2022), pp. 101-119.

10.1108/CI-12-2019-0143
13

A. Kramers and Ö. Svane, ICT applications for energy efficiency in buildings, Stockholm: KTH Centre for Sustainable Communications, 2011.

14

S.M. Sepasgozar and S. Davis, Digital construction technology and job-site equipment demonstration: Modelling relationship strategies for technology adoption. Buildings. 9(7) (2019), 158.

10.3390/buildings9070158
15

S. Habibi, The promise of BIM for improving building performance. Energy and Buildings. 153 (2017), pp. 525-548.

10.1016/j.enbuild.2017.08.009
16

B.G. Hwang, L. Zhu, and J.T.T. Ming, Productivity improvement strategies for green construction projects: performance comparison and critical factors. International Journal of Sustainable Building Technology and Urban Development. 8(1) (2017), pp. 45-53.

10.12972/susb.20170004
17

K.-S. Schober and P. Hoff, Digitization in the Construction Industry: Building Europe's Road to 'Construction 4.0', Munich. 2016, Germany: Roland Berger GMBH.

18

Q. Zhao, Z. Chen, Y. Zhu, Z. Li, and X. Hei, Toward Automatic Review of Building Energy Efficiency Based on Building Information Modeling, 12th International Conference on Computational Intelligence and Security (CIS), (2017), pp. 213-217.

10.1109/CIS.2016.0057
19

X.H. Song, Research on building energy technology based on BIM, Applied Mechanics and Materials, Conference Paper, 686 (2014), pp. 486-490.

10.4028/www.scientific.net/AMM.686.486
20

S. Kuna and M. Brazley, Design of net zero energy phygital office building - A Future prospective study. International. Journal of Sustainable Building Technology and Urban Development. 15(2) (2024), pp. 198-211.

21

C. Merschbrock and B.E. Munkvold, Effective digital collaboration in the construction industry-A case study of BIM deployment in a hospital construction project. Computers in Industry. 73 (2015), pp. 1-7.

10.1016/j.compind.2015.07.003
22

J.O. Toyin and M.C. Mewomo, Critical review of the impacts of successful BIM technology application on construction projects. In: T. C. Haupt, et al. eds. Construction in 5D: Deconstruction, Digitalization, Disruption, Disaster, Development: Proceedings of the 15th Built Environment Conference. s.l.: Springer, (2022), pp. 65-77.

10.1007/978-3-030-97748-1_6
23

M.B. Shishehgarkhaneh, A. Keivani, R.C. Moehler, N. Jelodari, and S. Roshdi Laleh, Internet of Things (IoT), Building Information Modeling (BIM), and Digital Twin (DT) in Construction Industry: A Review, Bibliometric, and Network Analysis. Buildings. 12(10) (2022), 1503.

10.3390/buildings12101503
24

V. Pereira, J. Santos, F. Leite, and P. Escórcio, Using BIM to improve building energy efficiency-A scientometric and systematic review. Energy and Buildings. 250 (2021), 111292.

10.1016/j.enbuild.2021.111292
25

A. Osello, G. Cangialosi, D. Dalmasso, A. Di Paolo, M.L. Turco, P. Piumatti, and M. Vozzola, Architecture data and energy efficiency simulations: BIM and interoperability standards. Sydney, s.n., 2011, pp. 2210-2217.

26

A.S. Elgohary, H.M. Elbadrawy, and S. Khashaba, Optimizing energy performance using silica aerogel material in building envelope. International Journal of Sustainable Building Technology and Urban Development. 13(1) (2022), pp. 69-83.

27

H. Homayouni, C.S. Dossick, and G. Neff, Three pathways to highly energy efficient buildings: Assessing combinations of teaming and technology. Journal of Management in Engineering. 37(2) (2021), 04020110.

10.1061/(ASCE)ME.1943-5479.0000883
28

F. Craveiroa, J.P. Duarte, H. Bartolo, and P.J. Bartolo, Additive manufacturing as an enabling technology for digital construction: A perspective on Construction 4.0. Automation in Construction. 103 (2019), pp. 251-267.

