scholarly journals CHANGE OF CHARACTERISTICS OF HEATING PERIOD IN ULYANOVSK FOR 2000-2020

2021 ◽  
Vol 31 (2) ◽  
pp. 178-184
Author(s):  
E.E. Parfenova ◽  
Yu.P. Perevedentsev
Keyword(s):  
Statistical Analysis ◽  
Initial Data ◽  
Fuel Consumption ◽  
Meteorological Station ◽  
Civil Aviation ◽  
Heating Period ◽  
Cold Part ◽  
Consumption Index ◽  
Meteorological Observations

In this paper we considered the Ulyanovsk heating period characteristics in the period from 2000 to 2020 and their changes. Daily meteorological observations of the Ulyanovsk Civil Aviation Meteorological Station were used as the initial data. Statistical analysis showed that during the period under review, there was a noticeable warming of the cold part of the year, as a result of which the fuel consumption index decreased. It is revealed that the duration of the heating period increases due to its later finish in the spring.

A Multidisciplinary Approach for the Comprehensive Assessment of Integrated Rotorcraft–Powerplant Systems at Mission Level

2014 ◽  
Vol 137 (1) ◽  
Author(s):  
Ioannis Goulos ◽  
Fakhre Ali ◽  
Konstantinos Tzanidakis ◽  
Vassilios Pachidis ◽  
Roberto d'Ippolito
Keyword(s):  
Environmental Impact ◽  
Fuel Consumption ◽  
Comprehensive Assessment ◽  
Pollutant Emissions ◽  
Operational Performance ◽  
Civil Aviation ◽  
Accurate Estimation ◽  
Nox Emissions ◽  
Reactor Model ◽  
Stirred Reactor

This paper presents an integrated methodology for the comprehensive assessment of combined rotorcraft–powerplant systems at mission level. Analytical evaluation of existing and conceptual designs is carried out in terms of operational performance and environmental impact. The proposed approach comprises a wide-range of individual modeling theories applicable to rotorcraft flight dynamics and gas turbine engine performance. A novel, physics-based, stirred reactor model is employed for the rapid estimation of nitrogen oxides (NOx) emissions. The individual mathematical models are implemented within an elaborate numerical procedure, solving for total mission fuel consumption and associated pollutant emissions. The combined approach is applied to the comprehensive analysis of a reference twin-engine light (TEL) aircraft modeled after the Eurocopter Bo 105 helicopter, operating on representative mission scenarios. Extensive comparisons with flight test data are carried out and presented in terms of main rotor trim control angles and power requirements, along with general flight performance charts including payload-range diagrams. Predictions of total mission fuel consumption and NOx emissions are compared with estimated values provided by the Swiss Federal Office of Civil Aviation (FOCA). Good agreement is exhibited between predictions made with the physics-based stirred reactor model and experimentally measured values of NOx emission indices. The obtained results suggest that the production rates of NOx pollutant emissions are predominantly influenced by the behavior of total air inlet pressure upstream of the combustion chamber, which is affected by the employed operational procedures and the time-dependent all-up mass (AUM) of the aircraft. It is demonstrated that accurate estimation of on-board fuel supplies ahead of flight is key to improving fuel economy as well as reducing environmental impact. The proposed methodology essentially constitutes an enabling technology for the comprehensive assessment of existing and conceptual rotorcraft–powerplant systems, in terms of operational performance and environmental impact.

scholarly journals A Study on Sustainable Consumption of Fuel—An Estimation Method of Aircraft

Energies ◽  
2021 ◽  
Vol 14 (22) ◽  
pp. 7559
Author(s):  
Lisha Li ◽  
Shuming Yuan ◽  
Yue Teng ◽  
Jing Shao
Keyword(s):  
Neural Network ◽  
Fuel Consumption ◽  
Influencing Factors ◽  
Carbon Emission ◽  
Estimation Method ◽  
Civil Aviation ◽  
Accurate Estimation ◽  
Low Carbon ◽  
Fuel Price ◽  
Aircraft Fuel

Though the development of China’s civil aviation and the improvement of control ability have strengthened the safety operation and support ability effectively, the airlines are under the pressure of operation costs due to the increase of aircraft fuel price. With the development of optimization controlling methods in flight management systems, it becomes increasingly challenging to cut down flight fuel consumption by control the flight status of the aircraft. Therefore, the airlines both at home and abroad mainly rely on the accurate estimation of aircraft fuel to reduce fuel consumption, and further reduce its carbon emission. The airlines have to take various potential factors into consideration and load more fuel to cope with possible negative situation during the flight. Therefore, the fuel for emergency use is called PBCF (Performance-Based Contingency Fuel). The existing PBCF forecasting method used by China Airlines is not accurate, which fails to take into account various influencing factors. This paper aims to find a method that could predict PBCF more accurately than the existing methods for China Airlines.This paper takes China Eastern Airlines as an example. The experimental data of flight fuel of China Eastern Airlines Co, Ltd. were collected to find out the relevant parameters affecting the fuel consumption, which is followed by the establishment of the LSTM neural network through the parameters and collected data. Finally, through the established neural network model, the PBCF addition required by the airline with different influencing factors is output. It can be seen from the results that the all the four models are available for the accurate prediction of fuel consumption. The amount of data of A319 is much larger than that of A320 and A330, which leads to higher accuracy of the model trained by A319. The study contributes to the calculation methods in the fuel-saving project, and helps the practitioners to learn about a particular fuel calculation method. The study brought insights for practitioners to achieve the goal of low carbon emission and further contributed to their progress towards circular economy.

