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  • LNG plant compressors: chilling goes electric?

    LNG plant compressors: chilling goes electric?

    Electric motors were selected, in lieu of industry-standard gas turbines, to power the main refrigeration compressors at three of the four new LNG projects that took FID in 2024. Hence is a major change underway in the LNG industry? This 13-page report covers the costs of e-LNG, advantages and challenges, and who benefits from shifting capex.


    Another capex cycle appears to be underway in global LNG, as the pace of new LNG project additions accelerates from 10MTpa/year in 2022-25 to 55MTpa/year on average from 2027-30. Annual LNG capex forecasts, and where the money goes, are thus summarized on pages 2-3.

    Yet a shift also appears to be underway on the equipment side: electric motors are gaining share over gas turbines, to power the compression trains at LNG plants. An overview of how an LNG plant works, covering the Joule Thomson effect, LNG plant compressors’ energy use (in kWh/ton) and CO2 intensity (in tons/ton) are given on page 4.

    Electric motors were selected, in lieu of industry-standard gas turbines, to power the main refrigeration compressors at three of the four new LNG projects that took FID in 2024. Specific examples of electric LNG plants (eLNG), and who won the order flow, are given on pages 5-6.

    Economic costs of eLNG are modeled on page 7 (in $/mcf terms), with a sensitivity to CO2 costs, power prices and transmission distances on page 8; and a breakdown of the capex (in $/Tpa terms) on page 10, including the leading companies winning order flow on page 11.

    Advantages and challenges of eLNG are discussed on page 9 and pages 12-13. Some proponents claim higher reliability, flexibility, lower maintenance costs, better start-up times and the chance to lower LNG emissions 50-90% below typical facilities. But past projects to electrify LNG plant compressors have not always performed perfectly.

    Overall, a new LNG cycle is set to be a major theme for 2025, as are power grid bottlenecks, as ever more processes electrify. We will be looking for opportunities across the board in these process technologies.

  • Energy transition: solar and gas -vs- coal hard reality?

    Energy transition: solar and gas -vs- coal hard reality?

    This 15-page note outlines the largest changes to our long-term energy forecasts in five years. Over this time, we have consistently underestimated both coal and solar. So both are upgraded. But we also show how coal can peak after 2030, based on cost factors alone. Global gas is seen rising from 400bcfd in 2023 to 600bcfd in 2050.


    Peak coal demand is a necessity for net zero scenarios. But it is an embarrassment for net zero modelers.

    Our own numbers from 2022, for example, hoped global coal would peak at 8.2 GTpa in that year, run sideways for 1-2 years, then fall off a cliff by 2050. Yet global coal use hit 8.8GTpa in 2024, and has been revised upwards in five of the past six years (page 2).

    There is a famous Albert Einstein quote about how insanity is doing the same thing over and over again and expecting different results.ย Thus, it is starting to feel insane to us, that every year, we update our models, smudge up prior year coal consumption in China and India, then insouciantly claim this year must be the year these countries will decide to stomach $50-80/ton CO2 abatement costs for gas switching (page 3).

    Hence this 15-page note has followed some sober reflection in December-2024, as we updated all our energy supply-demand models for the past year. As a result, we are making some of the largest changes in our energy models since starting TSE, with materially more coal and solar in the long-term mix. But global coal use really and truly can peak.

    How coal can peak is that coal costs will rise, solar costs will fall and eventually gas will be more competitive than coal for backing up the solar. The rising cost structure of China’s listed coal producers and broader coal-mining industry is shown on pages 4-6.

    Solar capacity additions are the other line item in global energy balances that have consistently been upgraded, with every yearโ€™s trajectory seeming to defy even the most bullish forecasts from the previous year, for a decade. Hence this note contains large upgrades to our solar forecasts, which unlock fascinating new global energy demand, as shown on pages 7-9.

    The key chart in this note is on page 10, which contrasts electricity costs in Asia from 2008 to 2050, across coal, gas and LNG. How coal can peak is that marginal solar has now deflated below marginal coal, coal costs keep rising, and from 2030, imported LNG starts to displace marginal coal in backing up the solar (see page 10).

