Article
Construction & Building Technology
Sebastian Blechmann, Igor Sowa, Markus Hans Schraven, Rita Streblow, Dirk Mueller, Antonello Monti
Summary: In this work, an open source platform based on the FIWARE software framework is used for experimental cloud control in the smart building and smart grid domains. Encryption, authentication, and authorization measures are implemented for communication between the platform and the field layer. The platform is validated and suitable for both use cases, but limitations and areas for improvement are identified.
AUTOMATION IN CONSTRUCTION
(2023)
Article
Chemistry, Multidisciplinary
Valentina Villa, Berardo Naticchia, Giulia Bruno, Khurshid Aliev, Paolo Piantanida, Dario Antonelli
Summary: The introduction of IoT in the construction industry is driving predictive maintenance development, with challenges in integration with BIM and real-time data acquisition. The research aims to integrate IoT alert systems with BIM models to monitor building facilities and propose preventive maintenance strategies.
APPLIED SCIENCES-BASEL
(2021)
Article
Energy & Fuels
Danielly B. Avancini, Joel J. P. C. Rodrigues, Ricardo A. L. Rabelo, Ashok Kumar Das, Sergey Kozlov, Petar Solic
Summary: The increase in energy consumption poses challenges to energy security and the environment, leading to the need for better consumer understanding and control. Smart meters, with advanced features such as smart control and bidirectional communication, are fundamental components in smart grids. Integration and efficiency improvements can be achieved through a single system approach.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Article
Chemistry, Analytical
Omar Munoz, Adolfo Ruelas, Pedro Rosales, Alexis Acuna, Alejandro Suastegui, Fernando Lara
Summary: This paper presents the design, construction, and validation of a smart meter with load control to address the issue of rising electricity consumption. The meter not only monitors energy consumption but also provides additional parameters, and its accuracy was proven through experimentation. The real-life application of the device was also demonstrated.
Article
Engineering, Chemical
Timothy Aljoscha Frede, Constantin Weber, Tobias Brockhoff, Tassilo Christ, Denis Ludwig, Norbert Kockmann
Summary: Unifying research data collection methods and capturing data streams in an organized and standardized manner are increasingly important in laboratories. The Internet of Things (IoT) not only minimizes time-consuming tasks but also supports scientists in curating data. A microscale reaction calorimeter was connected to an open-source IoT platform, and its process data was streamed for repository and analysis. The platform offers advantages for academia, and it was successfully tested in a hydrolysis reaction.
Article
Engineering, Multidisciplinary
Mehmet Gucyetmez, Husham Sakeen Farhan
Summary: The traditional electricity grid needs to be transformed into a smart grid infrastructure to address the increasing electricity demand and energy prices. Smart meters play a vital role in this transformation by enabling consumers to track their energy consumption and receive warnings. The developed Internet of Things (IoT) based smart meter has features like high data rate, bidirectional data transmission, and integration with fuzzy system and mobile application software.
ALEXANDRIA ENGINEERING JOURNAL
(2023)
Article
Computer Science, Information Systems
M. Usman Saleem, M. Rehan Usman, Mustafa Shakir
Summary: The rise in population and new devices has led to increased energy consumption, posing great challenges for energy management at the consumer side. Smart meters have evolved from simple energy measuring tools to main resources in energy management systems, offering various advantages. The Internet of Things is emerging as a key partner in the energy industry, facilitating effective resource management.
Article
Computer Science, Information Systems
Giuseppe Starace, Amber Tiwari, Gianpiero Colangelo, Alessandro Massaro
Summary: This work discusses the applications of the Internet of Things (IoT) in smart buildings, specifically focusing on energy consumption monitoring and forecasting systems, as well as indoor air quality (IAQ) control. The implementation involves low-cost hardware integrated with sensors and open source platforms for cloud data transmission, storage, and processing. Advanced data analytics techniques, such as SARIMA and LSTM, are used for accurate energy predictions. The results are developed within the framework of the D-SySCOM project, aiming to provide modular and cost-effective solutions for energy efficiency and wellness in public indoor environments.
Review
Chemistry, Analytical
Wahiba Yaici, Karthik Krishnamurthy, Evgueniy Entchev, Michela Longo
Summary: Through a review of the current application of IoT systems and technologies in building energy use, it is concluded that these applications have significant potential for energy savings and improvement of user comfort. User-specific factors need to be considered in the decision-making process, while prospective research should focus on various aspects.
