LCA of a coffee cup: Difference between revisions

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objects.latest("Op_en5902", code_name = "initiate") # [[Damage vector for life-cycle analysis]]. We need damagesPerImpact, impactsPerDollar, damages.
objects.latest("Op_en5902", code_name = "initiate") # [[Damage vector for life-cycle analysis]]. We need damagesPerImpact, impactsPerDollar, damages.


objects.latest("Op_en5904", code_name = "initiate") # [[Damage vector for life-cycle analysis]]. We need normalisation.
objects.latest("Op_en5904", code_name = "initiate") # [[Normalisation data for life cycle assessments]]. We need normalisation.


# Take the direct requirements of an activity (in this case, producing a cup of coffee).
# Take the direct requirements of an activity (in this case, producing a cup of coffee).
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cat("Primary prosesses related to a cup of coffee (in Euro)\n")
cat("Primary prosesses related to a cup of coffee (in Euro)\n")
oprint(activity)
oprint(activity)
# This is not needed because zero rows are just redundant and ovariable product is more flexible than matrix product.
# Combine the direct requirements of a coffee cup with a full vector of requirements and fill empty cells with 0.
#activity <- merge(
# unique(EvalOutput(impactsPerDollar)@output["Purchasing_sector"]),
# activity,
# all.x = TRUE
#)
#
#activity$Result[is.na(activity$Result)] <- 0


activity <- Ovariable("activity", data = activity)
activity <- Ovariable("activity", data = activity)
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damages <- EvalOutput(damages)
damages <- EvalOutput(damages)


damages <- truncateIndex(damages, c("Purchasing_sector", "Damage_categories")) # Truncates # of bins to 10.
damages2 <- truncateIndex(damages, c("Unique_categories", "Damage_categories")) # Truncates number of levels of each index to 10.


# Plot results on a bar graph.
# Plot results on a bar graph.


cat("Effects smaller than or equal to ", limit / sum(sums$Freq) * 100, " % of the total effect are not shown. Numbers are NOT normalised, because there seems to be something strage in normalisaton.\n")
cat("At most ten largest damage categories or purchasing sectors are shown.\n")


ggplot(damages@output, aes(x = Damage_categories, weight = damagesResult, fill = Purchasing_sector)) + geom_bar() +
ggplot(damages2@output, aes(x = Damage_categories, weight = damagesResult, fill = Purchasing_sector)) + geom_bar() +
theme_grey(base_size = 18) +
theme_grey(base_size = 18) +
theme(axis.text.x = element_text(angle = 45)) +
theme(axis.text.x = element_text(angle = 45)) +
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)
)


ggplot(damages@output, aes(x = Damage_categories, weight = damagesResult, fill = Damage_categories)) + geom_bar() +
ggplot(damages2@output, aes(x = Damage_categories, weight = damagesResult, fill = Unique_categories)) + geom_bar() +
theme_grey(base_size = 18) +
theme_grey(base_size = 18) +
theme(axis.text.x = element_text(angle = 45)) +
theme(axis.text.x = element_text(angle = 45)) +
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y = "Amount"
y = "Amount"
)
)
damages2 <- truncateIndex(damages, c("Unique_categories", "Damage_categories", "Purchasing_sector"), bins = 4) # Truncates # of bins to 4.
oprint(summary(damages2))


</rcode>
</rcode>
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===Data===
===Data===
<t2b name="Products"
index="Product,Activity category,Unit,Conditions,URL"
obs="Dummy"
desc="Description"
unit="-"
>
Regular coffee|Food and beverage service activities|cup||http://en.opasnet.org/w/LCA_of_a_coffee_cup||A cup of regular coffee made with a typical coffee machine and drank from a ceramic cup. Benefits: tastes good, stimulates.
Instant coffee|Food and beverage service activities|cup||http://en.opasnet.org/w/LCA_of_a_coffee_cup||A cup of instant coffee made with water from water heater and drank from a plastic cup. Benefits: tastes good, stimulates.
Water|Food and beverage service activities|L||http://en.opasnet.org/w/LCA_of_a_coffee_cup||Tap water
Coffee powder|Food and beverage service activities|kg||http://en.opasnet.org/w/LCA_of_a_coffee_cup||Regular coffee powder
Instant coffee powder|Food and beverage service activities|kg||||Instant coffee powder
Electricity|Eletricity, gas, steam and air conditioning supply|kWh||http://en.opasnet.org/w/Energy_balance_in_Kuopio||
Ceramic cup|Manufacture of fabricated metal products, except machinery and equipment|product-years||||
Coffee machine|Manufacture of fabricated metal products, except machinery and equipment|product-years||||
Water heater|Manufacture of fabricated metal products, except machinery and equipment|product-years||||
</t2b>
<t2b name="Processes"
index="Process,Product,Unit,Conditions"
obs="Amount"
desc="Description"
unit="-"
>
Coffee making|Regular coffee|cup||1|Making coffee with a regular coffee machine at home
Coffee making|Water|L||-0.2|
Coffee making|Coffee powder|kg||-0.005|
Coffee making|Electricity|kWh||-0.01|
Coffee making|Ceramic cup|product-years||-0.003|
Coffee making|Coffee machine|product-years||-0.003|
Instant coffee making|Instant coffee|cup||1|Making coffee from instant coffee powder at work
Instant coffee making|Water|L||-0.2|
Instant coffee making|Instant coffee powder|kg||-0.002|
Instant coffee making|Electricity|kWh||-0.01|
Instant coffee making|Plastic cup|#||-1|
Instant coffee making|Water heater|product-years||-0.0003|
</t2b>
<t2b
name="Product balances"
index="Equation"
obs="Dummy"
desc="Description"
unit="#"
>
Coffee making: Regular coffee + Instant coffee making: Instant coffee = 25000000||Five million people in Finland drink five cups of coffee per day.
Instant coffee making: Instant coffee = 0.2 * Coffee making: Regular coffee||
</t2b>