scholarly journals The Meteorological Observations in Coimbra and the Portuguese Participation in Weather Forecasting in Europe

2011 ◽  
Vol 30 (1) ◽  
pp. 135-162 ◽  
Author(s):  
António Leonardo ◽  
Décio Martins ◽  
Carlos Fiolhais
Keyword(s):  
Weather Forecasting ◽  
Natural Philosophy ◽  
Meteorological Station ◽  
Scientific Investigation ◽  
Magnetic Observatory ◽  
Early Nineteenth Century ◽  
Meteorological Observatory ◽  
The Creation ◽  
Meteorological Observations ◽  
The University

In the early nineteenth century, regular meteorological observations started at the Faculty of Natural Philosophy of the University of Coimbra (FPUC). From 1854 to 1856 these observations were published in O Instituto, a journal of an academic society of the same name, founded in Coimbra in 1852. This new area of science aroused great interest, offering itself as unexplored territory waiting for scientific investigation. In reaction to the pioneering work at the Polytechnic School of Lisbon of Guilherme Pegado, who founded the first meteorological observatory in Portugal in 1854, the FPUC established a Meteorological and Magnetic Observatory in Coimbra. The main actor was, from 1863, the physicist Jacinto António de Sousa. In the twentieth century, the increasing need for weather forecasting, especially at sea, led to the creation of the Meteorological Services of the Navy in which Carvalho Brandão played a pivotal role. It was the beginning of an international cooperation that brought Jacob Bjerknes to Portugal. He addressed a conference at Coimbra recommending the creation of a meteorological station in the Azores, to relay observational data from vessels travelling in the Atlantic. The Portuguese meteorological services were scattered in various institutions until 1946, when the National Meteorological Services (NMS) were created. Based on articles published in O Instituto and on the activities of the academy with the same name, we provide an overview of the evolution of meteorology in Portugal until the establishment of the NMS, with particular emphasis on the work of the Meteorological and Magnetic Observatory at the University of Coimbra.

scholarly journals Multy-year oscillations investigation of winter temperatures Prediction of integrated temperature difference during the heating period

2020 ◽  
Vol 209 ◽  
pp. 06011
Author(s):  
Ivan Khazheev
Keyword(s):  
Temperature Difference ◽  
Statistical Relationship ◽  
Conditional Probabilities ◽  
Heating Season ◽  
Heating Period ◽  
Integral Temperature ◽  
Winter Temperatures ◽  
Before And After ◽  
Expected Values ◽  
Meteorological Observations

To estimate possible deviations in fuel consumption for heating based on meteorological observations of previous years, the integrated temperature difference inside and outside the building during the heating season is used. When the heating period is divided into two subperiods relative to the considered date (for example, before and after December 1), the accumulated and residual integral temperature differences are obtained. The assumption about the presence of a statistical relationship between the accumulated and residual integral temperature difference is confirmed. A model for predicting the probability of the expected values of the integral temperature difference for the upcoming heating period is developed. The model is focused on obtaining matrices of conditional probabilities of observations from intervals of dividing the accumulated integral temperature differences into intervals of residual integral temperature differences.

scholarly journals Meteorological service for civil aviation: problems and ways of their solution

2018 ◽  
Vol 21 (5) ◽  
pp. 117-129 ◽  
Author(s):  
E. A. Bolelov
Keyword(s):  
Russian Federation ◽  
Traffic Management ◽  
Civil Aviation ◽  
Weather Data ◽  
National Regulation ◽  
Weather Forecasts ◽  
Regulatory Frameworks ◽  
The Russian Federation ◽  
Meteorological Observations ◽  
Prediction Techniques

