Article
Chemistry, Physical
Seneke Chamith Chandrarathna, Sontyana Adonyah Graham, Muhammad Ali, Jae Su Yu, Jong-Wook Lee
Summary: The study proposes an efficient power management system for TENGs using a dynamically reconfigured combining method and dual-parameter maximum power point tracking (MPPT). This method can effectively improve the power extraction efficiency of TENGs, making them suitable for practical applications.
ADVANCED ENERGY MATERIALS
(2022)
Article
Chemistry, Analytical
Alberto Lopez-Gasso, Andoni Beriain, Hector Solar, Roc Berenguer
Summary: This work presents an energy-efficient monolithic Power Management Unit (PMU) for low energy consumption wireless sensor nodes. The system is self-sustaining with a light source luminosity of 500 lux, manufactured with standard 180 nm CMOS technology, and exhibits an efficiency above 60%.
Article
Engineering, Electrical & Electronic
Danial Khan, Seong-Jin Oh, Sungku Yeo, Youngho Ryu, Sol-Hee In, Reza Eftekhari Rad, Imran Ali, Young-Gun Pu, Sang-Sun Yoo, Minjae Lee, Keum Cheol Hwang, Youngoo Yang, Kang-Yoon Lee
Summary: This article presents a power-efficient hybrid energy-harvesting system that scavenges energy from solar, vibration, and radio frequency sources. The system incorporates tetra-paths to maintain high power conversion efficiency and achieves peak efficiencies for different energy sources. The proposed architecture includes innovative techniques for solar energy harvester, triboelectric rectifier, and RF-dc converters to enhance overall performance.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2021)
Article
Green & Sustainable Science & Technology
Bisma Khalid, Abdullah Alodah
Summary: The rising importance of utilizing rainwater as a sustainable and viable alternative water source is evident amid increasing urbanization and concerns about water scarcity. This research developed a comprehensive and sustainable approach to rainwater treatment by effectively utilizing solar panels at the University of Engineering and Technology in Pakistan. The study focused on maximizing harvested rainwater for safe drinking and reducing the carbon footprint of treatment operations, which involved a sequence of filtration stages powered by solar energy. The results showed that the treated water met the standards for human consumption, demonstrating the effectiveness of the process in converting rainwater into potable water. The pilot project also showcased the viability and economic efficiency of the proposed system, making it implementable in other regions.
Article
Chemistry, Physical
Dario Narducci, Bruno Lorenzi
Summary: This paper examines the economic sustainability of hybrid thermoelectric-photovoltaic (HTEPV) solar harvesters and finds that while hybridization can enhance solar power conversion, it may not always be economically feasible at the current stage of technology. An analysis of the cost structure shows that profitability requires improvements in thermoelectric stages, concentrated solar cells, or PV materials with favorable temperature efficiency coefficients, such as perovskite solar cells.
ACS APPLIED ENERGY MATERIALS
(2021)
Article
Green & Sustainable Science & Technology
Nuria Novas, Rosa Maria Garcia, Jose Manuel Camacho, Alfredo Alcayde
Summary: Conventional energy resources are not climate sustainable, leading engineers and scientists to explore sustainable energy solutions influenced by climate change. Solar energy emerges as the most mature and widely accepted renewable resource. The study of past contributions in sustainable energy research helps in sustainability planning and improving future societal welfare.
Article
Chemistry, Multidisciplinary
Alejandro Castillo-Atoche, Karim Caamal-Herrera, Ramon Atoche-Ensenat, Johan J. Estrada-Lopez, Javier Vazquez-Castillo, Andrea C. Castillo-Atoche, Orlando Palma-Marrufo, Adolfo Espinoza-Ruiz
Summary: This paper proposes a wearable system for cardiac arrhythmia detection using integrated energy-aware techniques and a convolutional neural network. The system is designed for sports training sessions and achieves low-cost, very low-power operation through an ultra-low-power microcontroller and photovoltaic energy harvesting circuit. The CNN-based analysis filters and classifies the electrocardiogram signal into normal and abnormal patterns. Experimental results show extended battery life and high arrhythmia detection precision, making the system suitable for monitoring athletes' health and reducing the risk of abnormal heart conditions during sports activities.
