Article
Chemistry, Physical
Michael S. Okundamiya, Samuel T. Wara, Hope I. Obakhena
Summary: The dearth of digital technology has a significant impact on the well-being of excluded individuals. This paper proposes an optimized model of a mixed power system for the deployment of modern mobile infrastructure, aiming for clean and sustainable development. The results show that the model can reliably and competitively meet energy demand, with a significant reduction in energy costs, facilitating the transition from traditional grid-diesel models to cleaner and more sustainable alternatives.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2022)
Article
Energy & Fuels
Nathan P. Siegel, Ben Conser
Summary: Current atmospheric water harvesting (AWH) technologies are energy-intensive and costly, limiting their deployment, thus there is a need to reduce the energy required to produce a unit of water; A novel desiccant-based AWH approach internally recovers latent heat of vaporization resulting in significant energy consumption reduction; Solar-driven AWH can achieve lower production costs when both latent and sensible energy are internally recovered.
JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME
(2021)
Article
Thermodynamics
Mohammed Ali Khan, Navid Bayati, Thomas Ebel
Summary: This research introduces a cutting-edge Power-to-Hydrogen (PtH) framework that optimizes power flow within a microgrid equipped with renewable energy and energy storage systems. It adopts a sophisticated mathematical solution, short-term forecasting, and an artificial neural fuzzy inference system to achieve the optimal balance between power generation and consumption. The study convincingly demonstrates the economic advantages of using hydrogen as an energy storage medium.
ENERGY CONVERSION AND MANAGEMENT
(2023)
Article
Computer Science, Information Systems
Raphael Kiesel, Sarah Schmitt, Niels Konig, Maximilian Brochhaus, Thomas Vollmer, Kirstin Stichling, Alexander Mann, Robert H. Schmitt
Summary: The paper analyses the techno-economic benefits of 5G deployment for closed-loop control systems in production, introduces the basics of techno-economic analysis, presents the results of experimental performance analysis of 5G-NSA-NPN, and conducts a model-based techno-economic ex-ante evaluation for closed-loop applications using exemplar of BLISK milling. The analysis shows a difference in net present value of EUR 2.6 million after 10 years and a difference of OPEX per product of around EUR -1000 per BLISK, with increases in productivity (0.73%), quality (30.75%), and sustainability (2.87%).
Review
Energy & Fuels
Amit Kumar, Prerna Jain, Satish Sharma
Summary: Distributed energy resources have advantages in reducing power transmission losses and environmental pollution, but also bring security issues and demand-supply imbalances. Microgrid and networked microgrid based energy management can facilitate renewable integration, but require appropriate approaches. Transactive energy is an emerging technology that uses market mechanisms for energy management, with techno-economic perspectives and challenges.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Engineering, Mechanical
Ying Zhang, Changshun Ding, Jie Wang, Junyi Cao
Summary: This research proposes a method for achieving high-energy harvesting through sliding mode control with rotatable magnets actuated by a micro-motor. Experimental results demonstrate the effectiveness of this method in reaching high-energy orbits, providing a practical application for nonlinear energy harvesting.
NONLINEAR DYNAMICS
(2021)
Article
Automation & Control Systems
Ajay Kumar Sampathirao, Steffen Hofmann, Joerg Raisch, Christian Andreas Hans
Summary: In this paper, a model predictive control based operation strategy is proposed to enable power exchange between interconnected microgrids, ensuring that each microgrid benefits from the exchange. The overall control problem is formulated as a mixed integer quadratically-constrained program and solved using a distributed algorithm that updates continuous and integer variables iteratively. The performance and computational benefits of the strategy are demonstrated in a case study.
Review
Chemistry, Physical
Charles Geffroy, Drew Lilley, Pedro Sanchez Parez, Ravi Prasher
Summary: Despite significant research on waste-heat conversion (WHC), the market penetration of such technologies remains limited due to insufficient attention given to the techno-economic aspects. Studies indicate that WHC heat engines are economically viable only for temperatures above 150 degrees C and power output in the range of 100 kW to 1 MW.
