[1]王 茜,石谦飞,史树一.基于节能导向的寒冷地区医院建筑形态多目标寻优技术研究[J].西安建筑科技大学学报(自然科学版),2024,56(04):604-612.[doi:10.15986/j.1006-7930.2024.04.015]
　WANG Xi,SHI Qianfei,SHI Shuyi.Research on multi-objective optimization techniques of hospital building forms in cold regions based on energy-saving orientation[J].J. Xi'an Univ. of Arch. & Tech.(Natural Science Edition),2024,56(04):604-612.[doi:10.15986/j.1006-7930.2024.04.015]
点击复制

基于节能导向的寒冷地区医院建筑形态多目标寻优技术研究()
分享到：

西安建筑科技大学学报（自然科学版）[ISSN:1006-7930/CN:61-1295/TU]

卷:
56
期数:
2024年04期
页码:
604-612
栏目:
出版日期:
2024-08-28

文章信息/Info

Title:
Research on multi-objective optimization techniques of hospital building forms in cold regions based on energy-saving orientation
文章编号:
1006-7930(2024)04-0604-09
作者:
王 茜1; 石谦飞1; 史树一2
(1.太原理工大学 建筑学院,山西 太原 030002; 2.山西省建筑设计研究院有限公司,山西 太原 030013)
Author(s):
WANG Xi1; SHI Qianfei1; SHI Shuyi2
(1.College of Architecture, Taiyuan University of Technology, Taiyuan 030024, China; 2.Shanxi Architectural Design and Research Institute, Taiyuan 030013, China)
关键词:
节能设计;  寒冷地区;  医院建筑;  软件模拟;  形态布局;  多目标寻优
Keywords:
energy efficient design;  cold regions;  hospital buildings;  software simulation;  morphological layout;  multi-objective optimization
分类号:
TU242
DOI:
10.15986/j.1006-7930.2024.04.015
文献标志码:
A
摘要:
建筑设计行业面临着能源需求不断增长的挑战,建筑模拟被广泛用于后期设计阶段.虽然早期阶段的设计已被证实会对建筑的整体性能产生重要影响,其在早期阶段设计决策对最终的建筑性能和成本有重大影响,但其应用仍然是有限的.本文提出了一种新的设计模拟方法,以节能导向为目标,遗传算法Octopus为工具,参数化模拟Grasshopper为平台,寒冷地区为背景,将参数化建模与多目标优化结合起来,以便实现快速迭代和权衡分析.综合考虑医院建筑功能的特殊性和多项限制条件,从总图布局、建筑单体和建筑局部三个方面分别进行变量控制,将节能纳入早期建筑设计的考虑要素中,并将医院建筑形态多目标寻优技术应用于实际工程项目中,有助于建立一套目标导向-自动寻优-设计决策的仿真模拟框架,该框架有利于主动、智能和基于经验的建筑仿真模拟,有助于在建筑设计早期做出决策.
Abstract:
The building design industry is challenged by growing energy demands, and building simulation is widely used in the later design stages. While early stage design has been shown to have a significant impact on the overall building performance, its application remains limited in the early stages where design decisions have a significant impact on the final building performance and cost. In this paper, a new design simulation method is proposed, with energy-saving as the goal, genetic algorithm Octopus as the tool, parameterized simulation Grasshopper as the platform, and cold regions as the background, to combine parameterized modeling with multi-objective optimization to achieve rapid iteration and trade-off analysis. Considering the particularity of hospital building function and a number of constraints, variable control is carried out from three aspects: general layout, building monomer and building part. Energy saving is incorporated into the consideration elements of early building design, and the multi-objective optimization technology of hospital building morphology is applied to actual engineering projects, which helps to establish a set of goal-oriented-automatic optimization-seeking-design decision-making simulation framework. This framework is conducive to active, intelligent and experience-based building simulation, which is helpful to make decisions in the early stage of building design.

