Buildings’ Energy Flexibility: A Bottom-Up, Multiagent, User-Based Approach to System Integration of Energy Infrastructures to Support the Smart Grid

  • Wim ZeilerEmail author
  • Timilehin Labeodan
  • Kennedy Aduda
  • Gert Boxem
Conference paper


Using the flexibility within energy generation, distribution infrastructure, renewable energy sources, and the built environment is the ultimate sustainable strategy within the built environment. However, at the moment this flexibility on the building level has yet to be defined. The new IEA Annex 67 is just starting to define this specific flexibility. Our research is aimed at developing, implementing, and evaluating new process control strategies for improving the energy interaction within a building, its environment, and the energy infrastructure by effectively incorporating occupant needs for health (ventilation) and comfort heating/cooling. An integral approach based on general systems theory is used that divides the whole system into different layers from user up to centralized power generation. A bottom-up approach, starting from the user up to the smart grid, offers new possibilities for buildings’ energy flexibility. To make use of the dynamic possibilities offered by the flexibility, new intelligent process control concepts are necessary. Multiagent systems, in combination with building energy management systems, can offer the required additional functionalities. The approach is tested in a case-study building.


Energy flexibility User Smart grid 


  1. 1.
    Melese YG, Heijnen PW, Stikkelman RM (2014) Designing networked energy infrastructure with architectural flexibility. Procedia Comput Sci 28:179–186CrossRefGoogle Scholar
  2. 2.
    IEA (2015) International energy agency, energy in buildings and communities programme. EBC annual report 2014Google Scholar
  3. 3.
    Papaefthymiou G, Grave K, Dragoon K (2014) Flexibility options in electricity systems. Project number: POWDE14426, Ecofys 2014 by order of European Copper InstituteGoogle Scholar
  4. 4.
    Frerk M (2015) Open letter: facilitating efficient use of flexibility sources in the GB electricity system. OFGEM, The Office of Gas and Electricity Markets, 28 Jan 2015Google Scholar
  5. 5.
    Blanchard BS, Fabrycky WJ (2005) Systems engineering and analysis, 4th edn. Prentice Hall, Upper Saddle RiverGoogle Scholar
  6. 6.
    Savanović P (2009) Integral design method in the context of sustainable building design. PhD thesis, Technische Universiteit EindhovenGoogle Scholar
  7. 7.
    Zeiler W, Savanović P (2009) General systems theory based integral design method. Proceedings ICED’09, Stanford, USAGoogle Scholar
  8. 8.
    Lo C, Ansari N (2011) The progressive smart grid system from both power and communications aspects. IEEE Commun Surv Tutor 14(99):1–23Google Scholar
  9. 9.
    Dave S, Sooriyabandara M, Yearworth M (2011) A systems approach to the smart grid. In: The first international conference on smart grids, Green Communications and IT Energy-aware TechnologiesGoogle Scholar
  10. 10.
    Lopes AJ, Lezama R, Pineda R (2011) Model based systems engineering for smart grids as systems of systems. Procedia Comput Sci 6:441–450CrossRefGoogle Scholar
  11. 11.
    Acevedo S, Molinas M (2012) Identifying unstable region of operation in a micro-grid system. Energy Procedia 20:237–246CrossRefGoogle Scholar
  12. 12.
    Wang S (2013) Intelligent building electricity demand management and interactions with smart grid. In: Proceedings Clima, Prague, 2013Google Scholar
  13. 13.
    Jarvis D, Jarvis J, Rönnquist R, Jain L (2013) Multiagent systems and applications. Intell Syst Ref Libr 46:1–12CrossRefGoogle Scholar
  14. 14.
    Basso G, Gaud N, Gechter F, Hilaire V, Lauri F (2013) A framework for qualifying and evaluating smart grids approaches: focus on multi-agent technologies. Smart Grid Renew Energy 4(4):333–347CrossRefGoogle Scholar
  15. 15.
    Kofler MJ, Reinisch C, Kastner W (2012) A semantic representation of energy-related information in future smart homes. Energy Build 47:169–179CrossRefGoogle Scholar
  16. 16.
    Timilehin L, Zeiler W, Boxem G, Yang Z (2015) Occupancy measurement in commercial office buildings for demand-driven control applications—a survey and detection system evaluation. Energy Build 93:303–314CrossRefGoogle Scholar
  17. 17.
    Clarke JA, Janak M, Ruyssevelt P (1998) Assessing the overall performance of advanced glazing systems. Sol Energy 63(4):231–241CrossRefGoogle Scholar
  18. 18.
    Dounis AI (2010) Artificial intelligence for energy conservation in buildings. Adv Build Energy Res 4(1):267–299CrossRefGoogle Scholar
  19. 19.
    Royer EM, Toh C-K (1999) A review of current routing protocols for ad hoc mobile wireless networks. IEEE Pers Commun 6(2):46–55CrossRefGoogle Scholar
  20. 20.
    Kim JJ (2014) Automated demand response technologies and demonstration in New York city using OpenADR, Sep 2014Google Scholar
  21. 21.
    Hurtado LA, Nguyen PH, Kling WL (2015) Smart grid and smart building inter-operation using agent-based particle swarm optimization. Sustain Energy Grids Netw 2:32–40CrossRefGoogle Scholar
  22. 22.
    Leszczyna R (2008) Evaluation of agent platformsGoogle Scholar
  23. 23.
    de Jong J, Stellingwerff L, Pazienza GE (2013) Eve: a novel open-source web-based agent platform. In: Proceedings of the 2013 I.E. international conference on systems, man, and cybernetics, 2013Google Scholar
  24. 24.
    Bloem JJ, Strachan P (2012) Evaluating and modelling near-zero energy buildings; are we ready for 2018? Expert meeting 30-31 January 2012 Glasgow, JRC Technical reportGoogle Scholar
  25. 25.
    de Neufville R, Scholtes S (2011) Flexibility in engineering design. MIT Press, CambridgeGoogle Scholar
  26. 26.
    Kolokotsa D, Rovas D, Kosmatopoulos E, Kalaitzakis K (2011) A roadmap towards intelligent net zero- and positive-energy buildings. Sol Energy 85:3067–3084CrossRefGoogle Scholar

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Authors and Affiliations

  • Wim Zeiler
    • 1
    Email author
  • Timilehin Labeodan
    • 1
  • Kennedy Aduda
    • 1
  • Gert Boxem
    • 1
  1. 1.Faculty of the Built EnvironmentUniversity of Technology EindhovenEindhovenThe Netherlands

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