Article
Energy & Fuels
Mohamed Hany Abokersh, Manel Valles, Kangkana Saikia, Luisa F. Cabeza, Dieter Boer
Summary: The study evaluated the techno-economic benefits of different control strategies for a heat pump integrated into a solar assisted district heating system. The system was optimized using a genetic algorithm and applied to a residential neighborhood in Madrid. Results showed significant impact of heat pump control on techno-economic benefits and improved seasonal storage efficiency up to 90%.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Automation & Control Systems
Zhenzhen Pan, Zhongsheng Hou, Ronghu Chi
Summary: This paper investigates the data-driven consensus tracking problem for heterogeneous multi-agent systems. A dynamic linearisation method is introduced to deal with the nonlinear nonaffine structures of the agents and a heterogeneous linear data model for the agent is obtained due to the heterogeneous dynamics of the agent itself. Two distributed model-free adaptive predictive control (DMFAPC) algorithms are proposed to improve control performance by utilizing additional predictive information. Numerical simulations are conducted to verify the effectiveness of the proposed methods.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2022)
Article
Green & Sustainable Science & Technology
Che Cameron, Sean Mcloone, Dylan Daniel Furszyfer Del Rio, David Rooney, Aoife Foley
Summary: This study analyzes the co-location of wastewater treatment plants and hydrogen facilities, and evaluates the feasibility of this combination from a techno-economic perspective. The study finds that by-product oxygen from hydrogen production can improve the efficiency of wastewater treatment, but its market value contribution is expected to be less than 1%. Therefore, it can be used to subsidize hydrogen production costs or as an energy recovery method.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Green & Sustainable Science & Technology
Adam E. Malek, Benjamin M. Adams, Edoardo Rossi, Hans O. Schiegg, Martin O. Saar
Summary: Advanced Geothermal Systems (AGS) generate electric power through conductive heat transfer from rocks using a closed-loop circuit. However, AGS is currently uneconomical due to its slow heat transfer rate compared to heat advection. The use of CO2 as the working fluid improves AGS performance, and there are optimal parameters that minimize AGS costs. Nevertheless, significant advancements in drilling technologies are necessary to make AGS cost-competitive.
Article
Automation & Control Systems
Arash Bahari Kordabad, Sebastien Gros
Summary: This paper investigates the closed-loop stability of an Economic Nonlinear Model Predictive Control (ENMPC) scheme and proposes a solution to the difficulty in finding a storage function by using a parameterized approach. Q-learning is used to adjust the parameters. Numerical examples demonstrate the effectiveness of the proposed method.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2022)
Article
Energy & Fuels
Andrew J. Hutchinson, Daniel T. Gladwin
Summary: This paper presents a detailed techno-economic analysis of hybrid systems' control strategies in providing frequency response services. It identifies three strategies with the most potential and provides the novel range of prices that flywheel manufacturers need to achieve for viability in this field.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Engineering, Chemical
Marina Micari, Xuekui Duan, Kumar Varoon Agrawal
Summary: This study proposes the use of a water harvesting device based on high-performance membranes to produce water from air in a decentralized manner. The device consists of a single membrane stage to increase the purity of water vapor in air and a condenser to produce liquid water. The research also finds that increasing water vapor permeance and optimizing channel geometry can reduce costs and improve the efficiency of the process. The simulation of yearly operation in a semi-arid region shows attractive values of water cost, making this membrane-based process an important contribution to alleviating water shortage issues.
JOURNAL OF MEMBRANE SCIENCE
(2023)
Article
Statistics & Probability
Balasubramaniam Natarajan, Weixing Song
Summary: In this paper, an adaptive nonparametric regression estimation procedure with a finite interval support for the covariate is proposed. The kernel estimator based on the Beta density function is investigated for its large sample properties, including asymptotic normality and uniform convergence. Guidelines for bandwidth selection using data-driven approach are suggested. The finite sample performance of the proposed estimator is evaluated through simulation study and real data application.
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS
(2022)
Article
Telecommunications
Yi Sun, Guojun Han, Chang Liu, Yixin Wang, Yi Fang
Summary: With the rapid growth of data, DNA is considered as a promising storage medium due to its durability, large capacity, and high density. However, errors in DNA synthesis and sequencing processes, especially substitutions, pose challenges for data reliability. To address this issue, the study proposes the use of LDPC codes and error types as additional information to improve error correction under the specific asymmetric DNA channel. Simulation results demonstrate a significant reduction in bit error rate (BER) of up to 33% compared to previous works.
IEEE COMMUNICATIONS LETTERS
(2023)
Article
Engineering, Electrical & Electronic
Yingge Li, Guojun Han, Sanwei Huang, Chang Liu, Meng Zhang, Fei Wu
Summary: This paper proposes a solution to improve the reliability and reduce the cost of implementing flash memories. A pre-processing method is used to reduce the number of scanning voltage steps, reducing the time and energy consumption of multiple read operations. The proposed single state asynchronous estimation (SSAE) method is shown to reduce computational and space overhead compared to the two-state asynchronous estimation (TSAE) method, and it also reduces RBER without exact knowledge of noise.
