scholarly journals MULTIVARIATE REGRESSION MODEL OF NATURAL GAS CONSUMPTION AS A FUNCTION OF POPULATION AND TEMPERATURE IN GERMANY

2021 ◽  
Vol 1 (6) ◽  
pp. 11-14
Author(s):  
G.V. Abramkin ◽  
◽  
V.N. Rusev
Keyword(s):  
Natural Gas ◽  
Regression Model ◽  
Statistical Data ◽  
Multiple Regression Model ◽  
Federal Republic Of Germany ◽  
Mathematical Methods ◽  
Multivariate Regression Model ◽  
Gas Consumption ◽  
Natural Gas Consumption ◽  
Model Residuals

In this paper a mathematical multiple regression model has been constructed based on statistical data on natural gas consumption in the Federal Republic of Germany (FRG) as a function of temperature and population. A normal distribution of the raw data and residuals was analysed, and a regression equation with a possible economic treatment of the data was derived. Using mathematical methods, the autocorrelation of the model residuals was investigated. Based on the calculations, the importance of these indicators for gas consumption is shown. The importance of other variables, which are not yet reported in this study, is noted.

scholarly journals Energy Efficiency Benchmark in Textile Manufacturing Companies

2021 ◽  
Vol 25 (1) ◽  
pp. 331-342
Author(s):  
Linda Čerdancova ◽  
Kristiāna Dolge ◽  
Edgars Kudurs ◽  
Dagnija Blumberga
Keyword(s):  
Natural Gas ◽  
Statistical Data ◽  
Electricity Consumption ◽  
Manufacturing Companies ◽  
Textile Production ◽  
Regression Methods ◽  
Gas Consumption ◽  
Natural Gas Consumption ◽  
Production Company

Abstract Within the framework of the study a case study is performed, the data provided by a Latvian textile production company on their electricity and natural gas consumption, as well as production volumes over a three-year period have been analysed. The specific indicators of electricity, natural gas and CO2 emissions have been calculated and the obtained results are shown in graphs. The correlation of specific indicators with production volumes was analysed by correlation coefficient and linear regression methods. An analysis of statistical data for the calculated specific indicators over a three-year period has been performed. The obtained results show high seasonality of natural gas consumption and close connection between electricity consumption and production volumes.

EXPERIENCE, PROSPECTS AND PROBLEMS OF COOPERATION BETWEEN CHINA AND TURKMENISTAN IN THE FIELDOF NATURAL GAS

2019 ◽  
pp. 323-329
Author(s):  
Y. JIA
Keyword(s):  
Natural Gas ◽  
Central Asia ◽  
Oil And Gas ◽  
The European Union ◽  
Multilateral Cooperation ◽  
Industrial Chain ◽  
The Usa ◽  
Gas Consumption ◽  
Slow Progress ◽  
Natural Gas Consumption

Since 2007, the use of natural gas in China depends on the import, and with an increase in natural gas consumption, gas imports are also constantly growing. In 2018, Chinas natural gas imports approached 100 billion cubic meters, which is 70 times more than in 2006. In recent years, increasing attention has been paid to the use of natural gas in China. Turkmenistan is Chinas main source of pipeline gas imports, and China is Turkmenistans largest exporter of natural gas. In the framework of the traditional model of oil and gas cooperation, China and Turkmenistan are facing such problems as the uniform content of cooperation, lack of close ties in the field of multilateral cooperation and slow progress in the development of the entire industrial chain. Cooperation between China and Central Asia in the field of oil and gas is increasingly affecting the nerves of other countries, except the five countries of Central Asia, but including Russia, Afghanistan, Pakistan, India, Iran and other countries of the Middle East, Japan, South Korea, etc. and even the European Union and the USA. Despite the favorable trading environment for both parties, there are also problems in the domestic market of Turkmenistan and the risks of international competition.

Forecasting the daily natural gas consumption with an accurate white-box model

Energy ◽  
2021 ◽  
pp. 121036
Author(s):  
Nan Wei ◽  
Lihua Yin ◽  
Chao Li ◽  
Changjun Li ◽  
Christine Chan ◽  
...  
Keyword(s):  
Natural Gas ◽  
Box Model ◽  
Gas Consumption ◽  
Natural Gas Consumption

Forecasting natural gas consumption using Bagging and modified regularization techniques

2022 ◽  
pp. 105760
Author(s):  
Erick Meira ◽  
Fernando Luiz Cyrino Oliveira ◽  
Lilian M. de Menezes
Keyword(s):  
Natural Gas ◽  
Regularization Techniques ◽  
Gas Consumption ◽  
Natural Gas Consumption

scholarly journals Analysis of Natural Gas Consumption by the Industrial Sector of Bangladesh

2013 ◽  
Vol 27 ◽  
pp. 1-7
Author(s):  
Mahbubur Rahman ◽  
Mohammad Tamin ◽  
Lutfar Rahman
Keyword(s):  
Natural Gas ◽  
Chemical Engineering ◽  
Industrial Sector ◽  
Policy Makers ◽  
Usual Practice ◽  
Consumption Data ◽  
Depth Analysis ◽  
Gas Consumption ◽  
Natural Gas Consumption ◽  
First Time

The natural gas consuming sectors in Bangladesh are: i) Power, ii) Fertilizer, iii) Industry, iv) Captive power, v) Domestic, vi) Commercial, and vii) Transportation (CNG). Broad sectoral consumptions are reported in various literatures and reports, however, further breakdown of the data are difficult to find, and neither reported. The combined consumption of fertilizer, industry and captive power sectors is a significant portion of national gas consumption. This paper presents for the first time an in-depth analysis of the industrial sector gas consumption. Data were collected for each type of industry, and grouped according to the United Nations Framework Convention for Climate Change (UNFCCC). Captive generation is included in the industrial sector consumption, unlike the usual practice of considering it under the power generation. It is noticed that garments, textile and leather industries together have shown remarkable growth in the last decade. All the industries are more or less related to the national GDP growth. Some are export oriented while others address the internal market. Therefore analysis presented here should be helpful for policy makers to prioritize the sectors in case preferential supply and tariff adjustments become necessary.DOI: http://dx.doi.org/10.3329/jce.v27i1.15846 Journal of Chemical Engineering, IEB Vol. ChE. 27, No. 1, June 2012: 1-7

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