Household Electricity Consumption: A Study On The Role Of Micro-Renewable Energy Systems In Vietnam,
2023
University of Economics, Ho Chi Minh, Vietnam
Household Electricity Consumption: A Study On The Role Of Micro-Renewable Energy Systems In Vietnam, Luong Vinh Quoc Duy, Damien Cassells, Jim Hanly
Articles
Although nearly all households in Vietnam have connected to the national grid, electricity shortage in the residential sector is still an issue. One measure of residential electricity shortage is the micro-renewable energy system (micro-RES), but little is known about the drivers for household adoption of such system and whether the presence of a micro-RES can help to reduce household energy consumption. This paper examines the characteristics of households that have adopted a micro-RES and investigates whether the presence of micro-RES would result in a decrease in energy demand by using fixed-effects models. Analysis was carried out on the 2016 and …
Intelligent Beam Steering For Wireless Communication Using Programmable Metasurfaces,
2023
Technological University Dublin
Intelligent Beam Steering For Wireless Communication Using Programmable Metasurfaces, Nouman Ashraf, Taqwa Saeed, Hamidreza Taghvaee, Sergi Abadal, Vasos Vasos, Christos Liaskos Christos Liaskos, Andreas Pitsillides, Marios Lestas Marios Lestas
Articles
Future generations of wireless communications are envisioned to provide several Gbps data rates per user for billions of users simultaneously [1]. The proliferation of billions of Internet of Things (IoT) devices in various industries has pushed wireless networks to their limits in terms of the required capacity to effectively communicate the vast amounts of data that are generated [2]. Moreover, the increasing number of IoT devices is changing mobile communication services from interpersonal communication to smart interconnection among billions of devices. 6G is expected to fulfill the requirements of a fully connected world and provide ubiquitous wireless connectivity for all …
Investigation Of Dielectric And Mechanical Properties Of Lignocellulosic Rice Husk Fibril For High And Medium Voltage Electrical Insulation Applications,
2023
Department of EEE, Kongunadu College of Engineering and Technology, India
Investigation Of Dielectric And Mechanical Properties Of Lignocellulosic Rice Husk Fibril For High And Medium Voltage Electrical Insulation Applications, T. Rajamanikandan, S. Banumathi, B. Karthikeyan, R. Palanisamy, Mohit Bajaj, Hossam Zawbaa, Salah Kamel
Articles
The insulating material is made from rice husk and epoxy resin which are ecologically friendly and incredibly durable. When coarse Rice husk is mechanically disintegrated, fibrils are formed. By weaving together fibrillated threads, and robust biodegradables, lightweight dielectric fibers are created. Then the Composites are examined utilizing a blend of agave Rice husk fibers (10–35%) and an epoxy resin solution. The Chemical treatment of the Rice husk fibers increases the composites’ mechanical strength and electrical insulating properties. The tensile strength of Rice husk in epoxy composites is increased from 37.84 MPa to 48.32 MPa. The experimental results are compared using …
Topologically Optimized Electrodes For Electroosmotic Actuation,
2023
Old Dominion University
Topologically Optimized Electrodes For Electroosmotic Actuation, Jianwen Sun, Jianyu Zhang, Ce Guan, Teng Zhou, Shizhi Qian, Yongbo Deng
Mechanical & Aerospace Engineering Faculty Publications
Electroosmosis is one of the most used actuation mechanisms for the microfluidics in the current active lab-on-chip devices. It is generated on the induced charged microchannel walls in contact with an electrolyte solution. Electrode distribution plays the key role on providing the external electric field for electroosmosis, and determines the performance of electroosmotic microfluidics. Therefore, this paper proposes a topology optimization approach for the electrodes of electroosmotic microfluidics, where the electrode layout on the microchannel wall can be determined to achieve designer desired microfluidic performance. This topology optimization is carried out by implementing the interpolation of electric insulation and electric …
A Study On Peer-To-Peer Energy Trading Market In Low-Voltage Distribution Systems By Considering System Operation Criteria,
2023
Faculty of Engineering
A Study On Peer-To-Peer Energy Trading Market In Low-Voltage Distribution Systems By Considering System Operation Criteria, Pikkanate Angaphiwatchawal
Chulalongkorn University Theses and Dissertations (Chula ETD)
This dissertation investigates the challenges and proposes solutions for enhancing the efficiency and resilience of power systems through peer-to-peer (P2P) energy trading markets, focusing on the context of Thailand. It emphasizes assessing P2P energy transactions to prevent overloading of distribution lines and voltage fluctuations. The study proposes a method to determine the allowable maximum trading power (MTP) for sellers and buyers, considering the operating conditions of the distribution system and forecast error data of photovoltaic (PV) generation and load consumption and leveraging real-time data and algorithms to adjust trading power based on network constraints, ensuring power exchange does not affect …
