NREL RSF Energy Model 2011

Modern buildings are complex energy systems that must be controlled for energy efficiency. The Research Support Facility (RSF) at the National Renewable Energy Laboratory (NREL) has hundreds of controllers -- computers that communicate with the building's various control systems -- to control the building based on tens of thousands of variables and sensor points. These control strategies were designed for the RSF's systems to efficiently support research activities. Many events that affect energy use cannot be reliably predicted, but certain decisions (such as control strategies) must be made ahead of time. NREL researchers modeled the RSF systems to predict how they might perform. They then monitor these systems to understand how they are actually performing and reacting to the dynamic conditions of weather, occupancy, and maintenance. This submission includes the Energy Model from the RSF Systems Model. Comparing actual performance (metered) with expected performance (modeled) is key to understand corrective actions to ensure performance as originally intended. The Energy Model in this submission was made to model energy usage in the RSF and was compared to actual metered data to verify the model. Measured data and Weather data related to the RSF Systems Model can be found in the "Related Datasets" section of this submission.

现代楼宇属于复杂的能源系统，需通过调控手段实现节能增效。美国国家可再生能源实验室（National Renewable Energy Laboratory, NREL）旗下的研究支持设施（Research Support Facility, RSF）搭载数百台控制器——即与楼宇各类控制系统通信的专用计算机——可基于数万个变量与传感器点位实现楼宇全局调控。此类控制策略专为该设施的系统定制，以高效支撑科研活动的正常开展。诸多影响能源使用的事件难以实现可靠预测，但部分决策（如控制策略）必须提前制定。NREL研究人员对该设施的系统开展建模工作，以预测其潜在运行表现；随后对这些系统进行持续监测，以掌握其实际运行状态，以及对天气、人员驻留与运维动态工况的响应机制。本次提交的数据集包含研究支持设施系统模型中的能源模型。将实际运行性能（经计量采集）与预期运行性能（经模型推演）进行对比，是明确修正措施、确保系统达成初始设计性能目标的核心环节。本次提交数据集内的能源模型专为研究支持设施的能源使用建模开发，并与实际计量数据比对以完成模型验证。与研究支持设施系统模型相关的实测数据与气象数据，可在本次提交数据集的"Related Datasets"板块中获取。