Cumincad : CUMINCAD Papers : Search Results

CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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_id	caadria2022_196
id	caadria2022_196
authors	Grisiute, Ayda, Shi, Zhongming, Chadzynski, Arkadiusz, Silvennoinen, Heidi, von Richthofen, Aurel and Herthogs, Pieter
year	2022
title	Automated Semantic SWOT Analysis for City Planning Targets: Data-driven Solar Energy Potential Evaluations for Building Plots in Singapore
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 555-564
doi	https://doi.org/10.52842/conf.caadria.2022.1.555
summary	Singapore‚s urban planning and management is cross-domain in nature and need to be assessed using multi-domain indicators ‚ such as SDGs. However, urban planning processes are often confronted with data interoperability issues. In this paper, we demonstrate how a Semantic Web Technology-based approach combined with a SWOT analysis framework can be used to develop an architecture for automated multi-domain evaluations of SDG-related planning targets. This paper describes an automated process of storing heterogeneous data in a semantic data store, deriving planning metrics and integrating a SWOT framework for the multi-domain evaluation of on-site solar energy potential across plots in Singapore. Our goal is to form the basis for a more comprehensive planning support tool that is based on a reciprocal relationship between innovations in SWT and a versatile SWOT framework. The presented approach has many potential applications beyond the presented energy potential evaluation.
keywords	Semantic Web, Knowledge Graphs, SWOT analysis, energy-driven urban design, SDG 11, SDG 7
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	caadria2022_278
id	caadria2022_278
authors	Ortner, F. Peter and Tay, Jing Zhi
year	2022
title	Optimizing Design Circularity: Managing Complexity in Design for Circular Economy Through Single and Multi-Objective Optimisation
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 191-200
doi	https://doi.org/10.52842/conf.caadria.2022.1.191
summary	This paper advances the application of computational optimization to design for circular economy (CE) by comparing results of scalarized single-objective optimization (SOO) and multi-objective optimization (MOO) to a furniture design case study. A framework integrating both methods is put forward based on results of the case study. Existing design frameworks for CE emphasize optimization through an iterative process of manual assessment and redesign (Ellen MacArthur Foundation, 2015). Identifying good design solutions for CE, however, is a complex and time-consuming process. Most prominent CE design frameworks list at least nine objectives, several of which may conflict (Reike et al., 2018). Computational optimization responds to these challenges by automating search for best solutions and assisting the designer to identify and manage conflicting objectives. Given the many objectives outlined in circular design frameworks, computational optimisation would appear a priori to be an appropriate method. While results presented in this paper show that scalarized SOO is ultimately more time-efficient for evaluating CE design problems, we suggest that given the presence of conflicting circular design objectives, pareto-set visualization via MOO can initially better support designers to identify preferences.
keywords	Design for Circular Economy, Computational Optimisation, Sustainability, Design Optimisation, SDG 11, SDG 12
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	cdrf2022_337
id	cdrf2022_337
authors	Ping Chen, Chang Liu, and Hsin-Hsien Chiu
year	2022
title	Study on Optimization of Building Climate Adaptive Morphology in Cold Regions of China: Case of U-Shaped College Building
source	Proceedings of the 2022 DigitalFUTURES The 4st International Conference on Computational Design and Robotic Fabrication (CDRF 2022)
doi	https://doi.org/https://doi.org/10.1007/978-981-19-8637-6_30
summary	Proper design of building form will facilitate the use of climate environment in order to reduce the reliance of buildings on active equipment. This study takes the cold region of China as the research area, and Jinan city of Shandong province as a typical city in the cold region for specific research. The multi-objective optimization tool based on NSGA-II algorithm is used to optimize the opening angle, length of both sides and floor height of the building, and finally the optimal size range of the university teaching building under the influence of solar radiation heat gain in winter and summer is obtained, and the results show that for the U-shaped university teaching building, the parameters that affect the building performance more in the case of the east side opening are the length of the north side building and the rotation angle of the south side building, and the parameters that affect the performance more in the case of the west side opening are the length of the building on the south side.
