Jingzheng Ren – författare

Biofuels for a More Sustainable Future: Life Cycle Sustainability Assessment and Multi-criteria Decision Making provides a comprehensive sustainability analysis of biofuels based on life cycle thinking and develops various multi-dimensional decision-making techniques for prioritizing biofuel production technologies. Taking a transversal approach, the book combines life cycle sustainability assessment, life cycle assessment, life cycle costing analysis, social life cycle assessment, sustainability metrics, triple bottom line, operations research methods, and supply chain design for investigating the critical factors and key enablers that influence the sustainable development of biofuel industry.

This book will equip researchers and policymakers in the energy sector with the scientific methodology and metrics needed to develop strategies for viable sustainability transition. It will be a key resource for students, researchers and practitioners seeking to deepen their knowledge on energy planning and current and future trends of biofuel as an alternative fuel.

Provides an innovative approach to promoting sustainable development in biofuel production by linking supply chain design and decision support with the life cycle perspective Features case studies and examples that illustrate the theory and methods developed Includes material on corporate social responsibility and economic analysis of biofuels that is highly useful to policy-makers and administrators in both government and enterprise sectors

Waste-to-Energy: Multi-criteria Decision Analysis for Sustainability Assessment and Ranking offers a comprehensive view of the technologies and processes for energy generation as a path for waste treatment, presenting all the necessary information and tools for selecting the most sustainable waste-to-energy solution under varying conditions. The book combines methods such as lifecycle assessment, sustainability assessment, multi-criteria decision-making, and multi-objective optimization modes. In addition, it provides an overview of waste-to-energy feedstocks, technologies and implementation, then goes on to investigate the critical factors and key enablers that influence the sustainable development of the waste-to-energy industry.

The book proposes several decision-making methods for the ranking and selection of waste-to-energy scenarios under different levels of certainty and information availability, including multi-criteria, multi-actor and multi-attribute methods. Finally, the book employs lifecycle tools that allow the assessment of economic, environmental and social sustainability of waste-to-energy systems.

Explores existing and state-of-the-art waste to energy technologies and systems, as well as their feedstock requirements Presents a wide perspective of sustainability issues of waste-to-energy technologies, also discussing critical influential factors or key enablers for promoting the sustainable development of waste-to-energy solutions Provides multi-dimensional decision-making techniques for choosing the most suitable and sustainable waste-to-energy technologies for different scenarios

Life Cycle Sustainability Assessment for Decision-Making: Methodologies and Case Studies gives readers a comprehensive introduction to life cycle sustainability assessment (LCSA) methodology for sustainability measurement of industrial systems, proposing an efficiency methodology for stakeholders and decision-makers. Featuring the latest methods and case studies, the book will assist researchers in environmental sciences and energy to develop the best methods for LCA, as well as aiding those practitioners who are responsible for making decisions for promoting sustainable development.

The past, current status and future of LCSA, Life Cycle Assessment method (LCA), Life Cycle Costing (LCC), Social Life Cycle Assessment (SLCA), the methodology of LCSA, typical LCSA case studies, limitations of LCSA, and life cycle aggregated sustainability index methods are all covered in this multidisciplinary book.

Includes models for assessing sustainability in environmental, energy engineering and economic scenarios Features case studies that help define the advantages and obstacles of real world applications Presents a complete view, from theory to practice, of a life cycle approach by exploring the methods and tools of sustainability assessment, analysis and design of sustainability assessment

Towards Sustainable Chemical Processes describes a comprehensive framework for sustainability assessment, design and the processes optimization of chemical engineering. Beginning with the analysis and assessment in the early stage of chemical products' initiating, this book focuses on the combination of science sustainability and process system engineering, involving mathematical models, industrial ecology, circular economy, energy planning, process integration and sustainability engineering.All chapters throughout answered two fundamental questions in depth: (1) what tools and models are available to be used to assess and design sustainable chemical processes, (2) what the core theories and concepts are to get into the sustainable chemical process fields. Therefore, Towards Sustainable Chemical Processes is an indispensable guide for chemical engineers, researchers, students, practitioners and consultants in sustainability related area. Provides innovative, novel and comprehensive methods and models for sustainability assessment, design and optimization, and synthesis and integration of chemical engineering processes Combines sustainability science with process system engineering Integrates mathematical models, industrial ecology, circular economy, energy planning, process integration and sustainability engineering Includes new case studies related to renewable energy, resource management, process synthesis and process integration

