This book presents recent research on sustainable building materials and their various applications. Topics include such items as fiber reinforced concrete, the use of mineral admixtures. self-sensing cement composites, the use of nanomaterials for structural health monitoring and the production of geopolymer mortar. Keywords: Light Transmitting Concrete, Self-Compacting Concrete, Light-Weight Concrete, Polymer Concrete, Porous Concrete, Eco-Friendly Building Material, Cement Composite, Geopolymer Composites, Sustainable Bricks, Cement, Sisal Fiber, Glass Fiber, Nanomaterials, Metakaoline, Fly Ash, Silica Fume, Rice Husk Ash, Oyster Shells, Bitumen, Sugarcane Bagasse Ash, Herbocrete, Waste Foundry Sand, Swell Pressure of Clay, Quarry Dust, Sensors, Topology Optimization, Soil Stabilization.

Mankind has scaled unprecedented growth since the advent of the Industrial Revolution. However, this progress has come at the hefty cost of environmental degradation. Climate change, undeniably, is one of the biggest challenges of the planet Earth and is largely anthropogenic. In the modern-world context, the phenomenon of climate change is one of the most defining issues, when it comes to realizing objectives of the Sustainable Development Goals (SDGs). Climate change is not limited to geographical boundaries, it is a global problem, hence requires global solutions. It has been widely discussed and therefore has acquired centre stage across the major world forums. Smart Energy Practices for a Sustainable World: how we all can contribute? stresses the need for us to judiciously, sustainably, and smartly harness and use energy techniques in order to effectively combat climate change. The book also gives an in-depth discussion on utilization of artificial intelligence and information technology to realize energy efficiency in various sectors of economy including but not limited to transportation, buildings, infrastructure, health care, and other services. Text is supplemented by case studies that depict ground-level reality to facilitate comprehension of the subject matter. The appendices serve as an extended learning of the concepts discussed in the chapters. The publication would serve as a valuable reference for both scholars and researchers engaged in the domain, in addition to, being a guide to industry as well as the academic world. Table of Contents: 1. Smart, Sustainable, and Green: the mantra to save our planet 2. Smart Energy Systems and Components 3. Energy Production and Delivery 4. Impact of Electronic Equipment on Energy Use and Carbon Footprint 5. Standard Energy Use and Carbon Footprint Metrics 6. Smart Buildings: planning and construction 7. Transport: smarter commuting and energy-efficient mobility 8. Electronic Commerce and Other Digital Services for Smart Planet 9. Sustainable Practices for Green Health Care Services 10. Knowledge and Behaviour for a Smart Planet 11. Energy Audits 12. Worldwide Case Studies for Green Practices 13. The Future for Energy Use in Our Planet Appendices

The global economy's growth has come at a cost: environmental degradation and resource depletion. As businesses strive to meet increasing consumer demands, traditional supply chains prioritize cost and efficiency over sustainability. This approach is no longer viable in a world facing climate change and resource scarcity. The problem is apparent: how can businesses transition to sustainable practices without compromising profitability and operational efficiency? Green Supply Chain Management Practice and Principles promotes the establishment of a green supply chain as the key. It offers a comprehensive guide to integrating eco-friendly practices into every aspect of the supply chain, from sourcing raw materials to waste management. Through a combination of theory, practical insights, and real-world case studies, this book equips businesses, researchers, and students with the tools to understand and implement green supply chain practices.

Today, the global power demand relies on a delicate balance between conventional and renewable energy systems, necessitating both efficient power generation and the effective utilization of these energy resources through appropriate energy storage solutions. Integrating microgrid systems into the utility grid has become a critical facet of modern power systems. The intermittent and unpredictable nature of these energy sources poses a formidable challenge for academic scholars and researchers. This compels them to explore under-investigated areas, including energy source estimation, storage elements, load pattern prediction, coordination among distributed sources, and the development of energy management algorithms for precise and efficient control. AI Approaches to Smart and Sustainable Power Systems tackles these issues using cutting-edge AI techniques. It examines the most effective methods to optimize voltage, frequency, power, fault diagnosis, component health, and overall power system quality and reliability. AI empowers predictive and preventive maintenance for a sustainable energy future. The book focuses on emerging research areas, including renewable energy, power flow calculations, demand scheduling, real-time performance validation, and AI integration into modern power systems, accompanied by insightful case studies.

