Neighboring-Pixel-Based Maximum Power Point Tracking Algorithm for Partially Shaded Photovoltaic (PV) Systems

In this paper, a neighboring-pixel-based virtual imaging (NPBVI) technique is developed to comprehensively detect the shading conditions on PV arrays. The proposed VI technique is then merged with a probabilistic mechanism of shaded module currents. Finally, a mathematical model is presented, which predicts the current voltage (I-V) region corresponding to the global maximum (GM) of the shaded PV array. The effectiveness of the proposed NPBVI MPPT is validated through numerous experiments that were carried out using a hardware prototype with a 150 W power rating. For the experiments, a PV array consisting of 3 × 2 (Np× Ns ) 20 W PV modules was utilized. The experiments showcase agreement that the proposed method successfully identified the GM region of a partially shaded PV array

Industrial Applications: New Solutions for the New Era

This book reprints articles from the Special Issue "Industrial Applications: New Solutions for the New Age" published online in the open-access journal Machines (ISSN 2075-1702). This book consists of twelve published articles. This special edition belongs to the "Mechatronic and Intelligent Machines" section

PV System Design and Performance

Photovoltaic solar energy technology (PV) has been developing rapidly in the past decades, leading to a multi-billion-dollar global market. It is of paramount importance that PV systems function properly, which requires the generation of expected energy both for small-scale systems that consist of a few solar modules and for very large-scale systems containing millions of modules. This book increases the understanding of the issues relevant to PV system design and correlated performance; moreover, it contains research from scholars across the globe in the fields of data analysis and data mapping for the optimal performance of PV systems, faults analysis, various causes for energy loss, and design and integration issues. The chapters in this book demonstrate the importance of designing and properly monitoring photovoltaic systems in the field in order to ensure continued good performance

Computational Intelligence for Modeling, Control, Optimization, Forecasting and Diagnostics in Photovoltaic Applications

This book is a Special Issue Reprint edited by Prof. Massimo Vitelli and Dr. Luigi Costanzo. It contains original research articles covering, but not limited to, the following topics: maximum power point tracking techniques; forecasting techniques; sizing and optimization of PV components and systems; PV modeling; reconfiguration algorithms; fault diagnosis; mismatching detection; decision processes for grid operators

