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Project Description: I am building a grant-winning digital twin for a vertical farming container. I do NOT need a generic lighting plan. I need an optical efficiency study that proves we use less energy than standard vertical farms by targeting the plant canopy geometry specifically. We have 3 zones with different canopy architectures: Zone 1 (Lettuce): Flat, horizontal canopy. Requires top-down light. Zone 2 (Herbs): Slightly taller, moderate canopy depth. Zone 3 (Strawberry): Volumetric, 3D canopy. Light MUST reach the lower foliage, not just the top. Your Task & The Engineering Challenge: Find/Use a standard .ies file: Use a generic commercial horticulture LED bar .ies file (e.g., 1m length, ~50-100W) from the internet. I do not have a proprietary file, a standard one is fine. Model the Canopy: Do NOT just calculate light hitting the floor. Model simple 3D geometric volumes representing the plant canopies (e.g., a flat box for lettuce, a wider/taller box for strawberry). Optimize Beam Angles (Crucial): For Lettuce: Test a narrow beam angle (e.g., 90°) to minimize light spill to the aisles. For Strawberry: Test wider beam angles (e.g., 120° or 150°) or tilted bars to prove light penetrates the lower canopy. Prove Energy Savings: The goal is to show that by matching the beam angle to the canopy shape, we achieve target PPFD (150-350 µmol/m²/s depending on zone) with FEWER LED fixtures than a standard setup, thereby proving electrical energy savings. Zone Containment: Show that light does not bleed into adjacent zones (using basic wall/curtain geometry in DIALux). Required Deliverables: Comparative Images: Side-by-side DIALux views (e.g., 90° vs 120° on the strawberry canopy) proving lower canopy penetration. 3D Isolines/Contour maps: Showing PPFD distribution over the 3D canopy surfaces. Energy Efficiency Table: Showing Target PPFD achieved, Number of fixtures used, and Estimated Total Wattage per zone. (This table will be fed into my digital twin dashboard). .dlx project file. Budget: $100 - $150 (Fixed Price) Duration: 5-7 Days
Project ID: 40553733
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