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Products - CCT Energy Storage
"CCT Energy Storage’s innovative Thermal Energy Device (TED) is a heat battery with unique capabilities. TED can accept any form of electrical input and convert and store this energy as heat.

"This heat can be readily turned back into electrical energy on demand. TED’s ability to manage input variations, produce Base Load output, take shallow cycle input and charge and discharge simultaneously … meaning the applications are extensive."

Many more questions than answers on the web site. A few gaping questions anyone even vaguely familiar with energy conversion might ask:
What are the high and low operating temperature ranges?
What phase change material is used?
What is the heat of fusion / vaporization of the material?
What does it take to start up the process?
What is used as the heat transfer fluid?
What type of heat engine(s) are used? (Steam? Sterling? Direct thermal to electrical (e.g. thermopile))
Where is the waste heat dumped? (e.g. Is it to water, air, geothermal?)
What is the best 2-way conversion efficiency realized to date? (Ratio of electrical Joules output to electrical Joules input)
What is the smallest implementation that makes sense with the technology on-hand today? (1 kW, 10 kW, 100 kW, ...)
Can the storage media (i.e. stored energy) be transferred (like a battery or fuel) and used elsewhere from the point where it was stored?
What is the heat loss to the environment from a fully-charged system due to uninsulated paths (I.e. what is the "self discharge" rate?)
battery  energy_storage  thermodynamics  heat  enthalpy  heat_engine  Sterling  environment 
9 days ago by Tonti
What is entropy?
by Jeff Phillips (TED Ed) entropy and statistics/probability (5:19 min.)
science  chemistry  AP_chem  movies  thermodynamics  math  TED  energy 
january 2019 by MsHsi
Why Do Computers Use So Much Energy? - Scientific American Blog Network
this early work was also limited by the fact that it tried to apply equilibrium statistical physics to analyze the thermodynamics of computers. The problem is that, by definition, an equilibrium system is one whose state never changes. So whatever else they are, computers are definitely nonequilibrium systems. In fact, they are often very-far-from-equilibrium systems.

Fortunately, completely independent of this early work, there have been some major breakthroughs in the past few decades in the field of nonequilibrium statistical physics (closely related to a field called “stochastic thermodynamics”). These breakthroughs allow us to analyze all kinds of issues concerning how heat, energy, and information get transformed in nonequilibrium systems.

These analyses have provided some astonishing predictions. For example, we can now calculate the (non-zero) probability that a given nanoscale system will violate the second law, reducing its entropy, in a given time interval. (We now understand that the second law does not say that the entropy of a closed system cannot decrease, only that its expected entropy cannot decrease.)
thermodynamics  computation 
december 2018 by patrickandrews
Thermodynamics of Computation
This website is the result of a successful meeting at SFI which brought together researchers from diverse disciplines including biology, computer science, physics, bioinformatics, and chemistry to discuss overlapping interesting in thermodynamics and computation.
thermodynamics  energy  physics  energy.efficiency  computers  Research  Reference 
november 2018 by zeest
Thermodynamics of Computation
“the time is ripe to pursue a new field of science and engineering: a modern thermodynamics of computation. This would combine the resource/time tradeoffs of concern in conventional CS with the thermodynamic tradeoffs in computation that are now being revealed. In this way we should be able to develop the tools necessary both for analyzing thermodynamic costs in biological systems and for engineering next-generation computers.”
nonequilibrium  stochastic  thermodynamics  physics  mathematics  computation 
october 2018 by danhon
Why Do Computers Use So Much Energy?
I think the author accidentally flipped the sign on the 2nd law of thermodynamics (at least when I read it: " (We now understand that the second law does not say that the entropy of a closed system cannot increase, only that its expected entropy cannot increase.)")
article  editorial  thermodynamics  scientificamerican 
october 2018 by dwight
Phys. Rev. E 96, 032124 (2017) - Three faces of entropy for complex systems: Information, thermodynamics, and the maximum entropy principle
For many complex systems, which are typically history-dependent, nonergodic, and nonmultinomial, this is no longer the case. Here we show that for such processes, the three entropy concepts lead to different functional forms of entropy, which we will refer to as SEXT for extensive entropy, SIT for the source information rate in information theory, and SMEP for the entropy functional that appears in the so-called maximum entropy principle, which characterizes the most likely observable distribution functions of a system.
september 2018 by zryb

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