Modeling Practice And Mechanism Design Of Green Energy Systems Towards Sustainable Development
Download Modeling Practice And Mechanism Design Of Green Energy Systems Towards Sustainable Development PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Modeling Practice And Mechanism Design Of Green Energy Systems Towards Sustainable Development book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Modeling Practice and Mechanism Design of Green Energy Systems towards Sustainable Development
The sustainable development of energy has become a global concern. The energy system, as an extremely important module for production, conversion, transmission, and supply in the energy industry, is facing pressure from deep decarbonization and green transformation. The application of wind power, photovoltaic, hydrogen energy, power-to-gas (P2G) technology, carbon capture, utilization and storage (CCUS) technology will help the energy system achieve the Sustainable Development Goals. Hydrogen energy will become a bridge for various energy conversion, promoting the high-speed flow of green energy. Therefore, modeling practice and mechanism design for green energy systems will become a key area of academic research. The full utilization and consumption of renewable energy generation (e.g., wind and photovoltaic) still face difficulties and challenges, especially the problem of full consumption. The development and layout of multi-energy complementarity, coupling and interaction, and collaborative integrated energy systems can effectively solve the above problems. Therefore, there is an urgent need to study the mechanism, planning and design, optimized operation, development mode, carbon emission reduction, energy policies, and trading mechanisms of integrated energy systems coupled with renewable energy generation and hydrogen energy, to promote its further development and help achieve a clean and sustainable future. This field will integrate the knowledge and methodology from energy science, power electronics, management science and economics.
Computer Vision and Machine Intelligence for Renewable Energy Systems
Computer Vision and Machine Intelligence for Renewable Energy Systems offers a practical, systemic guide to the use of computer vision as an innovative tool to support renewable energy integration.This book equips readers with a variety of essential tools and applications: Part I outlines the fundamentals of computer vision and its unique benefits in renewable energy system models compared to traditional machine intelligence: minimal computing power needs, speed, and accuracy even with partial data. Part II breaks down specific techniques, including those for predictive modeling, performance prediction, market models, and mitigation measures. Part III offers case studies and applications to a wide range of renewable energy sources, and finally the future possibilities of the technology are considered. The very first book in Elsevier's cutting-edge new series Advances in Intelligent Energy Systems, Computer Vision and Machine Intelligence for Renewable Energy Systems provides engineers and renewable energy researchers with a holistic, clear introduction to this promising strategy for control and reliability in renewable energy grids. - Provides a sorely needed primer on the opportunities of computer vision techniques for renewable energy systems - Builds knowledge and tools in a systematic manner, from fundamentals to advanced applications - Includes dedicated chapters with case studies and applications for each sustainable energy source
Introduction to System Dynamics
"Introduction to System Dynamics" is an insightful guide to understanding complex systems, such as businesses and ecosystems. We explore how these systems function, focusing on feedback loops, time delays, and non-linear relationships. We provide a systematic approach to analyzing these intricate systems using causal loop diagrams and stock-and-flow diagrams, helping readers visualize the interactions between different system components. Written clearly and supported by real-world examples, this book is valuable for both beginners and experienced professionals. We emphasize the importance of considering the entire system, rather than just individual parts, to find better solutions to problems. System dynamics is applicable in various areas, including business, government, and healthcare. By understanding these complex systems, we can make informed decisions about critical issues. "Introduction to System Dynamics" remains a classic resource, equipping readers with the tools they need to understand and manage the complex world around them.