TransitionZero @transitionzero.org · Oct 21 To find out, we developed a 1-node model of Taiwan’s 2030 power system using the open-source Python for Power System Analysis (PyPSA) package, with hourly resolution.
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The results are clear: if 5% of Taiwan’s grid electricity demand adopted 80% CFE, a least-cost approach that prioritises maximising cheaper onshore wind, solar and geothermal before turning to more expensive technologies, it would translate into system-wide savings of roughly US$1 billion per year.