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Advance Solar Photovoltaic Thermal Energy Technologies : Fundamentals, Principles, Design, Modelling and Applications / / by Gopal Nath Tiwari
| Advance Solar Photovoltaic Thermal Energy Technologies : Fundamentals, Principles, Design, Modelling and Applications / / by Gopal Nath Tiwari |
| Autore | Tiwari G. N. |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (445 pages) |
| Disciplina | 658 |
| Collana | Green Energy and Technology |
| Soggetto topico |
Photovoltaic power generation
Solar energy Chemical engineering Environmental engineering Photovoltaics Solar Thermal Energy Environmental Process Engineering |
| ISBN | 981-9949-93-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter-I General Introduction -- Chapter-II Water Quality -- Chapter-III Solar cell and Photo-voltaic Effect -- Chapter-IV Photovoltaic (PV) Module and its Panel and Array -- Chapter-V Concepts of Greenhouse and its Application -- Chapter-VI Construction of Greenhouse integrated Semi-transparent Photo-Voltaic Thermal System (GiSPVT) -- Chapter-VII Cultivation of Vegitables in Winter -- Chapter-VIII Thermal Modeling of Greenhouse integrated Semi-transparent Photo-voltaic Thermal (GiSPVT) system: Quasi-steady state analysis -- Chapter-IX Thermal Modeling of GiSPVT Solar Dryer: Quasi-steady state analysis -- Chapter-X Thermal Modeling of Greenhouse integrated Semi-transparent Photo-voltaic Thermal (GiSPVT) system: A periodic analysis -- Chapter-XI Application of PVT Technology. |
| Record Nr. | UNINA-9910760272003321 |
Tiwari G. N.
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Agro-waste to Microbe Assisted Value Added Product: Challenges and Future Prospects : Recent Developments in Agro-waste Valorization Research / / edited by Shyama Prasad Saha, Deepika Mazumdar, Swarnendu Roy, Piyush Mathur
| Agro-waste to Microbe Assisted Value Added Product: Challenges and Future Prospects : Recent Developments in Agro-waste Valorization Research / / edited by Shyama Prasad Saha, Deepika Mazumdar, Swarnendu Roy, Piyush Mathur |
| Autore | Saha Shyama Prasad |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (420 pages) |
| Disciplina |
628
660.6 |
| Altri autori (Persone) |
MazumdarDeepika
RoySwarnendu MathurPiyush |
| Collana | Environmental Science and Engineering |
| Soggetto topico |
Environmental engineering
Biotechnology Bioremediation Microbiology Chemical engineering Refuse and refuse disposal Environmental management Environmental Engineering/Biotechnology Environmental Process Engineering Waste Management/Waste Technology Environmental Management |
| ISBN |
9783031580253
9783031580246 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1 - Fundamental Structure, Composition and Cutting-Edge Applications of Polysaccharides in the Contemporary Context -- Chapter 2 - From waste to biofuels: Microbial revalorization of agro-industrial left-overs -- Chapter 3 - Valorization of agro-food wastes and byproducts into bioactive peptides -- Chapter 4 - Microbial cellulases and their characterization for industrial applications: A review -- Chapter 5 - Utilization of agro-wastes for xylitol production through microbial fermentation -- Chapter 6 - Single-cell protein and biodiesel production from agro-industrial waste -- Chapter 7 - Microbial biodegradation of the agricultural wastes for environmental sustainability -- Chapter 8 - Systematic Utilization of Carbohydrate-Rich Residues by Microbial Enzymes-Based Processing Technology: A Biorefinery Concept -- Chapter 9 - Use of microbial mass assisted aquaculture practice: A step towards resilient and sustainable youth empowerment -- Chapter 10 - Agro waste valorization