Oct 31, 2024 · 49m · catalyst

Why climate tech startups get this one thing wrong

Shayle Kann · 20m spoken Dr. Greg Thiel · 12m spoken Dr. Melissa Ball · 9m spoken Stephen Lacey · 2m spoken
0:00 / 0:00

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Shayle Kann and Energy Impact Partners' technical diligence team examine the fundamentals of Techno-Economic Analysis (TEA) for climate tech startups, outlining five common modeling pitfalls founders must avoid to build viable commercial enterprises.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Shayle holds 44.2% of the talking time here. How this is scored →

Shayle as informed peer 6.4 Guest teaching 3.0 Guest disagreement 0.6 Shayle pushing back 0.9
05100:0015:0030:0045:003:14–5:43 · Shayle as informed peer 0/10 Introducing EIP's Tech Diligence Team and TEA Segment 1 is an uninterrupted host monologue introducing the Frontier Fund, Energy Impact Partners' technical diligence team, and the purpose of TEA in climate tech diligence. As a solo monologue, host interaction metrics are scored at zero.5:44–9:15 · Shayle as informed peer 6/10 The Fundamentals and Purpose of Techno-Economic Analysis The conversation is highly collaborative between colleagues. Greg defines TEA as a roadmap for finding sensitivities, while Shayle articulates how early-stage modeling quantifies the necessary 'magical thinking'. Melissa expands on how non-engineering founders like chemists often need TEA frameworks demystified.9:15–20:38 · Shayle as informed peer 8/10 Pitfall 1: Unreasonable Assumptions and Input Costs The hosts and guests dissect flawed input assumptions. Melissa highlights the unrealistic assumption of 2-cent 24/7 renewable power, which Shayle expands with delivered electricity pricing versus LCOE. Melissa teaches the hidden purification costs of organic molecules compared to ethylene, and Greg breaks down the illusion of 'free waste heat'.20:40–27:20 · Shayle as informed peer 7/10 Pitfall 2: Component-Level Optimization vs. Full-System Costs The team discusses component versus system optimization. Shayle provides the example of utility-scale solar where hardware is dwarfed by soft costs and balance of plant. Melissa illustrates modular ammonia reactors where hydrogen and nitrogen balance of plant dominate costs, while Greg shares drivetrain efficiency trades.27:23–36:49 · Shayle as informed peer 8/10 Sponsor Message: Bloom Energy Fast-Deploy Clean Power Following the sponsor break, the discussion focuses on apples-to-oranges comparisons and dynamic baselines. Shayle details commodity floor pricing and cites the historical collapse of thin-film solar against crystalline silicon, prompting Greg to explain why new battery tech must target 2035 LFP installed costs ($100-150/kWh) rather than today's benchmarks.36:49–42:22 · Shayle as informed peer 8/10 Pitfall 4: Solving the Wrong Problems and Over-Optimizing Single Metrics Greg discusses over-optimizing single metrics like methanol conversion pass rates. Shayle offers sharp domain examples across agricultural robotics weeding speed and mining extraction kinetics versus downstream facility integration.42:23–48:09 · Shayle as informed peer 8/10 Pitfall 5: False Precision and Modeling Theater Shayle raises the pitfall of false precision and modeling theater at the seed stage. Melissa and Greg agree on treating TEA as a living document, and Shayle neatly synthesizes the three core purposes of early-stage modeling: squint test, sensitivities, and critical path.3:14–5:43 · Guest teaching 0/10 Introducing EIP's Tech Diligence Team and TEA Segment 1 is an uninterrupted host monologue introducing the Frontier Fund, Energy Impact Partners' technical diligence team, and the purpose of TEA in climate tech diligence. As a solo monologue, host interaction metrics are scored at zero.5:44–9:15 · Guest teaching 4/10 The Fundamentals and Purpose of Techno-Economic Analysis The conversation is highly collaborative between colleagues. Greg defines TEA as a roadmap for finding sensitivities, while Shayle articulates how early-stage modeling quantifies the necessary 'magical thinking'. Melissa expands on how non-engineering founders like chemists often need TEA frameworks demystified.9:15–20:38 · Guest teaching 4/10 Pitfall 1: Unreasonable Assumptions and Input Costs The hosts and guests dissect flawed input assumptions. Melissa highlights the unrealistic assumption of 2-cent 24/7 renewable power, which Shayle expands with delivered electricity pricing versus LCOE. Melissa teaches the hidden purification costs of organic molecules compared to ethylene, and Greg breaks down the illusion of 'free waste heat'.20:40–27:20 · Guest teaching 4/10 Pitfall 2: Component-Level Optimization vs. Full-System Costs The team discusses component versus system optimization. Shayle provides the example of utility-scale solar where hardware is dwarfed by soft costs and balance of plant. Melissa illustrates modular ammonia reactors where hydrogen and nitrogen balance of plant dominate costs, while Greg shares drivetrain efficiency trades.27:23–36:49 · Guest teaching 4/10 Sponsor Message: Bloom Energy Fast-Deploy Clean Power Following the sponsor break, the discussion focuses on apples-to-oranges comparisons and dynamic baselines. Shayle details commodity floor pricing and cites the historical collapse of thin-film solar against crystalline silicon, prompting Greg to explain why new battery tech must target 2035 LFP installed costs ($100-150/kWh) rather than today's benchmarks.36:49–42:22 · Guest teaching 3/10 Pitfall 4: Solving the Wrong Problems and Over-Optimizing Single Metrics Greg discusses over-optimizing single metrics like methanol conversion pass rates. Shayle offers sharp domain examples across agricultural robotics weeding speed and mining extraction kinetics versus downstream