scholarly journals The Impact of Natural Gas Price Deregulation on the South Carolina Food-Processing Sectors

1983 ◽  
Vol 15 (2) ◽  
pp. 41-48 ◽  
Author(s):  
Mark S. Henry
Keyword(s):  
South Carolina ◽  
Natural Gas ◽  
Policy Debate ◽  
Natural Gas Pipelines ◽  
Natural Gas Markets ◽  
Natural Gas Prices ◽  
The Subject ◽  
Gas Price ◽  
The Impact ◽  
Recent Policy

The economic distortions that have been caused by federal regulation of natural gas markets have been the subject of many recent studies (Committee for Economic Development [CED]; Brickhill; Hall; MacAvoy and Pindyck; and Means). The most recent policy debate concerns the relative merits of alternatives to the price deregulation schedule of the 1978 Natural Gas Policy Act (NGPA). The range of options runs from freezing natural gas prices at current levels to complete decontrol of natural gas prices by January 1, 1986. Producers of natural gas, pipelines, distribution utilities, and end users all suffer from some sort of economic distortion under the NGPA (CED, pp. 50-60).

scholarly journals The Impact of Natural Gas Prices on Production by Industries in Slovenia

10.4335/67 ◽  
2009 ◽  
Vol 7 (1) ◽  
pp. 65-81
Author(s):  
Mejra Festić ◽  
France Križanič
Keyword(s):  
Natural Gas ◽  
Hot Water ◽  
Materials Processing ◽  
Water Supplies ◽  
Processing Industry ◽  
Pulp Paper ◽  
Plastic Materials ◽  
Natural Gas Prices ◽  
Gas Price ◽  
The Impact

Article empirically investigates how intensive is the impact of natural gas prices on production by industries in Slovenian economy. Natural gas price movements can help us in forecasting the movements in electricity, natural gas, steam, hot water supplies, the production of metals, textiles, leather, footwear, leather and fur products, clothes, the production of pulp, paper, cardboard and products from paper and cardboard, the production of products from rubber and plastic materials, processing industry and the production of furniture, the production of intermediary consumption products and recycling. We proved that natural gas prices increase for 1 % point contributes to higher prices of living necessaries for 0,005 % points. KEYWORDS: • natural gas prices • gas quantities • production by industries • Slovenia

An Emerging Methodology of Slope Hazard Assessment for Natural Gas Pipelines

2000 ◽  
Author(s):  
Z. Joe Zhou ◽  
Bill Liu ◽  
Gregg O’Neil ◽  
Moness Rizkalla
Keyword(s):  
Natural Gas ◽  
Public Information ◽  
Ground Movement ◽  
Management Approach ◽  
Hazard Management ◽  
Slope Movements ◽  
Natural Gas Pipelines ◽  
Site Investigations ◽  
The Impact ◽  
Ranked List

TransCanada Pipelines Ltd. (TransCanada) operates approximately 37,000 km of natural gas gathering and transmission pipelines. Within the Alberta portion of this system there are almost 1100 locations where the pipeline(s) traverse slopes, primarily as the line approaches and exits stream crossings. In the past, the approach to managing the impact of slope movements on pipeline integrity has been reactive; site investigations and/or monitoring programs would only be initiated once the slope movements were sufficiently large so as to easily observe cracking or scarp development. In some cases these movements could lead to a pipeline rupture. To move to a proactive hazard management approach and to optimize the maintenance expenditure, TransCanada has developed a new slope assessment methodology. The objective of this methodology is to establish a risk-ranked list of slopes upon which maintenance decisions can be based. Using only internal and public information on site conditions as input to predictive models for rainfall-ground movement and pipe-soil interaction, a probability of pipeline failure can be generated for each slope. Estimates of risk using a consequence-matrix approach enabled the compilation of a risk-ranked list of hazardous slopes. This paper describes this methodology, and its implementation at TransCanada, and presents some of the results.

scholarly journals News-Based Research on Forecast of International Natural Gas Price Trend

2020 ◽  
Author(s):  
Tianxiang Li ◽  
Xiaosong Han ◽  
Aoqing Wang ◽  
Hui Li ◽  
Guosheng Liu ◽  
...  
Keyword(s):  
Time Series ◽  
Deep Learning ◽  
Natural Gas ◽  
Predictive Accuracy ◽  
Price Trend ◽  
Learning Network ◽  
Natural Gas Prices ◽  
Deep Learning Network ◽  
Sentiment Score ◽  
Gas Price

In this paper, we build a deep learning network to predict the trends of natural gas prices. Given a time series, for each day, the gas price trend is classified as “up” and “down” according to the price compared to the last day. Meanwhile, we collect news articles as experimental materials from some natural gas related websites. Every article was then embedded into vectors by word2vec, weighted with its sentiment score, and labeled with corresponding day’s price trend. A CNN and LSTM fused network was then trained to predict price trend by these news vectors. Finally, the model’s predictive accuracy reached 62.3%, which outperformed most of other traditional classifiers.