Sustainable development of smart cities infrastructures is of paramount importance and need to be planned, designed, constructed, operated and de-commissioned in a manner that ensures economic, social, environmental and institutional sustainability over the entire infrastructure life cycle. Smart cities infrastructure however be cost effective, disaster resilient, environmentally friendly, conserving natural resources, and sustainable ensuring faster delivery of quality and durable structures which include roads, building, bridges, energy and water infrastructures. Government of India is going to encourage Public Private Partnership (PPP) as an alternate option to build most of the infrastructures, which can be useful both for green-field as well as brown-field smart cities projects. The present book is a collection of contributed research and review papers presented at the ‘National Conference on Sustainable Development of Smart Cities Infrastructure’ (SDSCI-2023) held at National Institute of Technology, Kurukshetra in May 2023.The subject matter is grouped into nine sessions which include research articles pertaining to sustainable development of smart cities, urban and rural planning, transportation, built environment and management, sustainable and smart technologies, materials, construction and maintenance, advance modelling, characterization of structures, energy and environment, performance of smart cities infrastructure under extreme loading conditions, green buildings, structural health monitoring, and ICT in smart cities, data mining and machine learning for sustainable infrastructure, GIS and remote sensing, future trends and prospects of smart cities, innovative technologies, building energy and efficiency and sobriety, and sustainable resilience to natural and man-made disasters, and smart materials, etc. The book would be a valuable reference for researchers, students, structural designers, site engineers, and all related engineers involved in the field of sustainable development of smart cities infrastructure.

This book is intended to help explore the field of smart sustainable cities in its complexity, heterogeneity, and breadth, the many faces of a topical subject of major importance for the future that encompasses so much of modern urban life in an increasingly computerized and urbanized world. Indeed, sustainable urban development is currently at the center of debate in light of several ICT visions becoming achievable and deployable computing paradigms, and shaping the way cities will evolve in the future and thus tackle complex challenges. This book integrates computer science, data science, complexity science, sustainability science, system thinking, and urban planning and design. As such, it contains innovative computer–based and data–analytic research on smart sustainable cities as complex and dynamic systems. It provides applied theoretical contributions fostering a better understanding of such systems and the synergistic relationships between the underlying physical and informational landscapes. It offers contributions pertaining to the ongoing development of computer–based and data science technologies for the processing, analysis, management, modeling, and simulation of big and context data and the associated applicability to urban systems that will advance different aspects of sustainability. This book seeks to explicitly bring together the smart city and sustainable city endeavors, and to focus on big data analytics and context-aware computing specifically. In doing so, it amalgamates the design concepts and planning principles of sustainable urban forms with the novel applications of ICT of ubiquitous computing to primarily advance sustainability. Its strength lies in combining big data and context–aware technologies and their novel applications for the sheer purpose of harnessing and leveraging the disruptive and synergetic effects of ICT on forms of city planning that are required for future forms of sustainable development. This is because the effects of such technologies reinforce one another as to their efforts for transforming urban life in a sustainable way by integrating data–centric and context–aware solutions for enhancing urban systems and facilitating coordination among urban domains. This timely and comprehensive book is aimed at a wide audience across science, academia industry, and policymaking. It provides the necessary material to inform relevant research communities of the state–of–the–art research and the latest development in the area of smart sustainable urban development, as well as a valuable reference for planners, designers, strategists, and ICT experts who are working towards the development and implementation of smart sustainable cities based on big data analytics and context–aware computing.

A smart city uses technology to provide services and solve problems to improve urban policy efficiency, reduce waste, improve quality of life, and maximize social inclusion. By 2050, 66% of the world’s population is expected to be urban, which is a key driver of a global trend toward the creation of smart cities. This trend creates many opportunities for urban planning committees to learn how to design, modernize, and operate smart cities intelligently and effectively. Facets of a Smart City: Computational and Experimental Techniques for Sustainable Urban Development is a collection of topics that are relevant to the design of a smart city. This book aims to complement technical journal articles that require advanced knowledge of the subject of smart cities and applications for readers. It aims to bridge knowledge gaps in sustainable urban design by providing background information via case studies to facilitate students, recent graduates and new practitioners in urban design and planning. Key Features: - This book features 9 chapters that cover 6 major domains, which include (i) information modelling, (ii) internet of things, (iii) intelligent transportation systems, (iv) water supply, (v) waste management and (vi) sustainable environment - Computational techniques are included in the book. These include artificial neural networks, stochastic models, particle swarm optimization, machine learning, and adaptive neuro-fuzzy Inference systems. - Goals of case studies presented in this book use computational techniques to offer readers examples of supervised, unsupervised and reinforcement learning strategies in the context of smart city applications - References are provided for further reading