OPTIMIZATION OF PRODUCTION, TECHNOLOGICAL, AND SUSTAINABILITY FACTORS INFLUENCING BIOETHANOL PRODUCTION IN INDUSTRIAL BIOTECHNOLOGY

Ishitta Sarkar; Dr. Manokamana Ram; Dr. Ambika Kumar; Aishwarya Rajput; Sushmita Maleysm; Dr. Yogita Abhijeet Jamdade

Ishitta Sarkar Department of Biotechnology, Kanpur Institute of Technology (KIT), Dr. A.P.J. Abdul Kalam Technical University (AKTU), Kanpur, Uttar Pradesh, India
Dr. Manokamana Ram Assistant Professor in Economics, Department of Economics, Faculty of Social Sciences, Banaras Hindu University, Varanasi (UP, India)-221005
Dr. Ambika Kumar Assistant Professor, Department of Chemistry, Bhagalpur National College, Bhagalpur - 812007 (A Constituent Unit of TMBU Bhagalpur), Bihar, India
Aishwarya Rajput Research scholar, Department of pharmacy Pharmaceutical chemistry, Banasthali vidyapith, niwai, rajasthan, 304022
Sushmita Maleysm Research scholar, Department of Biosciences and Biotechnology, BANASTHALI VIDYAPITH TONK, NEWAI RAJASTHAN 304022
Dr. Yogita Abhijeet Jamdade Professor & HOD,Samhita Siddhanta and Sanskrit, PDEA'S College of Ayurved and Research Centre, Nigdi, Pune

Abstract

Considering the benefits of cleaner energy production and dependence upon fossil fuels, bioethanol is an emerging renewable biofuel and also important for industrial biotechnology. This study assessed production, technological, economic and sustainability factors affecting the bioethanol growth from a structured data set of 2000 observations. Feedstock yield, production capacity, processing technology efficiency, energy use, feedstock cost, transportation cost, distribution cost, carbon emissions, water use, market demand, price per gallon, government incentive status, and bioethanol growth were all variables. Descriptive statistics, Pearson correlation, independent-samples t-test, chi-square analysis, and multiple linear regression were used. The outcomes revealed that most of the production, economic and sustainability variables were weakly associated with the bioethanol growth. Only the processing technology efficiency proved to be statistically significantly linked to bioethanol development and that only in a small measure. There was no significant difference between the mean value of bioethanol growth for the different incentive status of the government. Only a small percentage of the overall variation was accounted for by the regression model, which suggests that other biological and process-specific factors may affect production performance. The results indicate that optimal bioethanol production and utilization should be considered from multiple aspects, including technology efficiency, feedstock utilization, economic analysis, sustainability indicators and fermentation related aspects. In the future, the studies should be performed in conjunction with microbial, enzymatic and operational parameters to increase the understanding of bioethanol production efficiency.