首页> 外文期刊>International journal for housing science and its applications >MONITORING SYSTEM FOR ENERGY MANAGEMENT OF BUILDINGS: DESIGN OF MODELS AND SENSOR NETWORKS FOR SUPPORTING CONTROL SYSTEMS
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MONITORING SYSTEM FOR ENERGY MANAGEMENT OF BUILDINGS: DESIGN OF MODELS AND SENSOR NETWORKS FOR SUPPORTING CONTROL SYSTEMS

机译:建筑物能源管理的监控系统:支持控制系统的模型和传感器网络的设计

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Optimal Control is a big opportunity for energy efficiency since it involves much smaller investments than those usually applied to technological building elements integration, by providing new ways for sustainable energy saving solutions. Nevertheless optimal management requires the development of a new class of predictive control logics, behaving consistently in changing environments. This class of control systems embed advanced predictive models, directly coupled with an environment monitoring sensor network, that are capable of interpreting sensed data (both indoor and environmental) and of forecasting future states. The design of the monitoring system is a critical passage as it is subjected to a number of operational and cost constraints, but also has to guarantee a reliable interpretation of the environmental behaviour of the building. This paper discusses this issue and presents the engineering framework and a methodology developed for supporting the design of monitoring networks integrated in optimal control system of large and complex environments. The application of the methodology to the case of a subway station is briefly presented too. This research is part of the European Research Project SEAM4US (Sustainable Energy Management for Underground Stations). The proposed solution is based on the definition and development of the set of models needed for both supporting the definition of the monitoring sensor network and being embedded in the final control system implementation. The development of this class of environmental models for large underground environments such as subway stations involves the elaboration and the integration of different simulation models. The simulation results constitute the knowledge that can support an efficient design of sensor networks even in large buildings.
机译:最优控制是提高能源效率的重要机会,因为它通过提供可持续节能解决方案的新方法,所涉及的投资比通常用于技术建筑构件集成的投资少得多。然而,最佳管理需要开发一类新的预测控制逻辑,并在不断变化的环境中保持一致。这类控制系统嵌入了直接与环境监控传感器网络耦合的高级预测模型,该模型能够解释感测到的数据(室内和环境数据)并预测未来状态。监控系统的设计是至关重要的通道,因为它受到许多运营和成本的约束,而且还必须确保对建筑物的环境行为进行可靠的解释。本文讨论了这个问题,并提出了工程框架和方法论,以支持集成在大型复杂环境的最优控制系统中的监控网络的设计。还简要介绍了该方法在地铁站中的应用。该研究是欧洲研究项目SEAM4US(地下车站的可持续能源管理)的一部分。所提出的解决方案基于模型集的定义和开发,该模型集既支持监视传感器网络的定义,又嵌入最终控制系统的实现中。针对大型地下环境(例如地铁站)的此类环境模型的开发涉及各种模拟模型的详细说明和集成。仿真结果构成了即使在大型建筑物中也可以支持有效设计传感器网络的知识。

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