03965nam 22006735 450 991088289960332120240823124820.09789819753413(electronic bk.)978981975340610.1007/978-981-97-5341-3(MiAaPQ)EBC31611551(Au-PeEL)EBL31611551(CKB)34168698100041(DE-He213)978-981-97-5341-3(EXLCZ)993416869810004120240823d2024 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierDye Pollution from Textile Industry Challenges and Opportunities for Sustainable Development /edited by Pardeep Singh1st ed. 2024.Singapore :Springer Nature Singapore :Imprint: Springer,2024.1 online resource (456 pages)SDGs and Textiles,2948-1244Print version: Singh, Pardeep Dye Pollution from Textile Industry Singapore : Springer,c2024 9789819753406 Part 1: Dye Pollution and Environmental Pollution -- Chapter 1: Understanding Dye Pollution and its Impact on the Environment -- Chapter 2: Textile Dyes and its impact on the natural environment -- Chapter 3: Dyes and Unveiling the Environmental story of dye pollution -- Part 2: Technological Solution for remediation of dye from the Environment -- Chapter 4: Technological Solutions for Dye Removal from the Natural Environment -- Chapter 5: Advances in dye-containing wastewater treatment technologies -- Chapter 6: Nanomaterials across the Periodic Table as the Promising Agents for the Remediation of Dye-contaminated Water: A Review -- Chapter 7: Carbon nanotubes application in the bioremediation of heavy metals and dyes from wastewater -- Chapter 8: Removal of dyestuffs from dyeing industry effluents by microbe-mediated oxide nanoparticles (NPs) via adsorption for sustainable development. etc.This book provides a comprehensive overview of the challenges associated with dye pollution and highlights opportunities for sustainable development in the textile industry. It discusses the environmental and health impacts of textile dyeing, the regulations and standards related to dye pollution, and the available technologies and strategies for reducing dye pollution. One of the significant challenges associated with dye pollution is the contamination of water resources. The book further discusses the available technologies and strategies for reducing water consumption and improving water treatment in the textile industry. The book also highlights the importance of adopting sustainable production processes and waste management strategies to minimize toxic waste products and eco-friendly textile production. This book is a valuable resource for researchers, industry professionals, policymakers, and anyone interested in the environmental impact of textile production.SDGs and Textiles,2948-1244Refuse and refuse disposalEnvironmental protectionCivil engineeringPollutionWaterHydrologyWaste Management/Waste TechnologySoil and Water ProtectionPollutionWaterRefuse and refuse disposal.Environmental protection.Civil engineering.Pollution.Water.Hydrology.Waste Management/Waste Technology.Soil and Water Protection.Pollution.Water.363.728628.4Singh Pardeep1315577MiAaPQMiAaPQMiAaPQ9910882899603321Dye Pollution from Textile Industry4209776UNINA04490nam 22005655 450 991101586090332120250702130316.09783031942761(electronic bk.)978303194275410.1007/978-3-031-94276-1(MiAaPQ)EBC32195979(Au-PeEL)EBL32195979(CKB)39578212500041(DE-He213)978-3-031-94276-1(EXLCZ)993957821250004120250702d2025 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierArtificial Intelligence for Integrated Smart Energy Systems in Electric Vehicles /edited by Surender Reddy Salkuti1st ed. 2025.Cham :Springer Nature Switzerland :Imprint: Springer,2025.1 online resource (852 pages)Lecture Notes in Electrical Engineering,1876-1119 ;1427Print version: Salkuti, Surender Reddy Artificial Intelligence for Integrated Smart Energy Systems in Electric Vehicles Cham : Springer,c2025 9783031942754 -- Artificial Intelligence in Electric Vehicles for Sustainable Driving -- Modernization of Electric Grids for Charging of Electric Vehicles -- Mitigating Impacts of Electric Vehicle Charging Stations to the Distribution Systems by Optimal Operation of Soft Open Point -- Performance Evaluation of Artificial Neural Networks for Electric Vehicle State of Charge Estimation across Different Driving Cycles -- GJO-Pattern Search Algorithm based DG and Capacitor Placement in Distribution Network with Zone based Installation of EVCSs, etc.This book provides a comprehensive exploration of cutting-edge research in electric vehicles (EVs) integrated smart energy systems with a main focus on the application of artificial intelligence (AI). This book offers a wide and comprehensive practical approach with the applications of AI to address the challenges and opportunities of modern hybrid energy systems for developing advanced hybrid intelligent methodologies for forecasting and scheduling variable power output from renewable energy sources (RESs) and EVs. This will enhance system flexibility and facilitate the integration of RESs and EVs efficiently, which is a step towards a sustainable future. The chapters cover diverse topics offering valuable knowledge and methodologies including an introduction to Artificial Intelligence (AI), Machine Learning (ML), Internet of Things (IoT), Cybersecurity, and their applications in modern power and energy systems, intelligent control of power electronics for RESs and EVs, intelligent charging management of EVs, etc. This book aims to provide insights into various suitable solutions to increase the security, reliability, and interoperability of the grid under high penetration of renewable energy, storage systems, and electric transport in the context of the modern smart grid. The multi-objective optimization problems such as economic and emission dispatch problems; flexibility and reliability problems; and economic and reliability problems are solved to determine the trade-off solutions using efficient evolutionary algorithms. The chapters cover diverse topics offering valuable knowledge and methodologies including an introduction to Artificial Intelligence (AI), Machine Learning (ML), IoT, Cybersecurity, and their applications in modern power and energy systems, intelligent control of power electronics for RESs and EVs, intelligent charging management of EVs, etc.Lecture Notes in Electrical Engineering,1876-1119 ;1427Electrical engineeringAutomatic controlElectric power productionElectrical and Electronic EngineeringControl and Systems TheoryElectrical Power EngineeringElectrical engineering.Automatic control.Electric power production.Electrical and Electronic Engineering.Control and Systems Theory.Electrical Power Engineering.621.3Salkuti Surender Reddy1294634MiAaPQMiAaPQMiAaPQ9911015860903321Artificial Intelligence for Integrated Smart Energy Systems in Electric Vehicles4409203UNINA