English
Русский 23-40 p.
The study of the complex influence of weather and climatic factors and their variability on the needs of energy and exergy when creating thermal comfort in a house with various engineering and architectural characteristics is carried out. It is confirmed that even for houses with relatively low thermal characteristics built in accordance with regulatory documents, the role of solar radiation in the formation of the heat balance, especially at the beginning and end of the heating season, is important. Studies showed that due to the combined influence of external meteorological factors, with the improvement of the thermal characteristics of houses, the correlation between the energy demand for creating a favorable microclimate and the outdoor air temperature significantly worsens. It is determined that in this case, the value of the approximation reliability decreases from 1 (with a linear dependence) to 0.55 and lower (with the maximum possible improved thermal characteristics of the house today). This position significantly corrects the operating modes and characteristics of the ST. In particular, this makes it necessary to improve the automatic control system of ST. And this, in turn, increases the investment component of the system. A method was developed for calculating exergy needs to create thermal comfort inside the house by taking into account, using the probability theory, the influence of the random nature of meteorological factors within the heating period, on the basis of which, in the conditions of the region, it is shown and calculated that when de-termining the seasonal exergy needs for the heat supply of the house, the use of a stationary approach leads to an underestimation of the results by 12...28% compared to the dynamic approach.
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2. Cornaro C., Sapori D., Bucci F., Pierro M., Giammanco C. Thermal performance analysis of an emer-gency shelter using dynamic building simulation. Energy and Buildings. 2015. 88. P. 122 – 134. https://doi.org/10.1016/j.enbuild.2014.11.055
3. Domingo J., Barbero R., Iranzo A., Cuadra D., Servert J., Marcos M.A. Analysis and optimization of ventilation systems for an underground transport interchange building under regular and emergency scenarios. Tunnelling and Underground Space Technology. 2011. 26 (1). P. 179 – 188. https://doi.org/10.1016/j.tust.2010.07.001
4. Fadli F., Kutty N., Wang Z., Zlatanova S., Mahdjoubi L., Boguslawski P., Zverovich V. Extending indoor open street mapping environments to navigable 3D citygml building models: Emergency response assessment. In International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences – ISPRS Archives. 2018. 42. P. 241 – 247. https://doi.org/10.5194/isprs-archives-XLII-4-161-2018
5. Jiang H., Su L., Zhang W. Analysis of emergency evacuation path and its demonstration application in highly-crowded building. In Proceedings of the 9th International Conference on Computer Science and Education, ICCCSE 2014. P. 372 – 375. https://doi.org/10.1109/ICCSE.2014.6926488
6. Ma G., Tan S., Shang S. The evaluation of building fire emergency response capability based on the CMM. International Journal of Environmental Research and Public Health. 2019. 16 (11). https://doi.org/10.3390/ijerph16111962
7. Marich M., Horan T.A., Schooley B. Implications of time-critical information services on emergency response its architecture: Scenario-building and market package analysis. In Association for Information Systems: 12th Americas Conference On Information Systems, AMCIS. 2006. 1. P. 229 – 238).
8. Nam G., Hong W. Analysis of the current state in order to maintain the function of the communication buildings for maintaining function in emergency. International Journal of Applied Engineering Research. 2014. 9 (23). P. 18191 – 18198.
9. Oh N., Okada A., Comfort L.K. Building Collaborative Emergency Management Systems in Northeast Asia: A Comparative Analysis of the Roles of International Agencies. Journal of Comparative Policy Analysis: Research and Practice. 2014. 16 (1). P. 94 – 111. https://doi.org/10.1080/13876988.2013.863639
10. Pan Y., Yuan S., Xie D., Gao Y. Current status and suggestions on post-earthquake emergency safety assessment of buildings in China. Tumu Gongcheng Xuebao/China Civil Engineering Journal. 2017. 50 (5). P. 19 – 26.
11. Poursha M., Khoshnoudian F., Moghadam A.S. Assessment of modal pushover analysis and conventional nonlinear static procedure with load distributions of federal emergency management agency for highrise buildings. Structural Design of Tall and Special Buildings. 2010. 19 (3). P. 291 – 308. https://doi.org/10.1002/tal.487
12. Semenyutina A., Lazarev S., Melnik K. Assessment of reproductive capacity of representatives of ancestral complexes and especially their selection of seed in dry conditions. World Ecology Journal. 2019. 9 (1). P. 1 – 23. https://doi.org/https://doi.org/10.25726/NM.2019.66.65.001
13. Shi B., Yang W., Chen X. (2013). A game-theoretic analysis on dividing the limited budget between building emergency facilities and preparing resources. In ICTIS 2013: Improving Multimodal Transportation Systems – Information, Safety, and Integration – Proceedings of the 2nd International Conference on Trans-portation Information and Safety. P. 2323 – 2329.
14. Singh A.K., Kaur S. Analysis of emergency evacuation of building using PEPA. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 20158956, P. 456 – 459. https://doi.org/10.1007/978-3-319-14977-6_51
15. Tserng H.P., You J.-Y., Chang C.-Y., Hsiung K.-H. Comparison analysis of emergency evacuation between computer simulations and real exercises for large-space buildings. Journal of the Chinese Institute of Engineers, Transactions of the Chinese Institute of Engineers, Series A. 2012. 35 (6). P. 779 – 792. https://doi.org/10.1080/02533839.2012.701914
16. Yang Z., Liao Q., Liu D., Lin G., Peng S., Xu Y. (2018). Emergency Ancillary Service Provided by Electric Vehicles for Building Integrated Energy System under the Malfunction of Energy Supply. In International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018. P. 970 – 975. https://doi.org/10.1109/ISGT-Asia.2018.8467922
17. Ying Z., Zi-Min Z., Jian C. (2017). EvacAgent: A building emergency evacuation simulation model based on agent. In ACM International Conference Proceeding Series (Part F128531). https://doi.org/10.1145/3080845.3080872
18. Zeng Y., Sreenan C.J., Sitanayah L., Xiong N., Park J.H., Zheng G. An emergency-adaptive routing scheme for wireless sensor networks for building fire hazard monitoring. Sensors. 2011. 11 (3). P. 2899 – 2919. https://doi.org/10.3390/s110302899
19. Zeng Y., Xiong,N., Park J.H., Zheng G. An emergency-adaptive routing scheme for wireless sensor networks for building fire hazard monitoring. Sensors. 2010. 10 (6). P. 6128 – 6148. https://doi.org/10.3390/s100606128
20. Zhu Q., Hu M., Xu W., Lin H., Du Z., Zhang Y., Zhang F. 3D building information model for facili-tating dynamic analysis of indoor fire emergency. Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University. 2014. 39 (7). P. 762 – 766+872. https://doi.org/10.13203/j.whugis20130257
Zhuykov S.V. Exergetic analysis of a building as a key element of a heat supply system. Construction Materials and Products. 2021. 4 (3). P. 23 – 40. https://doi.org/10.34031/2618-7183-2021-4-3-23-40