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Author:
Publisher:
ISBN:
Category : Beet sugar
Languages : en
Pages : 608
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Book Description
Author:
Publisher:
ISBN:
Category : Beet sugar
Languages : en
Pages : 608
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Book Description
Author:
Publisher: Bib. Orton IICA / CATIE
ISBN:
Category :
Languages : en
Pages : 424
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Author:
Publisher:
ISBN:
Category : Beet sugar industry
Languages : en
Pages : 848
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Book Description
Author:
Publisher: Soffer Publishing
ISBN: 2218680300
Category :
Languages : en
Pages : 93
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Book Description
Author:
Publisher:
ISBN:
Category : Agriculture
Languages : en
Pages : 938
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Book Description
Author: D. Pimentel
Publisher: Springer Science & Business Media
ISBN: 1402086547
Category : Technology & Engineering
Languages : en
Pages : 513
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Book Description
The petroleum age began about 150 years ago. Easily available energy has s- ported major advances in agriculture, industry, transportation, and indeed many diverse activities valued by humans. Now world petroleum and natural gas s- plies have peaked and their supplies will slowly decline over the next 40–50 years until depleted. Although small amounts of petroleum and natural gas will remain underground, it will be energetically and economically impossible to extract. In the United States, coal supplies could be available for as long as 40–50 years, depending on how rapidly coal is utilized as a replacement for petroleum and natural gas. Having been comfortable with the security provided by fossil energy, especially petroleum and natural gas, we appear to be slow to recognize the energy crisis in the U. S. and world. Serious energy conservation and research on viable renewable - ergy technologies are needed. Several renewable energy technologies already exist, but sound research is needed to improve their effectiveness and economics. Most of the renewable energy technologies are in uenced by geographic location and face problems of intermittent energy supply and storage. Most renewable technologies require extensive land; a few researchers have even suggested that one-half of all land biomass could be harvested in order to supply the U. S. with 30% of its liquid fuel! Some optimistic investigations of renewable energy have failed to recognize that only 0. 1% of the solar energy is captured annually in the U. S.
Author:
Publisher:
ISBN:
Category : Agricultural industries
Languages : en
Pages : 136
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Book Description
Agricultura e agroindustria de oleaginosas no Brasil; o melhoramento genetico e a pesquisa participativa como elementos de difusao e transferencia de tecnologias; oportunidades de investimento na agropecuaria da bahia; oleoquimica; oleos e gorduras: materias primas do futuro; tecnologia e o futuro da agroindustria; fornecimento de energia solar para areas rurais; renovando a industria agricola e de alimentos; produtos e tecnologia fotovoltaica; vantagens da energia eolica; perspectivas e restricoes da agroindustria na Bahia.
Author:
Publisher: IICA Biblioteca Venezuela
ISBN:
Category :
Languages : en
Pages : 284
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Author:
Publisher:
ISBN:
Category : Agriculture
Languages : en
Pages : 720
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Book Description
Author: Gerro Prinsloo
Publisher: Gerro Prinsloo
ISBN:
Category : Computers
Languages : en
Pages : 542
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Book Description
Free to download eBook on Practical Solar Tracking Design, Solar Tracking, Sun Tracking, Sun Tracker, Solar Tracker, Follow Sun, Sun Position calculation (Azimuth, Elevation, Zenith), Sun following, Sunrise, Sunset, Moon-phase, Moonrise, Moonset calculators. In harnessing power from the sun through a solar tracker or solar tracking system, renewable energy system developers require automatic solar tracking software and solar position algorithms. On-axis sun tracking system such as the altitude-azimuth dual axis or multi-axis solar tracker systems use a sun tracking algorithm or ray tracing sensors or software to ensure the sun's passage through the sky is traced with high precision in automated solar tracker applications, right through summer solstice, solar equinox and winter solstice. Eco Friendly and Environmentally Sustainable Micro Combined Solar Heat and Power (m-CHP, m-CCHP, m-CHCP) with Microgrid Storage and Layered Smartgrid Control towards Supplying Off-Grid Rural Villages in developing BRICS countries such as Africa, India, China and Brazil. Off-grid rural villages and isolated islands areas require mCHP and trigeneration solar power plants and associated isolated smart microgrid solutions to serve the community energy needs. This article describes the development progress for such a system, also referred to as solar polygeneration. The system includes a sun tracker mechanism wherin a parabolic dish or lenses are guided by a light sensitive mechanique in a way that the solar receiver is always at right angle to the solar radiation. Solar thermal energy is then either converted into electrical energy through a free piston Stirling, or stored in a thermal storage container. The project includes the thermodynamic modeling of the plant in Matlab Simulink as well as the development of an intelligent control approach that includes smart microgrid distribution and optimization. The book includes aspects in the simulation and optimization of stand-alone hybrid renewable energy systems and co-generation in isolated or islanded microgrids. It focusses on the stepwise development of a hybrid solar driven micro combined cooling heating and power (mCCHP) compact trigeneration polygeneration and thermal energy storage (TES) system with intelligent weather prediction, weak-ahead scheduling (time horizon), and look-ahead dispatch on integrated smart microgrid distribution principles. The solar harvesting and solar thermodynamic system includes an automatic sun tracking platform based on a PLC controlled mechatronic sun tracking system that follows the sun progressing across the sky. An intelligent energy management and adaptive learning control optimization approach is proposed for autonomous off-grid remote power applications, both for thermodynamic optimization and smart micro-grid optimization for distributed energy resources (DER). The correct resolution of this load-following multi objective optimization problem is a complex task because of the high number and multi-dimensional variables, the cross-correlation and interdependency between the energy streams as well as the non-linearity in the performance of some of the system components. Exergy-based control approaches for smartgrid topologies are considered in terms of the intelligence behind the safe and reliable operation of a microgrid in an automated system that can manage energy flow in electrical as well as thermal energy systems. The standalone micro-grid solution would be suitable for a rural village, intelligent building, district energy system, campus power, shopping mall centre, isolated network, eco estate or remote island application setting where self-generation and decentralized energy system concepts play a role. Discrete digital simulation models for the thermodynamic and active demand side management systems with digital smartgrid control unit to optimize the system energy management is currently under development. Parametric simulation models for this trigeneration system (polygeneration, poligeneration, quadgeneration) are developed on the Matlab Simulink and TrnSys platforms. In terms of model predictive coding strategies, the automation controller will perform multi-objective cost optimization for energy management on a microgrid level by managing the generation and storage of electrical, heat and cooling energies in layers. Each layer has its own set of smart microgrid priorities associated with user demand side cycle predictions. Mixed Integer Linear Programming and Neural network algorithms are being modeled to perform Multi Objective Control optimization as potential optimization and adaptive learning techniques.
