CLEWS-KEN.yaml

# clewsy build parameterization yaml file
#   Variable definitions to update MoManI | Append/Update otoole models

Acronym_dict: {
  CCD: 'Country Code',
  RGN: 'Region Code',
  FLT: 'Filter Code',
  IND: 'Industry',
  RES: 'Residential',
  COM: 'Commercial',
  AGR: 'Agricultural',
  TRA: 'Transport',
  OTH: 'Other',
  BIO: 'Biomass',
  COA: 'Coal',
  CRU: 'Crude oil',
  DSL: 'Diesel',
  ELC001: 'Electricity from power plants',
  ELC002: 'Electricity from transmission',
  ELCKENXX01: 'Electricity from power plants',
  ELCKENXX02: 'Electricity from transmission',
  GSL: 'Gasoline',
  HFO: 'Heavy fuel oil',
  NGS: 'Natural gas',
  KER: 'Kerosene',
  LPG: 'LPG',
  OHC: 'Other hydrocarbons',
  GEO: 'Geothermal',
  HYD: 'Hydropower',
  SOL: 'Solar',
  WND: 'Wind',
  CHC: 'Charcoal',
  PCK: 'Petroleum coke',
  JFL: 'Jet fuel',
# Naming Convention for AgriculturalResidualCapacity
  BEA: 'Bean',
  MZE: 'Maize',
  COW: 'Cowpea',
  SOR: 'Sorghum',
  PTS: 'Sweet Potato',
  TEA: 'Tea',
  HI:  'High intensity Irrigated',
  IR:  'Intermediate intensity Rainfed',
  II:  'Intermediate intensity Irrigated'
}

# Model external dependencies: Directories & Files
################################################################
Model: CLEWS-KEN
Debug: 0             # ASR- Note: 1= Debug probes on; 0= No debug probes
OutputFormat: append_otoole
OperationModes: 'optn_mds.txt'
otooleOutputDirectory: 'data-out'
DataDirectoryName: './data-inp/gaezclstr-ken'
OsemosysGlobalPath: './data-inp/osemosys-ken'
ClusterBaseFileName: clustering_results_
PrecipitationClusterBaseFileName: clustering_results_prc_
EvapotranspirationClusterBaseFileName: clustering_results_evt_
IrrigationWaterDeficitClusterBaseFileName: clustering_results_cwd_

# Model Time Space parameters: Years, Land, Regions,... TimeSlices
################################################################
Years:
  - 2020
  - 2021
  - 2022
  - 2023
  - 2024
  - 2025
  - 2026
  - 2027
  - 2028
  - 2029
  - 2030
  - 2031
  - 2032
  - 2033
  - 2034
  - 2035

LandRegions:
  - TAI
  - NCA
  - NCB
  - NCC
  - NCD
  - NCE

LandToGridMap: {
  NCA:  KENXX,
  NCB:  KENXX,
  NCC:  KENXX,
  NCD:  KENXX,
  NCE:  KENXX,
  TAI:  KENXX,
}

LandUseCodes: {
  BAR: Barren and sparsely vegetated land,
  FOR: Forest land,
  GRS: Grassland & woodland,
  BLT: Built-up land,
  WAT: Water bodies,
  OTH: Other agricultural land  # Do we need this at all???
}

Regions: {GLOBAL: ['Global', '#000000']}

Timeslices: { #data from osemosys_global
  SEA1BAS: ['Season 1 baseload', '#000000'],
  SEA1INT: ['Season 1 intermediate', '#cc9900'],
  SEA1PEK: ['Season 1 peak', '#00cc66'],
  SEA2BAS: ['Season 2 baseload', '#ffffcc'],
  SEA2INT: ['Season 2 intermediate', '#99ff66'],
  SEA2PEK: ['Season 2 peak', '#cc3333']
}

# Model Land, Water parameters: Irrigation type, Rainfed,...
################################################################
IntensityList: {
  L: Low,
  I: Intermediate,
  H: High
}