and production of bioethanol -- Chapter 11 - Sustainable treatment of agro-wastes for the development of novel products especially bioenergy: prospects and constraints -- Chapter 12 - Integrated agro waste valorization and biorefinery approach: Prospects and challenges -- Chapter 13 - Agrowaste as a Potential Feedstock for Biofuel Production -- Chapter 14 - Valorization of Jackfruit waste into bioactive peptides and nutraceuticals -- Chapter 15 - Valorization of feather waste by microbial enzymatic activity: Bioconversion, production and application -- Chapter 16 - Production of biopesticides from agricultural waste as an alternative to chemical pesticides -- Chapter 17 - Biogenic nanoparticles synthesis, extraction, and purification from agro-wastes -- Chapter 18 - A sustainable approach to biosynthesis of nanoparticles from Agro-waste. |
| Record Nr. | UNINA-9910865284203321 |
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Saha Shyama Prasad
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial Intelligence for Environmental Sustainability and Green Initiatives / / edited by Aboul Ella Hassanien, Ashraf Darwish, Sally M. Elghamrawy
| Artificial Intelligence for Environmental Sustainability and Green Initiatives / / edited by Aboul Ella Hassanien, Ashraf Darwish, Sally M. Elghamrawy |
| Autore | Hassanien Aboul Ella |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (361 pages) |
| Disciplina | 620 |
| Altri autori (Persone) |
DarwishAshraf
ElghamrawySally M |
| Collana | Studies in Systems, Decision and Control |
| Soggetto topico |
Engineering mathematics
Engineering - Data processing Chemical engineering Environmental engineering Artificial intelligence Mathematical and Computational Engineering Applications Environmental Process Engineering Artificial Intelligence |
| ISBN | 3-031-63451-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- Artificial Intelligence for Environmental Sustainability -- Recognizing Aluminum Beverage Cans from Waste Mixtures Based on Densenet121-CNN Model: Deep Learning Methodology -- 1 Introduction -- 2 Related Work -- 3 Aluminum Beverage Cans Recognition Model -- 4 Model Evaluation and Experimental Results -- 5 Discussion -- 6 Conclusion -- References -- Machine Learning-Based Forecasting of Electricity Demand for Sustainable Electricity Planning -- 1 Introduction -- 2 Methods and Background -- 2.1 Support Vector Regression -- 2.2 Random Forest -- 2.3 EXtreme Gradient Boosting -- 2.4 Autoregressive Integrated Moving Average -- 3 Dataset Description -- 4 The Proposed Electricity Demand Forecasting Model -- 4.1 Data Pre-processing Phase -- 4.2 Time Series Forecasting Phase -- 5 Experimental Results and Discussion -- 6 Conclusions and Future Work -- References -- Using Artificial Intelligence Techniques in Water Quality Analysis and Prediction: Towards Sustainability -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Phase 1: Data Collection and Characteristics -- 3.2 Phase 2: Data Preprocessing -- 3.3 Phase 3: Predicting the Potability of Water Using Machine Learning Classification Methods -- 4 Experimental Study -- 4.1 Experimental Results -- 5 Conclusion and Future Work -- References -- Flowers Classification with Low Carbon Footprint Using Deep Learning Pretrained Models -- 1 Introduction -- 2 Related Work -- 3 The Proposed Model -- 3.1 Training Phase -- 3.2 Testing Phase -- 4 Dataset Characteristics and Pre-processing -- 5 Experiments and Results -- 6 Conclusion and Future Work -- References -- Measuring Global Warming Effect by the Prediction of Climate Change on the Different Countries Using Machine Learning Approaches -- 1 Introduction -- 2 Background -- 2.1 Support Vector Machine.
