"As heat engines grew more efficient, humanity consumed more fossil fuels."
@blair_fix wrote about efficiency as a catalyst for technological sprawl: https://economicsfromthetopdown.com/2024/05/18/a-tour-of-the-jevons-paradox-how-energy-efficiency-backfires/#fig-world-jevons @climate
#tech #sprawl #efficiency #rebound #ReboundEffect #industry #electricity #data #oilAndGas #sustainability #engines #statistics #GHG #emissions #co2emissions
"When examining the entire life cycle, autonomous #electricVehicles might emit 8% more #GHG on average compared to nonautonomous electric vehicles. To address this, we suggest:
(1) cleaner and more efficient #manufacturing technologies,
(2) ongoing fuel #efficiency improvements in autonomous driving;
(3) renewable energy adoption for charging, and
(4) circular economy initiatives targeting the complete life cycle."
Autonomous electric vehicles reduce operational emissions but increase manufacturing emissions due to rebound effects. Recycling helps, but their full life cycle emits 8% more greenhouse gases. Embrace renewable energy, circular economy, cleaner manufacturing, and improved efficiency.
The more we can deliver, the more resources we consume.
Animals "use efficiency to catalyze sprawl. […] The road to degrowth will require drastic social change."
@blair_fix wrote: https://economicsfromthetopdown.com/2024/05/18/a-tour-of-the-jevons-paradox-how-energy-efficiency-backfires/ 🧵
#constraints #socialEngineering #tech #sprawl #efficiency #rebound #ReboundEffect #industry #electricity #data #dataViz #sustainability #engines #statistics #GHG #emissions #co2 #co2emissions #JevonsParadox #renewables #renewableEnergy #degrowth #electricVehicles #infrastructure
Most striking is the steep and steady rise of solar and wind energies. It disapppoints three times:
1. Solar and wind are on a trend to never catch up on coal, oil or gas.
2. Solar and wind make no impact on the stability of the consumption of coal, oil or gas.
3. Solar and wind energies make no impact on the stability of emissions of greenhouse gases.
It is as if #renewables did not address climate change.
#electricity #sustainability #engines #emissions #co2 #carbon #renewableEnergy #EVs
"It is not uncommon for an analyst to conduct a supervised analysis of data to detect which predictors are significantly associated with the outcome. These significant predictors are then used in a visualization (such as a heat map or cluster analysis) on the same data. Not surprisingly, the visualization reliably demonstrates clear patterns between the outcomes and predictors and appears to provide evidence of their importance. However, since the same data are shown, the visualization is essentially cherry picking the results that are only true for these data and which are unlikely to generalize to new data."
Wrote Max Kuhn and Kjell Johnson, 2019, in "Feature Engineering and Selection: A Practical Approach for Predictive Models" https://bookdown.org/max/FES/
#correlations #NoFreeLunch #electricity #agriculture #livestock #renewables #dataViz #emissions #GHG #methane #GreenhouseForcing #dataScience #featureEngineering #correlation
Eric Maugendre
kali
Eric Maugendre