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Technical and Economical Feasibility of Biomass Use for Power Generation in Sicily

Technical and Economical Feasibility of Biomass Use for Power Generation in Sicily

Antonio Messineo, Domenico Panno, Roberto Volpe
Copyright: © 2012 |Volume: 3 |Issue: 1 |Pages: 11
ISSN: 1947-3192|EISSN: 1947-3206|EISBN13: 9781466610651|DOI: 10.4018/jaeis.2012010104
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MLA

Messineo, Antonio, et al. "Technical and Economical Feasibility of Biomass Use for Power Generation in Sicily." IJAEIS vol.3, no.1 2012: pp.40-50. http://doi.org/10.4018/jaeis.2012010104

APA

Messineo, A., Panno, D., & Volpe, R. (2012). Technical and Economical Feasibility of Biomass Use for Power Generation in Sicily. International Journal of Agricultural and Environmental Information Systems (IJAEIS), 3(1), 40-50. http://doi.org/10.4018/jaeis.2012010104

Chicago

Messineo, Antonio, Domenico Panno, and Roberto Volpe. "Technical and Economical Feasibility of Biomass Use for Power Generation in Sicily," International Journal of Agricultural and Environmental Information Systems (IJAEIS) 3, no.1: 40-50. http://doi.org/10.4018/jaeis.2012010104

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Abstract

Biomass can provide a reliable support for production of biofuels while contributing to sustainable management of natural resources. Many countries, including Italy, have introduced important incentive schemes to support the use of biomass for electricity, heat and transportation. This has raised considerable interest towards the use of biomass for energy generation purposes. Nonetheless, the design and installation of biomass-fuelled power plants present several critical issues, such as choice and availability of biomass, choice of technology, power plant localization and logistics. The case study tackled in this paper evaluates the economies originated by a 1MWel Organic Rankine Cycle (ORC) turbine coupled with a biomass fuelled boiler, installed in an area close to Palermo (Italy). A Geographical Information System (GIS) was used to localize the power plant and to optimize logistics. The thermodynamics of the plant as a whole were also analyzed. Finally, two different scenarios were simulated for project financial evaluation.

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