2.2 Artificial Neural Network -- 2.3 Decision Trees -- 2.4 Ensemble Methods -- 3 Climate Change Prediction System Description -- 3.1 Preprocessing -- 3.2 Model Selection -- 3.3 Step Wise Linear Regression -- 3.4 Optimization -- 4 Experimental Results -- 4.1 Evaluation Metrics -- 5 Conclusion and Future work -- References -- Towards Sustainable and Green Agriculture: Integrating Machine Learning and Fuzzy Rough Set Analysis to Enhance Fruit Classification and Ripeness Detection -- 1 Introduction -- 2 Related Work -- 3 The Proposed Model for Discriminating Fruit Types Using Mineral Composition Data -- 4 Experimental Results and Analysis -- 4.1 Dataset Description -- 4.2 Statistical Analysis: Mineral Composition Analysis -- 4.3 Feature Selection Based on FRS -- 4.4 Fruit Discrimination Using Support Vector Machines (SVMs) -- 5 Conclusion and Future Works -- References -- Classifying Bird Songs Based on Chroma and Spectrogram Feature Extraction -- 1 Introduction -- 2 Related Work -- 3 Materials and Methods -- 3.1 Bird Song Dataset Description -- 3.2 Feature Extraction -- 3.3 Mel Spectrogram -- 3.4 Chroma -- 3.5 Support Vector Machine -- 3.6 CNN -- 3.7 Spectral Features and Feature Learning -- 4 Experimental Results -- 5 Conclusions -- References -- Fish Recognition Using MobileNet-V2 and MAR-Based Metaverse for an Educative Marine Life System -- 1 Introduction -- 2 Related Work -- 3 Background -- 3.1 Extended Reality (XR) -- 3.2 Mobile Augmented Reality (MAR) -- 3.3 The Role of AI in the Metaverse -- 3.4 The Importance of Deep Learning and Image Processing for the Speed of Object Detection in the Metaverse -- 3.5 Machine Learning Technique Transfer Learning -- 4 The Proposed Model -- 4.1 Virtual World -- 4.2 Metaverse Engine -- 4.3 The Physical Worlds -- 5 Experiments Results and Discussion -- 5.1 Experiment I: Training Based Adam Optimization Algorithm. 5.2 Experiment II: Training Based SGD Optimization Algorithm -- 5.3 Experiment III: Training Based RMSprop Optimization Algorithm -- 5.4 The Testing Results -- 6 Conclusion -- References -- Biodiesel Yield Prediction from Sunflower Oil Using Artificial Intelligence: Towards Sustainable, and Renewable Energy Sources -- 1 Introduction -- 2 Literature Review -- 3 Preliminaries -- 3.1 Artificial Intelligence -- 3.2 Biodiesel as a Renewable Energy Source -- 4 Proposed Framework and Methodology -- 4.1 Phase 1: Classification of Sunflower Diseases Using VGG16 Model -- 4.2 Phase 2: Prediction of Biodiesel Yield from Sunflower Oil Using GBR Model -- 5 Results and Discussion -- 5.1 Performance Metrics -- 5.2 Results of VGG16 in Phase 1 -- 5.3 Results of GBR in Phase 2 -- 6 Comparison with Other Related Work Models -- 6.1 Validation of the VGG16 Model Performance -- 6.2 Validation of the GBR Model Performance -- 7 Conclusion and Future Work -- References -- Applications and Innovations in Green Initiatives -- Snake Optimization of Multiclass SVM for Efficient Diagnosis of Heart Disease Risk Prediction -- 1 Introduction -- 2 Related Work -- 3 Proposed Work -- 4 Dataset Details -- 5 Support Vector Machine -- 6 Snake Optimization (SO) Algorithm and Its Mathematical Model -- 6.1 The Proposed OFA for SVM Parameter Optimization Algorithm -- 7 Results and Discussions -- 8 Conclusion -- References -- Efficient Prediction Adverse Drug-Drug Interactions with Deep Neural Networks -- 1 Introduction -- 2 Related Work -- 3 Material and Methods -- 4 Experimental Design -- 4.1 Benchmark Dataset -- 4.2 Pre-processing Data -- 4.3 Technical Processing and Chemical Characteristics -- 4.4 Proposed Model -- 5 Results and Discussions -- 5.1 Statistical Analysis -- 5.2 Comparison and Result Validation for State-of-the-Art Study -- 5.3 Experimental Discussions -- 6 Conclusion. References -- Drones and Birds Detection Based on InceptionV3-CNN Model: Deep Learning Methodology -- 1 Introduction -- 2 Related Work -- 3 "Drone Versus Bird" Detection Recognition Model: Inception V3-CNN -- 4 Model Evaluation and Experimental Results -- 5 Discussion -- 6 Conclusion -- References -- Deep Artificial Neural Network Regression Model for Synergistic