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Fuel for a better future at UVA

机译:为UVA的美好未来加油

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摘要

Strategic decisions regarding fuels used to meet the University of Virginia's current and future steam demand require an in-depth understanding of the operations of the University of Virginia's Main Heat Plant. The current mix of fossil fuels that the Main Heat Plant depends on to heat the University is constrained in numerous ways, including: the University of Virginia's natural gas allotments, the contractual curtailments on natural gas set by the City of Charlottesville, the University of Virginia's commitment to reducing greenhouse gas emissions, and financial costs. This paper focuses on developing an 8760 (24 hours × 365 days) model that compares multiple what-if scenarios on key measures through simulating the performance of the plant during a year at one hour increments. These scenarios evaluate the effects of changes to the aforementioned constraints and also to increases in demand. Operators at the Main Heat Plant will use the model through an interface that allows them to observe the performance of the system and explore different alternatives by selecting specific scenarios. Summary graphics for parameters such as greenhouse gas emissions, fuel usage, and cost provide decision makers in the plant and in University of Virginia administration with information needed to make strategic decisions regarding the Main Heat Plant and related fuel agreements. The simulated results were validated through a comparison against actual data collected from July 2016 to June 2017, resulting in 65% of modeled fuel states, matching the historical fuel states for the same periods.
机译:有关用于满足弗吉尼亚大学当前和未来蒸汽需求的燃料的战略决策,需要对弗吉尼亚大学主热电厂的运行有深入的了解。 Main Heat Plant加热大学所需的当前化石燃料混合物在很多方面受到限制,包括:弗吉尼亚大学的天然气配给量,夏洛茨维尔市设定的天然气合同削减量,弗吉尼亚大学的致力于减少温室气体排放和财务成本。本文着重于开发8760(24小时×365天)模型,该模型通过模拟一年中工厂的性能以一小时为增量对关键措施的多种假设情景进行比较。这些方案评估了上述约束的变化以及需求增长的影响。主供热厂的操作员将通过一个界面使用该模型,该界面允许他们观察系统的性能并通过选择特定的方案来探索不同的替代方案。诸如温室气体排放量,燃料使用量和成本之类的参数的摘要图形为工厂和弗吉尼亚大学管理部门的决策者提供了有关主热电厂和相关燃料协议的战略决策所需的信息。通过与2016年7月至2017年6月收集的实际数据进行比较,对模拟结果进行了验证,得出了65%的建模燃料状态,与同期的历史燃料状态相匹配。

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