The data are based on discussions at [[CII]], January 2013.<ref>Gregory Norris, personal communication.</ref>
The data are based on discussions at [[CII]], January 2013.<ref>Gregory Norris, personal communication.</ref>
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==See also==
==See also==


* [[Damage vector for life cycle analysis]]
* [[Damage vector for life-cycle analysis]]
* [[Normalisation data for life-cycle assessments]]
* [[Normalisation data for life cycle assessments]]


==Keywords==
==Keywords==

Latest revision as of 21:08, 1 January 2014



Question

What are the life cycle impacts of a coffee cup?

Answer

+ Show code

Rationale

Data

Products(-)
ObsProductActivity categoryUnitConditionsURLDummyDescription
1Regular coffeeFood and beverage service activitiescuphttp://en.opasnet.org/w/LCA_of_a_coffee_cupA cup of regular coffee made with a typical coffee machine and drank from a ceramic cup. Benefits: tastes good, stimulates.
2Instant coffeeFood and beverage service activitiescuphttp://en.opasnet.org/w/LCA_of_a_coffee_cupA cup of instant coffee made with water from water heater and drank from a plastic cup. Benefits: tastes good, stimulates.
3WaterFood and beverage service activitiesLhttp://en.opasnet.org/w/LCA_of_a_coffee_cupTap water
4Coffee powderFood and beverage service activitieskghttp://en.opasnet.org/w/LCA_of_a_coffee_cupRegular coffee powder
5Instant coffee powderFood and beverage service activitieskgInstant coffee powder
6ElectricityEletricity, gas, steam and air conditioning supplykWhhttp://en.opasnet.org/w/Energy_balance_in_Kuopio
7Ceramic cupManufacture of fabricated metal products, except machinery and equipmentproduct-years
8Coffee machineManufacture of fabricated metal products, except machinery and equipmentproduct-years
9Water heaterManufacture of fabricated metal products, except machinery and equipmentproduct-years
Processes(-)
ObsProcessProductUnitConditionsAmountDescription
1Coffee makingRegular coffeecup1Making coffee with a regular coffee machine at home
2Coffee makingWaterL-0.2
3Coffee makingCoffee powderkg-0.005
4Coffee makingElectricitykWh-0.01
5Coffee makingCeramic cupproduct-years-0.003
6Coffee makingCoffee machineproduct-years-0.003
7Instant coffee makingInstant coffeecup1Making coffee from instant coffee powder at work
8Instant coffee makingWaterL-0.2
9Instant coffee makingInstant coffee powderkg-0.002
10Instant coffee makingElectricitykWh-0.01
11Instant coffee makingPlastic cup#-1
12Instant coffee makingWater heaterproduct-years-0.0003
Product balances(#)
ObsEquationDummyDescription
1Coffee making: Regular coffee + Instant coffee making: Instant coffee = 25000000Five million people in Finland drink five cups of coffee per day.
2Instant coffee making: Instant coffee = 0.2 * Coffee making: Regular coffee

The data are based on discussions at CII, January 2013.[1]

Direct inputs of a coffee cup(Euro)
ObsPurchasing_sectorResultDescription
131131A - Sugar cane mills and refining0.1
2112120 - Dairy cattle and milk production0.2
3311820 - Cookie, cracker, and pasta manufacturing0.5
4311920 - Coffee and tea manufacturing0.2
5221100 - Electric power generation, transmission, and distribution0.1
6322299 - All other converted paper product manufacturing0.04
7335210 - Small electrical appliance manufacturing0
8335221 - Household cooking appliance manufacturing0.01

See also

Keywords

References

  1. Gregory Norris, personal communication.

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