IrrigationTypeList: {
  R: Rain-fed,
  I: Irrigation
}

EvapotranspirationPercentPRCOtherLandUse: {
  # Percentages taken from Bolivia model by Abhi.
  BAR: 0.773,
  FOR: 0.691,
  GRS: 0.694,  # Numbers from Bolivia.  SET is settled, or BLT.
  BLT: 0.631,
  WAT: 0.571,
  OTH: 0.694   # Used GRS for OTH
}

GroundwaterPercentofExcessOtherLandUse: {
  # Since other land types are more likely to have a different ratio.
  BAR: 0.009,
  FOR: 0.077,
  GRS: 0.051,
  BLT: 0.072,  # Numbers from water ratios from Bolivia.  SET is BLT.
  WAT: 0.017,
  OTH: 0.051   # Used GRS for OTH
}

# Precent of excess water (Irrigation + Precipitation - Evapotranspiration) that returns as groundwater.  Rest returns as Runoff.
# GroundwaterPercentofExcess: Value for grassland. Need a better number...
GroundwaterPercentofExcess: 0.051

# Model Energy parameters: Fuels, Transformation Tech,...
################################################################
EndUseFuels: {
  IND: ['COA', 'LPG', 'KER', 'DSL', 'HFO', 'OHC', 'BIO', 'NGS', 'ELCKENXX02'],
  RES: ['LPG', 'KER', 'BIO', 'NGS', 'ELCKENXX02'],
  COM: ['KER', 'DSL', 'LPG', 'BIO', 'NGS', 'ELCKENXX02'],
  AGR: ['DSL', 'ELCKENXX02'],
  TRA: ['GSL', 'KER', 'DSL', 'HFO', 'NGS', 'ELCKENXX02']
}

ImportFuels: [] # ['COA', 'CRU', 'LPG', 'GSL', 'KER', 'DSL', 'HFO']

ExportFuels: [] # ['COA', 'NGS', 'CRU', 'GSL', 'KER', 'HFO', 'BIO']

DomesticMining: [] # ['COA', 'NGS', 'CRU']

DomesticRenewables: [] # ['WND', 'HYD', 'BIO', 'SOL', 'GEO']

# Note:  Transformation technologies assume that their fuels are created elsewhere (either in the DomesticMining, DomesticRenewables or ImportFuels.
TransformationTechnologies: [
    ['PWRTRNX01', 'ELCKENXX01', '1.11', 'ELCKENXX02', '1', 'Power transmission', '1'],  # 90% efficient transmission system (losses)

    # Structure of data is:  [Tech, InFuel, IAR, OutFuel, OAR, Name, Mode]
    # If the FUEL is '' that piece will not be created.
    # Name is used only the first time this technology shows up.  Fuels are created only if needed.
    # If multiple lines for the same technology, this technology will have multiple input and output activity ratios.
    # Note:  This section can also be used to add input or output fuels to various technologies (cooling water, for example)

]

# Power Plants: #Data from osemosys_global
PowerPlants: {
}

Emissions: {
  CO2: ['Carbon dioxide emissions.', '#000000']}

# Model Agriculture & Crop yield  parameters:
################################################################
# AgriculturalResidualCapacityRetirementYears
AgriculturalResidualCapacityRetirementYears: 15

CropYieldFactors: { #keep, change names to match clustering
    COW: 1,
    BEA: 1,
    SOR: 1,
    MZE: 1,
    TEA: 1,
    PTS: 1
}

AgriculturalResidualCapacity: {
}

AgriculturalCapitalCost: [
]

# AgriculturalVariableCost: {
#    RAPHIBC:  5,
#    ...
#    OTHIIBC:  5,
#    OTHIRBC:  6
# }
#
# AgriculturalOperationalLife: {
#    RAPHIBC:  5,
#    ...
#    OTHIIBC:  5,
#    OTHIRBC:  6
# }