## 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.

> 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
• 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:

#### The total revenues revtotal yield from::

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

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#### Legend

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## Sample run

After you select a region and make no changes to the default parameters, the model will run in investment mode. This means that the installed capacities are also optimized for the optimal cost coverage of the heat demand .

Below you can see all input paramters that can be changed

#### Output Charts

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## How to cite

Jeton Hasani, in Hotmaps Wiki, CM District heating supply dispatch (September 2020)

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## Authors and reviewers

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

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