Influence of Biogas Digestates on the Composition of Soil Organic Matter
Abstract
Open Access
ISSN 2690-1692
© 2023 by the authors; CC BY 4.0 licence
Journal of Energy and Power Technology , Volume 5 , Issue 1 (2023)
Pages: 221
Published: June 2023
(This book is a printed edition that was published in Journal of Energy and Power Technology)
Cover Story: For sustained global economic growth and world, peace green energy based on free fuel sources namely solar and wind is the only way to provide solution of climate emergency. The mobility industry plays a vital role in global economy by trading in trillions of dollars every year. The adoption of electric vehicles (EVs) from end to end direct current (DC) grid powered by green energy-based system is the only way to avoid this climate disaster and sustain the global economy. Our work focuses on this aspect and takes it a notch higher by implementing SiC based power electronics in every stage of the conversion process. The current paper shows a 800V powertrain, which is easily scalable to modern 1500V freight vehicle powertrains that will dominate the mobility future. Extremely fast charging and EVs are only solution to the aforementioned problems and our paper presents results on every stage of the process.View this paper.
Volume 5,Issue 1
Influence of Biogas Digestates on the Composition of Soil Organic MatterAbstract The increasing number of biogas plants with various digested organic materials and output of digestates calls for more detailed investigations of their suitability as soil amendments. In a trial in Northern Germany two replicate plots each were treated with fresh or prolonged fermented digestate to investigate the influence of digestates on the composition of soil organic matter (SOM). The relative proportions of relevant SOM compound classes were determined by pyrolysis-field ionization mass sp [...] |
Transfer Learning for Fault Detection with Application to Wind Turbine SCADA DataAbstract The installed wind power capacity is growing worldwide. Remote condition monitoring of wind turbines is employed to achieve higher uptimes and lower maintenance costs. Machine learning models can detect developing damages in wind turbines. Therefore, this paper demonstrates that cross–turbine transfer learning can drastically improve the accuracy of fault detection models in turbines with scarce SCADA data. In particular, it shows that combining the knowledge from turbines with scarce and turbin [...] |
The Liquid-Mediated Synthesis and Performance Evaluation of Li-Zr-F Composite for Ion-Conductionby
Junmo Moon
,
Satita Thiangtham
,
Ruijie Zheng
,
Sicheng Liu
,
Chayanaphat Chokradjaroen
,
Yasuyuki Sawada
and
Nagahiro Saito
Abstract Crystalline lithium fluoride (LiF) has been intensively pursued as potential alternative solid electrolytes (SEs) owing to its excellent chemical and electrochemical oxidation stability, and good deformability. However, due to its low ion conductivity, LiF is still challenging for practical SE applications. Herein, Li-Zr-F composite-based SE by liquid-mediated synthesis is proposed to be studied. methanol (CH3OH) was mainly evaluated as a liquid-mediated precursor for synt [...] |
Modeling of Autonomous Microgrid Operated at Medium-Voltage Level and at Constant Frequency and Study of Its Voltage Profileby
Daming Zhang
Abstract To increase power level in an autonomous microgrid, higher voltage is necessary. In this paper, detailed Matlab/Simulink modeling of a microgrid operated at medium-voltage level and at constant frequency has been conducted. Modified boost converter and medium-frequency transformer isolated DC/DC converter are adopted for both solar energy and wind energy harnessing in order for them to be connected with the microgrid. This paper further adopted a differential evolution (DE)-based method to carry [...] |
Prediction of Wind Loadings on Offshore Wind Turbines Using CFDAbstract Analysing the structural response of offshore wind turbines (OWTs) requires a robust method to estimate environmental loadings associated with extreme weather conditions. This study aimed to accurately predict wind loadings on a non-rotating OWT using a Computational Fluid Dynamics (CFD) code, Ansys Fluent package. The inlet velocity boundary condition was defined as a uniform inlet wind speed and then as a Normal Wind Profile (NWP). Three large wind speeds of 25 m/s, 40 m/s and 50 m/s were test [...] |
An 800V End to End SiC Powertrain to Accommodate Extremely Fast Chargingby
Naireeta Deb
and
Rajendra Singh
Abstract Widespread adoption of electric vehicles has presented the challenges of short range and prolonged charging time. Going forward, extremely fast charging is the only solution to these problems. However, the typical Silicon power electronics supported 400 V electric vehicle powertrain cannot live up to this challenge. Limitations include the huge cable size, heating of equipment due to high current and user safety, to name a few. In this paper, we have analyzed an 800 V EV powertrain using power e [...] |
A Combined Power and Ejector Refrigeration Cycle System for Thermal Energy Recovery from the Waste Heat of Internal Combustion EngineAbstract In this paper, due to the importance of energy recovery from internal combustion engines and the increasing human growing need for power and refrigeration, a two-cycle power and refrigeration system consisting of an organic Rankine cycle and an ejector refrigeration cycle is investigated analytically. The proposed system with the ability to use the ejector as an effective and economical system, can produce simultaneous power and refrigeration by drawi [...] |
Co-development of Low-speed Electric Community Buses for Local Area RevitalizationAbstract This paper describes the development of low-speed electric community buses (LSECBs) designed by the author's group and their spread situation in Japan. LSECBs are electric vehicles that can travel on public roads at speeds of less than 5.56 m/s (20 km/h). The university, local government, local businesses, and residents with a co-design approach developed the LSECBs. They have various [...] |
Green Energy Sources Reduce Carbon Footprint of Oil & Gas Industry Processes: A ReviewAbstract In recent years, the oil and gas sector has been moving towards green production methods to achieve net-zero emission goals. Governments and corporations have started large-scale initiatives to deploy advanced technologies to reduce carbon footprints and prevent global warming. Herein, we have explored the emerging techniques and methods used in reducing the effects of gas emissions in the oil and gas industry. The transition process from hydrocarbons to renewable energy resources, including sol [...] |
Significance of Insulation and Heat Pumps in Decarbonising the UKby
Andrew Williams
and
Murray Thomson
Abstract This paper examines the economic case for the UK to proceed urgently with the installation of thermal insulation and heat pumps in most UK buildings, in the context of the legal requirement to achieve net-zero carbon emissions by 2050. A recent study by the same authors assumed that such insulation and heat pumps would be in place, and showed how the whole of the UK’s energy demand could be met by low carbon electricity generation and appropriate storage. This paper extends the model [...] |
Acknowledgment to Reviewers of Journal of Energy and Power Technology in 2022Abstract The editors of Journal of Energy and Power Technology would like to express their sincere gratitude to the following reviewers for assessing manuscripts in 2022. 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 receive a voucher entitling them to a discount on their next LIDS [...] |
The Effect of Rotor Radius Ratio on The Performance of Hybrid Vertical Axis Wind Turbine Savonius-Darrieus NREL S809Abstract This research aims to know the effect of the Rotor Radius Ratio on the performance of the hybrid Vertical Axis Wind Turbine Savonius-Darrieus NREL S809 model using the Computational Fluid Dynamics method. Two-bladed Savonius is used as an internal rotor, and three-bladed Darrieus NREL S809 as an external rotor. Turbine model performance is analyzed through the value of the Moment Coefficient and Power Coefficient. The result shows that the increase in the Rotor Radius Ra [...] |
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