A novel biomass gasification micro-cogeneration plant: Experimental and numerical analysis
•A numerical model is developed to predict the behaviour of a real micro-cogeneration system.•The model includes a downdraft gasifier coupled with an internal combustion engine.•The model takes into account gasification, cleaning, combustion and heat recovery.•The numerical model has been validated...
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| Vydáno v: | Energy conversion and management Ročník 243; s. 114349 |
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| Hlavní autoři: | , , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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Oxford
Elsevier Ltd
01.09.2021
Elsevier Science Ltd |
| Témata: | |
| ISSN: | 0196-8904, 1879-2227 |
| On-line přístup: | Získat plný text |
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| Abstract | •A numerical model is developed to predict the behaviour of a real micro-cogeneration system.•The model includes a downdraft gasifier coupled with an internal combustion engine.•The model takes into account gasification, cleaning, combustion and heat recovery.•The numerical model has been validated with the experimental data acquired on site.•The experimental data have been associated to their measurement uncertainties.
This work presents a numerical model developed to predict the behaviour of a real micro-cogeneration biomass gasification system, based on a fixed-bed downdraft gasifier, coupled with a spark-ignition internal combustion engine. The model developed by the authors takes into account all the thermo-physical processes occurring in the whole system: gasification, cleaning, combustion and heat recovery. The numerical model is based on the Gibbs free energy minimization, applying the restricted equilibrium method. The model has been validated with the experimental data collected during an extensive experimental campaign, and a good agreement between measured data and predicted results is obtained. The present validated model has proved to be a useful tool for analyzing the performance of real micro-CHP plants. The global electrical and thermal efficiencies predicted by the model are 19.9% and 17.8%, while the measured values are 19.5% and 21.7%, respectively. Some parametric analyses have been carried out in order to assess the performance of the system as a function of the main gasifier and engine parameters, and to predict the behaviour of the system. |
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| AbstractList | This work presents a numerical model developed to predict the behaviour of a real micro-cogeneration biomass gasification system, based on a fixed-bed downdraft gasifier, coupled with a spark-ignition internal combustion engine. The model developed by the authors takes into account all the thermo-physical processes occurring in the whole system: gasification, cleaning, combustion and heat recovery. The numerical model is based on the Gibbs free energy minimization, applying the restricted equilibrium method. The model has been validated with the experimental data collected during an extensive experimental campaign, and a good agreement between measured data and predicted results is obtained. The present validated model has proved to be a useful tool for analyzing the performance of real micro-CHP plants. The global electrical and thermal efficiencies predicted by the model are 19.9% and 17.8%, while the measured values are 19.5% and 21.7%, respectively. Some parametric analyses have been carried out in order to assess the performance of the system as a function of the main gasifier and engine parameters, and to predict the behaviour of the system. •A numerical model is developed to predict the behaviour of a real micro-cogeneration system.•The model includes a downdraft gasifier coupled with an internal combustion engine.•The model takes into account gasification, cleaning, combustion and heat recovery.•The numerical model has been validated with the experimental data acquired on site.•The experimental data have been associated to their measurement uncertainties. This work presents a numerical model developed to predict the behaviour of a real micro-cogeneration biomass gasification system, based on a fixed-bed downdraft gasifier, coupled with a spark-ignition internal combustion engine. The model developed by the authors takes into account all the thermo-physical processes occurring in the whole system: gasification, cleaning, combustion and heat recovery. The numerical model is based on the Gibbs free energy minimization, applying the restricted equilibrium method. The model has been validated with the experimental data collected during an extensive experimental campaign, and a good agreement between measured data and predicted results is obtained. The present validated model has proved to be a useful tool for analyzing the performance of real micro-CHP plants. The global electrical and thermal efficiencies predicted by the model are 19.9% and 17.8%, while the measured values are 19.5% and 21.7%, respectively. Some parametric analyses have been carried out in order to assess the performance of the system as a function of the main gasifier and engine parameters, and to predict the behaviour of the system. |
| ArticleNumber | 114349 |
| Author | Macaluso, A. Vanoli, L. Cirillo, D. Di Palma, M. La Villetta, M. Mauro, A. |
