AN ANALYTICAL APPROACH ON SOLAR RADIATION CONCEPT FOR ENERGY ARRIVALS RESOURCES FOR POWER QUALITY IMPROVEMENT: A REVIEW
Uddaishya Prajapati
Research Scholar, Energy Technology, Gyan Ganga Institute of Technology and Science, Jabalpur, MP, India
Dr. Ruchi Pandey
Associate Professor, Gyan Ganga Institute of Technology and Science, Jabalpur, MP, India Abstract- In this work, we proposed and focused how to use the daylight based radiation model to anticipate energy appearances and to allot energy resources at an energy harvesting base station (BS). Regardless, some fundamental data on daylight based radiation is investigated and summarized. Here we present two sun based energy models for cloudless days and cloudy days, independently. Then artificial neural association (ANN) is gotten to expect sun controlled energy appearances in a short period, which has a further evolved presentation differentiated and the last straight model.
1. INTRODUCTION
As per a review directed by International Telecommunication Union (ITU) in 2003, more than 2.5 billion individuals (which is 40% of the absolute populace) actually live in distant and country regions with restricted correspondence access [1]. More regrettable more, power supply in most country regions is consistently inadequate or even non-existent. Consequently, how to control the BSs in provincial regions is a difficult issue confronting agricultural nations and surprisingly the world. To address this test, energy gathering has been brought into correspondence industry as the force wellspring of BSs in rustic regions. Presently BSs that collect environmentally friendly power, for example, sun based and wind, are bit by bit sent in some country regions all through the world. For example, China Mobile had set up the world's biggest sun based energy BS group in Tibet [2].
Besides, among the 1000+ BSs in Tibet, about 80% of them are controlled by sunlight based energy. This uncovers the capability of energy collecting strategies to be applied in provincial interchanges and future's green correspondences.
On the off chance that the traffic has no enormous varieties, energy yield of BSs ought to be steady to ensure high QoS and high energy effectiveness. In this work, we consider that BSs just utilize the gathered energy and have no elective fuel source to back up. For this situation, the forecast of future energy appearances is significant, since it can adjust the energy stockpiling and energy yield in the
transient space. All the more precisely, traffic demonstrating will be considered in our future work, with the end goal that energy yield coordinates with the traffic.
Remarkably, when the battery limit is sufficiently huge, we can utilize a steady energy yield rate that equivalents to the normal energy input rate. In any case, batteries with extremely huge limit increment the arrangement cost drastically. Subsequently, with restricted battery limit, great energy designation calculations are expected to best allot the reaped energy.
In this paper, we just consider BSs furnished with sunlight based board. Sun powered energy odels have been efficiently concentrated by geographers and meteorologists since 1970s. Be that as it may, most models are too unpredictable to be in any way applied, and not the entirety of the boundaries are consistently accessible. For example, in the model contributed by [3]–[6], gaseous tension, temperature, water fume, oxygen, ozone, airborne and range are totally included. In this manner, our work starts by introducing a basic and general sun based energy model. For asset planning for energy collecting correspondences, much work has been one either in various situations, or with various targets, or in various techniques. For example, [7]
proposes energy-neural mode that can use however much energy as could be expected from the climate in sensor organizations. [8] presents ideal energy the executives plans in energy collecting frameworks with blurring channels to
augment the quantity of pieces sent inside a cutoff time. Additionally, the span that every one of the parcels are conveyed is limited by changing transmission rate as indicated by traffic load and accessible energy in [9], and the momentary throughput is amplified for a connection with an energy collecting transmitter in [10]. In any case, the vast majority of the work simply expects arbitrary energy appearances and doesn't consider the energy appearance expectation, which will be tackled in our work.
