Decision support for energy efficiency investments derisking
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Updated
Feb 14, 2024 - Jupyter Notebook
Decision support for energy efficiency investments derisking
An audit to improve energy efficiency around the home by identifying key sources of energy loss.
This project optimizes energy consumption using the Knapsack algorithm. It selects the most efficient combination of electrical appliances based on their power consumption and daily usage, ensuring maximum power usage within specified energy limits. Ideal for households and businesses aiming to minimize energy consumption while maximizing utility.
Open-source iOS home energy assessment tool. Scan rooms with LiDAR, photograph equipment for OCR efficiency analysis, get tiered upgrade recommendations (Good/Better/Best) with payback periods, tax credits, and battery synergy insights. Built on ACCA Manual J and ASHRAE standards.
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