Study for Planning and Guideline for Select the Reasonable Mountainous Light Rail Transit System (산악용 경전철의 계획 및 시스템 선정에 관한 고찰)
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- Proceedings of the KSR Conference
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- 한국철도학회 2008년도 춘계학술대회 논문집
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- pp.1683-1688
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- 2008
These days, in Korea, according to improving the standard living, people generally work 5 days a week and it results more leisure hours. On weekends or in specific season, travel to mountain region around the major city is much in demand, and, in case of public transportation, the demand exceeds the supply. So, people tend to go other places, even overseas, for their holidays. The situation in Korea reflects the needs for mountainous light rail transit system with the object of convenient and rapid transport of passengers. In this paper, the guideline for mountainous light rail transit planing is proposed, and the representative mountainous light rail transit system is analyzed to choose the proper mountainous light rail transit system which adapts the demand for transportation and the terrain in Korea.
Cellular manufacturing system (CMS) has been recognized as an alternative to improve manufacturing productivity in conventional batch-type manufacturing systems through reducing set-up times, work-in-process inventories and throughput times by means of group technology. Most of the studies on the design of CMS assumed that each part has a unique process plan, and that its demand is known as a deterministic value despite of the probabilistic nature of the real world problems. This study suggests an approach for designing CMS, considering both alternative process plans and uncertain demand. A mathematical model is presented to show how to minimize the expected amortized and operating costs satisfying these two relaxations. Four heuristic algorithms are developed based on tabu search which is well suited for getting an optimal or near-optimal solution. Example problems are carried out to illustrate the heuristic algorithms and each of them is compared with the deterministic counterpart.
An energy storage system consisting of a battery and a power-to-methanol (PtM) unit was investigated to develop an energy storage system for renewable energy systems. A nonlinear programming model was established to optimize the energy storage system. The optimal installation capacities of the battery and power-to-methanol units were determined to minimize the cost of the energy system. The cost from a renewable energy system was assessed for four configurations, with or without energy storage units, of the battery and the power-to-methanol unit. The proposed model was applied to the modified electricity supply and demand based on published data. The results show that value-adding units, such as PtM, need be included to build a stable renewable energy system. This work will significantly contribute to the advancement of electricity supply and demand management and to the establishment of a nationwide policy for renewable energy storage.
1. Comparison of demand and supply A. Assumption of estimation of demand and supply we will briefly assumptions used for presumption once more before comparing the result of estimation of demand and supply examined previously 1) supply - The average applying rate for state. examination of graduate: