Article
Automation & Control Systems
Martin Guay, Mouhacine Benosman
Summary: This article presents an extremum-seeking control design that achieves finite-time stability of the optimum of an unknown measured cost function. The proposed technique is shown to achieve practical stability of the cost function's optimum in finite time. The main characteristic of this approach is that the target averaged system achieves finite-time stability, as demonstrated by a simulation study.
INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
(2021)
Article
Engineering, Chemical
Martin Guay
Summary: This study proposes an extremum-seeking controller design for unknown static maps with a combination of saturated and discrete actuators, while incorporating a filter for each uncertain actuator. The stability analysis shows that the closed-loop system has a practically asymptotically stable equilibrium at the unknown constrained optimum.
CANADIAN JOURNAL OF CHEMICAL ENGINEERING
(2022)
Article
Computer Science, Artificial Intelligence
Priyanka Singh, Samir Kumar Borgohain, Achintya Kumar Sarkar, Jayendra Kumar, Lakhan Dev Sharma
Summary: In this study, deep features are extracted from the portable executable header (PEH) information through hidden layers of a feed-forward deep neural network (FFDNN). The deep features of hidden layers improve the generalization performance for malware detection. The proposed model achieves a classification accuracy of 99.15% using the FFDNN-ML classifier with the GeLU activation function and internal discriminative deep features.
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
(2023)
Article
Automation & Control Systems
Guanru Li, Hao Fu, Rafal Madonski, Jacek Czeczot, Pawel Nowak, Krzysztof Lakomy, Li Sun
Summary: This article presents a feed-forward offset-free model predictive control method for thermal management in an open-cathode proton exchange membrane fuel cell (PEMFC). The results from simulations and hardware experiments demonstrate that the proposed method achieves faster temperature tracking and higher robustness.
Article
Automation & Control Systems
Martin Guay
Summary: This letter proposes a design of extremum seeking controllers that ensures the precise convergence of the control system to the unknown optimizer of a measured cost function. The method introduces an uncertainty estimation technique and an uncertainty set update algorithm to achieve the simultaneous convergence to the unknown optimum and removal of the dither signal. Asymptotic convergence to the unknown minimizer is achieved in the absence of measurement noise, as demonstrated in a simulation example.
IEEE CONTROL SYSTEMS LETTERS
(2021)
Article
Automation & Control Systems
Maliheh Sadeghi Kati, Hakan Koroglu, Jonas Fredriksson, Mohammad Manjurul Islam
Summary: This study proposes a control strategy to enhance the high-speed lateral performance of an A double combination vehicle by actively steering the dolly axles. The strategy combines an H1-type static output feedback (SOFB) based on previous work with dynamic disturbance feed-forward (DDFF). The accurate characterization of the disturbance is achieved through the use of a dynamic weighting filter. Novel linear matrix inequality (LMI) conditions are derived for the synthesis of a robust DDFF controller in cases where the plant depends on uncertain time-varying parameters. The simulation results utilizing a high-fidelity vehicle model demonstrate a significant reduction in rearward amplifications of yaw rate, lateral acceleration, and high-speed transient off-tracking during sudden lane change maneuvers.
JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME
(2023)
Proceedings Paper
Materials Science, Multidisciplinary
D. Sarathkumar, V. Kavithamani, S. Velmurugan, C. Santhakumar, M. Srinivasan, Ravi Samikannu
Summary: This paper presents the use of fuel cell as a STATCOM to enhance power system stability, with a fuzzy logic controller improving system performance. The FC STATCOM effectively reduces oscillations in the system under various fault conditions, showcasing its potential in improving transient stability.
MATERIALS TODAY-PROCEEDINGS
(2021)
Article
Energy & Fuels
Florentina Magda Enescu, Fernando Georgel Birleanu, Maria Simona Raboaca, Mircea Raceanu, Nicu Bizon, Phatiphat Thounthong
Summary: The transport sector is responsible for over 35% of CO2 emissions. Electric vehicles (EVs) have gained significant demand in recent years due to government support, leading companies to heavily invest in renewable energy-based EV charging stations. This study presents a comprehensive design for a photovoltaic energy-based EV charging station, considering factors such as solar radiation, panel efficiency, and energy management strategy. The design based on a power-following strategy significantly reduces battery capacity and cost compared to reference design. Three operating scenarios were analyzed for the power-following strategy.
Article
Chemistry, Inorganic & Nuclear
Banat Gul, Muhammad Salman Khan, Hijaz Ahmad, Phatiphat Thounthong
Summary: In this study, the structural, electronic, optical, and transport properties of Magnesium-based group II-VI materials were investigated using density functional theory calculations. The results showed that these materials are indirect bandgap semiconductors, with bandgaps of 1.17 eV for MgCdO2 and 0.51 eV for MgCdS2. The computed total density of states exhibited a sequential shift with increasing energy. The linear optical parameters, such as the real and imaginary parts of the dielectric function, were calculated and analyzed in detail. Additionally, the thermoelectric properties of these materials were computed, suggesting their efficiency for thermoelectric device applications.
JOURNAL OF SOLID STATE CHEMISTRY
(2023)
Correction
Physics, Multidisciplinary
A. Soleiman, Ahmed E. Abouelregal, Hijaz Ahmad, Phatiphat Thounthong
Article
Green & Sustainable Science & Technology
Bharati Sanjay Ainapure, Reshma Nitin Pise, Prathiba Reddy, Bhargav Appasani, Avireni Srinivasulu, Mohammad S. S. Khan, Nicu Bizon
Summary: Social media serves as a platform for communication, content sharing, and relationship building. This study utilizes text messages on Twitter to analyze the sentiments of Indian citizens towards the COVID-19 pandemic and vaccination drive. Deep learning and lexicon-based techniques are employed to classify the sentiments. The developed models, utilizing Bi-LSTM and GRU techniques, achieve high accuracies of 92.70% and 91.24% for the COVID-19 dataset, and 92.48% and 93.03% for the vaccination tweets classification. These models can provide valuable insights for healthcare workers and policymakers to make informed decisions during future pandemic outbreaks.
Article
Multidisciplinary Sciences
Sagnik Banerjee, Purba Dutta, Snehashish Basu, Sunil Kumar Mishra, Bhargav Appasani, Sarita Nanda, Yadgar I. Abdulkarim, Fahmi F. Muhammadsharif, Jian Dong, Amitkumar V. Jha, Nicu Bizon, Phatiphat Thounthong
Summary: A novel design of a terahertz metamaterial absorber is proposed, which can sense the variations in the refractive index of the surrounding medium. The absorber achieves nearly perfect absorption at 2.905 terahertz with a quality factor of 145.25. It exhibits high sensitivity to changes in the refractive index, making it suitable for gas sensing applications.
Article
Crystallography
Shruti, Sasmita Pahadsingh, Bhargav Appasani, Avireni Srinivasulu, Nicu Bizon, Phatiphat Thounthong
Summary: This research investigates a refractive index reconfigurable terahertz metamaterial absorber for gas sensing applications. The absorber displays positive permittivity and negative permeability, and its absorption spectrum reconfigures with changes in the surrounding medium's refractive index. The design, optimized through finite element method analysis, shows insensitivity to polarization angles and high sensitivity for detecting harmful gases.
Article
Computer Science, Information Systems
Amitkumar V. Jha, Bhargav Appasani, Nicu Bizon, Phatiphat Thounthong
Summary: The Smart Grid is a burgeoning technology for improving power systems, with the Synchrophasor Communication Network (SCN) being a crucial component. However, the SCN faces challenges such as failure in links and packet loss, which significantly impact the performance of the Smart Grid. This paper presents a novel analytical method using a graph-theoretic approach to assess the resiliency of the SCN, along with a simulation framework using Network Simulator-3 (ns-3) software to validate the method.
APPLIED SYSTEM INNOVATION
(2023)
Article
Energy & Fuels
Ioan Cristian Hoarca, Nicu Bizon, Ioan Sorin Sorlei, Phatiphat Thounthong
Summary: A comparative sizing design for renewable power systems was developed using HOMER and iHOGA simulators, and a detailed comparative analysis of the solutions obtained from both simulators was presented. The study showed that the design implemented in iHOGA resulted in a higher share of renewable energy, lower carbon dioxide emissions, and lower operating costs compared to HOMER. This indicates that the iHOGA design is more efficient and practical for hybrid renewable power systems.
Article
Energy & Fuels
Sunil Kumar Mishra, Amitkumar V. Jha, Bhargav Appasani, Nicu Bizon, Phatiphat Thounthong, Pongsiri Mungporn
Summary: This paper presents a method for ocean wave energy control using the Aquila optimization (AO) technique. The method focuses on an oscillating water column (OWC)-type wave energy converter fitted with a Wells turbine and doubly fed induction generator (DFIG). A backstepping controller (BSC)-based rotational speed control strategy is designed using the Lyapunov stability theory to achieve maximum power point tracking (MPPT) by controlling the rotor speed of the DFIG. An integral square error (ISE)-type fitness function is defined and minimized using the AO technique to find the optimal control parameters for the BSC. The results show that the AO technique outperforms particle swarm optimization (PSO) and a genetic algorithm (GA) in terms of rotor speed error and fitness function value.