Drug Combination Prediction -- 1 Introduction -- 2 Background -- 2.1 Drugs Combination -- 2.2 Deep Learning -- 3 Related Work -- 4 The Proposed Model -- 4.1 Dataset -- 4.2 Phase 1: Features Extraction -- 4.3 Phase 2: Feature Selection and Data Pre-processing -- 4.4 Phase 3: Implementation and Model Evaluation -- 5 Experimental Results -- 6 Conclusion -- References -- Classification of Benign and Malignant Breast Tumor Based on Machine Learning and Feature Selection Algorithms -- 1 Introduction -- 2 Related Work -- 3 Data Description -- 4 Proposed Model -- 4.1 Data Preprocessing -- 4.2 Feature Selection -- 4.3 Classification -- 5 Experimental Results -- 5.1 Evaluation Metrics -- 5.2 Evaluation -- 6 Conclusion and Future Work -- References -- Enhancing Synergistic Drug Combination Model Through Dimension Reduction in Cancer Cell Lines -- 1 Introduction -- 2 Implementation Approach -- 2.1 Feature Selection Techniques -- 2.2 Implementation Models -- 3 Experimental Results -- 3.1 Dataset Characteristics -- 3.2 Evaluation Metrics -- 3.3 Global Settings -- 3.4 Results and Discussion -- 4 Conclusion -- References -- A Novel Dynamic Chaotic Golden Jackal Optimization Algorithm for Sensor-Based Human Activity Recognition Using Smartphones for Sustainable Smart Cities -- 1 Introduction -- 2 Related Work -- 3 Golden Jackal Algorithm -- 3.1 Initialization -- 3.2 Exploration Phase -- 3.3 Exploitation Phase -- 3.4 Exploration-Exploitation Transition -- 4 Proposed Approach -- 4.1 Dynamic Opposite Learning. 4.2 Chaotic Maps Learning -- 4.3 The Proposed IGJO -- 5 Experimental Results -- 5.1 Parameter Settings and Evaluation Metrics -- 5.2 Experiment 1: Global Optimization Test -- 5.3 Experiment 2: IGJO as Feature Selection for HAR -- 6 Conclusion and Future Work -- References -- Artificial Intelligence in Finance Sector for Risk Prediction -- 1 Introduction -- 2 Artificial Intelligent Techniques for Risk Prediction in Finance -- 3 Related Work -- 4 Methodology and Data -- 4.1 Data Set Description -- 4.2 Data Set Analysis -- 4.3 Modelling Method and Results -- 5 Conclusion -- References -- Ensemble Regression Tree with Bayesian Optimization for Prediction of Biochemical Oxygen Demand and Climate Impact Assessment in Full Scale Waste Water Treatment Plant -- 1 Introduction -- 2 Related Work -- 3 Basics and Background -- 3.1 Feature Selection -- 3.2 Ensemble Regression Tree -- 3.3 Bayesian Optimization -- 3.4 Performance Metric -- 4 The Proposed Optimized Predictive Model -- 5 Results, Discussion and Analysis -- 5.1 Dataset-Statistical Description -- 5.2 Results and Analysis -- 6 Conclusion and Future Work -- References -- Enhancing Dynamic Wind Power Forecasting Using Cluster-Based Intelligence Swarm Optimization Technique -- 1 Introduction -- 2 Related Work -- 3 The Proposed Wind Power Forecasting Technique -- 4 Experimental Results -- 4.1 SDWPF Dataset -- 4.2 Experiment Setup -- 4.3 Evaluation Measures and Comparative Analysis of the CISWP Technique -- 5 Conclusions -- References -- Sustainable Green Cognitive Radio Networks: Optimized Deep Transfer Learning Model for Energy Consumption -- 1 Introduction -- 2 Cognitive Radio Network's System Model -- 3 Related Works -- 4 The Proposed Optimized Deep Transfer Learning Model (ODTL) in GNRNs -- 4.1 The African Vultures Optimization Algorithm (AVOA) -- 5 Experiment Results and Discussion. 5.1 Testing the Energy Consumption After Applying the Proposed ODTL-GCRN. |
| Record Nr. | UNINA-9910878988603321 |
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Hassanien Aboul Ella
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Bioethanol: A Green Energy Substitute for Fossil Fuels / / edited by Eriola Betiku, Mofoluwake M. Ishola
| Bioethanol: A Green Energy Substitute for Fossil Fuels / / edited by Eriola Betiku, Mofoluwake M. Ishola |
| Autore | Betiku Eriola |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (349 pages) |
| Disciplina | 662.6692 |
| Altri autori (Persone) | IsholaMofoluwake M |
| Collana | Green Energy and Technology |
| Soggetto topico |
Renewable energy sources
