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An LCM Framework to Couple Spatially Distributed Energy Simulation and Occupancy Models for Optimizing Building Energy Consumption

机译:LCM框架结合空间分布的能源模拟和占用模型以优化建筑能耗

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The building construction sector continues to be a major consumer of energy in the United States. Energy consumption in a building typically spans across various life-cycle phases such as the material production and constriction phase, use and maintenance phase, and the end-of-life phase, with the use and maintenance phase constituting around 80% of total energy requirements. Since people spend most of their time indoors, the energy use behavior of building occupants is a critical factor that affects the total energy consumption. In this paper, an agent based model which simulates the effects of this dynamic occupant behavior is coupled with an energy use simulation model through a distributed computing environment based on the principles defined in the lightweight communications and marshalling (LCM), a common tool employed in robotics. The framework addresses two main objectives: (1) achieve multimodal synchronization and data exchange of distinct and spatially distributed simulation models and (2) visualize the effect of dynamic occupant behavior on the life cycle energy consumption in a building. This framework will achieve data synchronization and transfer of information between different software modules, which run simultaneously in a distributed fashion thereby testing the effects of various occupancy related energy interventions on life-cycle energy consumption.
机译:在美国,建筑业仍然是主要的能源消费国。建筑物中的能源消耗通常跨越各个生命周期阶段,例如材料生产和压缩阶段,使用和维护阶段以及寿命终止阶段,其中使用和维护阶段约占总能源需求的80% 。由于人们将大部分时间都花在室内,因此建筑居民的能源使用行为是影响总能源消耗的关键因素。在本文中,基于轻量级通信和编组(LCM)中定义的原理的分布式计算环境通过基于代理的模型来模拟这种动态乘员行为的影响,并将其与能源使用模拟模型相结合,该模型是LCM中常用的工具。机器人技术。该框架解决了两个主要目标:(1)实现不同模式和空间分布的仿真模型的多模式同步和数据交换;(2)可视化动态乘员行为对建筑物生命周期能耗的影响。该框架将实现数据同步和不同软件模块之间的信息传递,这些软件模块以分布式方式同时运行,从而测试各种与居住相关的能源干预措施对生命周期能耗的影响。

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