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  • Global commodity demand: sensitivity to GDP?

    Global commodity demand: sensitivity to GDP?

    Global commodity demand is levered to GDP. Specifically, for each +/- 1% acceleration or deceleration in global GDP, commodity demand tends to accelerate or decelerate by +/- 1.4%, with a 70% R-squared, across 25 examples that are indexed in this data-file. Oil demand sensitivity to GDP is particularly interesting.

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  • Global commodity trade: by product by region?

    Global commodity trade: by product by region?

    Commodities comprise over $6trn of of the world’s $33trn pa in global trade, or around 20%, alongside $10trn in services, $2trn of electronic goods, $1trn in cars, $1trn in mechanical capital goods. This data-file breaks down global commodity imports and exports, by country and by region.

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  • CO2 intensity of materials: an overview?

    CO2 intensity of materials: an overview?

    This data-file tabulates the energy intensity and CO2 intensity of materials, in tons/ton of CO2, kWh/ton of electricity and kWh/ton of total energy use per ton of material. The build-ups are based on 160 economic models that we have constructed to date, and simply intended as a helpful summary reference. Our key conclusions on CO2…

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  • Global hydrogen: market breakdown?

    Global hydrogen: market breakdown?

    This data-file is a global hydrogen market breakdown, disaggregating the 110MTpa market (mainly ammonia, methanol and refining), how it is met via different production technologies, and our estimates of those technologies’ costs (in $/kg) and CO2 intensities (in kg/kg or tons/ton).

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  • Reforestation: what planting density for seedlings?

    Reforestation: what planting density for seedlings?

    What is the typical planting density for reforestation projects globally? This matters as it can determine the costs of reforestation. Hence in this data-file we have collated data from 25 different case studies globally, which have tended to plant a median of 670 seedlings per acre (1,650 per hectare).

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  • 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. Energy markets can be well-supplied from 2025-30, barring and disruptions, but only because emerging industrial superpowers will continuing using high-carbon coal.

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  • Room for reforestation: a database of global land use?

    Room for reforestation: a database of global land use?

    The purpose of this data-file is to provide helpful data on how land is used globally, and thus to quantify how much land is available for nature based solutions such as reforestation. Deep-dive details are provided on degraded land, agricultural land, natural ecosystems and reforestable lands.

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  • Fuel costs and CO2 intensities?

    Fuel costs and CO2 intensities?

    We have produced a cross-plot of the costs and CO2 intensities of different fuels, in $/boe and kg of CO2 per boe, to compre the relative attractiveness of decarbonization options. Favored decarbonization options are nature based solutions, CO2-EOR, blue hydrogen and coal-to-gas switching.

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  • Energy economics: an overview?

    Energy economics: an overview?

    This data-file provides an overview of energy economics, across 175 different economic models constructed by Thunder Said Energy, in order to put numbers in context. This helps to compare marginal costs, capex costs, energy intensity, interest rate sensitivity, and other key parameters that matter in the energy transition.

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  • Formaldehyde production: the economics?

    Formaldehyde production: the economics?

    Formaldehyde producton costs are captured in this data-file, covering one of the ‘top 50’ commodity chemicals intermediates (MDF, wind turbine blades, disinfectants). Marginal cost is $500/ton, a direct linear function of gas prices. Embedded CO2 is 0.75 tons/ton, of which 90% is from methanol inputs.

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