Latest / Mechanical Engineering Made Simple / (19) Full Throttle Physics: Chasing Efficiency in Heat Engines and Power Plants
Transcript
- 0:00Welcome back, design junkies, to Mechanical Engineering Made
- 0:02Simple. We've spent, you know, a lot of
- 0:04time on the first law conservation of energy.
- 0:08But let's be real, that's only like half the story.
- 0:11If you're actually designing power plants, just counting the
- 0:15energy isn't enough. You've really got to dig into
- 0:17the quality of that energy. How much can actually become
- 0:20useful work? Exactly.
- 0:22That's where the second law really bites, and it's what
- 0:25separates the theory from practical engineering, isn't it?
- 0:28So today we're really diving deep into the metrics that,
- 0:31well, that actually matter for designing power systems.
- 0:34We need to get past just standard thermal efficiency.
- 0:37There are two key limits we need to understand.
- 0:38First, there's rational efficiency that gives us the
- 0:41absolute best case scenario for a fuel.
- 0:43And 2nd, maximum power efficiency, which is, you know,
- 0:46the best efficiency you can expect when your engine's
- 0:48actually producing maximum power.
- 0:50OK, let's unpack this. Our mission today is basically
- 0:53to start ourselves and you from getting fooled by those
- 0:56conventional efficiency numbers, that thermal efficiency, It
- 0:59often makes the system look well, better than it really is
- 1:02because it ignores the physics of availability.
- 1:05We need something better, a benchmark that considers the
- 1:07unusable energy from the get go. So let's quickly remind
- 1:11ourselves of the standard way conventional thermal efficiency.
- 1:14That's just the network out that divided by the energy you put in
- 1:17right? Which for burning fuel is
- 1:19usually the enthalpy of reaction delta H delay.
- 1:22Right. And the big, big flaw is right
- 1:24there in the denominator using Delta H dollars One, when you
- 1:27use that, you're kind of implicitly assuming that all
- 1:31that fuel energy could theoretically become work.
- 1:34But we know from exergy, from availability concepts, that's
- 1:37just not true. Some energy is fundamentally
- 1:39unavailable because of the environment itself.
- 1:41You just can't get it. And that's where rational
- 1:44efficiency gala comes in, sometimes called second law
- 1:46efficiency, so much more. Well, honest metric, it compares
- 1:50the actual work you get to the maximum possible work you could
- 1:53ever get from that fuel. And that maximum is defined by
- 1:56the change the Gibbs function no delta G0.
- 1:59OK. The Gibbs function negative
- 2:00delta G0, that's the key. But just saying the name, can
- 2:05you break down what it actually means?
- 2:06Like conceptually? Yeah, absolutely.
- 2:09So the Gibbs function change Delta G dollars or it basically
- 2:12represents the absolute maximum network, the extra G you can
- 2:15possibly squeeze out of a chemical reaction like burning
- 2:18fuel. Think of like this.
- 2:20It starts with the total energy released, which is the enthalpy
- 2:23change Delta H dollars one, but then crucially, it subtracts off
- 2:27the part of that energy that's physically impossible to convert
- 2:30to work, no matter how good your engine is.
- 2:32And that impossible part that relates to the surroundings, the
- 2:35ambient conditions. Exactly that unavailable slice
- 2:38is determined by the dead state temperature TOI and T dollars is
- 2:42the temperature of your ultimate heat sink.
- 2:44You know, the air or river, whatever you're dumping waste
- 2:47heat into. The Gibbs calculation figures
- 2:49out the unavoidable entropy increase in the reaction,
- 2:51multiplies that by T dollars ores, and subtracts that
- 2:54product. So Delta G Yorie war represents
- 2:57the true available work potential.
- 2:58OK, so Del R is actual work divided by that true maximum
- 3:02potential work from the Gibbs function.
- 3:04Wait, let me push back a bit here based on something I read.
- 3:07If the actual numerical difference between using delta H
- 3:10dollars lower and delta G dollars for efficiency is often
- 3:13just, you know, a few percent, is it really worth the trouble
- 3:16calculating delta for a practicing engineer?
- 3:19That's a fair question. Look for maybe routine checks,
- 3:23day-to-day stuff. Perhaps the difference isn't
- 3:25huge numerically, but for fundamental design, for figuring
- 3:28out where the real potential for improvement lies, oh it's
- 3:31absolutely vital. The value of del R isn't just
- 3:34the number itself, it's the fact that it tells you the
- 3:36theoretical ceiling. If your system has a rational
- 3:39efficiency of say 60%, you know fundamentally that 40% of the
- 3:42fuels actual work potential was lost.
