東華大學圖書館 |

Affordable Residential Under Sunshine: A Study on the Correlation Between Affordable Housing Layout and Solar Environment in Shanghai = = 阳光下的保障性住房：上海保障性住房布局与日照环境关联性研究 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Affordable Residential Under Sunshine: A Study on the Correlation Between Affordable Housing Layout and Solar Environment in Shanghai =/ Siwei Su.
其他題名:	阳光下的保障性住房：上海保障性住房布局与日照环境关联性研究 /
作者:	Su, Siwei,
面頁冊數:	1 electronic resource (189 pages)
附註:	Source: Dissertations Abstracts International, Volume: 85-12, Section: B.
Contained By:	Dissertations Abstracts International85-12B.
標題:	Sustainability. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31242012
ISBN:	9798383163597

Affordable Residential Under Sunshine: A Study on the Correlation Between Affordable Housing Layout and Solar Environment in Shanghai = = 阳光下的保障性住房：上海保障性住房布局与日照环境关联性研究 /
Su, Siwei,

Affordable Residential Under Sunshine: A Study on the Correlation Between Affordable Housing Layout and Solar Environment in Shanghai =阳光下的保障性住房：上海保障性住房布局与日照环境关联性研究 /Siwei Su. - 1 electronic resource (189 pages)

Source: Dissertations Abstracts International, Volume: 85-12, Section: B.

Sunlight is the predominant factor limiting residential design, and the quality of sunlight is composed of both "quantity" and "quality" aspects. In the past, the evaluation of sunlight quality often focused solely on "quantity" as a measure of sunlight quality, neglecting the distinctions in "quality." This approach has largely contributed to the uniform appearance of cities. In recent years, Shanghai has vigorously promoted the construction of affordable housing and advocated enclosed layouts. Additionally, the rigid requirements for sunlight duration have been reduced, placing greater emphasis on the overall improvement of the residential environment. This has led to beneficial exploration in enhancing the morphology of residential areas.However, there is still a lack of systematic research on the correlation between enclosed layouts and sunlight environments, as well as how to guide optimal layouts through design. This paper aims to explore the possibilities of optimizing enclosed residential layouts under the guidance of different sunlight indicators. Using the Rhino + Grasshopper platform for parametric modeling of residential prototypes, sunlight simulations were conducted using the Ladybug plugin within the Grasshopper platform. The Wallacei X plugin, based on the NSGA-II algorithm, was employed for multi-objective optimization. Optimization objectives included health, comfort, energy consumption, and various other aspects to demonstrate the impact of sunlight quality on the residential environment. The optimization process assigned weights to the objectives, yielding filtered results under different weightings.In this study, a multi-objective optimization based on genetic algorithm (MOO-GA) workflow is established to optimize the design of the enclosing layout of the affordable rental residentials in Shanghai, which improves the sunlight environment of the original scheme in different dimensions under the premise of meeting the basic design requirements, and obtains diversified design results, which clearly show the correlation between the sunlight indicators and the layout design. In the establishment of this MOO-GA workflow, the actual needs of residents, the design strategies of designers, and the quantification of indicators of policy makers are integrated, which provides applicable reference to the future design mode of symbiosis between technology and people.In the future, residential experiences should be more diverse. Some individuals may prefer morning sunlight, while others may favor evening sunlight. Designers can adjust the distribution of sunlight in residential areas by controlling the weights of different optimization objectives. Residents can also choose rooms that better suit their needs based on the performance indicators of different unit types, achieving a harmonious symbiosis between technology and the living environment.

English

ISBN: 9798383163597Subjects--Topical Terms:

