摘 要
随着全球能源需求的持续增长和环境问题的日益严峻，建筑能耗已成为可持续发展研究中的重要议题。本研究旨在通过建筑能耗模拟与优化策略的系统分析，探索降低建筑运行能耗的有效途径。研究基于动态能耗模拟技术，结合实际案例数据，构建了多维度能耗预测模型，并引入机器学习算法以提升模型精度。同时，研究提出了集成被动式设计与主动式技术的优化框架，用以指导建筑设计阶段的能耗控制。通过对典型建筑类型的模拟实验发现，优化后的设计方案可实现全年能耗降低约25%，其中供暖与制冷系统的能耗降幅尤为显著。此外，研究还开发了一种适用于复杂气候条件的自适应调控策略，能够根据外部环境变化实时调整建筑运行参数，从而进一步提高能效。本研究的主要创新点在于将传统建筑物理模拟方法与现代数据分析技术相结合，为建筑能耗优化提供了更为精准和灵活的解决方案。研究成果不仅为建筑设计提供了科学依据，也为相关政策制定者提供了参考框架，对推动建筑行业的低碳转型具有重要意义。
关键词：建筑能耗优化；动态模拟技术；机器学习
ABSTRACT
With the continuous growth in global energy demand and the increasing severity of environmental issues, building energy consumption has become a critical topic in sustainable development research. This study aims to explore effective approaches to reducing building operational energy consumption through systematic analysis of building energy simulation and optimization strategies. Based on dynamic energy simulation technology and real-world case data, a multi-dimensional energy prediction model was constructed, with machine learning algorithms introduced to enhance model accuracy. Furthermore, an optimization fr amework integrating passive design principles with active technologies was proposed to guide energy consumption control during the architectural design phase. Simulation experiments conducted on typical building types revealed that the optimized design could achieve an approximate 25% reduction in annual energy consumption, with particularly significant decreases in heating and cooling system energy usage. Additionally, an adaptive control strategy suitable for complex climatic conditions was developed, enabling real-time adjustment of building operational parameters in response to external environmental changes, thereby further improving energy efficiency. The primary innovation of this study lies in combining traditional building physics simulation methods with modern data analysis techniques, providing a more precise and flexible solution for building energy optimization. The research findings not only offer a scientific basis for architectural design but also provide a reference fr amework for policymakers, playing a significant role in promoting the low-carbon transformation of the construction industry.
Keywords: Building Energy Consumption Optimization; Dynamic Simulation Technology; Machine Learning
目 录
摘 要 I
ABSTRACT II
第1章 绪论 1
1.1 建筑能耗模拟的研究背景与意义 1
1.2 国内外建筑能耗优化策略研究现状 1
1.3 本文研究方法与技术路线 2
第2章 建筑能耗模拟的基础理论与方法 3
2.1 建筑能耗模拟的基本概念与原理 3
2.2 能耗模拟的关键影响因素分析 3
2.3 常用建筑能耗模拟软件及工具对比 4
2.4 数据采集与模型构建方法研究 4
第3章 建筑能耗优化策略的分析与设计 6
3.1 被动式节能策略的设计与应用 6
3.2 主动式节能技术的优化路径 6
3.3 可再生能源在建筑中的集成方案 7
3.4 不同气候区的能耗优化策略差异 7
第4章 案例分析与优化效果评估 9
4.1 实际建筑案例的能耗模拟过程 9
4.2 优化策略实施前后的对比分析 9
4.3 模拟结果的验证与误差分析 10
4.4 经济性与环境效益综合评价 10
结论 12
参考文献 13
致 谢 14