series	cdrf
email
last changed	2024/05/29 14:03

_id	caadria2022_260
id	caadria2022_260
authors	Ricafort, Kim, Koch, Ethan and Makki, Mohammed
year	2022
title	Addressing Flood Resilience In Jakarta‚s Kampungs Through The Use Of Sequential Evolutionary Simulations
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 655-664
doi	https://doi.org/10.52842/conf.caadria.2022.1.655
summary	The urban superblock of Kampung Melayu, located in Jakarta, Indonesia, is a typology amalgamated by the environmental and infrastructural challenges caused by Jakarta‚s urban sprawl. Rapid and unregulated urban growth, fluctuating tropical conditions, rising sea levels and unprecedented environmental stresses have led to a city that is sinking, leaving unregulated low-income settlements, such as Kampung Melayu, most vulnerable. To address these issues, the presented research employs the use of a multi-objective evolutionary algorithm for an in-depth analysis of the various relationships within the urban fabric. The simulations present an alternative urban approach to the design of a flood resilient Kampung; addressing environmental and demographic stresses while maintaining the irregularity that has become ingrained in the history of the urban form.
keywords	jakarta, kampung melayu, sequential simulations, evolutionary algorithm, computational design, urban growth, flood resilience, SDG 3, SDG 6, SDG 10, SDG 11, SDG 13
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	caadria2022_145
id	caadria2022_145
authors	Duering, Serjoscha, Fink, Theresa, Chronis, Angelos and Konig, Reinhard
year	2022
title	Environmental Performance Assessment - The Optimisation of High-Rises in Vienna
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 545-554
doi	https://doi.org/10.52842/conf.caadria.2022.1.545
summary	Our cities are facing different kinds of challenges - in parallel to the urban transformation and densification, climate targets and objectives of decision-makers are on the daily agenda of planning. Therefore, the planning of new neighbourhoods and buildings in high-density areas is complex in many ways. It requires intelligent processes that automate specific aspects of planning and thus enable impact-oriented planning in the early phases. The impacts on environment, economy and society have to be considered for a sustainable planning result in order to make responsible decisions. The objective of this paper is to explore pathways towards a framework for the environmental performance assessment and the optimisation of high-rise buildings with a particular focus on processing large amounts of data in order to derive actionable insights. A development area in the urban centre of Vienna serves as case study to exemplify the potential of automated model generation and applying ML algorithm to accelerate simulation time and extend the design space of possible solutions. As a result, the generated designs are screened on the basis of their performance using a Design Space Exploration approach. The potential for optimisation is evaluated in terms of their environmental impact on the immediate environment.
keywords	simulation, prediction and evaluation, machine learning, computational modelling, digital design, high-rises, SGD 11, SDG 13
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	caadria2022_239
id	caadria2022_239
authors	Huang, Chenyu, Zhang, Gengjia, Yin, Minggang and Yao, Jiawei
year	2022
title	Energy-driven Intelligent Generative Urban Design, Based on Deep Reinforcement Learning Method With a Nested Deep Q-R Network
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 233-242
doi	https://doi.org/10.52842/conf.caadria.2022.1.233
summary	To attain "carbon neutrality," lowering urban energy use and increasing the use of renewable resources have become critical concerns for urban planning and architectural design. Traditional energy consumption evaluation tools have a high operational threshold, requiring specific parameter settings and cross-disciplinary knowledge of building physics. As a result, it is difficult for architects to manage energy issues through 'trial and error' in the design process. The purpose of this study is to develop an automated workflow capable of providing urban configurations that minimizing the energy use while maximizing rooftop photovoltaic power potential. Based on shape grammar, parametric meta models of three different urban forms were developed and batch simulated for its energy performance. Deep reinforcement learning (DRL) is introduced to find the optimal solution of the urban geometry. A neural network was created to fit a real-time mapping of urban form indicators to energy performance and was utilized to predict reward for the DRL process, namely a Deep R-Network, while nested within a Deep Q-Network. The workflow proposed in this paper promotes efficiency in optimizing the energy performance of solutions in the early stages of design, as well as facilitating a collaborative design process with human-machine interaction.
