scholarly journals Influence of Fluctuations in Fossil Fuel Commodities on Electricity Markets: Evidence from Spot and Futures Markets in Europe

Energies ◽  
2020 ◽  
Vol 13 (8) ◽  
pp. 1900 ◽  
Author(s):  
Tiantian Liu ◽  
Xie He ◽  
Tadahiro Nakajima ◽  
Shigeyuki Hamori
Keyword(s):  
Natural Gas ◽  
Frequency Domain ◽  
Electricity Markets ◽  
Futures Markets ◽  
Fossil Fuels ◽  
Fossil Fuel ◽  
Spillover Effect ◽  
Time Frequency ◽  
Volatility Spillovers ◽  
The Time Domain

Using a fresh empirical approach to time-frequency domain frameworks, this study analyzes the return and volatility spillovers from fossil fuel markets (coal, natural gas, and crude oil) to electricity spot and futures markets in Europe. In the time domain, by an approach developed by Diebold and Yilmaz (2012) which can analyze the directional spillover effect across different markets, we find natural gas has the highest return spillover effect on electricity markets followed by coal and oil. We also find that return spillovers increase with the length of the delivery period of electricity futures. In the frequency domain, using the methodology proposed by Barunik and Krehlik (2018) that can decompose the spillover effect into different frequency bands, we find most of the return spillovers from fossil fuels to electricity are produced in the short term while most of the volatility spillovers are generated in the long term. Additionally, dynamic return spillovers have patterns corresponding to the use of natural gas for electricity generation, while volatility spillovers are sensitive to extreme financial events.

scholarly journals A research on fiber-optic vibration pattern recognition based on time-frequency characteristics

2018 ◽  
Vol 10 (12) ◽  
pp. 168781401881346 ◽  
Author(s):  
Tabi Fouda Bernard Marie ◽  
Dezhi Han ◽  
Bowen An ◽  
Jingyun Li
Keyword(s):  
Pattern Recognition ◽  
Frequency Domain ◽  
Time Domain ◽  
Fiber Optic ◽  
Pattern Recognition Method ◽  
Recognition Method ◽  
Time Frequency ◽  
Mode Decomposition ◽  
Vibration Pattern ◽  
The Time Domain

To detect and recognize any type of events over the perimeter security system, this article proposes a fiber-optic vibration pattern recognition method based on the combination of time-domain features and time-frequency domain features. The performance parameters (event recognition, event location, and event classification) are very important and describe the validity of this article. The pattern recognition method is precisely based on the empirical mode decomposition of time-frequency entropy and center-of-gravity frequency. It implements the function of identifying and classifying the event (intrusions or non-intrusion) over the perimeter to secure. To achieve this method, the first-level prejudgment is performed according to the time-domain features of the vibration signal, and the second-level prediction is carried out through time-frequency analysis. The time-frequency distribution of the signal is obtained by empirical mode decomposition and Hilbert transform and then the time-frequency entropy and center-of-gravity frequency are used to form the time-frequency domain features, that is, combined with the time-domain features to form feature vectors. Multiple types of probabilistic neural networks are identified to determine whether there are intrusions and the intrusion types. The experimental results demonstrate that the proposed method is effective and reliable in identifying and classifying the type of event.

Robustness of Norway Economy and Energy Supply/Demand

2017 ◽  
Vol 8 (2) ◽  
pp. 1-19 ◽  
Author(s):  
Alireza Aslani ◽  
Maryam Hamlehdar ◽  
Reza Saeedi
Keyword(s):  
Electricity Markets ◽  
Fossil Fuels ◽  
Fossil Fuel ◽  
Energy Sector ◽  
Good Choice ◽  
Energy Utilization ◽  
Economic Stability ◽  
High Dependency ◽  
Strategic Role ◽  
The Impact

