Very Short-TermPower Forecasting of High Concentrator Photovoltaic Power Facility by Implementing Artificial Neural Network

Concentrator photovoltaic (CPV) is used to obtain cheaper and more stable renewable energy. Methods which predict the energy production of a power system under specific circumstances are highly important to reach the goal of using this system as a part of a bigger one or of making it integrated with the grid. In this paper, the development of a model to predict the energy of a High CPV (HCPV) system using an Artificial Neural Network (ANN) is described. This system is located at the University of Rabat. The performed experiments show a quick prediction with encouraging results for a very short-term prediction horizon, considering the small amount of data available. These conclusions are based on the processes of obtaining the ANN models and detailed discussion of the results, which have been validated using real dat

Photovoltaic-Powered Water Pumping-Design, and Implementation: Case Studies in Wyoming

A photovoltaic-powered water pumping project comprising of several rural electric cooperatives and their customers is described in detail. A number of remote water pumping installations in the state of Wyoming, USA, are currently operating as a result of this project. The design, installation and performance monitoring of these systems are discussed. In general, it can be stated that PV-powered water pumping in this state has been a cost-effective alternative to distribution line extension or other conventional means of water pumping. Customer satisfaction, in terms of functional adequacy and low maintenance requirements of these systems, is high. The benefit for the electric utilities concerned, are cost savings and better customer relations

Análisis, caracterización y modelado del comportamiento en exterior de módulos de concentración fotovoltaica

[ES] En la presente Tesis Doctoral se ha profundizado en el estudio y análisis del comportamiento eléctrico en exterior de módulos de tecnología de concentración fotovoltaica (CPV), así como en la dependencia de dicho comportamiento con las condiciones ambientales registradas. Entre ellas, para evaluar el comportamiento eléctrico de los módulos CPV, se han considerado: la irradiancia normal directa (DNJ), la distribución espectral de la irradiancia incidente -a través de dos índices alternativos: average photon energy (APE) y spectral matching ratio (SMR)-, la temperatura ambiente (Tamb) Y la velocidad del viento (Ws). A lo largo de esta Tesis Doctoral se han propuesto dos modelos de predicción de la potencia máxima entregada por los módulos CPV apoyándose en polinomios de regresión y técnicas de regresión lineal múltiple. Asimismo, se han implementado dos modelos basados en la utilización[EN] The present PhD goes in depth in the study and analysis of the outdoor electrical performance presented by CPV modules, as well as in the dependence of this performance on the registered environmental conditions. Among them, when evaluating the electric performance of CPV modules, the following variables were considered: direct normal irradiance (DNJ), spectral distribution of the incident irradiance- through two alternative indexes: average photon energy (APE) and spectral matching ratio (SMR)-, ambient temperature (Tamb) and wind speed (Ws). Along this Thesis two different models based on polynomic regression and multiple linear equations, have been proposed to predict the maximum power delivered by the CPV modules. Furthermore, two models based on the use of artificial neural networks have been implemented. These models permit simulating the entire I-V curve of CPV modules.Tesis Univ. Jaén. Departamento de Ingeniería Electrónica y Automática, leída el 16 de julio de 201

Solar Power System Plaing & Design

Photovoltaic (PV) and concentrated solar power (CSP) systems for the conversion of solar energy into electricity are technologically robust, scalable, and geographically dispersed, and they possess enormous potential as sustainable energy sources. Systematic planning and design considering various factors and constraints are necessary for the successful deployment of PV and CSP systems. This book on solar power system planning and design includes 14 publications from esteemed research groups worldwide. The research and review papers in this Special Issue fall within the following broad categories: resource assessments, site evaluations, system design, performance assessments, and feasibility studies

Development of a spectral dependent electrical & thermal model for high concentrating photovoltaic (HCPV) receivers

High concentrating photovoltaic (HCPV) systems employ III-V multijunction (MJ) solar cells. Such solar cells are monolithically connected in-series and therefore present a strong dependence on the solar spectrum variations. In addition, the concentrated solar flux contributes to the heat generation within the solar cells and, in combination with the current mismatch between the subcells, can force the device to operate in elevated temperatures. It is important therefore, to investigate the influence of the atmospheric parameters on the electrical performance of HCPV and also to quantify the cooling requirements based on the spectrum changes. In this thesis, a spectral dependent electrical model has been developed to calculate the electrical characteristics and quantify the heat power of a multijunction solar cell. A three-dimensional finite element analysis is also used to predict the solar cell's operating temperature and cooling requirements for a range of ambient temperatures. The combination of these models improves the prediction accuracy of the electrical and thermal behaviour of triple-junction solar cells. The convective heat transfer coefficient between the back-plate and ambient air is quantified based on input spectra. A theoretical investigation is performed to analyse the influence of air mass (AM), aerosol optical depth (AOD) and precipitable water (PW) on the performance of each subcell and whole. It has been shown that the AM and AOD have a negative impact on the spectral and electrical performance of 3J solar cells while the PW has a positive effect, although, to a lesser degree. In order to get a more realistic assessment and also to investigate the effect of heat transfer coefficient on the annual energy yield, the methodology is applied to four US locations using data from a typical meteorological year (TMY3). The integrated modelling procedure is validated experimentally using field measurements from Albuquerque, NM. The importance of the effect of atmospheric parameters on the solar spectrum and hence the performance of HCPV systems is highlighted in this work. The outdoor characterisation provides with useful insight of the influence of spectrum on the performance of a HCPV monomodule and the current CSOC and CSTC ratings are evaluated based on different spectral filtering criteriaESPR

Energy. A continuing bibliography with indexes, issue 36, January 1983

This bibliography lists 1297 reports, articles, and other documents introduced into the NASA scientific and technical information system from October 1, 1982 through December 31, 1982

Energy: A continuing bibliography with indexes

This bibliography lists 1546 reports, articles, and other documents introduced into the NASA scientific and technical information system from April 1, 1981 through June 30, 1981

Energy: A continuing bibliography with indexes, issue 34

This bibliography lists 1015 reports, articles, and other documents introduced into the NASA scientific and technical information system from April 1, 1981 through June 30, 1981

Photovoltaic energy systems: Program summary fiscal year 1983

An overview of government funded activities in photovoltaic energy conversion research is given. Introductory information, a list of directing organizations, a list of acronyms and abbreviations, and an index of current contractors are given