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- data refers to wood 'under bark'. CO2 assimilation is based on 49.4% carbon in the wood including the bark (11%). Biomass energy equals gross calorific value including bark. dataset ... — find similar pages
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- data refers to wood 'under bark'. CO2 assimilation is based on 49.4% carbon in the wood including the bark (11%). Biomass energy equals gross calorific value including bark. dataset ... — find similar pages
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- data refers to wood 'under bark'. CO2 assimilation is based on 49.4% carbon in the wood including the bark (11%). Biomass energy equals gross calorific value including bark. dataset ... — find similar pages
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- Where data on CO2 emission factors for specific fuels are not available, an emissions factor can be derived if the carbon content of the fuel is known. This is based on the known ... — find similar pages
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- There has been a rising trend in average global temperatures over the last century accompanied by a rise in the percentage of carbon dioxide in the atmosphere. It is believed that the rise in carbon ... — find similar pages
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- Electricity disclosure for residual grid mixes in the Nordic countries. — find similar pages
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- The AMEE category /business/benchmark/co2benchmark/sector provides data on the greenhouse gas emissions associated with various industrial and commercial sectors, sourced from ... — find similar pages
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- Electricity disclosure for residual grid mixes in the Nordic countries. — find similar pages
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- Life cycle methodology, materials. Calculates embodied energy and carbon dioxide (CO2) and CO2e emissions based on the quantity of materials used (by mass). Scenarios include specific metals, construction materials, ceramics, plastics and timber. Mixed geographical scopes. — find similar pages
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- Life cycle methodology, materials. Calculates embodied energy and carbon dioxide (CO2) and CO2e emissions based on the quantity of materials used (by area). Scenarios include paint, carpet, photovoltaic cells and roads. Mixed geographical scopes. — find similar pages