Techno economic assessment of wind energy potential in selected sites with uncertainty factors

Abstract

This work demonstrates a techno-economical assessment of wind newlineenergy potential for four passes of Tamil Nadu (Aralvaimozhi, Shencottah, newlinePalghat, and Cumbum) with uncertainty factors. First, a potential assessment newlinewas carried out with time-series data, and the Weibull parameters, such as c newline(scale) and k (shape), were determined using the modern-era retrospective newlineanalysis for research and applications (MEERA) data set. Using these newlineparameters, the mean speeds, most probable speed, power density, maximum newlineenergy-carrying speed of wind power were determined. newlineFrom the analysis, it was observed that all four passes had better newlinewind parameters; notably, the Aralvaimozhi pass attained a better range of newlineabout 6.563 m/s (mean wind speed), 226 w/m2 (wind power density), newline6.403 m/s (most probable wind speed), and 8.699 m/s (max wind speed). newlineFurther, uncertainty factors, such as the probability of exceedance (PoE), newlinewind shear co-efficient (WSC), surface roughness, and wake loss effect newline(WLE), were evaluated. newlineThe value of PoE was found to be within the bound for all the newlinelocations, i.e., below 15%. In addition, the ranged of WSC showed a good newlinetrend between 0.05 and 0.5. Moreover, the surface length of the passes was newlineevaluated and recorded to be 0.0024 m with a 73% energy index. Further, newlineoutput power, annual energy production (AEP), capacity factor (CF), and newlinecost of wind energy of all four passes were computed using different wind newlineturbine ratings in two cases, i.e., with and without WLE. newlineIt was observed that there was a huge profit in loss from all the newlinefour locations due to WLE that was estimated to be Rupees (Rs.) 10.07 crores newlinewithout considering interest components and Rs.11.38 crores with interest newlinecomponent at a 10% annual rate of interest. newline