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Solar Power

Author: Jim Ollhoff
Publisher: ABDO
ISBN: 9781617144349
Size: 32.38 MB
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Examines the advantages and disadvantages of solar power energy sources and the possible future of solar power.

Solar Power

Author: Richard Hantula
Publisher: Infobase Publishing
ISBN: 143813164X
Size: 26.10 MB
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Explains how solar energy is generated and used, discusses solar panels and solar power towers, and considers the use of solar energy as a renewable resource.

Solar Energy

Author: Ian F. Mahaney
Publisher: The Rosen Publishing Group
ISBN: 9781404234796
Size: 66.13 MB
Format: PDF, Kindle
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Earth receives only one billionth of the energy coming from the Sun. Yet, this is enough energy to power all of life on Earth. This title brings solar energy to life.

Solar Energy

Author: Emily Sohn
Publisher: Norwood House Press
ISBN: 1599534304
Size: 75.14 MB
Format: PDF, ePub
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"Describes the many uses and powers of the Sun's energy - weather patterns, creating electricity, and more. As readers use scientific inquiry to learn about how to capture and use the power of solar energy, an activity based on real world situations challenges them to apply what they've learned in order to solve a puzzle"--

Solar Energy

Author: Jeffrey M. Gordon
Publisher: Routledge
ISBN: 113427582X
Size: 65.89 MB
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It is rare that a book draws together the knowledge and experience of scientists, each a world leader in his or her discipline, to create a work that presents the state of the art in a field as rich and diverse as solar energy. In Solar Energy - the State of the Art this aim has been achieved. The book comprises twelve individual chapters, each dedicated to one of the major solar energy sub-disciplines and authored by an internationally recognised expert in the field. Areas covered range from solar radiation and meteorology, solar collectors and concentrators, solar energy and the built environment, to solar thermal electricity, photovoltaics, wind energy and the potential cost of ignoring solar energy resources. The papers examine the technology and field in question, discuss the rudiments and major applications, review the current science and technology and explore the remaining challenges for the future. Solar Energy - the State of the Art is an essential reference work for all solar energy practitioners, students, researchers and engineers wishing to gain a broad-based understanding of the theory, technology, applications and issues surrounding the broad, interdisciplinary field of solar energy. The book will form an important component of any library's solar energy holding and will be of particular benefit as an academic reference, as well as being of practical value to professionals who wish to gain a clear understanding of the concepts required to move forward in this field. Published with ISES.

Applications Of Solar Energy

Author: Himanshu Tyagi
Publisher: Springer
ISBN: 981107206X
Size: 63.79 MB
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This book focuses on solar-energy-based renewable energy systems and discusses the generation of electric power using solar photovoltaics, as well as some new techniques, such as solar towers, for both residential and commercial needs. Such systems have played an important role in the move towards low-emission and sustainable energy sources. The book covers a variety of applications, such as solar water heaters, solar air heaters, solar drying, nanoparticle-based direct absorption solar systems, solar volumetric receivers, solar-based cooling systems, solar-based food processing and cooking, efficient buildings using solar energy, and energy storage for solar thermal systems. Given its breadth of coverage, the book offers a valuable resource for researchers, students, and professionals alike.

Solar Energy

Author: Sukhatme
Publisher: Tata McGraw-Hill Education
ISBN: 9780070260641
Size: 47.13 MB
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Solar Energy

Author: Garg & Prakash
Publisher: Tata McGraw-Hill Education
ISBN: 9780074636312
Size: 54.54 MB
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Sun Tracking And Solar Renewable Energy Harvesting

Author: Gerro Prinsloo
Publisher: Gerro Prinsloo
ISBN:
Size: 33.60 MB
Format: PDF
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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.