Review
Thermodynamics
Joshua Iseoluwa Orege, Olayinka Oderinde, Ghebretensae Aron Kifle, Adeola Ahmed Ibikunle, Saheed Abiola Raheem, Onome Ejeromedoghene, Emmanuel Sunday Okeke, Olubunmi Michael Olukowi, Odunola Blessing Orege, Emmanuel Oluwaseyi Fagbohun, Taiwo Oladapo Ogundipe, Esther Praise Avor, Omoyemi Oluwatosin Ajayi, Michael Olawale Daramola
Summary: Heterogeneous catalysis provides a viable alternative for low-cost biodiesel production, and catalytic transesterification is considered the most feasible synthesis method. Nine commonly used heterogeneous catalysts have been studied, with a focus on versatile catalysts with high activity and low production cost.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Computer Science, Information Systems
Tao Yu, Shunqing Zhang, Xiaojing Chen, Xin Wang
Summary: In this article, a novel energy efficiency metric called integrated relative EE (IREE) is proposed, which can jointly measure the traffic profiles and network capacities from the perspective of energy efficiency. The traditional EE metric fails to capture the variations in traffic and capacity of next-generation wireless networks. Through analytical and numerical results, it is shown that the proposed IREE metric is able to capture the wireless traffic and capacity mismatch property, which is significantly different from the conventional EE metric. The IREE-oriented design or deployment strategy can be considered as a useful guidance for future energy-efficient network design.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Green & Sustainable Science & Technology
Xiangdong Zhang, Gunasekaran Manogaran, BalaAnand Muthu
Summary: This article discusses the planning and evaluation methods for smart city energy systems, introducing the creation process of complex systems using diverse energy technologies network.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2021)
Review
Computer Science, Hardware & Architecture
Kazi Yasin Islam, Iftekhar Ahmad, Daryoush Habibi, Adnan Waqar
Summary: This article provides a comprehensive review of energy-efficient underwater wireless communication (UWC) networks. It discusses the network architectures, challenges, power-saving techniques, and alternative energy sources in UWC. Future research directions and challenges related to the adoption of the Internet of Underwater Things (IoUT) are also highlighted.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
(2022)
Article
Green & Sustainable Science & Technology
Shuguang Wang, Luang Sun, Sajid Iqbal
Summary: The study highlights the importance of renewable energy dependence in facilitating energy transition in E7 settings. Factors such as renewable energy demand and supply ratio, energy consumption to GDP ratio are crucial in promoting renewable energy transition through green financing. The shift towards renewable energy in E7 economies is partly attributed to investments in renewable energy sources supported by green finance.
Article
Green & Sustainable Science & Technology
Manuel Wetzel, Hans Christian Gils, Valentin Bertsch
Summary: Meeting the goals of the Paris Agreement poses challenges in providing renewable energy for various sectors, and green hydrogen and methane are considered key energy carriers. Uncertainties exist regarding the expansion of renewable electricity generation in Europe and the need for effective infrastructure deployment. Using the REMix model, different European storylines and constraints were considered to identify robust capacity targets. The results show that European energy sovereignty is feasible but comes at a slightly higher cost compared to cooperation with resource-rich areas like the British Isles or the Maghreb region.
Review
Green & Sustainable Science & Technology
Shuhao Zhang, Nan Zhang
Summary: This paper introduces the recent development in integrated green hydrogen polygeneration, summarizing theoretical concepts, design types, and recent developments related to the integration of Alkaline Electrolysis (AE), Proton Exchange Membrane Electrolysis (PEME), and the Solid Oxide Electrolysis Cell (SOEC). The study evaluates the efficiency and economic impact of green hydrogen production integrated with different energy sources, storage, and power cycles. The state-of-the-art method for hydrogen production is the Solid Oxide Electrolysis Cell (SOEC) which shows over 10% efficiency improvement compared to commercially applied methods (AE and PEME).
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Engineering, Electrical & Electronic
Sachin Kadam, Sesha Vivek Yenduri, Potharaju Hari Prasad, Rajesh Kumar, Gaurav S. Kasbekar
Summary: This paper proposes two schemes for estimating the active node cardinalities of each node type in a heterogeneous M2M network, utilizing coarse estimates and final estimates in two phases. Through simulations, it is found that these proposed schemes achieve faster execution compared to previous designs while maintaining the same level of accuracy.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Review
Green & Sustainable Science & Technology
D. F. Dominkovic, J. M. Weinand, F. Scheller, M. D'Andrea, R. McKenna
Summary: The field of Energy System Analysis has experienced exponential growth in research output in the past two decades, with a concentration of publications in a small number of countries and institutions. Collaboration is mainly within the same university or at least the same country. There is a strong link among the most successful journals, authors and institutions.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Chemistry, Multidisciplinary
Yilin He, Amus Chee Yuen Goay, Anthony Chun Yin Yuen, Deepak Mishra, Yang Zhou, Teng Lu, Danyang Wang, Yun Liu, Cyrille Boyer, Chun H. Wang, Jin Zhang
Summary: This study introduces a novel method to improve the output performance of triboelectric nanogenerators (TENGs) by constructing Schottky junctions and using composite fiber mats. The TENGs with these enhancements achieve significantly higher output power and are utilized to power RFID tags for backscatter communication systems, increasing the communication range.
