UID:
almafu_9961535696902883
Format:
1 online resource (517 pages)
Edition:
1st ed. 2024.
ISBN:
9783031606298
Series Statement:
Lecture Notes in Networks and Systems, 984
Content:
This book embarks on a transformative exploration of sustainable urban development, integrating Internet of Things (IoT) technologies in energy efficiency assessments of renewable energy systems and microgrids within smart cities. This work transcends conventional approaches, seamlessly blending theoretical insights with practical applications, and prioritizing real-time, IoT-enabled assessments for optimal energy utilization. Evolving the understanding of renewable energy systems and microgrids, the book distinguishes itself through its hands-on application of IoT technologies. It not only delves into theoretical aspects but also equips readers with actionable insights, guiding the implementation of IoT for informed decision-making in the dynamic landscape of smart city environments. From IoT sensor deployment strategies to data analytics techniques and practical considerations, the book's expansive scope offers a comprehensive roadmap for creating resilient and efficient energy ecosystems. Tailored for professionals, researchers, and policymakers in energy management, urban planning, and IoT technology, this resource speaks to a diverse audience. Whether the reader is an engineer aiming to optimize microgrid performance or a policymaker driving urban sustainability, the book provides indispensable insights. It serves as a compass, informing city planners on energy-efficient infrastructure, guiding researchers in developing impactful IoT applications, and assisting policymakers in formulating forward-thinking, eco-friendly regulations. In a world embracing smart technologies, this book emerges as an essential guide, steering stakeholders toward a future where the seamless integration of energy efficiency and IoT defines the landscape of truly smart and sustainable cities.
Note:
Intro -- Contents -- Editors Biography -- Internet of Things and Sensors -- An IoT-Based System to Control the Greenhouse's Microclimate -- 1 Introduction -- 2 Related Works -- 3 Parameters of Microclimate in Greenhouse -- 4 Method and Materials -- 5 Results and Discussions -- 6 Conclusion -- References -- A Review on Network Layer Attacks in Wireless Sensor Network and Defensive Mechanisms -- 1 Introduction -- 2 Architecture of WSN -- 3 Applications of WSN -- 4 The Internet of Things -- 5 Architecture of the IoT -- 6 Attacks on Network Layer -- 7 Defensive Mechnisms -- 8 Conclusion -- References -- IoT-Driven Automation in Vertical Farming: A Survey -- 1 Introduction -- 2 Preliminaries -- 3 Related Works -- 4 Conclusion -- References -- Attacks and Countermeasures in Wireless Sensor Networks -- 1 Introduction -- 2 Characteristics and Vulnerabilities of WSN -- 3 Our Main Taxonomy of Attacks -- 4 Wsn Countermeasures -- 5 Conclusion -- References -- A System for Monitoring Hydroponic Plants in Greenhouse Using WSN, IoT and RnE -- 1 Introduction -- 2 Related Works -- 3 Our Suggested Approach -- 3.1 The System Design -- 3.2 Control System -- 3.3 Advantages of the Proposed System -- 4 Conclusion and Perspectives -- References -- Implementation of Smart Parking Using an IoT Based System -- 1 Introduction -- 2 Review about Smart Parking -- 3 Smart Parking Implementation -- 4 Database and User Interface -- 5 Experimental Results and Discussion -- 6 General Conclusion -- References -- Dynamic Load Balancing in Cloud-IoT Based on Neural Network Classification and GGA Optimization -- 1 Introduction -- 2 Related Work -- 2.1 Classifications in the IoT Environment -- 2.2 Load Balancing in the Cloud Computing Environment -- 3 Proposed Architecture -- 3.1 Connected Object (IoT) -- 3.2 Virtual Machine (VM) -- 3.3 Classifier -- 3.4 Load Balancer 1.
