HARC Researchers to present how to Apply Data Science to Rapid Modeling of Dual Fuel Technology for Life Cycle Assessment (LCA)
HARC research associate, Dr. Fanxu Meng, will orally present paper entitled “Apply Data Science to Rapid Modeling of Dual Fuel Technology for Life Cycle Assessment (LCA)” at the 9th International Conference on Environmental Science and Technology 2018 held on June 25-29, 2018 in Houston, Texas. Dual fuel diesel engines utilize natural gas and diesel fuel together for reduced emissions and improved fuel economy. High horsepower dual fuel engines are used in oilfield operations such as drilling and hydraulic fracturing.
Dr. Meng will discuss how data science (e.g. machine learning) is applied to analyze field testing data of dual fuel engines enabling rapid prediction of emissions, fuel consumption and other parameters. This powerful tool will enable users of the technology to optimize operation of dual fuel engines with an average uncertainty of between 3.9% and 10.4%. He will discuss integrating this model into life cycle assessment/analysis (LCA) to evaluate economic and environmental impacts for a range of operating conditions. This innovative application of data science to analyze dual fuel technology for the purpose of LCA illustrates the enormous potential of such methods to improve environmental performance, optimize operational planning, and reduce costs..