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Exploring the Optimal Thermal Mass to Investigate the Potential of a Novel Low-Energy House Concept

机译:探索最佳热质量以研究新型低能耗房屋概念的潜力

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摘要

In conventional buildings thermal mass is a permanent building characteristic depending on the building design. However, none of the permanent thermal mass concepts are optimal in all operational conditions. We propose a concept that combines the benefits of buildings with low and high thermal mass by applying hybrid adaptable thermal storage (HATS) systems and materials to a lightweight building. The HATS concept increases building performance and the robustness to changing user behavior, seasonal variations and future climate changes. In this paper the potential of the novel HATS concept is investigated by determining the sensitivity of the optimal thermal mass of a building to the change of seasons and to changing occupancy patterns. The optimal thermal mass is defined as the quantity of the thermal mass that provides the best building performance (based on a trade-off between the building performance indicators). Building performance simulation and multi-objective optimization techniques are used to define the optimal thermal mass of a case study in the Netherlands. Simulation results show that the optimal quantity of the thermal mass is sensitive to the change of seasons and occupancy patterns. This implies that the building performance will benefit from implementing HATS. Furthermore, the results show that using HATS reduces the heating energy demand of the case study with 26% and reduces weighted over- and underheating hours with 85%.
机译:在常规建筑物中,取决于建筑物设计,热质是永久性建筑物特征。但是,没有一个永久性的热质量概念在所有操作条件下都不是最佳的。我们提出了一个概念,通过将混合适应性蓄热(HATS)系统和材料应用于轻型建筑,将低热量和高热量的建筑物的优点结合在一起。 HATS概念提高了建筑性能,并增强了用户行为,季节变化和未来气候变化的稳定性。在本文中,通过确定建筑物的最佳热质量对季节变化和居住模式变化的敏感性,来研究新颖的HATS概念的潜力。最佳热质量定义为提供最佳建筑性能的热质量(基于建筑性能指标之间的权衡)。建筑性能模拟和多目标优化技术用于定义荷兰案例研究的最佳热质量。仿真结果表明,最佳的热质量对季节和居住模式的变化敏感。这意味着实施HATS将使建筑性能受益。此外,结果表明,使用HATS可以将案例研究的热能需求降低26%,并将加权的过热和过热时间减少85%。

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