Optimization of Long Distance Natural Gas Pipeline Design Proposals Based on Multi-Objective AHM Method

Article Preview

Abstract:

the new method-AHM, and nine parameters which included diameter, delivery pressure, pressure ratio of the first station, pressure ratios of intermediate stations, number of stations, investment costs of pipeline ,investment costs of stations, investment costs of operation ,equivalent cost, have been selected to evaluate design projects of the long distance natural gas pipeline. The results indicate that attribute AHM matches other methods well. The calculation result of the example indicates that AHM method can get a good assessment result for the multifactor and multi-hierarchy complicated problems. The study provides a new method and technique for designers to select the technical feasible and economic reasonable design case, which has some theoretical and practical value.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 756-759)

Pages:

4309-4313

Citation:

Online since:

September 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] WANG Yuchun. Optimization in Oil and Gas Pipeline with Gray System Method [J]. Petroleum Planning & Engineering, 1993, 4(3): 27-30.

Google Scholar

[2] XIAO Fangchun. Fuzzy Matter-Element Optimum for Transportation Programs of Natural Gas Network Systems[J]. Oil-Gasfield Surface Engineering, 1996, 16(3): 1-3.

Google Scholar

[3] LIU Wu. Optimization of Long-distance Natural Gas Transportation Pipeline Design based on AHP Method [J]. Petroleum Planning & Engineering, 2002, 13(3): 22-24.

Google Scholar

[4] LIU Wu. Study on Optimization of Long-distance Natural Gas Transportation Pipeline Design [J]. Oil&Gax Transporlation and Sponage, 2004, 22(3): 21-24.

Google Scholar

[5] NIE Tingzhe and DUAN Changgui. Natural Gas Pipeline Systems Design Based on Fuzzy Decision [J]. Oil & Gas Storage and Transportation , 2003, 22(11): 28-31.

Google Scholar

[6] WEN Tao, WANG Yuchun et al. Application of A Multi-valuation System for Gas Pipeline's EngineeringSchemes[J]. Oil & Gas Storage and Transportation, 2005, 24(8): 10-14.

Google Scholar

[7] SU Xin, HUANG Kun, YANG Hua, et al. Application of Fuzzy Analysis of Hierachical Process(FAHP) in Optimizing Cross Pipeline Selection[J]. Journal of Oil and Gas Technology, 2005, 27(6): 801-802.

Google Scholar

[8] SU Xin, XIE Ying, YUAN Zongming, et al. Optimization of Long-distance Natural Gas Transportation Pipeline Design Based on Entropy-Weight Coefficient Method [J]. Natural Gas Industry, 2007, 27(4): 112-114.

Google Scholar

[9] LI Wanqing, MA Lihua, MENG Wenqing. Comprehensive evaluation model for the safety of fully mechanized mining face based on unascertainedmeasure and AHM [J]. Journal of China Coal Society, 2007, 32(6): 614-616.

Google Scholar

[10] CHENG Qiansheng. Analytic Hierarchy Process (AHP) and Attribute H ierarchical Model (AHM) [J]. Systems Engineering-Theory&Practice, 1998, 34(l) : 10-14.

Google Scholar

[11] CHENG Qiansheng. Analytic Hierarchy Process (AHP) and Att- ribute Hierarchical Model (AHM )[J]. Systems Engineering-Theory&Practice, 1997, (11) 25-28.

Google Scholar

[12] CAI Huiping, CHENG Qiansheng. The Application of Attribute Hierarchical Model to Decision Making of Stock-Selection [J]. Mathematics in Practice and Theory, 2005, 35(3): 55-58.

Google Scholar

[13] Ll Lianshui, WANG Guizhi, HUANG Xiao-rong et al. Meteorological Disaster Evaluation in AH M Research [J]. Journal of Applied Statisties and Management, 2011, 30(2): 201-205.

Google Scholar

[14] CAI Zhenyu, LI Simin, REN Jian-hua, et al. Comprehensive Assessment of Urban Water Saving Level Based on AHM [J]. China Water&Wastewater, 2006, 22(7): 54-56.

Google Scholar