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The use of automation components to ensure adequate microclimate in rooms

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The paper presents the problem of climate control in interior spaces. It discusses the parameters that affect the well-being of users of such a space. The parameters that affect the users comfort include temperature, humidity or the content of CO2 in the air. In order to ensure the optimum microclimate parameters, a control algorithm is proposed which uses a sensor of microclimate parameters. To confirm the validity of the proposed solution, a laboratory model was built on the basis of the EIB/KNX system. The model was equipped with the available input and output modules (respectively sensors and actuators), which are responsible for the individual microclimate parameters. The parameters of the installation were selected in such a way that the feeling of comfort provided conformed to the applicable regulations.
Twórcy
autor
  • Institute of Electrical Engineering and Electrotechnologies, Lublin University of Technology, Poland
Bibliografia
  • 1. Aditama, T. Y., Andarini, S. L. (2002). Sick building syndrome. Medical Journal of Indonesia, 11(2), 124.
  • 2. Allen J. G., Macnaughton P., Satish U., Santanam S., Vallarino J., Spe ngler J. D., (2015). Associations of cognitive function scores with carbon dioxide, ventilation, and volatile organic compound exposures in office workers: a controlled exposure study of green and conventional office environments. Environ. Health Perspect. 124, 6, 805-812.
  • 3. Apte, M. G., Fisk, W. J., Daisey, J. M. (2000). Associations Between Indoor CO2 Concentrations and Sick Building Syndrome Symptoms in U. S. Office Buildings: An Analysis of the 1994-1996 BASE Study Data. Indoor air, 10(4), 246-257.
  • 4. ASHRAE handbook 2005-fundamentals; 2005.
  • 5. Bingol, O., Tasdelen, K., Keskin, Z., Kocaturk, Y. E. (2014). Web-based smart home automation: PLC-controlled implementation. Acta Polytechnica Hungarica, 11(3), 51-63.
  • 6. Chiou, C. B., Chiou, C. H., Chu, C. M., Lin, S. L. (2009). The application of fuzzy control on energy saving for multi-unit room air-conditioners. Applied thermal engineering, 29(2), 310-316.
  • 7. Chojnacka, A., Sudoł-Szopińska, I. (2007). Thermal comfort in office areas in the aspect of standards. Occupational safety. Science and Practice, No. 6/2007,16-19.
  • 8. Dz.U. 2014 poz. 817 Minister of Labour and Social Policy of 6 June 2014. On maximum permissible concentration and intensity of harmful factors in the work environment.
  • 9. Dounis, A. I., Caraiscos, C. (2009). Advanced control systems engineering for energy and comfort management in a building environment – review. Renewable and Sustainable Energy Reviews, 13(6), 1246-1261.
  • 10. Directive 2010/31/EU of the Uuropean Parliament and of the Council of 19 May 2010 on the Energy Performance of Buildings.
  • 11. Gładysz, J., Grzesiak, A., Nieradko-Iwanicka, B., Borzęcki, A. (2010). The influence of air pollution on human health and life expectancy. Probl. Hig. Epidemiol, 91(2), 178-180.
  • 12. Gładyszewska-Fiedoruk, K. (2010). Analysis of indoor environment In a kindergarten building. Part 1: temperature. Civil and Environmental Engineering, 1, 281-285.
  • 13. Gładyszewska-Fiedoruk, K. (2012). Correlation of humidity and CO2 concetration in kindergartens. Civil and Environmental Engineering, 3, 127-131.
  • 14. Horyński M. (2012): Energy efficient control of lighting in an intelligent building. TEKA Commission of Motorization and Power Industry in Agriculture. 2012, no 1, vol. 12, 61-67.
  • 15. Horyński M. (2011): Indoor climate control in EIB system. TEKA Commission of Motorization and Power Industry in Agriculture. 2011, vol. 11, 114-122.
  • 16. Kowalczuk, Z., Czubenko, M. (2011). Diagnostics of anthropogenical decisionmaking system. Measurement Automation Monitoring, 57, 1011-1015.
  • 17. Lawrence, T. (2004). Demand-controlled ventilation and sustainability. ASHRAE journal, 46(12), 117.
  • 18. Majcher, J. (2016). Building automation: trendy gadget or essential element of the building. Poznan University of Technology Academic Journals. Electrical Engineering - 2016, no. 87, 37-46.
  • 19. Majcher J., Horyński M. (2010). Use of building management elements of the EIB system in safety system. TEKA Commission of Motorization and Power Industry in Agriculture. Volume X. 2010. 256-264.
  • 20. Murkowski A., Skórska E. (2016). Does the increased carbon dioxide content in the air have an effect on human intellectual performance? KOSMOS. Problems of Biological Sciences. Volume 65 No 4. 631-636.
  • 21. Oldewurtel, F., Parisio, A., Jones, C. N., Gyalistras, D., Gwerder, M., Stauch, V., Morari, M. (2012). Use of model predictive control and weather forecasts for energy efficient building climate control. Energy and Buildings, 45, 15-27.
  • 22. Plaksina, O., & Rausch, T. (2005). Development of a standardized fieldbus-based greenhouse climate control. IFAC Proceedings Volumes, 38(2), 87-90.
  • 23. PN-EN ISO 7730:2006 Ergonomics of the thermal environment – Analytical determination and interpretation of thermal comfort using calculation of PMV and PPD indices and local thermal comfort criteria.
  • 24. Satish U., Mendell M., Shekhar K., Hotchi T. Sulliva n D., Streufe rt S., Fisk W., (2012). Is CO2 an indoor pollutant? Direct effects of low-to-moderate CO2 concentrations on human decision-making performance. Env. Health Persp. 120, 1671-1677.
  • 25. Soyguder, S., Alli, H. (2009). An expert system for the humidity and temperature control in HVAC systems using ANFIS and optimization with Fuzzy Modeling Approach. Energy and Buildings, 41(8), 814-822.
  • 26. Sudoł-Szopińska, I., Chojnacka, A. (2007). Determining thermal comfort conditions in rooms with the PMV and PPD indices. Occupational Safety. Science and Practice, (5), 19-23.
  • 27. Wang, S., Ma, Z. (2008). Supervisory and optimal control of building HVAC systems: A review. HVAC&R Research, 14(1), 3-32.
  • 28. Zach, R., Shuss, M., Pröglhöf, C., Orehounig, K., Braäuer, R., Mahdavi, A. (2011). An integrated architecture for energy systems and indoor climate monitoring in buildings.
  • 29. http://www.knxgebaeudesysteme.de/sto_g/English/specification_texts/single/LGSA_11_AT_EN_V1-0_2CDC508085D0201.PDF.
Uwagi
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-e01850b5-0f2b-41f5-bb53-5d90684391eb
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