Search results

Intro -- Preface -- Organization -- Contents -- Smart Cities and Green ICT Systems -- Energy Efficiency Indicators for Textile Industry Based on a Self-analysis Tool -- 1 Introduction -- 2 Energy Consumption in Textile -- 2.1 Energy Consumption in Yarn Manufacturing -- 2.2 Energy Consumption in Fabric Manufacturing -- 2.3 Energy Consumption in Finishing -- 3 Methods -- 3.1 Proposed Methodology -- 3.2 Energy Efficiency Indicators -- 3.3 The Factory Database -- 4 Results -- 4.1 Energy Efficiency Indicators in Textile -- 4.2 Energy Efficiency Indicators by Clustering of Textile -- 5 Discussion -- 6 Conclusion -- References -- Smart City: The Importance of Innovation and Planning -- 1 Introduction -- 2 Challenges of Urban Transformation Processes -- 3 Innovation and Planning: A Mutual Relationship -- 4 Smart City and Open Innovation -- 5 Conclusions -- References -- Making CCU Visible: Investigating Laypeople's Requirements for a Trusted, Informative CCU Label -- 1 Introduction -- 2 Theoretical Background on CCU Acceptance and Requirements for Product Labels -- 2.1 CCU Approach to Limit Fossil Resource Use in Industrial Production -- 2.2 Public Awareness and Perceptions of CCU Products -- 2.3 Information, Design, and Process Characteristics for a Trustful Product Label -- 2.4 Research Aims -- 3 Methods and Materials -- 3.1 Methodological Approach -- 3.2 Design Workshop -- 3.3 Online Survey -- 4 Results -- 4.1 Requirements for a Trusted, Informative CCU Label (n = 147) -- 4.2 Laypeople's Design Ideas for a CCU Label (n = 6) -- 4.3 Color Associations and Evaluations of the CCU Label Designs (n = 143) -- 5 Discussion -- 5.1 CCU Label Trust and Trust-Relevant Label Characteristics -- 5.2 Integrating Laypeople's Requirements in CCU Label Design -- 5.3 Implications for a Successful CCU Label Design -- 5.4 Limitations -- 6 Conclusion -- Appendix.

Intro -- Preface -- Organization -- Contents -- Smart Cities and Green ICT Systems -- Non-linear Autoregressive Neural Networks to Forecast Short-Term Solar Radiation for Photovoltaic Energy Predictions -- 1 Introduction -- 2 Methodology -- 2.1 The Multilayer Perceptron -- 2.2 System Identification -- 3 Neural Networks for Short-Term GHI Forecast -- 4 Results on GHI Forecast -- 5 PV Energy Estimation -- 6 Conclusions -- References -- Medical Freezers as Flexible Load for Demand Response in a Business Park Microgrid with Local Solar Power Generation*-12pt -- 1 Introduction -- 2 Methodology -- 2.1 Optimization Problem Formulation -- 2.2 Thermostatic Load Modeling -- 2.3 Model Interactions and Implementation of the DR Framework -- 3 Case Study -- 3.1 Model Inputs -- 3.2 Assumptions -- 3.3 Simulation Scenarios -- 4 Results -- 4.1 Comparison Between Simultaneous and Separate Optimization of Design Variables -- 4.2 Simulation Results Using Endpoint Constraints -- 5 Discussion -- 6 Conclusions -- References -- A MPC Based Peak Shaving Application for a Household with Photovoltaic Battery System -- Abstract -- 1 Introduction -- 1.1 Related Works -- 1.2 Comparison with Other Works -- 1.3 Power Flow Balance -- 1.4 Battery Storage Dynamics -- 1.5 Interaction with the Grid -- 1.6 PV Power Prediction -- 1.7 Load Demand -- 2 Model Predictive Control -- 2.1 Optimal Control Problem -- 2.1.1 Economic Benefit Assessment -- 2.1.2 Reduction in the Peaks of the Grid Power Flow -- 3 Experiment -- 3.1 MPC Implementation -- 3.2 PV Power Prediction Correction -- 3.3 Experiment Setup -- 3.4 Experiment Results -- 4 Results and Discussion -- 5 Conclusion -- References -- cloud.iO: A Decentralised IoT Architecture to Control Electrical Appliances in Households -- 1 Introduction -- 2 Context -- 3 Related Works -- 3.1 DR Deployment Architectures.

Intro -- Preface -- Organization -- Contents -- Invited Paper -- About Monitoring in a Service World -- 1 Introduction -- 2 Designing Monitoring Systems -- 3 Elements of Monitoring -- 3.1 Modeling the QoS -- 3.2 Modeling the Quality of the Monitoring -- 4 Use of Monitoring Data -- 4.1 Identifying Events -- 4.2 Condition Evaluation and Selection of Actions -- 4.3 Resources and Cost -- 5 Challenges and Future Research Work -- References -- Smart Cities and Green ICT Systems -- Analysing the Impact of Storage and Load Shifting on Grey Energy Demand Reduction -- 1 Introduction -- 2 Related Work -- 2.1 Modifying Energy Consumption -- 2.2 Negotiation Strategies -- 3 Energy Trade -- 3.1 Commodity Subsystem -- 3.2 Physical Subsystem -- 4 Preliminary Results -- 4.1 Simulation Settings -- 4.2 Energy Consumption -- 4.3 Consumption Reduction -- 4.4 Storage -- 4.5 Load Shiftting -- 4.6 Energy Prices -- 5 Conclusions and Future Work -- References -- Enhancing User Comfort in Demand Response Solutions for Water Heaters: User-Centric Hot Water Management -- 1 Introduction -- 1.1 Modeling User Comfort for Domestic Water Heaters -- 2 Preliminary Discussion -- 2.1 Domestic Hot Water Usage -- 2.2 WH Pre-heating Procedure -- 2.3 Flow Rate Control -- 3 Modeling Hot Water Supply -- 3.1 Water Heater Operation -- 3.2 Comfortable Tap Flow Rate -- 3.3 Effect on Thermal Comfort -- 4 Hot Water Management System (HWMS) -- 5 Uniting Water Pre-heating and Flow Rate Control -- 5.1 Estimation of Day-ahead Hot Water Usage -- 5.2 Water Heater Pre-heating Control -- 5.3 Comfort-Efficient Flow Rate Control and Updated Flow Comfort Model -- 5.4 Multi-objective Optimization and Pareto Front -- 6 Interacting with a User -- 7 Performance Evaluation and Validation -- 7.1 Estimation of Day-Ahead Hot Water Usage -- 7.2 Simulation Results -- 7.3 Discussion of Results.