1.1 Problem Identification
Sunlight based energy is acknowledged as an elective fuel hotspot for what's to come. The shortage of hourly sun oriented radiation information which is accessible in just 46 areas in India, presents hardships in evaluating the capability of sun based energy applications. Among the meteorological boundaries, daylight term, scope and overcast cover are the most broadly and generally utilized information to foresee day by day worldwide sun based radiation and its parts at any area of interest. The irradiance outside the climate relies upon the season, the time and scope, while the assimilation by cloud masses of different sizes. The other info boundaries, for example, air temperature, relative stickiness and height of the area impact complete sun based radiation at the surface.
To tackle the issue characterized toward the start of this examination work, the accompanying targets were set.
To measure the quantum of worldwide sun based radiation dependent on three years information.
To distinguish the components affecting worldwide sun based radiation.
To evaluate the measure of clarification given by every factor on GSR.
Numerical displaying of worldwide sunlight based radiation for four seasons.
1.2 Solar Radiation
The brilliant energy from the sun covers the whole electromagnetic range.
Ingestion happens basically in view of the presence of ozone, water fume, different
gases (CO2, NO2, CO, O2, CH4 and particulate matter). Sun based Radiation is delegated per the subtleties and the phrasing utilized is introduced here.
Direct or Beam radiation
Diffuse radiation
Global or Total Solar radiation
Terrestrial radiation
Reflected sunlight based radiation
Solar steady
Albedo of the surface
Atmospheric turbidity
Aerosol
Suspended Particulate Matter (SPM)
Latitude
Longitude
Altitude
Relative Humidity 2. REVIEW OF LITERATURE 2.1 Introduction
Survey of related writing is a significant part of exploration. Exploration takes benefits of the information which has been gathered in the past because of steady human undertaking. It can never be attempted in disconnection of the work that has as of now been done on the issue which is straightforwardly or by implication identified with the examination proposed by the specialist.
Fruitful examination can be brought out just through an interaction of reconciliation of past exploration and information with flow research. A cautious audit of the exploration diaries, books, expositions, proposition and other applicable wellsprings of data are a portion of the significant advances taken in the arranging of the examination work.
The survey gives proof of the examiner s information on the field of examination and furthermore helps him in advancing new bits of knowledge and assembles new ways to deal with the issue under specific investigations.
2.2 Review of Studies
M. Sekar et al. (2012) in the assessment of worldwide sun oriented radiation for Chennai, the quadratic condition gives preferable outcome over the straight condition and the inferred connection is required to appraise month to month normal worldwide sunlight based radiation for Chennai area. The outcome and connection may then be utilized for
area with comparable meteorological and topographical attributes at which sun based information are not accessible.
Ricardo Marquez and Carlos F.M.
Coimbra (2011) created determining models for hourly sun based illumination utilizing Artificial Neural Networks for lead seasons of up to 6 days. Model sources of info included current and determined meteorological information got from the US National Weather Services estimating data set, and sun based geotemporal factors. The standardized hour point was presented a compelling contribution for displaying and determining sunlight based radiation. An information choice plan was applied utilizing a Gamma test joined with an expert hereditary calculation based strategy to uncover the most applicable set of data sources which incorporated the sunlight based math factors, sky cover, likelihood of precipitation, and least and greatest temperature.
Confidence Onur Hocaoglu (2011) proposed technique doesn't consider the sun powered radiation information without anyone else as time series or other numerical models. All things being equal, a double boundary approach is considered with the increased data of temperature information. The model adventures the innate cross reliance between day by day encompassing temperature and sunlight based radiation in a type of covered up Markoo model utilizing the improvement procedure called Viterbi translating calculation.
Accordingly, precise demonstrating results show that temperature information is reliant with sunlight based radiation information. The model is open for development. A few different mixes of topographical information, for example, pneumatic stress, mugginess, daylight length, and shadiness can be consolidated into the Well flavor and further examination of state sizes can be considered as future investigation applicants. Ozan Senkal (2010) summed up relapse neural organization (GRNN) model can be utilized for the assessment of sun oriented radiation on a surface at ground level and development of sun based energy information base is exceptionally helpful for fashioners of sun powered energy frameworks, natural, agrarian and some different applications.