keywords	energy-driven urban design, intelligent generative design, rooftop photovoltaic power, deep reinforcement learning, SDG 11, SDG 12
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	ecaade2022_85
id	ecaade2022_85
authors	Ataman, Cem, Herthogs, Pieter, Tuncer, Bige and Perrault, Simon
year	2022
title	Multi-Criteria Decision Making in Digital Participation - A framework to evaluate participation in urban design processes
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 1, Ghent, 13-16 September 2022, pp. 401–410
doi	https://doi.org/10.52842/conf.ecaade.2022.1.401
summary	Data-driven urban design processes consist of iterative actions of many stakeholders, which require digital participatory approaches for collecting data from a high number of participants to make informed decisions. It is important to evaluate such processes to justify the necessary costs and efforts while continuously improving digital participation. Nevertheless, such evaluation remains a challenge due to the involvement of different stakeholders including participants, designers, and policymakers in decision-making processes, and the lack of a systematic method to generalize participation outputs that are mostly situated and context based. By addressing this challenge, this paper introduces a Multi-Criteria Decision Analysis (MCDA) based framework to measure the effectiveness and quality of digital participation systematically and quantitatively. To achieve such evaluation, we conducted a digital participation experiment and investigated such processes with the help of participants, designers, and policymakers from Singapore and Hamburg. By formulating this framework, we aim to reveal perspectives of different stakeholders towards digital participation and enable the evaluation and comparison of digital participation processes based on the introduced digital participation criteria.
keywords	Data-Driven Urban Design, Digital Participation, Stakeholder Involvement, Multi-Criteria Decision Analysis (MCDA), Participation Quantification
series	eCAADe
email
last changed	2024/04/22 07:10

_id	ijac202220101
id	ijac202220101
authors	Bao, Ding Wen; Xin Yan, Yi Min Xie
year	2022
title	Encoding topological optimisation logical structure rules into multi-agent system for architectural design and robotic fabrication
source	International Journal of Architectural Computing 2022, Vol. 20 - no. 1, pp. 7–17
summary	Natural phenomena have been explored as a source of architectural and structural design inspiration with different approaches undertaken within architecture and engineering. The research proposes a connection between two dichotomous principles: architectural complexity and structural efficiency through a hybrid of natural phenomena, topology optimisation and generative design. Both Bi-directional Evolutionary Structural Optimisation (BESO) and multi-agent algorithms are emerging technologies developed into new approaches that transform architectural and structural design, respectively, from the logic of topology optimisation and swarm intelligence. This research aims to explore a structural behaviour feedback loop in designing intricate functional forms through encoding BESO logical structure rules into the multi-agent algorithm. This research intends to study and evaluate the application of topology optimisation and multi-agent system in form-finding and later robotic fabrication through a series of prototypes. It reveals a supposition that the structural behaviour-based design method matches the beauty and function of natural appearance and structure. Thus, a new exploration of architectural design and fabrication strategy is introduced, which benefits the collab- oration among architects, engineers and manufacturers. There is the potential to seek the ornamental complexities in architectural forms and the most efficient use of material based on structural performance in the process of generating complex geometry of the building and its various elements.
keywords	Swarm intelligence, multi-agent, bi-directional evolutionary structural optimisation (BESO), intricate architectural form, efficient structure
series	journal
last changed	2024/04/17 14:29

_id	caadria2022_194
id	caadria2022_194
authors	Cheung, Ling Kit, Xu, Zhitao, Chen, Pei and Makki, Mohammed
year	2022
title	An Alternative Model for Urban Renewal: A Generative Approach to the (Re)-Development of Xian Village
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 181-190
doi	https://doi.org/10.52842/conf.caadria.2022.1.181
summary	The impact of urban renewal, specifically in countries experiencing rapid urbanisation due to population growth, has resulted in the erasure of urban culture and heritage in favour of repetitive homogeneity that has been synonymous with 20th century modernist planning models. One such region experiencing this rapid urban renewal is the Guangzhou region in southern China. The presented experiments examine Xian Village in Guangzhou, a culturally rich urban tissue currently experiencing redevelopment, and proposes an alternative model for urban renewal, employing a bottom-up approach to urban growth through the use of a multi-objective evolutionary model; presenting a model that integrates historic and existing urban characteristics adapted to future development plans.
