论文标题:Towards Digitalized Urban Planning and Design of Low-Carbon Cities: Evolution and Application Review of Assessment Tools
期刊:Landscape Architecture Frontiers
作者:Meng XU, Yue ZHONG, Yu YE
发表时间:15 Apr 2024
DOI:10.15302/J-LAF-1-020096
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注:本文为删减版,不可直接引用。原中英文全文刊发于《景观设计学》(Landscape Architecture Frontiers)2024年第2期“面向关键挑战的智慧化景观设计”。
导 读
在向数字化低碳城市规划设计方向转型的过程中,碳排放量化评估是关键一环。本文分别在城市尺度和片区/街区尺度上对多种典型的数字化碳排放评估工具进行了综述,并总结了工具评估的维度和参考依据。总的来说,现阶段基于能源系统规划和运营能耗模拟的评估工具仍占主导;随着碳排放预测的精细化发展趋势和脱碳政策重点的转变,基于用地类型和材料的碳排放预测和碳汇估算工具也发展迅速。然而,这些工具目前在城市规划设计实践项目中的应用有限,特别是在初期阶段。因此,本研究继而通过分析未应用数字化评估工具的低碳实践案例,指出:未来,应提高工具的灵活性和场景适应性,构建完善的数据库,兼顾运营碳、隐含碳和碳汇计算,契合多维度、多标准、全流程的评估需求。
关键词
低碳城市;碳排放;碳排放评估工具;城市规划设计;数字化;碳汇
迈向数字化的低碳城市规划设计:碳排放评估工具演进与应用回顾
Towards Digitalized Urban Planning and Design of Low-Carbon Cities:Evolution and Application Review of Assessment Tools
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)
1 同济大学建筑与城市规划学院
2 同济大学高密度人居环境与生态节能教育部重点实验室
3 奥雅纳工程咨询(上海)有限公司
01
引言
目前,国内外低碳城市建设的重点已从宏观层面的概念梳理逐渐转向微观层面的具体问题分析和数字化技术的运用。然而,现有的碳排放评估工具(下文简称为“评估工具”)相关综述研究主要存在以下几点局限性。首先,对评估工具的综述主要关注能源系统规划设计和建筑全生命周期评估两方面。第二,现有的综述研究往往聚焦单一尺度或学科,缺乏跨尺度、跨学科的系统分析。第三,评估工具虽呈多样化发展趋势,但仍未广泛应用到规划设计实践中。
本文从功能特点、评估维度和适用场景等方面对评估工具进行系统性梳理和比较研究,并根据具体应用情况探讨其存在的不足;最后,本文将总结各类评估工具的发展趋势,指明潜在发展方向,为未来低碳城市规划设计研究和实践提供参考。
![](/upload/paper/images/2024/7/202475145052070.jpg)
碳排放评估工具综述研究框架 © 徐萌,仲玥,叶宇
02
研究方法
本文利用谷歌学术进行文献筛选和验证。首先,检索了1980年1月1日至2023年12月31日发表的文献,检索关键词包括“carbon assessment tools”“carbonemission evaluation”“low carbon urban planning”“low carbon urban design”“low-carboncity””urban energy planning”“carbon-neutral city”“碳排放评估工具”“低碳评估指标体系”“碳排放评估工具综述”“零碳城市”“零碳规划”“减碳技术”“碳中和城市规划”。随后选取多次被提及的评估工具。此外,本文选取了部分创新性强、代表近期发展趋势且开发相对成熟的工具。最后,对所得工具进行初步分类,每类中官方介绍较为详细、完善的工具被保留并用于最终分析。
03
研究结果
评估工具概述
本文共检索到19个评估工具,按照尺度和功能将其划分为两大类(表1):第一类工具主要用于辅助城市尺度的规划政策制定;第二类工具主要用于评估片区/街区尺度的规划设计方案。
![](/upload/paper/images/2024/7/2024751450337380.png)
碳评估工具的开发和演进与低碳政策及相关需求的发展息息相关。首先,城市和片区/街区尺度上的碳评估工具从20世纪80年代开始出现,在近十年显著增多。片区/街区尺度的评估工具近些年的发展增速尤为明显,这反映了低碳评估精细化发展趋势,以及脱碳政策重点的转变。
![](/upload/paper/images/2024/7/2024751450599100.jpg)
碳评估工具发展趋势(圆圈标注的One-Click LCA 和Tally 工具出现较早,用于建筑的隐含碳评估)。© 徐萌,仲玥,叶宇