In order to promote the sustainable development of renewable energy and renewable-energy-driven technologies, Renewable-Energy-Driven Future: Technologies, Modelling, Applications, Sustainability and Policies provides a comprehensive view of the advanced renewable technologies and the benefits of utilizing renewable energy sources.Discussing the ways for promoting the sustainable development of renewable energy from the perspectives of technology, modelling, application, sustainability and policy, this book includes the advanced renewable-energy-driven technologies, the models for renewable energy planning and integration, the innovative applications of renewable energy sources, decision-support tools for sustainability assessment and ranking of renewable energy systems, and the regulations and policies of renewable energy.This book can benefit the researchers and experts of renewable energy by helping them to have a holistic view of renewable energy. It can also benefit the policymakers and decision-makers by helping them to make informed decisions. Presents the advanced renewable-energy-driven technologies and the innovative applications of renewable energy sources Develops the models for the efficient use of renewable energy, decision-making and the investigation of its climate and economic benefits Investigates the sustainability of renewable energy systems Features the regulations and policies of renewable energy

Applications of Artificial Intelligence in Process Systems Engineering offers a broad perspective on the issues related to artificial intelligence technologies and their applications in chemical and process engineering. The book comprehensively introduces the methodology and applications of AI technologies in process systems engineering, making it an indispensable reference for researchers and students. As chemical processes and systems are usually non-linear and complex, thus making it challenging to apply AI methods and technologies, this book is an ideal resource on emerging areas such as cloud computing, big data, the industrial Internet of Things and deep learning.

With process systems engineering's potential to become one of the driving forces for the development of AI technologies, this book covers all the right bases.

Explains the concept of machine learning, deep learning and state-of-the-art intelligent algorithms Discusses AI-based applications in process modeling and simulation, process integration and optimization, process control, and fault detection and diagnosis Gives direction to future development trends of AI technologies in chemical and process engineering

Waste to Renewable Biohydrogen: Volume 1: Advances in Theory and Experiments provides a comprehensive overview of the advances, processes and technologies for waste treatment to hydrogen production. It introduces and compares the most widely adopted and most promising technologies, such as dark fermentation, thermochemical and photosynthetic processes. In this part, potential estimation, feasibility analysis, feedstock pretreatment, advanced waste-to-biohydrogen processes and each individual systems element are examined.

The book delves into the theoretical and experimental studies for the design and optimization of different waste-to-biohydrogen processes and systems. Covering several advanced waste-to-biohydrogen pretreatment and production processes, this book investigates the future trends and the promising pathways for biohydrogen production from waste.

Discusses the potential, feasibility, progress, challenges and prospect of waste-to-biohydrogen technologies Explores the most promising waste-to-biohydrogen technologies including dark fermentation, thermochemical and photosynthetic processes Investigate the mechanisms and the effects of the influential factors on different waste-to-biohydrogen processes

Waste to Renewable Biohydrogen, Volume Two: Numerical Modelling and Sustainability Assessment provides an integrated approach on the experimental, modeling and sustainability aspects of waste-to-biohydrogen systems. The book focuses on processes for waste treatment to hydrogen production, delving into modeling and simulation methodologies for the design and optimization of different processes and systems. In addition, it looks at the application of computational fluid dynamics and artificial neural networks. Finally, it addresses the economic, environmental and sustainability implications of waste-to-biohydrogen systems, covering several techniques for cost-benefit analysis, techno-economic analysis, lifecycle assessment, sustainability ranking and supply chain design.

This well-rounded reference supports decision-making for energy researchers and industry practitioners alike, but it is also ideal for graduate students, early career researchers and waste management professionals.

Includes numerical simulation models for environmental performances and sustainable supply chains Explores modeling methodologies for the optimization and upscaling of sustainable technologies and systems Offers global case studies and comparisons of different feedstocks

Methods in Sustainability Science: Assessment, Prioritization, Improvement, Design and Optimization presents cutting edge, detailed methodologies needed to create sustainable growth in any field or industry, including life cycle assessments, building design, and energy systems. The book utilized a systematic structured approach to each of the methodologies described in an interdisciplinary way to ensure the methodologies are applicable in the real world, including case studies to demonstrate the methods. The chapters are written by a global team of authors in a variety of sustainability related fields.

Methods in Sustainability Science: Assessment, Prioritization, Improvement, Design and Optimization will provide academics, researchers and practitioners in sustainability, especially environmental science and environmental engineering, with the most recent methodologies needed to maintain a sustainable future. It is also a necessary read for postgraduates in sustainability, as well as academics and researchers in energy and chemical engineering who need to ensure their industrial methodologies are sustainable.