Powering the economy

2021 ◽  
pp. 158-216
Author(s):  
Malcolm Abbott ◽  
Bruce Cohen
Keyword(s):  
Renewable Energy ◽  
Natural Gas ◽  
Reform Process ◽  
Electricity Pricing ◽  
Natural Gas Markets ◽  
International Trends ◽  
Pros And Cons ◽  
Reform Processes ◽  
Gas Markets ◽  
The Impact

In this chapter the reform processes relating to the electricity and natural gas markets are examined, beginning with the changes that occurred in the early 1990s and tracking through the first two decades of the new century. In doing so, the influence of international trends are considered, and the various benefits and problems associated with the reform process are discussed in detail. In addition to looking at the structural and ownership changes that occurred during this period, specific attention is given to the manner in which prices for monopoly assets were determined, changes in regulation of electricity pricing for retail customers and the impact of the measures used to promote renewable energy. Related to these various reforms has been the problems that have arisen from the need to ensure security of supply. Additional attention, therefore, is given to an examination of these issues, including the pros and cons of establishing a domestic gas reserve policy.

scholarly journals Natural Gas Prices and the Extreme Winters of 2011/12 and 2013/14: Causes, Indicators, and Interactions

2015 ◽  
Vol 96 (11) ◽  
pp. 1879-1894 ◽  
Author(s):  
Carl J. Schreck ◽  
Stephen Bennett ◽  
Jason M. Cordeira ◽  
Jake Crouch ◽  
Jenny Dissen ◽  
...  
Keyword(s):  
United States ◽  
Natural Gas ◽  
The United States ◽  
The Arctic ◽  
Cool Season ◽  
Natural Gas Markets ◽  
Global Recession ◽  
Warm Anomaly ◽  
Natural Gas Prices ◽  
The Tropics

Abstract Day-to-day volatility in natural gas markets is driven largely by variability in heating demand, which is in turn dominated by cool-season temperature anomalies over the northeastern quadrant of the United States (“Midwest–East”). Energy traders rely on temperature forecasts at horizons of 2–4 weeks to anticipate those fluctuations in demand. Forecasts from dynamical models are widely available, so the markets react quickly to changes in the model predictions. Traders often work with meteorologists who leverage teleconnections from the tropics and the Arctic to improve upon the model forecasts. This study demonstrates how natural gas prices react to Midwest–East temperatures using the anomalous winters of 2011/12 and 2013/14. These examples also illustrate how energy meteorologists use teleconnections from the Arctic and the tropics to forecast heating demand. Winter 2011/12 was exceptionally warm, consistent with the positive Arctic Oscillation (AO). March 2012 was a fitting exclamation point on the winter as it featured the largest warm anomaly for the United States above the twentieth-century climatology of any month since 1895. The resulting lack of heating demand led to record surpluses of natural gas storage and spurred prices downward to an 11-yr low in April 2012. In sharp contrast, winter 2013/14 was unusually cold. An anomalous Alaskan ridge led to cold air being transported from Siberia into the United States, despite the AO generally being positive. The ensuing swell in heating demand exhausted the surplus natural gas inventory, and prices rose to their highest levels since the beginning of the global recession in 2008.

Measuring the Benefits of Greater Spatial Granularity in Short-Term Pricing in Wholesale Electricity Markets

2011 ◽  
Vol 101 (3) ◽  
pp. 247-252 ◽  
Author(s):  
Frank A Wolak
Keyword(s):  
Natural Gas ◽  
Electricity Markets ◽  
Electricity Market ◽  
Short Term ◽  
Locational Marginal Pricing ◽  
Marginal Pricing ◽  
Before And After ◽  
Natural Gas Prices ◽  
The Impact ◽  
Generation Unit

Hourly generation unit-level output levels, detailed information on the technological characteristics of generation units, and daily delivered natural gas prices to all generation units for the California wholesale electricity market before and after the implementation of locational marginal pricing are used to measure the impact of introducing greater spatial granularity in short-term energy pricing. The average hourly number of generation unit starts increases, but both the total hourly energy consumed and total hourly operating costs for all natural gas-fired generation units fall by more than 2 percent after the implementation of locational marginal pricing.

Seasonal Effects in Natural Gas Prices and the Impact of the Economic Recession

Wilmott ◽  
2014 ◽  
Vol 2014 (74) ◽  
pp. 74-81 ◽  
Author(s):  
J. Rogel-Salazar ◽  
N. Sapsford
Keyword(s):  
Natural Gas ◽  
Economic Recession ◽  
Seasonal Effects ◽  
Natural Gas Prices ◽  
The Impact
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