Download or read book Adaptive Control of Solar Energy Collector Systems written by João M. Lemos and published by Springer. This book was released on 2014-06-04 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes methods for adaptive control of distributed-collector solar fields: plants that collect solar energy and deliver it in thermal form. Controller design methods are presented that can overcome difficulties found in these type of plants: they are distributed-parameter systems, i.e., systems with dynamics that depend on space as well as time; their dynamics is nonlinear, with a bilinear structure; there is a significant level of uncertainty in plant knowledge. Adaptive methods form the focus of the text because of the degree of uncertainty in the knowledge of plant dynamics. Parts of the text are devoted to design methods that assume only a very limited knowledge about the plant. Other parts detail methods that rely on knowledge of the dominant plant structure. These methods are more plant specific, but allow the improvement of performance. Adaptive Control of Solar Energy Collector Systems demonstrates the dynamics of solar fields to be rich enough to present a challenge to the control designer while, at the same time, simple enough to allow analytic work to be done, providing case studies on dynamics and nonlinear control design in a simple and revealing, but nontrivial way. The control approaches treated in this monograph can be generalized to apply to other plants modelled by hyperbolic partial differential equations, especially process plants in which transport phenomena occur, plants like dryers, steam super-heaters and even highway traffic. An important example, used repeatedly throughout the text, is a distributed-collector solar field installed at Plataforma Solar de Almeria, located in southern Spain. The control algorithms laid out in the text are illustrated with experimental results generated from this plant. Although the primary focus of this monograph is solar energy collector, the range of other systems which can benefit from the methods described will make it of interest to control engineers working in many industries as well as to academic control researchers interested in adaptive control and its applications.
Download or read book Control of Solar Energy Systems written by Eduardo F. Camacho and published by Springer. This book was released on 2014-02-22 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: Control of Solar Energy Systems details the main solar energy systems, problems involved with their control, and how control systems can help in increasing their efficiency. Thermal energy systems are explored in depth, as are photovoltaic generation and other solar energy applications such as solar furnaces and solar refrigeration systems. This second and updated edition of Advanced Control of Solar Plants includes new material on: solar towers and solar tracking; heliostat calibration, characterization and offset correction; solar radiation, estimation, prediction, and computation; and integrated control of solar plants. This new edition contains worked examples in the text as well as proposed exercises and simulation models and so will be of great use to the student and academic, as well as the industrial practitioner.
Download or read book Advanced Control of Solar Plants written by Manuel Berenguel and published by Springer. This book was released on 2011-09-15 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology impacts all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies ... , new challenges. Much of this development work resides in industrial reports, feasibility study papers and the reports of advanced collaborative projects. The series offers an opportunity for researchers to present an extended exposition of such new work in all aspects of industrial control for wider and rapid dissemination. This volume by Professor Eduardo F. Camacho and his colleagues Manuel Berenguel and Francisco R. Rubio is an exemplar of what an Advances in Industrial Control monograph should be. In it the control of a thermal solar facility is used to study the performance obtainable from an interesting range of control algorithms. These methods range from the conventional PID controller, through to model-based predictive and robust optimal control methods and finishing with two fuzzy logic based control techniques. The scientific methodology applied is modelling, simulation and plant implementation. In the last chapter, a rigorous approach for a comparative study is described involving a careful selection of performance metrics. The text is rich in relevant up-to-date source material, and contains many thought-provoking comments. The presentation is well-balanced, impartial and very readable.
Download or read book Active Solar Collectors and Their Applications written by Ari Rabl and published by Oxford University Press. This book was released on 1985-08-22 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides a survey of solar geometry and meteorological data, the optics of various kinds of solar collectors, the mechanics of heat transfer, and private elements of system deign, optimization, and economic analysis. Also discussed are testing, methods and materials, and tracking and nontracking collectors.
