Prediction of the theoretical and semi-empirical model of ambient temperature

doi:10.1007/s11708-016-0413-y

Front. Energy

2016, Vol. 10

Issue (3) : 268-276 https://doi.org/10.1007/s11708-016-0413-y

RESEARCH ARTICLE

Prediction of the theoretical and semi-empirical model of ambient temperature

Foued CHABANE(

),Noureddine MOUMMI,Abdelhafid BRIMA,Abdelhafid MOUMMI

Mechanical Department, Mechanical Engineering Laboratory (LGM), Faculty of Technology, University of Biskra, Biskra 07000, Algeria

Download: PDF(432 KB) HTML
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks

Abstract

It is well known that the ambient temperature is a sensitive parameter which has a great effect on biology, technology, geology and even on human behavior. A prediction is a statement about an uncertain event. It is often, but not always, based upon experience or knowledge. Although guaranteed accurate information about the future is in many cases impossible, prediction can be useful to assist in making plans about possible developments. As a result, temperature profiles can be developed which accurately represent the expected ambient temperature exposure that this environment experiences during measurement. The ambient temperature over time is modeled based on the previous T_min and T_max data and using a Lagrange interpolation. To observe the comprehensive variation of ambient temperature the profile must be determined numerically. The model proposed in this paper can provide an acceptable way to measure the change in ambient temperature.

Keywords ambient temperature environment correlation theoretical model semi-empirical

Corresponding Author(s): Foued CHABANE

Just Accepted Date: 09 May 2016 Online First Date: 15 July 2016 Issue Date: 07 September 2016

Cite this article:

Foued CHABANE,Noureddine MOUMMI,Abdelhafid BRIMA, et al. Prediction of the theoretical and semi-empirical model of ambient temperature[J]. Front. Energy, 2016, 10(3): 268-276.

URL:

https://academic.hep.com.cn/fie/EN/10.1007/s11708-016-0413-y
https://academic.hep.com.cn/fie/EN/Y2016/V10/I3/268

Tab.1 Data of an interpolation between T_am and AST

Tab.2 Constants of correlation

Fig.1 Ambient temperature profile as a function of months (2014)

Fig.2 Ambient temperature of a spring period (2015/03, 04 and 05)

Fig.3 Ambient temperature of a summer period (2015/06, 07 and 08)

Fig.4 Ambient temperature of an autumn period (2015/09, 10 and 11)

Fig.5 Ambient temperature of a winter period (2015/12, 2016/01 and 02)

Fig.6 Ambient temperature, comparison of different models (winter – January)

Fig.7 Ambient temperature, comparison of different models (spring – April )

Fig.8 Ambient temperature, comparison of different models (summer – July)

Fig.9 Ambient temperature, comparison of different models (autumn – October)

Fig.10 Variation of ambient temperature between an experimental and the semi-empirical model (January)

Fig.11 Variation of ambient temperature between an experimental and the semi-empirical model (April)

Fig.12 Variation of ambient temperature between an experimental and the semi-empirical model (July)

Fig.13 Variation of ambient temperature between an experimental and the semi-empirical model (November)

