2019, 11(3): 121-127. doi: 10.16670/j.cnki.cn11-5823/tu.2019.03.19
基于Dynamo的绿色建筑方案设计优化
南京林业大学 土木工程学院,南京 210037 |
Optimization of Scheme Design for Green Building Based on Dynamo
College of Civil Engineering, Nanjing Forestry University, Nanjing 210037, China |
引用本文: 王军, 李希胜, 刘勤文. 基于Dynamo的绿色建筑方案设计优化[J]. 土木建筑工程信息技术, 2019, 11(3): 121-127. doi: 10.16670/j.cnki.cn11-5823/tu.2019.03.19
Citation: Wang Jun, Li Xisheng, Liu Qinwen. Optimization of Scheme Design for Green Building Based on Dynamo[J]. Journal of Information Technologyin Civil Engineering and Architecture, 2019, 11(3): 121-127. doi: 10.16670/j.cnki.cn11-5823/tu.2019.03.19
摘要:方案设计是建筑设计的初始阶段,对实现项目综合预期目标有关键影响。绿色建筑方案设计更注重环境性能,需考虑的设计因素众多,属于典型的多目标、多属性决策工作。基于参数化设计理论,在分析、提取方案设计阶段影响环境性能关键设计因素的基础上,建立以能耗和自然采光为目标函数的设计优化模型,通过Dynamo将NSGA-Ⅱ算法和GBS模拟整合,并以此求解模型,选取最优设计方案,最后通过实例进行验证。
Abstract: The scheme design is the very initial stage of the architectural design, which acts as a key role in achieving the expected comprehensive objectives of the project. For the green buildings, the scheme design will focus more on the environmental performance, considering many design factors. So, the task is a typical multi-objective and multi-attribute decision-making job. Based on the parametric design theory, this paper analyzes and extracts the key design factors affecting environmental performance during the scheme design phase, and then establishes a design optimization model with energy consumption and natural daylight as the objective functions. Through integrating the NSGA-Ⅱ algorithm and GBS simulation by using Dynamo, the model can be solved, and the optimal design scheme will be selected. Lastly, a case study is conducted to verify the validity.
[1] | |
[2] |
李腾. BIM在绿色建筑评估体系的室内环境应用中的可行性研究[J].土木建筑工程信息技术, 2010, 2(03):20-23.doi: 10.3969/j.issn.1674-7461.2010.03.004 |
[3] | |
[4] |
李诗若, 薛一冰.基于PHOENICS的场地风环境优化——以某小学设计为例[J].建筑节能, 2017(10):56-59. |
[5] | |
[6] |
刘立, 刘丛红, 吴迪, 等.天津办公建筑空间设计因素节能分析与优化[J].哈尔滨工业大学学报, 2018(04):181-187. |
[7] |
Yu W, Li B, Jia H, et al. Application of multi-objective genetic algorithm to optimize energy efficiency and thermal comfort in building design[J]. Energy and Buildings, 2015, 88:135-143.doi: 10.1016/j.enbuild.2014.11.063 |
[8] |
Wang W, Zmeureanu R, Rivard H. Applying multi-objective genetic algorithms in green building design optimization[J]. Building and Environment, 2004, 40(11):1512-1525. |
[9] |
陈沉, 张业星, 陈健, 等.参数化技术在城市建筑群设计中的应用[J].水力发电, 2014(8):56-59.doi: 10.3969/j.issn.0559-9342.2014.08.014 |
[10] |
黄伟华, 刘春雷, 闫文凯. BIM技术在建筑设计方案前期深入探索应用[J].土木建筑工程信息技术, 2013, 5(04):76-85.doi: 10.3969/j.issn.1674-7461.2013.04.016 |
[11] |
罗嘉祥, 宋姗, 田宏钧. 《Autodesk Revit炼金术——Dynamo基础实战教程》[M].上海:同济大学出版社, 2017. |
[12] |
Khaja M, Seo J D, McArthur J J. Optimizing BIM Metadata Manipulation Using Parametric Tools[J]. Procedia Engineering, 2016, 145:259-266.doi: 10.1016/j.proeng.2016.04.072 |
[13] |
吴生海, 刘陕南, 刘永哓, 等.基于Dynamo可视化编程建模的BIM技术应用与分析[J].工业建筑, 2018(02):35-38. |
[14] |
郑金华.多目标进化算法及其应用[M].北京:科学出版社, 2007. |
[15] |
潘寒, 黄熙萍, 靳华中, 等.基于遗传算法的PC构件工厂排产研究[J].土木建筑工程信息技术, 2018, 10(6): 113-118. |
[16] |
林波荣, 李紫微.气候适应型绿色公共建筑环境性能优化设计策略研究[J].南方建筑, 2013(03):17-21.doi: 10.3969/j.issn.1000-0232.2013.03.017 |
[17] |
陈小龙, 王立光.基于建筑设计参数分析模型的工程造价估算[J].同济大学学报(自然科学版), 2009(08):1115-1121. |
[18] |
谢斌, 胡望社, 姚建政.基于Ecotect的建筑遮阳采光节能设计优化策略[J].建筑节能, 2017(12):44-50.doi: 10.3969/j.issn.1006-9135.2017.12.026 |
[19] | |
[20] |
中华人民共和国住房和城乡建设部. GB50033-2013 《建筑采光设计标准》[S].北京: 中国建筑工业出版社, 2012. |
[21] |
中华人民共和国住房和城乡建设部. GB/T50378-2014 《绿色建筑评价标准》[S].北京: 中国建筑工业出版社, 2014. |
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