Information Processing for Analysis of Consumption Flexibility of Global Natural Gas Demand

2014 ◽  
Vol 707 ◽  
pp. 514-519
Author(s):  
Xin Min Zhang ◽  
Kuang Cen ◽  
Wan Li Xing
Keyword(s):  
United States ◽  
Economic Development ◽  
Natural Gas ◽  
Price Elasticity ◽  
Income Elasticity ◽  
The United States ◽  
Gas Consumption ◽  
Natural Gas Consumption ◽  
Natural Gas Demand ◽  
The Impact

Gas consumption exist great regional difference, price and income are the main factors affecting consumption .Global gas consumption has slow growth, but the price in 2008 there was a twist. We analyze the global natural gas consumption and price points using the data from the BP. The level of economic development and natural gas reserves determine the differences in the levels of consumption. In order to eliminate the impact per unit, the regression model uses the data in the log. This paper studied the influence factors of natural gas consumption in North America using of consumer income elasticity and price elasticity. The results show that the gas consumption have a low income elasticity and price elasticity is higher .Law of "S" shape can explain the income elasticity is low, the reason is that the stage of economic development. Price elasticity is higher lies in the different between Canada and the United States, the United States is a net importer of natural gas, and Canada is a net exporter. Keywords: Consumption Flexibility; Natural Gas Demand; income; price

scholarly journals Residential Natural Gas Demand Response Potential during Extreme Cold Events in Electricity-Gas Coupled Energy Systems

Energies ◽  
2020 ◽  
Vol 13 (19) ◽  
pp. 5192
Author(s):  
Andrew Speake ◽  
Paul Donohoo-Vallett ◽  
Eric Wilson ◽  
Emily Chen ◽  
Craig Christensen
Keyword(s):  
United States ◽  
Natural Gas ◽  
Demand Response ◽  
The United States ◽  
Cold Weather ◽  
Residential Heating ◽  
Weather Events ◽  
Extreme Cold ◽  
Natural Gas Demand ◽  
The Impact

In regions where natural gas is used for both power generation and heating buildings, extreme cold weather events can place the electrical system under enormous stress and challenge the ability to meet residential heating and electric demands. Residential demand response has long been used in the power sector to curtail summer electric load, but these types of programs in general have not seen adoption in the natural gas sector during winter months. Natural gas demand response (NG-DR) has garnered interest given recent extreme cold weather events in the United States; however, the magnitude of savings and potential impacts—to occupants and energy markets—are not well understood. We present a case-study analysis of the technical potential for residential natural gas demand response in the northeast United States that utilizes diverse whole-building energy simulations and high-performance computing. Our results show that NG-DR applied to residential heating systems during extreme cold-weather conditions could reduce natural gas demand by 1–29% based on conservative and aggressive strategies, respectively. This indicates a potential to improve the resilience of gas and electric systems during stressful events, which we examine by estimating the impact on energy costs and electricity generation from natural gas. We also explore relationships between hourly indoor temperatures, demand response, and building envelope efficiency.

scholarly journals EKC Test of the Relationship between Nitrogen Dioxide Pollution and Economic Growth—A Spatial Econometric Analysis Based on Chinese City Data

2021 ◽  
Vol 18 (18) ◽  
pp. 9697
Author(s):  
Chengyu Han ◽  
Zhaolin Gu ◽  
Hexiang Yang
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Natural Gas ◽  
Nitrogen Dioxide ◽  
Kuznets Curve ◽  
Spatial Lag Model ◽  
Gas Consumption ◽  
Natural Gas Consumption ◽  
The Impact ◽  
The Relationship

During the just concluded 13th Five-Year Plan, China continued to maintain the momentum of rapid economic development, but still faced environmental pollution problems caused by this. Finding the relationship between Nitrogen Dioxide pollution and economic development is helpful and significant in better achieving and optimizing sustainable environmental development. Taking China’s 333 prefecture-level cities as samples from 2016 to 2018, the spatial lag model (SAR) was used to study the impact of economic growth on urban Nitrogen Dioxide pollution. The results show that Nitrogen Dioxide has strong positive characteristics of spatial spillover, but there is a linear relationship between economic growth and Nitrogen Dioxide concentration that slowly rises, and there is no inverted U-shaped relationship, which does not support the Environmental Kuznets Curve (EKC) hypothesis; The results also show the impact of per capita GDP, natural gas consumption, residential natural gas consumption, industrialization, and transportation development on the increase of Nitrogen Dioxide concentration, and the impact of green coverage on the decrease of Nitrogen Dioxide concentration. However, there is no significant relationship between technological investment and Nitrogen Dioxide concentration. The above conclusions are still valid after the robustness test, and recommendations are put forward to reduce Nitrogen Dioxide pollution.

scholarly journals The Price Elasticity of Natural Gas Demand in China: A Meta-Regression Analysis

