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Optimising High-Rise Buildings for Self-Sufficiency in Energy Consumption and Food Production Using Artificial Intelligence: Case of Europoint Complex in Rotterdam

Ekici, B. (author), Türkcan, Okan (author), Turrin, M. (author), Sariyildiz, I.S. (author), Tasgetiren, Mehmet Fatih (author)

The increase in global population, which negatively affects energy consumption, CO2 emissions, and arable land, necessitates designing sustainable habitation alternatives. Self-sufficient high-rise buildings, which integrate (electricity) generation and efficient usage of resources with dense habitation, can be a sustainable solution for future...

journal article 2022

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Multi-zone optimisation of high-rise buildings using artificial intelligence for sustainable metropolises. Part 1: Background, methodology, setup, and machine learning results

Ekici, B. (author), Kazanasmaz, Tuğçe (author), Turrin, M. (author), Tasgetiren, Fatih (author), Sariyildiz, I.S. (author)

Designing high-rise buildings is one of the complex tasks of architecture because it involves interdisciplinary performance aspects in the conceptual phase. The necessity for sustainable high-rise buildings has increased owing to the demand for metropolises based on population growth and urbanisation trends. Although artificial intelligence (AI)...

journal article 2021

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Multi-zone optimisation of high-rise buildings using artificial intelligence for sustainable metropolises. Part 2: Optimisation problems, algorithms, results, and method validation

Ekici, B. (author), Kazanasmaz, Tugce (author), Turrin, M. (author), Tasgetiren, Fatih (author), Sariyildiz, I.S. (author)

High-rise building optimisation is becoming increasingly relevant owing to global population growth and urbanisation trends. Previous studies have demonstrated the potential of high-rise optimisation but have been focused on the use of the parameters of single floors for the entire design; thus, the differences related to the impact of the dense...

journal article 2021

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A Computational Workflow for Generating A Voxel-Based Design Approach Based on Subtractive Shading Envelopes and Attribute Information of Point Cloud Data

Alkadri, M.F. (author), De Luca, Francesco (author), Turrin, M. (author), Sariyildiz, I.S. (author)

This study proposes a voxel-based design approach based on the subtractive mechanism of shading envelopes and attributes information of point cloud data in tropical climates. In particular, the proposed method evaluates a volumetric sample of new buildings based on predefined shading performance criteria. With the support of geometric and...

journal article 2020

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An integrated approach to subtractive solar envelopes based on attribute information from point cloud data

Alkadri, M.F. (author), De Luca, Francesco (author), Turrin, M. (author), Sariyildiz, I.S. (author)

As a passive design strategy, solar envelopes play a significant role in determining building mass based on desirable sun access during a predefined period. Nowadays, advancements in the area of computational tools permit designers to develop new methods for establishing solar envelopes. However, current approaches lack an understanding of the...

journal article 2020

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Understanding Computational Methods for Solar Envelopes Based on Design Parameters, Tools, and Case Studies: A Review

Alkadri, M.F. (author), De Luca, Francesco (author), Turrin, M. (author), Sariyildiz, I.S. (author)

The increasing population density in urban areas simultaneously impacts the trend of energy consumption in building sectors and the urban heat island (UHI) effects of urban infrastructure. Accordingly, passive design strategies to create sustainable buildings play a major role in addressing these issues, while solar envelopes prove to be a...

review 2020

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Design exploration of quantitative performance and geometry typology for indoor arena based on self-organizing map and multi-layered perceptron neural network

Pan, W. (author), Sun, Y. (author), Turrin, M. (author), Louter, P.C. (author), Sariyildiz, I.S. (author)

During the early design process, simulations allow numeric assessment and 3D models allow visual inspection for qualitative criteria. However, exploring different design alternatives based on both is challenging. To support the design exploration of quantitative performance and geometry typology of various design alternatives during the early...

journal article 2020

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Dynamic and interactive re-formulation of multi-objective optimization problems for conceptual architectural design exploration

Yang, D. (author), Di Stefano, Danilo (author), Turrin, M. (author), Sariyildiz, I.S. (author), Sun, Yimin (author)

Simulation-Based Multi-Objective Optimization (SBMOO) methods are being increasingly used in conceptual architectural design. They mostly focus on the solving, rather than the re-formulation, of a Multi-Objective Optimization (MOO) problem. However, Optimization Problem Re-Formulation (Re-OPF) is necessary for treating ill-defined conceptual...

journal article 2020

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A computational workflow to analyse material properties and solar radiation of existing contexts from attribute information of point cloud data

Alkadri, M.F. (author), Turrin, M. (author), Sariyildiz, I.S. (author)

This paper investigates a prospective application of point cloud data in supporting the contextual analysis of the built environment during the conceptual design process. Often, the complexity of site information causes architects to neglect several relevant properties that may affect environmental performance analysis, especially when dealing...

journal article 2019

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Making use of Point Cloud for Generating Subtractive Solar Envelopes

Alkadri, M.F. (author), De Luca, Francesco (author), Turrin, M. (author), Sariyildiz, I.S. (author)

