Renewable energy optimization, planning and control Proceedings of ICRTE 2021 . Volume 1 / / Anita Khosla, Monika Aggarwal, editors

• Pubblicazione: Singapore : , : Springer, , [2022]; ©2022
• Descrizione fisica: 1 online resource (188 pages)
• Disciplina: 628
• Soggetto topico: Sustainable engineering
• Persona (resp. second.): AggarwalMonika; KhoslaAnita
• Nota di contenuto: Intro -- Preface -- Acknowledgements -- Contents -- About the Editors -- 1 A Review on Power Quality İmprovement of Grid Connected PV with Lithium-Ion and Super Capacitor Based Hybrid Energy Storage System Using a New Control Strategy -- 1.1 Introduction -- 1.2 Lıterature Survey -- 1.3 Methodology -- 1.3.1 The Historic Data Processing for Solar Forecasting -- 1.3.2 Analysis of Variation of Solar, Load and the Sizing of Battery on a Hourly Basis -- 1.4 Block Diagram -- 1.4.1 Energy Storage Block -- 1.4.2 Mode of Operation -- 1.4.3 The Complete System -- 1.4.4 Model Description -- 1.4.5 Fuzzy Logic Control Flowchart -- 1.5 Conclusion -- References -- 2 Influence of Alternative Fuels on Exhaust Emissions of IC Engine: A Review -- 2.1 Introduction -- 2.2 Effect of Methanol on Engine Emissions -- 2.2.1 Effects on HC and NOx Emissions -- 2.2.2 Effects on CO and CO2 Emissions -- 2.3 Effect of Ethanol on Engine Emissions -- 2.3.1 Effects on HC and NOx Emissions -- 2.3.2 Effects on CO and CO2 Emissions -- 2.4 Effect of Hydrogen on Engine Emissions -- 2.4.1 Effects on HC and NOx Emissions -- 2.4.2 Effects on CO and CO2 Emissions -- 2.5 Effect of Compressed Natural Gas on Engine Emissions -- 2.5.1 Effects on HC and NOx Emissions -- 2.5.2 Effects on CO and CO2 Emissions -- 2.6 Effect of Liquid Petroleum Gas on Engine Emissions -- 2.6.1 Effects on HC and NOx Emissions -- 2.6.2 Effects on CO and CO2 Emissions -- 2.7 Conclusion -- References -- 3 Hybrid Energy System for an Academic Institution: A Case Study -- 3.1 Introduction -- 3.2 Design of Hybrid Power Systems -- 3.2.1 Study Location and Its Load Profile -- 3.2.2 Available Energy Resources -- 3.3 Modeling of System Reliability and System Cost -- 3.4 System Configurations -- 3.4.1 Configuration-I -- 3.4.2 Configuration-II -- 3.5 Result of Configurations -- 3.5.1 Configuration-I -- 3.5.2 Configuration-II. ; 3.6 Conclusion -- References -- 4 Challenges to Mini-Grids: An Alternative to Rural Electrification -- 4.1 Introduction -- 4.2 Mini-Grid -- 4.3 Community-Operated Mini-Grids -- 4.4 Improved Power Planning and Challenges -- 4.5 Conclusion -- References -- 5 Comparative Analysis of Family of Luo Converter for Renewable Energy Applications -- 5.1 Introduction -- 5.2 Methodology -- 5.3 Proposed Luo Converters -- 5.3.1 Elementary Luo Converter -- 5.3.2 Re-Lift Luo Converter -- 5.3.3 Fused Luo Converters -- 5.4 Maximum Power Point Tracking -- 5.5 Vector Control or Field-Oriented Control -- 5.6 Grid-Connected System -- 5.7 Comparison of Converters -- 5.8 Simulation Results -- 5.9 Simulation Model and Results of Photovoltaic-Fed Induction Motor -- 5.9.1 Simulation Model and Results of Hybrid Renewable Grid-Connected System -- 5.9.2 Conclusions -- References -- 6 Design and Modeling of L-Shape Piezoelectric Energy Harvester for Powering Deep Brain Stimulation System -- 6.1 Introduction -- 6.2 Modeling of L-Shape Piezoelectric Energy Harvester -- 6.2.1 Structure of L-Shape Piezoelectric Energy Harvester -- 6.2.2 Voltage and Power Equations of Piezoelectric Energy Harvester -- 6.3 Medical Application-Deep Brain Stimulation System (DBSS) -- 6.4 Results and Discussion -- 6.4.1 Variation of Design Variables-Length, Width, Thickness, and Mass Weight -- 6.4.2 Proof Mass Analysis-Rectangular, Cylinder, and