Retaining aluminum smelter overcapacity enables seasonal shutdowns that reduce China's decarbonized electricity system costs by 23-32 billion CNY per year.
PyPSA: Python for Power System Analysis
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abstract
Python for Power System Analysis (PyPSA) is a free software toolbox for simulating and optimising modern electrical power systems over multiple periods. PyPSA includes models for conventional generators with unit commitment, variable renewable generation, storage units, coupling to other energy sectors, and mixed alternating and direct current networks. It is designed to be easily extensible and to scale well with large networks and long time series. In this paper the basic functionality of PyPSA is described, including the formulation of the full power flow equations and the multi-period optimisation of operation and investment with linear power flow equations. PyPSA is positioned in the existing free software landscape as a bridge between traditional power flow analysis tools for steady-state analysis and full multi-period energy system models. The functionality is demonstrated on two open datasets of the transmission system in Germany (based on SciGRID) and Europe (based on GridKit).
fields
physics.soc-ph 2years
2025 2verdicts
UNVERDICTED 2representative citing papers
Energy system modeling shows methanol backstop increases costs 2.4% over hydrogen in high-electrification carbon-neutral scenarios while simplifying logistics.
citing papers explorer
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Industrial overcapacity can enable seasonal flexibility in electricity use
Retaining aluminum smelter overcapacity enables seasonal shutdowns that reduce China's decarbonized electricity system costs by 23-32 billion CNY per year.
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A Minimal Methanol Backstop for High Electrification Scenarios
Energy system modeling shows methanol backstop increases costs 2.4% over hydrogen in high-electrification carbon-neutral scenarios while simplifying logistics.