this post was submitted on 03 Jul 2024
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Climate - truthful information about climate, related activism and politics.

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Discussion of climate, how it is changing, activism around that, the politics, and the energy systems change we need in order to stabilize things.

As a starting point, the burning of fossil fuels, and to a lesser extent deforestation and release of methane are responsible for the warming in recent decades: Graph of temperature as observed with significant warming, and simulated without added greenhouse gases and other anthropogentic changes, which shows no significant warming

How much each change to the atmosphere has warmed the world: IPCC AR6 Figure 2 - Thee bar charts: first chart: how much each gas has warmed the world. About 1C of total warming. Second chart: about 1.5C of total warming from well-mixed greenhouse gases, offset by 0.4C of cooling from aerosols and negligible influence from changes to solar output, volcanoes, and internal variability. Third chart: about 1.25C of warming from CO2, 0.5C from methane, and a bunch more in small quantities from other gases. About 0.5C of cooling with large error bars from SO2.

Recommended actions to cut greenhouse gas emissions in the near future:

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The hunt for the most efficient heat pump in the world (arstechnica.com)
submitted 4 months ago by Oestradiolo@lemmy.blahaj.zone to c/climate@slrpnk.net
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A new generation of engineers has realized they can push heat pumps to the limit.

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[–] skuzz@discuss.tchncs.de 2 points 4 months ago* (last edited 4 months ago)

https://www.sciencedirect.com/science/article/pii/S2352484722012021

AI is the new rule 34.

Artificial intelligence (AI) models for refrigeration, heat pumps, and air conditioners have emerged in recent decades. The universal approximation accuracy and prediction performances of various AI structures like feedforward neural networks, radial basis function neural networks, adaptive neuro-fuzzy inference and recurrent neural networks are encouraging interest. ... Thus, complex multi-objective problems that require high precision solutions to optimize the cost and performance of ideal RHVAC are solved using artificial intelligence techniques (Mohanraj et al., 2012).

Granted, this is modeling, not implementation, but.