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.

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.

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.

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.

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.

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.

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.

This book focuses on operations management methods for analysing complex systems from a system engineering perspective. It presents various advanced multi-criteria decision analysis methods for investigating factors that influence complex systems. In turn, it shows how to improve systems’ performance, including their competitiveness, safety, and sustainability. The book also draws on examples of typical virtual systems such as tourism, aviation maintenance, and waste-to-wealth systems to illustrate the operations management methods discussed. Cases from day-to-day life are used to elicit heuristic questions on the operations management methods presented in each chapter. 

The book will help researchers, operations managers, and engineers alike to understand the latest advances in operations management methods for analysing complex systems from the standpoint of system engineering. 

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:

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.