Lu Jianfeng et al. (2010) states that in the entire line, the ingestion productivity of the oppositely episode district at the gulf ways to deal with the most extreme, and just the retention productivity close to the equal occurrence locale is low. As the episode energy transition rises, the normal assimilation effectiveness of the line can way to deal with greatest at ideal occurrence energy transition. As the line length builds, the normal ingestion productivity of the line astoundingly drops, and the ideal occurrence energy transition likewise diminishes.
A.M. Abdel-Ghany and L.M. Al- Helal (2010) uncovers that radiates radiation communicated through a net can be partitioned into diffused bars added to the sent diffuse radiation, a forward specularly reflected shaft and an unscattered bar, which straightforwardly goes through the net pores. In view of the net boundaries, from 2% to 20% of the communicated bar was diffused, from 11% to 52% was specularly reflected forward furthermore, from 29% to 83%
was unscattered radiation sent straightforwardly through the net pores.
The diffuse radiation acquired under the net surface was influenced more by the surface construction of the net than be the shading and porosity of the net.
Consequently the air diffuse radiation sent through the tried nets was improved by 17 170%.
Xiaoying Liu et al. (2009) given the way that temperature is the solitary driving variable in the temperature-based radiation models, and that environmental change has been recorded in various distributions and are required to impact specifically the temperature range, they energize further examinations itemizing whether environmental change influences the model boundaries and forecasts. This would be exceptionally valuable for reproducing verifiable Estimation of Global Solar Radiation information and for future applications.
Kadir Bakirci (2009). relationship models giving all that outcomes can be dependably used to appraise month to month normal every day worldwide sun oriented radiation in the Provinces of Turkey and in somewhere else with comparable climatic conditions. S.M.
Robaa (2009) states the metropolitan
region consistently gets worldwide radiation esteems lower than that for provincial region. The month to month and occasionally mean upsides of determined Global radiation rise routinely from least worth during winter season (fundamentally December) to greatest worth during summer season (for the most part June) at the metropolitan and country regions. The worldwide radiation misfortune in the environment of the metropolitan region is consistently higher than that for the country region.
S. X. Chu and L.H. Liu (2009).
states reasonable application for instance photovoltaic gadgets can work more productively with direct earthly sun based radiation than that with diffuse earthly sun powered radiation. The worldwide earthly sun powered radiation in the close to bright, the apparent light district and the infrared area ought to be considered for commonsense application. Both of the worldwide and the immediate radiation reference energy spectra are not compatible. With the expansion of air mass, the all out energy quality factor of the immediate, the diffuse and the worldwide earthbound sun powered radiation all diminishing. As a result of the impact of diffuse earthly sun powered radiation, the complete energy quality factor of the worldwide earthbound sun powered radiation is not exactly that of the direct earthbound sunlight based radiation.
Kadir Bakirci (2009) sun powered energy innovations offer a spotless, inexhaustible and homegrown fuel source, and are fundamental segments of a feasible energy future. In the plan and assessment of sun powered energy, data on sun oriented radiation and its segments at a given area is required. In such manner, sun based radiation models are critical. The majority of sunlight based radiation models given to assess the month to month normal day by day worldwide sun powered radiation are of the adjusted Angstrom-type condition.
Ted Soubdhal et al. (2009) results highlight four different classes of distribution corresponding to different types of days. Clear sky days, with high level of sunshine, very few clouds and thus low dynamic; Intermittent clear sky days, with high level of sunshine, small clouds and medium dynamic, cloudy sky
days, with low level of sunshine, big size clouds and low dynamic.
