Sustainability aspects and optimization of linseed biodiesel blends for compression ignition engine

Abstract

The present work is aimed at experimental optimization of the linseed biodiesel blends as sustainable fuel for compression ignition engine. The experiments were conducted to study the comparative combustion, performance, and emissions characteristics of linseed biodiesel-diesel fuelled single cylinder compression ignition engine. The comparison was done with base fuel as diesel and linseed oil biodiesel at 1500 6 10 rpm. Experiments were performed at various blends of linseed biodiesel and engine loads. At full load and LB10, comparable mass fraction burnt, better rate of pressure rise and brake mean effective pressure, improved indicated thermal efficiency (10% to 12%) and lower specific fuel consumption (4% to 6%) were observed. The emission of CO and hydrocarbon and opacity were reduced. But there was slight increase in CO 2 and NO emissions. The optimized blend for linseed biodiesel can be taken as LB10. The linseeds are plant produce, which is renewable in nature and the products (i.e., linseed biodiesel) are recycled in the environment. So practically zero CO 2 addition to the environment as compared to mineral fuels, leading to the mitigation of CO 2 . V C 2012 American Institute of Physics. [http://dx.

Effects of biodiesel from different feedstocks on engine performance and emissions: A review

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Sustainable development of road transportation sector using hydrogen energy system

“…The generated hydrogen can be used for power generation or process heating in the industry itself, making more viable and economical option. The integrated processes combine normally distinct technologies, using wastes from one process as feed for another to increase overall process efficiency [40,41]. For example, the municipal solid waste (MSW) gasification for generation of hydrogen [42], corn distillery waste water as source of organic carbon for bio-hydrogen production, etc.…”

Performance and emission parameters optimization of mahua (Madhuca indica) based biodiesel in direct injection diesel engine using response surface methodology

“…Research is now being focused to find the optimum combination of input variables in terms of performance and emission characteristics. Few Authors have reported the optimum values of responses in diesel engines, Bunce et al, 5 Ganapathy et al, 12 Jindal and Salvi, Maheshwari et al, Balajiganesh and Reddy, and Karuppasamy et al [14][15][16][17] There are various tools available for optimization of engine performance and emission parameters such as Response surface methodology (RSM) based on Central composite rotatable design (CCRD), Artificial neural network (ANN), Genetic algorithm (GA), fuzzy logic, etc. But till date no work has been reported for predicting optimum performance and emission parameters at particular input variables of mahua biodiesel.…”