参考文献/References:

[1]朱永松, 罗蒙, 甘宁, 等. 大型综合性医院节能管理的分析与对策[J]. 中国医院, 2011, 15(2): 73-75.
ZHU Yongsong, LUO Meng, GAN Ning, et al. Analysis and countermeasures of energy saving management in large-scale general hospitals[J]. China Hospital, 2011, 15(2): 73-75.
[2]AISH R, WOODBURY R. Multi-level interaction in parametric design[M]. Heidelberg: Springer Berlin Heidelberg, 2005: 151-162.
[3]ROLVINK A, VAN DE STRAAT R,COENDERS J. Parametric structural design and beyond[J]. Inter. Arch. Comp. 2010,8(3):319-336.
[4]AUGENBROE G.Trends in building simulation[J].Building and Environment,2002,37(8):891-902.
[5]GERBER D J, LIN S. Synthesizing design performance: an evolutionary approach to multidisciplinary design search[C]//32nd annual conference of the association for computer aided design in architecture, San Francisco, CA: 2021.
[6]MAGNIER L, HAGHIGHAT F. Multiobjective optimization of building design using TRNSYS simulations, genetic algorithm, and artificial neural network[J]. Building and Environment, 2010, 45(3): 739-746.
[7]TUHUS DUBROW D, KRARTI M. Genetic-algorithm based approach to optimize building envelope design for residential buildings[J]. Building and Environment, 2010, 45(7): 1574-1581.
[8]NEGENDAHL K, NIELSEN T R. Building energy optimization in the early design stages: A simplified method[J]. Energy and Buildings, 2015, 105: 88-99.
[9]刘启波, 杨雯婷. 基于气候特征的居住区室外热舒适多目标优化布局研究——以西安地区为例[J]. 西安建筑科技大学学报(自然科学版), 2022, 54(1): 54-60.
LIU Qibo, YANG Wenting. Research on multi-objective optimal layout of outdoor thermal comfort in residential areas based on climatic characteristics:Taking Xi'an area as an example[J]. J. Xi'an Univ. of Arch. & Tech.(Natural Science Edition), 2022, 54(1): 54-60.
[10]袁磊, 李冰瑶. 住区布局多目标自动寻优的模拟方法[J]. 深圳大学学报(理工版), 2018, 35(1): 78-84.
YUAN Lei, LI Bingyao. A simulation method for multi-objective automatic optimisation of settlement layout[J]. Journal of Shenzhen University(Science and Technology Edition), 2018, 35(1): 78-84.
[11]毕晓健, 刘丛红. 基于Ladybug+Honeybee的参数化节能设计研究——以寒冷地区办公综合体为例[J]. 建筑学报, 2018(2): 44-49.
BI Xiaojian, LIU Conghong. Research on parametric energy-saving design based on Ladybug+Honeybee:An example of office complex in cold region[J]. Journal of Architecture, 2018(2): 44-49.
[12]林波荣, 李紫微. 面向设计初期的建筑节能优化方法[J]. 科学通报, 2016, 61(1): 113-121.
LIN Borong, LI Ziwei. A building energy efficiency optimisation method for the early design stage[J]. Science Bulletin, 2016, 61(1): 113-121.
[13]张竞予, 刘念雄, 王珊珊, 等. 节能性能导向住宅建筑智能生成设计方法与工具平台[J]. 建筑学报, 2022(2): 22-27.
ZHANG Jingyu, LIU Nianxiong, WANG Shanshan, et al. Intelligent generative design methodology and tool platform for energy-efficient performance-oriented residential buildings[J]. Journal of Architecture, 2022(2): 22-27.
[14]孙澄, 韩昀松. 绿色性能导向下的建筑数字化节能设计理论研究[J]. 建筑学报, 2016(11): 89-93.