10.1016/j.autcon.2019.03.011
29

R. Long and Y. Li, Research on energy-efficiency building design based on bim and artificial intelligence. 2021, s.l.: IOP Publishing, 012003.

10.1088/1755-1315/825/1/012003
30

M. Afzal and M.T. Shafiq, Evaluating 4D-BIM and VR for effective safety communication and training: A case study of multilingual construction job-site crew. Buildings. 11(8) (2021), 319.

10.3390/buildings11080319
31

Y. Cho, M. Oh, S. Park, and S. Lee, Efficiency and possibility of data-driven smart cities. Journal of Sustainable Building Technology and Urban Development. 12(4) (2021), pp. 323-334.

32

R. Bortolini, R. Rodrigues, H. Alavi, L.F.D. Vecchia, and N. Forcada, Digital Twins' Applications for Building Energy Efficiency: A Review. Energies. 15(19) (2022), 7002.

10.3390/en15197002
33

P. Zardo, L.A. Ribeiro, and A.Q. Mussi, Bim and parametric design applications for buildings' energy efficiency: An analysis of practical applications. Arquiteturarevista. Universidade do Vale do Rio dos Sinos. 15(2) (2019), pp. 238-255.

34

J.S. Chou and D.K. Bui, Modeling heating and cooling loads by artificial intelligence for energy-efficient building design. Energy and Buildings. 82 (2014), pp. 437-446.

10.1016/j.enbuild.2014.07.036
35

G. Patil, Applications of artificial intelligence in construction management. International Journal of Research in Engineering. 32(3) (2019), pp. 21-28.

36

H. Kim, A. Stumpf, and R. Schneider, Developing energy efficient building design in machine learning, in: 2010-27th International Symposium on Automation and Robotics in Construction. ISARC 2010, (2010), pp. 498-504.

10.22260/ISARC2010/0053
37

J.L. Blanco, S. Fuchs, M. Parsons, and M.J. Ribeirinho, Artificial intelligence: Construction technology's next frontier. Building Economist. (2018), pp. 7-13.

38

R. Taherkhani, S. Shaahnazari, N. Hashempour, and F.Taherkhani, Sustainable cities through the right selection of vegetation types for green roofs. International Journal of Sustainable Building Technology and Urban Development. 13(3) (2022), pp. 365-388.

39

Y. Pan and L. Zhang, Integrating BIM and AI for Smart Construction Management: Current Status and Future Directions. Archives of Computational Methods in Engineering. (2022), pp. 1-30.

10.1007/s11831-022-09830-8
40

M. Regona, T. Yigitcanlar, B. Xia, and R.Y.M. Li, Opportunities and adoption challenges of AI in the construction industry: a PRISMA review. Journal of open innovation: technology, market, and complexity. 8(1) (2022), 45.

10.3390/joitmc8010045
41

M.U. Mehmood, D. Chun, H. Han, G. Jeon, and K. Chen, A review of the applications of artificial intelligence and big data to buildings for energy-efficiency and a comfortable indoor living environment. Energy and Buildings. 202 (2019), 109383.

10.1016/j.enbuild.2019.109383
42

R. Sacks, T. Bloch, M. Katz, and R. Yosef, Automating design review with artificial intelligence and BIM: State of the art and research framework. Computing in Civil Engineering 2019: Visualization, Information Modeling, and Simulation. (2019), pp. 353-360.

10.1061/9780784482421.045
43

M.M. Singh, S. Singaravel, and P. Geyer, Information Exchange Scenarios between Machine Learning Energy Prediction Model and BIM at Early Stage of Design. In Proceedings of the Sixth International Symposium on Life-Cycle Civil Engineering (IALCCE 2018). Ghent, Belgium, (2019).

44

Z. Jianfeng, J. Yechao, and L. Fang, Construction of Intelligent Building Design System Based on BIM and AI. Proc., 2020 5th International Conference on Smart Grid and Electrical Automation (ICSGEA), IEEE, (2020), pp. 277-280.