Article
Energy & Fuels
Naga Devi Chinnathambi, Kamaraj Nagappan, Charles Raja Samuel, Karthik Tamilarasu
Summary: This article proposes a smart residential building energy management system based on an IoT multifunction compatible relaying system to address challenges such as energy conversion losses and load dynamics in PV-based DC power distribution systems. The system monitors loads, provides uninterruptible power supply with minimal conversion losses, and achieves optimal load configuration and demand-side management.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Engineering, Multidisciplinary
Eduardo Viciana, Francisco M. Arrabal-Campos, Alfredo Alcayde, Raul Banos, Francisco G. Montoya
Summary: The traditional power grid is transforming into a smart grid that requires precise monitoring strategies to determine grid status in real-time. This paper introduces the three-phase openZmeter (3Ph-oZm), an all-in-one low-cost device based on open-hardware and open-source software, capable of measuring and computing electrical data related to energy and power quality features in three-phase power networks. It performs advanced computations for voltage, current, frequency, power, and energy, and can process high order harmonics and log power quality disturbance events. The system has been calibrated and validated using laboratory testing and real-world applications.
Article
Energy & Fuels
T. Karthick, Charles S. Raja, Jeslin Drusila J. Nesamalar, K. Chandrasekaran
Summary: The paper discusses the crucial role of IoT in the energy sector, proposing a Commercial Building Energy Management System using smart energy meters for monitoring and control, as well as Demand Side Management for optimizing load patterns in commercial buildings. Real-time operation and remote validation are utilized for monitoring and controlling commercial appliances.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2021)
Review
Computer Science, Information Systems
Liang Yu, Shuqi Qin, Meng Zhang, Chao Shen, Tao Jiang, Xiaohong Guan
Summary: Global buildings contribute to a significant portion of energy consumption and carbon emission, calling for the development of smart building energy management technologies. However, challenges such as accurate thermal dynamics models, uncertain system parameters, and spatial-temporal operational constraints must be addressed. Deep reinforcement learning shows promise in overcoming these challenges, but a systematic overview of its application in SBEM is currently lacking.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Review
Engineering, Multidisciplinary
Aniket Babuta, Bhavna Gupta, Abhimanyu Kumar, Souvik Ganguli
Summary: This paper provides a comprehensive survey on power and energy measurement devices, focusing on the development of wattmeters in various systems. It also discusses the evolution of energy measurement instruments from simple to complex structures, as well as the introduction of smart meters and the internet of energy. The future of the power sector in relation to current technology and energy theft is also explored, offering a direction for future research.
Article
Computer Science, Information Systems
Kuldeep Sharma, Arun Malik, Isha Batra, A. S. M. Sanwar Hosen, Md Abdul Latif Sarker, Dong Seog Han
Summary: This paper provides an overview of the emerging technologies behind smart grids and the internet of things. It identifies dependent variables based on electricity consumption patterns to ensure uninterrupted and reliable power supply. Additionally, it addresses challenges in the traditional electricity grid, power generation, transmission, distribution, and revenue management, proposing reforming techniques to fully smart or automatic systems. This article represents a concise review of research works in creating components of the smart grid such as smart metering infrastructure and communication systems.
CMC-COMPUTERS MATERIALS & CONTINUA
(2023)
Article
Engineering, Electrical & Electronic
Sawsan Sayed, Ahmed Massoud
ELECTRIC POWER SYSTEMS RESEARCH
(2020)
Article
Engineering, Electrical & Electronic
Sawsan Sayed, Ahmed Massoud
IET GENERATION TRANSMISSION & DISTRIBUTION
(2020)
Article
Energy & Fuels
Heba M. Abdullah, Rashad M. Kamel, Anas Tahir, Azzam Sleit, Adel Gastli
Article
Energy & Fuels
Yassine Chemingui, Adel Gastli, Omar Ellabban
Article
Engineering, Electrical & Electronic
Sawsan S. Sayed, Ahmed M. Massoud
Summary: The paper investigates the design of adaptive DC voltage droop control with different approaches based on permitted converters' global and/or local AH and Loading Factor (LF). It also presents modified adaptive droop control methods and a droop gain perturbation technique to achieve power-sharing based on converters' AH and LF. Additionally, the impact of Multi-Updated (MU), Single-Updated (SU), and Irregular-Updated (IU) droop gains is explored to minimize power-sharing burden on converters while maintaining DC grid constraints.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Computer Science, Information Systems
Heba M. Abdullah, Adel Gastli, Lazhar Ben-Brahim, Semira O. Mohammed
Summary: Integrating plug-in electric vehicle (EV) infrastructure and photovoltaic (PV) systems is a key solution to address energy efficiency and sustainable mobility. This research proposes a comprehensive planning and analysis tool that combines solar power generation for micro-scale projects of EV Charging Stations (EVCS). The case study conducted at Qatar University (QU) campus evaluates the performance of the presented framework. The findings demonstrate that the proposed planning framework can optimize the staging plan for EV and PV infrastructure based on policy choices, achieving maximum economic and environmental targets.
