Orun Studio

BIM (Building Information Modeling) and CIM (City Information Modeling) represent cutting-edge workflows that leverage digital technology to improve the design, construction and operation of buildings and cities. These technologies revolutionize how architects, engineers, and contractors collaborate by creating data-rich 3D models that integrate multidisciplinary information. 

Applications Development in BIM/CIM

1. Automation for BIM modeling

Efficient Site Modeling : By linking topology data and contextual building attributes, city-scale modeling becomes faster and more accurate.

Seamless Interoperability : Inside technology now enable designs created in Rhino to be seamlessly converted into BIM model in Revit without duplicating efforts. This allows for real-time updates to BIM model when design evolve.

2. Low-Carbon Building Design

Collaboration with sustainable building engineers bridges architectural design with environmental objectives, helping clients meet carbon reduction targets through informed design decisions.

3. Minimizing Earthwork on polluted land

Integrating lithology, pollution, and architectural design data enables optimization of designs to minimize excavation of polluted soil, significantly reducing environmental and financial costs.

4. Digital Twins

Digital twins allows for real-time monitoring, simulation, and analysis during both construction and operation phases. The utilize of drones, cameras and sensors can provide actionable insights and improve decision-making.

5. Data visualization insights

BIM data can be translated into interactive dashboards, making it accessible for all stakeholders. This facilitates informed decision-making on aspects such as project progress, resource allocation, and 4D construction simulation.

Key Considerations and Limitations

The RE2020 environmental regulation, foreshadowed by the E+C- experiment, makes it possible to respond to the environmental challenges facing the building sector, namely, among other things, reducing the emission of greenhouse gases, which is currently rising to 23% of the total emissions of the French territory.

To assess the carbon footprint of a structure, it is necessary to carry out a life cycle analysis (LCA), a multi-step and multi-criteria environmental assessment method, from the extraction of raw materials to its processing at the end of life.

For this, two indicators must be calculated :

Ic energy: impact on climate change associated with primary energy consumption

Ic construction: impact on climate change associated with “components” and “site

How BIM company contributes to the Carbon Emission Reduction ?

For the technique part, carbon analysis data can be written into the BIM model by linking with the LCA database in collaboration with the environmental engineer team.

Contexte

Dans le domaine de l’architecture et de l’urbanisme, maîtriser les coûts liés aux déblais et remblais dès les premières phases de conception est essentiel, notamment pour les terrains pollués. Des stratégies efficaces à ce stade peuvent réduire considérablement les coût du projet.

Grâce à la programmation visuelle, il est possible de développer des solutions performantes qui tiennent compte des profondeurs variables des lithologies polluées tout en respectant les réglementations urbaines strictes.

Principaux avantagesParamétrisationLe processus de calcul des volumes est entièrement paramétré, permettant des mises à jour rapides lors des modifications des données architecturales ou environnementales.Comparaison en temps réelLes décideurs peuvent ajuster instantanément la hauteur du bâtiment et comparer les résultats avec les calculs précédents, facilitant ainsi l’identification de la hauteur optimale pour minimiser les coûts des travaux de terrassement et décontamination des sols.

Computational design is an innovative approach that combines algorithms and parameters to solve complex design problems through advanced computer processing. This method enhances creativity, efficiency, and precision in architectural projects.

Applications in Architecture Project

1. Design Optimal Solutions

Exploring New Options : Parametric design processes can uncover novel design possibilities.

Performance analysis : Algorithm-based simulations optimize designs for enhanced comfort, reduce energy consumption, and meet specific goals.

2. Automating Repetitive Tasks

Efficient Modeling : Visual programming allows designers to integrate diverse data inputs into the modeling process

Easy Adjustments : Simple modifications can be made to refine designs and streamline improvements.

3. Enhancing Multi-Expertise Collaboration

Data-Driven Workflows : Algorithm-based workflows enable seamless collaboration across teams by standardizing and sharing data

HENRI IV BRIDGE BUILDING, 5200m2 (Paris) - Competition, SD, DD

For the footbridge competition across the Seine in Paris, my role at Echoes.Paris involved designing the dynamic shading device on the façade. 

Recognizing the diverse daylight conditions and complex spatial contexts, I devised a dynamic shading system integrated with PV panels for the entire façade. This approach aims to ensure suitable indoor daylight conditions and picturesque views across various spaces. Additionally, by fully closing the shading device in the evening, the white fabric material doubles as a screen for light projection. The concept is to create a multi-functional space under the bridge. In consideration of daylight, view, energy use, the façade is fully glazed.

Softwares: Rhino, Grasshopper, Ladybug+Honeybee, Radiance, Openstudio