Advertisement

Indoor Hygrothermal Conditions

Chapter
  • 413 Downloads
Part of the SpringerBriefs in Applied Sciences and Technology book series (BRIEFSAPPLSCIENCES)

Abstract

The evaluation of indoor hygrothermal conditions is described, supported by a literature review. Involved parameters and standardized methodologies are summarized. The procedures for evaluation of human comfort are also briefly described.

Keywords

Thermal Comfort Data Mining Technique Outdoor Temperature Predicted Mean Vote Clothing Insulation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. Alfano, F. R. D. A., Bellia, L., Boerstra, A., Dijken, F. V., Ianniello, E., & Lopardo, G. et al. (2010). Indoor Environment and Energy Efficiency in Schools—Part 1 Principles REHVA—Federation of European Heating and Air-conditioning Associations, 2010.Google Scholar
  2. Almeida, R. M. S. F., & Freitas, V. P. (2014). Indoor environmental quality of classrooms in Southern European climate. Energy and Buildings, 81, 127–140.CrossRefGoogle Scholar
  3. ASHRAE—American Society of Heating, Refrigerating and Airconditioning Engineers. (2010). Ansi/ASHRAE Standard 55-2010. Thermal Environmental Conditions for Human Occupancy. ASHRAE, Atlanta, USA.Google Scholar
  4. Barbosa, R., Vicente, R., & Santos, R. (2015). Climate change and thermal comfort in Southern Europe housing: A case study from Lisbon. Building and Environment, 92, 440–451.CrossRefGoogle Scholar
  5. Borhehag, C. G., Blomquist, G., & Gyntelberg, F. (2001). Dampness in buildings and health—Nordic inter-disciplinary review of the scientific evidence on associations between exposure to “dampness” in buildings and health effects (NORDDAMP). Indoor Air, 11, 72–86.CrossRefGoogle Scholar
  6. Brager, G., Paliaga, G., & de Dear, R. (2004). The Effect of Personal Control and Thermal Variability on Comfort and Acceptability. ASHRAE—RP-1161—Final Report, ASHRAE, Atlanta, USA.Google Scholar
  7. Brown, C., Gorgolewski, M., & Goodwill, A. (2015). Using physical, behavioral, and demographic variables to explain suite-level energy use in multiresidential buildings. Building and Environment, 89, 308–317.CrossRefGoogle Scholar
  8. D’Oca, S., & Hong, T. (2014). A data-mining approach to discover patterns of window opening and closing behavior in offices. Building and Environment, 82, 726–739.CrossRefGoogle Scholar
  9. EN 15251. (2007). EN 15251:2007—Indoor environmental input parameters for design and assessment of energy performance of buildings-addressing indoor air quality, thermal environment, lighting and acoustics. CEN—Comité Européen de Normalisation, Brussels, Belgium.Google Scholar
  10. Fang, L., Clausen, G., & Fanger, P. (1998). Impact of temperature and humidity on the perception of indoor air quality. Indoor Air, 8, 80–90.CrossRefGoogle Scholar
  11. Fanger, P. O. (1970). Thermal comfort. Analysis and applications in environmental engineering. Denmark: McGraw-Hill.Google Scholar
  12. Goçer, O., Hua, Y., & Goçer, K. (2015). Completing the missing link in building design process: Enhancing post-occupancy evaluation method for effective feedback for building performance. Building and Environment, 89, 14–27.CrossRefGoogle Scholar
  13. ISO—International Organization for Standardization. (2005). ISO 7730—Ergonomics of the Thermal Environment, Analytical Determination and Interpretation of Thermal Comfort using Calculation of the PMV and PPD Indices and Local Thermal Comfort Criteria. ISO, Genève, Switzerland.Google Scholar
  14. Lamberts, R, (2005). Desempenho térmico de edificações. Relatório do Laboratório de Eficiência Energética em Edificações, Universidade Federal de Santa Catarina, Florianópolis, Brasil.Google Scholar
  15. Lourenço, P., Pinheiro, M. D., & Heitor, T. (2014). From indicators to strategies: Key Performance Strategies for sustainable energy use in Portuguese school buildings. Energy and Buildings, 85, 212–224.CrossRefGoogle Scholar
  16. Meneses, A. C., Cripps, A., Bouchlaghem, D., & Buswell, R. (2012). Predicted versus actual energy performance of non-domestic buildings: using post-occupancy evaluation data to reduce the performance gap. Applied Energy, 97, 355–364.CrossRefGoogle Scholar
  17. Olesen, B. W., Corgnati, S. P., & Raimondo, D. (2011). Evaluation methods for long term indoor environmental quality. Proceedings of the Conference Indoor Air 2011, June 5–10, Austin, Texas, USA.Google Scholar
  18. Ren, X., Yan, D., & Hong, T. (2015). Data mining of space heating system performance in affordable housing. Building and Environment, 89, 1–13.CrossRefGoogle Scholar
  19. Shahrokni, H., Levihn, F., & Brandt, N. (2014). Big meter data analysis of the energy efficiency potential in Stockholm’s building stock. Energy and Buildings, 78, 153–164.CrossRefGoogle Scholar
  20. Simonson, C. J. (2000). Moisture, thermal and ventilation performance of Tapanila ecological house. IN VTT (Ed.), VTT Research Notes, VTT, Espoo, Finland.Google Scholar
  21. Simonson, C. J., Salonvaara, M., & Ojanen, T. (2001). Improving indoor climate and confort with wooden structures. Espoo, Finland: VTT Publications.Google Scholar
  22. Tian, W., Song, J., Li, Z., & de Wilde, P. (2014). Bootstrap techniques for sensitivity analysis and model selection in building thermal performance analysis. Applied Energy, 135, 320–328.CrossRefGoogle Scholar
  23. Wargocki, P. (2009). Ventilation, thermal comfort, health and productivity. In D. Mumovic & M. Santamouris (Eds.), A handbook of sustainable building design and engineering—an integrated approach to energy, health and operational performance. London: Earthscan (Ch. 14).Google Scholar
  24. Yang, S., Shipworth, M., & Huebner, G. (2015). His, hers or both’s? The role of male and female’s attitudes in explaining their home energy use behaviours. Energy and Buildings, 96, 140–148.Google Scholar

Copyright information

© The Author(s) 2016

Authors and Affiliations

  1. 1.Department of Civil EngineeringUniversity of PortoPortoPortugal
  2. 2.Department of Civil EngineeringUniversity of PortoPortoPortugal
  3. 3.Department of Civil EngineeringPolytechnic Institute of ViseuViseuPortugal
  4. 4.Department of Civil EngineeringUniversity of PortoPortoPortugal
  5. 5.Department of Civil EngineeringUniversity of PortoPortoPortugal

Personalised recommendations