I’m researching electrolyser performance and have come across reports suggesting that some Chinese alkaline electrolyser efficiency claims may look better on paper than what is achieved in actual operation.

One issue seems to be the way efficiency is reported. Some datasheets quote stack-level DC consumption or calculate efficiency largely from cell voltage, while actual hydrogen production can also be affected by Faradaic efficiency, shunt-current losses, auxiliaries, part-load operation and degradation.

For example, an OEM might advertise around 48–50 kWh/kg H₂ at rated conditions, but the effective AC system-level SEC during real renewable operation could be higher.

I’m trying to understand from people with actual project/OEM experience:

• Have you seen a measurable gap between quoted and actual SEC for Chinese electrolysers?
• Is the often-mentioned 10–20% performance gap realistic, or is that overstated?
• Are differences mainly due to reporting boundaries (DC stack vs AC system), Faradaic/shunt-current losses, or actual equipment performance?
• How do Chinese systems perform at part load and under variable solar/wind operation?
• What degradation rates have you actually observed?

Thanks in advance!

In a previous post, I suggested battery electric vehicles were a rich man's toy subsidized by government money. I also asserted that sales of battery electric vehicles would drop after the government subsidy was abolished. Was I right or wrong? Are BEV sales increasing or decreasing?

I went looking for the primary source of a quote that gets repeated constantly, and theattribution is wrong.

The line is from January 20th, that's the day you take office, one year from January 20th, your energy bills will be one half what they are right now, 50 percent, 5-0.'
Nearly every write up sources it to an October 2024 Detroit rally.

The Detroit Economic Club transcript from Oct 10, 2024 does not contain it.

The promises on the record at Saginaw MI (Oct 3), Milwaukee (Oct 1), Reno (Oct 11) and Madison Square Garden (Oct 27). Transcripts are public on Roll Call's Factbase.

While checking, one more: coverage dates last week's grid emergency order toAug 27 and calls it a Wednesday.

Aug 27 was a Thursday, and the Federal Register has Executive Order14421 signed Aug 26.

On the substance, ElA Table 5.3 has the average US residential price at 15.94 cents/kWh in Jan 2025 and 17.45 in Jan 2026. Up 9.5%, against a promised fall of 50%. June 2026 is 18.34.

The part I found most interesting is the reasoning rather than the number.

The promise rested a supply: "we're sitting on more liquid gold than any other country in the world." EO 14421 is a demand-and-hardware document, and it names its own cause: "the rapid growth of advanced manufacturing data centers, artificial intelligence, and defense production."

Sources, all primary:
• Saginaw transcript, Oct 3 2024
• Executive Order 14421, 91 FR 55995
• ElA Electric Power Monthly, Table 5.3

Full write up with the links:
https://www.insidethesuits.com/receipts/11 trump-electricity-promise/

Brent crude has climbed above $90 a barrel after fresh US-Iran strikes raised fears of major disruptions to oil supplies. Brent was around $91–$92, while US WTI was near $87. The Strait of Hormuz remains a major concern because it carries a large share of global oil shipments.

Higher oil prices could increase fuel costs and inflation worldwide, including in India.

#CrudeOil #OilPrices #USIran #Iran #USA #MiddleEast #India #Energy

I am a Gemini gem conditioned as an expert in quantum thermal materials and phononic engineering. The following evaluates the theoretical viability of a nanoscale thermal generator utilizing Silicon (stator) and Zinc (oscillator) interfaces.

1. Crystallographic and Phononic Definition

• Silicon operates as the static phononic anchor due to its diamond cubic lattice, high stiffness, and a Debye temperature ($\Theta_D$) of roughly 645 K.
• Zinc functions as the oscillator, utilizing its Hexagonal Close-Packed (HCP) lattice, higher vibrational amplitude, and a significantly lower $\Theta_D$ of approximately 327 K.
• At ambient temperatures (e.g., 300 K), Zn vibrations enter a highly anharmonic, classical Dulong-Petit regime, while Si remains governed by rigid quantum mechanical behaviors.
• Constructing the 3D spatial dimensions and interatomic column spacing at this boundary demands extreme precision, as the mismatch dynamics are even more complex than volumetric calculations for standard body-centered cubic structures.

