Challenge Owner(s) | Panasonic |
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Organiser(s) | Panasonic |
Industry Type(s) |
Environmental Services, Infrastructure, Real Estate, Urban Solutions
|
Opportunities and Support | Opportunities range from co-innovation, licensing and white labelling with challenge statement owners |
Application Start Date | 15 March 2023 |
Application End Date | 15 May 2023 |
Website | Click here to learn more |
About Challenge
Crowdsourcing @ Panasonic is a dedicated open innovation platform for Panasonic Corporation to engage the innovation communities and seek technology solutions and partnerships to solve business challenges.Learn More
Challenge Owner(s) | Panasonic |
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Industry Types(s) | Environmental Services, Infrastructure, Real Estate, Urban Solutions |
Seeking Solution to Improve and Optimise Simulation Tools for Planning, Designing, and Optimising Building Space for Comfort and Energy Savings
The Electric Works Company of Panasonic Corporation is opening a crowdsourcing call looking for innovative and effective ways to improve and optimise simulation tools for planning, designing, and optimising building space for comfort and energy savings. The goal is to make these tools more accessible and user-friendly for architects, engineers, and other professionals involved in building design and construction. The current method using computational fluid dynamics (CFD) simulation consumes too much data and is time-consuming, resulting in a significant amount of computational time (~10 hours / 1000m2 at steady-state analysis conditions).
Key challenges to be addressed include:
• Improving the accuracy and reliability of simulation tools to better predict energy consumption and indoor comfort.
• Developing more user-friendly interfaces that make it easier to input and analyse data.
• Creating tools that allow users to compare and evaluate design options quickly and easily.
• Enhancing the visualization capabilities of simulation tools to improve communication and collaboration among project stakeholders.
• Creating tools that can be integrated into existing design software and workflows.
What We Are Looking For
Proposed solutions should consider the needs of users and address the challenges identified above. Successful solutions should demonstrate the potential to significantly improve the performance of simulation tools and accelerate the development of more energy-efficient and comfortable buildings through spatial distribution prediction and optimisation using computer-aided engineering (CAE) analysis.
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Challenge Owner(s) | Panasonic |
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Industry Types(s) | Environmental Services, Infrastructure, Real Estate, Urban Solutions |
Seeking Solution to Develop a Digital Twin that Accurately Predicts and Optimizes Building Operations and Management Using Real-time Data Analysis
The Electric Works Company of Panasonic Corporation is seeking innovative and effective ways to develop a digital twin that accurately predicts and optimizes building operations and management using real-time data analysis. Current building management systems rely on reactive maintenance, leading to unexpected downtime and high maintenance costs. The aim is to create a digital twin that can model building operations accurately and predict issues before they occur to reduce downtime and maintenance costs while improving overall building performance.
Key challenges to be addressed include:
• Developing a digital twin that accurately models building systems and operations in real-time.
• Creating a user-friendly interface that allows building managers and operators to easily input and analyse data.
• Developing predictive algorithms that can anticipate and prevent potential issues before they occur.
• Enhancing the visualization capabilities of digital twins to improve communication and collaboration among project stakeholders.
• Creating tools that can be integrated into existing building management software and workflows (tools or the modules should be operated on the cloud system).
What We Are Looking For
The proposed solutions should aim to improve the accuracy, speed, and usability of digital twins for building operations and management considering the needs of users and address the challenges. Successful solutions should demonstrate the potential to significantly improve the performance of building operations and maintenance, reduce downtime and maintenance costs, and improve the overall efficiency and sustainability of buildings.
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