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Advances in Energy Research - Volume 30 (Hardcover)
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Advances in Energy Research - Volume 30 (Hardcover)
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In this compilation, the authors first present a study in which
computational design is performed, using empirical data, to fit
physical models to extract transport and material parameters (which
are then used in 1D continuum and 3D particle models of charge
transport) to validate against empirical measurement and each other
prior to use in extrapolation studies. Next, the book aims to
discuss and illustrate the key trends behind the current
international and European Union energy and climate policy. The
authors provide insights into current dynamics, enabling a better
understanding of future developments and indicating that unless a
global effort to reduce greenhouse gas emissions is made, emissions
will continue to rise. The authors also present a computer
algorithm based on type-1 fuzzy logic control strategies to manage
the flow of energy in stand-alone PV/Wind/Battery hybrid systems.
The solar and wind energies were combined together to increase
systems efficiency and batteries were used to ensure the
availability of power on demand and improve the dynamic behavior of
the system. Both traditional and state-of-the-art proteomics
techniques used for quantification of corn stover hydrolyzing
enzymes are presented in the following chapter. The quantitative
expression of cellulolytic and hemicellulolytic enzymes secreted by
different microbes during corn stover hydrolysis is discussed, and
an attempt is made to link the substrate complexity and
quantitative composition of lignocellulolytic enzymes produced by
microbes. Later, an algorithm based on artificial neural network
(ANN) and data envelopment analysis (DEA) is proposed for analyzing
and assessing industrial sectors for energy potential. For
illustrative purposes, energy use in the South African industrial
sector between 1993 and 2025 was presented as a case study. The
closing study reviews the merits of these Artificial Neural Network
(ANN) and Data Envelopment Analysis to develop a new hybrid model
to determine how much energy could be conserved in the residential
sector. The model was applied to the United States residential
sector from 1984 to 2010 and it was discovered that 7.5% of energy
consumed could be conserved.
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