the research consultancy for energy technologies

Power Grids

  • Gas generation: what kind of bear is best?

    Gas generation: what kind of bear is best?

    This 17-page report compares combined cycle gas turbines (CCGTs), heavy-duty gas turbines, aeroderivative gas turbines, reciprocating engines and solid oxide fuel cells (SOFCs), on ten dimensions. No one gas generation technology is best. But modular solutions may increasingly rival CCGTs, especially for energizing AI data-centers?

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  • Power grids: opportunities in the energy transition?

    Power grids: opportunities in the energy transition?

    Power grids move electricity from the point of generation to the point of use, while aiming to maximize the power quality, minimize costs and minimize losses. Broadly defined, global power grids and power electronics investment must step up 5x in the energy transition, from a $750bn pa market to over $3.5trn pa. But this theme…

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  • Wicked smart: what if AI re-shaped the power grid?

    Wicked smart: what if AI re-shaped the power grid?

    What if AI re-shaped the power grid? This 16-page report sees potential to halve levelized T&D costs; de-bottleneck 4.5% pa of global electricity demand growth; and shift over $100bn pa of spending away from high-voltage capital goods to low-voltage smart devices and networking equipment.

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  • Smart meter installations by region over time?

    Smart meter installations by region over time?

    Our smart meter data-file cpatures 1.1bn global smart meter installations by region and over time. Smart meters automate the submission of consumption data to the grid, while opening the door to real-time monitoring and load disaggregation, which can reduce total demand by 9% and peak demand by 13%. Opportunities are growing alongside AI. Leading companies…

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  • Itron: smart energy network technology?

    Itron: smart energy network technology?

    Itron is a US-leader in smart energy meters and smart energy networks. Once you have these smart meters widely deployed across the electricity network, you can start to do really interesting things. This data-file gathers concrete examples of Itron’s smart energy network technology, based on reviewing 15 patents.

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  • Peak loads: can batteries displace gas peakers?

    Peak loads: can batteries displace gas peakers?

    Peak loads in power grids are caused by heatwaves (in the US) and cold snaps (in Europe), which last 2-14 days. This 16-page report finds that very large batteries would be needed to ride through these episodes, costing 2-20x more than gas peakers. But the outlook differs interestingly between the US vs Europe.

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  • Peak power demand by region (and case studies)

    Peak power demand by region (and case studies)

    This data-file tracks the timing and magnitude of peak power demand, across different grids in the North Hemisphere, with case studies. This matters for grid-planning, gas peakers and batteries. In the US, peak demand is typically driven by high AC loads in summer heatwaves. In Europe’s milder climate, only c10% of homes have AC, and…

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  • Power grid bottlenecks: flattening the curve?

    Power grid bottlenecks: flattening the curve?

    Will persistent grid bottlenecks de-rail electricity growth? This 18-page report explores using batteries and smart energy systems to reduce the need for new power lines. This option can be surprisingly economical, when back-tested on real-world load profiles. Hence we are upgrading our battery outlook.

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  • US electricity demand: by sector, by use, over time?

    US electricity demand: by sector, by use, over time?

    US electricity sales reached 4,000 TWH in 2024, rising +2.3% YoY, and bringing the trailing ten-year CAGR to 0.5% pa. The current breakdown is 38% residential, 36% commercial, 26% industrial. All three are now growing. To help understand load growth, this data-file is a breakdown of US electricity demand by sector, by use and over…

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  • Load profiles in power grids?

    Load profiles in power grids?

    Load profiles depict how the power running through a particular cross-section of the grid varies over time, ranging from individual homes, through giant GVA-scale transmission lines. Load profile data are unfortunately not widely available, however, we have aggregated a dozen case studies from technical papers, in this data-file, to help decision-makers with grid-modeling.

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