    Large updates to our global energy outlook follow. Coal demand does peak, but our 2050 coal forecasts are revised sharply upwards, especially in China’s energy supply-demand mix. Our forecasts for global electricity supply-demand and solar are also revised sharply upwards. Global gas supply-demand is still seen rising by 50% to 600bcfd by 2050. Key charts are on pages 11-15.

    The note also dovetails with our top ten predictions for 2025.

  • Ten Themes for Energy in 2025?

    Ten Themes for Energy in 2025?

    This 11-page report sets out our top ten predictions for 2025, across energy, industrials and climate. Sentiment is shifting. New narratives are emerging for what energy transition is. 2025-30 energy markets look well supplied. The value is in regional arbitrage, volatility, grids, AI and solar.


    There is always a delicate balance in outlook notes. Erring on the side of caution yields predictions that are guaranteed to be true, but nevertheless add no value (โ€˜up will be up, and down will be downโ€™). Erring in the other direction can yield very interesting hypotheticals, but they will never happen (e.g., โ€˜zombie apocalypseโ€™).

    Hence this note is our attempt to reflect on everything that happened in 2024, everything we have learned as energy analysts over the past 15-years, and thus make predictions for what will happen in 2025+, which will be at least 50% novel and at least 50% probable.

    Each page of the report covers a single one of our ten themes for energy in 2025, a prediction for what we think will happen, and is substantiated with our single best ‘killer chart’.

    Four of our themes cover energy supply-demand, especially global energy balances, especially coal, LNG and solar where particularly interesting market trends are afoot.

    Three of our themes cover how the narrative is changing in energy transition. ‘Decarbonize the world at any cost’ is starting to feel like a futile folly, a kind of environmental Afghanistan. We argue the narrative will shift sharply in 2025, as new themes emerge.

    Our outlooks for AI and power grids in 2025 are on pages 7 and 8, including a preview for how our numbers will change, when we revisit these topics in greater depth in 1Q25.

    Our wildcard scenario for 2025 looks at trade tensions, and how they may create not just downside for energy markets, but potentially interesting upside?!

    Companies that do well amidst our themes for energy in 2025 will be those that focus on competitiveness, efficiency, low-cost energy, and building out capacity that their customers will pay for, per page 10. Our TSE company database has been updated for 4Q24 and now features 1,700 mentions of 600 core companies.

  • Kardashev scale: a futuristic future of energy?

    Kardashev scale: a futuristic future of energy?

    A Kardashev scale civilization uses all the energy it has available. Hence this 16-page report explores ten futuristic uses for global energy, which could absorb an additional 50,000 TWH pa by 2050 (60% upside), mainly from solar. And does this leap in human progress also allay climate concerns better than pre-existing roadmaps to net zero?


    Most long-term energy forecasts simply lack imagination. In particular, most energy transition scenarios leave little room for new demand, which is why AI was a shock in 2024. But what if civilization was capable of harnessing vastly more energy?

    The Kardashev scale was proposed by Nikolai Kardashev, in 1964. It measures the technological advancement of a civilization according to the amount of energy it is capable of harnessing and using. Kardashev Level 1.0 equates to a civilization that can use all the available energy on its planet. Currently, the useful energy consumption of all human civilization is equivalent to about 0.01% of the solar energy reaching the Earth’s surface at ground level, as discussed on pages 2-3.

    In this note, we will go full sci-fi, and indulge the fantasy of near-infinite energy, e.g., from vast quantities of future solar available at 1c/kWh? How much incremental energy demand might human civilization want? Where could it go? And does this produce better human outcomes than limiting global energy demand in order to reach net zero by 2050?

    Incremental demand for living space and material possessions are probably the two most obvious yet boring use cases, with demand sensitivities on pages 4-5.

    More interesting and futuristic, however, the bulk of this note explores advanced materials that push the limits of engineering (page 6), an unstoppable rise of AI energy potentially culminating in Matrioshka Brains powered by Dyson Spheres (!) (page 7), a return of supersonic aviation (page 8), aerial vehicles (page 9), greening 1bn acres of desert (page 10), infrastructure projects that transform urban landscapes (page 11), electrochemical DAC to construction materials (page 12) and of course space-faring (page 13).