Kewin, K. W. Wan et al. (2008) believe that modeled Global Solar Radiation data from the 2-Parameter regression models could be used for building energy simulation where measured Global Solar Radiation is not available. J. Mubiru and E.J.K.B. Banda (2008) developed an artificial neural network model that could be used to estimate monthly average daily global solar radiation on a horizontal surface for locations in Uganda and others with similar climate and terrain.
The proposed ANN model proved to be superior over the empirical model because it is capable of reliably capturing the non-linearity nature of solar radiation.
The empirical method is based on the principle of linearity.
C.S. Solanki and C.S. Sangani (2008) proposed a new method called elevation angle constant method for the estimation of direct normal solar radiation for any location in the world. The EAC method is based on empirical relations.
The method calculates the elevation angle constant for given location and time and uses only readily available monthly averaged daily global and monthly averaged daily diffuse radiation data to estimate direct normal solar radiation.
F. Ellouz et al. (2008) states the diffuse radiation intensity increases with atmospheric turbidity depending on air mass origin. Regression lines of atmospheric turbidity with diffuse radiation intensity show the major role of continental aerosol in air pollution.
Husamettin Bulut and Orhan Buyukalaca (2007) proposed a model based on a trigonometric function, which has only one independent parameter namely the day of the year can be used for predicting accurately daily global solar-radiation, which helps in the estimation of the long-term performances of solar-energy systems, comparison of the model with the measured data and data available in the literature revealed that the model provides predictions in good agreement with both the measured data and data available in the literature.
It is expected that the model developed for daily global solar-radiation will be useful to the engineers of solar energy related systems as well as those who need to
have fairly good estimates of yearly variations of daily global solar-radiation for specific location.
Ali A. Saziparrar and H. Shetaee (2007) results indicated that radiation methods based on cloud fraction are good estimators for prediction of solar radiation energy in arid and semi-arid regions. They suggested height-depended model estimates the direct and diffuse monthly mean radiation with mean MPE error of less than 3% comparison of the results with the previous studies indicated that calibration of coefficients of model derive diffuse radiation against the experimental data can improve the estimation of global solar radiation. However, the influence of surface albedo on surface global radiation was not in the scope of this work.
Maria La Gennusa et al. (2007) method, apart from the possibility of computing the spatial changes of the thermal comfort conditions in presence of the solar radiation, can be usefully adopted for ranking the indoor quality of constructions within the procedures devoted to the energy certification of building, as established in Europe by the Energy Performance Building Directive and recently adopted by member countries.
T. Krishnaiah et al. (2007) used an artificial neural network technique for modeling global solar radiation. The performance parameters such as root mean square error, mean bias error and absolute fraction of variance have been used for the model.
The mean MBE, RMSE and r2 values are found to be 0.3133, 4.61 and 0.999954 respectively for the locations tested. The estimated values are in good agreement with the actual values.
Comparison of global radiation estimated by ANN and various regression models reveals that the mean percentage error of the present model is lower than those of other models. The results indicated that the neural network methods are more suitable to predict the solar radiation as compared to traditional regression models. The method should be applicable to any region, provided that samples of the solar radiation data from locations of all types of weather conditions are included in the training process.
The ANN model show promise for evaluating global solar radiation in
regions where a network of monitoring stations has not been set up. The prediction from ANN model could enable solar engineers for locating and designing the Solar Energy Systems in India and Identifying the best of the solar technologies.
Richard G. Allen et al. (2006) developed analytical extra terrestrial radiation component is combined with general algorithms that consider impacts of atmospheric transmissivity and slope on direct beam, diffuse and reflected radiation to develop clear sky solar radiation curves that should generally need no local calibration. Their procedures are further used to translate global solar radiation measurements from horizontal surfaces to nearby slopes.
Simulated clear sky solar radiation envelope curves and translated measured solar radiation compared well with measurements from two locations in the U.S. over range of slope and aspect.
F.S. Tymvios et al. (2005) proposed an ANN methodology as a promising alternative to the traditional approach for estimating global solar radiation, especially in cases where radiation measurements are not readily available was proposed in this review.