keywords	China, Guangzhou, Xian Village, Village in the City, Urban Renewal, Cultural and Heritage Preservation, Multi-Objective Evolutionary Algorithm (MOEA), SDG 10, SDG 11, SDG 13
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	ijac202220307
id	ijac202220307
authors	Cicek, Selen; Gozde Damla Turhan
year	2022
title	Computational generation of a spatial layout through syntactical evaluation and multi-objective evolutionary optimization
source	International Journal of Architectural Computing 2022, Vol. 20 - no. 3, pp. 610–629
summary	The space layout problem encompasses challenges that rely on a diverse range of contexts regarding urban planning and architectural design, during the traditional design phases which require immense effort and time for the evaluation of the spatial elements’ characteristic needs. In order to eliminate the burden of considering all multidimensional design aspects at the same time, this research presents a three-bodied computational method for locating the spaces of the given architectural design program in a project site, according to the defined list of design objectives and criteria. Besides the determination of the layout according to the requirements of the spatial elements, this research proposes an integration of the space syntax theory’s analytical compounds in terms of Justified Graph Analysis and Integration Values as the fitness criteria for the multi-objective evolutionary optimization in the computational model. To satisfy the integrity levels of each various characterized element within site organization, that are implied inherently by the architectural design program and generate a sustainable space network layout for the project site
keywords	computational space layout, space syntax, spatial organization, spatial network, evolutionary algorithms
series	journal
last changed	2024/04/17 14:30

_id	ecaade2022_278
id	ecaade2022_278
authors	Gopalakrishnan, Srilalitha, Srikanth, Anjanaa, Hablani, Chirag and Schroepfer, Thomas
year	2022
title	Measuring Impacts of Vertically Integrated Pedestrian Network Configurations on Urban Space Use in Dense Built Environments
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 2, Ghent, 13-16 September 2022, pp. 307–316
doi	https://doi.org/10.52842/conf.ecaade.2022.2.307
summary	Integrated mixed-use developments are increasingly taking the form of vertical extensions of urban spaces on the ground. The spatial networks within the evolving vertical neighbourhoods, their relationships with the larger urban fabric, and the user interactions within these complex multi-layered urban built environments are numerous and varied. This paper presents an analytical framework to map and analyse the pedestrian connectivity within the vertically integrated urban open space network and its interactions with the ground level urban fabric using a Network Science-based approach. The research uses Kampung Admiralty, a first-of-its-kind building site scale 'vertical city' prototype in Singapore, as a case study. A 3d pedestrian network link model mapping the pedestrian connectivity within the development is generated and analysed to understand the flows and accessibility to the vertically distributed urban open spaces. This 3d pedestrian link model is further combined with the 2d urban walking network at the ground level to generate an integrated neighbourhood-level walkability analysis. Analysing the two-dimensional connectivity at the ground level and comparing the influence of linking the three-dimensional vertical connectivity to the ground network generates valuable design insights into the spatial performance of vertically integrated developments in their immediate urban context.
keywords	Network Science, sDNA, Urban Pedestrian Network, Vertical Urban Environments, Vertical Connectivity
series	eCAADe
email
last changed	2024/04/22 07:10

_id	caadria2024_365
id	caadria2024_365
authors	Lahtinen, Aaro, Gardner, Nicole, Ramos Jaime, Cristina and Yu, Kuai
year	2024
title	Visualising Sydney's Urban Green: A Web Interface for Monitoring Vegetation Coverage between 1992 and 2022 using Google Earth Engine
source	Nicole Gardner, Christiane M. Herr, Likai Wang, Hirano Toshiki, Sumbul Ahmad Khan (eds.), ACCELERATED DESIGN - Proceedings of the 29th CAADRIA Conference, Singapore, 20-26 April 2024, Volume 2, pp. 515–524
doi	https://doi.org/10.52842/conf.caadria.2024.2.515
summary	With continued population growth and urban expansion, the severity of environmental concerns within cities is likely to increase without proper urban ecosystem monitoring and management. Despite this, limited efforts have been made to effectively communicate the ecological value of urban vegetation to Architecture, Engineering and Construction (AEC) professionals concerned with mitigating these effects and improving urban liveability. In response, this research project proposes a novel framework for identifying and conveying historical changes to vegetation coverage within the Greater Sydney area between 1992 and 2022. The cloud-based geo-spatial analysis platform, Google Earth Engine (GEE), was used to construct an accurate land cover classification of Landsat imagery, allowing the magnitude, spatial configuration, and period of vegetation loss to be promptly identified. The outcomes of this analysis are represented through an intuitive web platform that facilitates a thorough understanding of the complex relationships between anthropogenic activities and vegetation coverage. A key finding indicated that recent developments in the Blacktown area had directly contributed to heightened land surface temperature, suggesting a reformed approach to urban planning is required to address climatic concerns appropriately. The developed web interface provides a unique method for AEC professionals to assess the effectiveness of past planning strategies, encouraging a multi-disciplinary approach to urban ecosystem management.