Fig.14 Experiment measurements of ambient temperature for one year

Fig.15 Theoretical calculation of ambient temperature for one year

Fig.16 Ambient temperature of relative error

Fig.17 Ambient temperature of absolute error

Tab.1

1	Ma H, Si F, Li L, Yan W, Zhu K. Effects of ambient temperature and crosswind on thermo-flow performance of the tower under energy balance of the indirect dry cooling system. Applied Thermal Engineering, 2015, 78(5): 90–100 https://doi.org/10.1016/j.applthermaleng.2014.12.048
2	Borinaga-Treviňo R, Norambuena-Contreras J, Castro-Fresno D. How to correct the ambient temperature influence on the thermal response test results. Applied Thermal Engineering, 2015, 82(5): 39–47 https://doi.org/10.1016/j.applthermaleng.2015.02.050
3	Firmanda Al Riza D, Ihtsham ul Haq Gilani S, Shiraz Aris M. Hourly solar radiation estimation using ambient temperature and relative humidity data. International Journal of Environmental Science and Development, 2011, 2(3): 188–193
4	Hamrouni N, Jraidi Mand Chérif A. Solar radiation and ambient temperature effects on the performances of a PV pumping system. Revue des Energies Renouvelables, 2008, l(11): 95–106
5	Sanusi Y K, Fajinmi G R, Babatunde E B. Effects of ambient temperature on the performance of a photovoltaic solar system in a tropical area. Pacific Journal of Science and Technology, 2011, 12(2): 176–180
6	Singh S P, Singh P. Effect of temperature and light on the growth of algae species: a review. Renewable & Sustainable Energy Reviews, 2015, 50: 431–444 https://doi.org/10.1016/j.rser.2015.05.024
7	Vaidyanathan J, Vaidyanathan T K. Interactive effects of resin composition and ambient temperature of light curing on the percentage conversion, molar heat of cure and hardness of dental composite resins. Journal of Materials Science: Materials in Medicine, 1992, 3(1): 19–27 https://doi.org/10.1007/BF00702940
8	Hettinga F J, de Koning J J, de Vrijer A, Wüst R C I, Daanen H A M, Foster C. The effect of ambient temperature on gross-efficiency in cycling. European Journal of Applied Physiology, 2007, 101(4): 465–471 https://doi.org/10.1007/s00421-007-0519-3
9	Chabane F, Moummi N, Benramache S. Experimental study of heat transfer and thermal performance with longitudinal fins of solar air heater. Journal of Advanced Research, 2014, 5(2): 183–192 https://doi.org/10.1016/j.jare.2013.03.001
10	Chabane F, Moummi N, Benramache S, Tolba A S. Experimental study of heat transfer and an effect the tilt angle with variation of the mass flow rates on the solar air heater. International Journal of Science and Engineering Investigations, 2012, 1(9): 61–65
11	Chabane F, Moummi N, Benramache S. Experimental performance of solar air heater with internal fins inferior an absorber plate: in the region of Biskra. Journal of Energy Resources Technology, 2012, 4(33): 1–6
12	Chabane F, Moummi N, Brima A, Benramache S. Thermal efficiency analysis of a single-flow solar air heater with different mass flow rates in a smooth plate. Frontiers in Heat and Mass Transfer, 2013, 4(1): 013006 https://doi.org/10.5098/hmt.v4.1.3006
13	Chabane F, Moummi N, Benramache S, Bensahal D, Belahssen O. Collector efficiency by single pass of solar air heaters with and without using fins. Engineering Journal, 2013, 17(3): 43–55
14	Chabane F, Moummi N, Benramache S. Effect of the tilt angle of natural convection in a solar collector with internal longitudinal fins. International Journal of Science and Engineering Investigations, 2012, 1(7): 13–17
15	Chabane F, Moummi N, Benramache S. Experimental analysis on thermal performance of a solar air collector with longitudinal fins in a region of Biskra, Algeria. Journal of Power Technologies, 2013, 93(1): 52–58
16	Chabane F, Moummi N, Benramache S, Belahssan O, Bensahal D. Nusselt number correlation of SAH. Journal of Power Technologies, 2013, 93(2): 100–110
17	Chabane F, Moummi N. Heat transfer and energy analysis of a solar air collector with smooth plate. European Physical Journal Applied Physics, 2014, 66(1): 10901 https://doi.org/10.1051/epjap/2014130405
18	Chabane F, Hatraf N, Moummi N. Experimental study of heat transfer coefficient with rectangular baffle fin of solar air heater. Frontiers in Energy, 2014, 8(2): 160–172 https://doi.org/10.1007/s11708-014-0321-y
19	Soteris Kalogiro. Solar energy engineering: processes and systems. Academic Press, 2009
20	Benlahmidi S. Study of convective drying by solar energy red products. Dissertation for the Doctoral Degree. Biskra: University Mohamed Khider, 2013
21	Moummi N, Moummi A, Belgacem A, Hachemi A, Le Ray M. Systematic performance prediction of solar air flat plate collectors in various different climates sites in Algeria. National Energy Conference. Neptur Roumani, Juillet, 1995 (in French)
22	Idliman A. Theoretical study of a drying system leather skins for the Marrakech region, consisting of an agricultural greenhouse acting as a hot air solar generator and a conventional dryer. Dissertation for the Master’s Degree. National School of Marrakech Morocco, 1990
23	Maufred G. Numerical methods. Department of Econometrics. University of Geneva, 2006