Energy has a strategic role in the social and economic development of the countries all over the world. Due to the high dependency on fossil fuels, fluctuations in prices and supply have macro/micro-economics effects for both energy exporters and importers. Therefore, understanding economic stability based on energy market changes is an important subject for policy makers and researchers. Norway, as a fossil fuel export country, is a good choice for the analysis of the relationships between the economics robustness and fossil fuel economics fluctuations. While the country is one of the pioneers in the field of sustainable energy utilization, they have tried to provide a robust economic situation for the oil exports revenues. In this article, the effects of energy changes on the economy are investigated in Norway. In this regard, first, the impact of oil price on macro-economic parameters is discussed. Afterwards, the main issues related to the energy economics including resilience of the energy sector, energy policies, economics analysis of the energy sector, and the electricity markets are discussed.

scholarly journals Catalytic Production of Jet Fuels from Biomass

Molecules ◽  
2020 ◽  
Vol 25 (4) ◽  
pp. 802 ◽  
Author(s):  
Manuel Antonio Díaz-Pérez ◽  
Juan Carlos Serrano-Ruiz
Keyword(s):  
Molecular Weight ◽  
Global Warming ◽  
Natural Gas ◽  
Heterogeneous Catalysts ◽  
Fossil Fuels ◽  
Fossil Fuel ◽  
Liquid Hydrocarbon ◽  
Jet Fuels ◽  
Renewable Source ◽  
The World

Concerns about depleting fossil fuels and global warming effects are pushing our society to search for new renewable sources of energy with the potential to substitute coal, natural gas, and petroleum. In this sense, biomass, the only renewable source of carbon available on Earth, is the perfect replacement for petroleum in producing renewable fuels. The aviation sector is responsible for a significant fraction of greenhouse gas emissions, and two billion barrels of petroleum are being consumed annually to produce the jet fuels required to transport people and goods around the world. Governments are pushing directives to replace fossil fuel-derived jet fuels with those derived from biomass. The present mini review is aimed to summarize the main technologies available today for converting biomass into liquid hydrocarbon fuels with a molecular weight and structure suitable for being used as aviation fuels. Particular emphasis will be placed on those routes involving heterogeneous catalysts.

scholarly journals Unconventionals in Europe: Best Practice vs. Worst Case - The Conflict Between Facts and Public Perception

2016 ◽  
Vol 23 (3) ◽  
pp. 377-386 ◽  
Author(s):  
Peter Burri
Keyword(s):  
Natural Gas ◽  
Public Perception ◽  
Human Error ◽  
Fossil Fuels ◽  
Fossil Fuel ◽  
Hydrocarbon Exploration ◽  
Negative Consequences ◽  
Rapid Improvement ◽  
Worst Case ◽  
The World

Abstract In spite of great progress in energy efficiency and in the development of renewable energy the world is likely to need significant amounts of fossil fuel throughout this century and beyond (the share of fossil fuels in the world mix has remained at about 86% of primary energy from 1990 to today). Gas, being the by far cleanest fossil fuel is the ideal bridging fuel to a world with predominantly renewable supplies. Thanks to the recent perfection of unconventional technologies there is no shortage of gas for this bridging function for at least the next 100-200 years. EASAC and several other European Institutions, notably the German Academy of Technical Sciences (acatech) have in the last few years carried out expert studies to assess the alleged environmental risks of unconventional hydrocarbon exploration and production. All these studies have, in agreement with other competent studies worldwide, come to the conclusion that there exists no scientific reason for a ban on hydraulic fracturing. With good practices, clear standards and adequate control the method causes no enhanced risks to the environment or the health of humans. Special attention has to be paid to the surface handling of drilling and fracking fluids. In Europe alone many thousand frac jobs have been carried out by the industry in the last 60 years without any severe accidents. The mishaps in North America have largely been the cause of unprofessional operations and human error. Especially in places with high air pollution, like many megacities of Asia, natural gas has to be seen as a unique chance to achieve a rapid improvement of the air quality and a significant reduction of CO2 emissions. This is also true for Europe where especially the use of domestic natural gas brings important benefits to the environment. The alternative to gas is in many regions of the world an increased consumption of coal, with all negative consequences.

scholarly journals Application of the Acoustic Emission Method for Diagnosis of On-Load Tap Changer

