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Input preprocessing for Expansion Planning in Python.

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University of Liège - Montefiore institute

EPIPPy

Expansion Planning Input Preprocessing in Python

EPIPPy provides a set of functions and scripts to preprocess data that can be then used in an expansion planning model.

Current capabilities

(Retrieval), preprocessing and management of:

  • generation data (hydro capacities and flows, RES existing capacities, capacity factors, potentials, ...)
  • geographical data (computation of countries and sub-regions shapes, manipulation of points, codes, ...)
  • population data
  • emissions (annual emission computation)
  • load (yearly and hourly load computation)
  • technologies (costs and parameters)
  • topologies

Data

For EPIPPy to work properly, it has to have access to a database following a certain structure. This database can be downloaded here.

After downloading the database, the path to the folder containing it must be specified in epippy/__init__.py (to be updated).

Dependencies

Installation

  1. Clone git
  2. Add epippy to your PYTHONPATH
  3. Install requirements in environment.yaml using conda

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Input preprocessing for Expansion Planning in Python.

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