APPLIED SCIENCES-BASEL
(2022)
Article
Energy & Fuels
Thitima Jintanawan, Gridsada Phanomchoeng, Surapong Suwankawin, Weeraphat Thamwiphat, Varinthorn Khunkiat, Wasu Watanasiri
Summary: There is interest in harvesting energy from people's footsteps to power smart devices, and this study improves the design of an energy floor called Genpath. By implementing a one-way clutch, the energy generation efficiency is increased. The new prototype showed significant improvement in energy production compared to the previous design. Additionally, an exhibition was organized to raise awareness about energy usage.
Article
Thermodynamics
Ali M. M. Qureshy, Ibrahim Dincer
Summary: The study introduces a unique dome photoanode design to maximize solar energy collection during the day for efficient hydrogen generation; through simulation analysis, it is found that optimal hydrogen mass generation rate and energy efficiency can be achieved under specific conditions.
APPLIED THERMAL ENGINEERING
(2021)
Article
Energy & Fuels
Zhibin Guan, Ping Li, Yumei Wen, Yu Du, Yao Wang
Summary: In this study, a complete model for subsea bubble energy harvesting was established, and a method to improve the efficiency of energy collection was proposed. By adjusting the flow velocity and fluid volume of the system, significant improvements in energy collection can be achieved.
Article
Chemistry, Physical
Haitao Li, Xuan Li, Xiangming Li, Huan Wang, Jiangchao Huang, Siew Kheng Boong, Hiang Kwee Lee, Jie Han, Rong Guo
Summary: An efficient evaporation-driven generator using sugarcane as a structural template is created for energy harvesting, enabling high-power production at room temperature and surpassing existing designs. The sugarcane-based generator can be connected in series or parallel to modulate electrical outputs, providing a reliable energy source for modern electronic devices and advancing sustainable energy harvesting and biomass utilization.
Article
Chemistry, Multidisciplinary
Bin Liu, Huiliang Sun, Jin-Woo Lee, Jie Yang, Junwei Wang, Yongchun Li, Bangbang Li, Meng Xu, Qiaogan Liao, Wei Zhang, Dongxue Han, Li Niu, Hong Meng, Bumjoon J. Kim, Xugang Guo
Summary: The use of halogen-free solvents can produce efficient and environmentally friendly all-polymer solar cells. In this study, all-PSCs processed with o-XY solvent achieved remarkable performance, demonstrating potential for practical applications.
ENERGY & ENVIRONMENTAL SCIENCE
(2021)
Article
Environmental Sciences
Mariam Kasradze, Mahyar Saraji Kamali, Dalia Streimikiene, Remigijus Ciegis
Summary: Environmental pollution, increased energy consumption, and growing demand for the energy sector have been widely discussed. The International Energy Agency (IEA) supports energy efficiency and evaluation by developing tracking indicators and analyzing energy consumption data. Results showed that CO2 emissions and monitoring energy consumption are the most significant indicators while assessing the countries' performance regarding green energy production.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Engineering, Electrical & Electronic
Hieu Tri A. Nguyen, Dentcho A. Genov, Hamzeh Bardaweel
Summary: This article presents a novel tunable green power module for operating portable electronics, which can collect energy from human body motion and successfully power a group of LEDs and charge a smartphone. The power module demonstrates a high power density in a small handheld size and shows good agreement between experimental data and model simulations.
