Results 91 to 100 of about 4,620 (258)

Selecting Between Hydrogen and Methanol for Fuel Cell‐Organic Rankine Cycle Hybrid Power Systems: A Comparative 4E Analysis

Energy Science &Engineering, EarlyView.
A 4E comparison of PEMFC‐ORC and DMFC‐ORC systems shows that PEMFC‐ORC achieves 21% higher energy efficiency, while DMFC‐ORC obtains 31% higher exergy efficiency and 57% lower levelized cost of electricity. However, DMFC‐ORC emits nearly twice the annual carbon dioxide equivalent of PEMFC‐ORC.
Zahra Piryaei, Maryam Karami, Iman Khazaee   +2 more
wiley   +1 more source

Techno‐Economic Analysis and Multi‐Objective Optimization of a Novel Combined Cooling and Power System Driven by Geothermal Source and Waste Heat From Data Center

Energy Science &Engineering, EarlyView.
A novel combined cooling and power generation system is proposed by integrating organic Rankine cycle (ORC) with an absorption heat transformer, which is driven by combining geothermal energy and data center's waste heat. The system using R601a yielded the best overall performance, achieving an exergy efficiency of 40.34% and an annual cost of 130.29 k$
Zerui Chen, Xin Wu, Zhukui Tan, Jian Xiao, Nan Wang   +4 more
wiley   +1 more source

PMU‐Based Wide Area Monitoring With Machine Learning to Prevent Blackouts in Bangladesh Power System

Energy Science &Engineering, EarlyView.
A Unified Real‐time Dynamic State Measurements (URTDSM) system with PMU and Phasor Data Concentrator (PDC) deployment plan has been proposed to avoid blackout in the Bangladeshi power system. Machine learning has been used to process data from PMU to identify abnormal events. ABSTRACT The electrical power system must be trustworthy and secure enough to
Imi Bintey Fariha Rahman, Md. Minarul Islam, Md. Shahin Parvej, Abdul Hasib Chowdhury, Taha Selim Ustun, Kashem M. Muttaqi   +5 more
wiley   +1 more source

Hybrid Simulation–Machine Learning Surrogates for Coordinate‐Based Solar and Wind Energy Yield Assessment in Iraq: A Streamlit Decision‐Support Tool

Energy Science &Engineering, EarlyView.
This study integrates climatic simulations with machine learning to predict solar and wind energy across Iraq. Results show Random Forest excels for solar (R2 = 0.98) and neural networks for wind (R2 = 0.97), enabling a practical web tool for renewable energy planning. ABSTRACT Driven by the global shift away from fossil fuels, solar and wind resources
Bassam Musheer Kareem, Abdolsalam Ebrahimpour, Jafar Ghafouri, Roghayyeh Motallebzadeh   +3 more
wiley   +1 more source

Integrated Solar and Wind Energy Systems for Domestic Power Generation and CO2 Emissions Reduction

Energy Science &Engineering, EarlyView.
A well‐structured and sequentially methodical procedure for evaluating the Wind and Photovoltaic Hybrid Energy System‐based technical, environmental, and economic viability. This study investigates the integration of solar photovoltaic(PV) and wind energy systems for domestic electricity generation in the Gaza Strip.
Mohamed Elnaggar, Mai Abuhelwa, Wael A. Salah, Aamir Bashir Taas, Hala J. El‐Khozondar, Yasser F. Nassar, Ahmad Aboul Khail, Alfian Ma'arif, Mohammed J. K. Bashir, Abdurrahman A. Mattar   +9 more
wiley   +1 more source

Techno‐Economic and Quasi‐Dynamic Load Flow Analysis of a Hybrid Renewable Microgrid for Coastal Industrial Loads

Energy Science &Engineering, EarlyView.
A hybrid PV–wind grid‐connected microgrid for Mongla Port is optimized using HOMER Pro and validated via DIgSILENT quasi‐dynamic load flow. The system achieves a low cost of energy (0.0341 USD/kWh), 70.9% renewable penetration, improved voltage stability, and significant emission reduction, demonstrating a reliable and cost‐effective solution for ...
Md. Behesty Hasan Sagor, Md Abdus Samad Kamal, Md. Feroz Ali, Md. Mahedi Hasan, Fahad Saleh Al‐Ismail, Md Shafiul Alam, Mohammad Ali   +6 more
wiley   +1 more source

Genetic Algorithm‐Driven Analysis of Gravitational Water Vortex Power Plant Runner Performance: A Comparative Study Integrating Experimental and Computational Fluid Dynamics

Energy Science &Engineering, EarlyView.
This study integrates genetic algorithm optimization, CFD simulation, and experimental validation to identify the optimal runner geometry for a gravitational water vortex turbine. The combined approach enhances vortex stability and improves energy conversion efficiency, demonstrating strong agreement between predicted and measured performance ...
Zakaria. A. Mwakitwange, Adam Faraji
wiley   +1 more source

Predicting Solar Photovoltaic Power Output in Saudi Arabia's Jazan Region: Performance Comparison of Machine Learning Models

Energy Science &Engineering, EarlyView.
Workflow of the PV power estimation and ML forecasting methodology. ABSTRACT Accurate prediction of solar panel energy output is vital for managing power systems effectively and maintaining a stable electrical grid. This is especially important in regions that rely heavily on renewable sources. This research provides a direct comparison of five machine
Abdoalateef Alzhrani, Abdullahi Abubakar Mas'ud, Mohd Khairul Amri Kamarudin, Firdaus Muhammad‐Sukki, Abdullahi Mohammad   +4 more
wiley   +1 more source

Structural design and 3D printing of flexible integrated electronic systems

FlexMat, EarlyView.
This review provides a comprehensive overview of design and integration strategies for individual components in flexible electronics, highlights the 3D‐printing fabrication techniques, and discusses recent advances in system‐level integration and their applications in real‐time monitoring and intelligent robotics.
Jiani Gong, Jiaying Wang, Changsong Shi, Chi Guo, Songze Fu, Jie Tao, Xiaolong Chen, Yunfei Chen, Zhiyang Lyu   +8 more
wiley   +1 more source

Alginate from seaweed and microbes: Sources, green extraction, functional properties, and food applications

Food Biomacromolecules, EarlyView.
Abstract Alginate, a renewable polysaccharide produced by brown seaweeds and selected bacterial species, has gained significant attention due to its tunable gelation behavior, biocompatibility, and wide utility in food, biomedical, and packaging applications.
Mehvish Habib, Sakshi Singh, Kulsum Jan, Khalid Bashir   +3 more
wiley   +1 more source