10.1109/ICSGEA51094.2020.00066
45

H.M. Khan and F.A. Alkhalifa, Using smart sustainable city indicators to evaluate urban quality in the Kingdom of Bahrain. International Journal of Sustainable Building Technology and Urban Development. 14(3) (2023), pp. 299-319.

46

S. Das, A. Swetapadma, and C. Panigrahi, A study on the application of artificial intelligence techniques for predicting the heating and cooling loads of buildings. Journal of Green Building. 14(3) (2019), pp. 115-128.

10.3992/1943-4618.14.3.115
47

O.O. Akinade, BIM-based software for construction waste analytics using artificial intelligence hybrid models. s.l.: Doctoral dissertation, University of the West of England, 2017.

48

Z. Pučko, D. Maučec, and N. Šuman, Energy and cost analysis of building envelope components using BIM: A systematic approach. Energies. 13(10) (2020), 2643.

10.3390/en13102643
49

X. Du, Construction cost simulation based on artificial intelligence and BIM. Scientific Programming. (2021), pp. 1-11.

10.1155/2021/9744286
50

S. Banihashemi, G. Ding, and J. Wang, Developing a framework of artificial intelligence application for delivering energy efficient buildings through active BIM, Sydney, Australia: RICS COBRA AUBEA 2015, 2015.

51

M. Arbab, M. Rahbar, and M. Arbab, A comparative study of artificial intelligence models for predicting interior illuminance. Applied Artificial Intelligence. 35(5) (2021), pp. 373-392.

10.1080/08839514.2021.1882794
52

S. Summa, A. Mircoli, D. Potena, G. Ulpiani, C. Diamantini, and C. Di-Perna, Combining artificial intelligence and building engineering technologies towards energy efficiency: the case of ventilated façades. Construction Innovation. 24(7) (2022), pp. 44-64.

10.1108/CI-11-2021-0229
53

M. Hannus, A.S. Kazi, and A. Zarli, ICT Supported Energy Efficiency in Construction. Strategic Research Roadmap and Implementation Recommendations, s.l.: s.n., 2010.

54

P. Geyer, M.M. Singh, and S. Sinaravel, Component-based machine learning for energy performance prediction by multiLOD models in the early phases of building design. Advanced Computing Strategies for Engineering. (2018), pp. 516-534.

10.1007/978-3-319-91635-4_27
55

R. Kim, S. Roh, and H. Kim, Investigation of relationship between carbon emission and building energy performance index for carbon neutrality. International Journal of Sustainable Building Technology and Urban Development. 14(3) (2023), pp. 426-433.

56

X. Yang, Y. Liu, S. Ergan, B. Akinci, R.M. Leicht, and J.I. Messner, Lessons learned from developing immersive virtual mock-ups to support energy- efficient retrofit decision making. s.l.: ASCE, 2013, pp. 210-217

10.1061/9780784413029.027
57

I.J. Ramaji, P. Gultekin-Bicer, R.W. Crowley, and J.D. Lambert, Investigation of leveraging BIM standards to facilitate sustainability evaluations from early stages of design. Computing in Civil Engineering. (2017), pp. 175-183.

10.1061/9780784480823.022
58

D. Kim and H. Jang, Evaluation of environmental impact change due to building envelopment retrofit by parts: green remodeling. International Journal of Sustainable Building Technology and Urban Development. 10(4) (2019), pp. 241-251.

59

M.H. El-Zoklah and T. Refaat, How to measure the green façades environmental effectiveness? a proposal to green façade systems technical guide. International Journal of Sustainable Building Technology and Urban Development. 12(2) (2021), pp. 154-169.

60

J. Parasonis, A. Keizikas, A. Endriukaitytė, and D. Kalibatienė, Architectural solutions to increase the energy efficiency of buildings. Journal of Civil Engineering and Management. 18(1) (2012), pp. 71-80.

10.3846/13923730.2011.652983
61

J. Parasonis, A. Keizikas, and D. Kalibatiene, The relationship between the shape of a building and its energy performance. Architectural Engineering and Design Management. 8(4) (2012), pp. 246-256.

