Search results for: โinternetโ
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Internet energy consumption: data, models, forecasts?
This data-file forecasts the energy consumption of the internet, rising from 800 TWH in 2022 to 2,000 TWH in 2030 and 3,750 TWH by 2050. The main driver is the energy consumption of AI, plus blockchains, rising traffic, and offset by rising efficiency. Input assumptions to the model can be flexed. Underlying data are from…
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What is the energy consumption of the internet?
Powering the internet consumed 800 TWH of electricity in 2022, as 5bn users generated 4.7 Zettabytes of traffic. Our guess is that the internetโs energy demands double by 2030, including due to AI (e.g., ChatGPT), adding 1% upside to global energy and 2.5% to global electricity demand. This 13-page note aims to break down the…
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Energy intensity of fiber optic cables?
What is the energy intensity of fiber optic cables? Our best estimate is that moving each GB of internet traffic through the fixed network requires 40Wh/GB of energy, across 20 hops, spanning 800km and requiring an average of 0.05 Wh/GB/km. Generally, long-distance transmission is 1-2 orders of magnitude more energy efficient than short-distance.
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Domestic travel miles: by purpose, vehicles and demographics
Global oil demand is going through an unprecedented disruption. In the short-term, this is due to COVID-19. In the long-term, it is due to the rise of the internet and the energy transition. To contextualise how demand will change, we have aggregated granular data on travel-miles in the US and the UK.
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Data-centers: electricity use and demand shifting?
This data-file estimates data-centers’ electricity use and ability to demand shift. Large data centers how power demand in the range of 50-500MW. Around 40% of their electrical loads can demand shift, to help smooth out the volatility of renewables?
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Semiconductors: outlook in energy transition?
Semiconductors are an energy technology. And they are transforming the future global energy complex, across AI, solar, electric vehicles, LEDs and other new energies. This short article summarizes our outlook for semiconductors in energy transition, and resultant opportunities across our work.
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Super-Computers at Oil Majors?
This data-file tabulates super-computing capacity possessed by leading companies in the energy industry. Computing capacity has risen 4x since 2016, and 70x since 2009. Main uses are seismic interpretation, reservoir modelling and for operational decision-making, which all increases efficiency. Leading companies are identified in the data-file.
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Data-centers: the economics?
The capex costs of data-centers are typically $10M/MW, with opex costs dominated by maintenance (c40%), electricity (c15-25%), labor, water, G&A and other. A 30MW data-center must generate $100M of revenues for a 10% IRR, while an AI data-center in 2024 may need to charge $5/EFLOP of compute.
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Thermoelectrics: leading companies and products?
Thermoelectric devices convert heat directly into electricity, or conversely provide localized cooling/heating by absorbing electricity. This data-file screens leading companies in thermoelectrics, their product specifications, applications and underlying calculations for thermoelectric efficiency.
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