Characterization of Speed Based on Fuel Input Ratio on Generator Set Dual Fuel (Gasoline - Biogas) Using Artificial Neural Networks

Energy consumption in Indonesia has increased, it makes the role of renewable energy more developed with one of the renewable energy sources being intensified is biogas, especially for household scale. The gasoline-biogas dual fuel generator set saves the use of gasoline as fuel and reduces production costs. The gasoline-biogas mixture ratio affects engine performance, one of which is the rotational speed, for this reason it is necessary to have an artificial neural network software to find the best ratio in order to get the generator set rotational speed characterization with the best engine performance value. A total of 300 variations of data were processed using 75% ANN for training with the number of hidden nodes 100 net.trainParam.goal value = 0.0001, net.trainParam.lr = 0.01, and net.trainParam.epochs = 1000, and 25% for the test, producing values RMSE training 10.4812 at node 55 and RMSE value of test 5.8301 with the results of 3445.87 rotational speed get the best ratio at 0.012 L / minute gasoline and Biogas 5 L / minute.