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Author: Monika Freunek Muller
Publisher: John Wiley & Sons
ISBN: 1119605598
Category : Science
Languages : en
Pages : 304
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Book Description
This is the first and most comprehensive guide on the modeling, engineering and reliable design of indoor photovoltaics which currently is the most promising and energy efficient power supply for edge nodes for the Internet of Things and other indoor devices. Indoor photovoltaics (IPV) has grown in importance over recent years. This can in part be attributed to the creation of the Internet of Things (IoT) and Artificial Intelligence (AI) along with the vast amounts of data being processed in the field, which has been a massive accelerator for this development. Moreover, since energy conservation is being imposed as the national strategy of many countries and is being set as a top priority throughout the world, understanding and promoting IPV as the most promising indoor energy harvesting source is considered by many to be essential these days. The book provides the engineer and researcher with guidelines, and presents a comprehensive overview of theoretical models, efficiencies, and application design. This unique and groundbreaking book has chapters by leading researchers on: Introduction to micro energy harvesting Introduction to indoor photovoltaics Modeling indoor irradiance Characterization and power measurement of IPV cells Luminescent solar concentrators Organic photovoltaic cells and modules for applications under indoor lighting conditions High-efficiency indoor photovoltaic energy harvesting Indoor photovoltaics based on ALGAAs alloys
Author: Monika Freunek Muller
Publisher: John Wiley & Sons
ISBN: 1119605598
Category : Science
Languages : en
Pages : 304
Get Book
Book Description
This is the first and most comprehensive guide on the modeling, engineering and reliable design of indoor photovoltaics which currently is the most promising and energy efficient power supply for edge nodes for the Internet of Things and other indoor devices. Indoor photovoltaics (IPV) has grown in importance over recent years. This can in part be attributed to the creation of the Internet of Things (IoT) and Artificial Intelligence (AI) along with the vast amounts of data being processed in the field, which has been a massive accelerator for this development. Moreover, since energy conservation is being imposed as the national strategy of many countries and is being set as a top priority throughout the world, understanding and promoting IPV as the most promising indoor energy harvesting source is considered by many to be essential these days. The book provides the engineer and researcher with guidelines, and presents a comprehensive overview of theoretical models, efficiencies, and application design. This unique and groundbreaking book has chapters by leading researchers on: Introduction to micro energy harvesting Introduction to indoor photovoltaics Modeling indoor irradiance Characterization and power measurement of IPV cells Luminescent solar concentrators Organic photovoltaic cells and modules for applications under indoor lighting conditions High-efficiency indoor photovoltaic energy harvesting Indoor photovoltaics based on ALGAAs alloys
Author: Chun Xu
Publisher: Frontiers Media SA
ISBN: 2832541429
Category : Science
Languages : en
Pages : 325
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Book Description
Author: Francesco Enrichi
Publisher: Elsevier
ISBN: 0081028733
Category : Technology & Engineering
Languages : en
Pages : 556
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Book Description
Solar Cells and Light Management: Materials, Strategies and Sustainability provides an extensive review on the latest advances in PV materials, along with light management strategies for better exploiting the solar spectrum. Following a brief review of the current status of solar cells, the book discusses different concepts, principles and technologies for solar devices, starting with standard silicon cells and then covering organic-hybrid, DSSC, perovskite, quantum dots and nanostructured oxide solar cells. Other sections focus on light manipulation and spectral modification, materials for spectral conversion, and environmental and sustainably considerations. An emergy analysis, which is an extension of the Life Cycle Assessment methodology, is applied to the study of solar PV systems, thus allowing for effective integrated indicators. Provides a comprehensive picture of light management strategies Features the most recent advances in the field, including novel materials and advanced solar cell technologies Presents a resource that is applicable to both new or experienced researchers in the field Contains a section on environmental and sustainability issues
Author: Agata Zdyb
Publisher: Taylor & Francis
ISBN: 1000807827
Category : Technology & Engineering
Languages : en
Pages : 163
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Book Description
This book presents the principle of operation, materials used and possible applications of third generation solar cells that are under investigation and have been not commercialized on a large scale yet. The third generation photovoltaic devices include promising emerging technologies such as: organic, dye sensitized, perovskite and quantum dot sensitized photocells. This book introduces the reader to the basics of third generation photovoltaics and presents in an accessible way phenomena and a diversity of materials used. In this book one will find the description of the working principle of new promising solar technologies, their advantages and disadvantages, prospect applications and preliminary analysis of their impact on the environment. The fundamentals of traditional solar cell operation are also included in the book facilitating understanding of new ideas. This book is ideal reading for everyone who is interested in novel solutions in photovoltaics as well as applications of nanotechnology, photochemistry and materials research.
