Model for Energy Analysis of Miscanthus Production and Transportation

A computational tool is developed for the estimation of the energy requirements of Miscanthus x giganteus on individual fields that includes a detailed analysis and account of the involved in-field and transport operations. The tool takes into account all the individual involved in-field and transpo...

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Main Authors: Alessandro Sopegno, Efthymios Rodias, Dionysis Bochtis, Patrizia Busato, Remigio Berruto, Valter Boero, Claus Sørensen
Format: Article
Language:English
Published: MDPI AG 2016-05-01
Series:Energies
Subjects:
Online Access:http://www.mdpi.com/1996-1073/9/6/392
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author Alessandro Sopegno
Efthymios Rodias
Dionysis Bochtis
Patrizia Busato
Remigio Berruto
Valter Boero
Claus Sørensen
author_facet Alessandro Sopegno
Efthymios Rodias
Dionysis Bochtis
Patrizia Busato
Remigio Berruto
Valter Boero
Claus Sørensen
author_sort Alessandro Sopegno
collection DOAJ
description A computational tool is developed for the estimation of the energy requirements of Miscanthus x giganteus on individual fields that includes a detailed analysis and account of the involved in-field and transport operations. The tool takes into account all the individual involved in-field and transport operations and provides a detailed analysis on the energy requirements of the components that contribute to the energy input. A basic scenario was implemented to demonstrate the capabilities of the tool. Specifically, the variability of the energy requirements as a function of field area and field-storage distance changes was shown. The field-storage distance highly affects the energy requirements resulting in a variation in the efficiency if energy (output/input ratio) from 15.8 up to 23.7 for the targeted cases. Not only the field-distance highly affects the energy requirements but also the biomass transportation system. Based on the presented example, different transportation systems adhering to the same configuration of the production system creates variation in the efficiency of energy (EoE) between 12.9 and 17.5. The presented tool provides individualized results that can be used for the processes of designing or evaluating a specific production system since the outcomes are not based on average norms.
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spelling doaj.art-2a96ff8c482a456c871d7b2afe04c35c2022-12-22T03:19:06ZengMDPI AGEnergies1996-10732016-05-019639210.3390/en9060392en9060392Model for Energy Analysis of Miscanthus Production and TransportationAlessandro Sopegno0Efthymios Rodias1Dionysis Bochtis2Patrizia Busato3Remigio Berruto4Valter Boero5Claus Sørensen6Department of Agriculture, Forestry and Food Science (DISAFA), University of Turin, Largo Braccini 2, Grugliasco 10095, ItalyDepartment of Engineering, Faculty of Science and Technology, Aarhus University, Inge Lehmanss Gade 10, Aarhus 8000, DenmarkDepartment of Engineering, Faculty of Science and Technology, Aarhus University, Inge Lehmanss Gade 10, Aarhus 8000, DenmarkDepartment of Agriculture, Forestry and Food Science (DISAFA), University of Turin, Largo Braccini 2, Grugliasco 10095, ItalyDepartment of Agriculture, Forestry and Food Science (DISAFA), University of Turin, Largo Braccini 2, Grugliasco 10095, ItalyDepartment of Agriculture, Forestry and Food Science (DISAFA), University of Turin, Largo Braccini 2, Grugliasco 10095, ItalyDepartment of Engineering, Faculty of Science and Technology, Aarhus University, Inge Lehmanss Gade 10, Aarhus 8000, DenmarkA computational tool is developed for the estimation of the energy requirements of Miscanthus x giganteus on individual fields that includes a detailed analysis and account of the involved in-field and transport operations. The tool takes into account all the individual involved in-field and transport operations and provides a detailed analysis on the energy requirements of the components that contribute to the energy input. A basic scenario was implemented to demonstrate the capabilities of the tool. Specifically, the variability of the energy requirements as a function of field area and field-storage distance changes was shown. The field-storage distance highly affects the energy requirements resulting in a variation in the efficiency if energy (output/input ratio) from 15.8 up to 23.7 for the targeted cases. Not only the field-distance highly affects the energy requirements but also the biomass transportation system. Based on the presented example, different transportation systems adhering to the same configuration of the production system creates variation in the efficiency of energy (EoE) between 12.9 and 17.5. The presented tool provides individualized results that can be used for the processes of designing or evaluating a specific production system since the outcomes are not based on average norms.http://www.mdpi.com/1996-1073/9/6/392biomassoperations analysisbiomass logistics
spellingShingle Alessandro Sopegno
Efthymios Rodias
Dionysis Bochtis
Patrizia Busato
Remigio Berruto
Valter Boero
Claus Sørensen
Model for Energy Analysis of Miscanthus Production and Transportation
Energies
biomass
operations analysis
biomass logistics
title Model for Energy Analysis of Miscanthus Production and Transportation
title_full Model for Energy Analysis of Miscanthus Production and Transportation
title_fullStr Model for Energy Analysis of Miscanthus Production and Transportation
title_full_unstemmed Model for Energy Analysis of Miscanthus Production and Transportation
title_short Model for Energy Analysis of Miscanthus Production and Transportation
title_sort model for energy analysis of miscanthus production and transportation
topic biomass
operations analysis
biomass logistics
url http://www.mdpi.com/1996-1073/9/6/392
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AT patriziabusato modelforenergyanalysisofmiscanthusproductionandtransportation
AT remigioberruto modelforenergyanalysisofmiscanthusproductionandtransportation
AT valterboero modelforenergyanalysisofmiscanthusproductionandtransportation
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