Merchant nuclear power plants are finding a sweet spot in supplying on-site energy to tech companies constructing data centers across the United States. With a combined capacity of nearly 22 gigawatts (GW), these nuclear reactors possess advantages like ample space and cooling water.
By having nuclear generation on-site, data centers can avoid congested interconnection queues, ensuring a reliable power supply.
Constellation Energy Corp., Vistra Corp., NRG Energy Inc., and Public Service Enterprise Group Inc. are among the companies benefitting from the surge in their stock prices. These firms could reap significant financial rewards as electricity markets tighten, driven by the rising energy demands of data centers.
Powering the Digital Age
The growing energy needs of data centers are creating ripple effects in both the power generation and retail markets. Major tech companies, like Amazon Web Services Inc., are willing to pay premiums for continuous electricity. This is evidenced by their recent purchase of a data center campus in Pennsylvania for $650 million.
The campus, boasting a capacity of up to 960 MW for datacenters, sits adjacent to Talen’s Susquehanna Nuclear power plant. The nuclear facility generates a whopping 2,494 MW of power to fuel its operations.
This Amazon transaction signals an increased interest in securing round-the-clock power supply from nuclear plants. The potential pricing is expected to be around $30 per megawatt-hour (MWh).
The International Energy Agency forecasts that electricity consumption in data centers will rise from 200 terawatt-hours (TWh) in 2022 to around 1,050 TWh in 2026. That is equivalent to the energy demand of Germany.

This surge is expected to represent about 6% of the United State’s total power demand. The country is home to 33% of the world’s data centers.
The Growing Demand of Energy-Hungry AI
According to the IEA report, data centers globally consumed 460 terawatt-hours (TWh) of electricity in 2022, which accounted for 2% of total global electricity usage. Within data centers, the most energy-intensive processes are computing power and cooling.
With the rapid expansion of Artificial Intelligence (AI) services in the past year, data center providers have been investing in power-hungry Graphics Processing Units (GPUs) to meet the growing demand.
Another estimate forecasts that by 2027 the AI sector could use between 85 to 134 terawatt-hours every year. That figure is equivalent to the annual energy demand of the Netherlands.
In a study where the authors tested 88 different AI models across various applications, they repeated each task 1,000 times and estimated the energy consumption.
They found that many tasks showed low energy use. For instance, the AI model generated 0.002 kWh for classifying written samples and 0.047 kWh for generating text. To put this into perspective, it’s like the energy consumed during nine seconds or 3.5 minutes of Netflix streaming, respectively, for each task repeated 1,000 times.
However, image-generation AI models had significantly higher energy consumption, averaging 2.907 kWh per 1,000 inferences. The paper highlights that this is nearly equivalent to the energy used to charge an average smartphone, emphasizing the energy-intensive nature of AI image generation.
In Alex de Vries estimates, a PhD candidate, from 2010 to 2018, energy consumption in data centers remained relatively steady. It constituted about 1-2% of global energy consumption.
While demand increased during this period, de Vries explains that hardware efficiency also improved, effectively counterbalancing the rise in demand.
Renewable Solutions for Data Center Growth
In response to this alarming increase in energy demand to meet data center expansion, grid planners have adjusted their load growth forecasts accordingly, reflecting the escalating energy demands of data centers.

Due to their sizable capacities, nuclear plants like the Salem units in New Jersey and Beaver Valley in Pennsylvania are ideal for colocation with data centers.
Renewables’ developers, such as AES Corp. and NextEra Energy Inc., are also well-positioned to capitalize on the data center boom. They could offer on-site primary power generation solutions to tech giants.
Meanwhile, renewable developers have secured contracts for over 4,000 MW of capacity, catering to data centers’ energy needs. AES, for instance, has contracted 1,000 MW from its Bellefield and Bellefield 2 solar projects in California. Each project comes with battery storage capacity.
Additionally, innovative combinations of wind, solar, and natural gas-fired generation are being explored to provide reliable, low-carbon power to data centers.
As the demand for data centers continues to grow, the convergence of nuclear energy and technology industries presents lucrative opportunities for both traditional and renewable energy providers to meet the evolving needs of the digital age.
Could those merchant nuclear plants be the answer to the rapid growth of data centers and the rise of AIs? This would be an interesting development to have an eye on.
The post Could Merchant Nuclear Plants be the Savior of Power-Hungry Data Centers? appeared first on Carbon Credits.
Carbon Footprint
Insetting vs Offsetting: Which Actually Counts Toward Your Scope 3 Targets
The accounting differences that decide whether your nature investment shows up in inventory, in BVCM, or nowhere at all.
The question reaches a procurement team about three weeks before the next sustainability committee meeting. Someone has read about insetting. Someone else has just signed off on an offset purchase. The CSO wants to know if the two are interchangeable. The answer is no, and the GHG Protocol Land Sector and Removals Standard is the reason why.
This article walks through what each term means at audit-grade specificity, what the standards actually say about how each gets counted, and how to decide which tool fits which target. The insetting vs offsetting question is one of the most-searched in corporate climate strategy, and one of the most poorly answered. By the end of this piece, you should be able to brief a committee on the difference without notes.
