体育设施的能源效率问题:确定日常草地加热操作的节省

Mischa Schmidt, A. Venturi, A. Schülke, Roman Kurpatov
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引用次数: 9

摘要

近年来,对现代体育场馆环境影响的思考引起了人们的广泛关注。例如,专业足球队的大型体育场的特点是安装了草地加热系统,为关键的商业资产服务,同时也是年热能消耗最高的子系统。这种规模的公共建筑意味着特定的运行模式,并结合了高水平的安全性和舒适性要求。在本文中,我们首次研究了专业足球场草坪加热系统在日常运行中的节能潜力。实际上,必须遵守竞技场有限的加热能力,这导致目前的操作经常导致其他不太重要的设施单位的性能不佳。我们对动态操作和上下文数据的分析是长期能源效率措施的基础。我们研究了与当前控制方案和体育场环境相关的相关参数。具体地说,作为临界观测值的草根温度与天气条件和由此产生的热行为有关。我们提供了一种改进的控制策略,并量化了与上一个采暖季节相比,该策略的预期节省高达34%。对于未来,记录的热特性将能够制定更先进的控制策略,以积极影响草加热操作。这将通过将操作环境与未来热行为预测相结合,进一步改善所有热设施子系统之间的供暖需求平衡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The energy efficiency problematics in sports facilities: identifying savings in daily grass heating operation
Recently, reflections on modern sports stadiums' environmental impacts have gained substantial attention. Large-scale stadiums of e.g. professional soccer teams are characterized by having installations of grass heating systems serving the crucial commercial asset and at the same being the sub-system with the highest yearly thermal energy consumption. Public buildings of this size imply situation-specific operational modes combined with high levels of safety and comfort requirements. In this paper we provide a first study on the energy savings potential of a professional soccer stadium's grass heating system during day-to-day operation. In practice, limited heating capacities of the arena have to be adhered to, which causes the current operation to often result in under-performance of other, less critical facility units. Our analysis of dynamic operational and contextual data serves as foundation for long-term energy efficiency measures. We study relevant parameters related to the current control schemes and the stadium's context. Concretely, the grass root temperature as critical observable is studied with respect to weather conditions and the resulting thermal behavior. We provide an improved control strategy and quantify the anticipated savings of this strategy to be as high as 34% compared to the last heating season. For the future, the documented thermal characteristics will enable the formulation of more advanced control strategies to positively influence the grass heating operation. This will lead to further improvements in balancing the heating demand across all thermal facility sub-systems by integrating operational context with forecasts of the thermal behavior in the future.
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