Automation in Civil Engineering Design in Assessing Building Energy Efficiency

  • Authors

    • Hanis Adibah Khairulzaman
    • Fathoni Usman
    2018-11-30
    https://doi.org/10.14419/ijet.v7i4.35.23096
  • Automation, Artificial intelligence, Building Information Modelling, Civil engineering design, Energy efficiency

  • Automation in Civil Engineering design is no longer unfamiliar anymore in the construction industry. It brings great efficiency gains and has reduced many of the complicated aspects of design. Automation has been developing since over the last four decades where advancement of computer hardware and in line with software developments has enabled various sort of design to be computerized. The design process is now more fast and accurate, and the entire process has been outstandingly improved by the available technology. However, the problems related to computerized design, started from the possibilities for unrecognized or unanticipated consequences as the design becomes more complicated. In line with it is the global warming issue that has been threatening the human being. Therefore, this paper reviews the design automation and its application in civil engineering design emphasizing in assessing the energy efficiency of buildings, which includes background information, its application, advantages, and challenges and also suggestions to further improve the automation in civil engineering design by artificial intelligence (AI). It was discovered that since over the past few years, BIM implementation in Civil Engineering design has started to be adopted massively in construction industry due to its tremendous advantages. In this paper, a new flow process in design automation in assessing building sustainability has been proposed by implementing AI BIM which is linked with MyCREST, a green rating tool in Malaysia in order to assist designers to conceptually design for a more energy efficient building.

  • References

    1. [1] P. J. Gardner, “Automation of the design process,†pp. 327–332, 2003.

      [2] M. Sandberg, R. Gerth, W. Lu, G. Jansson, J. Mukkavaara, and T. Olofsson, “Design automation in construction – an overview,†no. Stokes 2001, 2004.

      [3] F. Farinha, E. Portela, C. Domingues, and L. Sousa, “Knowledge-based systems in civil engineering: Three case studies,†Adv. Eng. Softw., vol. 36, no. 11–12, pp. 729–739, 2005.

      [4] I. Renev and L. Chechurin, “Early design stage automation in Architecture- Engineering-Construction ( AEC ) projects,†vol. 1, no. October, pp. 373–382, 2017.

      [5] F. Jalaei and A. Jrade, “Integrating BIM with Green Building Certification System, Energy Analysis and Cost Estimating Tools to Conceptually Design Sustainable Buildings,†Constr. Res. Congr. 2014, no. 2008, pp. 140–149, 2014.

      [6] W. Tizani and M. J. Mawdesley, “Advances and challenges in computing in civil and building engineering,†Adv. Eng. Informatics, vol. 25, no. 4, pp. 569–572, 2011.

      [7] P. Vähä, T. Heikkilä, P. Kilpeläinen, M. Järviluoma, and E. Gambao, “Extending automation of building construction - Survey on potential sensor technologies and robotic applications,†Autom. Constr., vol. 36, pp. 168–178, 2013.

      [8] A. Stumpf, H. Kim, and E. Jenicek, “Improving Energy Efficiency in Building Through Automated Computer Design Process,†pp. 497–505, 2009.

      [9] S. Egwunatum, E. Joseph-Akwara, and R. Akaigwe, “Optimizing Energy Consumption in Building Designs Using Building Information Model (BIM),†Slovak J. Civ. Eng., vol. 24, no. 3, pp. 19–28, 2016.

      [10] E. I. Samuel, E. Joseph-Akwara, and A. Richard, “Assessment of energy utilization and leakages in buildings with building information model energy,†Front. Archit. Res., vol. 6, no. 1, pp. 29–41, 2017.

      [11] A. N. Sadeghifam, A. K. Marsono, I. Kiani, U. Isikdag, A. A. Bavafa, and S. Tabatabaee, “Energy analysis of wall materials using building information modelling (BIM) of public buildings in the tropical climate countries,†J. Teknol., vol. 78, no. 10, pp. 35–41, 2016.

      [12] F. H. Abanda and L. Byers, “An investigation of the impact of building orientation on energy consumption in a domestic building using emerging BIM (Building Information Modelling),†Energy, vol. 97, pp. 517–527, 2016.

      [13] A. Jangalve, V. Kamble, S. Gawandi, and N. Ramani, “Energy Analysis of Residential Building Using BIM,†pp. 15–19, 2017.

      [14] C. Guan, G. Gao, and H. Zhang, “Energy Conservation Evaluation of High-Rise Buildings based on BIM: A Case Study,†ICCREM 2017, pp. 62–70, 2017.

      [15] C. Li and L. Xie, “Study on the Application of BIM Energy Analysis Technology in Architectural Design,†ICCREM 2017, no. Patrinos 2000, pp. 62–70, 2017.

      [16] G. Gourlis and I. Kovacic, “Building Information Modelling for analysis of energy efficient industrial buildings – A case study,†Renew. Sustain. Energy Rev., vol. 68, pp. 953–963, 2017.

      [17] S. Spann, “Artificial Intelligence in Construction,†2017. [Online]. Available: https://jbknowledge.com/category/blog-posts.

      [18] P. Lu, S. Chen, and Y. Zheng, “Artificial intelligence in civil engineering,†Math. Probl. Eng., vol. 2012, pp. 1–22, 2012.

      [19] J. Clavero, “Artificial Intelligence in Construction_ The Future of Construction - eSUB Construction Software,†2018. [Online]. Available: https://esub.com/.

      [20] T. Goubau, “Artificial Intelligence and the Future of Construction - APROPLAN.†2017.

      [21] D. Ventura, “Artificial Intelligence in the Construction Industry,†2016.

      [22] “A Reference Guide for Malaysian Carbon Reduction & Environmental Sustainability Tool Version 1.0 - Introduction,†2016.

      [23] “A Reference Guide for Malaysian Carbon Reduction & Environmental Sustainability Tool Version 1.0 - Design Stage Certification,†2016. [Online]. Available: www.cidb.gov.my.

      [24] F. Jalaei and A. Jrade, “An Automated BIM Model to Conceptually Design, Analyze, Simulate, and Assess Sustainable Building Projects,†J. Constr. Eng., vol. 2014, pp. 1–21, 2014.

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  • How to Cite

    Khairulzaman, H. A., & Usman, F. (2018). Automation in Civil Engineering Design in Assessing Building Energy Efficiency. International Journal of Engineering & Technology, 7(4.35), 722-727. https://doi.org/10.14419/ijet.v7i4.35.23096