SENSORS AND ACTUATORS A-PHYSICAL
(2022)
Review
Energy & Fuels
Sidique Gawusu, Xiaobing Zhang, Seidu Abdulai Jamatutu, Abubakari Ahmed, Ayesha Algade Amadu, Elvis Djam Miensah
Summary: Green Supply Chain Management (GSCM) involves balancing economic and environmental performance for businesses in the context of renewable energy. Effective implementation of GSCM can enhance performance and reduce environmental impacts.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Kanchana Kadirvel, Raju Kannadasan, Mohammed H. Alsharif, Zong Woo Geem
Summary: Electric vehicles are becoming highly preferred in domestic transportation systems due to the increasing demand and cost of fuel. Companies like Tesla, BMW, Audi, and Mercedes have entered the market with their EV offerings. This study proposes an improved interleaved phase-shifted semi-bridgeless boost converter for EV battery charging, which achieves faster charging speed and increased current injection compared to conventional converters.
Review
Robotics
Syed Agha Hassnain Mohsan, Nawaf Qasem Hamood Othman, Yanlong Li, Mohammed H. H. Alsharif, Muhammad Asghar Khan
Summary: Unmanned aerial vehicles (UAVs) or drones are widely used in various fields such as economy, commerce, leisure, military and academics. Despite facing limitations, UAVs show great potential and offer a range of features and capabilities, along with challenges and security issues. This study provides valuable insights into the potentials and characteristics of UAVs, along with future research directions.
INTELLIGENT SERVICE ROBOTICS
(2023)
Article
Computer Science, Information Systems
Arun Kumar, J. Venkatesh, Nishant Gaur, Mohammed H. Alsharif, Abu Jahid, Kannadasan Raju
Summary: More spectrum bands are needed due to the increase in wireless applications. However, adapting the spectrum bands to new applications has become difficult, leading to a crowded spectrum and decreased quality of service. Cognitive radio, specifically spectrum sensing, is a promising technology to address this issue. In this study, a novel 5G spectrum sensing technique using a hybrid matched filter algorithm was implemented, and its performance was compared to traditional matched filtering in different channels. The hybrid matched filter demonstrated superior effectiveness in both Rayleigh and Rician channels.
Article
Energy & Fuels
Manish Kumar Singla, Jyoti Gupta, Mohammed H. Alsharif, Abu Jahid
Summary: This article presents a cost-effective and reliable solution for meeting the energy demands of remote areas through the integration of multiple renewable energy sources. The proposed system aims to reduce dependence on fossil fuels and promote sustainable development by utilizing accessible energy resources in a self-contained microgrid. The study used HOMER software to optimize the combination of energy sources and storage technologies, and identified that the solar PV/fuel cell combination is more cost-effective, reliable, and efficient compared to the solar PV/battery combination. The proposed IHRES model offers a promising solution for meeting energy demands in remote areas while reducing dependence on fossil fuels and promoting sustainable development.
Article
Energy & Fuels
Gopu Venugopal, Arun Kumar Udayakumar, Adhavan Balashanmugham, Mohamad Abou Houran, Faisal Alsaif, Rajvikram Madurai Elavarasan, Kannadasan Raju, Mohammed H. Alsharif
Summary: This article proposes a technique for detecting and categorizing interturn insulation problems in variable-speed motor drives. It combines Salp Swarm Optimization (SSO) with Recurrent Neural Network (RNN) to identify and label the insulation concerns. The proposed technique improves the system precision by simplifying the detection and classification process. The model is implemented in MATLAB/Simulink and various metrics are analyzed for evaluation.
Article
Computer Science, Information Systems
Bikash Ranjan Behera, Sanjeev Kumar Mishra, Mohammed H. Alsharif, Abu Jahid
Summary: Due to the widespread use of low-power embedded devices, research into alternate energy sources is necessary. RF energy is always considered due to its accessibility. A comprehensive study on a reflective-inspired reconfigurable antenna integrated with a rectifier circuit is reported, providing broadband circular polarization and directional radiation. The findings highlight the potential for addressing limitations in RF energy harvesting.
