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BIM and Lean-Business Process Reengineering for Energy Management Optimization of Existing Building Stock

  • Athanasios Chassiakos
  • Stylianos Karatzas
  • Panagiotis Farmakis
Conference paper

Abstract

Global warming and energy shortage has drastically increased the necessity to reduce energy use in buildings. Improving the energy efficiency of buildings is a key step-in achieving the energy and CO2 emission targets globally. In this effort, in the presented paper, advanced modeling methods like BIM and energy simulations are conjoined with lean waste elimination concepts into a building process-centric model. Integrating building systems, processes and energy data supports decision making for retrofitting and process reengineering actions within budget constraints. The proposed approach combines existing BIM-based energy performance tools with the development of a Business Process Reengineering architecture to develop an energy efficiency optimization model. In the first direction, BIM-based energy analysis is performed to automatically assess energy performance under varying building conditions. The Lean Business Process Reengineering (LBPR) architecture describes the fundamental layers needed to achieve more energy efficient organizational environments. These layers refer to “Definition”, “Data Information”, “Analysis” and “Therapy”. As Process Performance Indicators are also augmented to the process model, the impacts of modifications through generating different process views can be compared. An optimization model employing genetic algorithms is developed in which, considering the potential budget shortage for building asset interventions, preselected lean business process scenarios feed the optimization model to investigate the optimum solutions. A pilot case that shows the practicability of the proposed methodology is presented.

Keywords

BIM Lean Process Energy Optimization 

Supplementary material

464239_1_En_85_MOESM1_ESM.docx (1.1 mb)
Supplementary material 1 (DOCX 1111 kb)

References

  1. 1.
    European Commission, Energy Efficiency Plan 2011, https://ec.europa.eu/clima/sites/clima/files/strategies/2050/docs/efficiency_plan_en.pdf. Assessed 21 June 2018
  2. 2.
    Clarke, J.A.: Energy simulation in building design. In: Boonstra, C., Rovers, R., Pauwels S. (eds.) International Conference Sustainable Building 2000. Vol. 2003. Butterworth-Heinemann (2001)Google Scholar
  3. 3.
    Kim, H., Stumpf, A., Kim, A.: Analysis of an energy efficient building design through data mining approach. Autom. Constr. 20(1), 37–43 (2011)CrossRefGoogle Scholar
  4. 4.
    Costa, A., Keane, M.M., Torrens, J.I., Corry, E.: Building operation and energy performance: monitoring, analysis and optimisation toolkit. Appl. Energy 101, 310–316 (2013)CrossRefGoogle Scholar
  5. 5.
    Wong, J.K.W., Zhou, J.: Enhancing environmental sustainability over building life cycles through green BIM: a review. Autom. Constr. 57, 156–165 (2015)CrossRefGoogle Scholar
  6. 6.
    Ufuk Gökçe, H., Umut Gökçe, K.: Integrated system platform for energy efficient building operations. J. Comput. Civil Eng. 28(6), 05014005 (2014)CrossRefGoogle Scholar
  7. 7.
    Reeves, T., Olbina, S., Issa, R.R.: Guidelines for using building information modeling for energy analysis of buildings. Buildings 5, 1361–1388 (2015)CrossRefGoogle Scholar
  8. 8.
    Goldstein, R., Tessier, A., Khan, A.: Space layout in occupant behavior simulation. Conference Proceedings: IBPSA-AIRAH Building Simulation Conference, 1073–1080 (2011)Google Scholar
  9. 9.
    Zimmerman, G.: Modeling and simulation of individual user behavior for building performance predictions. In: Proceedings of the Summer Computer Simulation Conference, San Diego, USA, (2007)Google Scholar
  10. 10.
    Tabak, V.: User simulation of space utilisation: system for office building usage simulation. Ph.D. dissertation, Eindhoven University of Technology, Netherlands (2008)Google Scholar
  11. 11.
    Buildings Performance Institute Europe (BPIE): Energy performance certificates across the EU—a mapping of national approaches (2014)Google Scholar
  12. 12.
    Schumm, D., Leymann, F., Streule, A.: Process viewing patterns. In: Proceedings of the 14th IEEE Intl. EDOC Conference, 89–98, IEEE Computer Society, Los Alamitos (2010)Google Scholar
  13. 13.
    Nowak, A., Leymann, F., Schumm, D., Wetzstein, B.: An architecture and methodology for a four-phased approach to green business process reengineering. In: Proceedings of the First International Conference on Information and Communication Technology for the Fight Against Global Warming (ICT-GLOW2011), Toulouse, France (2011)Google Scholar
  14. 14.
    Lewry, A.J., Ortiz, J., Nabil, A., Schofield, N., Vaid, R., Hussain, S., Davidson, P.: Bridging the gap between operational and asset ratings - the UK experience and the green deal tool. Sustainable Energy Team, Building Research Establishment Ltd, UK. https://www.bre.co.uk/filelibrary/pdf/other_pdfs/KN5477_Energy_Paper_v1.pdf. Assessed 21 June 2018

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Athanasios Chassiakos
    • 1
  • Stylianos Karatzas
    • 1
  • Panagiotis Farmakis
    • 1
  1. 1.Civil Engineering DepartmentUniversity of PatrasPatrasGreece

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