10.1080/17452007.2012.675139
62

H. Omrany, A. Ghaffarianhoseini, A. Ghaffarianhoseini, K. Raahemifar, and J. Tookey, Application of passive wall systems for improving the energy efficiency in buildings: A comprehensive review. Renewable and Sustainable Energy Reviews. 62 (2016), pp. 1252-1269.

10.1016/j.rser.2016.04.010
63

S. Charisi, The role of the building envelope in achieving nearly-zero energy buildings (nZEBs). Procedia Environmental Sciences. 38 (2017), pp. 115-120.

10.1016/j.proenv.2017.03.092
64

P.L. Simona, P. Spiru, and V.I. Ion, Increasing the energy efficiency of buildings by thermal insulation. Energy Procedia. 128 (2017), pp. 393-399.

10.1016/j.egypro.2017.09.044
65

R. Carli, M. Dotoli, R. Pellegrino, and L. Ranieri, A decision making technique to optimize a buildings' stock energy efficiency. IEEE transactions on systems, man, and cybernetics: systems. 47(5) (2016), pp. 794-807.

10.1109/TSMC.2016.2521836
66

M. Sztubecka, M. Skiba, M. Mrówczyńska, and A. Bazan-Krzywoszańska, An innovative decision support system to improve the energy efficiency of buildings in urban Areas. Remote Sensing. 12(2) (2020), 259.

10.3390/rs12020259
67

A.J. Morán, P. Profaizer, M.H. Zapater, M.A. Valdavida, and I.Z. Bribián, Information and Communications Technologies (ICTs) for energy efficiency in buildings: Review and analysis of results from EU pilot projects. Energy and Buildings. 127 (2016), pp. 128-137.

10.1016/j.enbuild.2016.05.064
68

M. Casquiço, IT Innovation to Enhance Energy Efficiency on Buildings. In: Digital Technologies and Transformation in Business, Industry and Organizations. s.l.: Springer Cham, 2022, pp. 19-50.

10.1007/978-3-031-07626-8_2
69

V.J. Gan, I.M. Lo, J. Ma, K.T. Tse, J.C. Cheng, and C.M. Chan, Simulation optimisation towards energy efficient green buildings: Current status and future trends. Journal of Cleaner Production. 254 (2020), 120012.

10.1016/j.jclepro.2020.120012
70

J. Noailly, Improving the energy efficiency of buildings: The impact of environmental policy on technological innovation. Energy Economics. 34(3) (2012), pp. 795-806.

10.1016/j.eneco.2011.07.015
71

L. Shen, B. He, L. Jiao, X. Song, and X. Zhang, Research on the development of main policy instruments for improving building energy-efficiency. Journal of Cleaner Production. 112 (2016), pp. 1789-1803.

10.1016/j.jclepro.2015.06.108
72

A. Chel and G. Kaushik, Renewable energy technologies for sustainable development of energy efficient building. Alexandria Engineering Journal. 57(2) (2018), pp. 655-669.

10.1016/j.aej.2017.02.027
73

B. Alshuraiaan, Renewable energy technologies for energy efficient buildings: the case of Kuwait. Energies. 14(15) (2021), 4440.

10.3390/en14154440
74

P. Vijayan, Energy Consumption Prediction in Low Energy Buildings using Machine learning and Artificial Intelligence for Energy Efficiency. In 2022 8th international youth conference on energy (IYCE). (2022). DOI: 10.1109/IYCE54153.2022.9857548u.

10.1109/IYCE54153.2022.9857548
75

P. Verma, R. Savickas, S.M. Buettner, J. Strüker, O. Kjeldsen, and X. Wang, Digitalization: enabling the new phase of energy efficiency. Geneva: Group of Experts on Energy Efficiency, GEEE- 7, 2020.

76

M. David, A. Aubry, and W. Derigent, Towards energy efficient buildings: how ICTs can convert advances?. IFAC-PapersOnLine. 51(11) (2018), pp. 758-763.

10.1016/j.ifacol.2018.08.410
77

C. Debrah, A.P.C. Chan, and A. Darko, Artificial intelligence in green building. Automation in Construction. 137 (2022), 104192.

