Exploratory Research on Engineering the Transport Industries (ETI): Capacity Planning and Design for Transportation and Handling of Bulk Coal over Distribution Networks

运输工业工程 (ETI) 的探索性研究：通过配送网络运输和装卸散装煤炭的容量规划和设计

• 批准号: 0085659
• 负责人: Tayfur Altiok
• 金额: $ 15万
• 依托单位: Rutgers University New Brunswick
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-10-01 至 2003-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0085659&HistoricalAwards=false
• 关键词: Exploratory; Research; Engineering; Transport; Industries

This award is made under the Exploratory Research on Engineering the Transport Industries (ETI) program solicitation. It provides funding for the development of effective modeling, fast simulation and sensitivity analysis for day-to-day transport and handling of coal based on a fluid-flow modeling approach (the approach taken can be easily extended to other bulk materials). Worldwide usage of coal is increasing, the United States being the second largest coal producer in the world and a major coal exporter. The recent trend towards deregulating the power industry has been exerting economic pressures to lower energy prices via improved coal-related operations, due to emerging competition. Our proposal adopts a Continuous-Flow Model (CFM) worldview for modeling, analysis and optimization of the movement of bulk material over distribution networks. We propose a three-prong research project to support coal transport and handling operations as follows: (1) CFM-based analytical modeling and performance analysis of coal-related operations; (2) design and development of a Monte Carlo simulation templates for capacity planning, performance analysis and design of coal enterprise operations from extraction of coal to consumption in coal fired power plants, as well as coal export via marine terminals; and (3) sensitivity analysis via Infinitesimal Perturbation Analysis (IPA) algorithms for efficient computation of derivatives of performance measures with respect to design parameters to support design trade-off decisions.If successful, this research will improve the efficiency and effectiveness of coal handling and transport operations in the U.S. The tool will be made available to the coal and power industries, and its functionality will include capacity planning and performance analysis/design. Another impact will be in the educational arena. The models and scenarios to be developed will be incorporated into various courses (e.g., Performance Analysis, Simulation Modeling, and Operations Management), thereby acquainting students with important issues arising in the coal and power generation industries.

该奖项是根据运输工业工程探索性研究 (ETI) 计划征集而颁发的。 它为基于流体流动建模方法（所采用的方法可以轻松扩展到其他散装材料）的煤炭日常运输和处理的有效建模、快速模拟和敏感性分析的开发提供资金。 全球煤炭使用量不断增加，美国是世界第二大煤炭生产国和主要煤炭出口国。 由于竞争的出现，最近电力行业放松管制的趋势一直在施加经济压力，通过改善煤炭相关业务来降低能源价格。 我们的提案采用连续流模型 (CFM) 世界观来对散装物料在配送网络上的移动进行建模、分析和优化。 我们提出了一个三管齐下的研究项目来支持煤炭运输和装卸业务，具体如下：（1）基于CFM的煤炭相关业务的分析建模和性能分析； (2) 设计和开发蒙特卡罗模拟模板，用于煤炭企业从煤炭开采到燃煤电厂消费以及通过海运码头出口煤炭的运营规划、绩效分析和设计； (3) 通过无限小扰动分析 (IPA) 算法进行灵敏度分析，有效计算性能指标相对于设计参数的导数，以支持设计权衡决策。如果成功，这项研究将提高煤炭处理和运输的效率和有效性。美国的运输业务该工具将提供给煤炭和电力行业，其功能将包括容量规划和性能分析/设计。 另一个影响将在教育领域。 待开发的模型和场景将纳入各种课程（例如性能分析、仿真建模和运营管理），从而使学生熟悉煤炭和发电行业中出现的重要问题。