,
3.5 Load Balancer 2 -- 4 Functionality of the Proposed Model -- 4.1 The Classifier -- 4.2 Balancers -- 5 Experimental Results and Discussion -- 5.1 Experience 1: Evaluation of the Waiting Time for the Optimal Solution -- 5.2 Experience 2: Analysis of Makespan Performance Across Varying Task Counts -- 5.3 Experience 3: Evaluation of Average Resource Utilization Ratio -- 5.4 Experience 4: Comparative Analysis of Energy Consumption in IoT Environment -- 5.5 Experience 5: Cost Analysis of Distributed Task Completion in IoT -- 6 Conclusion -- References -- Blockchain-Based Identity Management -- 1 Introduction -- 2 Identity Management -- 2.1 Definition of Identity -- 2.2 What is stored on the blockchain? -- 3 E-Government Platform -- 4 Related Work -- 5 Conclusion -- References -- Application of Machine Learning Forecasting Model for Renewable Generations of Adrar's Power System -- 1 Introduction -- 2 Long-Short Term Memory (LSTM) -- 3 Data Description -- 4 Simulation Results and Discussion -- 5 Conclusion -- References -- MPPT and Optimization -- Using the PSO Algorithm to Optimize a Self-tuning PID-Type Fuzzy Controller for Indoor Temperature -- 1 Introduction -- 2 Particle Swarm Optimization (PSO) Method -- 3 The Fuzzy PID Controller with PSO Algorithm -- 3.1 Fuzzy Logic System Design (Rules and MFS) -- 4 Simulation and Results -- 5 Conclusion -- References -- Kalman MPPT Controller for Home Turbine Connected to the Utility Grid -- 1 Introduction -- 2 Configuration of the Residential Wind Energy Conversion System -- 3 Kalman MPPT -- 3.1 Kalman Filter -- 3.2 MPPT Kalman Filter -- 4 Simulation Result -- 5 Conclusion -- References -- Variation of the Speed of a DC Motor Powered by the Photovoltaic Generator Using MPPT Control -- 1 Introduction -- 2 DC Motor -- 2.1 Modeling of the DC machine -- 2.2 Modeling of the Three-Phase Source.
,
2.3 Modeling of the Rectifier -- 2.4 Modeling of the Filter -- 2.5 Static Converter (chopper) and Pulse Generator -- 2.6 Choice and the Expression of the PI Regulator -- 2.7 Global block diagram of the system studied under Simulink -- 2.8 Study of the Direct Current Motor Without Resistive Torque -- 2.9 DC motor with resistive torque -- 3 Modelling of a Photovoltaic Module -- 4 Boost Converter -- 5 Modeling and Simulation of the PV System with the Converter -- 6 Simulation of a PV-Boost Panel with DC Motor and MPPT Control -- 6.1 Block diagram -- 6.2 Simulation and results of the DC motor with constant excitation -- 6.3 Result and Interpretation -- 6.4 Influence of irradiance and temperature -- 7 Conclusion -- References -- MOTH-FLAME-MPPT Algorithms of PV Panels Under PSC -- 1 Introduction -- 2 Photovolatic Panel -- 3 Maximum Power Point Tracking by Moth-Flame Algo -- 4 Matlab Simulation Results -- 5 Conclusion -- References -- Improving Wind Turbine Performance in Residential Grid-Connected System Operating at Variable Wind Conditions with WOA-MPPT Based Strategy -- 1 Introduction -- 2 System Modelling -- 2.1 Characteristics of the Wind Turbine -- 3 WOA-MPPT Based Algorithm -- 4 Simulation Results -- 5 Conclusion -- References -- Improved Power Quality with Active Shunt Power Filter Based on MPPT Firefly Controller of a Wind Turbine -- 1 Introduction -- 2 Configuration of the System -- 2.1 Wind Energy Conversion System -- 2.2 Shunt Active Power Filter -- 3 Firefly MPPT Controller -- 4 Simulations Results -- 5 Conclusion -- References -- Optimal Design of an Off-Grid Photovoltaic-Battery System for UAV Charging in Wildlife Monitoring -- 1 Introduction -- 2 Materials and Methods -- 2.1 PV Model -- 2.2 Battery Model -- 2.3 Net Present Cost (NPC) and Levelized Cost of Energy (LCOE) -- 3 Case Study -- 3.1 Site Description -- 3.2 Input Data.