Similar conclusions have been reached by many researchers tackling several other meteorological issues.
Rani Gupta and G. N. Tiwari (2005) results indicate that reflecting surface on north side considerably increase the available solar radiation for thermal heating of green house. According to this review, even an inclined reflecting surface cannot reduce loss of solar radiation to zero, some solar radiation losses will always occur. Total solar radiation and reflected solar radiation on surface of the green house decreases with increase in the latitude of the place.
Gayathri Vijaya kumar et al.
(2004) the distribution of short-term radiation within an hour results in greater utilizability, if the short term data varies significantly on a clear day when the variation within the hours is minimal, the magnitude of the error decreases. On a partly cloudy day when large variations exist within the hour, hourly analyses will under estimate the true performance of a system. The development of diffuse fraction correlations and frequency
distributions of short-term data as functions of air mass will allow users the ability to accurately generate short-term data from commonly available hourly averages. These short-term data can then be used in simulations and performance analyses of solar energy systems.
S. Labed and E.Lorenzo (2004) states that the different information (availability of irradiation data) sources are rather consistent, but also that the accuracy of general solar resource estimations is much lower than usually expected. Any future sizing exercise based on one side, on some classical daily consumption scenario (number of hours of radio, lamps, number of litters of water per person etc.), and on the other hand, on solar irradiation data (past observations, solar information sources, mathematical models, etc.) would associate a significant uncertainty for two main reasons: The selection of a particular solar radiation information source. In the case of rural electrification, the scarce representativeness of any hypothetic standard energy consumption value. The PV designer should always bear in mind that, whatever the selected procedure, PV design is essentially a prediction exercise which accuracy is unavoidably limited by the above reasons.
A.A. El-Sehaii and A.A. Trabea (2003) proposed first request and second request connections that can be utilized precisely for foreseeing the yearly normal of even diffuse radiation, which helps in assessment of the drawn out presentation of the different sun powered energy devices.Arne Jacobson et al. (2003) sun oriented information gathered during 1996-98 demonstrate that the yearly normal worldwide sunlight based energy on a flat plane for Leh during the period was 5530 Whr/m2/day, and at a 35o South confronting slant the yearly normal was 6360 Whr/m2/day. These information affirm that Leh has a great sun oriented resource. The assessed yearly normal every day sun based energy on an even plane accessible at Kargil was 5390 Whr/m2/day and for the Nubra valley it was 5300 Whr/m2/day. These information demonstrate that on a yearly premise the provincial varieties in sun oriented energy in the Ladakh locale are moderate. Notwithstanding, mountain shedding makes huge contrasts in
sunlight based admittance from one region to another. Some town have magnificent sun oriented admittance, with very little mountain concealing, different towns misfortune 20 to 40% or a greater amount of the accessible sun powered energy in some every year because of mountain concealing.
Subsequently it is basic to assess every town or site for sunlight based admittance prior to carrying out sun powered related tasks in Ladakh.
Atsu, S.S. Dorulo et al. (2002) have exhibited the utilization of neural organization techniques in demonstrating sun powered radiation. Both the Radial Basis Function and multi-facet insight networks are acceptable in displaying the arrangement of information. Nonetheless, the RBF is to be favored on the grounds that it requires less registering force and time. The models can be utilized to foresee sun powered radiation in those areas in the Sultanate of Oman where estimations of daylight hours are accessible notwithstanding the scope, longitude and elevation estimations of the areas.
Francisco Meza and Eduardo Vavas (2000) utilizing Empirical models to assess worldwide sun powered radiation region advantageous device if the boundaries can be adjusted for various areas. These models enjoy the benefit of utilizing meteorological information which are regularly accessible. The models proposed by Allen and Bristow-Campbell are satisfactory and permit assessments of mean normal worldwide sunlight based radiation as an element of air temperature variety.
