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

Ekici, Berk; Kazanasmaz, Tuğçe; Turrin, Michela; Taşgetiren, M. Fatih; Sariyildiz, I.S.

doi:10.1016/j.solener.2021.05.083

Cited by 35 publications

(16 citation statements)

References 51 publications

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“…Based on research by (Lee et al, 2019), three different ML models have been tested: Linear Regression, Random Forest Regression, and Artificial Neural Networks (ANN) (Walczak & Cerpa, 2003). In terms of accuracy and performance with outliers and extremities, ANN outperformed the other two models, and similar findings have been reported in the literature (Ekici et al, 2021;Lorenz et al, 2019;Lorenz & Jabi, 2017).…”

Section: Model Trainingmentioning

confidence: 53%

Proceedings of the 27th Conference on Computer Aided Architectural Design Research in Asia (CAADRIA) [Volume 1]

2022

CAADRIA Proceedings

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The work collected in these volumes has been produced during extraordinary circumstances, as the Covid-19 pandemic has continued to impact working and living conditions. Papers have been written, reviewed and edited throughout lockdowns, challenging family situations and health crises. The high number of submissions and quality of the papers is a testament to the resilience and strength of the CAADRIA community.The papers in this publication have been selected through a two-stage, doubleblind peer review process. All reviews and papers have been evaluated by the Paper Selection Committee. After receiving an initial 488 abstract submissions, a final set of 150 full papers has been selected for publication. We thank all authors for their contributions to the process and congratulate the accepted paper authors.The papers in these proceedings are specifically selected for their contribution to this year's conference theme, following the conference organisers' call for authors to position their work in relation to the United Nations Sustainable Development Goals (SDGs). As the world is experiencing the increasing impacts of climate change, there is an urgent need to reflect on the potential of the latest research in architecture, urbanism and construction to address these global challenges.Our special thanks go out to our more than 180 international reviewers, who volunteered their valuable time and effort. We also thank the organising team in Sydney for developing the 2022 CAADRIA Conference as a strong collaborative effort between academic institutions, industry and practice. We thank Gabriel Wurzer for his support during the proceedings' final production stage, and for facilitating their publication via the open access database CumInCAD.org. Finally, we sincerely thank the CAADRIA community for offering us the honour to serve as members of the paper selection committee for Post-Carbon, the 27 th International CAADRIA Conference 2022.

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Section: Model Trainingmentioning

confidence: 53%

Proceedings of the 27th Conference on Computer Aided Architectural Design Research in Asia (CAADRIA) [Volume 1]

2022

CAADRIA Proceedings

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“…The MUZO methodology [13,14], which consists of three main phases to optimise high-rise buildings for performance aspects related to sustainability, is considered to be the core of the methodology. The parametric high-rise model, alongside machine learning for surrogate models, computational optimisation and decision-making phases are followed to utilise the MUZO methodology to optimise the Europoint complex for self-sufficiency in food and energy as illustrated in Figure 1.…”

Section: Methodsmentioning

confidence: 99%

“…Therefore, an optimal solution for self-sufficiency in energy and food should be investigated. The multizone optimisation (MUZO) methodology, which uses artificial intelligence (AI) methods, is adopted in this research to cope with existing and proposed challenges [13,14]. Similar works, which focus on self-sufficiency in high-rises, are mentioned in Section 1.2, and the novelty of this paper is explained in Section 1.3.…”

Section: Problem Statementmentioning

confidence: 99%

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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

et al. 2022

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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 urbanisation. This paper focuses on transforming Europoint Towers in Rotterdam into self-sufficient buildings considering energy consumption and food production (lettuce crops) using artificial intelligence. Design parameters consist of the number of farming floors, shape, and the properties of the proposed façade skin that includes shading devices. Nine thousand samples are collected from various floor levels to predict self-sufficiency criteria using artificial neural networks (ANN). Optimisation problems with 117 decision variables are formulated using 45 ANN models that have very high prediction accuracies. 13 optimisation algorithms are used for an in-detail investigation of self-sufficiency at the building scale, and potential sufficiency at the neighbourhood scale. Results indicate that 100% and 43.7% self-sufficiencies could be reached for lettuce crops and electricity, respectively, for three buildings with 1800 residents. At the neighbourhood scale, lettuce production could be sufficient for 27,000 people with a decrease of self-sufficiency in terms of energy use of up to 11.6%. Consequently, this paper discusses the potentials and the improvements for self-sufficient high-rise buildings.

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“…A literature review of the most recent studies on smart windows is summarized in Table 1 . Although the majority of studies examine the influence of thermochromic [19][20][21][22][23][24][25][26], electrochromic [27][28][29][30], and gasochromic coatings [31][32][33] on building energy consumption, CO 2 emission, heading, and cooling load [34][35][36], only a few studies has focused on the photochromic coating and its application in the built environment [14][15][16][17][18]. Additionally, among studies of smart windows with photochromic coatings, the effect of such coating on occupants' visual comfort has not been adequately explored.…”

Section: Of 16mentioning

confidence: 99%

The Effect of Smart Colored Windows on Visual Performance of Buildings

2022

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The photochromic coating is a promising smart technology that provides different optical properties in response to daylight variations. The application of photochromic coatings with various colors/shades on window glass is one of the current research approaches for finding better energy saving techniques. The aim of this study was to develop a series of photochromic coatings for window glass and measure the impact of such smart technologies on occupants’ visual comfort. This paper examines the visual performance of building facades that utilize windows with different photochromic-coated glass. The visual performance data of three window types coated with nine different photochromic color shades were considered and compared to determine the best photochromic shades and window types that provide optimum visual metrics for the inside of the building. The results show that compared to no-coating glass, both the Daylight Glare Probability and the Useful Daylight Illuminance could be improved by using multi-color coatings that contain equal or different color proportions for photochromic window glass. From an energy-saving point of view, the results indicate that the windows coated with photochromic materials provide a better alternative to the no-coating window products.

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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

Cited by 35 publications

References 51 publications

Proceedings of the 27th Conference on Computer Aided Architectural Design Research in Asia (CAADRIA) [Volume 1]

Proceedings of the 27th Conference on Computer Aided Architectural Design Research in Asia (CAADRIA) [Volume 1]

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

The Effect of Smart Colored Windows on Visual Performance of Buildings

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