Article
Engineering, Marine
Abdul Razzaq, Syed Agha Hassnain Mohsan, Yanlong Li, Mohammed H. Alsharif
Summary: This study presents an architectural framework and algorithms as a solution for designing and developing an IoUT system. It includes recommendations and forecasts for potential partners in the smart ocean. A case study is implemented to assess the system's usability and agility in exploiting sensor data, executing algorithms, and querying outputs for performance evaluation.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Multidisciplinary Sciences
Manish Kumar Singla, Jyoti Gupta, Parag Nijhawan, Mohammed H. Alsharif, Mun-Kyeom Kim
Summary: A new optimum approach is presented for estimating the unknown parameters of a DMFC stack using a mathematical model. The proposed method minimizes the Sum of Squared Errors based on experimental data and is compared to other metaheuristic algorithms. The results show that the proposed algorithm outperforms the other algorithms.
Review
Energy & Fuels
Manish Kumar Singla, Jyoti Gupta, Parag Nijhawan, Amandeep Singh Oberoi, Mohammed H. H. Alsharif, Abu Jahid
Summary: This manuscript provides a comprehensive review of unitized regenerative fuel cells (URFCs) and their significance in Remote Area Power Supply (RAPS). URFCs offer a potential solution to reduce the expenses of solar hydrogen renewable energy systems in RAPS by combining the functionalities of the electrolyzer and fuel cell into a single unit. They are particularly well-suited for RAPS applications as the electrolyzer and fuel cell do not need to operate simultaneously.
Article
Energy & Fuels
Subhojit Dawn, Gummadi Srinivasa Rao, M. L. N. Vital, K. Dhananjay Rao, Faisal Alsaif, Mohammed H. Alsharif
Summary: Profit maximization is crucial in power system control, especially in renewable-associated power systems. The utilization of V2G technology, using vehicles as mobile storage devices during off-peak hours, can enhance system profitability and have an impact on system voltage profiles and pricing.
Review
Chemistry, Analytical
Annisa Anggun Puspitasari, To Truong An, Mohammed H. Alsharif, Byung Moo Lee
Summary: This study is of great significance in applying ML algorithms and their derivatives to optimize emerging 6G technologies and meet the visions and requirements of the 6G network.
Article
Chemistry, Analytical
Anupma Gupta, Vipan Kumar, Shonak Bansal, Mohammed H. Alsharif, Abu Jahid, Ho-Shin Cho
Summary: This study aims to design a compact antenna structure suitable for implantable devices in a wide frequency range, covering various bands such as ISM, WMTS, UWB, and Wi-Fi. The proposed antenna demonstrates superior performance in terms of size, bandwidth, gain, and SAR values compared to existing tri-band implantable antennas.
Article
Engineering, Multidisciplinary
Arun Kumar, Aziz Nanthaamornphong, R. Selvi, J. Venkatesh, Mohammed H. Alsharif, Peerapong Uthansakul, Monthippa Uthansakul
Summary: Smart Hospital will play a key role in improving the quality of healthcare services. Integrating technology with traditional hospitals allows for remote access to medical facilities, saving time and improving efficiency. This research focuses on enhancing power savings, spectral access, latency, and Bit error rate of 5G waveforms, while also examining the role of IoT and AI in smart hospitals.
ALEXANDRIA ENGINEERING JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Shanmugavadivu Natarajan, Raju Kannadasan, Faisal Alsaif, Mohammed H. Alsharif
Summary: This paper presents a modified double-ended forward converter (DEFC) designed for stepper motor-based robotic applications. The proposed converter topology provides galvanic isolation between the input and output, along with higher efficiency and a smooth operative system. The control strategy for the converter utilizes Proportional Integral (PI) to regulate output voltage and current, implemented using a microcontroller-based system. Experimental results demonstrate the effectiveness of the proposed topology and control strategy, making it a promising option for future robotic systems.
Article
Computer Science, Information Systems
Ashish Bagwari, J. Logeshwaran, K. Usha, Kannadasan Raju, Mohammed H. Alsharif, Peerapong Uthansakul, Monthippa Uthansakul
Summary: Industrial wireless sensor networks (WSNs) are popular due to scalability and low cost, but face challenges in energy optimization and network maintenance. Machine Learning techniques are used to create an enhanced energy optimization model, identifying and optimizing node energy consumption and predicting optimal outcomes.