Article
Chemistry, Analytical
Dibyendu Chowdhury, Bishnu Prasad De, Bhargav Appasani, Navaneet Kumar Singh, Rajib Kar, Durbadal Mandal, Nicu Bizon, Phatiphat Thounthong
Summary: This article investigates the performance of n-type junctionless double-gate MOSFET-based biosensors with and without gate stack. Dielectric modulation method is applied for biomolecule detection in the cavity. The sensitivity of the biosensors is evaluated and compared, showing significant improvement in the biosensors with gate stack. The proposed gate stack MOSFET-based biosensor demonstrates higher sensitivity and is suitable for low-power, high-speed, and high sensitivity applications.
Article
Computer Science, Information Systems
Brahim Deffaf, Naamane Debdouche, Habib Benbouhenni, Farid Hamoudi, Nicu Bizon
Summary: A new controller based on a fractional-order synergetic controller (FOSC) is proposed for a three-level T-type inverter using a shunt active power filter (SAPF). The proposed FOSC technique enhances the SAPF's ability to compensate for current harmonics and reactive power in all situations involving non-linear loads and source voltage variations. The results indicate that the proposed FOSC technique outperformed the traditional control in terms of DC voltage tracking and the minimization of the total harmonic distortion of the current.
Article
Physics, Condensed Matter
Banat Gul, Muhammad Salman Khan, Muhammad Aasim, Gulzar Khan, Hijaz Ahmad, Phatiphat Thounthong
Summary: In this study, we investigated the optoelectronic and thermoelectric properties of novel lead-free ASnI3 perovskite materials using density functional theory calculations. The materials showed the characteristics of indirect band-type semiconductors with a small bandgap for CsSnI3. The computed density of states and linear optical properties indicated the potential use of the materials in optoelectronic devices. Additionally, the materials exhibited promising thermoelectric parameters for use in thermoelectric devices.
PHYSICA B-CONDENSED MATTER
(2023)
Article
Computer Science, Information Systems
Mehrdad Ahmadi Kamarposhti, Phatiphat Thounthong, Ilhami Colak, Kei Eguchi
Summary: The islanded mode is a connection mode of the grid distributed generation resources, which utilizes a control method without current sensors or compensator elements to regulate the voltage and compensate the harmonic in the three-phase inverter connected distributed generation system. By applying two main loops, including voltage control loops and harmonic compensator loops, this method generates balanced three-phase sinusoidal voltage with acceptable total harmonic distortion at the joint connection point based on the simulation results in MATLAB/SIMULINK.
CMC-COMPUTERS MATERIALS & CONTINUA
(2023)
Article
Computer Science, Information Systems
Firas M. Makahleh, Ayman Amer, Ahmad A. Manasrah, Hani Attar, Ahmed A. A. Solyman, Mehrdad Ahmadi Kamarposhti, Phatiphat Thounthong
Summary: This paper investigates the installation of energy storage systems (EES) and their role in grid peak load shaving in two echelons, exploring their distribution and generation. The optimal placement and capacity of the energy storage is considered, and the charge-discharge strategy is determined using Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). The results show the significance of managing battery charge-discharge for load consumptions in terms of economy and technicality.
CMC-COMPUTERS MATERIALS & CONTINUA
(2023)
Article
Green & Sustainable Science & Technology
M. Genovese, F. Piraino, P. Fragiacomo
Summary: This research proposes the concept of a hydrogen valley in southern Italy, where hydrogen is produced centrally and delivered via fuel cell hybrid trains to refueling stations, providing transportation services. The analysis from both technical and economic perspectives shows that the cost of hydrogen and energy efficiency reached competitive levels, and hydrogen rail transport offers significant benefits in terms of emissions reduction and economic gains compared to conventional diesel trains and fully electric trains.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Miaomiao Liu, Payam Nejat, Pinlu Cao, Carlos Jimenez-Bescos, John Kaiser Calautit
Summary: This article provides a critical review of the performance of windcatchers, pointing out the current research gaps and issues, and proposing directions for further investigation and market prospects.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Solomon Boadu, Ebenezer Otoo
Summary: Despite Africa's vast energy resources, including wind energy, the continent faces challenges in developing its wind energy industry. Northern African countries and South Africa currently dominate the wind energy sector in Africa. To uplift Africa's socio-economic status, strong political will, supportive policies, and institutional frameworks are needed to drive the development of wind energy and overcome existing challenges.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
E. K. Grubbs, S. M. Gruss, V. Z. Schull, M. J. Gosney, M. V. Mickelbart, S. Brouder, M. W. Gitau, P. Bermel, M. R. Tuinstra, R. Agrawal
Summary: As the global population grows, the demand for food, energy, and water will increase significantly. However, limited land availability and competition for solar resources pose challenges to resource generation technologies. In the United States, both agriculture and solar energy production have adopted densification schemes to improve yields and energy output per unit of land. This research proposes an Agrivoltaic food and energy coproduction architecture that optimizes power generation while maintaining crop productivity by implementing ideal anti-tracking during critical growth periods. This technology offers a viable pathway for widespread solar implementation throughout the contiguous United States.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Han Shao, Rui Henriques, Hugo Morais, Elisabetta Tedeschi