keywords	Urban Vegetation, Web Interface, Landsat Imagery, Land Cover Classification, Google Earth Engine
series	CAADRIA
email
last changed	2024/11/17 22:05

_id	caadria2022_394
id	caadria2022_394
authors	Li, Yuanyuan, Huang, Chenyu, Zhang, Gengjia and Yao, Jiawei
year	2022
title	Machine Learning Modeling and Genetic Optimization of Adaptive Building Facade Towards the Light Environment
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 141-150
doi	https://doi.org/10.52842/conf.caadria.2022.1.141
summary	For adaptive facades, the dynamic integration of architectural and environmental information is essential but complex, especially for the performance of indoor light environments. This research proposes a new approach that combines computer-aided design methods and machine learning to enhance the efficiency of this process. The first step is to clarify the design factors of adaptive facade, exploring how parameterized typology models perform in simulation. Then interpretable machine learning is used to explain the contribution of adaptive facade parameters to light criteria (DLA, UDI, DGP) and build prediction models for light simulation. Finally, Wallacei X is used for multi-objective optimization, determines the optimal skin options under the corresponding light environment, and establishes the optimal operation model of the adaptive facades against changes in the light environment. This paper provides a reference for designers to decouple the influence of various factors of adaptive facades on the indoor light environment in the early design stage and carry out more efficient adaptive facades design driven by environmental performance.
keywords	Adaptive Facades, Light Environment, Machine learning, Light Simulation, Genetic Algorithm, SDG 3, SDG 12
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	caadria2022_281
id	caadria2022_281
authors	Moscovitz, Or and Barath, Shany
year	2022
title	A Generative Design Approach to Urban Sustainability Rating Systems During Early-Stage Urban Development
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 171-180
doi	https://doi.org/10.52842/conf.caadria.2022.1.171
summary	Sustainability rating systems (SRS) aim to guide decision-makers in the planning process by defining clear guidelines and metrics. Nowadays, this process usually requires further tasks and the involvement of multiple professional advisors that eventually increase planning complexity and lead to lower SRS implementation. In this paper, we explore generative urban models and multi-objective optimization of SRS metrics to potentially enhance SRS use in planning processes. Furthermore, we apply this framework to a case study that has not reached its SRS planning goals due to contradicting trade-offs between municipal and stakeholder objectives. The urban model reflects the stakeholder design requirements and constraints such as the desired floor area ratio (FAR), building types, and units‚ number while the SRS metrics act as optimization goals. As part of the process, we automate quantitative indicators from Israel SRS ‚360 Neighbourhood‚ to use them as optimization goals and to analyse their correlation and trade-offs. Through this process, we enable a generative exploration of high-performing design iterations relative to a chosen set of SRS goals. Such a framework can enhance the integration of verified sustainability goals in the planning process, thus informing the stakeholders of their decision trade-off‚s concerning SRS indicators in urban development.