城市尺度碳评估工具
按照功能,城市尺度的碳评估工具主要分为能源系统和政策分析、城市气候政策分析和基于用地类型的碳排放预测三类。
1)能源系统和能源政策分析类工具:评估不同能源规划战略和情景下的碳排放,预测资金、成本和对环境变化的影响,主要涉及能源系统及电力、供热制冷等相关领域。
2)城市气候政策分析类工具:综合性较强,通常涉及建造业、交通运输、工业等跨系统规划。
![](/upload/paper/images/2024/7/2024751451197700.png)
城市气候政策分析类工具CURB © World Bank Group
![](/upload/paper/images/2024/7/2024751451401450.png)
CURB技术路线图 © 徐萌,仲玥,叶宇
3)基于用地类型的碳排放预测类工具:基于真实地块的土地利用类型变化来预测城市在不同发展情景下的碳排放水平。近年来,大量研究学者着手探索更加精细化的碳排放预测方法,但其发展尚处于起步阶段。
![](/upload/paper/images/2024/7/202475151528790.png)
基于用地类型的碳排放预测类工具CarbonVCA操作界面 © UrbanComp
![](/upload/paper/images/2024/7/202475152103630.png)
CarbonVCA技术路线图 © 徐萌,仲玥,叶宇
综上,城市尺度碳评估工具通过预测碳排放对政府部门的政策制定起到指导作用。碳排放预测呈现精细化趋势,基于宏观统计数据的预测相对成熟,而基于微观地块和城市空间特征的碳排放预测仍待探索。
片区/街区尺度碳评估工具
现有的碳评估工具大致可分为运营能耗模拟与隐含碳和碳汇估算两大类。
1)运营能耗模拟类工具:此类工具出现较早,主要根据气候信息和建筑特征等数据预测建筑和片区的运营能耗。其中,一部分工具致力于从多个可持续维度的评估(包括碳评估)来辅助早期方案设计;另外一部分工具侧重于片区/街区尺度的能耗预测和能源系统优化,可支持高精度实时运营碳排放的预测,并将城市形态作为重要因素纳入能耗计算。
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运营能耗模拟类工具umi能源需求计算示意图 © MIT Sustainable Design Lab
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umi技术路线图 © 徐萌,仲玥,叶宇
2)隐含碳和碳汇估算类工具:虽然有少数运营能耗模拟类工具也兼具隐含碳评估的功能,但其只量化建筑建设和改造产生的隐含能源消耗,不涉及景观等其他城市环境和设施。新兴碳评估工具将焦点从运营碳转向隐含碳,可根据用地类型和材料等数据预测各尺度项目的隐含碳和碳汇,尤其考量大尺度项目的环境影响。
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隐含碳和碳汇估算类工具Carbon Conscience官网页面 © SASAKI
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Carbon Conscience技术路线图 © 徐萌,仲玥,叶宇
综上,目前在片区/街区尺度上仍缺乏综合考量运营碳和隐含碳,同时集成气候、能源系统、用地类型和材料等数据的综合性评估工具。
评估维度及参考数据
根据城市各系统的能源需求、碳排放量和可持续发展要素等,研究分别总结上述城市尺度和片区/街区尺度碳评估工具(表2)。
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在城市尺度上,建筑、工业、商业和交通运输是碳评估工具的共性维度。其他主要维度包括电力、污水处理和固体垃圾管理等方面。这些工具主要依照宏观经济和土地利用能耗数据对各维度进行量化评估,更新周期长、数据开放度低的特点,会从根本上影响评估的准确性和适用性。
1)经济能耗数据通常来源于政府部门的统计报告,数据获得存在一定的滞后性对比之下,仅针对某一国家或地区的工具获取和更新数据较为容易,且工具通常自带部分数据库。此外,LEAP等工具还允许使用者根据开发额外的功能程序。
2)土地利用能耗数据包含用地类型和用地类型碳排放系数两类数据。用地类型数据同样来源于城市政府部门;而碳排放系数则需根据案例城市的具体用地情况详细测定。
在片区/街区尺度上,运营能耗模拟工具主要用于预测能源需求。它们通常和微气候/热舒适的评估相结合,部分工具也能进行能源系统分析和可再生能源评估。针对规划设计初期阶段的评估工具还包含其他可持续分析模块(如日光照明等)。而隐含碳和碳汇估算工具的评估维度相对单一,主要侧重建筑和景观,较少评估交通、基础设施等方面。
其中,运营能耗模拟类工具主要参考建筑形态、属性和气候信息等数据,隐含碳和碳汇估算类工具主要参考建筑、景观、基础设施的用地类型、材料、结构等数据(表3)。
