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

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

doi:10.1016/j.solener.2021.05.082

Cited by 23 publications

(14 citation statements)

References 31 publications

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“…Despite using the radial basis function, RBFopt could not perform desirable solutions that might be related to the high number of decision variables. This underlines once again an ongoing discussion for using either model-based algorithms (e.g., RBFopt) or optimisation procedures with predictive models (i.e., this paper) in architectural design [14]. The results of this paper indicated that surrogate-based optimisation algorithms are convenient to utilise in small-scale architectural design problems, whereas optimisation with surrogate models should be considered for design problems having an enormous number of design parameters.…”

mentioning

confidence: 71%

“…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%

“…Coping with the enormous number of decision variables to optimise the entire shape of high-rise buildings (existing) [14].…”

mentioning

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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mentioning

confidence: 71%

Section: Methodsmentioning

confidence: 99%

Section: Problem Statementmentioning

confidence: 99%

“…Coping with the enormous number of decision variables to optimise the entire shape of high-rise buildings (existing) [14].…”

mentioning

confidence: 99%

See 2 more Smart Citations

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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“…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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Advancing sustainable renewable energy: XGBoost algorithm for the prediction of water yield in hemispherical solar stills

Sarow,

Flayyih,

Bazerkan

et al. 2024

Discov Sustain

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The increasing demand for clean water necessitates innovative approaches to optimize water productivity through renewable energy systems. This study harnessed computer science-based algorithm to forecast the productivity of hemispherical solar stills (HSS) enhanced by various sand beds, reflectors, and a vapor extraction fan using XGBoost analysis. Initially explored was the effect of different sand types and bed heights on HSS performance, with the findings indicating that black sand, especially at a height of 1 cm combined with reflectors and a fan, markedly improved efficiency and production. An economic analysis revealed a significant reduction in water treatment costs with the optimized system. The current work extends these experimental insights through XG-Boost to predict productivity, employing evaluation metrics such as Mean Squared Error (MSE), Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), Coefficient of Variation of the Root Mean Squared Error (CVRMSE), and the determination coefficient (R2), with resulted values denoted as 0.43708%, 0.95879%, 0.2780%, 0.05290%, 12.2078%, and 0.88144% respectively. This approach significantly advances the predictability and efficiency of solar distillation systems by pressing global challenges of water scarcity and sustainability and the use of solar energy.

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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

Cited by 23 publications

References 31 publications

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

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

Advancing sustainable renewable energy: XGBoost algorithm for the prediction of water yield in hemispherical solar stills

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