Zafar Said – författare

Hybrid Nanofluids: Preparation, Characterization and Applications presents the history of hybrid nanofluids, preparation techniques, thermoelectrical properties, rheological behaviors, optical properties, theoretical modeling and correlations, and the effect of all these factors on potential applications, such as solar energy, electronics cooling, heat exchangers, machining, and refrigeration. Future challenges and future work scope have also been included. The information from this book enables readers to discover novel techniques, resolve existing research limitations, and create novel hybrid nanofluids which can be implemented for heat transfer applications. Describes the characterization, thermophysical and electrical properties of nanofluids Assesses parameter selection and property measurement techniques for the calibration of thermal performance Provides information on theoretical models and correlations for predicting hybrid nanofluids properties from experimental properties

Nano-refrigerants and Nano-lubricants: Fundamentals and Applications provides an overview of nano-refrigerants and nano-lubricants, their synthesis, characterization, and influence of nanoparticles on the thermophysical properties. The book also describes the theoretical modeling and correlations using artificial intelligence, along with the effect of all these parameters on potential applications. Future challenges and research directions are thoroughly addressed by authors.Nano-refrigerants and Nano-lubricants are a novel class of nanofluids containing a mixture of nanoparticles, lubricant, and refrigerant, and because of their enhanced heat transfer properties, they have a broad potential range of residential and commercial applications.

Summarizes preparation and characterization techniques for nano-refrigerants and nano-lubricantsExamines a selection of nanoparticles based on variation in thermophysical properties and includes theoretical models and correlations for predicting their propertiesFeatures stability analysis of nano-refrigerants and nano-lubricants

Nanofluids for Large-Scale Industrial Applications examines the challenges and current progress towards large-scale industrial application of nanofluids, summarizing and bringing together varied current research strands and providing potential solutions pertaining to the scientific, economic, and social barriers that currently exist.Opening with an introduction to nanofluid synthesis, types, and properties, this book traverses the potential large-scale applications and commercialisation of nanofluids in industrial heating/cooling, solar energy systems, refrigeration systems, automotive systems, and various chemical processes and manufacturing systems.This book provides knowledge of a vast area of applications of nanofluids in industries. Thus, it also has potential to encourage and trigger the minds of researchers to discover more about nanofluids, investigate the gaps, overcome the challenges, and provide future directions for newer applications and develop nanofluids further. The book is written chiefly for graduate/postdoc level students and researchers/academics teaching or studying in chemical and thermal engineering and who are focused on heat transfer enhancement, thermal energy, nanofluids, and nano-enhanced energy systems such as solar thermal systems.

Examines the challenges and current progress towards implementing large-scale industrial application of nanofluidsAddresses current gaps in research, explores challenges and controversies as well as weaknesses and strengths versus alternative solutionsAims to bridge the gap between fundamental research and potential industrial-scale utilization in the future by providing pathways towards convenient and sustainable scale-upMeets a need to compile all current information and knowledge from studies and research related to large-scale nanofluids applications in one single resource

Smart Cities and Sustainable Manufacturing: Innovations for a Greener Future explores the intersection of these two essential disciplines, underscoring the transformative potential of their integration in sculpting sustainable urban landscapes. By providing cutting-edge research, case studies, success stories, and practical guidance, this book facilitates knowledge sharing and collaboration and inspires stakeholders to implement sustainable and innovative solutions. Further, it illustrates how integrating smart cities and sustainable manufacturing can contribute to a greener future by investigating the role of emergent technologies, policy frameworks, business models, and more.This essential resource covers a range of topics related to smart cities and sustainable manufacturing, including technologies for smart cities, such as IoT, AI, big data analytics, and sensor networks; sustainable infrastructure design, such as green buildings, energy-efficient transportation systems, and renewable energy integration; circular economy and waste management strategies; sustainable transportation initiatives such as intelligent transportation systems, electric mobility solutions, and shared mobility services, and much more.Offers practical frameworks, methodologies, and tools readers can utilize to implement sustainable practices and drive positive change in their respective domainsFeatures real-world case studies from around the globe, highlighting successful-and less successful-examples of smart cities and sustainable manufacturing initiatives and showcasing the outcomes and lessons learnedBridges the gap between different disciplines, integrating knowledge from areas such as technology, urban planning, environmental science, and engineering for a holistic understanding of the subject matterExplores future trends and emerging technologies in smart cities and sustainable manufacturing, enabling readers to stay ahead of the curve and anticipate upcoming developments

