Bio fuel abstract in IEEE format free download

biofuels abstract in ieee format free download

Abstract

The world's foremost source of reference to internationally published biofuels and bioenergy research.Biofuels Abstracts is a fully searchable abstracts database of internationally published research. Derived from CAB Abstracts, Biofuels Abstracts provides you with the latest information on biofuels and bioenergy, including production of energy crops, energy forestry, short-rotation coppice, processing of crops and agricultural wastes into biodiesel or fuel ethanol, utilization of fuelwood, and all CAB Abstracts records relating to key biofuel species such as Jatropha.Coverage also includes production of biogas from livestock wastes and agricultural residues, fermentation technology, utilization of bioenergy for fuels, electricity generation and heating, and energy policy, global change and land use issues affecting the biofuels market.Each week, Biofuels Abstracts delivers all the new highly-targeted, searchable summaries covering key English and non-English language journal articles, reports, conferences and books about biofuels and bioenergy.Biofuels Abstracts includes a fully searchable backfile to 1973. Over 69,000 research summaries bring a wealth of current and seminal research in biofuels and bioenergy to your fingertips!The United States has become increasingly dependent on foreign sources of energy [1]. The objective of this project is to evaluate plans to reduce this dependency by utilizing corn ethanol and soybean biodiesel in the transportation sector to replace the largest feasible quantity of petroleum fuel while remaining cost-effective and environmentally sound. Simulations covering the production of these fuels and their impacts on external systems are utilized to determine effective feasible production plans. Feasibility is determined by considering carbon dioxide emissions, strain on the food market for said crops, and the amount of biofuels produced. The feasible alternatives are compared using a multi-attribute utility function. The scope of this project is limited to the next 10 years when the technologies for more viable options are expected to mature.