Meteorological support of flights (MSF) of civil aviation (CA) is one of the types of support of flights and is carried out in order to ensure the safety, regularity and efficiency of flights by providing the required meteorological information to users of airspace, bodies engaged in air traffic management. The international and national regulation of the MSF CA is based on the recommendations of the World Meteorological Organization (WMO) and ICAO as well as the Federal Aviation Regulations and other regulatory and guidance documents. In the Russian Federation the MSF CA is performed by "Aviamettelekom of Roshydromet", which is a regional organization with a regional-distributed network of structural units including a head office and 15 branches. Aerodrome meteorological authorities conduct the direct meteorological support. At present, there are a number of problems in the MSF CA, that is availability of the regulatory acts and rules allowing the use by aviation consumers of meteorological information supplied outside the officially authorized providers of meteorological information; insufficient technical provision with modern meteorological equipment of aerodrome meteorological authorities; obsolescence of existing technical means to carry out meteorological observations and supply meteorological information; lack of qualified meteorologists; divisions redundancy of "Aviamettelekom of Roshydromet"; in a number of regions of the Russian Federation there is a lack of reliable methods for weather forecasts and hazardous weather phenomena for aviation; insufficient coverage of the country's territory with a network of meteorological radar and aerological stations. The main ways of improving the MSF CA must be guided in several directions simultaneously: improvement of the legislative and regulatory frameworks of the MSF CA; the development and introduction of modern technical means for carrying out meteorological observations and measurements; development and implementation of computer-aided forecasting on the basis of modern numerical methods and prediction techniques; the centralization of the forecasting processes and sharing weather data.

scholarly journals A statistical Approach for Finding Influential Factors in Respect of Energy Consuming of A Car Passenger

2018 ◽  
Vol 213 ◽  
pp. 04002
Author(s):  
Hussein M. Ali ◽  
Asif Iqbal
Keyword(s):  
Statistical Analysis ◽  
Fuel Consumption ◽  
Statistical Approach ◽  
Energy Resource ◽  
Influential Factors ◽  
Fuel Saving ◽  
Affecting Factors ◽  
Fuel Prices ◽  
Energy Consuming ◽  
The Cost

Nowadays the usage of gasoline as an energy resource is one of the most important subjects in the engineering field. A car is one type of energy consumer. Energy is used to build the cars and to running it. The fuel prices are fluctuate, so it seems sensible to explore every avenue towards saving energy in cars making. and study the factors that affect its consumption. The aim of the present work is to explain theoretically the calculation of fuel saving and cost in a car passengers in a greater detail than it has been done before and to describe statistically the affecting factors upon it. A statistical analysis has been used to study the influence of the weight and acceleration of the car upon the fuel consumption. It was shown that the fuel consumption increases linearly with the increase of a car weight and accordingly, the cost per unit travel of the car will increase.

Comparative assessment of the microclimate in the «Cape Martyan» Nature Reserve according to two weather stations

2019 ◽  
pp. 34-43
Author(s):  
S. P. Korsakova ◽  
P. B. Korsakov
Keyword(s):  
Relative Humidity ◽  
Nature Reserve ◽  
Warm Season ◽  
Comparative Assessment ◽  
Meteorological Station ◽  
Air Temperatures ◽  
Spatio Temporal ◽  
Meteorological Observations ◽  
Conducting Research ◽  
Night Period

A comparative assessment of the microclimate in the «Cape Martyan» Nature Reserve according to meteorological observations in meteorological station "Lavrovoe" and the climate agrometeorological station "Nikitsky sad" is given. As a result of the conducted researches homogeneity and spatio-temporal connectedness of climatic parameters within the investigated territory is established. Statistically significant differences in average and maximum values of air temperature, precipitation and relative humidity between the meteorological station "Lavrovoe" and the climate agrometeorological station "Nikitsky sad" were not revealed. This indicates to the representativeness of the data agrometeorological station for the territory of the «Cape Martyan» Nature Reserve. Statistically significant differences established for minimum air temperatures and relative humidity during the cold period should be taken into account when conducting research in the Eastern part of the Nature Reserve. It was found that the wind regime in the area of the observations by meteorological station "Lavrovoe" in the night period is characterized by air drainage phenomena and the predominance of breeze circulation in the warm season, which largely determine the microclimatic differences between observed meteorological values by station "Lavrovoe" and by station "Nikitsky sad", especially when the radiation weather type.

scholarly journals Planetary Dynamics in the α Centauri System: Lyapunov Spectra and Long-term Behaviour

2011 ◽  
Vol 7 (S282) ◽  
pp. 450-451
Author(s):  
E. A. Popova ◽  
I. I. Shevchenko
Keyword(s):  
Statistical Analysis ◽  
Initial Data ◽  
Planetary Motion ◽  
Fine Grid ◽  
Data Space ◽  
Lyapunov Spectra ◽  
Planetary Dynamics ◽  
The Stability ◽  
Central Stars

AbstractThe stability of planetary motion in the binary system α Cen A–B is studied. Lyapunov spectra of the motion of the system with a single massive planet are computed on a fine grid of the initial data, and, by means of statistical analysis of the obtained data arrays, chaotic domains are identified in the “pericentric distance — eccentricity” initial data space for the planetary orbit. Association with the initial data domains for the orbits exhibiting close encounters with central stars and for the orbits exhibiting long-term escape is investigated.

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