facility integration.42:23–48:09 · Guest teaching 2/10 Pitfall 5: False Precision and Modeling Theater Shayle raises the pitfall of false precision and modeling theater at the seed stage. Melissa and Greg agree on treating TEA as a living document, and Shayle neatly synthesizes the three core purposes of early-stage modeling: squint test, sensitivities, and critical path.3:14–5:43 · Guest disagreement 0/10 Introducing EIP's Tech Diligence Team and TEA Segment 1 is an uninterrupted host monologue introducing the Frontier Fund, Energy Impact Partners' technical diligence team, and the purpose of TEA in climate tech diligence. As a solo monologue, host interaction metrics are scored at zero.5:44–9:15 · Guest disagreement 1/10 The Fundamentals and Purpose of Techno-Economic Analysis The conversation is highly collaborative between colleagues. Greg defines TEA as a roadmap for finding sensitivities, while Shayle articulates how early-stage modeling quantifies the necessary 'magical thinking'. Melissa expands on how non-engineering founders like chemists often need TEA frameworks demystified.9:15–20:38 · Guest disagreement 1/10 Pitfall 1: Unreasonable Assumptions and Input Costs The hosts and guests dissect flawed input assumptions. Melissa highlights the unrealistic assumption of 2-cent 24/7 renewable power, which Shayle expands with delivered electricity pricing versus LCOE. Melissa teaches the hidden purification costs of organic molecules compared to ethylene, and Greg breaks down the illusion of 'free waste heat'.20:40–27:20 · Guest disagreement 0/10 Pitfall 2: Component-Level Optimization vs. Full-System Costs The team discusses component versus system optimization. Shayle provides the example of utility-scale solar where hardware is dwarfed by soft costs and balance of plant. Melissa illustrates modular ammonia reactors where hydrogen and nitrogen balance of plant dominate costs, while Greg shares drivetrain efficiency trades.27:23–36:49 · Guest disagreement 1/10 Sponsor Message: Bloom Energy Fast-Deploy Clean Power Following the sponsor break, the discussion focuses on apples-to-oranges comparisons and dynamic baselines. Shayle details commodity floor pricing and cites the historical collapse of thin-film solar against crystalline silicon, prompting Greg to explain why new battery tech must target 2035 LFP installed costs ($100-150/kWh) rather than today's benchmarks.36:49–42:22 · Guest disagreement 1/10 Pitfall 4: Solving the Wrong Problems and Over-Optimizing Single Metrics Greg discusses over-optimizing single metrics like methanol conversion pass rates. Shayle offers sharp domain examples across agricultural robotics weeding speed and mining extraction kinetics versus downstream facility integration.42:23–48:09 · Guest disagreement 0/10 Pitfall 5: False Precision and Modeling Theater Shayle raises the pitfall of false precision and modeling theater at the seed stage. Melissa and Greg agree on treating TEA as a living document, and Shayle neatly synthesizes the three core purposes of early-stage modeling: squint test, sensitivities, and critical path.3:14–5:43 · Shayle pushing back 0/10 Introducing EIP's Tech Diligence Team and TEA Segment 1 is an uninterrupted host monologue introducing the Frontier Fund, Energy Impact Partners' technical diligence team, and the purpose of TEA in climate tech diligence. As a solo monologue, host interaction metrics are scored at zero.5:44–9:15 · Shayle pushing back 0/10 The Fundamentals and Purpose of Techno-Economic Analysis The conversation is highly collaborative between colleagues. Greg defines TEA as a roadmap for finding sensitivities, while Shayle articulates how early-stage modeling quantifies the necessary 'magical thinking'. Melissa expands on how non-engineering founders like chemists often need TEA frameworks demystified.9:15–20:38 · Shayle pushing back 2/10 Pitfall 1: Unreasonable Assumptions and Input Costs The hosts and guests dissect flawed input assumptions. Melissa highlights the unrealistic assumption of 2-cent 24/7 renewable power, which Shayle expands with delivered electricity pricing versus LCOE. Melissa teaches the hidden purification costs of organic molecules compared to ethylene, and Greg breaks down the illusion of 'free waste heat'.20:40–27:20 · Shayle pushing back 1/10 Pitfall 2: Component-Level Optimization vs. Full-System Costs The team discusses component versus system optimization. Shayle provides the example of utility-scale solar where hardware is dwarfed by soft costs and balance of plant. Melissa illustrates modular ammonia reactors where hydrogen and nitrogen balance of plant dominate costs, while Greg shares drivetrain efficiency trades.27:23–36:49 · Shayle pushing back 1/10 Sponsor Message: Bloom Energy Fast-Deploy Clean Power Following the sponsor break, the discussion focuses on apples-to-oranges comparisons and dynamic baselines. Shayle details commodity floor pricing and cites the historical collapse of thin-film solar against crystalline silicon, prompting Greg to explain why new battery tech must target 2035 LFP installed costs ($100-150/kWh) rather than today's benchmarks.36:49–42:22 · Shayle pushing back 1/10 Pitfall 4: Solving the Wrong Problems and Over-Optimizing Single Metrics Greg discusses over-optimizing single metrics like methanol conversion pass rates. Shayle offers sharp domain examples across agricultural robotics weeding speed and mining extraction kinetics versus downstream facility integration.42:23–48:09 · Shayle pushing back 1/10 Pitfall 5: False Precision and Modeling Theater Shayle raises the pitfall of false precision and modeling theater at the seed stage. Melissa and Greg agree on treating TEA as a living document, and Shayle neatly synthesizes the three core purposes of early-stage modeling: squint test, sensitivities, and critical path.