2017 ◽  
Vol 42 (1) ◽  
pp. 29-35 ◽  
Author(s):  
Henryk Majchrzak ◽  
Andrzej Cichoń ◽  
Sebastian Borucki
Keyword(s):  
Acoustic Emission ◽  
Frequency Domain ◽  
Time Domain ◽  
Operating Conditions ◽  
Time Frequency ◽  
Measurement Results ◽  
Tap Changer ◽  
The Time Domain ◽  
Load Tap Changer ◽  
Short Time

Abstract This paper provides an example of the application of the acoustic emission (AE) method for the diagnosis of technical conditions of a three-phase on-load tap-changer (OLTC) GIII type. The measurements were performed for an amount of 10 items of OLTCs, installed in power transformers with a capacity of 250 MVA. The study was conducted in two different OLTC operating conditions during the tapping process: under load and free running conditions. The analysis of the measurement results was made in both time domain and time-frequency domain. The description of the AE signals generated by the OLTC in the time domain was performed using the analysis of waveforms and determined characteristic times. Within the time-frequency domain the measured signals were described by short-time Fourier transform spectrograms.

scholarly journals Carbon Tax on Three Fossil Fuels

2019 ◽  
Vol 4 (2) ◽  
pp. 130-142
Author(s):  
James Stodder
Keyword(s):  
Natural Gas ◽  
Carbon Footprint ◽  
Fossil Fuels ◽  
Fossil Fuel ◽  
Carbon Tax ◽  
Tax Burden ◽  
Vector Auto Regression ◽  
Price Instability ◽  
Gas Price ◽  
Auto Regression

Carbon pricing will make Natural Gas the last fossil fuel. As is well-known, the carbon footprint of Oil is half-again as large, and the footprint of Coal is twice as large as that of Gas. Price sensitivities also imply that Gas producers bear relatively little of the total tax burden. As a result of the smaller tax on Gas, structured vector auto-regression (SVAR) simulations of a carbon tax show demand for Oil falling, with a rush for natural Gas. These simulations show that a modest ($40 per metric ton) carbon tax can be introduced gradually, avoiding price instability and achieving greater substitution into Gas than a tax ‘shock.’

scholarly journals Spillover effects from news to travel and leisure stocks during the COVID-19 pandemic: Evidence from the time and frequency domains

2021 ◽  
pp. 135481662110584
Author(s):  
Ying Wang ◽  
Hongwei Zhang ◽  
Wang Gao ◽  
Cai Yang
Keyword(s):  
Frequency Domain ◽  
Time Domain ◽  
Spillover Effects ◽  
Short Term ◽  
Time Frequency ◽  
Frequency Domains ◽  
Media Hype ◽  
The Time Domain ◽  
The Impact

The impact of the COVID-19 pandemic on tourism has received general attention in the literature, while the role of news during the pandemic has been ignored. Using a time-frequency connectedness approach, this paper focuses on the spillover effects of COVID-19-related news on the return and volatility of four regional travel and leisure (T&L) stocks. The results in the time domain reveal significant spillovers from news to T&L stocks. Specifically, in the return system, T&L stocks are mainly affected by media hype, while in the volatility system, they are mainly affected by panic sentiment. This paper also finds two risk contagion paths. The contagion index and Global T&L stock are the sources of these paths. The results in the frequency domain indicate that the shocks in the T&L industry are mainly driven by short-term fluctuations. The spillovers from news to T&L stocks and among these T&L stocks are stronger within 1 month.

