the research consultancy for energy technologies

Demand

  • Global energy: supply-demand model?

    Global energy: supply-demand model?

    This global energy supply-demand model combines our supply outlooks for coal, oil, gas, LNG, wind and solar, nuclear and hydro, into a build-up of useful global energy balances in 2023-30. 2026 will be a year of recalibration, as global energy markets shift from c1% over-supply in 2025 to -0.5% under-supply in 2027?

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  • Residential heating costs: boilers, furnaces, electric and heat pumps?

    Residential heating costs: boilers, furnaces, electric and heat pumps?

    Residential heating costs are compared and contrasted in this data-file, for gas-fired combi boilers, gas furnaces and hot water tanks, oil furnaces and hot water tanks, purely electric heating systems including immersion heaters, air-source heat pumps and ground-source heat pumps. Capex, maintenance and input energy prices can be stress-tested.

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  • Could thermoelectric materials change the world?

    Could thermoelectric materials change the world?

    Next-generation thermoelectrics, if discovered by AI, could be a world-changer, converting heat to electricity at 10-50% efficiency, costing $500/kWe. 10,000 TWH of incremental electricity could be generated, worth $500-1,000bn pa. This 17-page report outlines our ‘top ten’ use cases for thermoelectrics.

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  • Residential heating energy from first principles?

    Residential heating energy from first principles?

    This data-file models residential heating energy from first principles, taking an example in Northern Europe, for a house with 150m2 floor space, requiring 15MWth of heat (space heating and hot water), which is met by consuming 5MWH-e pa in a heat pump, costing $1,500/year. But this can also be optimized.

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  • Internet energy consumption: data, models, forecasts?

    Internet energy consumption: data, models, forecasts?

    This data-file forecasts the energy consumption of the internet, rising from 800 TWH in 2022 to 2,000 TWH in 2030 and over 4,000 TWH by 2050. The main driver is the energy consumption of AI, plus blockchains, rising traffic, and offset by rising efficiency. Input assumptions to the model can be flexed. Underlying data are…

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  • Robotics companies: construction, agriculture, forestry, logistics?

    Robotics companies: construction, agriculture, forestry, logistics?

    Mobile robotics companies are screened in this data-file, finding transformational impacts in construction, agriculture, forestry, and solar installation. The average robot operates 50% faster and at 50% lower cost than manual methods. 50% of the robots are battery powered, 25% are diesel and 15% are wired. Interesting companies are in the data-file.

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  • Compressor costs: a simple overview?

    Compressor costs: a simple overview?

    This data-file aims to give a helpful, basic overview of the $40bn pa compressor market, between centrifugal, reciprocating and screw compressors. A typical industrial unit is 50kW and costs $850/kW on an installed basis. Companies and efficiency calculations are also given.

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  • Electrical appliances: will AI accelerate efficiency gains?

    Electrical appliances: will AI accelerate efficiency gains?

    500,000 AI-related patents were filed in 2025. But electrical appliance manufacturers were particularly active. Hence we used AI ourselves, in this 14-page report, to home in on 50 key patents, which will improve efficiency and flexibility of electrical appliances using AI – in HVAC, lighting, refrigerators, TVs, etc. – which make up 50% of the…

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  • India: electricity demand and power grid over time?

    India: electricity demand and power grid over time?

    India’s electricity demand is growing by 6-8% (+100-140 TWH) per year, but 75% of the total still comes from coal, which has itself grown at a 6% CAGR in the past half-decade. India seems to be industrializing primarly around coal + solar, in relatively equal proportions?

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  • China energy supply-demand model?

    China energy supply-demand model?

    This data-file is our China Energy Model and China CO2 Model, disaggregating China’s energy demand by industry, across coal, oil, gas, wind, solar, hydro and nuclear, across c200 lines, from 2000-2060, with 20-input variables that can be stress-tested. By 2050, useful energy demand rises by 38%, electricity demand doubles, and CO2 falls back by 40%.

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