LCA of a coffee cup

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Question

What are the life cycle impacts of a coffee cup?

Answer

+ Show code- Hide code library(OpasnetUtils) library(ggplot2) objects.latest("Op_en6007", code_name = "answer") # [[OpasnetUtils/Drafts]]. We need truncateIndex. 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") # [[Normalisation data for life cycle assessments]]. We need normalisation. # Take the direct requirements of an activity (in this case, producing a cup of coffee). activity <- opbase.data("Op_en5902.coffee_cup_inputs") activity$Obs <- NULL # Remove the redundant Obs column. cat("Primary prosesses related to a cup of coffee (in Euro)\n") oprint(activity) activity <- Ovariable("activity", data = activity) damages <- EvalOutput(damages) damages2 <- truncateIndex(damages, c("Unique_categories", "Damage_categories")) # Truncates number of levels of each index to 10. # Plot results on a bar graph. cat("At most ten largest damage categories or purchasing sectors are shown.\n") ggplot(damages2@output, aes(x = Damage_categories, weight = damagesResult, fill = Purchasing_sector)) + geom_bar() + theme_grey(base_size = 18) + theme(axis.text.x = element_text(angle = 45)) + labs( title = "Life cycle impacts of a cup of coffee", x = "Damage", y = "Amount" ) ggplot(damages2@output, aes(x = Damage_categories, weight = damagesResult, fill = Unique_categories)) + geom_bar() + theme_grey(base_size = 18) + theme(axis.text.x = element_text(angle = 45)) + labs( title = "Life cycle impacts of a cup of coffee", x = "Damage", y = "Amount" ) damages2 <- truncateIndex(damages, c("Unique_categories", "Damage_categories", "Purchasing_sector"), bins = 4) # Truncates # of bins to 4. oprint(summary(damages2))

Rationale

Data

Products(-)

Obs	Product	Action context	Action category	Unit	Conditions	URL	Dummy	Description
1	Regular coffee	Home	Foods and drinks	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.
2	Instant coffee	Home	Foods and drinks	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.
3	Water	Home	Foods and drinks	L		http://en.opasnet.org/w/LCA_of_a_coffee_cup		Tap water
4	Coffee powder	Home	Foods and drinks	kg		http://en.opasnet.org/w/LCA_of_a_coffee_cup		Regular coffee powder
5	Instant coffee powder	Home	Foods and drinks	kg				Instant coffee powder
6	Electricity	Energy	Energy production	kWh		http://en.opasnet.org/w/Energy_balance_in_Kuopio
7	Ceramic cup	Home	Kitchenware	product-years
8	Coffee machine	Home	Kitchenware	product-years
9	Water heater	Home	Kitchenware	product-years

Processes(-)

Obs	Process	Product	Unit	Conditions	Amount	Description
1	Coffee making	Regular coffee	cup		1	Making coffee with a regular coffee machine at home
2	Coffee making	Water	L		-0.2
3	Coffee making	Coffee powder	kg		-0.005
4	Coffee making	Electricity	kWh		-0.01
5	Coffee making	Ceramic cup	product-years		-0.003
6	Coffee making	Coffee machine	product-years		-0.003
7	Instant coffee making	Instant coffee	cup		1	Making coffee from instant coffee powder at work
8	Instant coffee making	Water	L		-0.2
9	Instant coffee making	Instant coffee powder	kg		-0.002
10	Instant coffee making	Electricity	kWh		-0.01
11	Instant coffee making	Plastic cup	#		-1
12	Instant coffee making	Water heater	product-years		-0.0003

Product balances(#)

Obs	Equation	Dummy	Description
1	Coffee making: Regular coffee + Instant coffee making: Instant coffee = 25000000		Five million people in Finland drink five cups of coffee per day.
2	Instant coffee making: Instant coffee = 0.2 * Coffee making: Regular coffee

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

Direct inputs of a coffee cup(Euro)

Obs	Purchasing_sector	Result	Description
1	31131A - Sugar cane mills and refining	0.1
2	112120 - Dairy cattle and milk production	0.2
3	311820 - Cookie, cracker, and pasta manufacturing	0.5
4	311920 - Coffee and tea manufacturing	0.2
5	221100 - Electric power generation, transmission, and distribution	0.1
6	322299 - All other converted paper product manufacturing	0.04
7	335210 - Small electrical appliance manufacturing	0
8	335221 - Household cooking appliance manufacturing	0.01

See also

• Damage vector for life-cycle analysis
• Normalisation data for life cycle assessments