APowerCap Technologies Inc. offers ultracapacitors that have been designed using our proprietary breakthrough ultracapacitor technology. This unique technology allowed us to reach values of specific power that exceed 5 kW/kg at a 95% efficiency that corresponds to more than 20 kW/kg at a 50%, keeping the energy density within 1.5-4.5 Wh/kg despite the use of low-cost nanoporous carbon.
Our major goal is to satisfy global market requirements for ultracapacitors in both performance and price. We offer products for prices that at least 20% lower, compared to products with similar voltage/capacitance rates already available on the market.
APowerCap Technologies Inc. has designed ultracapacitors with outstanding performance that have been recognized by the leading industry experts to be the best in the world in terms of power density. APowerCap Technologies Inc. ultracapacitors can be used for a wide range of applications, including consumer electronics, power quality systems, automotive industry and many others. Feel free to contact us to discuss usage of our ultracapacitors in your application.
On the basis of these single ultracapacitor elements, APC may develop and produce wide product range of high quality modules, with different voltages and capacitance values. Our best modules are made with this type of cell. They are the most efficient, perform the best in most conditions, and last the longest.
We pride ourselves on a unique combination of high quality, competitive technology innovation, excellent technical knowledge and outstanding customer service.
Quality to us is paramount! We only deal with quality assured manufacturers of the raw materials and our quality commitment permeates our working practices at every level.
Correct prediction of sediment transport to prevent of deposition in sewer pipes is very important for designing of sewer network. The application of two different data-driven approaches, gene expression programming (GEP), which is an extension of genetic programming (GP) and group method of data handling (GMDH) for bed load sediment transport estimation, is compared in this paper. Also GEP and GMDH were compared with the other existing sediment transport equations, which were obtained using nonlinear regression analysis. Using non-dimensional parameters affecting sediment transport at sewer pipe, different models to determine minimum velocity have been provided. The non-deposition sediment transport data for bed load sediment transport from two different references are used. The root mean square error (RMSE), mean average percentage error (MAPE) and determine of coefficient (R2) are used for evaluating of the accuracy of the models. As the comparisons demonstrated, the GEP (RMSE = 0.14, MAPE = 2.82 R2 = 0.99) and GMDH (RMSE = 0.35, MAPE = 5.1 R2 = 0.95) models are more accurate than existing equations and could be successfully employed in forecasting minimum velocity. However, GEP is superior to GMDH in giving explicit expressions for the problem.