10.1016/j.autcon.2022.104192
78

P.W. Tien, S. Wei, J. Darkwa, C. Wood, and J.K. Calautit, Machine learning and deep learning methods for enhancing building energy efficiency and indoor environmental quality-a review. Energy and AI, (2022), 100198.

10.1016/j.egyai.2022.100198
79

A. Schlueter and P. Geyer, Linking BIM and Design of Experiments to balance architectural and technical design factors for energy performance. Automation in Construction. 86 (2018), pp. 33-43.

10.1016/j.autcon.2017.10.021
80

M.M. Singh, S. Singaravel, R. Klein, and P. Geyer, Quick energy prediction and comparison of options at the early design stage. Advanced Engineering Informatics. 46 (2020), 101185.

10.1016/j.aei.2020.101185
81

X.G. Zhao and C.P. Gao, Research on energy-saving design method of green building based on BIM technology. Scientific Programming. (2022), pp. 1-10.

10.1155/2022/2108781
82

M. Van Dessel, T. Maile, and J. O'Donnell, BIM to building energy performance simulation: An evaluation of current transfer processes. s.l.: International Building Performance Simulation Association. (2019), pp. 92-99.

83

P. Remmen, J. Cao, S. Ebertshäuser, J. Frisch, M. Lauster, T. Maile, J. O'Donnell, S. Pinheiro, J. Rädler, R. Streblow, and M. Thorade, An open framework for integrated BIM-based building performance simulation using Modelica. IBPSA Building Simulation Conference 2015, Hyderabad. (2015), pp. 379-386.

10.26868/25222708.2015.2384
84

T. Zhao, Z. Qu, C. Liu, and K. Li, BIM-based analysis of energy efficiency design of building thermal system and HVAC system based on GB50189-2015 in China. International Journal of Low-Carbon Technologies. 16(4) (2021), pp. 1277-1289.

10.1093/ijlct/ctab051
85

T. Vilutienė, R. Džiugaitė-Tumėnienė, D. Kalibatienė, and D. Kalibatas, How BIM Contributes to a Building's Energy Efficiency throughout Its Whole Life Cycle: Systematic Mapping. Energies. 14(20) (2021), 6680.

10.3390/en14206680
86

A. Onososen and I. Musonda, Barriers to BIM-based life cycle sustainability assessment for buildings: An interpretive structural modelling approach. Buildings. 12(3) (2022), 324.

10.3390/buildings12030324
87

N.K. Mustaffa and S.A. Kudus, Challenges and way forward towards best practices of energy efficient building in Malaysia. Energy. 259 (2022), 124839.

10.1016/j.energy.2022.124839
88

F.S. Hafez, B. Sa'di, M. Safa-Gamal, Y.H. Taufiq-Yap, M. Alrifaey, M. Seyedmahmoudian, A. Stojcevski, B. Horan, and S. Mekhilef, Energy Efficiency in Sustainable Buildings: A Systematic Review with Taxonomy, Challenges, Motivations, Methodological Aspects, Recommendations, and Pathways for Future Research. Energy Strategy Reviews. 45 (2023), 101013.

10.1016/j.esr.2022.101013
89

M. Ryghaug and K.H. Sørensen, How energy efficiency fails in the building industry. Energy Policy. 37(3) (2009), pp. 984-991.

10.1016/j.enpol.2008.11.001
90

M.T. Akinlolu, O.B. Olalusi, and T.C. Haupt, A scientometric review and meta-analysis of the health and safety of women in construction: structure and research trends. Journal of Engineering, Design and Technology. 19(2) (2021), pp. 446-466.

10.1108/JEDT-07-2020-0291
91

T.O. Olawumi, A.B. Saka, D.W. Chan, and N.S. Jayasena, Scientometric review and analysis: A case example of smart buildings and smart cities. In: E. Manu & J. Akotia, eds. Secondary research methods in the built environment. 2021, s.l.: Routledge, pp. 147-162.

