The paper is focused on the topic of smoke control in a confined, underground cellar area of a historical building, that is undergoing conversion to a restaurant. Similar venues were host to some of the most devastating fires in history. We have investigated the performance of a novel solution, “smart smoke control (SSC)”, and compared its performance with “traditional” smoke venting solution. The investigation was based on CFD simulations performed in a commercial code ANSYS Fluent, modified with user-defined functions to include for the steering algorithm of the SSC. The simulation results for a traditional system were unsatisfactory, while the SSC removing substantially more smoke (approx. 50% more) has provided tenable conditions over the whole course of the analysis. The results indicate that smoke control solutions based on the adaptive performance of the smoke exhaust fan, based on the conditions within the protected premise, can be favourable for compartments with the limited size of the smoke reservoir or limited space available for ducts. These findings are also true for existing buildings, where it may be advantageous to replace the existing smoke control solution with SSC. Future investigations should include full-scale experiments, and improvements in the simple algorithms used so far.

中文翻译：

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智能烟雾控制作为历史建筑改建酒窖排烟的有效解决方案

该论文的重点是在一座历史建筑的密闭地下地窖区域进行烟雾控制，该建筑正在改建为餐厅。类似的场馆曾发生过一些历史上最具破坏性的火灾。我们研究了一种新型解决方案“智能烟雾控制 (SSC)”的性能，并将其性能与“传统”排烟解决方案进行了比较。该调查基于在商业代码 ANSYS Fluent 中执行的 CFD 模拟，并使用用户定义的函数进行修改，以包含 SSC 的转向算法。传统系统的模拟结果并不令人满意，而 SSC 去除了更多的烟雾（约 50% 以上）在整个分析过程中提供了可靠的条件。结果表明，基于排烟风机自适应性能的烟雾控制解决方案，基于受保护场所内的条件，适用于储烟罐尺寸有限或管道可用空间有限的隔间。这些发现也适用于现有建筑，用 SSC 替换现有的烟雾控制解决方案可能是有利的。未来的研究应该包括全面的实验，以及迄今为止使用的简单算法的改进。用 SSC 替换现有的烟雾控制解决方案可能是有利的。未来的研究应该包括全面的实验，以及迄今为止使用的简单算法的改进。用 SSC 替换现有的烟雾控制解决方案可能是有利的。未来的研究应该包括全面的实验，以及迄今为止使用的简单算法的改进。