Solar Drying of Greenhouse Crop Residues for Energy Valorization: Modeling and Determination of Optimal Conditions

Large amounts of crop residue are produced annually in areas such as Almeria (Spain). These residues have elevated moisture and ash contents, and are also very heterogeneous, which hinders their reutilization. With the aim of facilitating biomass utilization in energy recovery-related processes, a m...

ver descrição completa

Detalhes bibliográficos
Main Authors: Pinna Hernández, María Guadalupe, Acién Fernández, Francisco Gabriel, López Segura, José Gabriel, Casas López, José Luis
Formato: info:eu-repo/semantics/article
Idioma:English
Publicado em: MDPI 2021
Assuntos:
Acesso em linha:http://hdl.handle.net/10835/9282
_version_ 1789406693364334592
author Pinna Hernández, María Guadalupe
Acién Fernández, Francisco Gabriel
López Segura, José Gabriel
Casas López, José Luis
author_facet Pinna Hernández, María Guadalupe
Acién Fernández, Francisco Gabriel
López Segura, José Gabriel
Casas López, José Luis
author_sort Pinna Hernández, María Guadalupe
collection DSpace
description Large amounts of crop residue are produced annually in areas such as Almeria (Spain). These residues have elevated moisture and ash contents, and are also very heterogeneous, which hinders their reutilization. With the aim of facilitating biomass utilization in energy recovery-related processes, a model for solar drying was developed. Experiments were performed inside a greenhouse with tomato and pepper residues, following two strategies (hung or stacked residues). The influence of temperature and relative humidity on the residues’ equilibrium moisture was also studied. The results were that a model allowed for determination of the equilibrium moisture as a function of ambient conditions (temperature and relative humidity), with the model’s characteristic parameters being different for each crop residue. Regarding the drying process, the results conform to first-order kinetics, with the values of the kinetic constants varying as a function of the crop residues and their arrangement. The variation in equilibrium moisture as a function of the annual variation in ambient conditions (temperature and relative humidity) in Almería means that it would only be possible to dry crop residues inside greenhouse below a moisture level of 0.43 kgwater/kgdrysolids (30% water content) from April to November.
format info:eu-repo/semantics/article
id oai:repositorio.ual.es:10835-9282
institution Universidad de Cuenca
language English
publishDate 2021
publisher MDPI
record_format dspace
spelling oai:repositorio.ual.es:10835-92822023-04-12T19:35:40Z Solar Drying of Greenhouse Crop Residues for Energy Valorization: Modeling and Determination of Optimal Conditions Pinna Hernández, María Guadalupe Acién Fernández, Francisco Gabriel López Segura, José Gabriel Casas López, José Luis solar drying kinetics greenhouse crop residue energy recovery pre-treatment natural drying energy sustainability Large amounts of crop residue are produced annually in areas such as Almeria (Spain). These residues have elevated moisture and ash contents, and are also very heterogeneous, which hinders their reutilization. With the aim of facilitating biomass utilization in energy recovery-related processes, a model for solar drying was developed. Experiments were performed inside a greenhouse with tomato and pepper residues, following two strategies (hung or stacked residues). The influence of temperature and relative humidity on the residues’ equilibrium moisture was also studied. The results were that a model allowed for determination of the equilibrium moisture as a function of ambient conditions (temperature and relative humidity), with the model’s characteristic parameters being different for each crop residue. Regarding the drying process, the results conform to first-order kinetics, with the values of the kinetic constants varying as a function of the crop residues and their arrangement. The variation in equilibrium moisture as a function of the annual variation in ambient conditions (temperature and relative humidity) in Almería means that it would only be possible to dry crop residues inside greenhouse below a moisture level of 0.43 kgwater/kgdrysolids (30% water content) from April to November. 2021-01-11T11:39:50Z 2021-01-11T11:39:50Z 2020-12-19 info:eu-repo/semantics/article 2073-4395 http://hdl.handle.net/10835/9282 en https://www.mdpi.com/2073-4395/10/12/2001 Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess MDPI
spellingShingle solar drying kinetics
greenhouse crop residue
energy recovery
pre-treatment
natural drying
energy sustainability
Pinna Hernández, María Guadalupe
Acién Fernández, Francisco Gabriel
López Segura, José Gabriel
Casas López, José Luis
Solar Drying of Greenhouse Crop Residues for Energy Valorization: Modeling and Determination of Optimal Conditions
title Solar Drying of Greenhouse Crop Residues for Energy Valorization: Modeling and Determination of Optimal Conditions
title_full Solar Drying of Greenhouse Crop Residues for Energy Valorization: Modeling and Determination of Optimal Conditions
title_fullStr Solar Drying of Greenhouse Crop Residues for Energy Valorization: Modeling and Determination of Optimal Conditions
title_full_unstemmed Solar Drying of Greenhouse Crop Residues for Energy Valorization: Modeling and Determination of Optimal Conditions
title_short Solar Drying of Greenhouse Crop Residues for Energy Valorization: Modeling and Determination of Optimal Conditions
title_sort solar drying of greenhouse crop residues for energy valorization: modeling and determination of optimal conditions
topic solar drying kinetics
greenhouse crop residue
energy recovery
pre-treatment
natural drying
energy sustainability
url http://hdl.handle.net/10835/9282
work_keys_str_mv AT pinnahernandezmariaguadalupe solardryingofgreenhousecropresiduesforenergyvalorizationmodelinganddeterminationofoptimalconditions
AT acienfernandezfranciscogabriel solardryingofgreenhousecropresiduesforenergyvalorizationmodelinganddeterminationofoptimalconditions
AT lopezsegurajosegabriel solardryingofgreenhousecropresiduesforenergyvalorizationmodelinganddeterminationofoptimalconditions
AT casaslopezjoseluis solardryingofgreenhousecropresiduesforenergyvalorizationmodelinganddeterminationofoptimalconditions