Download or read book Energy Conservation by Adaptive Control for a Solar Heated Building written by and published by . This book was released on 1977 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Identification and optimal control techniques are combined to form an adaptive optimal control strategy which is used to minimize the auxiliary energy consumption for a solar heated building. The adaptive optimal control strategy is described and application of the adaptive optimal controller to the heating, ventilating, and air conditioning (HVAC) system in an appropriate building is modeled. The building used is the newly completed National Security and Resources Study Center (NSRSC) at the Los Alamos Scientific Laboratory (LASL). The NSRSC uses an 8000 sq. ft. solar collector to provide energy for heating and cooling the building. A cost functional to define optimal performance of the HVAC system and an identification process to produce a linearized building model are combined to yield an adaptive linear regulator solution. Although solar energy is used for both heating and cooling the NSRSC, only the results from the heating simulation are available for presentation here. Energy savings predicted by the model when compared to a conventional control system are described and an alternate system configuration is briefly discussed. Plans for actual implementation of the adaptive optimal controller are discussed.
Download or read book Model Reference Adaptive Control of Solar Photovoltaic Systems written by Abderrahmen Ben Chaabene and published by . This book was released on 2019 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The major problem of the industrial sectors is to efficiently supply their energy requirement. Renewable energy sources, in particular solar energy, are intermittently accessible widely around the world. Photovoltaics (PV) technology converts sunlight to electricity. In this work, we present a contribution dealing with a new mathematic development of tracking control technique based on Variable Structure Model Reference Adaptive Following (VSMRAF) control applied to systems coupled with solar sources. This control technique requires the system to follow a reference model (the solar radiation model) by adjusting its dynamic and ensuring the minimal value of error between the plant dynamics and that of the reference solar radiation model. This chapter provides a new theoretical analysis validated by simulation and experimental results to assure optimum operating conditions for solar photovoltaic systems.
Download or read book Sun Tracking and Solar Renewable Energy Harvesting written by Gerro Prinsloo and published by Gerro Prinsloo. This book was released on 2015-11-02 with total page 542 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Study on the Use of Adaptive Control for Energy Conservation in Large Solar Heated and Cooled Buildings written by and published by . This book was released on 1980 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The National Security and Resources Study Center at LASL provides the basis for a general model used in this simulation. The NSRSC is a 59,000 ft2 library and conference facility. A simplified model of the solar heating system is used. The adaptive optimal control technique is described and applied and the results are discussed. (MHR).
Download or read book System Identification and Adaptive Control Studies for a Solar Heated and Cooled Building written by Michael Arthur Laird and published by . This book was released on 1978 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Proceedings of the First Workshop on the Control of Solar Energy Systems for Heating and Cooling May 23 24 25 1978 Sheraton Regal Inn Hyannis Massachusetts in Conjunction with American Section of the International Solar Energy Society Inc written by Elizabeth F. Clark and published by . This book was released on 1978 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Monitoring and Control of Solar Energy Collection Systems with Microcomputers written by Edward Francis Zabrensky and published by . This book was released on 1986 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book George Canning and His Friends written by and published by . This book was released on 1909 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Optimal Solar Energy Collector System written by M. Kovarik and published by . This book was released on 1975 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Optimization of a Hybrid Solar Energy Collector System written by Alan M. Shinkman and published by . This book was released on 1981 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Improved Solar Energy Collector System written by S. Godon and published by . This book was released on 1978 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Adaptive Control for Energy Conservation written by and published by . This book was released on 1978 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of adaptive control techniques is investigated in heating, ventilating, and air cnditioning (HVAC) systems in solar heated and cooled buildings to minimize the consumption of auxiliary energy. Optimal control theory is used in conjunction with the adaptive control techniques to accomplish the minimization of auxiliary energy. The resulting technique is referred to as adaptive optimal control (AOC). This study has been made by computer simulation and is centered on the National Security and Resources Study Center (NSRSC), a large solar heated and cooled building at the Los Alamos Scientific Laboratory (LASL). Simplified models of the building and HVAC system have been developed for both the heating and cooling modes. The control strategies actually used in the NSRSC were simulated in the models and an adaptive optimal controller was developed and also simulated. Simulation runs were made with both the conventional controller and the adaptive controller and performance results of the two simulations were compared. In the first results (obtained using a partial derivative system identification method), the adaptive optimal controller model demonstrated a savings in auxiliary energy of 28.8% for the heating simulation and 18.3% for the cooling simulation when compared to the conventional controller simulation models.
Download or read book Design of a Sun Tracking Automatic Control System for a Solar Energy Collector written by Roger William Heitschmidt and published by . This book was released on 1968 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt:
