M.V. Guseynova, Senior Lecturer, m.v.huseynova@gmail.com Azerbaijan Technical University, Baku, Azerbaijan Republic
Two-criteria parametric method is proposed concerning identification of the optimum temperature in the confined space. As the basic criteria the well-known index of discomfort and the threshold criterion for determining the comfort temperature were used. Proposed two-criteria evaluation method allows to develop the new criterion for estimating the comfort temperature in the confined space. General condition is obtained that makes it possible to calculate the optimal temperature in the room taking into account two main meteorological indicators. In contrast to the known method for calculating comfort temperature based on three parameters, the proposed method allows to calculate this index considering the threshold values of the variations in the temperature inside the room. In this case, such parameters as ambient temperature, specified value of the discomfort index and the humidity of the environment are taken into account. Expansion of the data base of initially considered meteorological indicators allows obtaining more objective estimation of the optimum indoor temperature.
1. Nicol J.F., Humphreys M.A. Adaptive thermal comfort and sustainable thermal standards for buildings. Available at: https://pdfs.semanticscholar.org/346a/9f17076b728357t679e6c7e2216cd9681e16.pdf (accessed: May 01, 2018).
2. Feryadi H., Wang N.H., Chandra S., Chaong K.W., Tham K.W. Redefining appropriate thermal comfort standard for naturally ventilated buildings in tropics (Singapore and Indonesia perspective). Available at: http://www.irbnet.de/daten/iconda/CIB7768.pdf (accessed: May 01, 2018).
3. Dorofeev V.N. Theoretical basis for creating the microclimate in the room. Available at: http://e.lib.visu.ru/bitstream/123456789/5545/1/00670.pdf (accessed: May 01, 2018). (In Russ.).
4. Dmitriev V.M., Sergeeva E.A., Tarova L.S., Mikhaylov V.B., Boyarshinov A.V. Industrial microclimate (assessment and prediction of the effect). Tambov: Izd-vo TGTU, 2003. Pt. 1. 32 p. (In Russ.).
5. Olesen B.V. Criteria of the thermal comfort at designing heating systems. Available at: https://www.abok.ru/for_spec/aeticles.php?nid=4355 (accessed: May 01, 2018). (In Russ.).
6. Lute P., Paassen D.V. Optimal indoor temperature control using a predictor. Available at: http://pdfs.semanticscholar.org/7d8e/0736e6c555eadd1125cfeca949b5c3381d4d.pdf (accessed: May 01, 2018).
7. Nagornaya A.N. Application of CFD-programs for study of thermal and air conditions of the rooms. Available at: http://dspace.susu.ru/xmlui/bitstream/handle/oooq.74/4416/30.pdf?sequence=1 (accessed: May 01, 2018). (In Russ.).
8. Sulin A.B., Ryabova T.V., Rubtsov A.K., Nikitin A.A. Indices of thermal comfort: Study guide. Saint-Petersburg: Universitet ITMO, IKhiBT, 2016. 36 p. (In Russ.).
9. Hoof J.V., Mazej M., Hensen J.L.M. Thermal comfort: research and practice. Frontiers in Bioscience. 2010. Vol. 15. pp. 765–788.
10. Heating/ Ventilation/ Air Conditioning. Room Climate Control with ABB i-bus KNX. Available at: https://library.e.abb.com/public/538a2fbf8c5ba6f1c1257870004cc2a9/2CDC500070M0201.pdf (accessed: May 01, 2018).
11. Favre B., Peuportier B. Optimization of building control strategies using dynamic programming for building simulation 2013 conference. Available at: http://www.ibpsa.org/proceedings/BS2013/p_2170.pdf (accessed: May 01, 2018).
12. Wang F., Yoshida H., Li B., Umemiya N., Hashimoto S., Matsuda T., Shinbayashi H. Evaluation and optimization of air-conditioner energy saving control considering indoor thermal comfort. Available at: http://www.ibpsa.org/proceedings/BS2009/BS09_0088_95.pdf (accessed: May 01, 2018).
