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Climate component

The connecting thread of the nexus — emissions tie the energy, land and water subsystems to BC's decarbonization targets.

CLEWs · Climate

What 'Climate' means here

In CLEWs, climate is not a separate physical sub-model but the accounting layer that couples every subsystem to greenhouse-gas emissions. Any technology — a power plant, a tractor in agriculture, a fertiliser process, a water pump — can carry an emission factor, so its operation contributes to annual and cumulative emissions. The model's decarbonization question (how to meet BC targets cost-effectively) is therefore answered across energy, land and water simultaneously.

In the code, climate enters through EmissionActivityRatio (emissions per unit activity), EmissionsPenalty (a carbon price added to the objective), and the caps AnnualEmissionLimit / ModelPeriodEmissionLimit.

How it links the other three

FromClimate linkage
EnergyCO₂ from fossil combustion (NGS, DSL, COA, CRU); avoided by electrification & hydrogen
Land / FoodCH₄ & N₂O from agriculture, CO₂ from land-use change; bioenergy crops as a carbon sink/source
WaterEnergy used to pump/treat water carries its own emissions (an indirect climate cost)

The base model focuses on CO₂ emissions; the same machinery generalises to any pollutant in the EMISSION set.

Why it is the 'C' that integrates the rest

Without a shared climate metric, the three subsystems would optimise independently. By pricing and capping emissions everywhere, climate forces trade-offs to surface — e.g. whether to irrigate a bioenergy crop (land + water + energy cost) versus deploy wind (energy + land cost) to cut the same tonne of CO₂. That cross-cutting tension is the entire point of a nexus model.

Base-model specifics (BC)

The tracked pollutant is CO₂-equivalent, entering through EmissionActivityRatio for every activity across the energy, land and water systems. Emission factors are from the US EPA (2018) and BC carbon-intensity records.

  • Carbon price (via EmissionsPenalty) follows BC's tax: ~$45/t (2020) → $170/t (2030+).
  • Forests as CCS: forest-land technologies carry a negative variable cost, so the optimiser is rewarded for retaining/adding forest — folding reforestation/deforestation into the cost objective. Estimated value ~$2–8M per 1000 km²/yr over 2020–2050.