L-Shapes -- 6.4.3 Load Analysis of L-Shape Piezoelectric Harvester -- 6.5 Conclusion -- References -- 7 Solar Irradiation Forecasting by Long-Short Term Memory Using Different Training Algorithms -- 7.1 Introduction -- 7.2 Theoretical Background -- 7.2.1 Long-Short Term Memory Network -- 7.2.2 Training Algorithms -- 7.3 Experimental Setup -- 7.3.1 Data Description -- 7.3.2 Methodology -- 7.4 Results and Analysis -- 7.5 Conclusion -- References. ; 8 Forecasting of Wind Speed by Using Deep Learning for Optimal Use of the Energy Produced by Wind Farms -- 8.1 Introduction -- 8.2 Wind Speed Dataset Used -- 8.3 Deep Learning -- 8.3.1 Convolutional Neural Network -- 8.4 Results and Discussion -- 8.5 Conclusions -- References -- 9 Analysis of Predictive Current Control Technique in Wind Energy Conversion System -- Abstract -- 9.1 Introduction -- 9.2 Introduction to Control and Modulation Techniques in Matrix Convertor -- 9.3 Applications of Predictive Control Strategies for Matrix Converters -- 9.4 Conclusion and Summary -- 9.5 Scope for Future Work -- References -- 10 Genetic Algorithm Based Intelligent Control Strategy for Multi-input Multi-output DC-DC Converter -- 10.1 Introduction -- 10.2 Working of MIMO Converter -- 10.3 Control Strategy -- 10.4 Simulation Results -- 10.5 Conclusion -- References -- 11 Wavelet Transform Based Comparative Analysis of Wind Speed Forecasting Techniques -- 11.1 Introduction -- 11.2 Forecasting Models -- 11.2.1 Simple Exponential Smoothing -- 11.2.2 Wavelet Transform Decomposition Technique -- 11.3 Results and Discussion -- 11.4 Conclusion -- References -- 12 Maximization of Energy Production from Sholayar Hydropower Plant in India -- 12.1 Introduction -- 12.2 Multi-Reservoir Framework and Maximization of Hydropower Generation -- 12.2.1 Case Study-Sholayar Powerhouse -- 12.3 Results and Discussion -- 12.4 Conclusion -- References -- 13 Cuk-Based Single-Phase Inverter Design for PV Array Systems -- 13.1 Introduction -- 13.2 System Description -- 13.3 System Analysis -- 13.4 Maximum Power Point Tracking Controller -- 13.5 Simulation and Results -- 13.6 Conclusion -- References -- 14 Support Vector Machine Based Forecasting for Renewable Energy Systems -- 14.1 Introduction -- 14.2 Forecasting Reserve Using SVM Algorithm -- 14.3 Results. ; 14.3.1 Training and Data Analysis -- 14.4 Conclusion -- References -- 15 Efficiency Improvement of PV Panel Using PCM Cooling Technique -- 15.1 Introduction -- 15.2 PCM Cooling Technique -- 15.3 Results and Discussion -- 15.4 Conclusion -- References -- 16 Parametric Identification Algorithm Using Chebyshev-Laguerre Functions -- 16.1 Introduction -- 16.2 Synthesis of Orthonormal Chebyshev-Laguerre Functions -- 16.3 Simulation Using Transformed Generalized Orthonormal Chebyshev-Laguerre Functions -- 16.4 Conclusion -- References -- 17 Analysis of Piezoelectric Energy Harvesting Schemes and a Proposition for State-of-the-Art Approach in Hydro-Electric Power Generation -- 17.1 Introduction -- 17.2 Rudiments of Sustainable Piezoelectric Energy Harvesting -- 17.3 Power Harvester Model and Simulation -- 17.3.1 Simulink Model for Power Harvesting Circuitry -- 17.3.2 Flowchart of the Presented Work -- 17.3.3 Test System and Results of Piezoelctric Energy Harvester -- 17.4 A Novel Approach to a Sustainable Piezoelectric Harvester -- 17.5 Conclusion and Future Work -- References -- Author Index.
• Titolo autorizzato: Renewable energy optimization, planning and control
• ISBN: 981-16-4663-5; 981-16-4662-7
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910743365003321
• Lo trovi qui: Univ. Federico II
• Serie: Studies in infrastructure and control.