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首页> 外文会议>Annual IEEE International Systems Conference >An agent-based model for the evidence-basec long term planning of power and water critical infrastructures
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An agent-based model for the evidence-basec long term planning of power and water critical infrastructures

机译：电力和水关键基础设施的基于证据的长期计划的基于代理的模型

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The comfort, mobility, and economic well-being of the U.S. population depends on reliable and affordable electric power services. Sustainable water supplies are required for operating conventional power plants and long-term planning across these sectors is not well coordinated. It is increasingly important to analyze the security, sustainability, and resilience of mid- and long-term electric utility and water system capacity expansion plans in an integrated fashion with respect to potential challenges posed by climate change and other risks to this critical infrastructure. We develop an agent-based model (ABM) of a typical regional power system that incorporates the features of specific plant types and their cooling systems that are dependent on abundant water supplies at appropriate temperatures and quantities to support full power operation. The effects of potential water restrictions and constraints to power plant cooling systems (cooling towers, cooling ponds, and once-through condensers) are analyzed to estimate the potential impact of climate change or water temperature restrictions on a particular long-term expansion plan.
机译：美国人口的舒适度，机动性和经济状况取决于可靠且负担得起的电力服务。常规电厂的运行需要可持续的供水，而且这些部门的长期规划还没有得到很好的协调。结合气候变化带来的潜在挑战以及对该关键基础设施的其他风险，以综合的方式分析中长期电力公用事业和水系统容量扩展计划的安全性，可持续性和弹性，这一点变得越来越重要。我们开发了典型区域电力系统的基于代理的模型（ABM），该模型结合了特定工厂类型及其冷却系统的功能，这些功能依赖于适当温度和数量下充足的供水来支持全功率运行。分析了潜在的水限制和限制对电厂冷却系统（冷却塔，冷却池和直流冷凝器）的影响，以估算气候变化或水温限制对特定长期扩展计划的潜在影响。

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