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This json-ld template is used to store metadata information commonly used to describe photovoltaic (PV) Modules. There is information included on the cells, encapsulant, backsheet, electrical properties, and module dimensions.
Note that a lot of the material included in this json pulls from the OrangeButton Taxonomy.
library(FAIRmaterials)
# An example data frame for PV Modules
<- data.frame('CellTechnologyType' = c('PERC', 'Al-BSF'),
module_example 'CellMaterial' = c('mono-crystalline', 'poly-crystalline'),
'EncapsulantMaterial' = c('EVA', 'POE'),
'BacksheetMaterial' = c('PVF', 'PET'),
'BacksheetColor' = c('White', 'Black'),
'ProdMfr' = c('CSI', 'FirstSolar'),
'ProdCode' = c('BiHiKu7', 'BiHiKu7255'),
'CellCount' = c(60, 72),
'ModuleEfficiency' = c(20.1, 22),
'GlassThickness' = c(2, 1.5), # GT and J_Box are not included in the
'J_Box' = c('IP68', 'IP70')) # base template, but they still have a spot!
# This will generate JSON-LD file for the example data
<- fairify_data(module_example, domain = 'PVModule', saveLocal = TRUE) output
from fairmaterials.fairify_data import *
import pandas as pd
# An example data frame for PV Modules
= {'CellTechnologyType' : ['PERC', 'Al-BSF'],
module_example 'CellMaterial' : ['mono-crystalline', 'poly-crystalline'],
'EncapsulantMaterial' : ['EVA', 'POE'],
'BacksheetMaterial' : ['PVF', 'PET'],
'BacksheetColor' : ['White', 'Black'],
'ProdMfr' : ['CSI', 'FirstSolar'],
'ProdCode' : ['BiHiKu7', 'BiHiKu7255'],
'CellCount' : [60, 72],
'ModuleEfficiency' : [20.1, 22]}
= pd.DataFrame(module_example)
module_example
# This will generate JSON-LD file for the example data
<- fairify_data(module_example, domain = 'PVModule') output
This material is based upon work supported by the U.S. Department of Energy’s Office of Energy Efficiency and Renewable Energy (EERE) under Solar Energy Technologies Office (SETO) Agreement Number DE-EE0009347.
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