speaking balance: gold is Shayle, purple is the guest (3 minute bins)

0:00 · Shayle 5.3% · guest 94.7%0:00 · Shayle 5.3% · guest 94.7%3:00 · Shayle 93.4% · guest 6.6%3:00 · Shayle 93.4% · guest 6.6%6:00 · Shayle 38.8% · guest 61.2%6:00 · Shayle 38.8% · guest 61.2%9:00 · Shayle 25% · guest 75%9:00 · Shayle 25% · guest 75%12:00 · Shayle 58.6% · guest 41.4%12:00 · Shayle 58.6% · guest 41.4%15:00 · Shayle 29.1% · guest 70.9%15:00 · Shayle 29.1% · guest 70.9%18:00 · Shayle 48% · guest 52%18:00 · Shayle 48% · guest 52%21:00 · Shayle 52.4% · guest 47.6%21:00 · Shayle 52.4% · guest 47.6%24:00 · Shayle 25.1% · guest 74.9%24:00 · Shayle 25.1% · guest 74.9%27:00 · Shayle 26.3% · guest 73.7%27:00 · Shayle 26.3% · guest 73.7%30:00 · Shayle 73.4% · guest 26.6%30:00 · Shayle 73.4% · guest 26.6%33:00 · Shayle 27.4% · guest 72.6%33:00 · Shayle 27.4% · guest 72.6%36:00 · Shayle 8.2% · guest 91.8%36:00 · Shayle 8.2% · guest 91.8%39:00 · Shayle 61% · guest 39%39:00 · Shayle 61% · guest 39%42:00 · Shayle 49.6% · guest 50.4%42:00 · Shayle 49.6% · guest 50.4%45:00 · Shayle 61.4% · guest 38.6%45:00 · Shayle 61.4% · guest 38.6%48:00 · Shayle 94% · guest 6%48:00 · Shayle 94% · guest 6%
Sharpest disagreement ▶ 16:08 Greg rejects the industry trope of free waste heat