| Author_xml | – sequence: 1 givenname: D. surname: Cirillo fullname: Cirillo, D. email: domenico.cirillo@cmdengine.com organization: CMD S.p.A., Research & Development Department, Via Pacinotti, 2, 81020 S. Nicola La Strada, Caserta, Italy – sequence: 2 givenname: M. surname: Di Palma fullname: Di Palma, M. email: maria.dipalma@uniparthenope.it organization: Department of Engineering, University of Naples “Parthenope”, Centro Direzionale, Isola C4, 80143 Naples, Italy – sequence: 3 givenname: M. surname: La Villetta fullname: La Villetta, M. email: maurizio.lavilletta@cmdengine.com organization: CMD S.p.A., Research & Development Department, Via Pacinotti, 2, 81020 S. Nicola La Strada, Caserta, Italy – sequence: 4 givenname: A. surname: Macaluso fullname: Macaluso, A. email: adriano.macaluso@uniparthenope.it organization: Department of Engineering, University of Naples “Parthenope”, Centro Direzionale, Isola C4, 80143 Naples, Italy – sequence: 5 givenname: A. surname: Mauro fullname: Mauro, A. email: alessandro.mauro@uniparthenope.it organization: Department of Engineering, University of Naples “Parthenope”, Centro Direzionale, Isola C4, 80143 Naples, Italy – sequence: 6 givenname: L. surname: Vanoli fullname: Vanoli, L. email: laura.vanoli@uniparthenope.it organization: Department of Engineering, University of Naples “Parthenope”, Centro Direzionale, Isola C4, 80143 Naples, Italy |
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PARTB 10.1016/j.enconman.2021.114349_b0220 10.1016/j.enconman.2021.114349_b0020 10.1016/j.enconman.2021.114349_b0265 Di Blasi (10.1016/j.enconman.2021.114349_b0055) 1999; 38 Tavares (10.1016/j.enconman.2021.114349_b0210) 2020; 146 Zainal (10.1016/j.enconman.2021.114349_b0095) 2001; 42 Villarini (10.1016/j.enconman.2021.114349_b0260) 2019; 12 Gumz (10.1016/j.enconman.2021.114349_b0295) 1950 Zainal (10.1016/j.enconman.2021.114349_b0060) 2002; 23 Hanaoka (10.1016/j.enconman.2021.114349_b0075) 2005; 28 Sharma (10.1016/j.enconman.2021.114349_b0150) 2011; 52 10.1016/j.enconman.2021.114349_b0225 Li (10.1016/j.enconman.2021.114349_b0180) 2018; 40 Simone (10.1016/j.enconman.2021.114349_b0155) 2013; 133 Emun (10.1016/j.enconman.2021.114349_b0275) 2010; 34 10.1016/j.enconman.2021.114349_b0310 Formica (10.1016/j.enconman.2021.114349_b0270) 2016; 120 Madzivhandila (10.1016/j.enconman.2021.114349_b0280) 2009; 18 Silva (10.1016/j.enconman.2021.114349_b0120) 2013; 109 Puig-Arnavat (10.1016/j.enconman.2021.114349_b0175) 2013; 49 Sheth (10.1016/j.enconman.2021.114349_b0080) 2009; 100 Passey (10.1016/j.enconman.2021.114349_b0010) 2011; 39 Gai (10.1016/j.enconman.2021.114349_b0050) 2012; 37 Ruiz (10.1016/j.enconman.2021.114349_b0045) 2013; 18 Janajreh (10.1016/j.enconman.2021.114349_b0170) 2013; 65 Hernández (10.1016/j.enconman.2021.114349_b0035) 2010; 91 Jayah (10.1016/j.enconman.2021.114349_b0070) 2003; 25 Ahrenfeldt (10.1016/j.enconman.2021.114349_b0230) 2013; 50 Xiong (10.1016/j.enconman.2021.114349_b0030) 2013; 99 Jakobs (10.1016/j.enconman.2021.114349_b0165) 2012; 93 10.1016/j.enconman.2021.114349_b0240 Vaezi (10.1016/j.enconman.2021.114349_b0110) 2009; 8 Baratieri (10.1016/j.enconman.2021.114349_b0245) 2009; 29 10.1016/j.enconman.2021.114349_b0320 Barman (10.1016/j.enconman.2021.114349_b0115) 2012; 107 Arpino (10.1016/j.enconman.2021.114349_b0315) 2011; 36 Xiao (10.1016/j.enconman.2021.114349_b0185) 2009; 29 Dhyani (10.1016/j.enconman.2021.114349_b0025) 2018; 129 Dogru (10.1016/j.enconman.2021.114349_b0065) 2002; 27 Channiwala (10.1016/j.enconman.2021.114349_b0305) 2002; 81 Sharma (10.1016/j.enconman.2021.114349_b0085) 2009; 34 Blasi (10.1016/j.enconman.2021.114349_b0130) 2000; 55 Gu (10.1016/j.enconman.2021.114349_b0205) 2019; 92 10.1016/j.enconman.2021.114349_b0005 Gordillo (10.1016/j.enconman.2021.114349_b0140) 2011; 35 Ramzan (10.1016/j.enconman.2021.114349_b0195) 2011; 35 Chopra (10.1016/j.enconman.2021.114349_b0040) 2007 Gao (10.1016/j.enconman.2021.114349_b0160) 2016; 108 Mansaray (10.1016/j.enconman.2021.114349_b0190) 2000; 22 10.1016/j.enconman.2021.114349_b0250 Demirbas (10.1016/j.enconman.2021.114349_b0015) 2008; 49 de Andrés (10.1016/j.enconman.2021.114349_b0300) 2019; 69 10.1016/j.enconman.2021.114349_b0255 Jarungthammachote (10.1016/j.enconman.2021.114349_b0100) 2007; 32 10.1016/j.enconman.2021.114349_b0290 Lan (10.1016/j.enconman.2021.114349_b0285) 2018; 628–629 Tinaut (10.1016/j.enconman.2021.114349_b0145) 2008; 89 Giltrap (10.1016/j.enconman.2021.114349_b0135) 2003; 74 Mertzis (10.1016/j.enconman.2021.114349_b0235) 2014; 64 Martínez (10.1016/j.enconman.2021.114349_b0090) 2011; 35 10.1016/j.enconman.2021.114349_b0215 Sharma (10.1016/j.enconman.2021.114349_b0105) 2008; 49 Costa (10.1016/j.enconman.2021.114349_b0125) 2015; 43 |
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| Snippet | •A numerical model is developed to predict the behaviour of a real micro-cogeneration system.•The model includes a downdraft gasifier coupled with an internal... This work presents a numerical model developed to predict the behaviour of a real micro-cogeneration biomass gasification system, based on a fixed-bed... |
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| SubjectTerms | administrative management biogasification Biomass Cogeneration Combined heat and power Combustion Downdraft energy conversion Experimental Free energy Gasification Gibbs free energy Heat recovery Internal combustion engines Mathematical models model validation Numerical analysis Numerical model Numerical models Performance assessment Power plants Spark ignition Validation |
| Title | A novel biomass gasification micro-cogeneration plant: Experimental and numerical analysis |
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