Assessing the Cost of Biomass and Bioenergy Production in Agroindustrial Processes

This paper presents bioenergy value chain modelling to estimate the biomass and bioenergy cost of production and biomass netback in combined heat and power (CHP) systems. Modelling compares biomass cost and netback to analyse the feasibility of CHP systems, as well as the internal rate of return (IR...

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Main Authors: Elias Martinez-Hernandez, Myriam A. Amezcua-Allieri, Jorge Aburto
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/14/14/4181
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spelling doaj-d74aff249ec943a9a5156f846f880a102021-07-23T13:38:49ZengMDPI AGEnergies1996-10732021-07-01144181418110.3390/en14144181Assessing the Cost of Biomass and Bioenergy Production in Agroindustrial ProcessesElias Martinez-Hernandez0Myriam A. Amezcua-Allieri1Jorge Aburto2Biomass Conversion Division, Mexican Institute of Petroleum, Mexico City 07730, MexicoBiomass Conversion Division, Mexican Institute of Petroleum, Mexico City 07730, MexicoBiomass Conversion Division, Mexican Institute of Petroleum, Mexico City 07730, MexicoThis paper presents bioenergy value chain modelling to estimate the biomass and bioenergy cost of production and biomass netback in combined heat and power (CHP) systems. Modelling compares biomass cost and netback to analyse the feasibility of CHP systems, as well as the internal rate of return (IRR) and payback period (PBP). Models are implemented into the IMP Bio2Energy<sup>®</sup> software (Instituto Mexicano del Petróleo, Mexico City, Mexico) for practical application and demonstrated for bioenergy generation in the agroindustrial processes of tequila production, coffee and orange processing using as biomass the agave bagasse, coffee pulp and orange peels coproducts, respectively. Results show that the CHP systems are economically feasible, i.e., biomass cost of production is lower than netback, PBP between 3 and 4 years and IRR > 20%. The cost of bioenergy is lower than the cost of fuel oil and grid electricity being replaced. The sensitivity analysis for boiler steam pressure showed that there is an optimal pressure for coffee pulp (40 bar), a threshold pressure for orange (60 bar) and agave bagasse (70 bar). Sensitivity to biomass input indicated a maximum capacity where economy of scale does not produce any improvement in the indicators. Results demonstrate the usefulness of the modelling approach and IMP Bio2Energy<sup>®</sup> in analysing biomass CHP systems.https://www.mdpi.com/1996-1073/14/14/4181biomass CHPbiomass costbioenergy costbiomass netbackagave bagassecoffee pulp
collection DOAJ
language English
format Article
sources DOAJ
author Elias Martinez-Hernandez
Myriam A. Amezcua-Allieri
Jorge Aburto
spellingShingle Elias Martinez-Hernandez
Myriam A. Amezcua-Allieri
Jorge Aburto
Assessing the Cost of Biomass and Bioenergy Production in Agroindustrial Processes
Energies
biomass CHP
biomass cost
bioenergy cost
biomass netback
agave bagasse
coffee pulp
author_facet Elias Martinez-Hernandez
Myriam A. Amezcua-Allieri
Jorge Aburto
author_sort Elias Martinez-Hernandez
title Assessing the Cost of Biomass and Bioenergy Production in Agroindustrial Processes
title_short Assessing the Cost of Biomass and Bioenergy Production in Agroindustrial Processes
title_full Assessing the Cost of Biomass and Bioenergy Production in Agroindustrial Processes
title_fullStr Assessing the Cost of Biomass and Bioenergy Production in Agroindustrial Processes
title_full_unstemmed Assessing the Cost of Biomass and Bioenergy Production in Agroindustrial Processes
title_sort assessing the cost of biomass and bioenergy production in agroindustrial processes
publisher MDPI AG
series Energies
issn 1996-1073
publishDate 2021-07-01
description This paper presents bioenergy value chain modelling to estimate the biomass and bioenergy cost of production and biomass netback in combined heat and power (CHP) systems. Modelling compares biomass cost and netback to analyse the feasibility of CHP systems, as well as the internal rate of return (IRR) and payback period (PBP). Models are implemented into the IMP Bio2Energy<sup>®</sup> software (Instituto Mexicano del Petróleo, Mexico City, Mexico) for practical application and demonstrated for bioenergy generation in the agroindustrial processes of tequila production, coffee and orange processing using as biomass the agave bagasse, coffee pulp and orange peels coproducts, respectively. Results show that the CHP systems are economically feasible, i.e., biomass cost of production is lower than netback, PBP between 3 and 4 years and IRR > 20%. The cost of bioenergy is lower than the cost of fuel oil and grid electricity being replaced. The sensitivity analysis for boiler steam pressure showed that there is an optimal pressure for coffee pulp (40 bar), a threshold pressure for orange (60 bar) and agave bagasse (70 bar). Sensitivity to biomass input indicated a maximum capacity where economy of scale does not produce any improvement in the indicators. Results demonstrate the usefulness of the modelling approach and IMP Bio2Energy<sup>®</sup> in analysing biomass CHP systems.
topic biomass CHP
biomass cost
bioenergy cost
biomass netback
agave bagasse
coffee pulp
url https://www.mdpi.com/1996-1073/14/14/4181
work_keys_str_mv AT eliasmartinezhernandez assessingthecostofbiomassandbioenergyproductioninagroindustrialprocesses
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