In a very collegial episode, Greg's strongest push is his direct attack on the common TEA assumption of free waste heat, arguing the heat-exchanger integration CapEx almost always negates the thermodynamic benefit.

Hardest push from Shayle ▶ 18:38 Shayle presses for concrete e-fuel input cost numbers

Shayle directly challenges the guests to pin down realistic numerical thresholds for hydrogen and CO2 input costs in synthetic aviation fuels rather than relying on vague future cost declines.

Biggest teaching moment ▶ 14:18 Melissa deconstructs the organic molecule cost myth

Melissa educates listeners on chemical reality, explaining that organic redox flow molecules carry high purification costs and must approach the cost of ethylene ($1/kg) to realistically compete against LFP or vanadium.

Shayle holds their own ▶ 31:53 Shayle details thin-film solar cost curve failure

Shayle demonstrates deep market expertise by recounting how late-2000s thin-film startups failed because they benchmarked against static silicon prices instead of anticipating the dramatic decline in crystalline silicon cost floors.

the scores for every segment, with the reasoning behind each
ChapterTopicShayle as informed peerGuest teachingGuest disagreementShayle pushing backWhy
Introducing EIP's Tech Diligence Team and TEA 0000 Segment 1 is an uninterrupted host monologue introducing the Frontier Fund, Energy Impact Partners' technical diligence team, and the purpose of TEA in climate tech diligence. As a solo monologue, host interaction metrics are scored at zero.
The Fundamentals and Purpose of Techno-Economic Analysis 6410 The conversation is highly collaborative between colleagues. Greg defines TEA as a roadmap for finding sensitivities, while Shayle articulates how early-stage modeling quantifies the necessary 'magical thinking'. Melissa expands on how non-engineering founders like chemists often need TEA frameworks demystified.
Pitfall 1: Unreasonable Assumptions and Input Costs 8412 The hosts and guests dissect flawed input assumptions. Melissa highlights the unrealistic assumption of 2-cent 24/7 renewable power, which Shayle expands with delivered electricity pricing versus LCOE. Melissa teaches the hidden purification costs of organic molecules compared to ethylene, and Greg breaks down the illusion of 'free waste heat'.
Pitfall 2: Component-Level Optimization vs. Full-System Costs 7401 The team discusses component versus system optimization. Shayle provides the example of utility-scale solar where hardware is dwarfed by soft costs and balance of plant. Melissa illustrates modular ammonia reactors where hydrogen and nitrogen balance of plant dominate costs, while Greg shares drivetrain efficiency trades.
Sponsor Message: Bloom Energy Fast-Deploy Clean Power 8411 Following the sponsor break, the discussion focuses on apples-to-oranges comparisons and dynamic baselines. Shayle details commodity floor pricing and cites the historical collapse of thin-film solar against crystalline silicon, prompting Greg to explain why new battery tech must target 2035 LFP installed costs ($100-150/kWh) rather than today's benchmarks.
Pitfall 4: Solving the Wrong Problems and Over-Optimizing Single Metrics 8311 Greg discusses over-optimizing single metrics like methanol conversion pass rates. Shayle offers sharp domain examples across agricultural robotics weeding speed and mining extraction kinetics versus downstream facility integration.
Pitfall 5: False Precision and Modeling Theater 8201 Shayle raises the pitfall of false precision and modeling theater at the seed stage. Melissa and Greg agree on treating TEA as a living document, and Shayle neatly synthesizes the three core purposes of early-stage modeling: squint test, sensitivities, and critical path.