Design And Development Of Industrial Internet Of Things For Multi-Cloud Factory Vehicle Monitoring System,
2023
Faculty of Engineering
Design And Development Of Industrial Internet Of Things For Multi-Cloud Factory Vehicle Monitoring System, Patchapong Kulthumrongkul
Chulalongkorn University Theses and Dissertations (Chula ETD)
Material handling equipment, such as forklifts, is broadly used in many industries to increase production efficiency. However, if the equipment unexpectedly breaks down, it can potentially interrupt manufacturing. It's beneficial for the industry to monitor equipment usage data in real-time so that engineers can identify faults before they occur. In this thesis, a prototype for a factory vehicle monitoring system has been designed and implemented. The proposed solution is to acquire real-time usage data from the motor drive of the factory vehicle and send the data to the cloud via narrowband IoT. The received real-time data streams can be stored …
Small Objects Detection In Aerial Imagery For System-On-Chip Fpgas,
2023
Faculty of Engineering
Small Objects Detection In Aerial Imagery For System-On-Chip Fpgas, Wimonthip Saenprasert
Chulalongkorn University Theses and Dissertations (Chula ETD)
Unmanned aerial vehicles (UAVs) offer significant advantages in accessing remote or high-risk locations. Yet, they also present challenges concerning privacy and safety. Effective air traffic management is crucial for ensuring compliance with security regulations. The primary objective is to monitor the flight trajectories of target objects in the airspace, necessitating efficient object detection, especially for distant objects, to facilitate surveillance and preparedness for addressing potential threats. However, the current performance of existing models in detecting small objects is inadequate for real-time surveillance applications. This study advocates prioritizing object detection over precise prediction of object bounding box sizes. We propose a …
Endoscopic Image Super-Resolution Algorithm Using Edge And Disparity Awareness,
2023
Faculty of Engineering
Endoscopic Image Super-Resolution Algorithm Using Edge And Disparity Awareness, Mansoor Hayat
Chulalongkorn University Theses and Dissertations (Chula ETD)
Integrating Stereo Imaging technology into endoscopic procedures marks a significant leap forward in medical imaging. This technology equips surgeons with enhanced depth perception and intricate views of internal structures, improving diagnostic accuracy and surgical precision. However, implementing stereo imaging in endoscopy presents certain challenges, such as low- resolution and blurred images that can compromise the quality of medical diagnoses and interventions. To address these issues, our research has developed a cutting-edge endoscopic image super-resolution model. This model incorporates a feature extraction module and a sophisticated cross-view feature interaction module, specifically designed to tackle the complexities of endoscopic images. It was …
Energy-Aware Ai-Driven Framework For Edge-Computing-Based Iot Applications,
2023
South East Technological University, Ireland
Energy-Aware Ai-Driven Framework For Edge-Computing-Based Iot Applications, Muhammad Zawish, Nouman Ashraf, Rafay Iqbal Ansari, Steven Davy
Conference papers
The significant growth in the number of Internet of Things (IoT) devices has given impetus to the idea of edge computing for several applications. In addition, energy harvestable or wireless-powered wearable devices are envisioned to empower the edge intelligence in IoT applications. However, the intermittent energy supply and network connectivity of such devices in scenarios including remote areas and hard-to-reach regions such as in-body applications can limit the performance of edge computing-based IoT applications. Hence, deploying state-of-the-art convolutional neural networks (CNNs) on such energy-constrained devices is not feasible due to their computational cost. Existing model compression methods, such as network …
Exploiting Multimode Antennas For Mimo And Aoa Estimation In Size-Constrained Iot Devices,
2023
rinity College Dublin, The University of Dublin, Dublin 2, Ireland
Exploiting Multimode Antennas For Mimo And Aoa Estimation In Size-Constrained Iot Devices, Abel Zandamela, Alessandro Chiumento Alessandro Chiumento, Alessandro Chiumento, Nicola Marchetti, Max Ammann, Adam Narbudowicz
Articles
This work proposes compact multimode Multiple-Input–Multiple-Output (MIMO) antennas for Angle of Arrival (AoA) estimation in miniaturized Internet of Things (IoT) systems. The method excites different orthogonal radiating modes (TM 21 , TM 02 , and TM 31 modes) for beamforming capabilities, and the AoA performance is investigated using the Multiple Signal Classification (MUSIC) algorithm, executed using numerical and experimental data. The technique is tested at 2.238GHz , while using an antenna diameter
