Xiaofeng Xu – författare

Advanced Thermal Storage Technologies for Sustainable Energy Applications explores the forefront of thermal storage technologies for renewable energy applications. Authored by a team of experts in the field, this book encapsulates the most significant scientific contributions and contents that offer detailed insights into various thermal storage methods and their applications. From advanced materials in thermal storage to innovations in solid-solid latent thermal storage, each chapter presents cutting-edge research and case studies that push the boundaries of sustainable energy solutions. This detailed exploration of thermal energy storage begins with an introduction to thermal storage for renewables, followed by discussions on advanced materials, sensible molten-salt thermal storage, and solid-solid latent thermal storage. The book covers sorption thermal storage technology, thermochemical heat storage advancements, and integration with phase change materials. With a comprehensive overview of heat-pump-integrated thermal storage and Carnot battery systems, readers gain a deep understanding of optimizing energy storage for low-grade heat recovery applications. The conclusion and future outlook section provides valuable insights into the evolving landscape of thermal storage technologies.Advanced Thermal Storage Technologies for Sustainable Energy Applications caters to a diverse audience of researchers, engineers, and policymakers seeking to enhance their knowledge in renewable energy utilization. The book addresses the pressing need for updated resources in the face of rapid technological advancements and the increasing emphasis on energy efficiency and sustainability. By offering a holistic view of thermal storage methods and practical applications, this book equips readers with the tools to navigate the complexities of thermal energy storage technology and implement effective solutions in the ever-evolving renewable energy sector.

The authors analyze how the structure of a package determines its developmental complexity according to such measures as bug search times and documentation information content. The work presents arguments for why these issues impact solution cost and time more than does scalable performance. The final chapter explores the question of scalable execution and shows how scalable design relates to scalable execution. The book's focus is on program organization, which has received considerable attention in the broader software engineering community, where graphical description standards for modeling software structure and behavior have been developed by computer scientists. These discussions might be enriched by engineers who write scientific codes. This book aims to bring such scientific programmers into discussion with computer scientists. The authors do so by introducing object-oriented software design patterns in the context of scientific simulation.

The authors analyze how the structure of a package determines its developmental complexity according to such measures as bug search times and documentation information content. The work presents arguments for why these issues impact solution cost and time more than does scalable performance. The final chapter explores the question of scalable execution and shows how scalable design relates to scalable execution. The book's focus is on program organization, which has received considerable attention in the broader software engineering community, where graphical description standards for modeling software structure and behavior have been developed by computer scientists. These discussions might be enriched by engineers who write scientific codes. This book aims to bring such scientific programmers into discussion with computer scientists. The authors do so by introducing object-oriented software design patterns in the context of scientific simulation.

These conference proceedings focus on the topic of decision-making under uncertainty, smart decisions, management simulation and their applications in operations management for power and logistics companies. The Beijing University of Chemical Technology organized IFDS2015, the 3rd International Forum on Decision Sciences, with this year's theme being “Decision Making under Uncertainty”. The proceedings collect 7 selected papers presenting the cutting-edge modeling and solution methods and including numerous practical case studies, which are of interest for researchers and practitioners alike. Teachers, students and practitioners working in the fields of decision science, operations research, management science and engineering will benefit from the valuable findings presented in this book.

These conference proceedings focus on the topics of data-driven decision-making, stochastic decision-making, fuzzy decision-making and their applications in real-life problems. Beijing University of Chemical Technology organized IFDS2016, the 4th International Forum on Decision Sciences, with the theme “Data-Driven Decision-Making.” The proceedings collect 84 selected papers presenting cutting-edge modeling and solution methods and include numerous practical case studies, making it a valuable resource for students, researchers and practitioners working in the fields of decision science, operations research, management science and engineering.

The proceedings volume consists of academic papers on decision-making under uncertainty, smart decision, stochastic optimization, management simulation and its applications. It presents some compelling and valuable results on the cutting-edge modeling methods and the practical case studies in the operations management process for power, transportation, and logistics companies.

