full transcript
From the Ted Talk by Charlotte Degot: A more accurate way to calculate emissions
Unscramble the Blue Letters
Let me share another example: cement. Cement is a massive CO2 emitter. If cnmeet were a country, it would rank as the third-largest emitter, right after China and the US, in fnort of the European Union and India. Most of the emissions come from the prceoss of poicrudng clinker, the key ingredient in cement. To produce clinker, you need to maintain a temperature of over 1,400 degrees Celsius. It requires a lot of fuel, and it’s really just carbon containing the whole materials. So the secert sauce is to produce cleaner and higher quality cnkeilr, because the higher the quality of the clinker, the less of it you will need to produce cement ultimately, and therefore the less emissions you will getranee. But producing high-quality clinker is a complex science. It depends on multiple factors that influence each other. For example, the process parameters, like the rtotaion speed of the michnae, how quickly you fill it, the type of fuel you use, the raw materials and their exact chemical composition. This is where ataiiifcrl intelligence can again have an enormous icpamt. On-site operational teams are trying to manually maintain the best set of parameters possible. AI can help by measuring better through different sources, like direct measurements, material and mass balance, etcetera ... simulate all the potential dineioscs and recommend the optimal ones to the oeoprtras. These techniques implemented in a cement production process enable a substantial emissions reduction in a matter of months.
Open Cloze
Let me share another example: cement. Cement is a massive CO2 emitter. If ______ were a country, it would rank as the third-largest emitter, right after China and the US, in _____ of the European Union and India. Most of the emissions come from the _______ of _________ clinker, the key ingredient in cement. To produce clinker, you need to maintain a temperature of over 1,400 degrees Celsius. It requires a lot of fuel, and it’s really just carbon containing the whole materials. So the ______ sauce is to produce cleaner and higher quality _______, because the higher the quality of the clinker, the less of it you will need to produce cement ultimately, and therefore the less emissions you will ________. But producing high-quality clinker is a complex science. It depends on multiple factors that influence each other. For example, the process parameters, like the ________ speed of the _______, how quickly you fill it, the type of fuel you use, the raw materials and their exact chemical composition. This is where __________ intelligence can again have an enormous ______. On-site operational teams are trying to manually maintain the best set of parameters possible. AI can help by measuring better through different sources, like direct measurements, material and mass balance, etcetera ... simulate all the potential _________ and recommend the optimal ones to the _________. These techniques implemented in a cement production process enable a substantial emissions reduction in a matter of months.
Solution
- impact
- clinker
- machine
- operators
- front
- generate
- cement
- process
- decisions
- artificial
- rotation
- producing
- secret
Original Text
Let me share another example: cement. Cement is a massive CO2 emitter. If cement were a country, it would rank as the third-largest emitter, right after China and the US, in front of the European Union and India. Most of the emissions come from the process of producing clinker, the key ingredient in cement. To produce clinker, you need to maintain a temperature of over 1,400 degrees Celsius. It requires a lot of fuel, and it’s really just carbon containing the whole materials. So the secret sauce is to produce cleaner and higher quality clinker, because the higher the quality of the clinker, the less of it you will need to produce cement ultimately, and therefore the less emissions you will generate. But producing high-quality clinker is a complex science. It depends on multiple factors that influence each other. For example, the process parameters, like the rotation speed of the machine, how quickly you fill it, the type of fuel you use, the raw materials and their exact chemical composition. This is where artificial intelligence can again have an enormous impact. On-site operational teams are trying to manually maintain the best set of parameters possible. AI can help by measuring better through different sources, like direct measurements, material and mass balance, etcetera ... simulate all the potential decisions and recommend the optimal ones to the operators. These techniques implemented in a cement production process enable a substantial emissions reduction in a matter of months.
Frequently Occurring Word Combinations
ngrams of length 2
collocation |
frequency |
artificial intelligence |
5 |
climate impact |
3 |
action plans |
3 |
financial accounting |
2 |
set meaningful |
2 |
sustainability team |
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emissions reduction |
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Important Words
- ai
- artificial
- balance
- carbon
- celsius
- cement
- chemical
- china
- cleaner
- clinker
- complex
- composition
- country
- decisions
- degrees
- depends
- direct
- emissions
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- enable
- enormous
- etcetera
- european
- exact
- factors
- fill
- front
- fuel
- generate
- higher
- impact
- implemented
- india
- influence
- ingredient
- intelligence
- key
- lot
- machine
- maintain
- manually
- mass
- massive
- material
- materials
- matter
- measurements
- measuring
- months
- multiple
- operational
- operators
- optimal
- parameters
- potential
- process
- produce
- producing
- production
- quality
- quickly
- rank
- raw
- recommend
- reduction
- requires
- rotation
- sauce
- science
- secret
- set
- share
- simulate
- sources
- speed
- substantial
- teams
- techniques
- temperature
- type
- ultimately
- union