Optimal Location of Compressed Natural Gas (CNG) Refueling Station Using the Arc Demand Coverage Model

A. Boostani, R. Ghodsi, Ali Kamali Miab
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引用次数: 16

Abstract

In this paper a model that locates Compressed Natural Gas (CNG) refueling stations to cover the full volume of vehicle flows is developed and applied. The model inputs consist of a road network include nodes and arcs, the volume of vehicle flows between each pairs of origin and destination nodes, also some assumptions are considered as follows, refueling stations locating hierarchy, road network arcs hierarchy, crisp demand based on the volume of arc demands, road network arc flows, the potential location for refueling stations are limited and the refueling stations are capacitated. This paper extends Arc Demand Coverage Problem (ADCP) to determine locations for constructing CNG refueling stations at the considered potential locations such that the flow demands are fully met and the cost function is minimized. The cost function is positive and non-decreasing function of the located facility number. A heuristic algorithm is applied to solve ADCP.
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基于电弧需求覆盖模型的压缩天然气加气站优化选址
本文提出并应用了一种基于车辆流量的压缩天然气(CNG)加气站选址模型。该模型的输入包括一个包含节点和圆弧的道路网络,每对起点和终点节点之间的车辆流量,并考虑如下假设:加气站位置分层、路网圆弧分层、基于圆弧需求量的清晰需求、路网圆弧流量、加气站的潜在位置有限和加气站有容量。本文将电弧需求覆盖问题(ADCP)扩展到在考虑的潜在位置确定建设CNG加气站的位置,使流量需求得到充分满足,成本函数最小。成本函数是设施数量的正非递减函数。采用启发式算法求解ADCP。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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