Passive performance and building form: An optimization framework for early-stage design support

Konis, Kyle; Gamas, Alejandro; Kensek, Karen

doi:10.1016/j.solener.2015.12.020

Cited by 209 publications

(100 citation statements)

References 23 publications

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“…Whereas the general statements (such as: compactness is positively corelated with building heating consumption) are valid for similar climate conditions, the importance of them in final energy consumption breakdown will differ accordingly to dozens of factors that corelate with them during the design process. That is why using the dynamic simulation tools gives designers the power to explore the tailored opportunities of energy optimisation in an early design stage [10]. When it comes to new project design, every building should be treated as individual case.…”

Section: Discussion and Resultsmentioning

confidence: 99%

Influence of building shape and orientation on heating demand: simulations for student dormitories in temperate climate conditions

Mokrzecka

2018

E3S Web Conf.

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Abstract. The aim of this paper is to investigate the impact of preliminary design decisions such as building shape and orientation on its heating demand. After analysing plans of forty student dormitories located in heating dominated climate (Dfb and Cfb), eight typical plan layouts were identified and chosen for further analysis. Eight buildings were modelled using these plans and uploaded to dynamic simulation tool, Sefaira. Buildings have the same characteristics (surface, height, thermal properties, location etc.). The next step was to rotate the buildings at 45° intervals and simulate the annual heating demand for each case. The results show that the shape influences the heating energy consumption. The difference between minimum and maximum heating demand in the chosen sample was 50%. The square -shaped buildings have advantages in terms of heating energy consumption over L, U and C-shaped buildings as well as over rectangles with different shape factor. Orientation does not substantially influence the consumption in well insulated buildings. Last step of the research was to analyse the influence of functional layout on heating energy and internal comfort in a square-shaped building.

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Section: Discussion and Resultsmentioning

confidence: 99%

Influence of building shape and orientation on heating demand: simulations for student dormitories in temperate climate conditions

Mokrzecka

2018

E3S Web Conf.

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“…The thirteen works that are referenced in Section 2.4 [25][26][27][28][29][30][31][32][33][34][35][36][37] were identified as those that present an integrated and automated procedure of computational performance-driven design optimization for specific case studies, without the manual exchange of files between different software tools or extensive custom scripting; i.e., those works that utilized parametric modeling as an organizing framework with simulation, optimization, and graphical 3D representation integrated and already available in the same software package. Therefore, works that did not fulfil all of the above criteria (such as generic optimization [38] or parametric studies [39], computational design studies without an automated optimization procedure [14,[40][41][42][43], energy consumption assessment studies, etc.)…”

Section: Review Contents and Methodologymentioning

confidence: 99%

“…Konis et al [35] applied this methodology on a 4982 m 2 (53,819 sq.ft) medium office building test case for four different urban settings and climates. Using Grasshopper, Honeybee, and Octopus they optimized the building's shape, orientation, window-to-wall ratio (WWR), and shading devices to minimize energy use intensity (EUI) and maximize spatial useful daylight illuminance (sUDI).…”

Section: Practical Examples Of Computational Performance-driven Desigmentioning

confidence: 99%

Performance Simulation Integrated in Parametric 3D Modeling as a Method for Early Stage Design Optimization—A Review

Touloupaki

Theodosiou

2017

Energies

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During the last decades, standards on building construction have risen sharply to integrate new, ambitious demands regarding energy efficiency, as well as thermal and optical comfort in the design procedure. Building simulation software assists in the accurate calculation of a hypothetical or existing building's performance on several aspects; but they are, in their vast majority, assessment-oriented, rather than focused on dynamically supporting the decision-making procedure. During the last two decades, a clear shift of design professionals and academia towards addressing performance issues from the conceptual stages of a building's design is observed. In this review, the methodology of performance-driven design optimization using computational/parametric design and optimization is presented, and the core literature available on the topic is reviewed in order to identify the current status, different approaches, obstacles, and areas of future research on the subject. The review findings confirm that there is enormous potential for the design of better-performing buildings using this technique, but there are still many obstacles to overcome and areas for future research.

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“…EUI, an index used to describe energy consumption, is defined as the energy consumed during the year per unit area [24], which is measured in kW h divided by the total floor area of the building (m 2 ). The lower the EUI values are, the more energy-efficient the building is.…”

Section: Energy Use Intensitymentioning

confidence: 99%

Simulation-Based Multiobjective Optimization of Timber-Glass Residential Buildings in Severe Cold Regions

Han

Sun

2017

Sustainability

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In the current context of increasing energy demand, timber-glass buildings will become a necessary trend in sustainable architecture in the future. Especially in severe cold zones of China, energy consumption and the visual comfort of residential buildings have attracted wide attention, and there are always trade-offs between multiple objectives. This paper aims to propose a simulation-based multiobjective optimization method to improve the daylighting, energy efficiency, and economic performance of timber-glass buildings in severe cold regions. Timber-glass building form variables have been selected as the decision variables, including building width, roof height, south and north window-to-wall ratio (WWR), window height, and orientation. A simulation-based multiobjective optimization model has been developed to optimize these performance objectives simultaneously. The results show that Daylighting Autonomy (DA) presents negative correlations with Energy Use Intensity (EUI) and total cost. Additionally, with an increase in DA, Useful Daylighting Illuminance (UDI) demonstrates a tendency of primary increase and then decrease. Using this optimization model, four building performances have been improved from the initial generation to the final generation, which proves that simulation-based multiobjective optimization is a promising approach to improve the daylighting, energy efficiency, and economic performances of timber-glass buildings in severe cold regions.

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Passive performance and building form: An optimization framework for early-stage design support

Cited by 209 publications

References 23 publications

Influence of building shape and orientation on heating demand: simulations for student dormitories in temperate climate conditions

Influence of building shape and orientation on heating demand: simulations for student dormitories in temperate climate conditions

Performance Simulation Integrated in Parametric 3D Modeling as a Method for Early Stage Design Optimization—A Review

Simulation-Based Multiobjective Optimization of Timber-Glass Residential Buildings in Severe Cold Regions

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