IEEE TRANSACTIONS ON CONSUMER ELECTRONICS
(2023)
Article
Engineering, Electrical & Electronic
Zheng Xue, Chang Liu, Canliang Liao, Guojun Han, Zhengguo Sheng
Summary: Vehicular edge computing (VEC) is a new computing paradigm that enhances vehicular performance by introducing computation offloading and service caching. However, the dynamic topology of vehicular networks and limited caching space at edge servers require intelligent design of caching placement and computation offloading. This paper investigates a joint optimization problem by integrating service caching and computation offloading, and proposes an algorithm based on deep reinforcement learning to obtain a suboptimal solution. Simulation results show that the proposed scheme exhibits effective performance improvement in task processing delay.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Computer Science, Artificial Intelligence
Sai Munikoti, Deepesh Agarwal, Laya Das, Balasubramaniam Natarajan
Summary: Graph Neural Networks (GNN) combine Graph theory with Machine learning to model and analyze networked data. This study focuses on quantifying the uncertainty in GNN predictions resulting from modeling errors and measurement uncertainty. A Bayesian framework is proposed to incorporate both aleatoric and epistemic uncertainty, with Assumed Density Filtering for aleatoric uncertainty and Monte Carlo dropout for uncertainty in model parameters. The Bayesian model performs similarly to a frequentist model and provides additional information about uncertainty in data and model.
Article
Computer Science, Information Systems
Dylan Wheeler, Balasubramaniam Natarajan
Summary: As the demand for data continues to grow exponentially, semantic communication has emerged as an efficient solution. Unlike traditional communication systems, semantic communication focuses on accurately conveying meaning rather than transmitting symbols. This survey explores the history, current state, and various approaches to engineering semantic communication, including classical semantic information, knowledge graphs, deep learning techniques, and goal-oriented communication. The survey also introduces a novel context-based design framework for semantic communication systems, inspired by natural human communication. Overall, this survey serves as a useful guide for the design and implementation of semantic communication systems.
Article
Telecommunications
Dylan Wheeler, Erin E. Tripp, Balasubramaniam Natarajan
Summary: Despite being published over 70 years ago, Shannon and Weaver's Mathematical Theory of Communication still applies to all communication systems at the technical level. In this letter, we argue for the significance of transitioning to the semantic level as an important step in the evolution of communication technologies. We propose a novel approach using conceptual spaces and functional compression to engineer semantic communication, demonstrating a 99.79% rate reduction in simulating image semantics.
IEEE COMMUNICATIONS LETTERS
(2023)
Article
Engineering, Electrical & Electronic
Mohammad Abujubbeh, Sai Munikoti, Anil Pahwa, Balasubramaniam Natarajan
Summary: Power distribution systems are undergoing changes due to the integration of renewable energy, the penetration of electric vehicles, and the active participation of consumers in the energy market. To assess the impact of these changes, utilities need to quantify power loss. This paper proposes a probabilistic loss sensitivity framework to accurately approximate the impact of random power changes on power losses, providing a simpler and more efficient approach compared to existing methods.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2023)
Article
Engineering, Civil
Yuchen Li, Isaac Elishakoff, Noel Challamel
Summary: In this paper, the lateral deflection of a simply supported periodic stepped beam under uniform load is investigated using an analytical method. Each element of the biperiodic stepped beam is treated as a Euler-Bernoulli beam, and the coefficients for each element caused by the jump of the bending rigidity are calculated. The continuous deflection problem of the multi-stepped repetitive beam is formulated as a linear first-order difference equation with second member. With these coefficients, the deflection at mid-span of the biperiodic beam is analytically found in exact form. This deflection is compared to the results of a finite element model and shows satisfactory agreement.
INTERNATIONAL JOURNAL OF STRUCTURAL STABILITY AND DYNAMICS
(2023)
Article
Engineering, Electrical & Electronic
Aabila Tharzeen, Balasubramaniam Natarajan, Babji Srinivasan
Summary: In this paper, the problem of transmission system state estimation based on PMU measurements is considered, and two PMU data integrity attacks, TSA and MitM attacks, are analyzed. A novel method based on an alternate expectation-maximization framework is proposed to mitigate the effects of these attacks on the state estimation process. Numerical tests on different attack scenarios validate the accuracy of the developed method on IEEE-14, 30 and 118 bus systems.
ELECTRIC POWER SYSTEMS RESEARCH
(2023)
Article
Engineering, Electrical & Electronic
Shweta Dahale, Anil Pahwa, Balasubramaniam Natarajan
Summary: In this paper, a novel phase identification approach is proposed for unbalanced distribution networks. The approach utilizes nodal voltage magnitude measurements to cluster the phase connectivity information and infers the connectivity of the entire multi-phase distribution network in a single shot. Simulation results demonstrate the accuracy and superiority of the proposed approach under different scenarios.
