Table of Contents

In a glance

This module calculates the cost-minimal operation of a portfolio of heat supply technologies in a defined district heating system for each hour of the year. The inputs to the module are hourly profiles for the heat demand in the network, for the potential heat supply from different sources and for energy carrier prices. Furthermore, cost and efficiency parameters for each technology are required. The module yields the costs of heat supply, the share of energy carriers used and the implied CO2 emissions. The module can also be used to optimise the capacities of installed heat supply technologies.

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Introduction

The district heating supply module is a dispatch model which tries to find a cost optimum solution for covering the heat demand at every hour of the year.

concept.png

> The method described here is to be understood as a first concept and can deviate from the actual implementation (model complexity, inputs and outputs, etc. must be seen from this point of view).

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Inputs and outputs

Main inputs

  1. Heat demand of the grid (selected region)
  2. Installed capacities of heat generators/storage
  3. Technical(en-efficiencies) and fincancal paramters(opex,capex,lifetime) of heat generators/storages
  4. Profiles (time series of the heat demand,solar radiation, temperature, electricity prices, etc..)
  5. ...

Main outputs

  • Heat generation costs
  • Investment, operation and fuel costs
  • Heat generation mix per heat generator
  • CO2 Emissions
  • Full Load Hours,
  • etc..

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Method

The module is implemented as a linear program and can be used on the one hand as a pure dispatch model and on the other hand for investment planning to cover a load profile. The objective function tries to find the minimum of the difference from the costs for providing the heat and revenues from electricity production.

Equation fragments of the linear program:

lp_fragment.png

The total costs ctotal yield from the sum of:

investment costs IC (installed capacities multiplied by the annuities of the specific investment costs)

ic.png

captial costs CC :

cc.png

the variable costs OPEX :

opex.png

ramp costs of CHP and waste incineration plants (rough Estimation) :

ramp.png

assumed costs for the peak electrical load in the winter time (rough Estimation):

peak.png

The total revenues revtotal yield from::

the sale of electricity (for example from CHP plants and waste incineration plants).:

rev.png

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Legend

legend.png

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Sample run

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Test Run 1: default input values

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Test Run 2: modified input values

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References

How to cite

Authors and reviewers

This page is written by Jeton Hasani*.

  • [ ] This page was reviewed by Lukas Kranzl*.

* Energy Economics Group - TU Wien Institute of Energy Systems and Electrical Drives Gusshausstrasse 27-29/370 1040 Wien

License

Copyright © 2016-2018: Jeton Hasani Creative Commons Attribution 4.0 International License This work is licensed under a Creative Commons CC BY 4.0 International License. SPDX-License-Identifier: CC-BY-4.0 License-Text: https://spdx.org/licenses/CC-BY-4.0.html

Acknowledgement

We would like to convey our deepest appreciation to the Horizon 2020 Hotmaps Project (Grant Agreement number 723677), which provided the funding to carry out the present investigation.

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German*

* machine translated