在能源管理系统中集成真正的智能,以实现建筑物和区域的整体需求响应优化

A. Romero, P. De Agustín, T. Tsitsanis
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引用次数: 3

摘要

尽管已经进行了多次试验,证明需求侧灵活性是有效的,尽管技术推广进展迅速,但住宅和小型第三产业需求响应的商业应用发展缓慢。本文介绍了一个整体的需求响应优化框架,该框架能够在消费者端显著降低能源成本,同时将建筑物作为能源网络稳定的主要贡献者,以响应网络约束和条件。该解决方案的主干包括模块化互操作性和数据管理框架,该框架支持沿着需求响应价值链进行基于开放标准的通信。该解决方案在四个大型试点场地进行了验证,包括不同的建筑类型,不同的家庭,建筑和区域能源系统和设备,各种能源载体,跨越不同的气候条件,人口和文化特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integration of Real-Intelligence in Energy Management Systems to Enable Holistic Demand Response Optimization in Buildings and Districts
Although multiple trials have been conducted demonstrating that demand side flexibility works and even though technology roll-out progresses significantly fast, the business application of residential and small tertiary demand response has been slow to develop. This paper introduces a holistic demand response optimization framework that enables significant energy costs reduction at the consumer side, while introducing buildings as a major contributor to energy networks' stability in response to network constraints and conditions. The backbone of the solution consists in a modular interoperability and data management framework that enables open standards-based communication along the demand response value chain. The solution is validated in four large-scale pilot sites, incorporating diverse building types, heterogeneous home, building and district energy systems and devices, a variety of energy carriers and spanning diverse climatic conditions, demographic and cultural characteristics.
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