Optimization of Heat Transfer in Parabolic Trough Collectors Using Advanced Turbulator Designs and Nanofluids
Abstract
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Optimization of Heat Transfer in Parabolic Trough Collectors Using Advanced Turbulator Designs and Nanofluidsby
Mohsen Pourfallah
and
Ethan Languri
Abstract
Parabolic trough collectors (PTCs) are essential for solar thermal energy systems, and their thermal efficiency can be significantly enhanced using turbulators and nanofluids. This numerical study introduces three novel fin-spiral turbulator configurations (4, 7, and 10 blades) to enhance heat transfer within the absorber tube. Additionally, three nanofluid types including water-based single-walled carbon nanotubes (SWCNT), cupric oxide (CuO), and a hybrid SWCNT-CuO, at concentrations of 1%, 3%, and 5% were evaluat [...] 74 388 |
Acknowledgment to Reviewers of Journal of Energy and Power Technology in 2024Abstract
The editors of Journal of Energy and Power Technology would like to express their sincere gratitude to the following reviewers for assessing manuscripts in 2024. We greatly appreciate the contribution of expert reviewers, which is crucial to the journal's editorial process. We aim to recognize reviewer contributions through several mechanisms, of which the annual publication of reviewer names is one. Reviewers can download a certificate of recognition directly from our submission system. Additionally, reviewers can [...] 46 346 |
Quantification and Comparative Analysis of Environmental Factors to Large-Scale Solar Plant’s Energy Performance via Regression and Linear Correlation Modelsby
Jazael Ballina
and
Yun Ii Go
Abstract
Performance degradation, including system deterioration, corrosion, and energy loss in solar PV systems, can be caused by environmental conditions such as high humidity, frequent rainfall, and temperature swings in tropical nations. Over the years, photovoltaic energy has been successfully developed to have low production costs and high efficiency. It has been the main reason that solar energy is one of the fastest-growing renewable energies in the world, with a generation of 821 TWh of electricity since 2021, repr [...] 80 496 |
High Data Rate MWD Mud Pulse Telemetry – From Mysteries to DiscoveryAbstract
Our new approach to MWD mud pulse telemetry offers significant increases over conventional data rates. Using waveguide acoustics, we show that common drilling communications channels support carrier frequencies exceeding several hundred Hertz. Such signals are prone to attenuation over large drillpipe distances. Low power, self-spinning “turbosirens” are designed, providing high torque and rotation rate performance at all flow rates without electric or hydraulic motor drives. The sirens rotate, drawing only on [...] 161 859 |
Post-Combustion CO2 Capture from an Industrial Power Plant Using Five Chemical Solvents: A Comparative TEAAbstract
CO2 capture processes using five chemical solvents were modeled in Aspen Plus V.12.1 for the capture of more than 90% CO2 from a 456 ton/hour split flue gas stream containing 12.02 mol% CO2 emitted by the Longview 780 MW power plant (West Virginia, USA). Since the flue gas contained 33.10 ppmv SO2 and 35.47 ppmv NO2, a gas polishing process, using deionized water (DIW), was included in the model for complete scrubbing of SO2 and NO2 from the raw flue gas before the CO2 capture process. The five chemicals used for C [...] 226 937 |
Stability Improvement of Multimachine System Using Back-To-Back ConvertersAbstract
As the penetration level of inverter-based generators continues to increase, it becomes crucial to reduce power oscillations between inverters and synchronous generators (SG) to improve system stability. This paper uses a multimachine system as the research platform and proposes a grid separation method employing a multi-terminal back-to-back converter. The converter is designed to be placed at the point of common coupling (PCC) in the original multimachine system and can divide the original grid into multiple micr [...] 156 809 |
The Brazilian Research Scenario in Green Hydrogen: A Brief Contextualizationby
Marco Antonio Gaya de Figueiredo
,
Luiza G. dos Santos
,
Rômulo Luciano Nascimento
and
Harrison Lourenço Corrêa
Abstract
Hydrogen is crucial in various industrial sectors and can be obtained through different synthesis routes. However, a significant portion of its production still relies on chemical processes involving fossil fuels, resulting in hydrogen and the generation of greenhouse gases (GHGs) as the final byproduct. In alignment with the goals of the 2030 Agenda, where countries commit to implementing energy transition, hydrogen obtained through a green route has been increasingly explored by governmental and academic entities [...] 197 1051 |
Nanostructure-Based Solid-State Energy Storage through Hydrogen Trapping in Batteries Using Materials Modelling TechniqueAbstract
A comprehensive investigation on hydrogen grabbing by SiO-GeO was carried out, including DFT computations at the CAM-B3LYP-D3/6-311+G (d,p) level of theory. The data shows that if silicon elements are replaced by germanium, the H-grabbing energy will be ameliorated. Electromagnetic and thermodynamic properties of SiO, GeO, and SiO-GeO nanoclusters have been evaluated. The hypothesis of the hydrogen adsorption phenomenon was confirmed by density distributions of PDOS and LOL for hydrated nanoclusters of H-SiO, H-GeO [...] 162 907 |
Security Length Associated with the Risk of Ammonia Tank Leak Using CTOA Criterion and ALOHA SoftwareAbstract
Ammonia is a toxic gas and can cause tragic consequences for humans. The damage level depends on concentration and duration of exposure. The security length associated with the risk of a tank leak at the acute exposure level of 30 ppm (AEGL-1) has been computed. Two tools have been combined: the CTOA criterion and the ALOHA software. The CTOA, a measure of fracture resistance against ductile crack propagation, is implemented in Abaqus software to compute the size of a breach in a tank submitted to internal pressure [...] 156 973 |
An Application of Excess Solar and Storage Capacity Optimization for Grid Servicesby
Maxim Rusakov
and
Faraz Farhidi
Abstract
This initiative aims to enhance the efficiency of utility demand response (DR) operations by coordinating and integrating behind-the-meter (BTM) photovoltaic systems (PV) and energy storage (ES) using innovative machine learning software applications embedded in a distributed control architecture. The project is in the process of creating distributed energy resource (DER) learning agents and optimization engine within a hierarchical and layered distributed control architecture (DCA). These components work together [...] 170 1153 |
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