keywords	Sustainability Rating Systems, Generative Design, Multi-objective optimization, Urban Modelling and Simulation, SDG 11
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	ascaad2022_011
id	ascaad2022_011
authors	Najafi, Qodsiye; Mahlabani, Yousef; Goharian, Ali; Mahdavinejad, Mohammadjavad
year	2022
title	A Novel Design-Based Optimization Solution for Building by Sensitivity Analysis
source	Hybrid Spaces of the Metaverse - Architecture in the Age of the Metaverse: Opportunities and Potentials [10th ASCAAD Conference Proceedings] Debbieh (Lebanon) [Virtual Conference] 12-13 October 2022, pp. 632-653
summary	The important objective of a building must be to provide a comfortable environment for people. Heating, ventilation and air conditioning (HVAC) systems provide a comfortable environment, but they are using high energy consumption, therefore, designing an energy-efficient building that balances energy performance and thermal comfort is necessary. To achieve this subject is important to choose the effective parameters for energy performance. This research aim is to produce a methodology for multi-objective optimization of daylight and thermal comfort in order to study the effect of wall material and shading of an office building (Tehran a basic-location). The building simulation was developed and validated by comparing predicted daylight hours and thermal comfort hour based on test and training on Jupiter Notebook (Anaconda3). The sensitivity analysis uses a multiple linear regression (MLR) method. Secondly, optimization is based on a genetic algorithm (GA) with the effective parameters to optimize the daylight and thermal comfort performance. For this, we developed a parametric model using the Grasshopper plugin for Rhino and then use Honeybee and Ladybug plugins to simulate thermal comfort and daylight, at the end use the Octopus engine to find an optimization solution. The result of this paper is essential as a preliminary analysis for shading devices, window-to-wall ratios, and wall construction optimization in the open-plan office.
series	ASCAAD
email
last changed	2024/02/16 13:24

_id	ecaade2022_334
id	ecaade2022_334
authors	Sepúlveda, Abel and De Luca, Francesco
year	2022
title	A Novel Multi-criteria Method for Building Massing based on Energy Performance and Solar Access - The Mixed Solar Envelope (MSE) method
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 1, Ghent, 13-16 September 2022, pp. 649–658
doi	https://doi.org/10.52842/conf.ecaade.2022.1.649
summary	This paper proposes a novel multi-criteria method for building massing based on energy performance and solar access allowed to the surrounding buildings (Mixed Solar Envelope (MSE) method). We used a single thermal zone simulation-based methodology to validate the method. We applied the MSE method in a generic urban zone located in Tallinn, Estonia. Determining the building form, the designer can prioritize energy performance and/or solar access for each studied neighbor’s room, as well as the importance between studied rooms. The method allowed to generate building masses (MSEs) capable of saving up to 73% and 67% of the total annual energy consumption in office and residential rooms with window-to-wall-ratio of 80%. As a tool to negotiate between different rooms, the total annual energy savings was between 56-80% when considering a pure energy-based criterion. The annual energy savings was between 26- 30% while maximizing the annual number of sun hours when considering solar access- based criteria.
keywords	Energy Efficiency, Solar Access, Building Massing, Reverse Solar Envelope, Solar Envelope, Multi-Criteria Design, Early Design Stages, Multi-Optimization
series	eCAADe
email
last changed	2024/04/22 07:10

_id	ijac202220107
id	ijac202220107
authors	Yu Ma, Chun; Jeroen van Ameijde
year	2022
title	Adaptable modular construction systems and multi-objective optimisation strategies for mass-customised housing: A new user-driven paradigm for high-rise living in Hong Kong
source	International Journal of Architectural Computing 2022, Vol. 20 - no. 1, pp. 96–113
summary	There has been a recent increase in the exploration of ‘the discrete’ in architecture, speculating on how an integrated approach to design, fabrication, assembly and inhabitation can disrupt the traditional investment- and decision-making models in the housing industry. Strategically designed part-to-whole systems allow for differentiation and reconfiguration, and the incorporation of different end-user’ requirements. This potential of ‘democratising’ housing production requires further research into how the negotiation between multiple stakeholders’ preferences can be guided through digital methods. This paper presents a research-by-design project that applies a digital and discrete material system to high-rise housing in Hong Kong, a typology which often features high degrees of standardisation. Through the development of an adaptable modular con- struction system and a multi-objective optimisation workflow, a system is explored that addresses the challenges of high-rise construction, and of customising high-density housing. The case study project demonstrates the ability of the workflow’s evolutionary algorithm to balance complex requirements including maximising views, daylight access and internal connectivity according to diverse user requirements.