M. Mohandas et al. (1998) presented unbiased organizations method for demonstrating the spatial variety of worldwide sun based radiation. The outcomes on the areas demonstrate a somewhat great understanding between the noticed and anticipated qualities. The outcomes from G. V. Parishwad et al.
(1998) study can be utilized to appraise sun based radiation for any areas in India, as the spots chose for assessment of limitations and forecast thereof are genuinely disseminated over the entire of India B.T. Nguyen and T.L. Pryor (1996) states the PC model is satisfactory for use in running displaying programs the exceptionally helpful instruments for
deciding the capability of sun powered energy applications and utilizations in Vietnam. In light of the nitty gritty writing study, a large portion of the surveys manage expectation of the worldwide sunlight based radiation. Here the creator considered the impacting estimated boundaries like daylight hours, normal temperature, relative dampness, pneumatic stress, and SPM to break down the worldwide sun powered radiation in Coimbatore. The worldwide radiation misfortune in the environment of the metropolitan region is consistently higher than that for the provincial region.
3. CONCLUSION & FUTURE WORK This shows our fundamental work on the sun powered energy demonstrating and BS energy distribution in cell networks dependent on sun oriented radiation information. We present the factual attributes of sunlight based energy appearances and give a basic and general approach to foresee future's sun oriented energy appearances.
REFERENCES
1. Abdel-Ghany, A.M. and Al-Helal, I.M.
"Characterization of solar radiation transmission through plastic shading nets", Solar Energy Materials and Solar Cells, Vol.94, pp.1371-1378, 2010.
2. Solar Radiant Energy Over India Meteorological Department, Ministry of Earth Sciences, New Delhi, 2009.
3. Akaskal, A., Rehman, S., Global, “Solar radiation in Northeastern Saudi Arabia”
Renewable, vol.17 pp 461-472, 1999.
4. Alan G.Barr, McGinn, S.M. and Sl Bing Chang. "A comparison of Methods to Estimate Daily Global Solar Irradiation from other climatic variables on the Canadian Prairies", Solar Energy, Vol.56, No.3, pp.213-22.
5. Ali, A.Sabziparvar and Shetaee, H.
"Estimation of global solar radiation in arid and semi-arid climates of East and West Iran", Energy, Vol.32, pp.649-655, 2007.
6. Arne Jacobson. "Solar Energy Measurements for Ladakh, India", Proceedings of the 24th National Renewable Energy Convention 2000 of the Solar Energy Society of India, pp.1-12, 2000.
7. Atsu, S. S. Dorolo, Joseph A. Jervase and Ali Al-Lawati. "Solar radiation estimation using artificial neural networks", Applied Energy, 77, pp.307-319, 2002.
8. Bashahu, M. "Statistical Comparison of models for estimating the monthly average daily diffuse radiation at a sub-tropical African Site", Solar Energy, Vol.75, pp.43-51, 2003.
9. Behrang, M.A., Assareh, E., Ghanbarzadeh, A. and Noghrehabadi. "The potential of
different artificial neural network (ANN) techniques in daily global solar radiation modeling based on meteorological data", Solar Energy, Vol.84, pp.1468-1480, 2010.
10. Chu, X.S. and Liu, L.H. "Analysis of terrestrial solar radiation exergy", Solar Energy, Vol.83, pp.1390-1404, 2009.
11. David, W. Meek. "Estimation of maximum possible daily global solar radiation", Agricultural and Forest Meteorology, Vol.87, pp.223-241, 1997.
12. Ellouz, F., Masmoudi, M. and Medhioub, K.
"Study of the atmospheric turbidity over Northem Tunisia”, Renewable Energy, pp. 01- 05, 2008.
13. El-Sebaii, A.A. and Trabea, A.A. "Estimation of horizontal diffuse solar radiation in Egypt", Energy Conversion & Management, 44, pp.2471-2482, 2003.
