能源驱动的城市智能生成——设计早期的区域能耗优化设计
摘要：区域能耗评估涉及建筑形态、周边环境、功能使用等多因素耦合作用,建模难度大,时间成本高,难以适应设计优化的快速迭代过程。研究提出一种能源驱动的城市智能建模方法,在设计早期提供以最小化区域能耗和最大化光伏潜力为优化目标的设计生成工具。
关键词：能源驱动城市智能生成能耗优化设计早期机器学习
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参考文献[1] Ahmad T,Zhang D,Huang C.Methodological framework for short-ana medium-term energy,solar and wind power foreca sting with stochastic-based machine learning approach to monetary and energy policy applications[J].Energy,2021,231.
[2] Feng K,Lu W,Wang Y.Assessing environmental performance in early building design stage:An integrated parametric design and machine learning method[J].Sustainable Cities and Society,2019,50.
[3] 袁烽,林钰琼.基于物理风洞与神经网络算法的建筑群体形态生成设计方法研究[J].西部人居环境学刊,2019,34(1):22-30.
[4] Hong T,Kim J,Lee M.A multi-objective optimization model for determining the building design and occupant behaviors based on energy,economic,and environmental performance[J].Energy,2019,174:823-834,
[5] Lu W,Fung A,Peng Y,et al.Cost-benefit analysis of Building Information Modeling implementation in building projects through demystification of time-effort distribution curves[J].Building and Environment,2014,82:317-327.
[6] Negendahl K.Building performance simulation in the ea rly design stage:An introduction to integrated dynamic models[J].Automation in Construction,2015,54:39-53.
[7] Petersen S,Bryder J,Levinsen K,et al.Method for integrating simulation-based support in the building design process[C].Design in Civil and Environmental Engineering,Proceedings of the 3rd International Workshop,Technical University of DenmarkCOWI Fonden,2014(8):83-89.
[8] Purup P B,Petersen S.Research framework for development of building performance simulation tools for early design stages[J].Automation in Construction,2020,109.
[9] Kim H,Stumpf A,Kim W.Analysis of an energy efficient building design through data mining approach[J].Automation in Con struction,2011,20(1):37-43.
[10] 杨崴,于汉泽.生命周期环境影响与成本目标下的建筑设计优化方法[J].建筑学报,2021(2):35-41.
[11] Lin B,Chen H,Yu Q,et al.MOOSASA systematic solution for multiple objective building performance optimization in the early design stage[J].Building and Environment,2021.
[12] Tian Z,Zhang X,Jin X,et al.Towards adoption of building energy simulation and optimization for passive building design:A survey and a review[J].Energy and Buildings,2018,158:1306-1316.
[13] Lu S,Wang C,Fan Y,et al.Robustness of building energy optimization with uncertainties using deterministic and stochastic methods:Analysis of two forms[J].Building and Environment,2021.
[14] Kiss B,Szalay Z.Modular approach to multi-objective environmental optimization of buildings[J].Automation in Construction,2020,111.
[15] 朱明亚,潘毅群,吕岩,等.能耗预测模型在建筑能效优化中的应用研究[J].建筑科学,2020,36(10):35-46+124.
[16] 杨峰,姜之点.城市建筑集群能耗模拟(UBEM)与环境可持续导向的城市规划与设计:方法,工具和路径[J]建筑科学,2021,37(8):17-24.
[17] Abbasabadi N,Ashayeri M.Urban energy use modeling methods and tools:A review and an outlook[J].Building and Environment,2019,161.
[18] Xia B,Li Z.Optimized methods for morphological design of mesoscale cities based on performance analysis:Taking the residential urban blocks as examples[J].Sustainable Cities and Society,2021,64.
[19] Shi Z,Fonseca J A,Schlueter A.A review of simulation-based urban form generation and optimization for energy-driven urban design[J].Building and Environment,2017,121:119-129.
[20] Nguyen AT,Reiter S,Rigo P.A review on simulation-based optimization methods applied to building performance analysis[J].Applied Energy,2014,113:1043-10 58.
[21] Yang D,Di Stefano D,Turrin M,et al.Dynamic and intera ctive re-formulation of multi-obje ctive optimization problems for conceptual architectural design exploration[J].Automation in Construction,2020,118.
[22] Ekici B,Cubukcuoglu C,Turrin M,et al.Performative computational architecture using swarm and evolutionary optimisation:A review[J].Building and Environment,2019,147:356-371.
[23] 孙澄,韩昀松.基于计算性思维的建筑绿色性能智能优化设计探索[J].建筑学报,2020(10):88-94.