keywords	Participatory Design, Generative Design, Multi-Objective Optimisation, Adaptable Architecture, High-rise Housing, Hong Kong
series	journal
last changed	2024/04/17 14:29

_id	ecaade2022_233
id	ecaade2022_233
authors	Zhu, Zhelun, Coraglia, Ugo-Maria and Fioravanti, Antonio
year	2022
title	PASTA: Parametric Approach for Space Transplanet hAbitations - A generative powered design process for internal configurations in spaceships
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 2, Ghent, 13-16 September 2022, pp. 47–56
doi	https://doi.org/10.52842/conf.ecaade.2022.2.047
summary	This paper focuses on the Space transplanet habitations, or spaceships, that will host astronauts during their transfer to other celestial bodies. In this enterprise, the transfer phase is the most critical in resource shortages (e.g., air, water, room), making it harsh under habitability perspectives. The increasing number of involved scientific disciplines has raised difficulties in managing the design process, and the traditional design strategies have collapsed under the growth of complexities. PASTA proposes an implementation of generative design for the spaceship's internal configurations. This framework focuses on the multi-objective and performance-driven design process, allowing a designer to explore multiple layouts of a complex 'building' such as a spaceship. It encodes habitability needs in an unusual environment and estimates each configuration performance among intertwined needs, including adjacency relationships, by an evaluation system. As a result, PASTA can automate part of the spaceship design tasks and provide decision-making support by evaluating generated solutions, improving the handling of complexities in the design process.
keywords	Space Architecture, Parametric Design, Generative Design, BIM
series	eCAADe
email
last changed	2024/04/22 07:10

_id	caadria2022_54
id	caadria2022_54
authors	Zhuang, Dian and Shi, Xing
year	2022
title	Building Information Modelling based Transparent Envelope Optimization Considering Environmental Quality, Energy and Cost
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 537-546
doi	https://doi.org/10.52842/conf.caadria.2022.2.537
summary	The balance of energy consumption, indoor environmental satisfaction and cost is a continuing challenge in the field of building energy efficiency research. Building transparent envelope play a key role in building energy-saving design. While in existing BIM system, the separation of component family and local supply chain hinders the integrated performance evaluation and design. This paper proposes a general sustainable performance optimization model for transparent envelope design from the product perspective. A performance data integrated BIM technique framework, linking BIM with multi-dimension performance data stored in external database, is introduced as the foundation of local supply chain based optimization process. A multi-objective optimization model for window components is constructed for the early design stage. Three comprehensive design targets in the engineering practice, energy consumption, life cycle cost and IEQ are evaluated and optimized, representing the concern from government, developer and occupant, respectively. Autodesk Revit as the technique platform, its internal material library and adaptive component system are directly integrated for model control and feedback. An optimization tool is developed as an individual plug-in for user interaction and performance visualization. As a case study, the multi-objective optimization process is applied to design a school building in China.
keywords	BIM, multi-objective optimization, transparent envelope, sustainable performance, SDG 3, SDG 7, SDG 11, SDG 12
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	sigradi2022_47
id	sigradi2022_47
authors	Hernández, Silvia Patricia; Landenberg, Raquel; Boccolini, Sara; Nafá Waasaf, Victoria; Villafanez, Gabriela; D´Allegre, Hugo; Madussi, Lucio; Poccini, Olga
year	2022
title	User and Environment Interactive Parasol
source	Herrera, PC, Dreifuss-Serrano, C, Gómez, P, Arris-Calderon, LF, Critical Appropriations - Proceedings of the XXVI Conference of the Iberoamerican Society of Digital Graphics (SIGraDi 2022), Universidad Peruana de Ciencias Aplicadas, Lima, 7-11 November 2022 , pp. 607–616
summary	Within the framework of a research project on inmotic urban-microarchitecture in public spaces, this paper presents the results of a prototype analysis, based on ergonomic and universal access-criteria, as well as material, technical and technological requirements necessary for its construction in Córdoba (Argentina). The main objective is to increase the services provided while improving the interactions with users with disabilities or movements limitations, as well as older adults and children.
keywords	User experience, Inclusive design, Interaction, Inmotics, Parametrics microarchitecture
series	SIGraDi
email
last changed	2023/05/16 16:56

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