- 3:45Maybe through irreversible combustion, maybe heat transfer
- 3:47losses, whatever, but that 40% is your ultimate target.
- 3:51Deller tells you how high the bar truly is.
- 3:53OK, here's where it gets really interesting.
- 3:55Let's apply this put our idea to some common power cycles.
- 3:58How about we start with the Rankin cycle?
- 4:00Steam plants? Good.
- 4:01Place to start the ranking cycle has a pretty significant
- 4:06theoretical edge because it uses phase change.
- 4:09Boiling water, condensing steam. Now if you imagine a perfect
- 4:13ideal ranking cycle, totally internally reversible, no
- 4:16friction, perfect components, it can theoretically achieve a
- 4:21rational efficiency for base of $1.00. 100% wow.
- 4:25OK, 100% rational efficiency. So it gets out every single
- 4:29available jewel of work that the Gibbs functions says is
- 4:32possible. How?
- 4:34It's because the condensation step heat rejection happens
- 4:37isothermally at a constant temperature.
- 4:39Now if that constant condensing temperature happens to be
- 4:41exactly equal to the dead state temperature T dollar is going,
- 4:45then you've perfectly matched your heat rejection to the
- 4:46environment. All the available work, the
- 4:48exergy in the steam has been extracted.
- 4:50So yeah, the ideal ranking cycle becomes the benchmark, the
- 4:53absolute best you could possibly do with that fuel in those
- 4:56conditions. But the moment you have any real
- 4:58world issue like a bit of pressure drop, or maybe the
- 5:01turbine isn't perfectly efficient, or even if the
- 5:03condenser runs just a tiny bit hotter than T developers, that
- 5:06desert drops below 1.0 immediately.
- 5:08Instantly it shows you exactly where potential is being lost.
- 5:12Now let's contrast that with the jewel cycle gas turbines.
- 5:16They use a single phase fluid, usually air.
- 5:18Even an ideal jewel cycle. Again, perfect components, no
- 5:21internal losses. It can never hit and drop of
- 5:23$1.00 on. Never.
- 5:25Why not? What's the built in limitation
- 5:27there? It's fundamental thermodynamics,
- 5:29really. The heat transfer is an
- 5:31isothermal heat gets added over a range of temperatures as the
- 5:34air heats up, and crucially, it gets rejected over a range of
- 5:37temperatures as the exhaust gas cools.
- 5:39Because that exhaust leaves hot, well hotter than $2.00 anyway.
- 5:42Over a temperature gradient, the energy it dumps to the
- 5:45surroundings, even in the perfect case, still contains
- 5:48usable work potential and still has exergy.
- 5:51OK, so even if the gas turbine itself is like, perfectly made,
- 5:55the cycle's nature means it can't help but throw away some
- 5:58available work, unlike the ideal ranking.
- 6:00That's a big deal for design, isn't it?
- 6:02It inherently limits the jewel cycles maximum rational
- 6:05efficiency. Exactly.
- 6:06It pushes engineers toward things like combined cycles,
- 6:08trying to grab some of that energy from the hot exhaust.
- 6:11OK, so we've set the absolute ceiling with rational efficiency
- 6:15Tay Totter. That's the best the fuel in the
- 6:17cycle could possibly do. But you know, power plants
- 6:20aren't just about potential. They need to generate a flow of
- 6:23power, actual watts. And getting that flow, getting
- 6:26power out quickly introduces a whole new set of constraints.
- 6:30Real world physics problems. Right, this is the big reality
- 6:33check for engineers that maximum theoretical efficiency we all
- 6:36learn first. The carno efficiency thin to Max
- 6:391 TCTH da. It's basically useless for
- 6:42designing an engine that actually does something.
- 6:44It really is because to achieve that carno efficiency you need
- 6:47external reversibility, which means heat has to transfer
- 6:51across an infinitesimally small temperature difference.
- 6:54Delta T approaches 0. So if your temperature
- 6:57difference is practically 0, what's your rate of heat
- 7:00transfer? What's your?
- 7:01Power output 0. Nothing.
- 7:03It takes forever to move any heat, so the most efficient
- 7:05engine possible produces no power.
