SAFETY OF BUILDING SYSTEMS. ECOLOGICAL PROBLEMS OF CONSTRUCTION PROJECTS. GEOECOLOGY

On the probable and statistical choice of the arrays of representative climatic data

Vestnik MGSU 2/2016
  • Samarin Oleg Dmitrievich - Moscow State University of Civil Engineering (National Research University) (MGSU) Candidate of Technical Sciences, Associate Professor, Department of Heating and Ventilation, Moscow State University of Civil Engineering (National Research University) (MGSU), 26 Yaroslavskoe shosse, Moscow, 129337, Russian Federation; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .

Pages 98-105

Currently, the successful development of the construction industry depends on the improved energy performance of buildings, structures and facilities, as well as on the quality assurance of the indoor climate. The problem of feasibly more accurate estimation of energy consumption by heating systems in buildings is a very high-priority task now because of the decrease of energy and fuel sources and because of actualization of building standards in the Russian Federation. That’s why it is very important to find simple but enough accurate dependences between the climatic parameters in the heating season of the year. The modern principles accepted in Russia and European countries for the selection of the design climate information for the design of building envelopes and systems to ensure building microclimate are considered. Shortcomings of the methods, including the concept of “typical year”, are shown and the advantages of generating climate data arrays programmatically with the use of a pseudorandom number generator are described. The comparison of the results of the calculation of non-stationary thermal regime of a ventilated room is presented using numerical modeling with daily average temperature of the external air during the month, according to climate data and the results of software generation. The principal coincidence of the statistical distribution of outdoor temperatures and the behavior of indoor air temperature on both options and the possibility of implementation of probabilistic-statistical principle of climatic data for some calculations relating to outdoor enclosures and thermal regime of the building are shown. The obtained model is easy to use in the engineering practice especially during preliminary calculations. The presentation is illustrated with numerical and graphical examples.

DOI: 10.22227/1997-0935.2016.2.98-105

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PROBABILISTIC-STATISTICAL MODELING OF ANNUAL VARIATION OF OUTSIDE AIR TEMPERATURE AND ITS VALUES IN THE WARM SEASON

Vestnik MGSU 3/2018 Volume 13
  • Samarin Oleg Dmitrievich - Moscow State University of Civil Engineering (National Research University) (MGSU) Candidate of Technical Sciences, Assistant Professor, Assistant Professor, Department of the Heat and Gas Supply and Ventilation, Moscow State University of Civil Engineering (National Research University) (MGSU), 26 Yaroslavskoe shosse, Moscow, 129337, Russian Federation; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .

Pages 378-384

Subject: the ways for obtaining the sets of climate data for simulation of air and thermal regime of the building premises and assessment of its annual energy consumption are considered. It is noted that most modern approaches in this field rely on the concept of a “typical year”, and therefore unsuitable for engineering practice as they require the search, accumulation and selection of a large number of climatic parameter values. Research objectives: generalization of probabilistic approach to obtaining the sets of climatic data for the case of a study of annual variation in the average daily temperature of outdoor air and creation of a set of outdoor temperatures during the warm season (cooling period). Materials and methods: in this work, we used the software generation of climatic data sets by Monte Carlo method using a pseudorandom number generator based on a linear congruence algorithm. The regular seasonal variation of outside temperature is accounted for by using the “floating” mathematical expectation and the standard deviation. A numerical model of non-stationary thermal regime of a ventilated room is implemented based on the solution of a system of differential equations of heat conduction and heat transfer for the surfaces of the room. Results: some results of calculation of the current ambient temperature during the year and in the warm season using Monte Carlo method are presented for climatic conditions of Moscow. We performed comparison of the results of estimation of unsteady thermal regime of a ventilated room when using average daily outside air temperatures during a month obtained from climatic data and from the results of computer simulation. Conclusions: we demonstrated the principal coincidence of the statistical distribution of outside air temperature and temperature variation of the internal air for both compared variants. It is noted that Monte Carlo simulation gives the results that are indistinguishable, from the standpoint of engineering needs, from the use of a “typical year”, and we revealed the possibility of practical implementation of probabilistic-statistical principle of climate data generation for some calculations that concern the systems of air-conditioning and thermal regime of the building. It is proposed to apply the developed methodology for estimation of the annual energy consumption of buildings and for estimation of efficiency of energy and resource saving.

DOI: 10.22227/1997-0935.2018.3.378-384

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