10.1201/9781003000532-11
92

Z. Wu, C. Chen, Y. Cai, C. Lu, H. Wang, and T. Yu, BIM-based visualization research in the construction industry: A network analysis. International Journal of Environmental Research and Public Health. 16(18) (2019), 3473.

10.3390/ijerph16183473
93

E.I. Aghimien, D.H.W. Li, and E.K.-W. Tsang, Bioclimatic architecture and its energy-saving potentials: A review and future directions. Engineering. Construction and Architectural Management. 29(2) (2022), pp. 961-988.

10.1108/ECAM-11-2020-0928
94

Z. Liu, P. Li, F. Wang, M. Osmani, and P. Demian, Building Information Modeling (BIM) driven carbon emission reduction research: A 14-year bibliometric analysis. International Journal of Environmental Research and Public Health. 19(19) (2022), 12820.

10.3390/ijerph191912820
95

B.L. Tanko, W.P. Zakka, and W.N. Heng, BIM in the Malaysian construction industry: a scientometric review and case study. Engineering, Construction and Architectural Management. 31(3) (2022).

10.1108/ECAM-04-2021-0324
96

S.W. Whang and S.Y. Kim, Determining sustainable design management using passive design elements for a zero emission house during the schematic design. Energy and Buildings. 77 (2014), pp. 304-312.

10.1016/j.enbuild.2014.03.066
97

H.J. Koo and J.T. O'Connor, Building information modeling as a tool for prevention of design defects [review]. Construction Innovation. (2021). DOI: 10.1108/CI-02-2021-0033.

10.1108/CI-02-2021-0033
98

Y. Lu, Z. Wu, R. Chang, and Y. Li, Building Information Modeling (BIM) for green buildings: A critical review and future directions. Automation in Construction. 83 (2017), pp. 134-148.

10.1016/j.autcon.2017.08.024
99

M. Marzouk, R. Aymen, Z. Alwan, and N. Elshaboury, Green building system integration into project delivery utilising BIM. Environment. Development and Sustainability. 24(5) (2022), pp. 6467-6480.

10.1007/s10668-021-01712-6
100

E. Kamel and A.M. Memari, Review of BIM's application in energy simulation: Tools, issues, and solutions. Automation in Construction. 97 (2019), pp. 164-180.

10.1016/j.autcon.2018.11.008
101

J.P. Carvalho, L. Bragança, and R. Mateus, A systematic review of the role of BIM in building sustainability assessment methods. Applied Sciences. 10(13) (2020), 4444.

10.3390/app10134444
102

C.H. Wong, A.M. Samad, and N. Taib, Potential and limitation of AI system in building services and control management system. 2021, s.l.: IOP Publishing. 012044.

10.1088/1755-1315/881/1/012044
103

A. Mohanta and S. Das, Causal analysis of slow BIM adoption in Eastern India with a special focus on green building sector. Journal of The Institution of Engineers (India): Series A. 103(1) (2022), pp. 319-337.

10.1007/s40030-021-00561-w
104

A.A.S. Abdelazim, M. Abdelaal, and W. Mohamed, Towards sustainable buildings using building information modelling as a tool for indoor environmental quality and energy efficiency. Building Information Modelling (BIM) in Design, Construction and Operations IV. 205 (2021), 25.

10.2495/BIM210031
105

Y. Cao, S.N. Kamaruzzaman, and N.M. Aziz, Green Building Construction: A Systematic Review of BIM Utilization. Buildings, 12(8) (2022), 1205.

10.3390/buildings12081205
106

A. Primasetra, D. Larasati, and S. Wonorahardjo, BIM Utilization in Improving Energy Efficiency Performance on Architectural Design Process: Challenges and Opportunities. 2022, s.l.: IOP Publishing, 012018.

10.1088/1755-1315/1058/1/012018
107

D. Oloke, Deployment of building information modelling (BIM) for energy efficiency in the UK. 2021, London: Springer International Publishing. pp. 559-564.

10.1007/978-3-030-48465-1_92
108

A. Węglarz, Using Artificial Intelligence in energy efficient construction. 2018, s.l.: EDP Sciences, 00125.

10.1051/e3sconf/20184900125
109

H. Gao, L. Zhang, C. Koch, and Y. Wu, BIM-based real time building energy simulation and optimization in early design stage. 2019, s.l.: IOP Publishing. 012064.

