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Algorithmic planning of ventilation systems: Optimising for life-cycle costs and acoustic comfort
Journal of Building Engineering ( IF 6.7 ) Pub Date : 2024-12-18 , DOI: 10.1016/j.jobe.2024.111547 Julius H.P. Breuer, Peter F. Pelz
Journal of Building Engineering ( IF 6.7 ) Pub Date : 2024-12-18 , DOI: 10.1016/j.jobe.2024.111547 Julius H.P. Breuer, Peter F. Pelz
The European Union’s climate targets challenge the building sector to reduce energy use while ensuring comfort. Ventilation systems play an important role in achieving these goals. During system planning, the primary focus tends to lie on reducing life-cycle costs, including energy and investment expenses. Acoustic considerations which contribute significantly to occupant comfort, are either addressed as an afterthought or overlooked. This can result in suboptimal designs, where silencers are added indiscriminately without properly assessing their necessity. This paper introduces a novel method for optimising life-cycle costs through mathematical optimisation while adhering to predefined noise limits. We propose new model equations with reduce non-linearity better suited for integration into the optimisation framework. Further, they present a comprehensive approach to optimising ventilation systems under multiple load scenarios. Our method surpasses the traditional sequential approach by enabling simultaneous consideration of airflow and acoustics in a single, holistic optimisation step. A case study demonstrates the method’s practical application, showing that optimal solutions can be computed efficiently. The results reveal that, with appropriate fan selection, many silencers can be eliminated. Additionally, the method supports decision-making by transparently illustrating the trade-offs between life-cycle costs and noise limits. Notably, while optimal solutions from the sequential and holistic approaches align for most noise limits, the holistic method achieves a 12% reduction in costs under specific noise constraints. These results demonstrate the benefits of integrating airflow and acoustic design while underscoring the need for further application on more diverse building types and more complex ventilation system configurations.
中文翻译:
通风系统的算法规划:优化生命周期成本和声学舒适度
欧盟的气候目标要求建筑行业在确保舒适度的同时减少能源使用。通风系统在实现这些目标方面发挥着重要作用。在系统规划期间,主要关注点往往在于降低生命周期成本,包括能源和投资费用。声学因素对乘员舒适度有很大影响,要么是事后才考虑的,要么是被忽视的。这可能导致次优设计,即在没有正确评估其必要性的情况下随意添加消音器。本文介绍了一种通过数学优化优化优化生命周期成本的新方法,同时遵守预定义的噪声限制。我们提出了更适合集成到优化框架中的具有 reduce 非线性的新模型方程。此外,它们还提出了一种在多种负载情况下优化通风系统的综合方法。我们的方法超越了传统的顺序方法,可以在一个整体优化步骤中同时考虑气流和声学。案例研究证明了该方法的实际应用,表明可以有效地计算最优解。结果表明,通过适当的风扇选择,可以消除许多消音器。此外,该方法通过透明地说明生命周期成本和噪声限制之间的权衡来支持决策。值得注意的是,虽然顺序方法和整体方法的最佳解决方案与大多数噪声限制一致,但整体方法在特定噪声约束下将成本降低了 12%。 这些结果证明了整合气流和声学设计的好处,同时强调了在更多样化的建筑类型和更复杂的通风系统配置上进一步应用的需求。
更新日期:2024-12-18
中文翻译:
通风系统的算法规划:优化生命周期成本和声学舒适度
欧盟的气候目标要求建筑行业在确保舒适度的同时减少能源使用。通风系统在实现这些目标方面发挥着重要作用。在系统规划期间,主要关注点往往在于降低生命周期成本,包括能源和投资费用。声学因素对乘员舒适度有很大影响,要么是事后才考虑的,要么是被忽视的。这可能导致次优设计,即在没有正确评估其必要性的情况下随意添加消音器。本文介绍了一种通过数学优化优化优化生命周期成本的新方法,同时遵守预定义的噪声限制。我们提出了更适合集成到优化框架中的具有 reduce 非线性的新模型方程。此外,它们还提出了一种在多种负载情况下优化通风系统的综合方法。我们的方法超越了传统的顺序方法,可以在一个整体优化步骤中同时考虑气流和声学。案例研究证明了该方法的实际应用,表明可以有效地计算最优解。结果表明,通过适当的风扇选择,可以消除许多消音器。此外,该方法通过透明地说明生命周期成本和噪声限制之间的权衡来支持决策。值得注意的是,虽然顺序方法和整体方法的最佳解决方案与大多数噪声限制一致,但整体方法在特定噪声约束下将成本降低了 12%。 这些结果证明了整合气流和声学设计的好处,同时强调了在更多样化的建筑类型和更复杂的通风系统配置上进一步应用的需求。