Intro -- Preface -- Organization -- Contents -- Smart Cities and Green ICT Systems -- Designing Air Quality Monitoring Systems in Smart Cities -- 1 Introduction -- 2 Theoretical Background -- 2.1 Analytic Hierarchy Process -- 2.2 Cellular Automata -- 2.3 Operational Data Layers -- 3 Results -- 3.1 Sensor Positioning Through AHP and Cellular Automata -- 3.2 Smart City Monitoring System and Control Architecture -- 4 Conclusions -- References -- Identifying Requirements to Model a Data Lifecycle in Smart City Frameworks -- 1 Introduction -- 2 Objectives of this Paper -- 3 Issues of Data Lifecycle Modelling -- 4 Data Lifecycle Modelling Requirements -- 5 Development of a Taxonomy -- 6 Analysis of Smart Cities Frameworks -- 7 Illustrative Use Case -- 8 Discussion -- 9 Conclusion -- References -- A Spatial-Temporal Comparison of EV Charging Station Clusters Leveraging Multiple Validity Indices -- 1 Introduction -- 2 Related Work -- 3 Background -- 3.1 Partitioning Methods -- 3.2 Density Methods -- 3.3 Grid Methods -- 3.4 Hierarchical Methods -- 4 Methodology -- 4.1 Clustering Algorithm Selection -- 4.2 The Proposed Analytical Workflow -- 4.3 Clustering and Results Exploration -- 5 Implementation -- 6 Discussion of the Results -- 6.1 Week of May 27th, 2019 - (Reference Week) -- 6.2 Week of February 17th, 2020 -- 6.3 Week of March 02nd, 2020 -- 6.4 Week of July 29th, 2019 -- 6.5 Week of December 02nd, 2019 -- 6.6 Overall Results -- 7 Conclusions and Future Work -- References -- Facade Material Identification for Optimizing Building Energy Consumption Across Various WWRs for ECBC(Code) Compliant Buildings in Warm-Humid Climate, India -- 1 Introduction -- 1.1 Urbanization in India -- 1.2 Sustainable Development Goals -- 1.3 Energy Consumption Management in India -- 2 Methodology -- 2.1 Building Envelope Optimization: WWR, External Wall and Roof Slab Design.

This book constitutes the refereed post-conference proceedings of the 11th International Conference on Smart Cities and Green ICT Systems and 8th International Conference on Vehicle Technology and Intelligent Transport Systems, SMARTGREENS 2022 and VEHITS 2022 was held Virtually on April 27-29, 2022. The 7 full papers included in this book were carefully reviewed and selected from 80 submissions. They were organized in topical sections as follows: smart cities and green ICT systems and vehicle technology and intelligent transport systems

Intro -- Preface -- Organization -- Contents -- Smart Cities and Green ICT Systems -- Simulation of Modes of Electric Networks with Electric Transmission Lines Using Earth as Current-Live Part -- 1 Introduction -- 2 Double TWE Line -- 3 The TWE Line Build with Two Special Design Cables -- 4 The TWE Structure Based on Four Cables of a Standard Structure -- 5 Conclusions -- References -- On Developing Sustainable Deep Learning Applications Using Pre-calculating Energy Usage -- 1 Introduction -- 2 Energy Estimation of Application Systems -- 2.1 System Energy Estimation -- 2.2 Energy Estimation of a Computing Unit -- 3 Energy Modeling of Deep Learning -- 3.1 Background on DNN -- 3.2 Estimation of Number of MACs -- 3.3 Estimation of Number of Data Access -- 4 Case Studies of Smart Agriculture Systems -- 4.1 Case Study 1: Sensors -- 4.2 Case 2: Drones -- 4.3 Experiments and Initial Setup -- 5 Results for Case Study 1: Sensor Network -- 5.1 Effects from Network Structures -- 5.2 Effects from Bandwidths -- 5.3 Effects from Sensors and Servers Ratios -- 6 Case Study 2: Drone Network -- 6.1 Effects of the Size of the Area -- 6.2 Effects of Number of Servers and Number of Drones -- 6.3 Typical vs. Modern Drones -- 7 Evaluation, Limitation and Discussion -- 8 Related Work -- 9 Conclusions -- References -- An Evaluation of Smart City Models Towards a New Service Design Model*-4pt -- 1 Introduction -- 2 Smart City Models -- 2.1 Conceptual Smart City Models -- 2.2 Discussions for Conceptual Models -- 2.3 Structural Smart City Models -- 2.4 Discussions for Structural Models -- 3 Evaluation Criteria and Results -- 3.1 Service Structure -- 3.2 Interoperability -- 3.3 Multi-contextuality -- 3.4 Adaptability -- 4 New Model for Smart City Service Design -- 4.1 Types of Smart City Services: Background Services and Customer-Facing Services.