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Change in design targets for building energy towards smart cities

机译:为智能城市建设能源的设计目标的变化

摘要

Designing cities from an overall energy optimization system point of view, demands changes in engineering procedures. Traditionally the design was driven independently between the involved domains and energy system components. By modelling the whole energy system in one, it is expected that there are exposed solutions where synergy effects arise that unleash extra saving potentials. Based on the insight gained by the simulations, IT intelligence and cross-component communication are to be invented to control the components and hereby to optimize the total system performance. One main strategy in doing so is, to move demands from high demand periods to low demand periods and hereby to avoid “peak” demands. This is called “flexibility” within the terminology of “smart grids”. In early solutions the search was for energy capacities within the domain of the electrical grid, hence car batteries where seen as relevant solutions for providing flexibility. However, it seems that the demand is too large for electricity-only solutions. A next search for flexibility is aimed at finding electricity-thermal energy solutions such as electrical heating and cooling, heat pumps and cooling technologies that can help to stabilize the el-grid. To acquire even higher potentials, thermal system components are studied these days upon their flexibility potentials, such as heating and cooling of whole building structures. Hereby the question arises, how much “flexibility” there is in relation to the thermal capacities of buildings that enable shifting energy demand for heating and cooling over periods of hours? While the availability of these capacities is a topic of current research, the consequences for building design are obvious. While we in the past could focus on energy optimization, we now have to design our buildings to its context, offering flexibility to the surrounding energy system. No final answers are given due to the fact that this is the edge of current research in this field, while a first concept draft is presented here.
机译:从整体能源优化系统的角度设计城市,要求工程程序的变化。传统上,设计是在相关领域和能源系统组件之间独立驱动的。通过将整个能源系统建模为一个模型,可以预料会出现一些出现协同效应的解决方案,从而释放出额外的节能潜力。基于仿真获得的见识,将发明IT智能和跨组件通信以控制组件,从而优化总体系统性能。这样做的一种主要策略是将需求从高需求期转移到低需求期,从而避免“高峰”需求。在“智能网格”术语中,这称为“灵活性”。在早期的解决方案中,搜索的是电网范围内的能源容量,因此,汽车电池被视为提供灵活性的相关解决方案。然而,似乎对于仅电力解决方案的需求太大。下一步寻求灵活性的目的是找到电热能源解决方案,例如电加热和冷却,热泵和冷却技术,这些技术可以帮助稳定电网。为了获得更高的潜力,近来研究了热力系统组件的柔性潜力,例如整个建筑结构的加热和冷却。由此产生的问题是,与建筑物的热容量有关的“柔韧性”有多少,可以使供暖和制冷的能量需求在几个小时内转移?虽然这些能力的可用性是当前研究的主题,但对建筑物设计的后果是显而易见的。虽然我们过去可以专注于能源优化,但现在我们必须根据其背景设计建筑物,为周围的能源系统提供灵活性。由于这是该领域当前研究的边缘,因此没有给出最终答案,而在此提出了第一个概念草案。

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