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High Quality of Calibration Accuracy for Smart Building Energy-Efficiency Opportunities

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Abstract

A well-calibrated model is crucial to accurately represent a building’s energy profile. This chapter deals with a building where an underfloor heating system supplied by a geothermal water-to-water heat pump and natural ventilation are the main systems used to maintain comfort conditions. Existing methodologies to establish calibration accuracy are mainly based on whole-building energy consumption comparisons. This research considers whole-building energy consumption with a breakdown of end-use energy consumption. The objective of this work is to develop a two-level calibration methodology which starts with calibration and then continues with the necessary actions for improving building energy efficiency. Finally, the model was simulated to estimate the potential of energy-efficiency improvements. The results of the analysis show that electricity consumption savings and heat released from the heat pump can vary between 20 and 27 % on a monthly basis.

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References

  1. Perez-Lombard L, Ortiz J, Pout C (2008) A review on buildings energy consumption information. Energy Build 40:394–398

    Article  Google Scholar 

  2. Directive 2010/31/EU of the European Parliament and of the Council. On the energy performance of buildings. Articles 14–16, 19 May 2010

    Google Scholar 

  3. Raftery P, Keane M, Costa A (2011) Calibrating whole building energy models: detailed case study using hourly measured data. Energy Build 43:3666–3679

    Article  Google Scholar 

  4. Bertagnolio S (2012) Evidence based model calibration for efficient building energy services. Ph.D. Thesis, University of Liège

    Google Scholar 

  5. Menezes AC, Cripps A, Bouchlaghem D, Buswell R (2012) Predicted vs. actual energy performance of non-domestic buildings: using post-occupancy evaluation data to reduce the performance gap. Appl Energy 97:355–364

    Article  Google Scholar 

  6. Liu G, Liu M (2012) A rapid calibration procedure and case study for simplified simulation models of commonly used HVAC systems. Build Environ 46:409–420

    Article  Google Scholar 

  7. CarbonBuzz-website. http://www.carbonbuzz.org

  8. Hamilton I, Steadman P, Bruhns H (2011) CarbonBuzz—energy data audit, UCL Energy Institute, July 2011

    Google Scholar 

  9. EnergyPlus Version 8.2 (2014) U.S. Department of Energy, Energy Efficiency and Renewable Energy, Office of Building Technologies. http://www.energyplus.gov

  10. ASHRAE guideline 14 (2002) Measurement of energy and demand savings. American Society of Heating, Refrigerating, and Air-Conditioning Engineers, Atlanta, GA

    Google Scholar 

  11. Mustafaraj G, Marini D, Costa A, Keane M (2014) Model calibration for building energy efficiency simulation. Appl Energy 130:72–85

    Article  Google Scholar 

  12. Azar E, Menassa C (2012) A comprehensive analysis of the impact of occupancy parameters in energy simulation of office buildings. Energy Build 55:841–853

    Article  Google Scholar 

  13. Morris M (1991) Factorial sampling plans for preliminary computational experiments. Technometrics 33:161–174

    Article  Google Scholar 

  14. De Wit S, Augenbroe G (2002) Analysis of uncertainty in building design evaluations and its implications. Energy Build 34:951–958

    Article  Google Scholar 

  15. Heiselberg P, Brohus PH (2007) Application of sensitivity analysis in design of sustainable buildings. Proceedings of the international conference on sustainable development in building and environment, Chongqing, China

    Google Scholar 

  16. DesignBuilder. www.designbuildersoftware.com

  17. CIBSE Guide (2006) A environmental design. The Chartered Institution of Building Services Engineers, London

    Google Scholar 

  18. ASHRAE Fundamentals Handbook (2005) Atlanta: American Society of Heating, Refrigerating and Air-Conditioning Engineers, Inc

    Google Scholar 

  19. ASHRAE Standard 62.2 (2013) Ventilation and acceptable indoor air quality in low-rise residential buildings

    Google Scholar 

Download references

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Authors and Affiliations

  1. International Energy Research Centre IERC, Tyndall Institute, University College of Cork, Cork, Ireland

    G. Mustafaraj

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  1. G. Mustafaraj
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Correspondence to G. Mustafaraj .

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Editors and Affiliations

  1. Flat 3, World Renewable Energy Congress, Brighton, UK

    Ali Sayigh

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Mustafaraj, G. (2017). High Quality of Calibration Accuracy for Smart Building Energy-Efficiency Opportunities. In: Sayigh, A. (eds) Mediterranean Green Buildings & Renewable Energy. Springer, Cham. https://doi.org/10.1007/978-3-319-30746-6_34

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  • DOI: https://doi.org/10.1007/978-3-319-30746-6_34

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-30745-9

  • Online ISBN: 978-3-319-30746-6

  • eBook Packages: EnergyEnergy (R0)

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