14. Fatih Onur Hocaodlu. "Stochastic approach for daily solar radiation modeling", Solar Energy, Vol.85, pp.278-287, 2011.
15. Francisco Jose Sanchez de la Flor, Rafael Ortiz Cebolla, Jose Luis Molina Felix and Servundo Alvarez Dominguez. "Solar radiation calculation methodology for building exterior surfaces", Solar Energy, Vol.79, pp.513-522, 2005.
16. Francisco Meza and Eduardo Varas.
"Estimation of mean monthly solar global radiation as a function of temperature", Agricultural and Forest Meteorology, Vol.100, pp.231-241, 2000.
17. Gayathri Vijayakumar, Michael Kummert, Sanford A.Klein and William A.Beckman.
"Analysis of Short-term solar radiation data", Solar Energy, Vol.79, pp.495-504, 2005.
18. Helen, C. Power. "Estimating Clear-Sky Beam Irradiation from Sunshine Duration", Solar Energy, Vol.71, No.4, pp.217-224, 2001.
19. http://cpcb.nic.in (Central Pollution Control Board)
20. http://www.imdpune.gov.in (India Meteorological Department)
21. http://www.tnau.ac.in (Tamilnadu Agricultural University)
22. Husamettin Bulut and Orhan Buyukalaca.
"Simple model for the generation of daily global solar-radiation data in Turkey", Applied Energy, 84, pp.477-491, 2007.
23. Lziomon, M.G., Mayer. H. “Assessment of some global solar radiation parameterizations”, Atmospheric Solar Terrestrial Physics, vol64 pp 1631-1643, 2002.
24. Jerome G.Fortin, Francois Anctill, Leon- Etienne Parent and Martin A.Bolinder.
"Comparison of empirical daily surface incoming solar radiation models", Agricultural and Forest Meteorology, Vol.148, pp.1332- 1340, 2008.
25. John A. Duffie & William A. Backman “Solar Engineering” John Wiley & Sons, NC. 2006.
26. Kadir Bakirci. "Correlations for estimation of daily global solar radiation with hours of bright sunshine in Turkey", Energy, 34, pp.485-501, 2009.
27. Kadir Bakirci. "Models of Solar radiation with hours of bright sunshine: A review", Renewable and Sustainable Energy Reviews, 13, pp.2580-2588, 2009.
28. Kevin, K.W.Wan, K.L.Cheung, Dalong Liu and Joseph C.Lam. "Impact of modelled global solar radiation on simulated building heating and cooling loads", Energy Conversion and Management, 50, pp.662-667, 2009.
29. Kim, M.Y., Wilson, J.W. and Cucinotta, F.A.
"A solar cycle statistical model for the projection of space radiation environment", Advances in Space Research, Vol.37, pp.1741-1748, 2006.
30. Krishnaiah, T., Srinivasa Rao, S., Madhumurthy and Reddy, K.S. "Neural Network Approach for modeling Global Solar Radiation", Journal of Applied Science Research, Vol.3, No.10, pp.1105-1111, 2007.
31. Labed, S. and Lorenzo, E. "The Impact of solar radiation variability and data discrepancies on the design of PV systems", Renewable Energy, 29, pp.1007-1022, 2004.
32. Lu Jianfeng, Ding Jing and Yang Jianping.
"Heat transfer performance of an external receiver pipe under unilateral concentrated solar radiation", Solar Energy, 84, pp.1879- 1887, 2010.
33. MaRIA La Gennusa, Antonino Nucara, Matilde Pietrafesa and Gianfranco Rizzo. "A model for managing and evaluating solar radiation for indoor thermal comfort", Solar Energy, Vol.81, pp.594-606, 2007.
34. Mohandes, M., Rehman, S. and Halawani, T.O. "Estimation of Global Solar Radiation using Artificial Neural Networks", Renewable Energy, Vol.4, Nos.1-4, pp.179-184, 1998.