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1)气候数据和建筑形态属性数据是开源数据,设计师会搜集卫星图等多方数据进行验证和调整,提高数据的准确性。侧重能源系统优化和供需分析的工具可参考建筑的供能系统类型和使用者的行为活动数据来获取更加精确的能耗现状,并预测未来的能源需求。
2)隐含碳和碳汇估算工具所参考的用地类型、用地面积、材料、场地管理等数据没有直接的来源,需要综合多学科知识,并结合既有研究和实践经验来获取。同时,数据库需要不断更新,以适应多样化的项目需求。
04
讨论
评估维度及参考数据
本文搜集并比较了未运用评估工具的低碳实践案例,以发现现有评估工具的不足。
由于各个国家和城市的差异显著,国内外城市纷纷依据实际情况构建了低碳建设评估框架和实施方法。天津市提出了基于减碳和固碳两方面的城市规划低碳评估指标体系,并结合现有国土空间规划框架探索了减碳技术路线。马来西亚也提出其低碳城市框架与评估系统,弥补了政府政策与市场上众多绿色城市评级工具之间的差距。然而,无法获取案例城市的准确数据也导致了部分国家和城市开发的工具只适用于局部地区,无法广泛应用。
片区/街区尺度上,碳排放通常与微气候/热舒适、日光潜力等指标的评估相结合。另外,隐含碳和碳汇估算评估工具在建筑材料和结构设计方面的应用已日臻成熟,而在综合性城市规划设计方面的应用刚刚兴起。
针对片区/街区尺度上的评估工具,有以下几点局限值得讨论。
第一,大部分规划设计实践仍未将碳排放作为关键因素,而只将其作为方案完成后的评估选项之一。
第二,大多数工具只聚焦单一方面的碳排放,同时,组合使用多种工具会导致数据之间关联的缺失。无锡市蠡湖新城规划项目构建了新的碳中和评估体系,可同时评估碳排放和碳汇;而济南市西部新区规划案例评估了规划方案的路网可达性、交通碳排放潜力等。当前评估工具中正缺乏此类侧重空间规划设计的多维度碳排放评估。
第三,现有的工具主要关注量化评估,欠缺相应的设计优化建议、低碳策略和实施方法等。而在实际项目中,重点在于可以指导落地的技术路线。例如,上海市斜土社区等7个社区通过传统的现状调查、碳排摸底和数据分析,制定了低碳更新策略和实施路径。
最后,片区/街区尺度工具普遍缺乏全流程意识,以及项目管理和运营过程中的碳排放监控核查。目前,有部分城市对此进行探索。上海市数字江海产业园通过搭建智慧减碳的数字孪生平台收集和反馈管理碳排放数据,形成了统合规划、建设、管理、运营关键环节的城市街区减碳技术框架。
综上,无论是城市和片区/街区尺度评估工具,都应提升工具的综合性和灵活性,使其适用于更加多样的场景,更准确、高效地辅助规划设计实践。
评估工具发展趋势
根据上述梳理分析,本文认为数字化低碳城市规划设计评估工具的未来发展趋势可总结为以下几点。首先,多学科的交叉融合增强工具实用性,提供一体化设计的最优化方案。第二,数据库构建是提高评估工具应用广度和精度的关键。第三,多标准的低碳评估研究还有待深入。第四,提高评估工具的经济可行性和使用便捷性。第五,随着人工智能(AI)技术的发展与广泛应用,评估工具也将迎来数字未来智慧化的迭代革新。
研究局限
本研究主要通过谷歌学术筛选文献来收集评估工具。这一方法可能导致一些新兴评估工具因为文献提及较少而未被纳入本研究中。此外,在梳理全球低碳城市规划设计案例时,缺乏系统的方法来全面搜集评估工具应用案例,可在未来研究中进一步优化。
05
结语
本文从分类、特征、应用三个主要方面对数字化低碳城市规划设计评估工具进行了系统性梳理和比较研究,整体而言,此类工具在规划设计多个阶段的运用对低碳城市建设具有重要意义。在政策制定阶段,评估工具能够预测不同发展愿景和措施下城市的碳排放量;在方案初期,不少评估工具可以从项目伊始的概念设计阶段就测算设计方案的碳排放;在方案中后期,不少评估工具也可快速、准确地对设计方案进行碳排放模拟运算;在建成后阶段,一些评估工具还可以持续追踪项目的运营碳。未来,碳排放评估工具将朝着全球适用性、多学科涵盖、全生命周期计算、经济平衡和数据可视化等方面发展,与AI等智能技术的结合也将大大提升实践中碳评估的效率,使评估工具更好地支持城市规划设计实践。
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本文引用格式 / PLEASE CITE THIS ARTICLE AS
Xu, M., Zhong, Y., & Ye, Y. (2024). Towards digitalized urban planning and design of low-carbon cities: Evolution and application review of assessment tools. Landscape Architecture Frontiers, 12(2), 9?29. https://doi.org/10.15302/J-LAF-1-020096
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