[1]	Lazhar ACHOUR, Malek BOUHARKAT, Ouarda ASSAS, Omar BEHAR. Smart model for accurate estimation of solar radiation[J]. Front. Energy, 2020, 14(2): 383-399.
[2]	Shaozhi ZHANG, Xiao NIU, Yang LI, Guangming CHEN, Xiangguo XU. Numerical simulation and experimental research on heat transfer and flow resistance characteristics of asymmetric plate heat exchangers[J]. Front. Energy, 2020, 14(2): 267-282.
[3]	Pei LI, Guotian CAI, Yuntao ZHANG, Shangjun KE, Peng WANG, Liping GAO. Multi-objective optimal allocation strategy for the energy internet in Huangpu District, Guangzhou, China[J]. Front. Energy, 2020, 14(2): 241-253.
[4]	Xiaoqian SONG, Yong GENG, Ke LI, Xi ZHANG, Fei WU, Hengyu PAN, Yiqing ZHANG. Does environmental infrastructure investment contribute to emissions reduction? A case of China[J]. Front. Energy, 2020, 14(1): 57-70.
[5]	Haizheng DANG, Dingli BAO, Zhiqian GAO, Tao ZHANG, Jun TAN, Rui ZHA, Jiaqi LI, Ning LI, Yongjiang ZHAO, Bangjian ZHAO. Theoretical modeling and experimental verifications of the single-compressor-driven three-stage Stirling-type pulse tube cryocooler[J]. Front. Energy, 2019, 13(3): 450-463.
[6]	Maurizio FACCIO, Mauro GAMBERI, Marco BORTOLINI, Mojtaba NEDAEI. State-of-art review of the optimization methods to design the configuration of hybrid renewable energy systems (HRESs)[J]. Front. Energy, 2018, 12(4): 591-622.
[7]	Seyed Mohsen MIRYOUSEFI AVAL,Amir AHADI,Hosein HAYATI. A novel method for reliability and risk evaluation of wind energy conversion systems considering wind speed correlation[J]. Front. Energy, 2016, 10(1): 46-56.
[8]	Nitipong SOPONPONGPIPAT,Dussadeeporn SITTIKUL,Unchana SAE-UENG. Higher heating value prediction of torrefaction char produced from non-woody biomass[J]. Front. Energy, 2015, 9(4): 461-471.
[9]	Y. K. BHATESHVAR,H. D. MATHUR,H. SIGUERDIDJANE. Impact of wind power generating system integration on frequency stabilization in multi-area power system with fuzzy logic controller in deregulated environment[J]. Front. Energy, 2015, 9(1): 7-21.
[10]	Su LI,Weiguo ZHOU. Reliability analysis of urban gas transmission and distribution system based on FMEA and correlation operator[J]. Front. Energy, 2014, 8(4): 443-448.
[11]	Belkacem MAHDAD, K. SRAIRI, B. TAREK. Interactive DE for solving combined security environmental economic dispatch considering FACTS technology[J]. Front Energ, 2013, 7(4): 429-447.
[12]	O. S. OHUNAKIN, M. S. ADARAMOLA, O. M. OYEWOLA, R. O. FAGBENLE. Correlations for estimating solar radiation using sunshine hours and temperature measurement in Osogbo, Osun State, Nigeria[J]. Front Energ, 2013, 7(2): 214-222.
[13]	Belkacem MAHDAD, K. SRAIRI. Solving multi-objective optimal power flow problem considering wind-STATCOM using differential evolution[J]. Front Energ, 2013, 7(1): 75-89.
[14]	Ben HUA. Correlation between carbon emissions and energy structure –Reliability analysis of low carbon target[J]. Front Energ Power Eng Chin, 2011, 5(2): 214-220.
[15]	ZHANG Xiaoyan, ZHANG Xingqun, CHEN Yunguang, YUAN Xiuling. Boiling heat transfer correlations for refrigerant mixtures flowing inside micro-fin tubes[J]. Front. Energy, 2008, 2(4): 489-493.

Viewed

Full text

Abstract

Cited

Shared

Discussed