Swarm Electrification: A Comprehensive Literature Review,
2023
Technological University Dublin
Swarm Electrification: A Comprehensive Literature Review, Stephen Sheridan, Keith Sunderland, Jane Courtney
Articles
In the global North, the need to decarbonize power generation is well documented and the challenges faced are endemic to the design of the electrical grids. With networks relying on centralized generation, it can be difficult to replace fossil-fuel power plants with renewable energy sources as generation may be intermittent causing grid instability when there is no ‘spinning reserve’ [1]. In parts of the global south, however, many under-electrified nations have high levels of solar irradiance. This, combined with falling prices for solar panels, is allowing for alternative paths to electrification from costly grid extensions and has resulted in grids …
Adaptive Fuzzy Supplementary Controller For Ssr Damping In A Series-Compensated Dfig-Based Wind Farm,
2023
Al-Azhar University, Cairo, Egypt
Adaptive Fuzzy Supplementary Controller For Ssr Damping In A Series-Compensated Dfig-Based Wind Farm, Mohamed Abdeen, Sayed Hosny Ahmed El-Banna, Sara Elgohary, Hend Mostafa, Nora Ghaly, Nourhan Adel, Zeinab Elkhwas, Mohamed Alahmady, Hossam Zawbaa, Salah Kamel
Articles
Although using a series compensation technique in a long transmission line effectively increases the transmittable power; it may cause a sub-synchronous resonance (SSR) phenomenon. Gate-controlled series capacitor (GCSC) is an effective method for SSR damping by controlling the turn-off angle. In the previous studies, a constant supplementary damping controller (SDC) was used for controlling the turn-off angle, which can mitigate the SSR phenomenon. However, these methods can not capture the maximum transmittable power at different operating points. In this paper, a fuzzy logic controller (FLC) is proposed to compute the gain of SDC based on the wind speed and the …
An Adaptive Vector Control Method For Inverter-Based Stand-Alone Microgrids Considering Voltage Reduction And Load Shedding Schemes,
2023
Birla Institute of Technology, Mesra, Ranchi, India
An Adaptive Vector Control Method For Inverter-Based Stand-Alone Microgrids Considering Voltage Reduction And Load Shedding Schemes, Sumit Kumar Jha, Deepak Kumar, Prabhat Ranjan Tripathi, Bhargav Appasani, Hossam Zawbaa, Salah Kamel
Articles
The droop mechanism is widely utilized in a stand-alone microgrid (MG) to regulate power-sharing among distributed generators (DG). However, over the years, the droop phenomena are continually modified to lessen the deviation in voltage and frequency parameters caused due to classical droop. This study suggests computing the droop coefficient for voltage–current (V–I) droop to take into account for proportional power distribution among DGs. In grid utility networks, the conservation voltage reduction (CVR) strategy is widely used to curtail the use of energy. Hence, this paper investigates the CVR's performance for stand-alone MG by performing the adaptive vector control scheme in …
H2020 Auto-Dan Project: Enhance The Participation Of The Community To Demand Response By Providing The State-Of-The-Art Technological And Policy Solution,
2023
Technological University Dublin, Ireland
H2020 Auto-Dan Project: Enhance The Participation Of The Community To Demand Response By Providing The State-Of-The-Art Technological And Policy Solution, Rene Peeren, Dharmesh Dabhi, John Dalton
Conference papers
The growing demand for electricity in Europe has increased the need for a more flexible and sustainable power system. In recent years, Demand Response (DR) has emerged as a promising solution to meet this need, by providing an opportunity for residential and smaller commercial consumers to actively participate in the electricity market. This research paper investigates the potential for DR among the residential community and small commercial electricity consumers in Europe and identifies the technological barriers and drivers that impact consumer engagement with DR programs in Europe. The different DR opportunities are identified and validated at the six different demo …
Quantum Classifiers For Video Quality Delivery,
2023
Technological University Dublin, Ireland
Quantum Classifiers For Video Quality Delivery, Tautvydas Lisas, Ruairí De Fréin
Conference papers
Classical classifiers such as the Support Vector Classifier (SVC) struggle to accurately classify video Quality of Delivery (QoD) time-series due to the challenge in constructing suitable decision boundaries using small amounts of training data. We develop a technique that takes advantage of a quantum-classical hybrid infrastructure called Quantum-Enhanced Codecs (QEC). We evaluate a (1) purely classical, (2) hybrid kernel, and (3) purely quantum classifier for video QoD congestion classification, where congestion is either low, medium or high, using QoD measurements from a real networking test-bed. Findings show that the SVC performs the classification task 4% better in the low congestion …
Optimising Electric Vehicle Charging Infrastructure In Dublin Using Geecharge,
2023
Technological University Dublin
