Methods, systems, and devices that support the reduction of energy and water consumption.
A centralized water supply system with machine learning-controlled flow rates and temperatures addresses inefficiencies in heat pumps and gas boilers, optimizing energy and water use in small-scale facilities by integrating heat pumps and electric heating elements with thermal storage.
Patent Information
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- OCTOPUS ENERGY HEATING LTD
- Filing Date
- 2024-04-24
- Publication Date
- 2026-07-02
AI Technical Summary
There is a need for alternative heat sources to replace gas combination boilers in small-scale residential and commercial facilities, as heat pumps are large, expensive, and require significant space and time to generate hot water, while existing systems waste energy and water due to inefficiencies in flow rates and temperatures.
A centralized water supply system with a control module using machine learning algorithms to manage flow rates and temperatures, incorporating heat pumps and electric heating elements, and thermal energy storage to optimize hot water delivery to multiple outlets, with sensors and processors for real-time adjustments.
Reduces energy and water consumption by optimizing hot water supply through precise temperature and flow rate control, eliminating the need for large storage tanks and reducing installation complexity and cost, while ensuring immediate hot water availability.
Smart Images

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