IEEE TRANSACTIONS ON POWER DELIVERY
(2023)
Article
Engineering, Electrical & Electronic
Shweta Dahale, Balasubramaniam Natarajan
Summary: The transition to a smarter grid is driven by enhanced sensor deployments and smart metering infrastructure. However, the measurements from these sensors and meters are sampled at different rates and could be intermittent. A recursive multi-task Gaussian process (RGP-G) approach is proposed in this paper to tackle the problem of reconciling multi time-scale measurements in distribution systems.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Aabila Tharzeen, Balasubramaniam Natarajan, Babji Srinivasan
Summary: This paper focuses on the problem of transmission system state estimation using measurements from multiple PMUs, and analyzes a potential severe impact attack called PMU data integrity attack, specifically the Man-in-the-Middle (MitM) attack. A novel method based on an alternate expectation-maximization framework is proposed to mitigate the effects of these attacks on the state estimation process. Numerical tests on IEEE-14, 30, and 118 bus systems with different attack scenarios are conducted to validate the accuracy of the developed method, without requiring prior knowledge of the attack location or the number of meters being attacked.
2023 IEEE POWER & ENERGY SOCIETY INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE, ISGT
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Shweta Dahale, Sai Munikoti, Balasubramaniam Natarajan, Rui Yang
Summary: Under a smart grid paradigm, sensor installations have been increased to enhance situational awareness. However, the measurements from these sensors are typically irregularly sampled and may also be intermittent due to communication bandwidth limitations. To address this issue, this paper proposes a novel latent neural ordinary differential equations (LODE) approach to aggregate the unevenly sampled multivariate time-series measurements. The proposed approach is flexible in performing both imputations and predictions while maintaining computational efficiency. Simulation results on IEEE 37 bus test systems demonstrate the efficiency of the proposed approach.
2023 IEEE POWER & ENERGY SOCIETY INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE, ISGT
(2023)
Article
Computer Science, Information Systems
Sai Munikoti, Mohammad Abujubbeh, Balasubramaniam Natarajan
Summary: This article emphasizes the importance of improving the resilience of power distribution networks for utility companies and identifies gaps in current robustness analysis metrics. It presents a systematic study comparing different metrics and evaluating their effectiveness in characterizing voltage fluctuations. The results show that hybrid failure-based metrics can reasonably quantify voltage fluctuations.
Article
Engineering, Electrical & Electronic
Purabi Sharma, Kandarpa Kumar Sarma
Summary: Electronic Warfare (EW) is becoming increasingly important with the proliferation of radio frequency (RF) systems and radar applications. This paper proposes an automatic approach based on continuous wavelet transform and a combination of convolutional neural network, multi-head self-attention mechanism, and long short-term memory for recognizing different types of pulse repetition interval modulation. The proposed method enhances performance and achieves robustness in noise-filled and imperfect channel knowledge environment.
PHYSICAL COMMUNICATION
(2024)
Article
Engineering, Electrical & Electronic
Chidera Linda Anioke, Chibuzo Joseph Nnonyelu
Summary: In this paper, the joint and marginal probability densities of multipaths' angles-of-arrival (AOA) and times-of-arrival (TOA) at the cellular base station are derived. A novel assumption is made where scatterers are assumed to be located in an elliptical region instead of a circular region to better model the elliptical footprint around the mobile station. The proposed model shows a better fit to empirical AOA data compared to existing models.
PHYSICAL COMMUNICATION
(2024)
Article
Engineering, Electrical & Electronic
Xuefeng Chen, Rui Ma
Summary: This paper proposes a UAV-enabled MEC network to optimize transmission delay, computation delay, and system energy consumption, and achieves the optimal solution through an intelligent optimization algorithm based on Deep Dueling Double Q-Network and Twin Delayed Deep Deterministic Policy Gradient.
PHYSICAL COMMUNICATION
(2024)
Article
Engineering, Electrical & Electronic
Saikat Majumder
Summary: This article addresses the problem of one-bit spectrum sensing in cognitive radio networks and proposes a GKFCM clustering-based algorithm for detecting primary user signals in white and correlated noise. By identifying conserved features in the quantization process and clustering decision vectors, the proposed algorithm improves detection performance.
PHYSICAL COMMUNICATION
(2024)
Article
Engineering, Electrical & Electronic
Mohamed Zerouali, Mohamed Djendi
Summary: This paper proposes a new multichannel fast normalized least mean square (MC-FNLMS) algorithm for audio teleconferencing systems. The algorithm improves multichannel adaptive noise reduction by introducing a first order prediction process on the input signals. Compared with existing algorithms, the proposed algorithm demonstrates faster convergence speed, better noise reduction performance, and lower computational complexity.
PHYSICAL COMMUNICATION
(2024)