SUN Cheng, HAN Yunsong. Theoretical research on digital energy-saving design of buildings under green performance orientation[J]. Journal of Architecture, 2016(11): 89-93.
[15]付昱曦, 李红莲, 王赏玉, 等. 建筑节能分析用典型年数据的获取方法[J]. 西安建筑科技大学学报(自然科学版), 2021, 53(1): 147-154.
FU Yuxi, LI Honglian, WANG Shangyu, et al. Acquisition method of typical annual data for building energy efficiency analysis[J]. J. Xi'an Univ. of Arch. & Tech.(Natural Science Edition), 2021, 53(1): 147-154.
[16]刘加平, 何知衡, 杨柳. 寒冷气候类型与建筑热工设计对策[J]. 西安建筑科技大学学报(自然科学版), 2020, 52(3): 309-314.
LIU Jiaping, HE Zhiheng, YANG Liu. Cold climate types and countermeasures for thermal design of buildings[J]. J. Xi'an Univ. of Arch. & Tech.(Natural Science Edition), 2020, 52(3): 309-314.
[17]中国中元国际工程有限公司, 哈尔滨工业大学建筑学院. 建筑设计资料集(第6分册):体育·医疗·福利[M]. 第三版.北京:中国建筑工业出版社, 2019: 142-151.
China Zhongyuan International Engineering Co., Ltd, School of Architecture, Harbin Institute of Technology. Architectural design sourcebook subchapter 6: Sports-Medical-Welfare[M]. 3rd ed. Beijing:China Building Industry Press, 2019: 142-151.
[18]中华人民共和国住房和城乡建设部. 公共建筑节能设计标准:GB 50189—2015[M]. 北京:中国建筑工业出版社, 2015.
Ministry of Housing and Urban-Rural Development of the People's Republic of China. Energy saving design standard for public buildings:GB 50189—2015[M]. Beijing: China Architecture & Building Press, 2015.
[19]郝晓龙, 王咏薇, 胡凝, 等. 太阳能光伏屋顶对城市热环境及能源供需影响的模拟[J]. 气象学报, 2020, 78(2): 301-316.
HAO Xiaolong, WANG Yongwei, HU Ning, et al. Modelling the impact of solar photovoltaic roofs on urban thermal environment and energy supply and demand[J]. Journal of Meteorology, 2020, 78(2): 301-316.
[20]都丽婷, 马敬东, 杨丽, 等. 以病人为中心研究的演进路径、热点与前沿分析[J]. 中国卫生事业管理, 2016, 33(12): 886-889.
DU Liting, MA Jingdong, YANG Li, et al. Evolutionary path, hotspots and frontier analysis of patient-centred research[J]. China Health Care Management, 2016, 33(12): 886-889.
[21]郭佳奕, 孙一民. 基于Ladybug-Honeybee的建筑节能采光设计及评估——以广州科技图书馆项目为例[C]//2021全国建筑院系建筑数字技术教学与研究学术研讨会.武汉:华中科技大学出版社,2021: 416-427.
GUO Jiayi, SUN Yimin. Design and evaluation of energy-saving lighting in buildings based on Ladybug-Honeybee:A case study of Guangzhou science and technology library project[C]//Proceeding of the 2021 National Symposium on Teaching & Research of Digital Architecture Technology in Architecture Faculties. Wuhan:Huazhong University of Science & Technology Press, 2021: 416-427.
[22]耿耿, 耿静, 尹红梅, 等. 严寒地区办公建筑中庭空间参数化节能设计[J]. 西安建筑科技大学学报(自然科学版), 2020, 52(6): 895-904.
GENG Geng, GENG Jing, YIN Hongmei, et al. Parametric energy-saving design of atrium space in office buildings in cold regions[J]. J. Xi'an Univ. of Arch. & Tech.(Natural Science Edition), 2020, 52(6): 895-904.

备注/Memo

备注/Memo:
收稿日期:2022-10-30修回日期:2024-06-04
第一作者:王 茜(1992—),女,硕士生,主要研究方向为建筑设计.E-mail:244101067@qq.com
通信作者:石谦飞(1965—),男,硕士,教授,主要研究方向为建筑设计.E-mail:shiqianfei@163.com
更新日期/Last Update: 2024-08-28