[24] Leng H,Chen X,Ma Y,et al.Urban morphology and building heating energy consumption:Evidence from Harbin,a severe cold region city[J].Energy and Buildings,2020,224.
[25] 张宇,梁世奇.气候条件驱动下建筑计算性设计方法研究[J].南方建筑,2021(3):68-75.
[2] Feng K,Lu W,Wang Y.Assessing environmental performance in early building design stage:An integrated parametric design and machine learning method[J].Sustainable Cities and Society,2019,50.
[3] 袁烽,林钰琼.基于物理风洞与神经网络算法的建筑群体形态生成设计方法研究[J].西部人居环境学刊,2019,34(1):22-30.
[4] Hong T,Kim J,Lee M.A multi-objective optimization model for determining the building design and occupant behaviors based on energy,economic,and environmental performance[J].Energy,2019,174:823-834,
[5] Lu W,Fung A,Peng Y,et al.Cost-benefit analysis of Building Information Modeling implementation in building projects through demystification of time-effort distribution curves[J].Building and Environment,2014,82:317-327.
[6] Negendahl K.Building performance simulation in the ea rly design stage:An introduction to integrated dynamic models[J].Automation in Construction,2015,54:39-53.
[7] Petersen S,Bryder J,Levinsen K,et al.Method for integrating simulation-based support in the building design process[C].Design in Civil and Environmental Engineering,Proceedings of the 3rd International Workshop,Technical University of DenmarkCOWI Fonden,2014(8):83-89.
[8] Purup P B,Petersen S.Research framework for development of building performance simulation tools for early design stages[J].Automation in Construction,2020,109.
[9] Kim H,Stumpf A,Kim W.Analysis of an energy efficient building design through data mining approach[J].Automation in Con struction,2011,20(1):37-43.
[10] 杨崴,于汉泽.生命周期环境影响与成本目标下的建筑设计优化方法[J].建筑学报,2021(2):35-41.
[11] Lin B,Chen H,Yu Q,et al.MOOSASA systematic solution for multiple objective building performance optimization in the early design stage[J].Building and Environment,2021.
[12] Tian Z,Zhang X,Jin X,et al.Towards adoption of building energy simulation and optimization for passive building design:A survey and a review[J].Energy and Buildings,2018,158:1306-1316.
[13] Lu S,Wang C,Fan Y,et al.Robustness of building energy optimization with uncertainties using deterministic and stochastic methods:Analysis of two forms[J].Building and Environment,2021.
[14] Kiss B,Szalay Z.Modular approach to multi-objective environmental optimization of buildings[J].Automation in Construction,2020,111.
[15] 朱明亚,潘毅群,吕岩,等.能耗预测模型在建筑能效优化中的应用研究[J].建筑科学,2020,36(10):35-46+124.
[16] 杨峰,姜之点.城市建筑集群能耗模拟(UBEM)与环境可持续导向的城市规划与设计:方法,工具和路径[J]建筑科学,2021,37(8):17-24.
[17] Abbasabadi N,Ashayeri M.Urban energy use modeling methods and tools:A review and an outlook[J].Building and Environment,2019,161.
[18] Xia B,Li Z.Optimized methods for morphological design of mesoscale cities based on performance analysis:Taking the residential urban blocks as examples[J].Sustainable Cities and Society,2021,64.
[19] Shi Z,Fonseca J A,Schlueter A.A review of simulation-based urban form generation and optimization for energy-driven urban design[J].Building and Environment,2017,121:119-129.
[20] Nguyen AT,Reiter S,Rigo P.A review on simulation-based optimization methods applied to building performance analysis[J].Applied Energy,2014,113:1043-10 58.
[21] Yang D,Di Stefano D,Turrin M,et al.Dynamic and intera ctive re-formulation of multi-obje ctive optimization problems for conceptual architectural design exploration[J].Automation in Construction,2020,118.
[22] Ekici B,Cubukcuoglu C,Turrin M,et al.Performative computational architecture using swarm and evolutionary optimisation:A review[J].Building and Environment,2019,147:356-371.
[23] 孙澄,韩昀松.基于计算性思维的建筑绿色性能智能优化设计探索[J].建筑学报,2020(10):88-94.
[24] Leng H,Chen X,Ma Y,et al.Urban morphology and building heating energy consumption:Evidence from Harbin,a severe cold region city[J].Energy and Buildings,2020,224.
[25] 张宇,梁世奇.气候条件驱动下建筑计算性设计方法研究[J].南方建筑,2021(3):68-75.
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