    We propose how low-cost solar would provide the vast majority of the energy needed for these futuristic new energy uses, yet oil runs sideways and gas use still rises, in this future energy system (chart below), based on the economic reasoning on pages 14-16.

    Possible energy demand in 2050 in the sci-fi scenario where solar becomes dirt-cheap, at around 1c/kWh.

    We started this note as a science fiction fantasy. But after writing it, we think this kind of energy transition is actually more likely to play out than our last published roadmap to net zero, whose deliverability has recently started to seem less likely.

  • Energy transition: classic blunders?!

    Energy transition: classic blunders?!

    Classic blunders famously include “never start a land war in Asia” and “never go up against a Sicilian when death is on the line”. But this video sets out what we believe are the three classic blunders that should be avoided by energy analysts, and in the energy transition, based on our own experiences over the past 15-years.


    2024 has been a particularly forceful year for busting through blunders, so the video contains important reflections, and early resolutions for 2025, as we are trying to learn from the scars we have accumulated over the past six years of TSE research.

    Our first classic blunder for energy analysts is never to assume that what you want to happen in the energy transition will defy the laws of economics. Costs matter. This is why we have ended up building over 200 economic models.

    Our second classic blunder for energy analysts is never to write that a new physical or chemical process technology is “right on the cusp of commercialization”. We enjoy exploring new technologies, and deep-diving into patent libraries, but usually new technologies take longer than expected to reach commerciality.

    Our third classic blunder is never to bet against semiconductor technologies. This seems important as the biggest theme in 2024 energy markets has been the rise of AI, but another semiconductor technology is solar, and there are other potentially world-changing semiconductor energy technologies waiting in the wings.

    In case you are wondering, the video was recorded in Kadriorg Park, in Tallinn, because a sunny winter day in Estonia demands going outside!! Although it was somewhat windy in the park, and hence please accept our apologies that the audio went a little bit funny in places, and makes Rob sound like a robot.

    Some recent research that seeks to avoid these energy transition blunders, and draw out opportunities discussed in the video, is linked below…

  • Cool concept: absorption chillers, data-centers, fuel cells?!

    Cool concept: absorption chillers, data-centers, fuel cells?!

    Absorption chillers perform the thermodynamic alchemy of converting waste heat into coolness. Interestingly, solid oxide fuel cells and absorption chillers may have some of the lowest costs and CO2 for powering and cooling AI data-centers. This 14-page report explores the opportunity, costs and challenges.


    Some power generation sources produce both electricity and waste heat. Absorption chillers can convert that waste heat into coolness. Hence could this combination provide both data-center power and data-center cooling, more economically and with lower carbon, than the traditional approach of using electrically-driven HVAC? This question felt interesting to explore in a dedicated research note.

    A fascinating avenue to get net zero back on track, more broadly, while also enhancing energy security and competitiveness, would be to capture more waste heat, including by turning heat into coolness, via absorption chillers. Market sizes are quantified on pages 2-3.

    How does an absorption chiller work? The four key stages, in the evaporator, absorber, generator and condenser, are described clearly and concisely on pages 4-5.

    What does an absorption chiller cost? Capex, opex and total costs of cooling are drawn from our economic model of absorption chillers, in cents per ton-hour and in $/kW-th, and compared with mechanical HVAC equipment on pages 6-8.

    Hence how do the costs compare for powering and cooling a data-center using (i) grid power and mechanical HVAC (ii) CCGTs and mechanical HVAC (iii) simple cycle gas turbines and absorption chillers (iv) Solid Oxide Fuel Cells and absorption chillers? The answers on this comparison surprised us, per pages 9-11.

    Challenges with fuel cells and absorption chillers should be considered, before getting overly excited, hence some recent successes and issues are summarized on pages 12-13.

    Companies producing absorption chillers and solid oxide fuel cells, including our review of Bloom Energy’s patents, are on page 14.

  • Grid-forming inverters: islands in the sun?

    Grid-forming inverters: islands in the sun?

