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A method for assessing buildings’ energy efficiency by dynamic simulation and experimental activity

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  • Pisello, Anna Laura
  • Goretti, Michele
  • Cotana, Franco

Abstract

Buildings’ thermal-energetic assessment and the relative proposal of new technical solutions applied to both summer and winter analyses has a strategic role in increasing the year-round performance of buildings.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:appene:v:97:y:2012:i:c:p:419-429
    DOI: 10.1016/j.apenergy.2011.12.094
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    References listed on IDEAS

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    1. Buonomano, Annamaria & Calise, Francesco & Palombo, Adolfo, 2012. "Buildings dynamic simulation: Water loop heat pump systems analysis for European climates," Applied Energy, Elsevier, vol. 91(1), pages 222-234.
    2. Široký, Jan & Oldewurtel, Frauke & Cigler, Jiří & Prívara, Samuel, 2011. "Experimental analysis of model predictive control for an energy efficient building heating system," Applied Energy, Elsevier, vol. 88(9), pages 3079-3087.
    3. Fabrizio, Enrico & Corrado, Vincenzo & Filippi, Marco, 2010. "A model to design and optimize multi-energy systems in buildings at the design concept stage," Renewable Energy, Elsevier, vol. 35(3), pages 644-655.
    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. Ambrosone, G. & Catalanotti, S. & Matarazzo, M. & Vicari, L., 1983. "A dynamic model for the thermal energy management of buildings," Applied Energy, Elsevier, vol. 15(4), pages 285-297.
    6. Peeters, Leen & Dear, Richard de & Hensen, Jan & D'haeseleer, William, 2009. "Thermal comfort in residential buildings: Comfort values and scales for building energy simulation," Applied Energy, Elsevier, vol. 86(5), pages 772-780, May.
    7. Heiselberg, Per & Brohus, Henrik & Hesselholt, Allan & Rasmussen, Henrik & Seinre, Erkki & Thomas, Sara, 2009. "Application of sensitivity analysis in design of sustainable buildings," Renewable Energy, Elsevier, vol. 34(9), pages 2030-2036.
    8. Olofsson, Thomas & Mahlia, T.M.I., 2012. "Modeling and simulation of the energy use in an occupied residential building in cold climate," Applied Energy, Elsevier, vol. 91(1), pages 432-438.
    9. Amato, U. & Coluzzi, B. & Cuomo, V. & Serio, C. & Troise, G., 1984. "Effects of thermal control and of passive solar elements on the dynamic behaviour of a building," Applied Energy, Elsevier, vol. 17(4), pages 263-282.
    10. Daouas, Naouel, 2011. "A study on optimum insulation thickness in walls and energy savings in Tunisian buildings based on analytical calculation of cooling and heating transmission loads," Applied Energy, Elsevier, vol. 88(1), pages 156-164, January.
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