Agrivoltaics, also called agricultural-photovoltaics (Agri-PV or APV), integrates solar power generation into an agricultural activity on farmland.
The PV modules not only generate clean energy, but also shield crops from intense sun, drought or wind erosion. The market potential in EU-27, UK, and Switzerland alone is estimated to be 968 GWp if only 1 % of the utilized agricultural area is used for Agri-PV. Interest is swiftly growing amongst scientists, policy makers, and within the farming and energy industries. The challenges lie in the construction of the PV system, choice and...
Agrivoltaics, also called agricultural-photovoltaics (Agri-PV or APV), integrates solar power generation into an agricultural activity on farmland....
Key to the further growth of shares of renewables is their integration with the existing grid system including EV and sector coupling. This in turn requires technical developments to enable flexibility and dispatch. Approaches to meeting these challenges include hybridization of different distributed energy resources, forecasting and control, storage and demand response, and modelling. Technological advances are also being accompanied by changes in business models.
The first edition of this book for researchers in academia, power industry and at grid operators presented an overview...
Key to the further growth of shares of renewables is their integration with the existing grid system including EV and sector coupling. This in turn...
Rising shares of renewable energy are needed to stave off catastrophic climate change, but also bring about the challenge of intermittency, jeopardizing power quality. Instead of large central generation units, many distributed generators and loads need to be managed in order to integrate renewable energy with power systems.
Artificial intelligence (AI) can meet this challenge with adaptive control and demand side management. When managing distributed and changing network components, AI can give control computers human-level performance, helping to solve key issues with...
Rising shares of renewable energy are needed to stave off catastrophic climate change, but also bring about the challenge of intermittency, jeopard...
Fuzzy models have the capability of recognising, representing, and working with data that is vague or lacks certainty, making them suitable for managing electrical energy systems involving intermittent distributed generation and varying distributed loads.
The second edition of Fuzzy Logic Control in Energy Systems has been revised and updated with new topics including shade and integration issues in PV, microgrids, cybersecurity in power systems, and day-ahead estimation of sun and wind data. Starting with a review of fuzzy logic, chapters cover fuzzy sets and partitioning,...
Fuzzy models have the capability of recognising, representing, and working with data that is vague or lacks certainty, making them suitable for man...
The transmission and distribution of electric power is based on complex interconnected power systems. Every interconnected system can split up into several subsystems due to faults, maloperation or targeted switching.
The questions then arise whether these subsystems are survivable, and whether the size of these subsystems are random or predefined, and under which conditions can these isolated subsystems operate in a stable manner. Due to the energy transition, more renewable generation units are installed in the distribution grid, facilitating local intended isolated grids, but also...
The transmission and distribution of electric power is based on complex interconnected power systems. Every interconnected system can split up into...
Energy provision for low income or remote communities is a difficult challenge, with many still depending on polluting and costly fossil fuels. Transporting energy is a further problem since some communities are only accessible during brief periods of the year. Local energy generation is a key solution, but technical challenges need to be overcome.
This hands-on treatise explores technologies and approaches for accelerating deployment of accessible clean energy and discusses obstacles hindering that deployment. The primary focus is on engineering topics, although contributions from...
Energy provision for low income or remote communities is a difficult challenge, with many still depending on polluting and costly fossil fuels. Tra...
Today, more than half the global population lives in cities, and two thirds are expected to do so by 2050. Cities need technologies to reduce greenhouse gas emissions from energy, transport and heating, which requires distributed renewable electricity, from rooftop solar, small wind and other sources, in order to cleanly generate enough electricity to meet cities' needs. However, most urban electricity grids were not designed to manage distributed energy generation and the benefits of smart grids. Distribution systems therefore need to be strengthened and updated with the new technology...
Today, more than half the global population lives in cities, and two thirds are expected to do so by 2050. Cities need technologies to reduce green...
Smart grids enable efficient integration of rising shares of distributed and intermittent renewable power generation at various scales, and variable loads, for example from electric vehicles. This requires sophisticated communication and computation, as well as monitoring and protection from both malfunctions and malicious interference.
Control, Communication, Monitoring and Protection of Smart Grids summarises recent developments in the field. It begins by reviewing the principles of smart grids and microgrids, and their relation to renewables and power electronics. Ensuing...
Smart grids enable efficient integration of rising shares of distributed and intermittent renewable power generation at various scales, and variabl...
A metaheuristic is a higher-level procedure designed to find, generate, or select a heuristic or partial search algorithm that may provide a sufficiently good solution to an optimization problem with incomplete or imperfect information or limited computation capacity. Metaheuristics can often find good solutions with less computational effort than other algorithms. Modern and emerging power systems, with the growing complexity of distributed and intermittent generation and EV charging, are an application for such methods.
The new edition of Metaheuristic Optimization in Power...
A metaheuristic is a higher-level procedure designed to find, generate, or select a heuristic or partial search algorithm that may provide a suffic...
A metaheuristic is a higher-level procedure designed to find, generate, or select a heuristic or partial search algorithm that may provide a sufficiently good solution to an optimization problem with incomplete or imperfect information or limited computation capacity. Metaheuristics can often find good solutions with less computational effort than other algorithms. Modern and emerging power systems, with the growing complexity of distributed and intermittent generation and EV charging, are an application for such methods.
The new edition of Metaheuristic Optimization in Power...
A metaheuristic is a higher-level procedure designed to find, generate, or select a heuristic or partial search algorithm that may provide a suffic...