Revolutionizing Heat Transfer: Nanofluids, Turbulators, and Machine Learning for Sustainable Energy Efficiency bridges the knowledge gap between traditional heat transfer enhancement techniques and innovative approaches employing nanofluids and turbulators. Users will find this to be an all-inclusive resource on the latest advancements in nanofluids, turbulators, and machine learning techniques for heat transfer enhancement that also includes detailed guidance on the synthesis, characterization, design, and optimization of these technologies. Using an interdisciplinary approach, this book serves as a valuable reference for researchers and practitioners working on heat transfer in energy applications and students studying related areas.There is a growing need for this resource as it addresses both the limitations of current heat transfer techniques while also providing sustainable solutions for a wide range of engineering applications.Presents the synthesis, properties, and characterization of nanofluids and the design, optimization, and performance evaluation of turbulatorsProvides insights into the mechanisms of heat transfer enhancement using nanofluids and turbulators, along with their applications in various heat transfer systemsOffers guidance on the environmental and economic impacts of nanofluids and turbulators, enabling readers to make informed decisions on their implementationHighlights the challenges and future prospects of nanofluids and turbulators in renewable energy systems, waste heat recovery, and energy storage systemsEquips readers with the knowledge to address safety concerns, regulatory challenges, and develop standards and guidelines for nanofluid and turbulator applications

Solar Stills for Sustainable Water Purification: Innovations, Policies, and Applications explores recent developments in solar distillation technology, highlighting the use of solar energy in the efficient production of clean water, combining renewable energy and water purifying methods to address water scarcity and related challenges in a sustainable way. The book begins by introducing the basic principles and connections between solar stills, solar energy, and water purification. Subsequent chapters offer in-depth coverage and analysis of design, mechanics, and maintenance, strategies for enhanced productivity, heat storage, thermal modeling and analysis, economic viability, machine learning for optimization, environmental impact, policy, legal, and regulatory aspects, social and community impact, and innovative applications and materials. Finally, emerging technologies, potential future enhancements, and research gaps are discussed. Within several chapters, case studies are used to practically illustrate applications and impacts of solar still technology, providing real-world context for the theoretical and technical content. This is a useful resource for all those with an interest in solar still technology, solar energy applications, water resource management, green technology, and environmental engineering, including researchers, advanced students, faculty, engineers, R&D, industry practitioners, and policy makers.Provides comprehensive information on the design, building, and functioning of solar stillsConnects advances in renewable energy with practical approaches to water purificationIntegrates theoretical modelling and the most recent advances in machine learning to improve efficiencyDiscusses key aspects such as energy/exergy analysis, economic viability, and policy developments

Thermofluids in Sustainable Energy Systems: Fundamentals and Applications is an essential reference that delves into the intricate realm of energy conversion, thermal science, and thermofluids, with a focus on sustainable energy systems. This book offers a comprehensive understanding of fundamental principles, up-to-date applications, and emerging innovations in the field of thermofluids, effectively bridging the gap between theory and practice. It aims to deliver a practical reference on thermodynamics, fluid mechanics, and heat transfer in sustainable energy systems. It equip readers, including students, researchers, engineers, and professionals, with a consolidated knowledge base that merges fundamental principles with practical applications, equipping them to address real-world challenges in energy conversion, thermal management, and energy-efficient solutions. This book addresses the problem of scattered and fragmented information by providing a unified, contemporary resource on thermofluids in sustainable energy systems. It offers readers an in-depth understanding of thermofluid phenomena in energy conversion and their application in various sustainable energy technologies. By unraveling the fundamental principles, challenges, and innovations in the field, the book provides readers the necessary knowledge and skills to contribute to the development and implementation of sustainable energy solutions.Covers essential topics in thermodynamics, fluid mechanics, heat transfer, energy conversion, and sustainable energy systemsProvides a comprehensive understanding of thermofluids in sustainable energy systems, utilizing practical examples, case studies, and computational modeling techniques to address real-world challengesEmphasizes the significance of environmental impact and sustainability in energy systems, addressing environmental implications of various technologies, and providing strategies for developing eco-friendly systems