Statements from this episode (13)

Opinion
Kann: Climate tech TEA modeling is often done poorly, even by veterans
“And we think it is often done poorly, even sometimes by very experienced entrepreneurs.”
Shayle Kann Oct 31, 2024 ▶ 5:05
Insight
Ball: Green tech startups falsely assume two-cent renewable power at 100% capacity
“If you're going to be in climate tech, you want to be green, and so you're almost certainly tethering yourself to a renewable source, which means your capacity factor isn't going to be a hundred percent. So it's kind of like having your cake and eating it, too…”
Dr. Melissa Ball Oct 31, 2024 ▶ 11:30
Insight
Thiel: Synthetic fuels require $1/kg hydrogen and $100–$200/ton CO2
“And you know that, you know, for a fuel, if you want to get anywhere close to economically competitive, you know, subsidies decide you have to have hydrogen that's going to be on the order of a dollar per kilogram, and you have to have CO two that's in that 10…”
Dr. Greg Thiel Oct 31, 2024 ▶ 19:06
Insight
Kann: Founders should confine magical thinking to technology leaps, not input costs
“So try to isolate your magical thinking to the technology leap that you need to take in the first place, because that is within your control much more so than the inputs that you're gonna get.”
Shayle Kann Oct 31, 2024 ▶ 20:28
Insight
Thiel: Facility installation costs are typically two to four times core equipment
“Thinking about sort of a chemical or a fuel synthesis type process, the core equipment, you know, might only, or the total installed cost of a facility might be two, three, four, even more times the cost of the core componentry itself, and so if you end up foc…”
Dr. Greg Thiel Oct 31, 2024 ▶ 21:29
Assertion Supported
Kann: Solar modules are now a minority of utility-scale project costs
“In utility scale solar, you know, the module is a minority share of the overall project cost. And so most of the costs now fall into a combination of the balance of systems and then increasingly not the hardware, right? It's labor and interconnection and permi…”
Shayle Kann Oct 31, 2024 ▶ 23:07
Insight
Ball: Modular ammonia costs are driven by upstream hydrogen and nitrogen feedstocks
“I think we saw this a lot in the modular ammonia space where, you know, the secret sauce is on this low pressure, low temperature, relatively reactor. And that's a really nice to have, but what, you know, we found, you know, doing our own internal work is that…”
Dr. Melissa Ball Oct 31, 2024 ▶ 24:54
Insight
Thiel: Small EV drivetrain efficiency gains matter because batteries are expensive
“The biggest, biggest single line item cost in an electric vehicle is, is the batteries, and a lot of the drivetrain, you know, power conversion equipment, motors, and so forth, are really, really efficient, and so it could be tempting to kind of, if you're loo…”
Dr. Greg Thiel Oct 31, 2024 ▶ 26:24
Assertion Supported
Ball: Ammonia transport costs can be double the levelized production costs
“Ammonia, you know, we did a deep dive on what those distribution costs could be, and, you know, you, depending on where you are in, in the U.S., or, and I'll stay U.S. Centered, but this is even more so outside the U.S., Those distribution and transport costs …”
Dr. Melissa Ball Oct 31, 2024 ▶ 31:05
Insight
Thiel: New grid storage must hit $100-$150/kWh to beat 2030s LFP
“So I think that the numbers that we've landed on in, in our work are sort of in the hundred to 150 dollars per kilowatt hour total installed system cost. If you can see a path, a pretty clear path to those numbers, with your system, then you probably have a pr…”
Dr. Greg Thiel Oct 31, 2024 ▶ 34:03
Insight
Thiel: Single-pass conversion gains do not significantly improve green methanol economics
“If you get A better conversion of CO two and hydrogen to methanol on a single pass. It just really doesn't move the overall economics in a huge way because again, back to a previous point, CO two and hydrogen are the big cost drivers in that system.”
Dr. Greg Thiel Oct 31, 2024 ▶ 39:08
Insight
Thiel: Early techno-economic models should focus on error bars, not detailed design
“It's better or it can be helpful just to put error bars and understand the sensitivities on things earlier on and go down the deeper, more detailed design rabbit holes when the higher level stuff is fixed.”
Dr. Greg Thiel Oct 31, 2024 ▶ 45:57
Insight
Kann: Extreme precision in five-year cost projections is wasted startup effort
“If you're using it to get to a ridiculous level of precision on the cost structure that you expect to achieve in, in five years, you've probably wasted some time.”
Shayle Kann Oct 31, 2024 ▶ 47:53
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