Energies ◽  
2018 ◽  
Vol 11 (12) ◽  
pp. 3255 ◽  
Author(s):  
Jian Chai ◽  
Huiting Shi ◽  
Xiaoyang Zhou ◽  
Shouyang Wang
Keyword(s):  
Regression Analysis ◽  
Natural Gas ◽  
Price Elasticity ◽  
Long Run ◽  
Cross Price Elasticity ◽  
Gas Consumption ◽  
Natural Gas Consumption ◽  
Meta Regression ◽  
Meta Regression Analysis ◽  
Natural Gas Demand

Since natural gas has become a new star in China’s energy mix, a reliable estimation of the price elasticity of natural gas demand is crucial if we are to understand how energy price changes affect natural gas consumption. In this paper, we conduct a Meta-regression analysis to quantitatively synthesize empirical estimates of the price elasticity of natural gas demand reported in previous studies, provide true underlying values, and explain the heterogeneity of the aforementioned estimates. The Fixed-effects model and ordinary least squares (OLS) are applied to estimate the regression models. As a result, this paper reports a mean elasticity of −1.521 and 0.410 for the short- and long-run own-price elasticity, separately; −0.762 and 0.008 for the short- and long-run cross-price elasticity-coal to natural gas, respectively; 2.122 and 1.884 for the short- and long-run cross-price elasticity-electricity to natural gas, separately; and 2.267 and 1.275 for the short- and long-run cross-price elasticity-oil to natural gas, respectively. Our results suggest that natural gas consumption increases with the decrease of its own and coal prices in the short term and rise of electricity and oil prices. It also shows that almost all heterogeneity can be explained by the type of data, sample period, models of analysis, geographical region, and type of consumer.

scholarly journals Forecasting Natural Gas Consumption in the US Power Sector by a Randomly Optimized Fractional Grey System Model

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Yubin Cai ◽  
Xin Ma ◽  
Wenqing Wu ◽  
Yanqiao Deng
Keyword(s):  
United States ◽  
Natural Gas ◽  
The United States ◽  
Grey Model ◽  
System Model ◽  
Grey System ◽  
Power Sector ◽  
Gas Consumption ◽  
Natural Gas Consumption ◽  
Grey System Model

Natural gas is one of the main energy resources for electricity generation. Reliable forecasting is vital to make sensible policies. A randomly optimized fractional grey system model is developed in this work to forecast the natural gas consumption in the power sector of the United States. The nonhomogeneous grey model with fractional-order accumulation is introduced along with discussions between other existing grey models. A random search optimization scheme is then introduced to optimize the nonlinear parameter of the grey model. And the complete forecasting scheme is built based on the rolling mechanism. The case study is executed based on the updated data set of natural gas consumption of the power sector in the United States. The comparison of results is analyzed from different step sizes, different grey system models, and benchmark models. They all show that the proposed method has significant advantages over the other existing methods, which indicates the proposed method has high potential in short-term forecasting for natural gas consumption of the power sector in United States.

Anne O. Krueger, Constantine Michalopoulos and Vernon W. Ruttan. Aid and Development. Baltimore: The Johns Hopkins University Press. 1989. xiv + 386 pp.Price: U.S. $ 52.00

1991 ◽  
Vol 30 (2) ◽  
pp. 213-217
Author(s):  
Mir Annice Mahmood
Keyword(s):  
United States ◽  
Economic Development ◽  
International Development ◽  
Western Europe ◽  
Development Assistance ◽  
The United States ◽  
Social Infrastructure ◽  
Low Literacy ◽  
The Subject ◽  
The Impact

Foreign aid has been the subject of much examination and research ever since it entered the economic armamentarium approximately 45 years ago. This was the time when the Second World War had successfully ended for the Allies in the defeat of Germany and Japan. However, a new enemy, the Soviet Union, had materialized at the end of the conflict. To counter the threat from the East, the United States undertook the implementation of the Marshal Plan, which was extremely successful in rebuilding and revitalizing a shattered Western Europe. Aid had made its impact. The book under review is by three well-known economists and is the outcome of a study sponsored by the Department of State and the United States Agency for International Development. The major objective of this study was to evaluate the impact of assistance, i.e., aid, on economic development. This evaluation however, was to be based on the existing literature on the subject. The book has five major parts: Part One deals with development thought and development assistance; Part Two looks at the relationship between donors and recipients; Part Three evaluates the use of aid by sector; Part Four presents country case-studies; and Part Five synthesizes the lessons from development assistance. Part One of the book is very informative in that it summarises very concisely the theoretical underpinnings of the aid process. In the beginning, aid was thought to be the answer to underdevelopment which could be achieved by a transfer of capital from the rich to the poor. This approach, however, did not succeed as it was simplistic. Capital transfers were not sufficient in themselves to bring about development, as research in this area came to reveal. The development process is a complicated one, with inputs from all sectors of the economy. Thus, it came to be recognized that factors such as low literacy rates, poor health facilities, and lack of social infrastructure are also responsible for economic backwardness. Part One of the book, therefore, sums up appropriately the various trends in development thought. This is important because the book deals primarily with the issue of the effectiveness of aid as a catalyst to further economic development.

