Sensitivity Analysis of Different Parameters on the Performance of a CHP Internal Combustion Engine System Fed by a Biomass Waste Gasifier

Mauro Villarini, Vera Marcantonio, Andrea Colantoni and Enrico Bocci
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Mauro Villarini: Department of Agricultural and Forestry Sciences (DAFNE), Tuscia University, Via San Camillo de Lellis, 01100 Viterbo, Italy
Vera Marcantonio: Department of Agricultural and Forestry Sciences (DAFNE), Tuscia University, Via San Camillo de Lellis, 01100 Viterbo, Italy
Andrea Colantoni: Department of Agricultural and Forestry Sciences (DAFNE), Tuscia University, Via San Camillo de Lellis, 01100 Viterbo, Italy
Enrico Bocci: Department of Nuclear, Subnuclear and Radiation Physics, Marconi University, 00193 Rome, Italy

Energies, 2019, vol. 12, issue 4, 1-21

Abstract: The present paper presents a study of biomass waste to energy conversion using gasification and internal combustion engine for power generation. The biomass waste analyzed is the most produced on Italian soil, chosen for suitable properties in the gasification process. Good quality syngas with up to 16.1% CO–4.3% CH 4 –23.1% H 2 can be produced. The syngas lower heating value may vary from 1.86 MJ/ Nm 3 to 4.5 MJ/Nm 3 in the gasification with air and from 5.2 MJ/ Nm 3 to 7.5 MJ/Nm 3 in the gasification with steam. The cold gas efficiency may vary from 16% to 41% in the gasification with air and from 37% to 60% in the gasification with steam, depending on the different biomass waste utilized in the process and the different operating conditions. Based on the sensitivity studies carried out in the paper and paying attention to the cold gas efficiency and to the LHV, we have selected the best configuration process for the best syngas composition to feed the internal combustion engine. The influence of syngas fuel properties on the engine is studied through the electrical efficiency and the cogeneration efficiency.

Keywords: biomass waste; gasification; power generation; internal combustion engine; CHP; Aspen Plus (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (18)

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