Optimising Electric Vehicle Charging Infrastructure In Dublin Using Geecharge, Alexander Mutua Mutiso, Ruairí De Fréin, Ali Malik, Eliel Kibanza, Marco Sahbane, Maxime Pantel
Conference papers
Range anxiety poses a hurdle to the adoption of Electric Vehicles (EVs), as drivers worry about running out of charge without timely access to a Charging Point (CP). We present novel methods for optimising the distribution of CPs, namely, EV portacharge and GEECharge. These solutions distribute CPs in Dublin, in this paper, by considering the population density and Points Of Interest (POIs) or road traffic. The object of this paper is to (1) develop and evaluate methods to distribute CPs in Dublin city; (2) optimise CP allocation; (3) visualise paths in the graph network to show the most used roads …
Architecting Future Multi-Modal Networks Coexistence, Generalization & Testbeds,
2023
University at Albany, State University of New York
Architecting Future Multi-Modal Networks Coexistence, Generalization & Testbeds, Maqsood Ahamed Abdul Careem
Legacy Theses & Dissertations (2009 - 2024)
Next Generation (xG) wireless networks are poised to revolutionize the way people, devices, data and processes sense, communicate, interact, and collectively enable a wide range of emerging applications, ranging from smart cities, connected healthcare, and advanced vehicular communication to extended reality. To facilitate this seamless interoperability, these networks need to evolve to accommodate and integrate multiple modalities in communication/ sensing technologies and spectrum, heterogeneous networks, trends in signal-processing (statistical, AI-driven, and distributed systems), centralized and distributed architectures, and device/ network hardware resources. However, to cater to the high-target metrics and wide-range of applications, these multi-modal networks must efficiently address multi-faceted …
Optimal Battery Sizing For An Industrial Factory: A Hybrid Approach Using Particle Swarm Optimization And Load Estimation,
2023
Faculty of Engineering
Optimal Battery Sizing For An Industrial Factory: A Hybrid Approach Using Particle Swarm Optimization And Load Estimation, Muhammad Hammad Hassan
Chulalongkorn University Theses and Dissertations (Chula ETD)
Solar photovoltaic (PV) systems are crucial in addressing global energy demands with clean and renewable electricity. However, the intermittent nature of solar energy requires integrating batteries to ensure a reliable power supply. This study focuses on optimizing battery size for solar PV systems to balance energy storage during high irradiance periods and discharge during low sunlight, thereby enhancing system efficiency and cost-effectiveness. Accurate load forecasting and load estimation, essential for effective energy storage management, is achieved using long short-term memory (LSTM) networks, which excel in handling time series data. Particle Swarm Optimization (PSO) is then employed to determine the optimal …
Enhancing Traffic Safety In Unpredicted Environments With Integration Of Adas Features With Sensor Fusion In Intelligent Electric Vehicle Platform With Implementation Of Environmental Mapping Technology,
2023
Georgia Southern University
Enhancing Traffic Safety In Unpredicted Environments With Integration Of Adas Features With Sensor Fusion In Intelligent Electric Vehicle Platform With Implementation Of Environmental Mapping Technology, David S. Obando Ortegon
College of Graduate Studies: Theses & Dissertations
A major objective on society is to reduce the number of accidents and fatalities on the road for drivers, and pedestrians. Therefore, the automotive engineering field is working on this problem through the development and integration of safety technologies such as advanced driving assistance systems. For this reason, this work was intended to develop and evaluate the performance of different ADAS features and IV technologies under unexpected scenarios. This by the development of safety algorithms applied to the intelligent electric vehicle designed and built in this work, through the use of ADAS sensors based on sensor fusion. Evaluation of AEB, …
Single Image Super Resolution Using Deep Attention Network,
2023
Faculty of Engineering
Single Image Super Resolution Using Deep Attention Network, Jagrati Talreja
Chulalongkorn University Theses and Dissertations (Chula ETD)
This thesis introduces two innovative frameworks for Single Image Super Resolution (SISR) that enhances image quality while optimizing computational efficiency. The motivation for this research is driven by the need to overcome the limitations of current SISR techniques like capturing long-range dependencies, enhancing multi-scale feature learning, mitigating over-smoothing, and managing computational demands. The choice to incorporate attention mechanisms in both frameworks is motivated by their proven ability to allow the model to focus on the most relevant parts of the image, thereby improving the reconstruction of high-resolution details from low-resolution inputs. By integrating attention mechanisms with inception blocks, the proposed …
