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MATHEMATICAL MODELING OF THERMAL LOAD OF RESIDENTIAL BUILDINGS DURING THE COOLING PERIOD

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ALTERNATIVE ENERGY

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Abstract. Introduction. Currently, cooling residential buildings accounts for 20% of the world's total energy consumption, and this figure will increase to 25% by 2050. Therefore, reducing the specific energy consumption of building cooling systems is an urgent problem, and the use of renewable energy sources, in particular solar energy, in building cooling systems is the most rational solution. Methods and materials. In order to reduce the specific energy consumption in residential cooling systems, a combined evaporative cooling system based on solar photovoltaic modules has been developed, which operates entirely on solar energy and allows for simultaneous cooling and humidification of outside air to the required temperature based on a combination of an evaporative cooling device and solar photovoltaic modules. To determine the refrigeration load of the combined evaporative cooling system, a mathematical model based on heat balance equations has been developed and a numerical study has been conducted to determine the change in the indoor air temperature of the experimental house over time with a change in the intensity of solar radiation, outside air temperature and heat flows over time.

AUTHORS

U.Ibragimov

QarDTU

A.Botirov

QarDTU

Tags

# combined# комбинированный# тепловой баланс# heat balance# issiqlik balansi# issiqlik yuklamasi# kombinatsiyalashgan# evaporative cooling# испарительное охлаждение# yashash uyi# bug‘latishli sovitish# жилой дом# тепловая нагрузка# residential building# heat load

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Article Identifiers

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https://eroi.uz/11.0032/A0825-0031

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References

Hsu T., Wang S. Mixed convection in a rectangular enclosure with discrete heat sources. Numerical Heat Transfer Part A. 38, 2000. – p. 627-652.

Radhakrishnan T., Verma A., Balaji C., et al. An experimental and numerical investigation of mixed convection from a heat generating element in a ventilated cavity. Experimental Thermal and Fluid Science, 32, 2007. – p. 502-520.

Raji A., Hasnaoui M. Mixed convection heat transfer in ventilated cavities with opposing and assisting flows. Engineering Computations, 17, 2000. – p. 556-572

Singh S., Sharif M.A.R. Mixed convective cooling of a rectangular cavity with inlet and exit openings on differentially heated side walls. Numerical Heat Transfer Part A, 44, 2003. – p. 233-253.

Posner J. Measurement and prediction of indoor air flow in a model room. Energy and buildings, 35, 2003. – p. 515-526.

Rahman M., Alim M., Mamun M., Chowdhury M.K., Islam A.K. Numerical study of opposing mixed convection in a vented enclosure. ARPN J Eng and Appl Sciences, 2, 2007. – p. 25-36.

Saha S., Mamun A., Hossain Z., Islam S. Mixed convection in an enclosure with different inlet and exit configurations. Journal of Applied Fluid Mechanics, 1, 2008. – p. 78-93.

Lariani A., Nesreddine H., Galanis N. Numerical and experimental study of 3D turbulent airflow in a full scale heated ventilated room. Engineering Applications of Computational Fluid Mechanics, 3, 2009. – p. 1-14

Xaman J., Tun J., Alvarez G., et al. Optimum ventilation based on the overall ventilation effectiveness for temperature distribution in ventilated cavities. International Journal of Thermal Sciences, 48, 2009. – p. 1574-1585.

Rodriguez N.A., Hinojosa J.F. Numerical study of airflow and heat transfer in an air-cooled room with different inlet positions. Journal of Building Physics, 37, 2014. – p. 246-268.

Ghasemi B., Aminossadati S.M. Numerical simulation of mixed convection in a rectangular enclosure with different numbers and arrangements of discrete heat sources. The Arabian Journal for Science and Engineering, 33, 2008. – p. 189-207.

Bilgen E., Muftuoglu A. Cooling strategy by mixed convection of a discrete heater at its optimum position in a square cavity with ventilation ports. Int. Comm. in Heat and Mass Transfer, 35, 2008. – p. 545-550.

Самарин О.Д., Матвеева Е.Г. Определение параметров охладительного периода // Сантехника. Отопление. Кондиsионирование. 2013, № 1 (133). - с. 120-122

Малявина Е.Г., Крyuчкова О.Y. Разработка инженерного метода определения энергетических показателей систем кондиsионирования воздуха // Жилищное строительство. 2012, № 6. - с. 73-75.

Ливчак В.И. Рол градусо-суток охладительного периода при расчете потребности жилых домов в охлаждении // АВОК. 2015, №7. - с. 22-27.

Shanmuga P.S., Premalatha M., Rejkumar S.R., Thirunvukkarasu L. Analysis of cooling degree days for Tiruchirappalli – a district in India. IJRRAS. 2011. №8 (1). – p. 44-56.

SHNQ 2.01.01-22 “Loyihalash uchun iqlimiy va fizikaviy-geologik ma’lumotlar”, Toshkent, 2022 yil.

QMQ 2.04.05-97*. Isitish, ventilyatsiya va konditsiyalash / О‘zR Davrarxitektqurilish – Toshkent, AQATM, 2011-212 bet.

https://weatherarchive.ru/Temperature/Karshi/