MGI Research

Ten physical realities the energy transition must tackle

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There has been meaningful momentum toward the energy transition, but a number of forces are creating uncertainty. They include shifting geopolitics, policy uncertainty in many countries, the macroeconomic environment, and rising energy demand from the adoption of artificial intelligence tools, to name a few.

But even in the face of these near-term uncertainties, it is important not to lose sight of the core—long-term—challenge at the heart of the transition. The energy transition is a physical transformation on a massive scale. Billions of parts associated with today’s highly complex, interconnected, and optimized system of energy production and consumption would need to be transformed—substituting high-emissions technologies that rely on fossil fuels with a new generation of low-emissions options—with an aspiration to do so in just decades. This will require tackling, as our 2024 report put it, the “hard stuff”—grappling with the physical challenges associated with the development and deployment of high-performing low-emissions technologies and the associated infrastructure and supply chains they need in order to operate.1The hard stuff: Navigating the physical realities of the energy transition,” McKinsey Global Institute, August 14, 2024.

We are already seeing the physical nature of the transition manifest. On the one hand, global physical deployment of clean technologies such as renewables and electric vehicles has continued to accelerate. Installed renewable capacity (led by record deployments of solar power) is estimated to have increased by more than 10 percent from 2023 to 2024, and passenger electric vehicle sales—both battery-powered (BEVs) and plug-in hybrids (PHEVs)—by more than 25 percent from 2023 to 2024.2 And technologies continue to improve, including, for instance, longer-ranging EVs, new stationary storage technologies, and air-source heat pumps that can provide uninterrupted heat at temperatures below minus 20°C.3

Nevertheless, it is increasingly evident that more needs to be done to deal with physical challenges head on. For example, as power systems accommodate a higher share of renewables like solar and wind that are, by their nature, variable, there is growing recognition of the need to manage volatility.4 Rising energy demand from data centers has also demonstrated the challenge with scaling up power capacity. In the United States, interconnection projects typically take nearly five years from the interconnection request to commercial operation, and an estimated 70 percent of transmission lines are more than 25 years old and would need to be replaced within ten to 20 years.5

Overall, more will need to be done to deal with the physical challenges associated with the large scale-up of low-emissions technologies. So what are those challenges and how should stakeholders navigate them? To support decision-making, our analysis published in 2024 is what we believe is the first comprehensive stock take of those physical challenges.6The hard stuff: Navigating the physical realities of the energy transition,” McKinsey Global Institute, August 14, 2024.

In this article, we draw on that research to highlight ten key insights that are relevant to the core components of the transition—to the power sector, which is at the heart of the transition; to the three major end-use sectors, namely mobility (road vehicles and other forms of transportation to move people and things), industry (which manufactures a broad range of materials and goods like steel and cement), and buildings (facilities that consume energy for lighting, heating, and more); and, finally, to the three enablers of the energy-system transformation, namely raw materials (particularly the critical minerals needed for many low-emissions technologies like batteries and electrolyzers), new energy carriers (such as hydrogen and biofuels), and carbon capture and energy reduction approaches to manage any remaining emissions.

1. Today’s energy system is high-performing but also has flaws

Exhibit 1
Today's energy system has beneficial properties but produces high emissions.

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A series of four exhibits assess the properties of current and potential energy technologies, ranging from beneficial properties to those needing improvements. The first exhibit focuses on two beneficial properties: energy density and transportability. The first chart shows the volumetric energy density (megajoules per liter) of various energy sources. Diesel, bituminous coal, and liquefied natural gas produce higher emissions and have a high energy density. Biodiesels have low emissions and high energy density. The second chart illustrates gravimetric energy density (MJ per kg). H2 (gaseous and liquid) stands out with low emissions and high energy density. The last chart depicts transportability (megawatt hours moved per dollar of transport cost over 1,000 miles). Oil (pipeline) has the highest transportability but has high emissions. Low-emissions technologies such as high-voltage direct current, H2, or ammonia have very low transportability.

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Today's energy system has beneficial properties but produces high emissions.

