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Mathematical optimisation model for district energy distrubtion networks

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dhmin

dhmin is a mixed integer linear programming optimization model developed for planning of district heating or cooling networks.

Screenshot

Result power flow configurations for provided minimal input dataset

Features

  • dhmin is a mixed integer linear programming model for single-commodity energy infrastructure networks systems with a focus on high spatial resolution.
  • It finds the minimum cost/maximum revenue tradeoff for the size of this network.
  • Time is represented by a (small) set of weighted time steps that represent peak (short duration) or typical (long duration) loads, allowing to basically provide a discretized annual load duration curve.
  • Spatial data is prepared using package Geopandas, which supports a wide range of storage formats. By default, ESRI shapefiles are used for storing the street network and edges, together with all location dependent parameters (length and peak demand for edges, capacity and costs for vertices). The other technical and cost parameters are provided as a plain dict.

Dependencies

  • Pyomo for formulating the optimizaton model
  • Any solver supported by Pyomo (GLPK, CBC, CPLEX, Gurobi, ...)
  • Pandas for all data handling
  • Geopandas for geographic data input/output

Copyright

Copyright (C) 2013-2016 Johannes Dorfner

This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program. If not, see http:https://www.gnu.org/licenses/

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Mathematical optimisation model for district energy distrubtion networks

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