- 7:07That's yeah, that's peak thermodynamics irony, isn't it?
- 7:10Precisely so. Engineers rely on a more
- 7:13realistic model, the indoor versable heat engine.
- 7:17This model assumes the engine's insides are perfect, internally
- 7:20reversible, but it accepts that heat transfer to and from the
- 7:24engine requires A finite temperature difference.
- 7:26There has to be a real temperature gap between the hot
- 7:28reservoir and the engine's not side deep felons, and between
- 7:31the engine's cold side DDCQ 2 and the cold reservoir DCT ZOS.
- 7:36That's external irreversibility. OK, so to get power out you need
- 7:40that temperature difference. But that very difference causes
- 7:43irreversibility, which lowers efficiency.
- 7:45There's a tradeoff. So the engine has to compromise
- 7:47efficiency just to speed up the energy flow and make useful
- 7:50power. What's the sweet spot?
- 7:52What's the condition for maximum power?
- 7:54The analysis shows that maximum power output happens when the
- 7:57temperature ratio across the engine itself TPC levels, which
- 8:00is 2 to T of 11, is equal to the square root of the overall
- 8:03reservoir temperature ratio. 2 CTT Vols.
- 8:06That specific condition gives you the maximum possible power
- 8:08output. The square root, that's the key
- 8:10factor. And that leads to a different
- 8:12efficiency limit, doesn't it? The maximum power efficiency
- 8:15THP, which turns out to be $1.00.
- 8:17Minus that same square root term, THP will be all one TCTH
- 8:2112. That's the one, and let's put
- 8:23some numbers on that, like the example given.
- 8:25Say your hot source is TTH equals 1600 K and your cold sink
- 8:29is TC equals 400 K The absolute theoretical carnote limit 1400
- 8:33and 1600 dollars is CA1055 or 75 percent efficiency.
- 8:36But the maximum power efficiency T Max is 1 dollar, 400 and
- 8:40$600.00. That's $1.14 toll, which is
- 8:43$1.22. So it's only dollars and five
- 8:44cents or 50% efficiency. Wow, that's a huge drop.
- 8:48You lose a full 25 percentage points of efficiency compared to
- 8:50the theoretical Max just to get the engine to produce power at
- 8:53its fastest possible rate. You're literally sacrificing 1/3
- 8:56of your achievable efficiency just to make the engine
- 8:58practical and powerful. That's the trade off, and it's
- 9:00quite fundamental even if you try to game it by using multiple
- 9:04engines in series, like in a combined cycle.
- 9:06Stacking 2 or more indoor reversible engines between the
- 9:09same overall T dollars and T to call doesn't let you beat that
- 9:13maximum power efficiency limit for a single engine operating
- 9:16between them. The best you could do is arrange
- 9:18them so the product of their individual temperature ratios
- 9:21still hits that overall square root condition.
- 9:23The limit holds #outro. OK, so let's try and wrap this
- 9:28up. The key take away for you, the
- 9:30designer listening seems to be this.
- 9:32You really need two different efficiency measures.
- 9:34First, rational efficiency that tells you the true theoretical
- 9:39ceiling, how much work is actually available in the fuel.
- 9:42Considering the second law, it shows you the ultimate scope for
- 9:45improvement. Then you need the maximum power
- 9:47efficiency T Topei Mahlers That gives you the realistic peak
- 9:50efficiency you can hope for when you're running the engine flat
- 9:53out generating maximum useful power.
- 9:55They measure different things, and you need both to understand
- 9:58your design's potential and its practical limits.
- 10:00Absolutely. It may be one final thought to
- 10:02leave people with something provocative.
- 10:05Think about that dead state, temperature $2.00.
- 10:07We saw how crucial it is for calculating the Gibbs function,
- 10:10and thus ATAR. Now imagine you're operating the
- 10:13same power plant, burning the exact same fuel, but one day
- 10:16it's in a cold climate, low T dollars, and the next day it's
- 10:19somewhere hot, high T dollars. The actual maximum work
- 10:23potential available from that fuel Delta G dollar week is
- 10:26different in those two scenarios.
- 10:27It's higher when T dollars is lower.
- 10:29So how does that change your perspective on what constitutes
- 10:31wasted energy When the very potential of the fuel shifts
- 10:34with the environment? It's something to Mull over.
- 10:37Until the next equation design junkies, we are mechanical
- 10:39engineering made simple.