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The second exhibit in the series focuses on another beneficial property, dispatchability. The first of two charts shows the average capacity factor across geographies, measured in percentage of time generating energy. Among low-emissions technologies, solar and onshore wind show the lowest dispatchability, and geothermal and nuclear show the highest. Gas plants, which are a high-emission technology, are in the upper range of dispatchability. The second chart ranks energy technologies by the speed of power ramp-up, measured by percent increase in total generation capacity per minute. Two low-emissions technologies, hydropower and particularly li-ion batteries, stand out with much higher speed of power ramp-up than any other technology.>

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Today's energy system has beneficial properties but produces high emissions.

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The third exhibit in the series focuses on two more beneficial properties: the capacity to generate high heat, and chemical flexibility. In the first, heat pumps fare poorly. Coal and natural gas, both with high emissions, rank high, but two low-emissions technologies, biomass (fuel) and H2 reach the highest temperatures. Electric technologies such as boilers, resistance heaters, and electric air furnaces, range from very low to very high temperatures. Regarding chemical flexibility, the exhibit shows that fossil fuels are used as feedstocks for industrial processes to produce thousands of materials such as steel, plastics and chemicals, ammonia, and fuels. But low-emissions feedstock such as H2, bio feedstock, and recycled outputs can also be used.>

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Today's energy system has beneficial properties but produces high emissions.

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The fourth and last exhibit in the series focuses on a neutral property (energy efficiency) and one needing improvements (low-emissions generation). In energy efficiency, a chart ranks technologies by percentage of useful work from final energy for road mobility. Internal combustion engines fare low (only 15–30 percent of the energy in gasoline is converted into useful energy by a car. Battery electric vehicles rank much higher (between 80 and 90 percent). In terms of energy for heating hydrogen and natural gas boiler are inefficient, while heat pumps can rank very high. In terms of emissions, gas and coal generate the least power per unit of emissions, followed by hydro, solar, wind, and nuclear.

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2. Only about 10 percent of low-emissions technologies needed by 2050 to meet global commitments have been deployed

Exhibit 2
Deployment of key decarbonization approaches is at an early stage in most domains.

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A Gantt chart shows the 2022 deployment of low-emissions technologies as a share of their needed 2050 deployment in each of 7 domains, or sectors. The 2050 deployment needs are based on the McKinsey 2023 Achieved Commitment Scenario. In this scenario, most countries reach their net-zero commitments by or before 2050. In the power sector, low-emissions installed capacity is at 8–12 percent of its needed 2050 deployment. In the mobility sector, deployment has reached 3 percent of its needed deployment for electric vehicles (EV) stock and 15 percent of its needed deployment for EV sales. The industry sector has reached 0–10% of its needed deployment for low-emissions production of steel and cement. The buildings sector has reached 5–7 percent of its needed deployment for heat pump stock and 9–12 percent of its needed deployment for heat pump sales. The raw materials sector has reached 10–35 percent of its needed deployment for the supply of critical minerals. The hydrogen and energy carriers sector has reached less than 1 percent of its needed deployment for the production of low-emissions hydrogen. Finally, the carbon and energy reduction sector has reached less than 1 percent of its needed deployment for CO2 capture by point-source facilities. Overall, the chart shows deployment of key decarbonization approaches is at an early stage in most domains.

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3. A metamorphosis of the power system has to be at the heart of the transition

Exhibit 3
VRE-heavy systems require more capacity to provide flexibility.

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The exhibit shows a series of six charts illustrating changes in the German power system from 2000–50, based on McKinsey's 2023 Achieved Commitments scenario. Overall, the exhibit shows that systems heavy in variable renewable energy (VRE), such as the German, require more capacity to provide flexibility. The first chart is a stacked area chart showing total generation in gigawatt-hours (GWh). It displays a significant increase from approximately 600 GWh in 2000 to over 1,000 GWh in 2050. Total generation generation is projected to increase by 85 percent from 2020–50, with nearly all growth provided by VRE.

