Investigation of Pyrolysis Parameters on the Yield and Quality of Bio-Oil from Jatropha curcas Wastes
Jatropha curcas pressed cake leftover after oil extraction for biodiesel production is considered as waste. Following physicochemical characterisation tests, this biomass waste was pyrolysed over a temperature range of 573.15–1073.15 K and a nitrogen linear speed range of 7.8 × 10−5–6.7 × 10−2 m/s to produce bio-oil. The heating rate and biomass grain size were fixed to constants of 50 K/min and <2 mm, respectively. The bio-oil products after yield measurements were tested for three major specifications, i.e. gross calorific value, water content and acidity, based on ASTM procedures for standard specification of pyrolysis liquid biofuels. In addition, empirical correlations between the bio-oil yield and pyrolysis parameters have been introduced for the experiments using nonlinear multiple regression method.
KeywordsEmpirical Correlation Karl Fischer Titrator Gross Calorific Value ASTM D240 Pyrolysis Parameter
This work was supported by the Ministry of Agriculture, Malaysia, under the Science Fund 05-02-12-SF1004. The Faculty of Engineering at the University of Nottingham, Malaysia Campus, is also acknowledged for its support towards this project. The authors would also like to thank the Bionas Group (Malaysia) for providing the Jatropha curcas waste.
- American Society for Testing and Materials. (2009). Standard specification for pyrolysis liquid biofuel. ASTM D7544–10.Google Scholar
- Balat, M., & Demirbas, M. F. (2009). Bio-oil from pyrolysis of black alder wood. Energy Sources, 31 Part A, 1719–1727.Google Scholar
- Malaysian Meteorology Department. (2012). Meteorology Metadata station page. [http://ww.met.gov.my]. [Accessed 04 July 2012].
- Sluiter, A., Hamas, B., Hyman, D., Payne, C., Ruiz, R., Scarlata, C., Sluiter, J., Templeton, D., Wolfe, J. (2008). Determination of total solids in biomass and total dissolved solids in liquid process samples. National Renewable Energy Laboratory, NREL/TP-510-42621.Google Scholar
- Spiegel, M. R., & Stephens, L. J. (1999). Multiple and partial correlation. Statistics (3rd edn). New York: Schum’s outlines, Mc Graw-Hill publishing.Google Scholar