Provides a comprehensive overview of the most recent methodologies in sustainability assessment, prioritization, improvement, design and optimization Sections are organized in a systematic and logical way to clearly present the most recent methodologies for sustainability and the chapters utilize an interdisciplinary approach that covers all considerations of sustainability Includes detailed case studies demonstrating the efficacies of the described methods

Hydrogen Economy: Supply Chain, Life Cycle Analysis and Energy Transition for Sustainability, Second Edition explores the challenges for the transition into a sustainable hydrogen economy. In this book, experts from various academic backgrounds discuss the tools and methodologies for the analysis, planning, design, and optimization of hydrogen supply chains. They examine the available technologies for hydrogen production, storage, transport, distribution, and energy conversion, providing a cross cutting perspective on their sustainability.This second edition of Hydrogen Economy is fully updated with new technologies and tools for design, optimization, assessment, and decision-making, and includes twelve new chapters divided into two new sections. Section III examines advanced hydrogen routines and technologies, including fuel cells and hybrid electric vehicles, new storage technologies, and biohydrogen production from waste, allowing for a more complete life cycle assessment of the entire supply chain. Section IV provides new insights into policy and future developments, discussing the role of Grey, Blue, and Green hydrogen in the energy transition, the application of hydrogen in decarbonization of heavy industry, hydrogen safety, and more, substantially broadening the scope of the 2nd Edition.Providing a broad overview of the subject and well-recognized tools to manage hydrogen sustainability, Hydrogen Economy Second Edition is an invaluable resource for engineering researchers and PhD students in energy, environmental and industrial areas, energy economy researchers, practicing hydrogen energy engineers and technicians, energy and environmental consultants, life cycle assessment practitioners and consultants. Provides a broad perspective of the issues related to environmental, social and economic sustainability of hydrogen energy and its future perspectives Presents the current applied research and available tools for managing and assessing hydrogen energy sustainability, such as LCA, optimization, multi-criteria decision making and supply chain optimization Explores how experts in the field handle all issues related to the application of life cycle assessment for hydrogen production, storage, transport, distribution, safety, and end use

Advanced Waste Valorization for Circular Economy: Chemical Process Design and Simulation is an essential guide for chemical process design, simulation, optimization, and sustainability assessment within waste volarization. The book covers chemical process design, simulation, optimization, sustainability assessment, decision-making processes, Industry 4.0 technology applications, and circular supply chain design. Additionally, it delves into advanced waste valorization technologies for various waste types, including industrial, municipal, medical, plastic, agricultural, and food waste. Users will find up-to-date resources for industry professionals, researchers, academics, and students to understand circular process design and its real-life implementations.The book includes learning objectives, case studies, step-by-step methodologies and review exercises in each chapter to help students and researchers alike deepen and test their understanding of crucial aspects of sustainable waste valorization. This book is suitable for a very broad audience, including chemical engineering professionals such as professors, researchers, chemical engineers, and industry experts, particularly those engaged in process systems engineering, intelligent manufacturing, intelligent process control, advanced waste management, and renewable energy.Provides a comprehensive framework for advanced waste valorization technologies in the circular economy, reviewing common waste valorization technologies, principles, and basic working flow, methods, and algorithmsIncludes decision-making recommendations tailored to different situations case studies, section optimization, and directions for advanced waste valorization technologiesPresents learning objective sections and review exercises throughout the book to assist students and academics with testing their knowledge of novel conceptsCovers step-by-step methodologies and frameworks for the process analysis and evaluation of waste valorization technologies, covering feasibility analysis, techno-economic analysis, energy and material flow analysis, carbon footprint analysis, and environmental impact assessments

China is the second-largest economy in the world yet it faces serious energy security challenges due to the country's reliance on coal, a fuel with multiple environmental and social problems. Moreover, since 2017 China has become the world's largest crude oil importer, greatly increasing its reliance on imported energy.The International Energy Agency has defined energy security as "the uninterrupted availability of energy sources at an affordable price," employing metrics in various dimensions such as availability, affordability, accessibility and acceptability to measure the energy security of different nations. Accordingly, the assessment, analysis and improvement of energy security is a complex problem. China's Energy Security aims to resolve this problem by answering three important questions:

This book focuses on operations management methods for analysing complex systems from a system engineering perspective.

This book presents various multi-criteria analysis methods for sustainability-oriented analysis and decision-making for energy systems, under various different conditions and scenarios. It presents methodologies to answer the questions relating to which of the options are the most sustainable among the alternatives, and how multi-criteria decision analysis methods can be used to select the most sustainable energy systems.A systematic innovative methodological framework is presented, which enables the most appropriate energy system to be selected under different conditions including:Scientific decision support tools for sustainable energy system selection;Fuzzy, grey, and rough sets based multi-criteria decision analysis;Decision-making models under uncertainties; and The combination of life cycle thinking and multi-criteria decision analysis This book is of interest to researchers, engineers, decision makers, and postgraduate students within the field of energy systems, sustainability, and multi-criteria decision analysis.

