Simulation and experimental validation of hill-climbing algorithm for maximum power point tracking of solar photovoltaic plant

measure of scientometric performance – IITs Kharagpur, Delhi, Roorkee and Bombay rank ahead of IIT Madras. Figure 4 which is the scatter plot of exergy per faculty (X/F) score versus faculty (F) tells an entirely different story. The Institute of Chemical Technology, Mumbai is by far the best performer. In this scheme IIT Madras ranks thirteenth. Figure 5 which is a scatter plot of exergy per crore of spending (X/S) score versus spend (S) tells yet another story. Jamia Millia Islamia is the best performer, followed by Jadavpur University and the Institute of Chemical Technology, Mumbai. Now IIT Madras ranks twentieth. It would seem that throwing more money at the IITs reduces their productivity or efficiency in translating rupees to scientific wealth. We used the bibliometric data that have been released through the NIRF 2017 rankings to see how the top 25 engineering institutions fare if only research excellence is considered. Performance is decomposed into a sizedependent exergy term and size-independent productivity and efficiency terms. The Pearson’s correlation coefficients and scatter plots show that various alternative rankings can be made. A ranking based on a second-order measure of scientometric performance shows that IITs Kharagpur, Delhi, Roorkee and Bombay rank ahead of IIT Madras. If a productivity measure such as exergy per faculty (X/F) score is chosen, the Institute of Chemical Technology, Mumbai is by far the best performer; here IIT Madras ranks thirteenth. If an efficiency measure such as exergy per crore of spending (X/S) score is considered, we find that Jamia Millia Islamia is the best performer, followed by Jadavpur University and the Institute of Chemical Technology, Mumbai; here IIT Madras ranks twentieth. It also seems that higher spending only reduces productivity or efficiency in translating rupees to scientific wealth. The ranking based on NIRF scores of IIT Madras as the best engineering institution in India is too simplistic a conclusion – it is the tragedy of the single story indeed. 1. Savithri, S. and Prathap, G., Indian and Chinese higher education institutions compared using an end-to-end evaluation. Curr. Sci., 2015, 108(10), 1922–1926. 2. Abramo, G. and D’Angelo, C. A., How do you define and measure research productivity? Scientometrics, 2014, 101(2), 1129–1144. 3. Abramo, G. and D’Angelo, C. A., A farewell to the MNCS and like size-independent indicators. J. Informetr., 2016; http://dx.doi.org/ 10.1016/j.joi.2016.04.006 4. Prathap, G., The Energy–Exergy–Entropy (or EEE) sequences in bibliometric assessment. Scientometrics, 2011, 87(3), 515–524. 5. Prathap, G., Making scientometric sense out of NIRF scores. Curr. Sci., 2017, 112(6), 1240–1242.