Author: Hao Sun
Publisher: John Wiley & Sons
ISBN: 3527350551
Category : Science
Languages : en
Pages : 261
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Book Description
Wearable Solar Cells Understand a groundbreaking new energy technology Solar energy is one of the most important paths to a sustainable future. In recent years, extensive research and development has begun to produce wearable solar cells, whose novel planar and fiber format gives them enormous flexibility and a wide range of potential uses. The possibility of a solar energy source that can be fitted to the human body promises to become an extraordinary tool for meeting various kinds of personal energy needs. Wearable Solar Cells: Mechanisms, Materials, and Devices serves as a comprehensive introduction to this cutting-edge technology and its applications. Recent research pointing towards fiber-format solar cells as a bold new frontier is summarized and explored. The result is an essential resource for both experienced researchers and newcomers to the field. Wearable Solar Cells readers will also find: Close coverage of integrated energy harvesting and storage devices Detailed discussion of dye-sensitized solar cells, polymer solar cells, perovskite solar cells, and more An authorial team with decades of combined research experience Wearable Solar Cells is ideal for materials scientists, polymer chemists, electrical engineers, solid-state physicists, and advanced students interested in these and related topics.
Author: Rabibrata Mukherjee
Publisher: Springer Nature
ISBN: 9819933862
Category : Technology & Engineering
Languages : en
Pages : 238
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Book Description
This book presents the select proceedings of International Conference on Nanotechnology for Sustainable Living and Environment (ICON-NSLE 2022). It covers the latest trends in nanotechnology and its applications in various sectors such as energy, environment, food technology, and biomedicine. Various topics covered in this book are nanomaterial preparation and characterization, nanobiotechnology, nanodevices, waste to wealth, pollution abatement, renewable energy, advanced materials, sensors and portable electronics, biomedical applications, food preservation, etc. This book is useful for researchers and professionals working in the area of nanotechnology and environment sustainability.
Author: Monika Freunek Müller
Publisher: John Wiley & Sons
ISBN: 1119364205
Category : Science
Languages : en
Pages : 300
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Book Description
This book provides the reader with a solid understanding of the fundamental modeling of photovoltaic devices. After the material independent limit of photovoltaic conversion, the readers are introduced to the most well-known theory of "classical" silicon modeling. Based on this, for each of the most important PV materials, their performance under different conditions is modeled. This book also covers different modeling approaches, from very fundamental theoretic investigations to applied numeric simulations based on experimental values. The book concludes wth a chapter on the influence of spectral variations. The information is supported by providing the names of simulation software and basic literature to the field. The information in the book gives the user specific application with a solid background in hand, to judge which materials could be appropriate as well as realistic expectations of the performance the devices could achieve.
Author: Angèle Reinders
Publisher: CRC Press
ISBN: 1351578553
Category : Science
Languages : en
Pages : 206
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Book Description
"Designing with Photovoltaics" cover a broad range of topics related to the design of products, buildings and vehicles with integrated photovoltaic (PV) technologies including storage aspect. It enables the reader to easily design new products, buildings and vehicles through use of innovative PV products. Diverse categories of product integrated PVs are discussed including applications of solar power for mobility and building integrated systems along with design- and manufacturing-related information about solar cells. Illustrating design cases of various PV-powered products, special attention is paid to end-users and environmental aspects of PV applications. Aimed at senior undergraduates, graduates and professionals in electrical engineering, architecture, design, physics, mechanical engineering and those specifically studying photovoltaics, it Covers the different product integrated photovoltaics (PIPV) with a focus on design and manufacturing Presents comprehensive overview of all aspects of designing with photovoltaics Includes product integrated PV, building integrated PV and solar powered mobility concepts Contains real design cases showing how to design with photovoltaics Discusses context of environmental issues and user aspects
Author: Tsutomu Miyasaka
Publisher: John Wiley & Sons
ISBN: 3527347488
Category : Technology & Engineering
Languages : en
Pages : 484
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Book Description
Perovskite Photovoltaics and Optoelectronics Discover a one-of-a-kind treatment of perovskite photovoltaics In less than a decade, the photovoltaics of organic-inorganic halide perovskite materials has surpassed the efficiency of semiconductor compounds like CdTe and CIGS in solar cells. In Perovskite Photovoltaics and Optoelectronics: From Fundamentals to Advanced Applications, distinguished engineer Dr. Tsutomu Miyasaka delivers a comprehensive exploration of foundational and advanced topics regarding halide perovskites. It summarizes the latest information and discussion in the field, from fundamental theory and materials to critical device applications. With contributions by top scientists working in the perovskite community, the accomplished editor has compiled a resource of central importance for researchers working on perovskite related materials and devices. This edited volume includes coverage of new materials and their commercial and market potential in areas like perovskite solar cells, perovskite light-emitting diodes (LEDs), and perovskite-based photodetectors. It also includes: A thorough introduction to halide perovskite materials, their synthesis, and dimension control Comprehensive explorations of the photovoltaics of halide perovskites and their historical background Practical discussions of solid-state photophysics and carrier transfer mechanisms in halide perovskite semiconductors In-depth examinations of multi-cation anion-based high efficiency perovskite solar cells Perfect for materials scientists, crystallization physicists, surface chemists, and solid-state physicists, Perovskite Photovoltaics and Optoelectronics: From Fundamentals to Advanced Applications is also an indispensable resource for solid state chemists and device/electronics engineers.