    The grid-forming inverter market may soon inflect from $1bn to $15-20bn pa, to underpin most grid-scale batteries, and 20-40% of incremental solar and wind. This 11-page report finds that grid-forming inverters cost c$100/kW more than grid-following inverters, which is inflationary, but integrate more renewables, raise resiliency and efficiency?


    The output of a solar module, a lithium ion battery, or a rectified wind turbine generator comes in the form of Direct Current, i.e., a steady flow of charge.

    However, power is transmitted and mostly consumed as Alternating Current, a smooth sine wave of rising and falling voltage and current. This makes it easier to alter voltages in transformers and drive motors that are 40% of global electricity.

    Inverters are used to convert DC to AC. In fact, there are two ways of synthesizing an AC waveform from a DC generation source: using pulse-width modulation or by stacking transistors, as outlined on pages 2-3.

    But how do the inverters know what waveform to synthesize, i.e., at what frequency, phase angle and in synchrony with the rest of the grid? Historically the answer has almost entirely been via grid-following inverters, as described on page 4.

    The issue that arises for energy systems with high penetrations of inverter-based resources – wind, solar and batteries – is that grids become unstable once grid-following inverters start providing around 60-70% of the instantaneous power, as described on pages 5-6.

    Grid-forming inverters are the solution to enable stable grids with higher instantaneous shares of inverter-based generation. We outline how they work, and what they cost, on pages 6-7.

    Other advantages of grid-forming inverters appear in small grids, in island grids, or when preventing the inefficient operation of rotating generators at low loads, which in turn can amplify fueling costs and CO2 intensity factors by 2-4x, per pages 8-9.

    Our estimates of market sizing for grid-forming inverters are outlined on page 10 and a short screen of leading grid-forming inverter companies is on page 11, alongside some conclusions.


  • Energy transition: losing faith?

    Energy transition: losing faith?

    What if achieving Net Zero by 2050 and/or reaching 1.5ยบC climate targets now has a <3% chance of success, for reasons that cause decision-makers to backtrack, and instead focus on climate adaptation and broader competitiveness? This 14-page report reviews the challenges. Can our Roadmap to Net Zero be salvaged?


    The goal of research is neither to cheerlead for what you want to happen, or to whine about what you donโ€™t want to happen. It should be to predict what will happen. Even when you don’t like the predictions.

    Hence every December we have attempted to distil our research from the previous year,ย into a Roadmap to Net Zero, which suggests the most likely trajectory where the world could reach zero net CO2 emissions by 2050, thereby limiting climate change to 1.5 โ€“ 2.0ยบC of warming.

    Unfortunately, this year, we increasingly fear our Roadmap to Net Zero is not what will happen. The purpose of this note is to explain why.

    The first challenge is that we are seeing lower willingness to pay for decarbonization than we expected, per the evidence on pages 5-6.

    The second challenge is a more adversarial world, where issues such as defence, self-sufficiency and competitiveness threaten themes such as coal-to-gas switching and climate coordination, per pages 7-11.

    The third challenge is slow progress with CCS and CDRs. We find it unlikely that gross emissions will fall below 30GTpa by 2050, but can anything close to 30GTpa be captured and/or offset, per pages 12-13?

    Hence our most likely scenario is now for Net Zero to be delayed by 2-3 decades and for 2.5-3ยบC of warming by 2100. Around 1.3ยบC of this warming has already happened.

    What could still salvage a 1.5-2.0ยบC Climate Scenario, versus the 2.5-3ยบC world that increasingly looks more likely, could be some game-changing technology, emerging at the bottom of the cost curve: AI breakthroughs, thermo-electrics, solar + battery costs collapsing sharply, fusion, electrochemical DAC.

    And maybe we should not fixate too much on achieving Net Zero by 2050, or the precise level of warming in 2100, which no one really knows anyway. If you can find good opportunities, which boost competitiveness (and are not overly reliant upon fickle policy support!!), then these are the ways to improve the world’s energy system from the bottom up.

  • Solar trackers: following the times?

    Solar trackers: following the times?