Chemical engineering Environmental engineering Bioorganic chemistry Renewable Energy Environmental Process Engineering Bioorganic Chemistry |
| ISBN | 3-031-36542-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction: Benefits, prospects, and challenges of bioethanol production -- Novel and cost-effective feedstock for sustainable bioethanol production -- Feedstock Conditioning and pretreatments (physical, chemical, and intensification assistance) -- Current status on substrate hydrolysis to fermentable sugars -- Bioethanol production from novel starch sources -- Bioethanol production from lignocellulosic wastes: potentials and challenges -- Bioethanol production from microalgae: potentials and challenges -- Bioethanol production via fermentation: microbes, process modeling and optimization -- Bioethanol recovery and dehydration techniques -- Ethanol utilization in spark ignition engines and emission characteristics -- Overview of commercial bioethanol production plants -- Techno-economic evaluation, Life cycle analysis of ethanol production -- Concluding remarks and future directions. |
| Record Nr. | UNINA-9910742490803321 |
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Betiku Eriola
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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China Automotive Low Carbon Action Plan (2022) : Low Carbon Development Strategy and Transformation Path for Carbon Neutral Automotive
| China Automotive Low Carbon Action Plan (2022) : Low Carbon Development Strategy and Transformation Path for Carbon Neutral Automotive |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (402 pages) |
| Disciplina | 628.532 |
| Soggetto topico |
Automotive engineering
Automobile industry and trade Chemical engineering Environmental engineering Ecology Automotive Engineering Automotive Industry Environmental Process Engineering Environmental Sciences |
| ISBN |
9789811975028
9789811975011 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. The introduction -- Chapter 2. Vehicle life cycle carbon emission accounting methods -- Chapter 3. China Automotive life cycle carbon Emissions in 2021 -- Chapter 4. Path analysis of the low-carbon transition of automobile industry facing carbon neutrality -- Chapter 5. Future carbon emission reduction potential analysis of the automotive industry -- Chapter 6. Opportunities for the automotive industry under the goal of carbon peak and neutrality -- Chapter 7. Key points of low-carbon development strategy and policy guarantee for the automobile industry. |
| Record Nr. | UNINA-9910682596603321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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The Circular Bioeconomy in Industry : Strategies for Sustainable Resource Recovery, Environmental Balance, and Ecosystem Protection / / edited by Alexander Meneses-Jácome, Ulrike Schmid-Staiger, Tatiana C. Guarín C
| The Circular Bioeconomy in Industry : Strategies for Sustainable Resource Recovery, Environmental Balance, and Ecosystem Protection / / edited by Alexander Meneses-Jácome, Ulrike Schmid-Staiger, Tatiana C. Guarín C |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (XI, 148 p. 48 illus., 34 illus. in color.) |
| Disciplina |
363.728
628.4 |
| Collana | Waste as a Resource |
| Soggetto topico |
Refuse and refuse disposal
Renewable energy sources Environmental engineering Biotechnology Bioremediation Chemical engineering Industrial management - Environmental aspects Waste Management/Waste Technology Renewable Energy Environmental Engineering/Biotechnology Environmental Process Engineering Corporate Environmental Management |
