基于近零能耗目标的寒冷地区办公建筑设计参数综合寻优和实证

房涛; 刘锐捷; 王衍争; 邹苒

doi:10.13204/j.gyjzG22120509

基于近零能耗目标的寒冷地区办公建筑设计参数综合寻优和实证

doi: 10.13204/j.gyjzG22120509

1. 山东建筑大学建筑城规学院, 济南 250101;
2. 山东省建筑科学研究院有限公司, 济南 250031;
3. 山东建筑大学, 济南 250101

基金项目:

国家自然科学基金面上项目（52278024）。

详细信息

作者简介:
房涛,男,1982年出生,博士,副教授。电子信箱:arcft0123@163.com

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出版历程
- 收稿日期: 2022-12-05

Comprehensive Optimization and Empirical Verification of Office Building Design Parameters in Cold Regions Based on Nearly Zero Energy Consumption Targets

1. School of Architecture and Urban Planning, Shandong Jianzhu University, Jinan 250101, China;
2. Shandong Academy of Building Sciences Co., Ltd., Jinan 250031, China;
3. Shandong Jianzhu University, Jinan 250101, China

摘要

摘要: 目前近零能耗建筑在我国成规模化推广的趋势，从国家到地方的设计与评价标准在逐步完善，且多数标准以限定节能设计参数值来实现近零能耗目标。然而，办公建筑用能需求多样、能耗构成复杂，须通过节能设计参数的综合寻优才能实现能耗最小化的设计目标。基于此，首先通过调研确立了寒冷地区办公建筑的能耗构成和建筑信息基准模型，并通过Grasshopper建立了集模型构建、能耗模拟与自动寻优的参数化一体平台；其次，借助该平台对不同围护结构热工设计参数的办公建筑进行对比研究，确定了照明能耗的重要性及总能耗受多参数交互作用的影响规律；在此基础上，借助遗传算法进行以能耗为导向的设计参数寻优，得到最优结果；进而，以山东建筑大学综合实验楼为实例，通过实测数据与仿真数据对比验证了研究结果的可靠性与准确性；最后，通过数据统计软件对设计参数与能耗结果进行了相关性分析，在MATLAB中凭借数据集训练得到机器学习模型，验证了模型的准确性。
- 寒冷地区 /
- 近零能耗 /
- 办公建筑 /
- 设计参数 /
- 综合寻优
Abstract: At present, the nearly zero energy consumption building is showing the trend of scale promotion in China, and the design and evaluation standards from the national to the local have been gradually improving, and most of the standards limit the value of energy-saving design parameters to achieve the goal of near-zero energy consumption. However, office buildings have diverse demands for energy consumption and complex structure of energy consumption, so it is necessary to comprehensively optimize the energy-saving design parameters to achieve the design goal of energy consumption minimization. Based on this, the paper firstly constructed the base model of energy consumption composition and building information for the office buildings in cold regions through investigation, and constructed a parameterized integrated platform with model construction, energy consumption simulation and automatic optimization through grasshopper; secondly, a comparative study of office buildings with different thermal design parameters of building envelopes was conducted, and the importance of lighting energy consumption and the influence law of total energy consumption by multi-parameter interaction with this platform was determined; then, on this basis, the paper optimized the energy consumption-oriented design parameters by genetic algorithm, and the optimal results were obtained; thirdly, with the Comprehensive Lab Building of Shandong Jianzhu University as an example, the paper verified the reliability and accuracy of the research results by comparing the measured data with the simulation data; finally, a correlation analysis of design parameters and energy consumption results was conducted by data statistics software, and a machine learning model was established by training data sets in MATLAB, thus verifying the accuracy of the model.
- cold region /
- nearly zero energy consumption /
- office building /
- design parameter /
- comprehensive optimization

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