Author: Katharina Morik
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110785943
Category : Science
Languages : en
Pages : 506
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Book Description
Machine learning is part of Artificial Intelligence since its beginning. Certainly, not learning would only allow the perfect being to show intelligent behavior. All others, be it humans or machines, need to learn in order to enhance their capabilities. In the eighties of the last century, learning from examples and modeling human learning strategies have been investigated in concert. The formal statistical basis of many learning methods has been put forward later on and is still an integral part of machine learning. Neural networks have always been in the toolbox of methods. Integrating all the pre-processing, exploitation of kernel functions, and transformation steps of a machine learning process into the architecture of a deep neural network increased the performance of this model type considerably. Modern machine learning is challenged on the one hand by the amount of data and on the other hand by the demand of real-time inference. This leads to an interest in computing architectures and modern processors. For a long time, the machine learning research could take the von-Neumann architecture for granted. All algorithms were designed for the classical CPU. Issues of implementation on a particular architecture have been ignored. This is no longer possible. The time for independently investigating machine learning and computational architecture is over. Computing architecture has experienced a similarly rampant development from mainframe or personal computers in the last century to now very large compute clusters on the one hand and ubiquitous computing of embedded systems in the Internet of Things on the other hand. Cyber-physical systems’ sensors produce a huge amount of streaming data which need to be stored and analyzed. Their actuators need to react in real-time. This clearly establishes a close connection with machine learning. Cyber-physical systems and systems in the Internet of Things consist of diverse components, heterogeneous both in hard- and software. Modern multi-core systems, graphic processors, memory technologies and hardware-software codesign offer opportunities for better implementations of machine learning models. Machine learning and embedded systems together now form a field of research which tackles leading edge problems in machine learning, algorithm engineering, and embedded systems. Machine learning today needs to make the resource demands of learning and inference meet the resource constraints of used computer architecture and platforms. A large variety of algorithms for the same learning method and, moreover, diverse implementations of an algorithm for particular computing architectures optimize learning with respect to resource efficiency while keeping some guarantees of accuracy. The trade-off between a decreased energy consumption and an increased error rate, to just give an example, needs to be theoretically shown for training a model and the model inference. Pruning and quantization are ways of reducing the resource requirements by either compressing or approximating the model. In addition to memory and energy consumption, timeliness is an important issue, since many embedded systems are integrated into large products that interact with the physical world. If the results are delivered too late, they may have become useless. As a result, real-time guarantees are needed for such systems. To efficiently utilize the available resources, e.g., processing power, memory, and accelerators, with respect to response time, energy consumption, and power dissipation, different scheduling algorithms and resource management strategies need to be developed. This book series addresses machine learning under resource constraints as well as the application of the described methods in various domains of science and engineering. Turning big data into smart data requires many steps of data analysis: methods for extracting and selecting features, filtering and cleaning the data, joining heterogeneous sources, aggregating the data, and learning predictions need to scale up. The algorithms are challenged on the one hand by high-throughput data, gigantic data sets like in astrophysics, on the other hand by high dimensions like in genetic data. Resource constraints are given by the relation between the demands for processing the data and the capacity of the computing machinery. The resources are runtime, memory, communication, and energy. Novel machine learning algorithms are optimized with regard to minimal resource consumption. Moreover, learned predictions are applied to program executions in order to save resources. The three books will have the following subtopics: Volume 1: Machine Learning under Resource Constraints - Fundamentals Volume 2: Machine Learning and Physics under Resource Constraints - Discovery Volume 3: Machine Learning under Resource Constraints - Applications Volume 1 establishes the foundations of this new field (Machine Learning under Resource Constraints). It goes through all the steps from data collection, their summary and clustering, to the different aspects of resource-aware learning, i.e., hardware, memory, energy, and communication awareness. Several machine learning methods are inspected with respect to their resource requirements and how to enhance their scalability on diverse computing architectures ranging from embedded systems to large computing clusters.