| ISBN | 3-031-84359-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part 1. BIOTECHNOLOGY, BIOPRODUCTS & BIOENERGY -- 1. Recent developments in biorefinery with special focus on industrial biotechnology. -- 2. Biorefineries based on Coupling of Wastewater and Microalgae: Developments of algal Biotechnology. -- 3. Progress on “Piñafibre” project: Unlocking the potential of dual-purpose crop by the utilization of pineapple leaf fibres for bio-based textiles. -- 4. Use of basidiomycetes in the valorization of agro-waste as an alternative in implementing the circular bioeconomy. -- 5. Extracellular Compounds of Arthrospira platensis under L-Tryptophan Supplementation: UHPLC coupled with mass spectrometry (ESI-QTOF-MS) Identification. -- 6. Study of agro-industrial residues from rice and oil palm from the south-east region of Colombia: Characterization, annual waste generation and energy potential. -- 7. Development of Microbial Cellulose Dressings from Coffee Mucilage: A Matrix for Controlled Topical Drug Delivery. -- 8. Extraction of Pectin from Citrus Wastes in Santander (Colombia). -- 9. Influence of Different Growing Media on Arthrospira platensis Biomass Yield. -- 10. Technological Roadmap for Sustainable Hydrogen Production from Lignocellulosic Biomass Gasification for Energy Applications: A Perspective. -- 11. Testing the biochemical potential of methane of aqueous glycerol solutions using sludge from the effluents treatment system of palm oil mills as inoculum. -- PART 2. CIRCULAR BIOECONOMY CONCEPTS AND BIOECONOMY FOR FOOD SECURITY -- 12. Perspective on coupled agricultural systems for a profitable and sustainable production of high-quality food proteins. -- 13. Bioeconomy: Agro and Food Security. -- 14. BioInsectonomy: a circular agrifood economy based on insects as animal feed. -- 15. The Bioeconomy in Colombia from the perspective of the Colombian research center: "AGROSAVIA". -- 16. Circular Bio-Economy to Lead an Enhanced Strategy for Sustainable Aquaculture: CiBELESα. -- 17. Food Security and Sustainability Based on Alternative Proteins from Insects in the Santander Region (Colombia): a Perspective. -- PART 3. OTHER BIOECONOMY AND GENERAL SUSTAINABILITY TOPICS -- 18. Exploration of life cycle assessment as driver of circular economy strategies in the drinking water sector: a literature outlook. -- 19. Using animation technologies to improve the interrelation between bird’s conservation and nature tourism. -- 20. Advances and Perspectives in Processing Techniques and Artificial Intelligence Methods for Biomedical Signal Analysis. -- 21. Solar desalination and the application of the life cycle analysis method: a mini-review. -- 22. Environmental Peace and Bioeconomy: A Case Study of Initiatives in Ciudad Bolívar, Bogotá DC. |
| Record Nr. | UNINA-9911007354303321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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E-Waste: From Generation to Management–Practices, Challenges, and Solutions / / edited by Prashant Shukla, Sachi Choudhary, P. S. Ranjit, Akarsh Verma
| E-Waste: From Generation to Management–Practices, Challenges, and Solutions / / edited by Prashant Shukla, Sachi Choudhary, P. S. Ranjit, Akarsh Verma |
| Autore | Shukla Prashant |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (477 pages) |
| Disciplina | 333.7 |
| Altri autori (Persone) |
ChoudharySachi
RanjitP. S VermaAkarsh |
| Collana | Engineering Series |
| Soggetto topico |
Environmental management
Chemical engineering Environmental engineering Electrical engineering Environmental Management Environmental Process Engineering Electrical and Electronic Engineering |
| ISBN | 9789819503292 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1:Introduction to E-Waste: Definitions, Scope, and SignificanceThis chapter provides an introduction to electrical and electronic waste (E-waste), defining what it is, its scope, and its significance in today's world. It explores the various types of E-waste and their sources, setting the stage for understanding the challenges and opportunities in e-waste management -- Chapter 2:Global Trends in E-Waste Generation and ManagementThis chapter examines the trends in e-waste generation and management on a global scale. It analyzes data on the quantities and types of e-waste generated worldwide, as well as the methods and practices used for its management and disposal. The chapter highlights key patterns and shifts in e-waste management over time -- Chapter3:Environmental and Health Impacts of E-Waste Focusing on the environmental and