10.1088/1757-899X/556/1/012064
110

M. Zhang, Application of BIM technology on energy efficiency building design. Applied Mechanics and Materials. 587 (2014), pp. 283-286.

10.4028/www.scientific.net/AMM.587-589.283
111

M.M. Singh and P. Geyer, Statistical decision assistance for determining energy-efficient options in building design under uncertainty. s.l.: CEUR-WS. (2019), pp. 1-10.

112

G. Gourlis and I. Kovacic, Building Information Modelling for analysis of energy efficient industrial buildings-A case study. Renewable and Sustainable Energy Reviews. 68 (2017), pp. 953-963.

10.1016/j.rser.2016.02.009
113

A.M. Raouf and S.G. Al-Ghamdi, Building information modelling and green buildings: Challenges and opportunities. Architectural Engineering and Design Management. 15(1) (2019), pp. 1-28.

10.1080/17452007.2018.1502655
114

T. Gerrish, K. Ruikar, M. Cook, M. Johnson, M. Phillip, and C. Lowry, BIM application to building energy performance visualisation and management: Challenges and potential. Energy and Buildings. 144 (2017), pp. 218-228.

10.1016/j.enbuild.2017.03.032
115

C.-S. Cho, D. Chen, and S. Woo, Building information modeling (BIM)-Based design of energy efficient buildings. Journal of KIBIM. 2(1) (2012), pp. 1-6.

116

Y. Zhang, B.K. Teoh, M. Wu, J. Chen, and L. Zhang, Data-driven estimation of building energy consumption and GHG emissions using explainable artificial intelligence. Energy. 262(A) (2023), 125468.

10.1016/j.energy.2022.125468
117

Z. Liu, Y. Lu, M. Shen, and L.C. Peh, Transition from building information modeling (BIM) to integrated digital delivery (IDD) in sustainable building management: A knowledge discovery approach based review. Journal of Cleaner Production. 291 (2021), 125223.

10.1016/j.jclepro.2020.125223
118

R. Kim, H. Kim, and S. Park, Development of environmental impact coefficients for major construction materials for green renovation. International Journal of Sustainable Building Technology and Urban Development. 15(1) (2024),pp. 109-118.

119

S.I. Lee, J.S. Bae, and Y.S. Cho, Efficiency analysis of set-based design with structural building information modeling (SBIM) on high-rise building structures. Automation in Construction. 23 (2012), pp. 20-32.

10.1016/j.autcon.2011.12.008
120

D. Aghimien, N. Ngcobo, C. Aigbavboa, S. Dixit, N.I. Vatin, S. Kampani, and G.S. Khera, Barriers to Digital Technology Deployment in Value Management Practice. Buildings. 12(6) (2022), 731.

10.3390/buildings12060731
121

B.G. Hwang, J. Ngo, and J.Z.K. Teo, Challenges and strategies for the adoption of smart technologies in the construction industry: The case of Singapore. J. Manag. Eng. 38(1) (2022).

10.1061/(ASCE)ME.1943-5479.0000986
Information
  • Publisher :Sustainable Building Research Center (ERC) Innovative Durable Building and Infrastructure Research Center
  • Publisher(Ko) :건설구조물 내구성혁신 연구센터
  • Journal Title :International Journal of Sustainable Building Technology and Urban Development
  • Volume : 15
  • No :3
  • Pages :392-412
  • Received Date : 2024-08-02
  • Accepted Date : 2024-09-19
  • DOI :https://doi.org/10.22712/susb.20240028
Journal Informaiton International Journal of Sustainable Building Technology and Urban Development International Journal of Sustainable Building Technology and Urban Development
Online Submission
  • scopus
  • NRF
  • KOFST
  • KISTI Current Status
  • KISTI Cited-by
  • crosscheck
  • orcid
  • open access
  • ccl
  • isc
Journal Informaiton Journal Informaiton - close