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冰上体育建筑具有体量大、能耗高、热湿环境复杂等特征，其能耗控制与室内环境品质长期面临协同优化难题。本研究以中型双冰平行式场馆为研究对象，构建了一种面向能耗与热湿环境的性能仿真、预测与优化设计方法，基于参数化建模与物理仿真生成多性能样本，引入机器学习方法建立能耗、冰场湿度与观众区热舒适的代理预测模型，并通过多目标优化获取场馆体形参数的帕累托解集，分析关键参数对多性能指标的影响规律，识别优选变量区间与代表性方案选型。本研究为冰上体育建筑前期方案阶段的智能化与高性能设计提供了可量化的技术支撑，对高能耗体育建筑的综合品质提升具有一定参考价值。
Abstract：Ice sports buildings are characterized by large scale， high energy consumption， and complex thermal-humidity environments， presenting long-standing challenges in synergistically optimizing energy control and indoor environmental quality. Focusing on a medium-sized dual-rink parallel arena， this study establishes a performance simulation， prediction， and optimization methodology targeting both energy consumption and thermal-humidity conditions. Utilizing parametric modeling and physical simulation， it generates multi-performance samples. Machine learning techniques are employed to develop surrogate prediction models for energy consumption， rink humidity， and spectator thermal comfort. Through multi-objective optimization， a Pareto solution set for the arena's form parameters is obtained analysing the influence patterns of key parameters on multi-performance indicators to identify optimal variable ranges and representative design alternatives. This study provides quantifiable technical support for intelligent and high-performance design during the preliminary scheme phase of ice sports buildings， offering valuable references for enhancing the comprehensive quality of high-energy-consumption sports facilities.
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基本信息:
DOI：10.16414/j.wa.20260721.001
中图分类号:TU245
引用信息:
[1]杨雨青,梅洪元,费腾.基于能耗与热湿环境优化的中型双冰式冰上体育建筑设计研究[J].世界建筑().DOI:10.16414/j.wa.20260721.001.
基金信息:
国家自然科学基金面上项目（52278015）：基于数字孪生的寒地冰上体育场馆低碳设计评价方法与关键技术研究
2026-07-21
2026-07-21
2026-07-21