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VRE-heavy systems require more capacity to provide flexibility.

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The second chart in the series is a line chart with an index (2000=100) on the y-axis, depicting total capacity and total generation. Total capacity increases significantly more than total generation, showing a projected threefold increase in capacity compared to generation from 2020–50.

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VRE-heavy systems require more capacity to provide flexibility.

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The third chart in the series, also a stacked area chart, shows flexible capacity in gigawatts (GW) comprising interconnections, thermal flex, and ftorage. Similar to the second chart, flexible capacity also shows a three-fold increase from 2020–50.

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VRE-heavy systems require more capacity to provide flexibility.

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The fourth chart in the series is also a stacked area chart. It displays total thermal capacity in GW. It shows a decrease from about 100 GW in 2000 to about 60 GW in 2050, with hydrogen or other low-emission fuels making up an increasing portion of this capacity. Even though thermal sources of energy change over time, total thermal capacity is projected to remain about the same from 2020–50, providing flexibility to the system.

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VRE-heavy systems require more capacity to provide flexibility.

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The fifth chart is a line chart showing capacity factor (%) for total thermal and VRE. This chart highlights a decrease of 27 percentage points in the capacity factor for thermal from 2020–50. The lower utilization rates lead to an expansion of the grid, as shown in the next chart.

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VRE-heavy systems require more capacity to provide flexibility.

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The sixth chart in the series is a line chart illustrating transmission grid length in thousands of kilometers. It shows a substantial increase of 1.8 times from 2020–50.

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4. Electrifying heat will require managing higher demand peaks

Exhibit 4
As heating electrifies, peak electricity demand could triple in some US states if not managed.

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A map diagram shows projected peak electricity demand in a scenario where all building heat in the United States is electrified, as compared to current peak demand. The diagram displays projected peak demand by state, as well as at the national level and in two specific regions. The map illustrates that the impact of such an electrification scenario would be uneven across the United States, with some areas experiencing a much larger increase in peak demand than others. The diagram shows that peak electricity demand in a 100 percent electrified heat scenario could be 3.2 times higher in ISO-NE (a region that serves Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and Vermont) than it is currently. The national total peak demand in this scenario would be 1.7 times higher than it is currently. Meanwhile, in the ERCOT region (Texas), peak demand would be about the same as it currently is. Each state is assigned a different color based on the multiplier of peak electricity demand in the 100 percent electrified heat scenario compared to current demand. For example, the state of Massachusetts has a multiplier of 4.0, meaning that its peak demand would be four times greater if all heating was electrified. The state of Texas has a multiplier of 1.0, indicating that peak electricity demand would not increase in this scenario.

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5. For EVs to deliver on their potential, grids would need to be cleaner

Exhibit 5
Grid emissions intensity has a large impact on the carbon breakeven point and lifetime emissions savings of battery electric vehicles.

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The dot plot compares the carbon breakeven point, in kilometers, and lifetime emissions savings of battery electric vehicles (BEVs) against internal combustion engine (ICE) vehicles, across different regions with different grid emission intensities: the United States, the European Union, China, India, and a global average. China and India are shown in two scenarios each: one with constant emissions intensity as of 2022, and one with average emissions intensity 2022–35 in line with stated climate commitments. The regions are also are also compared to a 100 percent green grid. The chart shows that the carbon breakeven point, the distance at which the lifetime emissions of a BEV are lower than that of an ICE vehicle, varies considerably across regions, depending on the grid's emissions intensity, which is measured in grams of carbon dioxide equivalent per kilowatt-hour (gCO2-e/kWh). For example, in the European Union, a BEV could reach breakeven between 20,000 and 40,000 km. The plot also displays lifetime emissions saved at 200,000 km, in percentage. Following the previous example, a BEV would emit ~45–65 percent less CO2-e over its lifetime than an average ICE. Overall, the plot indicates a carbon breakeven point and the lifetime emissions savings are higher for regions with lower grid emissions intensities, which highlights the importance of decarbonizing electricity grids to maximize the environmental benefits of BEVs.