This book presents various multi-criteria analysis methods for sustainability-oriented analysis and decision-making for energy systems, under various different conditions and scenarios. It presents methodologies to answer the questions relating to which of the options are the most sustainable among the alternatives, and how multi-criteria decision analysis methods can be used to select the most sustainable energy systems.A systematic innovative methodological framework is presented, which enables the most appropriate energy system to be selected under different conditions including:Scientific decision support tools for sustainable energy system selection;Fuzzy, grey, and rough sets based multi-criteria decision analysis;Decision-making models under uncertainties; and The combination of life cycle thinking and multi-criteria decision analysis This book is of interest to researchers, engineers, decision makers, and postgraduate students within the field of energy systems, sustainability, and multi-criteria decision analysis.

This book presents various methods for sustainability assessment of energy systems, under various different conditions and scenarios.

This book presents various methods for sustainability assessment of energy systems, under various different conditions and scenarios.

This book presents various methodologies for determining the ecological footprint, carbon footprint, water footprint, nitrogen footprint, and life cycle environment impacts and illustrates these methodologies through various applications.

This book presents various methodologies for determining the ecological footprint, carbon footprint, water footprint, nitrogen footprint, and life cycle environment impacts and illustrates these methodologies through various applications.

This book provides in-depth guidance on how to use multi-criteria decision analysis methods for risk assessment and risk management. The frontiers of engineering operations management methods for identifying the risks, investigating their roles, analyzing the complex cause-effect relationships, and proposing countermeasures for risk mitigation are presented in this book. There is a total of ten chapters, mainly including the indicators and organizational models for risk assessment, the integrated Bayesian Best-Worst method and classifiable TOPSIS model for risk assessment, new risk prioritization model, fuzzy risk assessment under uncertainties, assessment of COVID-19 transmission risk based on fuzzy inference system, risk assessment and mitigation based on simulation output analysis, energy supply risk analysis, risk assessment and management in cash-in-transit vehicle routing problems, and sustainability risks of resource-exhausted cities. The most significant feature of this book is that it provides various systematic multi-criteria decision analysis methods for risk assessment and management, and illustrates the application of these methods in different fields. This book is beneficial to policymakers, decision-makers, experts, researchers and students related to risk assessment and management.

This book provides in-depth guidance on how to use multi-criteria decision analysis methods for risk assessment and risk management. The frontiers of engineering operations management methods for identifying the risks, investigating their roles, analyzing the complex cause-effect relationships, and proposing countermeasures for risk mitigation are presented in this book. There is a total of ten chapters, mainly including the indicators and organizational models for risk assessment, the integrated Bayesian Best-Worst method and classifiable TOPSIS model for risk assessment, new risk prioritization model, fuzzy risk assessment under uncertainties, assessment of COVID-19 transmission risk based on fuzzy inference system, risk assessment and mitigation based on simulation output analysis, energy supply risk analysis, risk assessment and management in cash-in-transit vehicle routing problems, and sustainability risks of resource-exhausted cities. The most significant feature of this book is that it provides various systematic multi-criteria decision analysis methods for risk assessment and management, and illustrates the application of these methods in different fields. This book is beneficial to policymakers, decision-makers, experts, researchers and students related to risk assessment and management.

This book aims to provide an in-depth description of circular economy and waste valorization, make assessments for circular economy and waste valorization in different regions and countries and determine thetechnological pathways and roadmap for achieving circular economy and waste valorization.

This book aims to provide an in-depth description of circular economy and waste valorization, make assessments for circular economy and waste valorization in different regions and countries and determine thetechnological pathways and roadmap for achieving circular economy and waste valorization.

This book explores the technical challenges and technological gaps in sustainable machining and micro-machining.

This book explores the technical challenges and technological gaps in sustainable machining and micro-machining. It underscores the critical role of sustainability in manufacturing, a sector pivotal to addressing global environmental challenges. As micro-manufacturing expands, it mirrors traditional manufacturing environmental impact, prompting the need for sustainable strategies. The book delves into methodologies such as network analysis, text mining, and classification algorithms to help readers understand the interplay between machining parameters, stakeholders, and sustainability factors. It concludes with an analysis of the current status and future prospects of sustainable machining and micro-machining. Additionally, it highlights the importance of integrating sustainable manufacturing to enhance efficiency, reduce resource consumption, and meet the increasing demands from society and stakeholders for environmentally responsible manufacturing solutions. Finally, the book examines the current status and future perspectives of sustainable machining and micro-machining, offering a comprehensive view of how industries can reformulate their approaches to ensure continuous development and sustainability.