Tian Zhao – författare

Advanced Modeling, Analysis and Optimization of Thermal and Integrated Energy Systems presents groundbreaking research on the innovative "heat current method" for precise and efficient modelling of thermodynamic systems. The book offers a comprehensive exploration of integrated power-thermal systems, emphasizing holistic optimization strategies crucial for sustainable energy transitions. Authored by experts in the field, this book is a valuable resource for researchers and professionals seeking advanced methodologies in thermal engineering and energy system optimization. The book begins with an introduction that outlines the challenges faced by thermodynamic systems in the renewable energy transition. It progresses to explore the fundamentals of modelling and optimizing thermodynamic and integrated thermal-power systems, introducing the novel heat current method and its application. The subsequent chapters delve into the heat current method for thermodynamic system modelling, efficient simulation and optimization of thermodynamic systems, holistic modelling and analysis of integrated power-thermal systems, and coordinating flexibility and efficiency for renewable energy accommodation.Advanced Modeling, Analysis and Optimization of Thermal and Integrated Energy Systems offers valuable insights and practical solutions for a diverse audience of researchers, engineers, and energy professionals. Researchers and students working in thermal engineering, and sustainable energy will benefit from the novel methodologies and holistic approaches presented in this book. Engineers and professionals working in the energy sector, particularly those involved in system optimization and renewable energy integration, will find this book essential for advancing knowledge and best practices.Introduces a novel heat current method for the accurate and efficient modeling of thermodynamic systemsExplores the holistic modeling and optimization of integrated power and thermal systems to enhance flexibilityDiscusses a spatiotemporal coordination principle for optimal resource management in distributed energy systemsAnalyzes current studies and provides a systematic review of modeling and analysis methods for thermodynamic systemsEvaluates the practical implementation and direct applicability of advanced techniques for renewable energy transitions

This book presents a step by step Asset Health Management Optimization Approach Using Internet of Things (IoT). The authors provide a comprehensive study which includes the descriptive, diagnostic, predictive, and prescriptive analysis in detail. The presentation focuses on the challenges of the parameter selection, statistical data analysis, predictive algorithms, big data storage and selection, data pattern recognition, machine learning techniques, asset failure distribution estimation, reliability and availability enhancement, condition based maintenance policy, failure detection, data driven optimization algorithm, and a multi-objective optimization approach, all of which can significantly enhance the reliability and availability of the system.

This book presents a step by step Asset Health Management Optimization Approach Using Internet of Things (IoT). The authors provide a comprehensive study which includes the descriptive, diagnostic, predictive, and prescriptive analysis in detail. The presentation focuses on the challenges of the parameter selection, statistical data analysis, predictive algorithms, big data storage and selection, data pattern recognition, machine learning techniques, asset failure distribution estimation, reliability and availability enhancement, condition based maintenance policy, failure detection, data driven optimization algorithm, and a multi-objective optimization approach, all of which can significantly enhance the reliability and availability of the system.

This book covers key issues related to Geospatial Semantic Web, including geospatial web services for spatial data interoperability; geospatial ontology for semantic interoperability; ontology creation, sharing, and integration; querying knowledge and information from heterogeneous data source; interfaces for Geospatial Semantic Web, VGI (Volunteered Geographic Information) and Geospatial Semantic Web; challenges of Geospatial Semantic Web; and development of Geospatial Semantic Web applications. This book also describes state-of-the-art technologies that attempt to solve these problems such as WFS, WMS, RDF, OWL and GeoSPARQL and demonstrates how to use the Geospatial Semantic Web technologies to solve practical real-world problems such as spatial data interoperability.