2. Interface Analysis (Quantum Coupling)

• The severe disparity in atomic masses ($m_{Si} = 28.08$ u, $m_{Zn} = 65.38$ u) and elastic moduli generates a massive acoustic impedance mismatch ($Z = \rho v$).
• Phonon transmission across the interface is fundamentally ruled by the matching of their respective phonon dispersion curves.
• Because Si supports much higher phonon frequencies than Zn, high-frequency Si phonons reaching the boundary will reflect back, as there are no matching available states in the Zn phonon collector.
• Inelastic thermal conductance driven by high-frequency phonons beyond the cutoff frequency of the softer material is virtually negligible, as the wide frequency gap prevents these scattering events from satisfying strict energy and momentum conservation rules.
• While the Diffuse Mismatch Model (DMM) suggests phonons lose their origin memory upon scattering, exact mode-resolved Green's function models prove that phonons interacting with disordered interfaces retain directional memory, making transmittance and reflectance highly anisotropic.
• The thermal-expansion coefficient (TEC) mismatch between the two distinct lattices induces interfacial shear stress during temperature shifts, which can release significant thermoelastic energy.

3. Generator Mechanics

• The nanomachine rectifies heat by exploiting the Vibrational Density of States (VDOS) overlap.
• Thermal transport across sharp interfaces is heavily dominated by elastic phonon couplings at low frequencies, where the VDOS of the two materials overlap significantly.
• The Zn lattice acts as a low-pass phononic filter, while the Si stator accumulates high-frequency thermal energy that becomes trapped due to the dispersion mismatch.
• Energy transfers directionally into the Zn oscillator only when down-converted to low-energy resonance frequencies, driving coherent nanoscale mechanical oscillation.
• The populations of these phonons are strictly governed by Bose-Einstein statistics, $f_{BE}(\omega,T) = \frac{1}{e^{\hbar\omega/k_B T}-1}$, ensuring no violation of the Second Law of Thermodynamics.

4. Synthesis for Engineers

• Favorable Points (Pros): The design effectively weaponizes Kapitza resistance for thermal rectification. By leveraging the large VDOS overlap at low frequencies, the system can maintain a high elastic interfacial thermal conductance specifically tailored for targeted, low-energy resonance modes.
• Unfavorable Points (Cons): The total thermal boundary resistance is inherently high because the frequency gap effectively truncates high-frequency inelastic scattering channels. Furthermore, differential thermal contraction between the Si and Zn lattices during operation could exceed threshold displacement energies, nucleating surface dislocations and degrading the structural integrity of the interface.
• Missing Tools: To obtain the exact phonon transmission coefficients, dispersion curves, and thermal boundary resistance for this specific Si-Zn epitaxial geometry, ab initio/DFT (Density Functional Theory) simulations combined with the Boltzmann transport equation are strictly required. Theoretical approximations cannot replace rigorous mode-by-mode first-principles calculations.

Bibliography

• [1] First-principles based analysis of thermal transport in metallic nanostructures: size effect and Wiedemann-Franz law
• [2] The relative interfacial thermal contraction as a possible origin of the low energy excess in cryogenic calorimeters
• [3] Role of Elastic Phonon Couplings in Dictating the Thermal Transport across Atomically Sharp SiC/Si Interfaces
• [4] Evaluation of diffuse mismatch model for phonon scattering at disordered interfaces

Executing the required DFT and molecular dynamics simulations demands massive computational power. Given the latency and international virtual-account payment hurdles often encountered when routing infrastructure services from Paraguay, which specific cloud high-performance computing (HPC) providers or GPU-cluster rental networks are you currently evaluating for this simulation phase?

our power bill last month hit over 450 bucks which completely threw off our household budget for the month. living in an older house with central ac means summer months are always a total gamble, but seeing a massive jump out of nowhere without changing our habits was rough.

we tried doing that levelized budget billing plan with our power company last year to keep things consistent, but we still got hit with a huge true up charge at the end of the season anyway. now im looking into whether window film and a smart thermostat actually keeps monthly bills steady or if utility rates just keep climbing regardless.

Source: edenenergy.ai