[2] T.S.G. Peiris and R.O. Thattil, An Alternative Model to Estimate Solar Radiation

Μέγεθος: px

Εμφάνιση ξεκινά από τη σελίδα:

Download "[2] T.S.G. Peiris and R.O. Thattil, An Alternative Model to Estimate Solar Radiation"

Χλόη Αποστολίδης
6 χρόνια πριν
Προβολές:

1 References [1] B.V.R. Punyawardena and Don Kulasiri, Stochastic Simulation of Solar Radiation from Sunshine Duration in Srilanka [2] T.S.G. Peiris and R.O. Thattil, An Alternative Model to Estimate Solar Radiation [3] Inci Turk Togrul, Estimation of Solar Radiation from Angstroms Coefficients by using Geographical and Meteorological Data in Bishkek, Kyrgystan [4] R.Cambell-Howe and B.Wilkins-Crowder, Proceedings of the Solar 99 Conference [5] Dave Renne, Ray george, Bill Marion, and Donna Heimiller, Solar Resource Assessment for Sri lanka and Maldives, Chris Gueymard (Solar Consulting Services) [6] F.R.Martins, E.B.Pereira,and S.L.Abrue Satellite-derived Solar Resource Maps for Brazil under SWERA project, 2005 [7] Eugene L.Maxwell, Raymond L.George,and Stephen M.Wilcox, A Climatological Solar Radiation Model, 1998 American Solar Energy Society Annual Conference [8] Solar Radiation Data manual for Flat-Plate and Concentrating Collectors, NREL [9] A Bose, Multiple Linear Regression [10] K. Scharmer and J. Greif, European Solar Radiation Atlas, vol 1: Fundamentals and Maps [11] Raymond L. George and Pamela Gray-Hann NREL North American Solar Radiation Atlas Page 39 of 53

2 [12] A.M. Muzathik, W.B.W. Nik, M.Z. Ibrahim, K.B. Samo, K. Sopian and M.A. Alghoul Daily Global Solar Radiation Estimate Based on Sunshine Hours, International Journal of Mechanical and Materials Engineering, Vol. 6, 2011 [13] Harlan H. Bengtson, Solar Energy Fundamentals [14] Allin Cottrell, Regression Analysis: Basic Concepts Page 40 of 53

3 Appendix A: Regression Analysis: H versus C, n, p, Ta, Sin δ, r, W, G The regression equation is H = C n p Ta Sin δ r W G 273 cases used, 3 cases contain missing values Predictor Coef SE Coef T P Constant C n p Ta Sin δ r W G S = R-Sq = 69.5% R-Sq(adj) = 68.6% Analysis of Variance Source DF SS MS F P Regression Residual Error Total Source DF Seq SS C n p Ta Sin δ r W G Unusual Observations Obs C H Fit SE Fit Residual St Resid X X R R R R R R R X R R R R Page 41 of 53

4 R RX R R R R R R R denotes an observation with a large standardized residual. X denotes an observation whose X value gives it large influence. Page 42 of 53

5 Appendix B: Regression Analysis: H versus C, n, p, Ta, Sin δ, r, W The regression equation is H = C n p Ta Sin δ r W 273 cases used, 3 cases contain missing values Predictor Coef SE Coef T P Constant C n p Ta Sin δ r W S = R-Sq = 69.3% R-Sq(adj) = 68.4% Analysis of Variance Source DF SS MS F P Regression Residual Error Total Source DF Seq SS C n p Ta Sin δ r W Unusual Observations Obs C H Fit SE Fit Residual St Resid X X R R R R R R X R R R R R X R Page 43 of 53

6 R R R R R R denotes an observation with a large standardized residual. X denotes an observation whose X value gives it large influence. Page 44 of 53

7 Appendix C: Regression Analysis: H versus C, n, p, Ta, Sin δ, r The regression equation is H = C n p Ta Sin δ r 273 cases used, 3 cases contain missing values Predictor Coef SE Coef T P Constant C n p Ta Sin δ r S = R-Sq = 69.1% R-Sq(adj) = 68.4% Analysis of Variance Source DF SS MS F P Regression Residual Error Total Source DF Seq SS C n p Ta Sin δ r Unusual Observations Obs C H Fit SE Fit Residual St Resid X X R R R R R R X R R R R R X R R R Page 45 of 53

8 R R denotes an observation with a large standardized residual. X denotes an observation whose X value gives it large influence. Page 46 of 53

9 Appendix D: Regression Analysis: H versus C, n, p, Ta, Sin δ, W The regression equation is H = C n p Ta Sin δ W 273 cases used, 3 cases contain missing values Predictor Coef SE Coef T P Constant C n p Ta Sin δ W S = R-Sq = 69.1% R-Sq(adj) = 68.4% Analysis of Variance Source DF SS MS F P Regression Residual Error Total Source DF Seq SS C n p Ta Sin δ W Unusual Observations Obs C H Fit SE Fit Residual St Resid X X R R R R R R X R R R R R X R R R R Page 47 of 53

10 R R R denotes an observation with a large standardized residual. X denotes an observation whose X value gives it large influence. Page 48 of 53

11 Appendix E: Regression Analysis: H versus C, n, Ta, Sin δ, r, W The regression equation is H = C n Ta Sin δ r W Predictor Coef SE Coef T P Constant C n Ta Sin δ r W S = R-Sq = 69.0% R-Sq(adj) = 68.3% Analysis of Variance Source DF SS MS F P Regression Residual Error Total Source DF Seq SS C n Ta Sin δ r W Unusual Observations Obs C H Fit SE Fit Residual St Resid R R R R R R R R R R R R R R R R R R denotes an observation with a large standardized residual. Page 49 of 53

