Difference between revisions of "Cradle through consumer BEA"
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=== Dependencies === | === Dependencies === | ||
− | === | + | === Calculations === |
+ | |||
+ | <rcode name='initiate' label='Initiate variables' embed=1> | ||
+ | library(OpasnetUtils) | ||
+ | |||
+ | climate <- opbase.data("Op_en6286", subset = "Climate change") | ||
+ | ecosystem <- opbase.data("Op_en6286", subset = "Ecosystem quality") | ||
+ | health <- opbase.data("Op_en6286", subset = "Human health") | ||
+ | resources <- opbase.data("Op_en6286", subset = "Resources") | ||
+ | water <- opbase.data("Op_en6286", subset = "Water consumption") | ||
+ | |||
+ | water$Result <- water$Result * 3.785411784 # From gallons to litres | ||
+ | |||
+ | categories <- data.frame(climate[1:3] | ||
+ | levels(categories[["Category"]]) <- gsub(" ", "", levels(categories[["Category"]])) | ||
+ | # One training space may stay but $ does not work in regular expression. Why? | ||
+ | |||
+ | categories <- Ovariable("categories", data = categories, Result = 1)) | ||
+ | |||
+ | BEA <- rbind( | ||
+ | data.frame(Impact = "Climate change", Unit = "CO2eq /USD", climate[3:ncol(climate)]), | ||
+ | data.frame(Impact = "Ecosystem quality", Unit = "PDF m2 /a /USD", ecosystem), | ||
+ | data.frame(Impact = "Human health", Unit = "DALY /USD", health), | ||
+ | data.frame(Impact = "Resources", Unit = "MJ /USD", resources), | ||
+ | data.frame(Impact = "Water consumption", Unit = "L /USD", water) | ||
+ | ) | ||
+ | |||
+ | BEA <- Ovariable("BEA", data = BEA) | ||
+ | |||
+ | objects.store(categories, BEA) | ||
+ | |||
+ | cat("Ovariables BEA, categories saved. \n") | ||
+ | </rcode> | ||
==See also== | ==See also== |
Revision as of 15:03, 3 February 2014
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Contents
Question
What are the life-cycle impacts of products from cradle to consumer?
Answer
Rationale
Dependencies
Calculations
See also
Keywords
References
- ↑ Greg Norris: Personal communication 31 Jan 2014.