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Human-based energy retrofits in residential buildings: A cost-effective alternative to traditional physical strategies

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  • Pisello, Anna Laura
  • Asdrubali, Francesco

Abstract

Dynamic simulation is used in new buildings and renovations with the purpose to predict their thermal-energy performance, typically assuming a standard use of the buildings. Even if the role of occupants’ behavior is widely acknowledged to be a key factor influencing energy consumption in buildings, these predictive models are not used to quantify specific benefits deriving from precise occupants’ actions. In this work, a numerical–experimental campaign is carried out in a village of green buildings in central Italy, where the most innovative and efficient technologies are already implemented and, therefore, where further physical active or passive retrofits would not be cost-effective. This work demonstrates that, through a sophisticated theoretical–experimental modeling of a residential village, a substantial further energy saving is still to be achieved through zero-cost simple actions, i.e. human-based energy retrofits. Ordinary actions of energy waste reduction are described within the physical model with the final purpose to quantify the effect of occupancy operations considered at the same level of traditional physical retrofit scenarios. The combination of these human-based energy retrofits produces an annual personal primary energy saving of 239kWh/person in the village, and a corresponding annual money saving of 84€/person. This work shows that, when theoretical dynamic simulation models are performed in order to investigate buildings’ thermal-energy behavior and predict the cost-benefit efficacy of common physical energy retrofits, simple and effective human-based energy retrofits should be considered at the same level of physical retrofits, and even before them, for their intrinsic technical and economical efficacy.

Suggested Citation

  • Pisello, Anna Laura & Asdrubali, Francesco, 2014. "Human-based energy retrofits in residential buildings: A cost-effective alternative to traditional physical strategies," Applied Energy, Elsevier, vol. 133(C), pages 224-235.
  • Handle: RePEc:eee:appene:v:133:y:2014:i:c:p:224-235
    DOI: 10.1016/j.apenergy.2014.07.049
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    References listed on IDEAS

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    1. Menezes, Anna Carolina & Cripps, Andrew & Bouchlaghem, Dino & Buswell, Richard, 2012. "Predicted vs. actual energy performance of non-domestic buildings: Using post-occupancy evaluation data to reduce the performance gap," Applied Energy, Elsevier, vol. 97(C), pages 355-364.
    2. Rossi, Federico & Pisello, Anna Laura & Nicolini, Andrea & Filipponi, Mirko & Palombo, Massimo, 2014. "Analysis of retro-reflective surfaces for urban heat island mitigation: A new analytical model," Applied Energy, Elsevier, vol. 114(C), pages 621-631.
    3. Francesco Asdrubali & Cinzia Buratti & Franco Cotana & Giorgio Baldinelli & Michele Goretti & Elisa Moretti & Catia Baldassarri & Elisa Belloni & Francesco Bianchi & Antonella Rotili & Marco Vergoni &, 2013. "Evaluation of Green Buildings’ Overall Performance through in Situ Monitoring and Simulations," Energies, MDPI, vol. 6(12), pages 1-23, December.
    4. He, Jiang & Hoyano, Akira & Asawa, Takashi, 2009. "A numerical simulation tool for predicting the impact of outdoor thermal environment on building energy performance," Applied Energy, Elsevier, vol. 86(9), pages 1596-1605, September.
    5. Yang, Liu & Yan, Haiyan & Lam, Joseph C., 2014. "Thermal comfort and building energy consumption implications – A review," Applied Energy, Elsevier, vol. 115(C), pages 164-173.
    6. Xu, Xiaoqi & Culligan, Patricia J. & Taylor, John E., 2014. "Energy Saving Alignment Strategy: Achieving energy efficiency in urban buildings by matching occupant temperature preferences with a building’s indoor thermal environment," Applied Energy, Elsevier, vol. 123(C), pages 209-219.
    7. Goyal, Siddharth & Ingley, Herbert A. & Barooah, Prabir, 2013. "Occupancy-based zone-climate control for energy-efficient buildings: Complexity vs. performance," Applied Energy, Elsevier, vol. 106(C), pages 209-221.
    8. Axaopoulos, Ioannis & Axaopoulos, Petros & Gelegenis, John, 2014. "Optimum insulation thickness for external walls on different orientations considering the speed and direction of the wind," Applied Energy, Elsevier, vol. 117(C), pages 167-175.
    9. Anna Laura Pisello & Michael Bobker & Franco Cotana, 2012. "A Building Energy Efficiency Optimization Method by Evaluating the Effective Thermal Zones Occupancy," Energies, MDPI, vol. 5(12), pages 1-22, December.
    10. Faruqui, Ahmad & Sergici, Sanem & Sharif, Ahmed, 2010. "The impact of informational feedback on energy consumption—A survey of the experimental evidence," Energy, Elsevier, vol. 35(4), pages 1598-1608.
    11. Anna Laura Pisello & Veronica Lucia Castaldo & Tiziana Poli & Franco Cotana, 2014. "Simulating the Thermal-Energy Performance of Buildings at the Urban Scale: Evaluation of Inter-Building Effects in Different Urban Configurations," Journal of Urban Technology, Taylor & Francis Journals, vol. 21(1), pages 3-20, January.
    12. Yun, Geun Young & Steemers, Koen, 2011. "Behavioural, physical and socio-economic factors in household cooling energy consumption," Applied Energy, Elsevier, vol. 88(6), pages 2191-2200, June.
    13. Langevin, Jared & Gurian, Patrick L. & Wen, Jin, 2013. "Reducing energy consumption in low income public housing: Interviewing residents about energy behaviors," Applied Energy, Elsevier, vol. 102(C), pages 1358-1370.
    14. Chen, Jiayu & Jain, Rishee K. & Taylor, John E., 2013. "Block Configuration Modeling: A novel simulation model to emulate building occupant peer networks and their impact on building energy consumption," Applied Energy, Elsevier, vol. 105(C), pages 358-368.
    15. Buonomano, Annamaria & Palombo, Adolfo, 2014. "Building energy performance analysis by an in-house developed dynamic simulation code: An investigation for different case studies," Applied Energy, Elsevier, vol. 113(C), pages 788-807.
    16. Pisello, Anna Laura & Goretti, Michele & Cotana, Franco, 2012. "A method for assessing buildings’ energy efficiency by dynamic simulation and experimental activity," Applied Energy, Elsevier, vol. 97(C), pages 419-429.
    17. Tzivanidis, C. & Antonopoulos, K.A. & Gioti, F., 2011. "Numerical simulation of cooling energy consumption in connection with thermostat operation mode and comfort requirements for the Athens buildings," Applied Energy, Elsevier, vol. 88(8), pages 2871-2884, August.
    18. Francesco Asdrubali & Franco Cotana & Antonio Messineo, 2012. "On the Evaluation of Solar Greenhouse Efficiency in Building Simulation during the Heating Period," Energies, MDPI, vol. 5(6), pages 1-17, June.
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