Greenhouse crop residues: Energy potential and models for the prediction of their higher heating value
Almería, in southeastern Spain, generates some 1,086,261 t year -1 (fresh weight) of greenhouse crop (Cucurbita pepo L., Cucumis sativus L., Solanum melongena L., Solanum lycopersicum L., Phaseoulus vulgaris L., Capsicum annuum L., Citrillus vulgaris Schrad. and Cucumis melo L.) residues. The energy...
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| 格式: | info:eu-repo/semantics/article |
| 语言: | English |
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2023
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| 在线阅读: | http://hdl.handle.net/10835/14818 |
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| author | Callejón Ferre, Ángel Jesús Velázquez Martí, Borja Pérez Alonso, José Manzano Agugliaro, Francisco Rogelio |
| author_facet | Callejón Ferre, Ángel Jesús Velázquez Martí, Borja Pérez Alonso, José Manzano Agugliaro, Francisco Rogelio |
| author_sort | Callejón Ferre, Ángel Jesús |
| collection | DSpace |
| description | Almería, in southeastern Spain, generates some 1,086,261 t year -1 (fresh weight) of greenhouse crop (Cucurbita pepo L., Cucumis sativus L., Solanum melongena L., Solanum lycopersicum L., Phaseoulus vulgaris L., Capsicum annuum L., Citrillus vulgaris Schrad. and Cucumis melo L.) residues. The energy potential of this biomass is unclear. The aim of the present work was to accurately quantify this variable, differentiating between crop species while taking into consideration the area they each occupy. This, however, required the direct analysis of the higher heating value (HHV) of these residues, involving very expensive and therefore not commonly available equipment. Thus, a further aim was to develop models for predicting the HHV of these residues, taking into account variables measured by elemental and/or proximate analysis, thus providing an economically attractive alternative to direct analysis. All the analyses in this work involved the use of worldwide-recognised standards and methods. The total energy potential for these plant residues, as determined by direct analysis, was 1,003,497.49 MW h year-1. Twenty univariate and multivariate equations were developed to predict the HHV. The R2 and adjusted R2 values obtained for the univariate and multivariate models were 0.909 and 0.946 or above respectively. In all cases, the mean absolute percentage error varied between 0.344 and 2.533. These results show that any of these 20 equations could be used to accurately predict the HHV of crop residues. The residues produced by the Almería greenhouse industry would appear to be an interesting source of renewable energy |
| format | info:eu-repo/semantics/article |
| id | oai:repositorio.ual.es:10835-14818 |
| institution | Universidad de Cuenca |
| language | English |
| publishDate | 2023 |
| record_format | dspace |
| spelling | oai:repositorio.ual.es:10835-148182023-12-15T12:45:35Z Greenhouse crop residues: Energy potential and models for the prediction of their higher heating value Callejón Ferre, Ángel Jesús Velázquez Martí, Borja Pérez Alonso, José Manzano Agugliaro, Francisco Rogelio Plant remains Proximate analyses Renewable energy Almería, in southeastern Spain, generates some 1,086,261 t year -1 (fresh weight) of greenhouse crop (Cucurbita pepo L., Cucumis sativus L., Solanum melongena L., Solanum lycopersicum L., Phaseoulus vulgaris L., Capsicum annuum L., Citrillus vulgaris Schrad. and Cucumis melo L.) residues. The energy potential of this biomass is unclear. The aim of the present work was to accurately quantify this variable, differentiating between crop species while taking into consideration the area they each occupy. This, however, required the direct analysis of the higher heating value (HHV) of these residues, involving very expensive and therefore not commonly available equipment. Thus, a further aim was to develop models for predicting the HHV of these residues, taking into account variables measured by elemental and/or proximate analysis, thus providing an economically attractive alternative to direct analysis. All the analyses in this work involved the use of worldwide-recognised standards and methods. The total energy potential for these plant residues, as determined by direct analysis, was 1,003,497.49 MW h year-1. Twenty univariate and multivariate equations were developed to predict the HHV. The R2 and adjusted R2 values obtained for the univariate and multivariate models were 0.909 and 0.946 or above respectively. In all cases, the mean absolute percentage error varied between 0.344 and 2.533. These results show that any of these 20 equations could be used to accurately predict the HHV of crop residues. The residues produced by the Almería greenhouse industry would appear to be an interesting source of renewable energy 2023-12-15T12:45:35Z 2023-12-15T12:45:35Z 2010-12-07 info:eu-repo/semantics/article 13640321 http://hdl.handle.net/10835/14818 en https://doi.org/10.1016/j.rser.2010.11.012 Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess |
| spellingShingle | Plant remains Proximate analyses Renewable energy Callejón Ferre, Ángel Jesús Velázquez Martí, Borja Pérez Alonso, José Manzano Agugliaro, Francisco Rogelio Greenhouse crop residues: Energy potential and models for the prediction of their higher heating value |
| title | Greenhouse crop residues: Energy potential and models for the prediction of their higher heating value |
| title_full | Greenhouse crop residues: Energy potential and models for the prediction of their higher heating value |
| title_fullStr | Greenhouse crop residues: Energy potential and models for the prediction of their higher heating value |
| title_full_unstemmed | Greenhouse crop residues: Energy potential and models for the prediction of their higher heating value |
| title_short | Greenhouse crop residues: Energy potential and models for the prediction of their higher heating value |
| title_sort | greenhouse crop residues: energy potential and models for the prediction of their higher heating value |
| topic | Plant remains Proximate analyses Renewable energy |
| url | http://hdl.handle.net/10835/14818 |
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