    Solar trackers are worth $10bn pa. They typically raise solar revenues by 30%, earn 13% IRRs on their capex costs, and lower LCOEs by 0.4 c/kWh. But these numbers are likely to double, as solar gains share, grids grow more volatile, and AI unlocks further optimizations? This 14-page report explores the theme and who benefits?


    A solar module is a 2.7 m2 rectangle, whose internal semiconductors convert incoming electromagnetic radiation into a direct current via the photovoltaic effect. To maximize energy production, ideally, the entire 2.7 m2 rectangle will be pointed directly at the sun and receive full sunlight. But this is challenging as the sun arcs across the sky, tracing a different path every day of the year, and varying with latitude, as shown on page 2.

    Solar trackers orient solar modules towards the sun. The market size, key parameters of different systems, and “how solar trackers work” are succinctly explained on pages 3-4.

    The energy uplifts from solar trackers have been estimated at 10-50% in different studies. But we can do better than this broad range, and actually calculate both the energy uplift and the revenue uplift from first principles, on pages 5-8.

    The economics of solar trackers can therefore be modeled more effectively. Our base case yields 13% IRRs and deflates solar LCOEs by 0.4 c/kWh. We can also model how steepening duck curves, battery co-deployments, and AI optimizations will further improve the case for solar trackers, on pages 9-10.

    The solar tracker industry is worth $10bn pa, relatively concentrated, and relatively unusual for a solar supply chain in that it is still dominated by US companies. We discuss key conclusions from our screen of solar tracker companies on pages 11-13.

    A key mega-theme that has permeated our 2024 research has been the rise of AI, and the benefits of greater digitization and optimization. It is interesting to end by noting that solar trackers, once again, fit this trend, and amplify demand for sensor equipment.

  • Energy transition: the triple challenge?

    Energy transition: the triple challenge?

    Energy transition is a triple challenge: to meet energy needs, abate CO2 and increase competitiveness. History has now shown that ignoring the part about competitiveness gets you voted out of office?! We think raising competitiveness will be the main focus of the new administration in the US. So this 15-page report discusses overlooked angles around energy competitiveness, and updates our outlook for different themes.  


    A common framework is to call the energy transition a โ€œdual challengeโ€. The first task is meeting the energy needs of human civilization. And the second task is abating the worldโ€™s CO2 emissions. But we increasingly think this framework is incomplete. Energy transition is a triple challenge. The third component is raising competitiveness.

    If we only solve for energy supply and CO2 reduction, then there is a danger of backing technologies that achieve both of these things at very high costs; which inflates living costs for consumers, and worsens competitiveness in countries that adopt them (pages 2-3).

    The distinction between CO2 abatement and competitive CO2 abatement is illustrated by contrasting CCS and nature-based solutions, in a detailed case study on pages 4-6.

    It is really worth thinking about this distinction. Our sense is that the incoming Trump administration is not anti-decarbonization per se. It is simply pro-competitiveness. Hence, we have re-visited our outlook for energy markets and energy transition themes from this lens.

    How can developed world economies improve their competitiveness with emerging world economies that have lower labor costs, lower energy costs, and lower environmental costs? Our answer hinges on minimizing the difference in energy costs, then producing better products, via better technology, helped by better infrastructure (page 7).

    High-quality infrastructure clearly boosts competitiveness, but can it also be considered an energy transition category? A fiber optic cable moves 1 GB of data with 15,000x less energy than physically transporting it. Bridges, canals, railways and transmission lines save MT-scale CO2. Examples and case studies are on pages 8-10.

    Boosting the competitiveness of an industrial economy is helped by selecting low-cost sources of energy and de-selecting expensive ones. Hence, we revisit our electricity cost curves. Especially in the US, we grow more constructive on gas production, gas pipelines, gas turbines on pages 11-12.

    Some solar and onshore wind deployments genuinely can improve the competitiveness of energy systems, when deployed in the right place, and in the right quantities. Our outlook for renewables under the new US administration is on page 13.

    Incentivizing new technology is another area where we think the new US administration may introduce surprising policies. One proposal that resonates with us is a โ€œfirst mover tax creditโ€ to help companies justify investments that will de-risk new technologies that later benefit others. Technologies that excite us are re-capped on pages 14-15.