35. Mubiru, J. and Banda, E.J.K.B. "Estimation of monthly average daily global solar irradiation using artificial neural networks", Solar Energy, Vol.82, pp.181-187, 2008.
36. Nguyen, B.T. and Pryor, T.L. "A Computer Model to estimate Solar Radiation in ietnam", WREC, pp.1274-1278, 1996.
37. Ozan Senkal. "Modeling of solar radiation using remote sensing and artificial neural network in Turkey", Energy, 35, pp.4795- 4801, 2010.
38. Parishwad, G.V., Bhardwaj, R.K. and Nema, V.K. "Effect of Rainfall on the estimation of Monthly mean Hourly Solar radiation for India", Renewable Energy, Vol.13, No.4, pp.505-521, 1998.
39. Rahoma, U.A. “Clearness index estimation for spectral composition of direct and global solar radiation”, Applied Energy, vol 68, pp 337- 346, 2001.
40. Ramachandra, T.V., Subramanian, D.K.,
“Potential and prospeets of solar energy in Uttara Khannada, district of Karnataka State, India”, Energy Sources, vol 19 pp 945-988, 1997.
41. Rani Gupta and Tiwari, G.N. "Modeling of energy distribution inside green house using
concept of solar fraction with and without reflecting surface on north wall", Building and Environment, vol. 40, pp.63-71, 2005.
42. Rehman, S., Saleem, C.G. “Spatial estimation of global solar radiation using geostatisties”, Renewable Energy, vol. 21, pp 583-605, 2000.
43. Ricardo Marquez and Carlos, F.M. Coimbra.
"Forecasting of global and direct solar irradiance using stochastic learning methods, ground experiments and the NWS database", Solar Energy, Vol.85, pp.746-756, 2011.
44. Richard G.Allen, Ricardo Trezza and Masahiro Tasumi. "Analytical integrated functions for daily solar radiation on slopes", Agricultural Forest Meteorology, 139, pp.55- 73, 2006.
45. Robaa, S.M. "Urban-rural solar radiation loss in the atmosphere of Greater Cairo region Egypt", Energy Conversion and Management, 50, pp.194-202, 2009.
46. Sekar, M., Sakthivel, M., Satheesh Kumar, S.
and Ramesh, C. “Estimation of Global solar Radiation for Chennai”, European Journal of Scientific Research, Vol. 73 No.3, pp. 415- 424, 2012.
47. Solanki, C.S. and Sangani, C.S. "Estimation of monthly averaged direct normal solar radiation using elevation angle for any location", Solar Energy Materials and Solar Cells, Vol.92, pp.38-44, 2008.
48. Suhas P. Sukhatme. Solar Energy, Tata McGraw-Hill Publishing Company Limited, New Delhi, 2007.
49. Ted Soubdhan, Richard Emilion and Rudy Calif. "Classification of daily solar radiation distributions using a mixture of Divichlet distributions", Solar Energy, Vol.83, pp.1056- 1063, 2009.
50. Tiwari, D.N. “Solar Energy”, Narosa Publishing house New Delhi 2004.
51. Twidell, J.W. and Weir, A.D. “Renewable energy resources” E & F.N Spon Ltd. London, 1986.
52. Tymvios, F.S., Jacouides, C.P., Michaelides and Scouteli, C. "Comparative Study of Angstrom's and artificial neural networks methodologies in estimating global solar radiation", Solar Energy, Vol.78, pp.752-762, 2005.
53. Xiaoying Liu, Xuvong Mei, Yuzhoung Li, Qingsuo Wang, Jens Raunso Jensen, Yanqing Zhang and John Roy Porter. “Evaluation of temperature-based global solar radiation models in China”, Agricultural and Forest Meteorology, 149, pp. 1433-1446, 2009.
54. Yogi Goswami, D. Frank Kreith Jan F. Kreider
“Principles of solar Engineering”, Taylor &
Francis, USA 2003.