health impacts of e-waste, this chapter explores the consequences of improper disposal and recycling of electrical components and electronic devices. It discusses the pollutants released from e-waste and their effects on ecosystems, human health, and the broader environment -- Chapter 4:Legal and Regulatory Frameworks for E-Waste Management This chapter examines the legal and regulatory frameworks governing e-waste management at national and international levels. It discusses the laws, regulations, and policies aimed at addressing e-waste issues, as well as the challenges and opportunities associated with their implementation and enforcement -- Chapter 5:E-Waste Collection, Sorting, and Handling Practices Exploring the practical aspects of e-waste management, this chapter focuses on collection, sorting, and handling practices. It discusses the methods and technologies used for collecting and processing e-waste, including segregation, dismantling, and transportation, highlighting best practices and challenges in these areas -- Chapter 6:Sustainable Design and Product Lifecycle Management This chapter examines the role of sustainable design and product lifecycle management in reducing e-waste generation. It discusses strategies for designing electronics with longevity, reparability, and recyclability in mind, as well as approaches for extending product lifecycles through repair, refurbishment, and remanufacturing -- Chapter 7:Social and Economic Aspects of E-Waste Management Focusing on the social and economic dimensions of e-waste management, this chapter explores the impacts on communities, livelihoods, and economies. It discusses the role of informal e-waste sectors, the socio-economic implications of e-waste recycling, and the importance of inclusive and equitable approaches to management -- Chapter 8:Circular Economy Approaches to E-Waste Management This chapter examines circular economy approaches to e-waste management, emphasizing strategies for resource recovery, reuse, and recycling. It discusses circular business models, such as product-as-a-service and take-back schemes, as well as the potential for creating closed-loop systems in the electronics industry -- Chapter 9:Case Studies in Successful E-Waste Management Practices Sub topics :a. E-Waste Management Initiatives in Developing Countries b. Best Practices in E-Waste Recycling Facilities c. Community-Based E-Waste Management Programs This chapter is featuring case studies from around the world, this chapter highlights successful e-waste management initiatives and practices. It showcases examples of innovative programs, projects, and partnerships that have effectively addressed e-waste challenges, providing insights and lessons learned for practitioners and policymakers -- Chapter 10:Case Studies for Management of Major Components in E-Waste (e.g., Household appliances, EV batteries and PV panels, Electronic gadgets and IT industry components etc.)8This chapter will delve into case studies focusing on a range of major e-waste components, including household appliances, EV batteries and PV panels, electronic gadgets, and components from the IT industry. Through detailed analysis and exploration of these case studies, readers will gain insights into innovative approaches and successful initiatives in e-waste management -- Chapter 11:Impact of E-Waste on Important Geographical Regions Sub Topics: a. E-Waste Management Challenges in Asia b. E-Waste Recycling Innovations in Europe c. E-Waste Policies and Practices in North America This chapter is focusing on specific geographical regions, this chapter examines the impact of e-waste on ecosystems, communities, and economies. It explores the unique challenges and opportunities faced by different regions in managing e-waste, providing insights into regional variations in policies, practices, and outcomes -- Chapter 12:Emerging Technologies for E-Waste Recycling and Resource Recovery This chapter explores emerging technologies for e-waste recycling and resource recovery, highlighting innovative approaches for recovering valuable materials from electronic devices. It discusses advancements in recycling processes, including mechanical, chemical, and biotechnological methods, as well as their potential environmental and economic benefits -- Chapter 13:Future Trends and Directions in E-Waste Management Research and Practice Focusing on future trends and directions, this chapter explores emerging issues, challenges, and opportunities in e-waste management. It discusses areas for future research, technological innovation, policy development, and international collaboration, offering insights into the evolving landscape of e-waste management. |