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6. Production of the big four industrial materials needs very high temperatures—and is harder to electrify and decarbonize

Exhibit 6
Most high-temperature heat in industry is required by steel, chemicals, and cement.

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The Marimekko chart breaks down global final energy consumption by industrial sector, and shows the share by temperature required for each sector. The sectors are listed vertically on the left side of the chart. Iron and steel, and chemicals are the industrial sectors with the highest global energy consumption, with 21 and 19 exajoules, respectively, in 2022. Cement (15 exajoules) follows them. Along the horizontal axis, each sector is shown by a stacked bar. The different colors show how much energy is needed for different temperature ranges: high temperature (>500°C), medium temperature (100–500°C), low temperature (<100°C), and cooling. Iron and steel use the largest share of high-temperature energy, at 83 percent. This is followed by cement (82 percent) nonferrous metals, including aluminum (70 percent), and chemicals (35 percent). The remaining industries use significantly less high-temperature energy. For example, only 6 percent of the energy used by manufacturing industries requires high temperatures. The chart demonstrates the significant role of high-temperature energy in big industrial materials, particularly iron and steel, chemicals, cement, and nonferrous metals.

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7. New low-emissions technologies need to be viable when windows for turning over assets present themselves

Exhibit 7
A turnover window for blast furnaces is approaching, as around 60% of capacity will require relining by 2030.

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A bar chart displays the cumulative global blast furnace production capacity requiring relining by year. The chart shows that approximately 60 percent of global production capacity will require relining before 2030. The capacity needing relining increases steadily from approximately 0.15 billion tons of steel in 2022 to over 1.5 billion tons by 2038 and beyond. The bars are color-coded, with blue representing capacity needing relining before 2030, and dark gray representing capacity requiring relining after 2030.

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8. Capturing carbon has high potential but is challenging in some use cases

Exhibit 8
Most emissions arise from processes with low CO2 concentration, where carbon capture, utilization, and storage is harder and more costly to deploy.

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A bar chart breaks down the share of US energy system emissions across various processes with different CO2 concentrations. The processes are categorized by CO2 concentration: high, intermediate, low, and diffuse. The share of US emissions for each category is shown as a percentage on the right side of the chart. The highest share of US emissions, over 50 percent, comes from processes with diffuse CO2 concentrations. These include processes such as mobility and buildings. The next largest share, about 35 percent, comes from processes with low CO2 concentrations, which include power generation from coal, petrochemicals, biomass, and natural gas. Intermediate CO2 concentration processes, which include iron and steel, cement, hydrogen with low purity, pulp and paper, contribute less than 10 percent to US emissions. And processes with high CO2 concentrations, including gas processing, ethanol, ammonia, and hydrogen with high purity, make up less than 5 percent of US emissions. The bottom of the chart shows a second bar chart plotting the capture costs, in dollars per ton of CO2, for the same processes. The capture costs are higher for processes with lower CO2 concentrations, highlighting the difficulty and expense of carbon capture, utilization, and storage (CCUS) at lower concentrations.

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9. Hydrogen could also play an important role, but its distinctive features need to be balanced against efficiency challenges

Exhibit 9
Despite being less efficient than direct electrification, hydrogen has distinctive features for a set of specific use cases.

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A range chart compares the end-to-end energy efficiency of hydrogen with direct electrification technologies across three different sectors: mobility, industry, and power. The chart shows that hydrogen is generally less efficient than direct electrification, but it has specific properties that make it suitable for certain applications. In the mobility sector, the end-to-end energy efficiency of hydrogen fuel cell vehicles (FCEVs) is up to 4 times lower than battery electric vehicles (BEVs). In the industry sector, hydrogen boilers have a maximum energy efficiency that is up to 8 times lower than that of heat pumps. In the power sector, hydrogen power-to-gas technology has a round-trip energy efficiency that is up to 3 times lower than that of Li-ion batteries. Despite these lower efficiencies, hydrogen has a higher gravimetric energy density than electrification, which makes it a better option for applications where storage space or weight is a constraint.