As machine learning capabilities and functionality increases, more industry experts and researchers are integrating applied machine learning into their research. Applied Machine Learning in Chemical Process Engineering: A Practical Approach serves as a comprehensive guide to equip the reader with the fundamental theory, practical guidance, methodologies, experimental design and troubleshooting knowledge needed to integrate machine learning into their processes. This book offers a comprehensive overview of all aspects of machine learning, from inception to integration that will allow readers from any scientific discipline to begin to examine the capabilities of machine learning. This book will then build upon this overview to offer worked examples and case studies, alongside practical methods-based guidance to walk the reader through integrating machine learning end-to-end. Finally, this book will offer critical discussion of concepts that are interwoven into the ever-evolving principles of machine learning such as ethics, safety and culpability that are crucial when working with machine learning. Applied Machine Learning in Chemical Process Engineering: A Practical Approach will be an invaluable resource for researchers, professionals in industry and academia, and students at graduate level and above who work in chemical engineering and are looking to automate, optimize or intensify their chemical processes. This book will also help professionals in other disciplines and industries looking into integrate machine learning into their work, such as though looking to scale up their processes to an industrial scale or conduct novel research.Provides an integrated view of chemical and process engineering basics and machine learningProvides a complete reference on machine learning foundations and chemical and process engineering applicationsIncludes real-world worked examples and case studies to show how machine learning techniques are applied in process design, optimization, and controlEvaluates the difficulties, ethical implications, and prospects of chemical industry machine learning integrationProvides troubleshooting and solutions to common problems associated with data collecting, preprocessing, and model deployment in live operations

Comprehensive insights into integrating modern engineering techniques with machine learning and renewable energy to create a more sustainable world Through an interdisciplinary approach, Machine Learning for Sustainable Energy Solutions provides comprehensive insights into integrating modern engineering techniques such as machine learning (ML), artificial intelligence (AI), nanotechnology, digital twins, and the Internet of Things (IoT) with renewable energy. Each chapter is based on modern research and enhanced by experimental or simulated data. The book offers a thorough review of several energy storage techniques, helping readers fully grasp the larger background in which chemical, thermal, electrical, mechanical, and machine learning technologies may be used to evaluate, categorize, and maximize different storage systems. The book also reviews the confluence of the Internet of Things (IoT) and machine learning for real-time digestive parameter control and monitoring, along with the cooperative importance of mathematical modeling and artificial intelligence in maximizing reactor performance, gas output, and operational stability. Machine Learning for Sustainable Energy Solutions includes information on: Bio-based energy generation from biomass gasification and biohydrogenUsage of hybrid approaches, support vector machines, and neural networks to anticipate and maximize bioenergy production from challenging organic feedstocksHydrogen-powered dual-fuel engines, covering response surface methodology (RSM) for multi-attribute optimizationScalable, experimentally confirmed ML-based solutions for long-standing problems like sedimentation, pumping losses, and stability of nanofluidsThe growing and important use of nanotechnology in energy systems, particularly in engine emissions management, energy storage, and heat transfer improvementsMachine Learning for Sustainable Energy Solutions is an essential reference for professionals, researchers, educators, and students working in the fields of energy, environmental science, and machine learning. The book also helps decision-makers in various fields by providing them the required knowledge to make informed choices on sustainable practices and policies.

This book provides information on thermal energy storage systems incorporating phase change materials (PCMs) which are widely preferred owing to their immense energy storage capacity.