Dynamically adaptive personalized smart energy profiles
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Solution Overview
Problem
Household energy-consuming devices often require frequent adjustments to meet varying user preferences, leading to inefficient energy consumption as members enter and leave a room, resulting in significant energy wastage.
Innovation Solution
A system dynamically configures energy-consuming and producing devices based on user profiles and presence information, calculating combined settings for temperature, lighting, and other preferences using weighted averages or scaling factors to optimize energy usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual adjustments are made to meet varying user preferences, then user comfort is improved, but energy consumption increases
Solution Approach 1:
The system enables appliances to automatically adjust their operation based on detected user presence and stored preference profiles. The thermostat self-adjusts temperature settings, lighting self-regulates brightness levels, and entertainment systems self-configure based on which users are present, eliminating the need for manual adjustments while maintaining user comfort preferences.
Solution Approach 2:
The system dynamically changes operational parameters of appliances based on user presence detection. When users are detected, the system retrieves their preference profiles and adjusts parameters such as temperature, lighting intensity, and entertainment settings. When no users are present, parameters are automatically modified to energy-saving states, thus reducing energy consumption while maintaining comfort when needed.
2Adaptability or versatility
If appliances are adjusted frequently to accommodate different users, then user preferences are satisfied, but energy wastage increases
Solution Approach 1:
The system stores preference profiles for multiple users in advance, capturing their individual preferences for temperature, lighting, entertainment, and other appliance settings. When a user is detected, the system quickly retrieves and applies their pre-stored profile, eliminating the need for frequent manual adjustments and reducing the energy associated with repeated appliance cycling and user interactions.
Solution Approach 2:
The system dynamically adapts appliance settings based on real-time detection of user presence and identity. It transitions between different operational states corresponding to different user profiles, optimizing both adaptability to user preferences and energy efficiency by maintaining comfortable settings only when users are actually present.
3Ease of operation
If manual adjustment of settings is required for each user, then personalized comfort is achieved, but system complexity increases
Solution Approach 1:
The system introduces a central controller or smart home hub as an intermediary that manages multiple user profiles and coordinates adjustments across various appliances. This intermediary automatically detects user presence, retrieves appropriate preferences, and applies settings across temperature control, lighting, entertainment, and other devices, simplifying the user experience while managing system complexity centrally rather than requiring complex individual device configurations.
Data Source
AI summary
A facility employing systems, methods, and/or techniques for dynamically and adaptively configuring configurable energy consuming and producing devices (e.g., smart energy devices) based on user profiles and user presence information is disclosed. In some embodiments, the facility periodically detects the presence of users, and retrieves preference information for those users. For each of one or more configurable energy devices in the area, the facility generates a combined setting based on the preferences of each user present and adjusts the devices based on the combined settings. For example, if User A, User B, and User C are present in a room and User A's preferred temperature setting is 75° F., User B's preferred temperature setting is 68° F., and User C's preferred temperature setting is 70° F., the facility may generate a combined setting for a thermostat by taking the average value of the users in the room.