Results 81 to 90 of about 28,700 (316)

Simulating security of supply effects of the Nabucco and South Stream projects for the European natural gas market [PDF]

Due to the increasing European import dependency, significant additional natural gas volumes will be required. In addition to the Nord Stream pipeline, the Nabucco and South Stream pipeline are projects planned for the next decade to provide further gas ...
Dieckhoener, Caroline
core  

Market liberalization in the European Natural Gas Market The importance of capacity constraints and efficiency differences [PDF]

In the European Union, energy markets are increasingly being liberalized. A case in point is the European natural gas industry. The general expectation is that more competition will lead to lower prices and higher volumes, and hence higher welfare.
Steven Brakman, Charles van Marrewijk, Arjen van Witteloostuijn   +2 more
core   +2 more sources

Natural gas pipeline risk assessment model based on correction coefficients and risk coupling matrix

管道保护
To address the limited adaptability of traditional static scoring systems (such as the Kent method) and the lack of quantified multi-factor coupling in the GB/T 27512—2011 Risk Assessment Methods for Buried Steel Pipelines standard, a natural gas ...
Xiaoyu MA, Wenzhen QIAN, Wenbin WANG, Qingsen REN, Yaqin WU, Songlin TONG, Siyuan LIU, Gan CUI   +7 more
doaj   +1 more source

Canada, Natural Gas Pipelines

, 1984
Contained within the 5th Edition (1978 to 1995) of the National Atlas of Canada is a map that shows the major gas transmission and distribution lines and names 32 operating companies. The additional network data are names compressor stations and links to United States. The map also shows outlines of gas fields.
openaire   +1 more source

Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

Advanced Science, EarlyView.
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin, Qian Lei, Wei Yan, Yue Li, Tong Xie, Shuang Zhou, Chong Wang, Bram Hoex, Qiang Long, Caoyang Jiang, Min Song, Zhou Li, Zhangwei Wang   +12 more
wiley   +1 more source

Market development in the United Kingdom's natural gas industry [PDF]

The author shows how, in the United Kingdom, government and industry participants have responded to challenges created by opening the natural gas industry to competition.
Juris, Andrej
core  

Cost curves for gas supply security: the case of Bulgaria

, 2012
We evaluate the cost-effectiveness of various policy options and infrastructure investment proposals to improve the security of gas supply in Bulgaria, one of the most gas insecure countries in the European Union.

core   +1 more source

Lightweight design and optimization of pipe connection flanges based on wire arc additive manufacturing

Advances in Mechanical Engineering
Focusing on the problems of material waste, low production efficiency, poor design flexibility and high cost existing in the traditional flange design by conventional casting and machining processes, a flange design method based on wire arc additive ...
Xiaoben Chen, Bo Zhang, Fanglin Shen, Chunxiao Jiao, Jingshu Chang, Wangqiang Xiao, Zhiqin Cai, Kang Sun, Wei Li   +8 more
doaj   +1 more source

Achieving High‐Density and Stress‐Resilient Maize Breeding Via Germplasm Innovation

Advanced Science, EarlyView.
Global population growth and climate change have exacerbated the global food crisis. This perspective presents a conceptual framework focusing on enhancing population advantages. Several novel breeding objectives are proposed to improve density tolerance and stress resistance for yield improvement.
Xinlong Li, Yongqiang Chen, Dong Ding, Xuehai Zhang, Xuxiang Jia, Zhanhui Zhang, Yafei Wang, Weihua Li, Hui Zhang, Jihua Tang   +9 more
wiley   +1 more source

A physics-guided modular deep learning framework for scalable flow state prediction in large-scale gas pipeline networks

Engineering Applications of Computational Fluid Mechanics
Accurate and efficient prediction of flow states in large-scale natural gas pipeline networks (NGPNs) is essential for real-time monitoring, scheduling, and control.
Xiang Dong Xue, Yong Hong Song, Dui Hong Zhang, Shu Jian Ren, Wan Lu Zhang, Yang Kang   +5 more
doaj   +1 more source