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10. Low-emissions technologies would require critical mineral extraction and refining capacity to be scaled substantially

Exhibit 10
Demand for critical minerals is expected to grow by up to seven times, with a risk of demand-supply imbalances.

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A table shows a breakdown of the demand increase for various critical minerals by 2030 compared to 2022. It’s based on the McKinsey 2023 Achieved Commitment Scenario, in which most countries reach their net-zero commitments by or before 2050. The table also shows the supply-demand balance in the base case and high case. It uses three categories: high imbalance, medium imbalance, and no or low imbalance. In minerals used for batteries, the demand for lithium will increase by seven times by 2030. The demand for cobalt and nickel will increase by two times by 2030. In minerals used for permanent magnets, demand for dysprosium and terbium is expected to increase four times, while demand for neodymium and praseodymium is expected to increase by 2.5 times. Lastly, demand for copper (used in electricity and infrastructure) is expected to increase by 1.5 times. For lithium and copper, the demand-supply balance is predicted to show a medium imbalance in the base scenario. For dysprosium and terbium, the demand-supply balance is predicted to show a high imbalance in both scenarios. For neodymium and praseodymium, the demand-supply balance is predicted to show a medium imbalance in both scenarios. The rest of the scenarios for the different minerals show no or low supply-demand imbalance.

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Tackling the energy transition would entail a complex physical transformation

This article highlights ten physical realities of the energy transition. They are part of a highly complex physical transformation that would need to be undertaken to deliver success. In our August 2024 report, we identified 25 physical challenges across the energy system that would need to be overcome for the transition to succeed (Exhibit 11).

Some of the 25 are harder to address than others. We categorized the 25 physical challenges into three levels of difficulty based on technological performance gaps, interdependencies with different challenges, and scaling needs. Nearly half—12 of the 25—are what we describe as Level 3 challenges. These are challenges that are particularly hard to tackle. Yet abating about half of energy-related CO2 emissions depends on addressing them.

To explore all 25 challenges and what it would take to tackle them, see our full report.

Exhibit 11
Twenty-five physical challenges would need to be addressed for the energy transition to succeed.

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An hexagon chart presents 25 physical challenges that must be addressed for a successful energy transition, categorized by domain. The challenges are grouped into three levels, according to the level of difficulty of addressing them. Level 1 challenges require deploying established technologies that face the least physical hurdles. Level 2 challenges require deploying known technologies to accelerate and scale them. Level 3 challenges occur when technological performance gaps meet demanding use cases and the transformation is just beginning. The challenges are arranged in a honeycomb pattern. The first domain is the power sector, with six challenges: managing renewables' variability (level 3), scaling emerging power systems (level 3) flexing power demand (level 2), Securing land for renewables (level 2), connecting through grid expansion (level 2), and navigating nuclear and other clean energy (level 2). End-Use sectors include three domains: mobility, industry, and buildings. Mobility challenges include driving BEVs beyond breakeven (level 1), going the distance on BEV range (level 1), loading up electric trucks (level 3), charging up EVs (level 2), and refueling aviation and shipping (level 3) The challenges in the industry domain are furnacing low-emissions steel (level 3), cementing change for construction (level 3), heating other industries (level 3), synthesizing low-emissions ammonia (level 3), cracking the challenge of plastics (level 3), synthesizing low-emissions ammonia (level 3). And heating other industries (level 2). Challenges in the buildings domain include facing the cold with heat pumps (level 1), and bracing for winter peaks (level 2). The last three domains are categorized as enablers. They are: raw materials, H2, and other energy carriers, and carbon and energy reduction. Raw materials include one challenge: unearthing critical minerals (level 2). H2 and other energy carriers include harnessing hydrogen (level 3), scaling hydrogen infrastructure (level 3), and managing the biofuels footprint (level 2). Carbon and energy reduction challenges are expanding energy efficiency (level 2), capturing point-source carbon (level 3), and capturing atmospheric carbon (level 3).

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