Article
Green & Sustainable Science & Technology
Andreas Dimou, Stergios Vakalis
Summary: The non-interconnected islands in Greece are transitioning to green energy, with the Ai Stratis - Green Island project on Agios Efstratios island serving as a flagship project. This study compared the proposed design of a public call with two other designs in terms of renewable energy penetration and economics, and proposed a lower-cost alternative.
Article
Geosciences, Multidisciplinary
Norazah Mohd Suki, Norbayah Mohd Suki, Sahar Afshan, Arshian Sharif, Mohd Ariff Kasim, Siti Rosmaini Mohd Hanafi
Summary: The study aims to understand the impact of green technology innovation on green growth. The results show a negative correlation between technology innovation and renewable energy with carbon emissions, while non-renewable energy has a positive impact on carbon emissions. The findings suggest the need for more research and development to control environmental degradation by increasing the number of technological patents.
Article
Energy & Fuels
Tao Hai, Farhan A. Alenizi, Adil Hussein Mohammed, Pradeep Kumar Singh, Ahmed Sayed Mohammed Metwally, Mirzat Ullah
Summary: This research aimed to analyze the energy consumption of an nZEB restaurant in a typical city to anticipate tourist numbers. The restaurant's energy comes from solar panels and electricity grids, with hydrogen storage used to store excess energy. The Fanger model was used to assess passenger thermal comfort, while Trnsys software evaluated the transient performance of the nZEB throughout a year. PV panels supplied most of the restaurant's electricity, and hydrogen tanks stored excess electricity. Solar collectors generated hot water and a heat pump provided cooling and heating. The results demonstrated the effectiveness of utilizing ZEB on the building roof area to reduce Doha's greenhouse gas emissions significantly.
Article
Computer Science, Interdisciplinary Applications
Fahimeh Dabaghi-Zarandi
Summary: The paper proposes a new Local Traffic-aware Green Algorithm based on Sleep-scheduling (LTGAS) for reducing energy consumption in autonomous wired networks during low traffic periods. This dynamic solution considers online and local traffic knowledge to effectively switch off underutilized network nodes and links, achieving up to 38% energy savings with minimal impact on network performance metrics.
SIMULATION MODELLING PRACTICE AND THEORY
(2022)
Article
Economics
Mingbo Zheng, Gen-Fu Feng, Chyi-Lu Jang, Chun-Ping Chang
Summary: Terrorism has a negative impact on green technological innovation in renewable energy technologies, leading to reduced innovation in economies, especially in OECD countries. Wind energy innovation is particularly affected by terrorist attacks. The repression effect of terrorism on green innovation is more significant in economies with lower green innovation performance.
Article
Computer Science, Information Systems
Jingjing Yao, Nirwan Ansari
Summary: The research focuses on minimizing data transmission delay in dynamic IoT networks, formulated as an Integer Linear Programming (ILP) problem and modeled as a Markov decision process (MDP). Caching at the IoT gateway is proposed as a solution to reduce battery depletion of IoT sensors, with a deep reinforcement learning algorithm developed to address the problem.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Information Systems
Jingjing Yao, Nirwan Ansari
Summary: In this article, we investigate the optimization of energy consumption and federated learning time in fog-aided IoT networks by controlling the CPU frequency and wireless transmission power of all IoT devices. An alternative direction algorithm is designed to solve this problem by optimizing the CPU frequency and wireless transmission power alternately until convergence, and its performance is demonstrated through extensive simulations.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Hardware & Architecture
Praveen Gorla, Vinay Chamola, Vikas Hassija, Nirwan Ansari
Summary: The 5G technology utilizes MIMO for increasing capacity and efficiency of the network, requiring effective resource management for reliable services, where blockchain technology plays a promising role to resolve spectrum under-utilization.
Article
Computer Science, Information Systems
Di Wu, Nirwan Ansari
Summary: The Industrial Internet of Things enables direct wireless communication between industrial machines and people, forming the backbone of Industry 4.0. By grouping devices and utilizing blockchain for access control, a new voting mechanism with trust evaluation has been proposed to increase the likelihood of correct authorizations even in the presence of malicious devices.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Telecommunications
Zhaoming Ding, Lianfeng Shen, Hongyang Chen, Feng Yan, Nirwan Ansari
Summary: The letter analyzes the residual-energy aware feature of a sensor node in time-varying wireless sensor networks, and proposes an energy-efficient routing algorithm based on Markov chain, which can effectively extend network lifetime.