BEARING PERFORMANCE DEGRADATION ASSESSMENT BY ORTHOGONAL LOCAL PRESERVING PROJECTION AND CONTINUOUS HIDDEN MARKOV MODEL

2016 ◽  
Vol 40 (5) ◽  
pp. 1019-1030
Author(s):  
Tao Liu ◽  
Xing Wu ◽  
Yu Guo ◽  
Chang Liu
Keyword(s):  
Markov Model ◽  
Hidden Markov Model ◽  
Frequency Domain ◽  
Hidden Markov ◽  
Performance Degradation ◽  
Time Frequency ◽  
Rotating Machine ◽  
Accelerated Life ◽  
The Time Domain ◽  
Degradation Degree

Bearing is the key component in rotating machine. It is important to assess the performance degradation degree of bearings for making proactive maintenance and realizing near-zero downtime. A methodology based on orthogonal local preserving projection (OLPP) and continuous hidden Markov model (CHMM) is introduced in bearing performance degradation assessment. Firstly, the time domain, frequency domain and time-frequency domain features are extracted from the vibration signals. Then, the multi-dimensional features are reduced by OLPP. And the selection of the adjacent paragraph parameters in OLPP is optimized adaptively by minimizing the ratio of between-class distance to within-class distance. A CHMM is trained by using the reduced feature in normal condition. At last, the test bearing data are input into the pre-trained CHMM to calculate the log-likelihood of the test data, which can assess the performance degradation of bearings quantitatively. A bearing accelerated life experiment is performed to validate the feasibility and validity of the proposed method.

scholarly journals Application of Correlation Analysis for Assessment of Infrasound Signals Emission by Wind Turbines

Sensors ◽  
2020 ◽  
Vol 20 (23) ◽  
pp. 6891
Author(s):  
Tomasz Boczar ◽  
Dariusz Zmarzły ◽  
Michał Kozioł ◽  
Daria Wotzka
Keyword(s):  
Correlation Analysis ◽  
Frequency Domain ◽  
Coherence Function ◽  
Wind Farms ◽  
Wavelet Coherence ◽  
Technical Parameters ◽  
Time Frequency ◽  
Frequency Domains ◽  
Frequency Transformations ◽  
The Time Domain

The study reported in this paper is concerned with areas related to developing methods of measuring, processing and analyzing infrasound noise caused by operation of wind farms. The paper contains the results of the correlation analysis of infrasound signals generated by a wind turbine with a rated capacity of 2 MW recorded by three independent measurement setups comprising identical components and characterized by the same technical parameters. The measurements of infrasound signals utilized a dedicated measurement system called INFRA, which was developed and built by KFB ACOUSTICS Sp. z o.o. In particular, the scope of the paper includes the results of correlation analysis in the time domain, which was carried out using the autocovariance function separately for each of the three measuring setups. Moreover, the courses of the cross-correlation function were calculated separately for each of the potential combinations of infrasound range recorded by the three measuring setups. In the second stage, a correlation analysis of the recorded infrasound signals in the frequency domain was performed, using the coherence function. In the next step, infrasound signals recorded in three setups were subjected to time-frequency transformations. In this part, the waveforms of the scalograms were determined by means of continuous wavelet transform. Wavelet coherence waveforms were calculated in order to determine the level of the correlation of the obtained dependencies in the time-frequency domain. The summary contains the results derived from using correlation analysis methods in the time, frequency and time-frequency domains.

Channel Estimating Based on Space-Time-Frequency Pilot for MIMO-OFDM

2012 ◽  
Vol 429 ◽  
pp. 179-185
Author(s):  
Hui Liu ◽  
Jing Shan Jiao ◽  
Fu Chun Zhang ◽  
Ling Zhou
Keyword(s):  
Frequency Domain ◽  
Time Domain ◽  
Space Time ◽  
Three Dimensions ◽  
Space Domain ◽  
Time Frequency ◽  
Time Space ◽  
Mimo Ofdm ◽  
The Time Domain ◽  
Inverse Operation

The pilots that are transmitted by different transmitting antennas must be orthogonal after being shifted. So the time domain channel estimating solution is deduced through LS based on the MIMO-OFDM channel estimating model. The time domain solution need the inverse operation of matrix, and its operating quantity is large. So the three dimensions pilot based on space domain, time domain and frequency domain is designed. The method need not the inverse operation of matrix for the time domain channel estimating solution and can reduce the complexity of channel estimating and make the channel estimating error minimum. It is shown from the simulation that the channel estimating method of this paper based on space domain, time space and frequency domain pilot has better MSE and BER performances compared with the traditional LS algorithm and the document algorithm.

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