| Record Nr. | UNINA-9911035158203321 |
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Shukla Prashant
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Frugal Engineering : Advent, Design and Production of Frugal Products / / by Balkrishna C. Rao
| Frugal Engineering : Advent, Design and Production of Frugal Products / / by Balkrishna C. Rao |
| Autore | Rao Balkrishna C |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (247 pages) |
| Disciplina | 658.5 |
| Collana | Design Science and Innovation |
| Soggetto topico |
Engineering design
Sustainability Chemical engineering Environmental engineering Engineering Design Environmental Process Engineering |
| ISBN |
9789819997008
9819997003 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Advent Of Frugal Innovations -- Frugal Innovatons And Sustainable Development -- Grassroots Frugal Innovations -- Engineering Frugal -- Engineering Of Frugal Products. |
| Record Nr. | UNINA-9910861097903321 |
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Rao Balkrishna C
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Fundamental of Mathematical Tools for Thermal Modeling of Solar Thermal and Photo-voltaic Systems-Part-I / / by Gopal Nath Tiwari
| Fundamental of Mathematical Tools for Thermal Modeling of Solar Thermal and Photo-voltaic Systems-Part-I / / by Gopal Nath Tiwari |
| Autore | Tiwari Gopal Nath |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (666 pages) |
| Disciplina | 621.31244 |
| Soggetto topico |
Photovoltaic power generation
Solar energy Chemical engineering Environmental engineering Photovoltaics Solar Thermal Energy Environmental Process Engineering |
| ISBN | 981-9970-85-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Solar Radiation -- Heat Transfer -- Energy Balances -- Liquid Flat Plate Collector -- Flat Plat Air Collector. |
| Record Nr. | UNINA-9910799225003321 |
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Tiwari Gopal Nath
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Global Net Zero Carbon Practices in Construction / / edited by N. Domingo, S. Senarathne, Suzanne Wilkinson, Srinath Perera
| Global Net Zero Carbon Practices in Construction / / edited by N. Domingo, S. Senarathne, Suzanne Wilkinson, Srinath Perera |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (VI, 182 p. 37 illus., 30 illus. in color.) |
| Disciplina | 333.7 |
| Collana | Green Energy and Technology |
| Soggetto topico |
Environmental management
Environmental monitoring Ecology Earth sciences Geography Chemical engineering Environmental engineering Civil engineering Environmental Management Environmental Monitoring Environmental Sciences Earth and Environmental Sciences Environmental Process Engineering Environmental Civil Engineering |
| ISBN | 981-9638-53-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction to the book -- Introduction to Net Zero Carbon in Construction -- Net Zero Carbon Policies in the Construction Industry -- Stakeholders and their Roles in the Net Zero Carbon Construction Industry -- Low Carbon Construction Materials and Technologies -- Design for Low Carbon in the Construction Industry -- Supply Chain and Construction Practices for Low Carbon Construction -- Maintenance and Refurbishment for Low Emissions in Buildings -- Circular Economy and Deconstruction -- Future of Net Zero Carbon. |
| Record Nr. | UNINA-9911001787803321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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