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Calibrating a combined energy systems analysis and controller design method with empirical data

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  • Murphy, Gavin Bruce
  • Counsell, John
  • Allison, John
  • Brindley, Joseph

Abstract

The drive towards low carbon constructions has seen buildings increasingly utilise many different energy systems simultaneously to control the human comfort of the indoor environment; such as ventilation with heat recovery, various heating solutions and applications of renewable energy. This paper describes a dynamic modelling and simulation method (IDEAS – Inverse Dynamics based Energy Assessment and Simulation) for analysing the energy utilisation of a building and its complex servicing systems. The IDEAS case study presented in this paper is based upon small perturbation theory and can be used for the analysis of the performance of complex energy systems and also for the design of smart control systems. This paper presents a process of how any dynamic model can be calibrated against a more empirical based data model, in this case the UK Government's SAP (Standard Assessment Procedure). The research targets of this work are building simulation experts for analysing the energy use of a building and also control engineers to assist in the design of smart control systems for dwellings. The calibration process presented is transferable and has applications for simulation experts to assist in calibrating any dynamic building simulation method with an empirical based method.

Suggested Citation

  • Murphy, Gavin Bruce & Counsell, John & Allison, John & Brindley, Joseph, 2013. "Calibrating a combined energy systems analysis and controller design method with empirical data," Energy, Elsevier, vol. 57(C), pages 484-494.
    • Handle: RePEc:eee:energy:v:57:y:2013:i:c:p:484-494
    DOI: 10.1016/j.energy.2013.06.015
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    References listed on IDEAS

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    1. Virulkar, Vasudeo & Aware, Mohan & Kolhe, Mohan, 2011. "Integrated battery controller for distributed energy system," Energy, Elsevier, vol. 36(5), pages 2392-2398.
    2. González-Bustamante, J.A. & Sala, J.M. & López-González, L.M. & Míguez, J.L. & Flores, I., 2007. "Modelling and dynamic simulation of processes with ‘MATLAB’. An application of a natural gas installation in a power plant," Energy, Elsevier, vol. 32(7), pages 1271-1282.
    3. Tashtoush, Bourhan & Molhim, M. & Al-Rousan, M., 2005. "Dynamic model of an HVAC system for control analysis," Energy, Elsevier, vol. 30(10), pages 1729-1745.
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    Cited by:

    1. Michalak, Piotr, 2014. "The simple hourly method of EN ISO 13790 standard in Matlab/Simulink: A comparative study for the climatic conditions of Poland," Energy, Elsevier, vol. 75(C), pages 568-578.
    2. Garrett, Aaron & New, Joshua, 2015. "Scalable tuning of building models to hourly data," Energy, Elsevier, vol. 84(C), pages 493-502.

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