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

  1. impact
  2. clinker
  3. machine
  4. operators
  5. front
  6. generate
  7. cement
  8. process
  9. decisions
  10. artificial
  11. rotation
  12. producing
  13. 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 2
emissions reduction 2

Important Words

  1. ai
  2. artificial
  3. balance
  4. carbon
  5. celsius
  6. cement
  7. chemical
  8. china
  9. cleaner
  10. clinker
  11. complex
  12. composition
  13. country
  14. decisions
  15. degrees
  16. depends
  17. direct
  18. emissions
  19. emitter
  20. enable
  21. enormous
  22. etcetera
  23. european
  24. exact
  25. factors
  26. fill
  27. front
  28. fuel
  29. generate
  30. higher
  31. impact
  32. implemented
  33. india
  34. influence
  35. ingredient
  36. intelligence
  37. key
  38. lot
  39. machine
  40. maintain
  41. manually
  42. mass
  43. massive
  44. material
  45. materials
  46. matter
  47. measurements
  48. measuring
  49. months
  50. multiple
  51. operational
  52. operators
  53. optimal
  54. parameters
  55. potential
  56. process
  57. produce
  58. producing
  59. production
  60. quality
  61. quickly
  62. rank
  63. raw
  64. recommend
  65. reduction
  66. requires
  67. rotation
  68. sauce
  69. science
  70. secret
  71. set
  72. share
  73. simulate
  74. sources
  75. speed
  76. substantial
  77. teams
  78. techniques
  79. temperature
  80. type
  81. ultimately
  82. union