Insects for biodiesel production

Manzano‐Agugliaro, Francisco; Sánchez‐Muros, María José; Barroso, Fernando G.; Martínez-Sánchez, Anabel; Rojo, Santos; Pérez‐Bañón, Celeste

doi:10.1016/j.rser.2012.03.017

Cited by 131 publications

(67 citation statements)

References 55 publications

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“…Fossil fuels are expected to remain the main energy source in the world, but in the meantime renewable energy sources (wind, solar, geothermal, bioenergy) are the world's fastest-growing energy sources, increasing by 2.5 percent per year 2 . However, the reserves of fossil fuels are limited, and their large-scale use is associated with environmental deterioration 3,4 . The negative effects of using fossil fuels include acid rain, ozone layer depletion, and global climate change 5 .…”

Section: Introductionmentioning

confidence: 99%

Esterification of High Free Fatty Acid Rice Bran Oil: Parametric and Kinetic Study

Arora

Toor

Wanchoo

2016

Chem. Biochem. Eng. Q.

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Section: Introductionmentioning

confidence: 99%

Esterification of High Free Fatty Acid Rice Bran Oil: Parametric and Kinetic Study

Arora

Toor

Wanchoo

2016

Chem. Biochem. Eng. Q.

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“…A seletividade por itens alimentares mais energéticos na fase de pré-oviposição e cuidado parental é uma estratégia esperada [4,19,25]. Insetos e alimentos industrializados se constituem de uma rica fonte de lipídios, ácidos graxos, carboidratos e proteínas [37], e aparentemente, as aves são hábeis em diferenciar a composição nutricional, escolhendo os itens que suprem com maior eficiência suas necessidades como constatado para Tangara episcopus (Linnaeus 1766) [38] e em aves migratórias [39].…”

Section: Discussionunclassified

“…No caso de F. rufus e T. rufiventris os insetos podem oferecer altos teores de proteínas, equivalendo à contribuição da proteína animal para os seres humanos [37], enquanto que carboidratos, além das frutas, podem ser obtidos em grandes quantidades de restos de alimentos consumidos pelos humanos. Sendo assim, provavelmente o elevado consumo de restos alimentares registrados no presente estudo representaria uma maneira eficaz de agregar nutrientes à dieta, sem grandes demandas de energia em competição por itens naturais mais escassos.…”

Section: Discussionunclassified

Utilização de alimento industrializado por duas espécies de passeriformes (Furnarius rufus e Turdus rufiventris) em ambiente urbano

2017

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A interferência humana no comportamento de aves sinantrópicas deve ser considerada nos debates a respeito do bem-estar da fauna urbana. Assim, objetivou-se avaliar comparativamente forrageamento de Furnarius rufus e Turdus rufiventris no Campus Curitiba da Pontifícia Universidade Católica do Paraná, no período de novembro de 2012 a novembro de 2013 em duas etapas: análise do consumo parental na fase pré-oviposição e consumo de alimento na fase de cuidado parental. Os alimentos consumidos por adultos de ambas as espécies na fase pré-oviposição, se constituíram preferencialmente de insetos e restos de alimentos de diversas origens, deixados pelos frequentadores do Campus. Enquanto que na fase de cuidado parental, ambas as espécies, se alimentaram preferencialmente de alimentos industrializados, contudo, levaram ao ninho insetos e minhocas. Esse resultado evidencia que embora as aves adultas aprendam a usar recursos alternativos de maior valor energético, exibem comportamento instintivo ao alimentar os filhotes preferindo alimentos naturais, mesmo diante da alta disponibilidade de alimentos industrializados.

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“…Recently, due to the pollution of the global environment, recyclable energy [2] and non-polluting sources such as wind energy have been gaining extensive attention [3]. Wind energy, which is one of the most promising and active recyclable sources, is providing an increasingly strong supplement to traditional energy sources [4].…”

Section: Introductionmentioning

confidence: 99%

An Innovative Hybrid Model Based on Data Pre-Processing and Modified Optimization Algorithm and Its Application in Wind Speed Forecasting

et al. 2017

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Abstract:Wind speed forecasting has an unsuperseded function in the high-efficiency operation of wind farms, and is significant in wind-related engineering studies. Back-propagation (BP) algorithms have been comprehensively employed to forecast time series that are nonlinear, irregular, and unstable. However, the single model usually overlooks the importance of data pre-processing and parameter optimization of the model, which results in weak forecasting performance. In this paper, a more precise and robust model that combines data pre-processing, BP neural network, and a modified artificial intelligence optimization algorithm was proposed, which succeeded in avoiding the limitations of the individual algorithm. The novel model not only improves the forecasting accuracy but also retains the advantages of the firefly algorithm (FA) and overcomes the disadvantage of the FA while optimizing in the later stage. To verify the forecasting performance of the presented hybrid model, 10-min wind speed data from Penglai city, Shandong province, China, were analyzed in this study. The simulations revealed that the proposed hybrid model significantly outperforms other single metaheuristics.

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Insects for biodiesel production

Cited by 131 publications

References 55 publications

Esterification of High Free Fatty Acid Rice Bran Oil: Parametric and Kinetic Study

Esterification of High Free Fatty Acid Rice Bran Oil: Parametric and Kinetic Study

Utilização de alimento industrializado por duas espécies de passeriformes (Furnarius rufus e Turdus rufiventris) em ambiente urbano

An Innovative Hybrid Model Based on Data Pre-Processing and Modified Optimization Algorithm and Its Application in Wind Speed Forecasting

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