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Web-Based Visualisation Tool for Facade Design
The built environment is becoming increasingly complex with the need to optimize for factors like sustainability, energy efficiency, occupant well-being and more. This creates vast amounts of data that professionals must analyze to make informed design choices.
In architecture and urban planning today, professionals are increasingly utilizing data-driven analysis to make informed design decisions and create optimal, sustainable structures. However, comprehensively evaluating multiple design options at early stages and their complex data remains a key challenge. Conventional manual methods for design comparison are often cumbersome, while existing tools lack accessibility or user-friendliness.
Project Aim:
While Ladybug provides powerful analyzing capabilities, this tool acts as a bridge to integrate that data into broader design or decision-making processes. For example, users can visualize how daylight levels affect designs and then export or share those visualizations. For the purpose of this project a niche of daylighting analysis for parametric façade design is chosen.
The tool analysis and filters data to the user’s relevant data requirements in a more interactive, understandable, and graphical manner. Along with the datasets the tool also allows the user to upload their models (.obj) to the viewers to visualise their analysis in a visual way.
The deliberate and strategic design of the tool includes three viewers providing users with an advantage, in design analysis and evaluation. By having multiple viewers, professionals like architects, designers and urban planners can easily compare design variations side by side. This increases the user experience and simplifies the process of identifying the optimal design solutions.
Future Scope for a Web-Based Visualisation Tool for Facade Design
The future scope for this tool is promising, with several additions that can be made for further enhancement and integration into the evolving field of generative planning tools and sustainable design. Some potential directions for future development include:
1. Advanced Simulation Capabilities: Enhancing the tool's simulation capabilities by incorporating real-time weather data and dynamic environmental factors. This would allow users to perform more accurate and dynamic daylight simulations, considering
changing weather conditions.
2. Machine Learning Integration: Integrating machine learning algorithms for predictive analysis. This could enable the tool to
suggest design variations based on historical data and user preferences, further streamlining the decision-making process.
3. Collaborative Features: Adding collaborative features that enable multiple users to work on a design simultaneously, that will
allow the users for interdisciplinary collaboration among architects, engineers, and environmental consultants.
4. Integration with Building Information Modelling (BIM): Integrating with BIM software to provide a comprehensive platform for
architects and designers to analyse and visualize daylighting alongside other building parameters, such as structural integrity
and energy efficiency.
5. Energy Analysis: Expanding the tool's capabilities to perform energy analysis in conjunction with daylight analysis, allowing
users to optimize designs not only for natural light but also for energy efficiency.
6. Cloud-Based Collaboration: Implementing cloud-based collaboration features to facilitate easy sharing of designs and
analysis results among project teams, regardless of their physical location.
In summary, the future scope for this tool is to evolve into a comprehensive platform that not only simplifies daylight analysis but also integrates seamlessly with other aspects of building design and construction, while continuously embracing technological advancements to stay at the forefront of sustainable design tools.