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This repository holds a collections of various examples on how to build an energy system with oemof.

Examples are provided for each major oemof release specified by the directory they are in.

Installation

Download the repository using the green download button.

You need a working python3 environment to be able to run the examples. For more details see 'Installation and setup' section of the oemof documentation. Required packages to run each example are listed in the respective example header.

Contributing

Everybody is welcome to contribute by adding their own example, fix documentation, bugs and typos in existing examples, etc via a pull request or by sending us an e-mail (see here for contact information). If you want to add your own example please provide a short description and required packages to run the example.

Examples

oemof.solph (oemof)

Examples of the latest major release (v0.4.x), some examples may not exist for older versions. Check out the oemof.solph directory for all versions.

  • activity_costs

    Shows how to use activity costs for nonconvex flows.

  • basic_example :

    Introduction to the basic usage of oemof.solph

    • basic optimisation with different solvers
    • initiate the logger
    • use the lp-file for debugging
    • show/hide output of the solver
    • store and process results
  • electrical:

    Linear Optimised Power Flow

    • lopf
    • transshipment
  • emission_constraint

    Shows how to add an additional constraint to limit the overall emissions.

  • excel-reader

    Shows how to define the input data in a customisable excel-file (libreoffice etc.)

  • flexible_modelling

    Shows how to add an individual constraint to the oemof solph Model.

  • generic_chp

    Illustrates how the custom component GenericCHP can be used...

    • bpt: ... to model a back pressure turbine.
    • ccet: ... to model a combined cycle extraction turbine.
    • mchp: ... to model a motoric chp.
  • generic_invest_limit

    Shows how to add additional constraints for investment flows.

  • installation test

    Test your oemof installation and the connected solvers

  • invest_non_convex

    This example illustrates a possible combination of solph.Investment and solph.NonConvex. Note that both options are added to different components of the energy system.

  • Basic Notebooks

    Basic example in two jupyter notebooks.

  • min_max_runtimes

    Example that illustrates how to model min and max runtimes.

  • plotting_examples

    The examples shows how to use oemof_visio with solph results.

  • flow_schedule

    Notebook with a scheduled flow.

  • simple_dispatch: Shows how to set up a dispatch model.

  • shared_limit

    Shows how to use the shared limit constraint.

  • start_and_shutdown_costs

    Example that illustrates how to model startup and shutdown costs attributed to a binary flow.

  • Balanced and unbalanced storage

    Shows different use cases for the GenericStorage class.

  • storage_investment

    Variation of parameters for a storage capacity optimization.

    • v1_invest_optimize_all_technologies
    • v2_invest_optimize_only_gas_and_storage
    • v3_invest_optimize_only_storage_with_fossil_share
    • v4_invest_optimize_all_technologies_with_fossil_share
  • variable_chp

    Presents how a variable combined heat and power plant (chp) works in contrast to a fixed chp.

oemof.tabular

Coming soon

tespy

  • clausius_rankine: Basic example of the clausius rankine process.
  • clausius_rankine_chp: Backpressure turbine in district heating.
  • combined_cycle_chp: Combined cycle power plant with backpressure steam turbine.
  • combustion: Examples on how to work with combustion in TESPy.
  • custom_variables: Example on how to calculate the diameter of a pipe at a given pressure ratio.
  • district_heating: A small district heating systems with about 150 components.
  • heat_pump: An air to water and a water to water heat pump for power-to-heat applications.
  • solar_collector: An example to show, how the solar collector component can be implemented.
  • efficiency_optimization: Parameter optimization of a power plant using TESPy and PyGMO.

windpowerlib

v0.1.x

  • ModelChain example: A simple way to calculate the power output of wind turbines.

v0.2.x

License

Copyright (C) 2017 oemof developing group

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://www.gnu.org/licenses/.