The two definitions, in plain English
Offsetting means buying carbon credits generated outside your value chain and retiring them against your residual emissions. The reduction happens somewhere else, financed by you, and the credit is the receipt.
Insetting means investing in emission reductions or removals inside your own value chain, typically with suppliers, where the reduction is directly linked to the products and services you buy. The reduction happens inside the boundary of your Scope 3 inventory, and the accounting treatment is fundamentally different.
The shorthand from the University of Oxford’s Nature-based Insetting Initiative is useful: insetting is what you do with the supply chain you have; offsetting is what you do with the supply chain you do not have.
What the GHG Protocol Land Sector Standard actually says
The GHG Protocol Land Sector and Removals Standard, finalised in 2024 after a multi-year pilot, sets the rules for how land-based emission reductions and removals enter corporate inventories. The Standard distinguishes between inventory accounting (Scope 1, 2, and 3) and project or intervention accounting (a separate methodology for crediting).
For insetting, the practical implication is that supplier-level interventions, when properly measured and attributed, can reduce your Scope 3 category 1 (purchased goods and services) emissions in your inventory. The reduction is not a credit retired against the inventory; it is a lower inventory number, period.
For offsetting, the credit is retired separately. It can be reported as a contribution toward a net-zero claim under the SBTi Beyond Value Chain Mitigation framework or as part of a VCMI Carbon Integrity claim, but it does not lower the inventory number.
A practical consequence: if your Science Based Target requires a 50% absolute reduction in Scope 3 emissions by 2030, insetting moves you toward the target. Offsetting does not. This single point of difference reshapes the procurement decision.
When insetting counts toward Scope 3 (and when it does not)
Insetting counts toward Scope 3 only when several conditions are met:
- The intervention must occur with an entity in your value chain.
- The emissions reduction or removal must be measured against a defensible baseline.
- The reduction must be attributed to your share of that supplier’s output, not double-counted with other buyers.
- It must follow the inventory accounting rules in the GHG Protocol Land Sector Standard, not the project accounting rules used to generate credits.
The most common failure mode is double counting. If your supplier sells the same reduction as a credit on the voluntary market and also reports it to you as a Scope 3 reduction, the math breaks. The Standard requires you to address this risk, typically by purchasing and retiring the supplier-issued credit as part of your inventory or by contractual provisions that prevent the supplier from selling the reduction twice.
When insetting does not count toward Scope 3: when the intervention sits with a supplier you do not buy from, when the baseline is not defensible, when the attribution is unclear, or when the documentation does not survive audit. Those cases default to Beyond Value Chain Mitigation, which is still useful but operates on a different ledger.
The procurement and supplier engagement question
Insetting is harder than offsetting. That is the unfashionable truth most buyers eventually confront. Offsetting is a transaction; insetting is a relationship.
To run an insetting program, you need supplier mapping precise enough to know which farms or facilities sit at which Scope 3 boundary. You need an engagement model that gets suppliers to participate, which usually requires multi-year commitments and shared economics. You need an MRV architecture that measures the right things and produces audit-ready documentation. And you need a contractual structure that prevents double counting and protects both sides.
The trade-off you receive in return is significant. Reductions count against your inventory rather than your residual. Supplier relationships deepen, which protects sourcing continuity. Yield and quality improvements often follow regenerative interventions, which reduces your input cost over time. And the regulatory file, under CSRD, CSDDD, EUDR, and the SBTi FLAG Guidance, is materially stronger.
Choosing the right tool for the right target
A practical decision rule. If your target is a science-based Scope 3 reduction and you operate in a FLAG sector or source FLAG commodities, insetting is the structurally correct tool. If your target is a net-zero claim that includes neutralising hard-to-abate residual emissions outside your value chain, BVCM via high-integrity offsets is the structurally correct tool. Most companies with material Scope 3 exposure need both, in different proportions, sequenced over time.
The sequencing matters. Insetting takes longer to stand up but produces a permanent reduction in the inventory. Offsetting can be transacted faster but does not change the inventory and now sits under tighter claim restrictions. Treat them as complementary tools with different jobs, not as substitutes. The Accountability Framework Initiative and the IUCN Global Standard for Nature-based Solutions both provide useful guardrails for the insetting side, with biodiversity, human rights, and benefit-sharing requirements that go beyond carbon math.
If you are mapping a Scope 3 reduction roadmap and need to scope which interventions count toward your inventory versus which sit in Beyond Value Chain Mitigation, the carbon and sustainability experts at Carbon Credit Capital can help you structure a nature-based supply chain investment program that fits your FLAG exposure, your target architecture, and your audit horizon. Schedule a consultation.
Carbon Footprint
Net zero needs nature: a carbon credit guide
Net zero is often described as a balancing act: cut what you can, account for the rest, and reach zero on the ledger. That framing is useful, but it leaves something out. It treats every tonne of carbon as interchangeable and every route to zero as equally sound, while the science tells a more specific story.
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Carbon Footprint
Deforestation in Malawi: causes and solutions
Malawi has lost a striking share of its forests over the past three decades. Woodlands that once covered well over a third of the country now cover less than a quarter, and the pressure on what remains is increasing. Behind those figures sit two practical questions: what is driving the loss, and what reverses it?
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