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In order to efficiently use solar energy to generate electrical power, three-dimensional (3D) Fibonacci number photovoltaic modules (FPMs), which are designed in part based on natural plant leaf arrangements were proposed. It has been also proposed the large-scale power generation systems using multiple FPMs (hereinafter, power generation forests), and shown its power generation characteristics by...
Solar energy can be best harnessed by obtaining accurate values of solar radiation intensity for a given location. This work describes the design and implementation of a novel dual axis tracking system, costing a fraction of an equivalent product on the market, which has been developed to measure, remotely analyze, and assess the solar radiation potential using two pyranometers and a pyrheliometer...
The development of renewable energy technologies is an inevitable requirement to cope with environmental, economic and political challenges. Solar energy is regarded as one of the most promising types among renewable energy sources. So, the characterization of solar parameters is a significant process in solar energy installations. In this paper, we use three different curve fitting methods called...
The present article presents a methodology for measuring the loss of yield of photovoltaic solar cells due to degradation and to dirty in large scale photovoltaic solar systems. The study allows, in a practical and simplified way, the entrepreneur can measure the loss of power due to these phenomena prior to the installation of the plant. The applied methodology consists of the analysis of the behavior...
This paper presents predictive models based on dynamic recurrent neural networks DRNNs with short term delay units to predict daily solar radiation intensity. The proposed approach aims to evaluate the daily global solar radiation using simple recurrent neural networks (SRNNs) with meteorological data. First, we present a reference model based on a feed-forward multilayer perceptron (MLP), then we...
This paper presents the implementation and evaluation of solar radiation stochastic autoregressive models — AR, subsequently applied in synthetic sequences generation and in the evaluation of bidding strategies for energy auctions. The study analyzed the conventional and periodic AR models, for different lag orders, performing model tests with real radiation data. The generation of synthetic sequences...
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