1029978
Sustainability.
Subjects--Index Terms:

Affordable housing

Affordable Residential Under Sunshine: A Study on the Correlation Between Affordable Housing Layout and Solar Environment in Shanghai = = 阳光下的保障性住房：上海保障性住房布局与日照环境关联性研究 /
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520 $a Sunlight is the predominant factor limiting residential design, and the quality of sunlight is composed of both "quantity" and "quality" aspects. In the past, the evaluation of sunlight quality often focused solely on "quantity" as a measure of sunlight quality, neglecting the distinctions in "quality." This approach has largely contributed to the uniform appearance of cities. In recent years, Shanghai has vigorously promoted the construction of affordable housing and advocated enclosed layouts. Additionally, the rigid requirements for sunlight duration have been reduced, placing greater emphasis on the overall improvement of the residential environment. This has led to beneficial exploration in enhancing the morphology of residential areas.However, there is still a lack of systematic research on the correlation between enclosed layouts and sunlight environments, as well as how to guide optimal layouts through design. This paper aims to explore the possibilities of optimizing enclosed residential layouts under the guidance of different sunlight indicators. Using the Rhino + Grasshopper platform for parametric modeling of residential prototypes, sunlight simulations were conducted using the Ladybug plugin within the Grasshopper platform. The Wallacei X plugin, based on the NSGA-II algorithm, was employed for multi-objective optimization. Optimization objectives included health, comfort, energy consumption, and various other aspects to demonstrate the impact of sunlight quality on the residential environment. The optimization process assigned weights to the objectives, yielding filtered results under different weightings.In this study, a multi-objective optimization based on genetic algorithm (MOO-GA) workflow is established to optimize the design of the enclosing layout of the affordable rental residentials in Shanghai, which improves the sunlight environment of the original scheme in different dimensions under the premise of meeting the basic design requirements, and obtains diversified design results, which clearly show the correlation between the sunlight indicators and the layout design. In the establishment of this MOO-GA workflow, the actual needs of residents, the design strategies of designers, and the quantification of indicators of policy makers are integrated, which provides applicable reference to the future design mode of symbiosis between technology and people.In the future, residential experiences should be more diverse. Some individuals may prefer morning sunlight, while others may favor evening sunlight. Designers can adjust the distribution of sunlight in residential areas by controlling the weights of different optimization objectives. Residents can also choose rooms that better suit their needs based on the performance indicators of different unit types, achieving a harmonious symbiosis between technology and the living environment.
520 $a 日照是限制住宅设计的最大因素，日照的质量由"质"和"量"两方面构成。在过去的指标体系中，往往以仅以"量"作为衡量日照优劣的标准，而忽视了"质"的区别，很大程度上导致了"千城一面"的城市面貌。近年来，上海市大力推行保障性住区建设，倡导围合式布局，并且降低了对日照时长的硬性要求，更加关注住区环境的整体提升，这对改善住区形态带来了有益的探索。然而围合式布局与日照环境之间有怎样的关联性，怎样通过设计导向更优的布局仍然缺乏系统性的研究。然而，对于围合式布局与日照环境之间的相关性，以及如何通过设计指导优化布局，目前仍缺乏系统的研究。本文旨在探究在不同日照指标的引导下，围合式住区布局优化的可能性。利用rhino + grasshopper平台对住区原型进行参数化建模，利用grasshopper平台下的ladybug插件进行日照模拟，利用Wallacei X 插件，基于NSGA-II算法进行多目标优化求解。优化目标从健康、舒适和能耗等多个方面展现日照质量对住区环境的影响，优化过程对目标赋予权重，最后得出不同权重下的筛选结果。本研究建立了基于遗传算法的多目标优化（MOO-GA）工作流程，对上海市保障性租赁住宅的围合布局进行优化设计，在满足基本设计要求的前提下，从不同维度改善了原方案的日照环境，得到了多样化的设计结果，明确了日照指标与布局设计之间的相关性。在这一MOO-GA工作流程的建立过程中，融合了居民的实际需求、设计师的设计策略、决策者的指标量化，为未来科技与人共生的设计模式提供了具有可行性的参考。在未来，居住体验应该是更加多样化的，有人更喜欢朝阳，就有人更眷恋落日，设计师可以通过控制不同优化目标的权重来调整住区的阳光分布，住户也可以通过不同户型的性能指标挑选更符合需求的房间，从而实现技术与人居环境的和谐共生。.
546 $a English
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650 4 $a Sustainability. $3 1029978
650 4 $a Alternative energy. $3 3436775
653 $a Affordable housing
653 $a Genetic algorithm
653 $a Multi-objective optimization
653 $a Residential layout
653 $a Solar simulation
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690 $a 0640
690 $a 0363
710 2 $a University of Hawai'i at Manoa. $b Architecture. $e degree granting institution. $3 3816344
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