Summary: The integration of offshore wind energy into the electric grid provides opportunities in terms of environmental sustainability and cost efficiency, but poses challenges to power quality. This survey offers a deeper understanding of disturbance detection and classification tools, exploring root causes, disturbance locations, and algorithmic solutions. It highlights synchronized waveform measurement and discusses evaluation metrics for detection and classification algorithms. Additionally, a novel system-wide monitoring framework is proposed.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Eleni Davidson, Yair Schwartz, Joe Williams, Dejan Mumovic
Summary: A continued upward trend in global greenhouse gas emissions poses risks to global infrastructure and built assets. Maintaining high indoor environmental quality standards is a challenge for higher education institutions under future climates. Passive cooling mechanisms may be insufficient to tolerate predicted temperature increases. Different building typologies have varying energy demand projections.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
Kexin Pang, Jian Zhou, Stamatis Tsianikas, David W. Coit, Yizhong Ma
Summary: This study proposes a new framework for long-term microgrid expansion planning, using deep reinforcement learning method to consider various uncertainties and constraints. The framework aims to enhance the effectiveness of microgrid expansion planning from the perspectives of economy, resilience, and greenhouse gas emission reduction.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
Jun Zhao, Kangyin Dong, Xiucheng Dong
Summary: The continuous growth of global electricity penetration has provided modern energy for alleviating energy poverty, but its impact on carbon neutrality has been overlooked. The research reveals that clean electricity from traditional fossil energy and renewable energy has a positive influence on the greenhouse effect. Eradicating energy poverty can effectively alleviate the greenhouse effect, especially in non-Belt and Road Initiative (B&RI) nations.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Hossein Shahbeik, Hamed Kazemi Shariat Panahi, Mona Dehhaghi, Gilles J. Guillemin, Alireza Fallahi, Homa Hosseinzadeh-Bandbafha, Hamid Amiri, Mohammad Rehan, Deepak Raikwar, Hannes Latine, Bruno Pandalone, Benyamin Khoshnevisan, Christian Sonne, Luigi Vaccaro, Abdul-Sattar Nizami, Vijai Kumar Gupta, Su Shiung Lam, Junting Pan, Rafael Luque, Bert Sels, Wanxi Peng, Meisam Tabatabaei, Mortaza Aghbashlo
Summary: This review explores the production of biocrude oil from biomass feedstocks through the process of hydrothermal liquefaction (HTL). It discusses the impact of process parameters on the quality, quantity, cost, and environmental impacts of biofuels. The review also highlights the challenges and prospects for the future development of biocrude oil.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
Meysam Majidi Nezhad, Mehdi Neshat, Georgios Sylaios, Davide Astiaso Garcia
Summary: Digital twins promise innovation for the marine renewable energy sector by using modern technological advances and the existing maritime knowledge frameworks. This research presents critical aspects of digital twin implementation challenges in marine energy digitalization approaches that use and combine data systems.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
Yeganeh Sharifian, Hamdi Abdi
Summary: This paper discusses the background and objectives of the multi-area economic dispatch problem, as well as various techniques and methods applied in this field. It also covers comprehensive formulations of the problem and important issues in the field of probabilistic MAED, along with some related concepts and suggestions.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
J. G. B. Churchill, V. B. Borugadda, A. K. Dalai
Summary: The increasing global energy demand and the need to reduce fossil fuel reliance have created a demand for renewable and sustainable fuel sources. This review explores the potential of tall oil, a by-product of the pulping industry, as a feedstock for biofuels. The review provides an overview of tall oil production, purification, and treatment, and investigates recent trends and barriers towards tall oil-derived biofuels.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
David C. Broadstock, Xiangnan Wang
Summary: This study provides a general review of research on district cooling, identifying key topics and themes and highlighting potential research priorities for future studies.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
L. Scharnhorst, D. Sloot, N. Lehmann, A. Ardone, W. Fichtner
Summary: This study investigates and analyzes the barriers to demand response in industrial and commercial sectors, highlighting their significance. Concerns about diminished product quality, disruptions to production processes, human resource management, and revenue uncertainty are identified as the most frequently cited barriers. Overcoming these barriers requires bridging knowledge gaps, allocating sufficient resources, and adapting external incentives and policies.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Tong Feng, Yuechi Sun, Yating Shi, Jie Ma, Chunmei Feng, Zhenni Chen
Summary: Air pollution is a significant global challenge, and policymakers have implemented policies to reduce it. Evaluating the effectiveness of these policies is critical, and our study reveals trends and gaps in air pollution policy research. We found that research has shifted from focusing solely on air pollutants to including methodologies, policies, and health implications. China has emerged as a major contributor in this field of research.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