A COMPREHENSIVE ASSESSMENT METHODOLOGY BASED ON LIFE CYCLE ANALYSIS FOR ON-BOARD PHOTOVOLTAIC SOLAR MODULES IN VEHICLES

This dissertation presents a novel comprehensive assessment methodology for using on-board photovoltaic (PV) solar technologies in vehicle applications. A well-to-wheels life cycle analysis based on a unique energy, greenhouse gas (GHG) emission, and economic perspective is carried out in the context of meeting corporate average fuel economy (CAFE) standards through 2025 along with providing an alternative energy path for the purpose of sustainable transportation. The study includes 14 different vehicles, 3 different travel patterns, in 12 U.S. states and 16 nations using 19 different cost analysis scenarios for determining the challenges and benefits of using on-board photovoltaic (PV) solar technologies in vehicle applications. It develops a tool for decision-makers and presents a series of design requirements for the implementation of on-board PV in automobiles to use during the conceptual design stage, since its results are capable of reflecting the changes in fuel consumption, greenhouse gas emission, and cost for different locations, technological, and vehicle sizes. The decision-supports systems developed include (i) a unique decision support systems for selecting the optimal PV type for vehicle applications using quality function deployment, analytic hierarchy process, and fuzzy axiomatic design, (ii) a unique system for evaluating all non-destructive inspection systems for defects in the PV device to select the optimum system suitable for an automated PV production line. (iii) The development of a comprehensive PV system model that for predicting the impact of using on-board PV based on life cycle assessment perspective. This comprehensive assessment methodology is a novel in three respects. First, the proposed work develops a comprehensive PV system model and optimizes the solar energy to DC electrical power output ratio. Next, it predicts the actual contribution of the on-board PV to reduce fuel consumption, particularly for meeting corporate average fuel economy (CAFE) 2020 and 2025 standards in different scenarios. The model also estimates vehicle range extension via on-board PV and enhances the current understanding regarding the applicability and effective use of on-board PV modules in individual automobiles. Finally, it develops a life cycle assessment (LCA) model (well-to-wheels analysis) for this application. This enables a comprehensive assessment of the effectiveness of an on-board PV vehicle application from an energy consumption, Greenhouse Gas (GHG) emission, and cost life-cycle perspective. The results show that by adding on-board PVs to cover less than 50% of the projected horizontal surface area of a typical passenger vehicle, up to 50% of the total daily miles traveled by a person in the U.S. could be driven by solar energy if using a typical mid-size vehicle, and up to 174% if using a very lightweight and aerodynamically efficient vehicle. In addition, the increase in fuel economy in terms of combined mile per gallon (MPG) at noon for heavy vehicles is between 2.9% to 9.5%. There is a very significant increase for lightweight and aerodynamic efficient vehicles, with MPG increase in the range of 10.7% to 42.2%, depending on location and time of year. Although the results show that the plug-in electric vehicles (EVs) do not always have a positive environmental impact over similar gasoline vehicles considering the well-to-wheel span, the addition of an on-board PV system for both vehicle configurations, significantly reduces cycle emissions (e.g., the equivalent savings of what an average U.S. home produces in a 20 month period). The lifetime driving cost ($per mile) of a gasoline vehicle with adding on-board PV, compared to a pure gasoline vehicle, is lower in regions with more sunlight (e.g., Arizona) even of the current gasoline price in the U.S. ($4.0 per gallon) assuming battery costs will decline over time. Lifetime driving cost ($per mile) of a plug-in EV with added PV versus pure plug-in EV (assuming electricity price 0.18$/kWh) is at least similar, but mostly lower, even in regions with less sunlight (e.g., Massachusetts). In places with low electricity prices (0.13 $/kWh), and with more sunlight, the costs of operating an EV with PV are naturally lower. The study reports a unique observation that placing PV systems on-board for existing vehicles is in some cases superior to the lightweighting approach regarding full fuel-cycle emissions. An added benefit of on-board PV applications is the ability to incorporate additional functionality into vehicles. Results show that an on-board PV system operating in Phoenix, AZ can generate in its lifetime, energy that is the equivalent of what an American average household residential utility customer consumes over a three-year period. However, if the proposed system operates in New Delhi, India, the PV could generate energy in its lifetime that is the equivalent of what an Indian average household residential utility customer consumes over a 33-year period. Consequently, this proposed application transforms, in times of no-use, into a flexible energy generation system that can be fed into the grid and used to power electrical devices in homes and offices. The fact that the output of this system is direct current (DC) electricity rather than alternative current (AC) electricity reduces the wasted energy cost in the generation, transmission, and conversion losses between AC-DC electricity to reach the grid. Thus, this system can potentially reduce the dependency on the grid in third world countries where the energy consumption per home is limited and the grid is unstable or unreliable, or even unavailable

Positioning of a wireless relay node for useful cooperative communication

Given the exorbitant amount of data transmitted and the increasing demand for data connectivity in the 21st century, it has become imperative to search for pro-active and sustainable solutions to the effectively alleviate the overwhelming burden imposed on wireless networks. In this study a Decode and Forward cooperative relay channel is analyzed, with the employment of Maximal Ratio Combining at the destination node as the method of offering diversity combining. The system framework used is based on a three-node relay channel with a source node, relay node and a destination node. A model for the wireless communications channel is formulated in order for simulation to be carried out to investigate the impact on performance of relaying on a node placed at the edge of cell. Firstly, an AWGN channel is used before the effect of Rayleigh fading is taken into consideration. Result shows that performance of cooperative relaying performance is always superior or similar to conventional relaying. Additionally, relaying is beneficial when the relay is placed closer to the receiver

Microgrids

Microgrids are a growing segment of the energy industry, representing a paradigm shift from centralized structures toward more localized, autonomous, dynamic, and bi-directional energy networks, especially in cities and communities. The ability to isolate from the larger grid makes microgrids resilient, while their capability of forming scalable energy clusters permits the delivery of services that make the grid more sustainable and competitive. Through an optimal design and management process, microgrids could also provide efficient, low-cost, clean energy and help to improve the operation and stability of regional energy systems. This book covers these promising and dynamic areas of research and development and gathers contributions on different aspects of microgrids in an aim to impart higher degrees of sustainability and resilience to energy systems