These conference proceedings focus on the topic of decision-making under uncertainty, smart decisions, management simulation and their applications in operations management for power and logistics companies. The Beijing University of Chemical Technology organized IFDS2015, the 3rd International Forum on Decision Sciences, with this year's theme being “Decision Making under Uncertainty”. The proceedings collect 7 selected papers presenting the cutting-edge modeling and solution methods and including numerous practical case studies, which are of interest for researchers and practitioners alike. Teachers, students and practitioners working in the fields of decision science, operations research, management science and engineering will benefit from the valuable findings presented in this book.

The proceedings volume consists of academic papers on decision-making under uncertainty, smart decision, stochastic optimization, management simulation and its applications.

The proceedings focus on selected aspects of the current and upcoming trends in transportation, logistics and decision-making. In detail the included scientific papers analyze the problem of Decision Making under Uncertainty, Stochastic Optimization, Transportation, Logistics and Intelligent Business.

The proceedings focus on selected aspects of the current and upcoming trends in transportation, logistics and decision-making. In detail the included scientific papers analyze the problem of Decision Making under Uncertainty, Stochastic Optimization, Transportation, Logistics and Intelligent Business.

These proceedings focus on selected aspects of the current and upcoming trends in transportation, logistics, supply chain management, and decision sciences. In detail the included scientific papers analyze the problem of Decision Making under Uncertainty, Stochastic Optimization, Transportation, Logistics and Intelligent Business.

These proceedings focus on selected aspects of the current and upcoming trends in transportation, logistics, supply chain management, and decision sciences. In detail the included scientific papers analyze the problem of Decision Making under Uncertainty, Stochastic Optimization, Transportation, Logistics and Intelligent Business.

This book focuses on selected aspects of the current and upcoming trends in transportation, logistics and decision-making, which comes from the selected articles on the Eighth International Forum on Decision Sciences held in Kunming, China, in 2020.

This book focuses on selected aspects of the current and upcoming trends in transportation, logistics and decision making. In detail the included transportation management, optimization and management of logistics system, big data technology and method, financial engineering and risk management, investment decision and risk management, data-driven process management decision, scheduling optimization and combination decision, theory and method of forecasting and decision making, data mining and knowledge management, operation and green supply chain management, industrial engineering and operation management, information system and business intelligence, Internet + green manufacturing, strategic emerging industries and Industrial finance, big data and smart city. The variety of the papers delivers added value for both scholars and practitioners. This book is the documentation of International Conference on Intelligent Transportation and Logistics with Big Data & International Forum onDecision Sciences, which took place in Harbin, Heilongjiang province, China, in 2022.

This book focuses on selected aspects of the current and upcoming trends in transportation, logistics and decision making. In detail the included transportation management, optimization and management of logistics system, big data technology and method, financial engineering and risk management, investment decision and risk management, data-driven process management decision, scheduling optimization and combination decision, theory and method of forecasting and decision making, data mining and knowledge management, operation and green supply chain management, industrial engineering and operation management, information system and business intelligence, Internet + green manufacturing, strategic emerging industries and Industrial finance, big data and smart city. The variety of the papers delivers added value for both scholars and practitioners. This book is the documentation of International Conference on Intelligent Transportation and Logistics with Big Data & International Forum onDecision Sciences, which took place in Harbin, Heilongjiang province, China, in 2022.

This book focuses on selected aspects of the current and upcoming trends in transportation, logistics, and decision-making. In detail, the included transportation management, optimization and management of logistics system, big data technology and method, financial engineering and risk management, investment decision and risk management, data-driven process management decision, scheduling optimization and combination decision, theory and method of forecasting and decision-making, data mining and knowledge management, operation and green  supply chain management, industrial engineering and operation management, information system and business intelligence, Internet + green manufacturing, strategic emerging industries and industrial finance, big data, and smart city. The variety of the papers delivers added value for both scholars and practitioners. This book is the documentation of the symposium “The Eleventh International Forum on Decision Sciences,” which took place in Qingdao, Shandong Province, China.