2022
DOI: 10.3390/su14137667
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A Study on Parametric Design Method for Optimization of Daylight in Commercial Building’s Atrium in Cold Regions

Abstract: With the development of urbanization, more and more commercial buildings are built in cities, which is resulting in a large amount of building energy consumption that threatens the ecological environment of the earth. Lighting energy in commercial buildings occupies a large proportion of consumption, and improving the quality of natural daylight in commercial atriums is of great significance for building energy efficiency as well as improving indoor comfort. This paper proposes a method for optimizing the dayl… Show more

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Cited by 23 publications
(14 citation statements)
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“…Several scholars have summarized and utilized parametric design methods for architectural light environment optimization to obtain a suitable architectural interior light environment. For instance, based on Eltaweel's review of parametric design and lighting [8,9], we conclude that current works focus on louver design [10][11][12][13], skylight design [14][15][16][17], mass and shadow study [18][19][20], window design [21][22][23][24], façade design [25][26][27][28][29][30][31], and photovoltaic design [32][33][34][35].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Several scholars have summarized and utilized parametric design methods for architectural light environment optimization to obtain a suitable architectural interior light environment. For instance, based on Eltaweel's review of parametric design and lighting [8,9], we conclude that current works focus on louver design [10][11][12][13], skylight design [14][15][16][17], mass and shadow study [18][19][20], window design [21][22][23][24], façade design [25][26][27][28][29][30][31], and photovoltaic design [32][33][34][35].…”
Section: Literature Reviewmentioning
confidence: 99%
“…High-level opening sizes, wind speed, wall-to-roof void area, with and without roof overhangs above the clerestory CFD [10] Unspecified Atrium geometry, atrium height, glass type, WWR Daylight and Energy [17] Solarium house Radiance ambient parameters Daylight [12] Office buildings Atrium height, skylight height to atrium height rate(h/H) Daylight [18] Multi-story apartment buildings Shape factor, apartment floor area, WWR, skylight area and side window area, different regions Energy [27] Hotel buildings Four atrium envelope and space characteristics of the designed alternatives, orientation Energy [22] Unspecified SAR, case study, atrium's height, skylight size CFD [28] Unspecified Atrium geometry, skylight area, building height Daylight [29] Office buildings Roof-glazing size, atrium shapes, building height CFD [30] College school Four main spaces considered Viewing [25] Office buildings WWR, window area, shading equipment Daylight and Energy [31] Unspecified Skylight Integrated Photovoltaic Daylight [13] Office buildings Height, width, length (size), glazing ratio, reflectance Daylight [32] Library AR, SAR CFD [16] Office building Atrium structure design Daylight [15] Underground commercial spaces…”
Section: Year [Ref]mentioning
confidence: 99%
“…In recent years, the growing importance of atrium design factors in relation to energy consumption and indoor environmental quality has introduced distinctive design challenges for architects [10]. Consequently, research pertaining to building atrium performance has experienced a gradual upsurge, with a predominant focus on atriums in office buildings [11][12][13][14], commercial structures [15,16], and hotel facilities [17,18]. However, there has been a relative dearth of studies addressing the performance of atriums in educational buildings, despite college teaching buildings representing a prominent category of public structures with considerable demands for thermal and daylight comfort [19].…”
Section: Introductionmentioning
confidence: 99%
“…Octopus exhibits a fast solution speed, ease of operation for multi-objective optimization problems, and integrates Pareto optimality principles with a genetic algorithm. It features a visually intuitive 3D interface for observing and selecting optimal solutions, providing insights into the convergence of the genetic algorithm [37]. Based on the solution set obtained from the Pareto front distribution graph, we employed an iterative approach to optimize the results by adjusting the number of iterations until convergence and extracting the corresponding optimal solutions.…”
Section: Genetic Algorithmmentioning
confidence: 99%