Methods, devices, and systems for reducing energy consumption using gamification
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Solution Overview
Problem
The increasing demand for electric vehicle charging is putting additional strain on power grids, necessitating methods to reduce peak energy consumption.
Innovation Solution
A gamification program that adjusts energy usage by receiving energy values from various sinks, determining game selections based on these values, and transmitting these selections to client devices, allowing users to make energy-reducing choices, such as adjusting thermostats or EV charging rates, to lower energy consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If electric vehicle charging demand increases, then EV charging convenience improves, but power grid load increases
Solution Approach 1:
The system implements periodic action by scheduling EV charging during off-peak hours when power demand is lower. The gaming interface encourages users to charge their vehicles during specific time windows, distributing the charging load across different periods rather than concentrating it during peak demand times, thus reducing overall grid stress while maintaining charging convenience.
Solution Approach 2:
The system applies preliminary action by pre-cooling or pre-heating homes during off-peak hours using gaming incentives. This allows HVAC systems to be adjusted in advance during low-demand periods, reducing the need for intensive cooling or heating during peak hours when EV charging also occurs, thereby preemptively managing power grid load.
2Power
If energy reduction requests are implemented, then peak demand on power grid decreases, but user comfort may be affected
Solution Approach 1:
The gaming interface serves as an intermediary that mediates between power grid demands and user comfort requirements. By translating energy conservation actions into game mechanics with rewards, the system allows users to maintain comfort during peak hours while still achieving demand reduction goals through off-peak pre-adjustments and incentivized behavior changes.
Solution Approach 2:
The system implements feedback by providing real-time gaming status updates and rewards to users who participate in demand reduction activities. This positive feedback loop encourages users to adjust their energy consumption patterns by showing immediate benefits through game progress and rewards, making the comfort trade-off more acceptable and motivating sustained participation.
3Productivity
If gamification interface is used, then user engagement in energy-saving decisions increases, but system complexity increases
Solution Approach 1:
The system applies copying by creating simplified virtual representations of energy consumption and control actions within the gaming interface. Instead of directly managing complex HVAC and EV charging systems, the gaming layer copies essential control functions into an engaging graphical format, allowing users to make energy-saving decisions through intuitive game mechanics that mirror real system operations without exposing underlying complexity.
Data Source
AI summary
Methods, systems, and devices are disclosed herein for reducing energy usage using gamification. In one embodiment, a programmatic method includes (1) receiving a first plurality of energy values associated with a first plurality of energy sinks, (2) determining a first plurality of game selections based on the first plurality of energy values, (3) transmitting the first plurality of game selections to a first client device, (4) receiving a first game selection associated with the first plurality of game selections from the first client device, (5) determining a first game status based on the first game selection, and (6) transmitting the first game status to the first client device. A first user is associated with the first client device and the first plurality of energy sinks.