scholarly journals Criteria, Indicators, and Factors of the Sustainable Energy-Saving Economic Development: The Case of Natural Gas Consumption

Energies ◽  
2021 ◽  
Vol 14 (18) ◽  
pp. 5999
Author(s):  
Olexandr Yemelyanov ◽  
Anastasiya Symak ◽  
Tetyana Petrushka ◽  
Olena Vovk ◽  
Oksana Ivanytska ◽  
...  
Keyword(s):  
Economic Development ◽  
Natural Gas ◽  
Energy Saving ◽  
Sustainable Energy ◽  
The State ◽  
Resource Saving ◽  
State Economy ◽  
Negative Effect ◽  
Gas Consumption ◽  
Natural Gas Consumption

To solve the contradiction between achieving long-term economic growth and reducing the consumption of certain types of resources, the concept of sustainable resource saving economic development must be put into practice. The purpose of this research is to establish criteria, develop indicators, and identify factors of the sustainable energy-saving economic development, as well as to test the developed theoretical provisions using the example of natural gas consumption by different countries. To achieve this goal, various methods were used, including economic and mathematical modeling, time series analysis, factor analysis, regression analysis, and so on. The criteria were formalized, according to which a certain type of economic development can be attributed to energy saving both at the level of the state economy as a whole and at the level of individual industries and enterprises. It was established that the formalized criteria of the sustainable energy-saving economic development have the form of chains of inequalities, and their application makes it possible to identify the general conditions for ensuring this type of development. The main properties of energy-saving economic development were identified. They include the pace of this development, its potential, balance, permanence, and other characteristics. Indicators that can be used to quantify these characteristics were developed. The factors influencing the scale and time characteristics of sustainable energy-saving economic development at the level of the state economy and that of industries and individual enterprises, were systematized. The dynamics of natural gas consumption in different countries was analyzed. The reasons for the lack of energy-saving natural gas economic development in some countries were identified. A quantitative assessment of the properties of this type of economic development by country was conducted. The influence of some factors on the parameters of the sustainable energy-saving natural gas economic development of countries was analyzed. The existence of a negative effect of the rebound in the consumption of natural gas was established at certain intervals in some countries. The obtained results provide an opportunity to increase the degree of understanding of the complex patterns that underlie the sustainable energy-saving economic development of states, industries, and enterprises. These results can also be used in the development of government programs to stimulate energy conservation.

scholarly journals Relations between Temperature and Residential Natural Gas Consumption in the Central and Eastern United States

2007 ◽  
Vol 46 (11) ◽  
pp. 1993-2013 ◽  
Author(s):  
Reed P. Timmer ◽  
Peter J. Lamb
Keyword(s):  
United States ◽  
Natural Gas ◽  
Time Scales ◽  
The United States ◽  
Maximum Temperature ◽  
Daily Maximum Temperature ◽  
Daily Maximum ◽  
The South ◽  
Northern Regions ◽  
Gas Consumption

Abstract The increased U.S. natural gas price volatility since the mid-to-late-1980s deregulation generally is attributed to the deregulated market being more sensitive to temperature-related residential demand. This study therefore quantifies relations between winter (November–February; December–February) temperature and residential gas consumption for the United States east of the Rocky Mountains for 1989–2000, by region and on monthly and seasonal time scales. State-level monthly gas consumption data are aggregated for nine multistate subregions of three Petroleum Administration for Defense Districts of the U.S. Department of Energy. Two temperature indices [days below percentile (DBP) and heating degree-days (HDD)] are developed using the Richman–Lamb fine-resolution (∼1° latitude–longitude) set of daily maximum and minimum temperatures for 1949–2000. Temperature parameters/values that maximize DBP/HDD correlations with gas consumption are identified. Maximum DBP and HDD correlations with gas consumption consistently are largest in the Great Lakes–Ohio Valley region on both monthly (from +0.89 to +0.91) and seasonal (from +0.93 to +0.97) time scales, for which they are based on daily maximum temperature. Such correlations are markedly lower on both time scales (from +0.62 to +0.80) in New England, where gas is less important than heating oil, and on the monthly scale (from +0.55 to +0.75) across the South because of low January correlations. For the South, maximum correlations are for daily DBP and HDD indices based on mean or minimum temperature. The percentiles having the highest DBP index correlations with gas consumption are slightly higher for northern regions than across the South. This is because lower (higher) relative (absolute) temperature thresholds are reached in warmer regions before home heating occurs. However, these optimum percentiles for all regions are bordered broadly by surrounding percentiles for which the correlations are almost as high as the maximum. This consistency establishes the robustness of the temperature–gas consumption relations obtained. The reference temperatures giving the highest HDD correlations with gas consumption are lower for the colder northern regions than farther south where the temperature range is truncated. However, all HDD reference temperatures greater than +10°C (+15°C) yield similar such correlations for northern (southern) regions, further confirming the robustness of the findings. This robustness, coupled with the very high correlation magnitudes obtained, suggests that potentially strong gas consumption predictability would follow from accurate seasonal temperature forecasts.

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