IEEE COMMUNICATIONS LETTERS
(2021)
Article
Engineering, Electrical & Electronic
Abdullah R. Hossain, Nirwan Ansari
Summary: This paper examines network slicing within the radio access network using an orthogonal frequency division multiple access system for downlink communications, focusing on achieving optimal resource provisioning and power allocation under priority slicing. The results demonstrate that the wireless network can satisfy quality-of-service requirements for different priority traffic while mitigating inter-slice and intra-slice contentions in practical deployments.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Engineering, Electrical & Electronic
Liang Zhang, Nirwan Ansari
Summary: This article introduces a novel UAV-assisted MEC architecture to provision services to IoTDs. The Joint-CAP problem in the UAV-MEC network is formulated to minimize operation cost, decomposed into two sub-problems, and solved sequentially. An (1 + epsilon)-approximation algorithm, AA-CAP, is proposed to solve the Joint-CAP problem, demonstrating superior performance compared to baseline algorithms through simulations.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Engineering, Multidisciplinary
Weiqi Liu, Liang Zhang, Nirwan Ansari
Summary: The study introduces a laser charging enabled drone-mounted base-station framework that provides users with more flexible communication services, by solving a joint problem to maximize flight time and data rate.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2021)
Article
Telecommunications
Jingjing Yao, Nirwan Ansari
Summary: This paper explores the use of Fog-aided Internet of Drones (IoD) and Federated Learning (FL) to provide services while protecting drone data privacy. The study focuses on optimizing power control for all drones to maximize security rates in the FL system, considering drone battery capacities and Quality of Service requirements. The proposed algorithm aims to achieve optimal solutions with low computational complexity through extensive simulations.
IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING
(2021)
Article
Multidisciplinary Sciences
Shovon Lal Sarkar, A. S. M. Rubayet Ul Alam, Prosanto Kumar Das, Md Hasan Ali Pramanik, Hassan M. Al-Emran, Iqbal Kabir Jahid, M. Anwar Hossain
Summary: A simple and cost-effective alternative diagnostic method for COVID-19 was developed based on melting curve analysis. Compared to commercial kits, this method shows high specificity and sensitivity, with lower cost.
SCIENTIFIC REPORTS
(2022)
Article
Engineering, Civil
Guanxiong Liu, Hang Shi, Abbas Kiani, Abdallah Khreishah, Joyoung Lee, Nirwan Ansari, Chengjun Liu, Mustafa Mohammad Yousef
Summary: This study proposes utilizing edge computing for traffic monitoring tasks, with different algorithms executed on edge nodes and the TMC, considering limited computing resources on the cloudlets and unstable network conditions. The hybrid edge-cloud solution outperforms both cloud-only and edge-only solutions in test-bed experiments under various weather and network conditions.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Immunology
M. Nazmul Hoque, Md. Murshed Hasan Sarkar, Md. Arif Khan, Md. Arju Hossain, Md. Imran Hasan, Md. Habibur Rahman, Md. Ahashan Habib, Shahina Akter, Tanjina Akhtar Banu, Barna Goswami, Iffat Jahan, Tasnim Nafisa, Md. Maruf Ahmed Molla, Mahmoud E. Soliman, Yusha Araf, M. Salim Khan, Chunfu Zheng, Tofazzal Islam
Summary: This study utilized machine learning approaches to analyze RNA-seq data from COVID-19 patients, recovered individuals, and healthy individuals, finding disease-related differentially expressed genes. It provides insights into the role of SARS-CoV-2 infection in the pathophysiology and comorbidity of COVID-19.
FRONTIERS IN IMMUNOLOGY
(2022)
Article
Computer Science, Information Systems
Abdullah Hossain, Nirwan Ansari
Summary: This paper extensively examines the impact of numerology schemes on a sliced TDD radio access network. The incorporation of numerology schemes into network slicing is highly instrumental in realizing the future 5G and 6G networks. The work demonstrates the enhanced capabilities of sliced networks utilizing numerology by optimizing key parameters and allocating power and bandwidth under numerology-enabled slicing.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2023)
Article
Telecommunications
Mohammad Arif Hossain, Nirwan Ansari
Summary: The paper proposes leveraging techniques such as edge computing, network slicing, and non-orthogonal multiple access to reduce the total latency of computing tasks in 5G networks, as well as improving energy and spectral efficiencies of the system. Through a series of schemes and optimization problems, a near-optimal solution is obtained using a heuristic algorithm, effectively reducing the computational complexity of the system.
IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING
(2021)
Article
Computer Science, Information Systems
Yang Xiao, Jun Liu, Jiawei Wu, Nirwan Ansari
Summary: After decades of unprecedented development, modern networks have surpassed expectations in scale and complexity, traditional traffic engineering approaches are inadequate for meeting the quality of service requirements. Deep reinforcement learning has shown to be a feasible solution for autonomously controlling and managing complex systems, with applications benefiting the communications industry.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS
(2021)