12 Appendix F: Regression Analysis: H versus C, n, p, Ta, Sin δ The regression equation is H = C n p Ta Sin δ 273 cases used, 3 cases contain missing values Predictor Coef SE Coef T P Constant C n p Ta Sin δ S = R-Sq = 69.0% R-Sq(adj) = 68.4% Analysis of Variance Source DF SS MS F P Regression Residual Error Total Source DF Seq SS C n p Ta Sin δ Unusual Observations Obs C H Fit SE Fit Residual St Resid X X R X R R R R R X R R R R X R R R R R denotes an observation with a large standardized residual. X denotes an observation whose X value gives it large influence. Page 50 of 53

13 Appendix G: Regression Analysis: H versus C, n, Ta, Sin δ, r The regression equation is H = C n Ta Sin δ r Predictor Coef SE Coef T P Constant C n Ta Sin δ r S = R-Sq = 68.8% R-Sq(adj) = 68.2% Analysis of Variance Source DF SS MS F P Regression Residual Error Total Source DF Seq SS C n Ta Sin δ r Unusual Observations Obs C H Fit SE Fit Residual St Resid R R R R R R R R R R R R R R R denotes an observation with a large standardized residual. Page 51 of 53

14 Appendix H: Regression Analysis: H versus C, n, Ta, Sin δ The regression equation is H = C n Ta Sin δ Predictor Coef SE Coef T P Constant C n Ta Sin δ S = R-Sq = 68.6% R-Sq(adj) = 68.2% Analysis of Variance Source DF SS MS F P Regression Residual Error Total Source DF Seq SS C n Ta Sin δ Unusual Observations Obs C H Fit SE Fit Residual St Resid R R R R R R X X R R R R R R X R R denotes an observation with a large standardized residual. X denotes an observation whose X value gives it large influence. Page 52 of 53

15 Appendix I: Data Set Page 53 of 53

16 2011 Day July August Julian Solar Radiation Cloud Sunshine Precipitat Open Mean Temperatur Air Sine value of Relative Declination Humidity Max wind speed Day (MJ/m2) cover ( %) hours (hrs) ion (mm) e (deg. C) Angle (%) (m/s) (m/s) Wind Speed gust

17 2011 Julian Solar Cloud Sunshine Precipitat Open Air Sine value of Relative Wind Max gust Day Radiation Mean wind Declination Humidity Speed Temperatur speed Day (MJ/m2) cover ( %) hours (hrs) ion (mm) e (deg. C) Angle (%) (m/s) (m/s) August September

18 2011 Day September October Julian Solar Cloud Sunshine Precipitat Open Air Sine value of Relative Wind Max gust Radiation Mean wind Declination Humidity Speed Temperatur speed Day (MJ/m2) cover ( %) hours (hrs) ion (mm) e (deg. C) Angle (%) (m/s) (m/s)

19 2012 Julian Solar Cloud Sunshine Precipitat Open Air Sine value of Relative Wind Max gust Day Radiation Mean wind Declination Humidity Speed Temperatur speed Day (MJ/m2) cover ( %) hours (hrs) ion (mm) e (deg. C) Angle (%) (m/s) (m/s) February

20 2012 Julian Solar Cloud Sunshine Precipitat Open Air Sine value of Relative Wind Max gust Day Radiation Mean wind Declination Humidity Speed Temperatur speed Day (MJ/m2) cover ( %) hours (hrs) ion (mm) e (deg. C) Angle (%) (m/s) (m/s) March

21 2012 Julian Solar Cloud Sunshine Precipitat Open Air Sine value of Relative Wind Max gust Day Radiation Mean wind Declination Humidity Speed Temperatur speed Day (MJ/m2) cover ( %) hours (hrs) ion (mm) e (deg. C) Angle (%) (m/s) (m/s) April

22 2012 Julian Solar Cloud Sunshine Precipitat Open Air Sine value of Relative Wind Max gust Day Radiation Mean wind Declination Humidity Speed Temperatur speed Day (MJ/m2) cover ( %) hours (hrs) ion (mm) e (deg. C) Angle (%) (m/s) (m/s) May

23 Julian Solar Cloud Sunshine Precipitat Open Air Sine value of Relative Wind Max gust Day Radiation Mean wind Declination Humidity Speed Temperatur speed Day (MJ/m2) cover ( %) hours (hrs) ion (mm) e (deg. C) Angle (%) (m/s) (m/s) June

24 Julian Solar Cloud Sunshine Precipitat Open Air Sine value of Relative Wind Max gust Day Radiation Mean wind Declination Humidity Speed Temperatur speed Day (MJ/m2) cover ( %) hours (hrs) ion (mm) e (deg. C) Angle (%) (m/s) (m/s) July

25 Day 2012 August Julian Solar Cloud Sunshine Precipitat Open Air Sine value of Relative Wind Max gust Radiation Mean wind Declination Humidity Speed Temperatur speed Day (MJ/m2) cover ( %) hours (hrs) ion (mm) e (deg. C) Angle (%) (m/s) (m/s)

Σχετικά έγγραφα

2. ΧΡΗΣΗ ΣΤΑΤΙΣΤΙΚΩΝ ΠΑΚΕΤΩΝ ΣΤΗ ΓΡΑΜΜΙΚΗ ΠΑΛΙΝΔΡΟΜΗΣΗ

2. ΧΡΗΣΗ ΣΤΑΤΙΣΤΙΚΩΝ ΠΑΚΕΤΩΝ ΣΤΗ ΓΡΑΜΜΙΚΗ ΠΑΛΙΝΔΡΟΜΗΣΗ Η χρησιμοποίηση των τεχνικών της παλινδρόμησης για την επίλυση πρακτικών προβλημάτων έχει διευκολύνει εξαιρετικά από την χρήση διαφόρων στατιστικών