,
4 Results and Discussion -- 5 Conclusion -- References -- Efficient Solar Energy Harvesting and Power Management for Electric Vehicles Using MPPT Under Partial Shading Conditions and Battery/Super-Capacitor Integration -- 1 Introduction -- 2 Optimization of Solar Energy Using MPPT Under Partial Shading Conditions -- 3 Power Management Battery/Super-capacitor -- 4 Simulation and Results -- 5 Conclusion -- References -- New Hybrid Optimized MPPT Technique for PV Systems Under Partial Shadow Conditions -- 1 Introduction -- 2 Design of the Proposed Methodology -- 2.1 HBA Based Algorithm for Maximum Power Generation -- 2.2 COA Based Stability Enhancement Optimization -- 3 Results and Discussion -- 4 Conclusion -- References -- Frequency Characterization of Water Solutions Used in Electrolysis for Production of H2 -- 1 Introduction -- 2 Experimental Setup -- 2.1 Materials Used -- 2.2 Precautions to Be Taken Prior to Starting the System -- 2.3 Experimental Work Methodology -- 3 Results and Discussions -- 3.1 Measurement of Impedances Before Discharge -- 3.2 Electrical Discharges in Sea and Tap Water -- 4 Conclusion -- References -- Robotics and Electrical Vehicle -- The Traction Chain of an Electric Vehicle -- 1 Introduction -- 2 Definition of an Electric Vehicle (EV) -- 3 The Traction Chain of an Ev -- 3.1 Battery -- 3.2 Power Converters -- 3.3 Electric Motors -- 4 Conclusion -- References -- A Comparative Study of Speed Control Strategies for In-Wheel Direct Current Machines in Electric Vehicles: PI, Fuzzy Logic, and Artificial Neural Networks -- 1 Introduction -- 2 Methods -- 2.1 Proportional-Integral (PI) Controller -- 2.2 Fuzzy Logic Controller -- 2.3 Artificial Neural Network Controller -- 3 Simulation and Results -- 3.1 Step Speed of 1500 rpm (Blue Signal) -- 3.2 Random Setpoint Speed (Green Signal) -- 4 Conclusion -- References.
,
Development of an Integral Fractional Order Super Twisting Sliding Mode Controller for Electric Vehicle -- 1 Introduction -- 2 System Model -- 2.1 Dual Star PMSM Mathematical Model -- 2.2 Proposed Controller -- 3 EV Battery System -- 4 Simulation Results -- 5 Conclusion -- References -- Bidirectional Charging Impact Analysis of Electric Vehicle Battery Cycle Aging Evaluation in Real World, Under Electric Utility Grid Operation -- 1 Introduction -- 2 Methodology -- 2.1 The Adopted System -- 2.2 Importance of Multi-year Approaches -- 2.3 The Used Storage Technology -- 3 Results and Discussion -- 3.1 Electric Vehicles -- 3.2 Production -- 3.3 Renewable Contribution -- 3.4 Utility Bill Details -- 3.5 Storage Pack -- 4 Conclusions -- References -- Hyperstability Criterion in Model Reference Adaptive Control: Enhancing Induction Motor Efficiency for Autonomous Electric Vehicles -- 1 Introduction -- 2 Induction Motor Modelling -- 3 Induction Motor Control System -- 3.1 Indirect Rotor Flux-Oriented Vector Control (IRFOC) -- 3.2 Adaptive Control -- 4 Simulation Results -- 5 Conclusion and Further Work -- References -- Pathfinding of a Mobile Robot by the Algorithm A Star (A*) -- 1 Introduction -- 2 Path Planning by the A* Algorithm -- 2.1 Procedure Algorithm -- 2.2 Description of the Algorithm A* [11-13] -- 3 Flowchart of the Simulation -- 4 Simulation Results -- 4.1 Experiment 1: Environment without Obstacles -- 4.2 Experience 2: Environment Contains Walls as Obstacles -- 4.3 Experience 3: Moving Robot in a Labyrinth -- 5 Conclusion -- References -- Task Scheduling in a Multiprocessor System -- 1 Introduction -- 2 Related Work -- 3 Our Proposal -- 3.1 Overview of the Proposed Approach -- 3.2 Assumptions and Constraints -- 3.3 Addressed Aspects -- 3.4 Functioning of the Proposed Approach -- 4 Case Study -- 4.1 Application Overview -- 5 Conclusion.
,
References.
Additional Edition:
Print version: Hatti, Mustapha IoT-Enabled Energy Efficiency Assessment of Renewable Energy Systems and Micro-Grids in Smart Cities Cham : Springer,c2024 ISBN 9783031606281
Language:
English
DOI:
10.1007/978-3-031-60629-8
Bookmarklink
