Wellhead Natural Gas Price Determination – Some Comments

1992 ◽  
Vol 10 (6) ◽  
pp. 422-428
Author(s):  
John H. Herbert

In this note we examine the relationship between the wellhead price of natural gas and institutional changes in the industry and other factors that influence this price. As part of this examination we estimate an equation to summarize the monthly relationship between the price of natural gas at the wellhead and the price of residual fuel oil and other variables between January 1987 and December 1991.

1992 ◽  
Vol 10 (2) ◽  
pp. 131-140
Author(s):  
Donald I. Hertzmark

In the 1980s, Asian energy markets expanded at a rapid rate to meet the surge in demand from Japan, Korea, and Taiwan. This demand boom coincided with an increase in non-OPEC oil production in the region. As oil production stabilizes, demand looks set to rise sharply, this time in the new Newly Industrialized Countries of Southeast Asia, Thailand, Malaysia, and Indonesia. Natural gas will play a key role in this expansion of energy use and could start to lead rather than follow oil markets. The leading role of natural gas will be especially strong if gas starts to make inroads in the high and middle ends of the barrel with oxygenated gasoline and compressed natural gas for trucks. At the bottom of the barrel, natural gas could increasingly usurp the role of residual fuel oil for environmental reasons. At the same time, regional refiners could find that residual oil is their leading source of additional feed for the new process units currently under discussion or planning. The supply outlook for natural gas is increasingly fraught with uncertainties as more of the region's supplies must come from distant areas. In particular, LNG supplies from Malaysia and Indonesia will need to be replaced by the early part of the next century as rising domestic demand eats into the exportable gas production. New sources include China, Siberia, Sakhalin Island, Papua New Guinea, and Canada. There will be intense competition to supply the Northeast Asian markets as the gas production in Southeast Asia is increasingly used within ASEAN.


1987 ◽  
Vol 109 (2) ◽  
pp. 207-214 ◽  
Author(s):  
J. A. Mulholland ◽  
R. E. Hall

Two pilot-scale (0.73 MW or 2.5 × 106 Btu/hr) firetube package boilers were retrofitted for fuel oil reburning application for NOx emission control. When firing distillate fuel oil (0.01 percent nitrogen content), an overall NOx reduction of 46 percent from an uncontrolled emission of 125 ppm (dry, at zero percent O2) was realized by diverting 20 percent of the total boiler load to a second stage burner; a 51 percent NOx reduction from 265 ppm was achieved in a distillate/residual fuel oil mixture (0.14 percent nitrogen content) reburning application. Nitrogen-free fuel oil reburning was found to be slightly more effective at reducing NOx than was natural gas reburning, although longer fuel-rich zone residence times were required to allow for evaporation and mixing of the fuel oil droplets. Key parameters investigated which impact the reburning process were: primary flame NOx, reburn zone stoichiometry, and reburn zone residence time. Reburning applied to firetube package boilers requires minimal facility modification. Reburning can be coupled with other NOx control techniques (e.g., distributed air low NOx burners) to achieve NOx emissions of less than 100 ppm. However, for very low primary flame NOx conditions (i.e., less than 200 ppm), reburning fuel nitrogen content is a limiting factor, and reburning with a low-nitrogen-content fuel, such as natural gas or nitrogen-free distillate oil, may be necessary to achieve 50 percent NOx reduction.


2014 ◽  
Vol 1044-1045 ◽  
pp. 1872-1875
Author(s):  
Yi Ti Tung ◽  
Tzu Yi Pai ◽  
Li Hua Shih ◽  
Shu Wen Fan ◽  
Wei Cyuan Lin ◽  
...  

In this study, four types of artificial neural network (ANN) were adopted to forecast transportation sector’s energy consumption (TSEC) taking different number of input variables. By taking premium gasoline price (PGP), premium diesel oil price (PDOP), fuel oil price (FOP), raw material natural gas price (RMNGP), and fuel natural gas price (FNGP) as input variables, ANN could successfully forecast TSEC, the best mean absolute percentage error, mean square error, root mean square error, and correlation coefficient for training and testing were 15.03 % versus 24.43 %, 2792036.59 versus 11982081.08, 1670.94 versus 3461.51, and 0.71 versus 0.51, respectively.


2012 ◽  
Vol 616-618 ◽  
pp. 1404-1408
Author(s):  
Si Xi Lu ◽  
Qing Zhong Zhou ◽  
Rong Fan

In order to analyze the relationship between energy consumption and environmental pollution, grey theory has been applied. By making use of the correlative statistic data, inherent grey relevancy between energy consumption and environmental pollution of China has been discussed as an example, and different impact degrees that various energies consumption have on environmental quality of China has been ascertained by calculating the grey relevancy degree. The results show that fuel oil, coal, coal oil, crude oil and gasoline are the energy varieties that have great impact on environmental quality, while natural gas has less impact on environmental quality. In the end, energy consumption development strategies that can improve environmental quality have been put forward to offer scientific gist for adjusting energy consumption structure, improving environmental quality and actualizing sustainable development between energy consumption and environment.


2013 ◽  
Vol 11 (4) ◽  
pp. 518-527

Energy use in Greek Industry, fuel mix changes and contribution of major sectors from 1960 to 2004 are presented and analysed. Energy related air pollutant emissions are estimated and presented too. Energy use in Industry has shown a growing trend. Residual fuel oil was the predominant energy form, but with decreasing share, while electricity had a remarkable and steadily increasing share, reflecting changes in industrial equipment towards more automated production processes. Natural Gas started to contribute to energy mix in late ’90s. Emissions followed energy’s growth but with lower rates, since ‘dirty fuels’ use grew slower than electricity, which is a ‘clean fuel’ in final uses. Sectors with the greater contribution in energy use and air pollutant emissions were ‘Basic Metals’ and ‘Chemical’ from 1960 to 1975, while after 1985 ‘Non-metallic Minerals’ and ‘Energy’ sectors had the greater contribution. More than 50% of the countries industrial units are located close to Athens. In 2003, Attica’s share to total industry’s emissions was lower than the share of industries, while neighbouring prefectures’ share was higher. The share of ‘dirty’ industries is higher in the neighbouring to Attica prefectures, while in Attica the share of industries using mainly electricity (‘clean’ final energy form) is higher. The enlargement of natural gas penetration together with energy saving measures will affect positive any emission reduction policy.


1959 ◽  
Vol 62 (2) ◽  
pp. 216-218
Author(s):  
Takezo Obata ◽  
Yukio Morishita ◽  
Hiroshi Iijima
Keyword(s):  
Fuel Oil ◽  

2004 ◽  
Vol 22 (5-6) ◽  
pp. 631-645 ◽  
Author(s):  
Mohammad Farhat Ali ◽  
Mohammad Nahid Siddiqui ◽  
Adnan Ahmed Al-Hajji

Author(s):  
Xiling Zhao ◽  
Xiaoyin Wang ◽  
Tao Sun

Distributed peak-shaving heat pump technology is to use a heat pump to adjust the heat on the secondary network in a substation, with features of low initial investment, flexible adjustment, and high operating cost. The paper takes an example for the system that uses two 9F class gas turbines (back pressure steam) as the basic heat source and a distributed heat pump in the substation as the peak-shaving heat source. The peak-shaving ratio is defined as the ratio of the designed peak-shaving heat load and the designed total heat load. The economic annual cost is taken as a goal, and the optimal peak-shaving ratio of the system is investigated. The influence of natural gas price, electricity price, and transportation distance are also analyzed. It can provide the reference for the optimized design and operation of the system.


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