Climate change presents a range of risks to human life and the environment.
Avoiding the worst effects of climate change will require meaningful,
quantifiable action to reduce reliance on energy generated from fossil fuels.
Those engaged in performance-intensive computing applications such as
PC gaming often lack the awareness and resources needed to align consumption
patterns with climate priorities.
A typical gaming rig could consume as much as 1,400 kilowatt hours per year and account for as much as 1,700 pounds of CO2 annually [1].
Gaming consumes 34 TWh/year in the U.S., emitting the same CO2 as 85 million refrigerators, or more than 5 million cars [2].
An estimated 5% of California's residential energy use is devoted to computer gaming [1]. Recent heat wave forced the state's grid operator to issue emergency alerts asking customers to curb demand [2]. California ended up relying more heavily on fossil fuel generation to meet peak demand [2].
The power consumption of a PC can vary drastically depending on what software is in use and the actions of the user. To put this into perspective, playing a resource-intensive video game like Escape from Tarkov may result in gameplay wattage equivalent to: two 65” LED TVs, six fluorescent lamps, one fridge/freezer combination, or eight DVD players [2].
Eco-feedback software that measures the carbon intensity of high-performance personal computers, using this data to educate about energy and the climate, while also nudging users toward more sustainable behaviors.
Our application will continuously record the actual electricity consumption of your personal computing device with a focus on enthusiast-level performance-intensive computing.
Our application will estimate the cost to operate your device using an average retail price from a publicly available source.
Our application will monitor publicly-available data on regional electricity generation by fuel type, as well as, use historical generation and weather data to predict periods of high renewables availability geared toward reducing your device's carbon-intensity.
Using collected data, our application will make recommendations on optimal time frames to carry out demanding tasks, estimate the carbon-intensity of individual computing tasks, track your unique CO2 footprint and reward emissions reductions over time.
Our application will provide you with information about regional electricity trends to promote more sustainable outcomes.
Our application will collect anonymized data that could be used to inform future research and policy making related to sustainable computing.