Article
Computer Science, Information Systems
Mohamed Trabelsi, Lazhar Ben-Brahim, Adel Gastli, Haitham Abu-Rub
Summary: This paper proposes an enhanced Deadbeat Controller (DBC) for a grid-tied Flying Capacitors Inverter (FCI). The proposed DBC guarantees the balancing of the capacitors' voltages while injecting current to the grid with lower Total Harmonics Distortion (THD). The proposed controller has improved current tracking quality, superior steady-state performance, and robustness to parameter variation.
Article
Computer Science, Information Systems
Heba M. Abdullah, Adel Gastli, Lazhar Ben-Brahim, Semira O. Mohammed
Summary: With the global greenhouse gas emissions targets, governments around the world are speeding up the adoption of electric vehicles (EVs). However, one of the key challenges in designing the novel EV system is to forecast the accurate time for the replacement of conventional vehicles and optimization of charging vehicles. Therefore, the optimal placement of charging stations is one of the most important issues to address to increase the use of electric vehicles.
Article
Computer Science, Information Systems
Anas Berbar, Adel Gastli, Nader Meskin, Mohammed A. Al-Hitmi, Jawhar Ghommam, Mostefa Mesbah, Faical Mnif
Summary: Smart transportation cities rely on intelligent systems and data sharing to enhance driving behavior and reduce traffic delays and fuel consumption. This paper proposes a Double Agent intelligent traffic signal module based on Reinforcement Learning, which improves driving efficiency and fuel efficiency by controlling speed and signal sequencing. Simulation studies show that this module outperforms traditional models in reducing delays and improving fuel efficiency.
Review
Computer Science, Information Systems
Sareh Badnava, Nader Meskin, Adel Gastli, Mohammed A. Al-Hitmi, Jawhar Ghommam, Mostefa Mesbah, Faical Mnif
Summary: Connectivity and autonomy are key technologies that can improve mobility, fuel consumption, travel time, and traffic safety in the automated transportation industry. Vehicle platooning, which involves a group of connected automated vehicles traveling together at consensual speed, has been reviewed in terms of control techniques, vehicle dynamics, and trajectory planning. Different control algorithms for both longitudinal and lateral control, as well as trajectory planning techniques, have been discussed, along with potential open issues and directions for future research.
Article
Computer Science, Information Systems
Ammar Yousaf Kharal, Hassan Abdullah Khalid, Adel Gastli, Josep M. Guerrero
Summary: This paper discusses the issue of non-technical losses in developing countries in natural gas and electricity distribution, proposing a machine learning solution based on multivariate Gaussian distribution to reduce NTLs by identifying fraudulent consumers, with a maximum success rate of 75%.
Review
Computer Science, Information Systems
Heba M. Abdullah, Adel Gastli, Lazhar Ben-Brahim
Summary: In order to address energy shortages and global warming, integration of renewable energy sources, energy storage systems, and plug-in electric vehicles has been introduced in recent years. The application of electric vehicles in the smart grid has proven to be an important option for reducing carbon emissions, but managing the charging and discharging processes of electric vehicles as distributed power supplies poses a significant challenge due to limited battery capacities.
Article
Computer Science, Information Systems
Hassan Abdullah Khalid, Carlo Cecati, Nasser Ahmed Al-Emadi, Adel Gastli, Lazhar Ben-Brahim
Summary: This paper introduces a novel single-loop flatness-based controller for grid-side current control in a shunt converter connected to a weak grid. Experimental results demonstrate that the proposed controller outperforms traditional vector current control methods in terms of tracking capability and dynamic response.
Article
Computer Science, Information Systems
Sawsan S. Sayed, Ahmed M. Massoud
Summary: This paper presents a generalized classification of DC voltage control methods in an MTDC system, including traditional and non-traditional control methods; control objectives include power sharing, minimization of transmission losses, etc.; control methods are evaluated and simulated on a 4-terminal radial MTDC network, considering factors such as control methods and objectives, system efficiency, etc.
Article
Computer Science, Information Systems
Ula Hijawi, Devrim Unal, Ridha Hamila, Adel Gastli, Omar Ellabban
Summary: The research proposes an integrated system that deploys a lightweight KPABE security built on wireless mesh networking for IoT environments. Implementation results show flexibility and scalability of self-forming and cooperative mesh networking, along with fine-grained security access structure for IoT nodes. Additionally, a case study in a school building for optimizing energy efficiency is introduced, where the proposed integrated system architecture is deployed on IoT sensing and actuating devices with well-defined encryption attributes and access policy.
