Energy, exergy, economic, environmental (4E) and frequency distribution analysis of train wind gust with real-time data for energy harvesting

Abstract The wind gust velocity of trains are above the cut in speed turbines. Multiple cases studies estimate available energy and potential electrical output with numerical computational models. These velocities dynamic nature. This work collects real time data using acquisition, conducted 4E Weibull frequency distribution analysis. acquired is further used as a signal to Simulink emulator harvesting systems. distinguishes producing benchmarking results when compared From interpretation analysis, non-uniform ranges from 2.3 7.1 m s −1 recorded scale parameter value(A) 5.54 . maximum power for after considering Betz limit 159.6 W, whilst systems produces 126.4 W 123.08 exergy efficiency 49.38 49.14%. estimated 1KM range on both side traction poles about 3.3 KW/KM. environmental economic analysis reconfirms feasibility proposed model capacity factor 5.74%. Other findings corresponding variation respect dynamic-wind limited due inertia stored kinetic system, role location, weather statistics influence tail winds shaping also adjudged crucial factors.