Managing energy transition alongside environmental protection by making use of AI-led butanol powered SI engine optimization in compliance with SDGs

• DOI: 10.1016/j.heliyon.2024.e29698
• Publication Date: 2024-04-18T15:51:56Z
• Authors: Muhammad Ali Ijaz...; Muhammad Usman; Muhammad Waqas Ra...; Sohaib Raza; Muhammad Wajid Sa...; Naseem Abbas; Uzair Sajjad; Khalid Hamid; Mohammad Rezaul K...; Md Abul Kalam
• Keywords: Environmental Compliance; Energy transition

Enormous consumption of fossil fuel resources has risked energy accessibility in the upcoming years. The price fluctuation and depletion rate fuels instigate urgent need for searching their reliable substitute. current study tries to address these issues by presenting butanol as a replacement gasoline SI engines at various speeds loading conditions. emission performance parameters were ascertained eight distinct butanol-gasoline blends. oxygenated substantially increases engine efficiency boosts power with lower consumption. carbon emissions also observed be comparison gasoline. Furthermore, Artificial Intelligence (AI) approach was used predicting running on correlation coefficients data training, validation, testing found 0.99986, 0.99942, 0.99872, respectively. It confirmed that ANN predicted results accordance established statistical criteria. paired Response Surface Methodology (RSM) technique comprehend influence sole design along interactions controlling responses. Similarly, R2 value responses case RSM close unity mean relative errors (MRE) confined under specified range. A comparative between models unveiled model should preferred. Therefore, joint utilization can more effective predictions.