As a contextual and passive design strategy, solar envelopes play a great role in<br/>determining building mass based on desirable sun access during the predefined<br/>period. With the rapid evolution of digital tools, the design method of solar<br/>envelopes varies in different computational platforms. However, current<br/>approaches still lack...

conference paper 2019

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Integrating multi-functional space and long-span structure in the early design stage of indoor sports arenas by using parametric modelling and multi-objective optimization

Pan, W. (author), Turrin, M. (author), Louter, P.C. (author), Sariyildiz, I.S. (author), Sun, Yimin (author)

Indoor multi-functional sports arenas are a complex building type. Integration of the (multi-) functional space and of the large-span structure of the roof mainly determines the overall geometry of the building, and is one of the most challenging phases of the design. Several interdisciplinary numeric assessments and numerous solutions with...

journal article 2019

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A Methodology for daylight optimisation of high-rise buildings in the dense urban district using overhang length and glazing type variables with surrogate modelling

Ekici, B. (author), Kazanasmaz, Tugce (author), Turrin, M. (author), Tasgetiren, M. Fatih (author), Sariyildiz, I.S. (author)

Urbanization and population growth lead to the construction of higher buildings in the 21st century. This causes an increment on energy consumption as the amount of constructed floor areas is rising steadily. Integrating daylight performance in building design supports reducing the energy consumption and satisfying occupants’ comfort. This study...

journal article 2019

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Performative computational architecture using swarm and evolutionary optimisation: A review

Ekici, B. (author), Çubukçuoglu, C. (author), Turrin, M. (author), Sariyildiz, I.S. (author)

This study presents a systematic review and summary of performative computational architecture using swarm and evolutionary optimisation. The taxonomy for one hundred types of studies is presented herein that includes different sub-categories of performative computational architecture, such as sustainability, cost, functionality, and...

journal article 2019

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Design exploration of architectural geometries and structural performance for sports arenas based on SOM-clustering and structural performance simulation

Pan, W. (author), Sun, Yimin (author), Turrin, M. (author), Louter, P.C. (author), Sariyildiz, I.S. (author)

Indoor sports arenas are a kind of important public buildings, which require iconic architectural forms and well performing structures for the long-span roofs. Hence, during the early stage of an arena design, it is crucial for designers to define a proper building form based on integrated design exploration of both geometric typology and...

conference paper 2019

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Toward an Environmental Database: Exploring the material properties from the point cloud data of the existing environment

Alkadri, M.F. (author), Turrin, M. (author), Sariyildiz, I.S. (author)

The utilization of point cloud as a 3D laser scanning product has reached across<br/>multi-disciplines in terms of data processing, data visualization, and data<br/>analysis. This study particularly investigates further the use of typical attributes<br/>of raw point cloud data consisting of XYZ (position information), RGB (colour<br/>information...

conference paper 2018

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Integrating the Multi-Functional Space and Long-Span Structure for Sports Arena Design: A design exploration process based on design optimization and self-organizing map

Pan, W. (author), Sun, Yimin (author), Turrin, M. (author), Louter, P.C. (author), Sariyildiz, I.S. (author)

The multi-functional space of sports arena is highly related to the long-span structure. To support the integration of these two aspects, design optimization combining parametric modeling, performance simulations, and searching algorithm can be used. However, optimization is powerful in dealing with quantitative performance, but for some soft...

conference paper 2018

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Identifying the surface materials of the existing environment through point cloud data attributes

Alkadri, M.F. (author), Turrin, M. (author), Sariyildiz, I.S. (author)

The prospective application of 3D laser data scanning provides numerous possibilities for investigating environmental performances for architectural design. One of the possibilities includes the practical usability of point cloud data in examining the existing environment. Exploiting this potential would help to increase the information on...

conference paper 2018

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Multi-disciplinary and multi-objective optimization problem re-formulation in computational design exploration: A case of conceptual sports building design

Yang, D. (author), Ren, Shibo (author), Turrin, M. (author), Sariyildiz, I.S. (author), Sun, Y. (author)

The benefits of applying multi-objective optimization (MOO) in building design have been increasingly recognized in recent decades. The existing or traditional computational design optimization (CDO) approaches mostly focus on optimization problem solving (OPS), as they often conduct optimizations directly by assuming the optimization...

journal article 2018

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The use and potential applications of point clouds in simulation of solar radiation for solar access in urban contexts

Alkadri, M.F. (author), Turrin, M. (author), Sariyildiz, I.S. (author)

High-performing architecture should be designed by taking into account the mutual dependency between the new building and the local context. The performative architecture plays an important role to avert any unforeseen failures after the building has been built; particularly ones related to the microclimate impacts that affect the human comfort....

journal article 2018

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Impacts of problem scale and sampling strategy on surrogate model accuracy: An application of surrogate-based optimization in building design

Yang, D. (author), Sun, Y (author), Di Stefano, D. (author), Turrin, M. (author), Sariyildiz, I.S. (author)

Surrogate-based Optimization is a useful approach when the objective function is computationally expensive to evaluate, compared to Simulation-based Optimization. In the surrogate-based method, analytically tractable “surrogate models” (also known as “Response Surface Models — RSMs” or “metamodels”), are constructed and validated for each...

conference paper 2016