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CM Shallow geothermal potential

CM Shallow geothermal potential

Table of Contents

• Introduction
• Inputs and outputs
• Method
• Sample run
  • Test Run 1: default input values
  • Test Run 2: modified input values
• References
• How to cite
• Authors and reviewers
• License
• Acknowledgement

Introduction

It aims to compute the shallow geothermal potential based on r.green.gshp.theoretical according to the G.pot methodology. In this module the output is the theoretical maximum energy that can be converted in the ideal case without considering the financial and spatial constraints.

To Top

Inputs and outputs

The input parameters and layers as well as output layers and parameters are as follows.

Input layers and parameters are:

• Vector with depth-averaged ground thermal conductivity [W m-1 K-1]
• Value with the Heating Season [0-365] days
• Raster with the initial ground temperature T0 [°C]
• Value with depth-averaged ground thermal capacity [MJ m-3 K-1]
• Value with depth-averaged ground thermal capacity [MJ m^-3 K^-1]

The advanced input are:

• Borehole radius [m]
• Borehole thermal resistance [m K W^-1]
• Borehole length [m]
• Pipe radius [m]
• Number of pipes in the borehole
• Thermal conductivity of the borehole filling (geothermal grout) [W m-1 K-1]
• Minimum or maximum fluid temperature [°C]
• Simulated lifetime of the plant [years]

Output layers and parameters are:

• a raster map with the geothermal power potential [W]
• a raster map with the geothermal energy potential [MWh]

A deeper explanation of the default input raster is available in the Hotmaps repository

To Top

Method

The method to define the energy potential is based on the G.pot. The potential of shallow geothermal energy is computed by means of and empirical relationship proposed by Casasso et al. (2016).

To Top

Test Run 1

To Top

Test Run 1: default input values

To Top

Test Run 2: modified input values

To Top

References

How to cite

Authors and reviewers

This page is written by Pietro Zambelli* and Giulia Garegnani*.

* Urban and Regional Energy System Group - EURAC Bozen

Institute of Renewable Energy Drususallee/Viale Druso 1 I-39100 Bozen/Bolzano Italy

License

Copyright © 2016-2019: Giulia Garegnani

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.

To Top

View in another language:

Bulgarian^* Croatian^* Czech^* Danish^* Dutch^* Estonian^* Finnish^* French^* German^* Greek^* Hungarian^* Irish^* Italian^* Latvian^* Lithuanian^* Maltese^* Polish^* Portuguese (Portugal, Brazil)^* Romanian^* Slovak^* Slovenian^* Spanish^* Swedish^*

^* machine translated1>CM Shallow geothermal potential

CM Shallow geothermal potential

Table of Contents

• Introduction
• Inputs and outputs
• Method
• Sample run
  • Test Run 1: default input values
  • Test Run 2: modified input values
• References
• How to cite
• Authors and reviewers
• License
• Acknowledgement

Introduction

It aims to compute the shallow geothermal potential based on r.green.gshp.theoretical according to the G.pot methodology. In this module the output is the theoretical maximum energy that can be converted in the ideal case without considering the financial and spatial constraints.

To Top

Inputs and outputs

The input parameters and layers as well as output layers and parameters are as follows.

Input layers and parameters are:

• Vector with depth-averaged ground thermal conductivity [W m-1 K-1]
• Value with the Heating Season [0-365] days
• Raster with the initial ground temperature T0 [°C]
• Value with depth-averaged ground thermal capacity [MJ m-3 K-1]
• Value with depth-averaged ground thermal capacity [MJ m^-3 K^-1]

The advanced input are:

• Borehole radius [m]
• Borehole thermal resistance [m K W^-1]
• Borehole length [m]
• Pipe radius [m]
• Number of pipes in the borehole
• Thermal conductivity of the borehole filling (geothermal grout) [W m-1 K-1]
• Minimum or maximum fluid temperature [°C]
• Simulated lifetime of the plant [years]

Output layers and parameters are:

• a raster map with the geothermal power potential [W]
• a raster map with the geothermal energy potential [MWh]

A deeper explanation of the default input raster is available in the Hotmaps repository

To Top

Method

The method to define the energy potential is based on the G.pot. The potential of shallow geothermal energy is computed by means of and empirical relationship proposed by Casasso et al. (2016).

To Top

Test Run 1

To Top

Test Run 1: default input values

To Top

Test Run 2: modified input values

To Top

References

How to cite

Authors and reviewers

This page is written by Pietro Zambelli* and Giulia Garegnani*.

* Urban and Regional Energy System Group - EURAC Bozen

Institute of Renewable Energy Drususallee/Viale Druso 1 I-39100 Bozen/Bolzano Italy

License

Copyright © 2016-2019: Giulia Garegnani

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.

To Top

View in another language:

Bulgarian^* Croatian^* Czech^* Danish^* Dutch^* Estonian^* Finnish^* French^* German^* Greek^* Hungarian^* Irish^* Italian^* Latvian^* Lithuanian^* Maltese^* Polish^* Portuguese (Portugal, Brazil)^* Romanian^* Slovak^* Slovenian^* Spanish^* Swedish^*

^* machine translated>CM Shallow geothermal potential

CM Shallow geothermal potential

Table of Contents

• Introduction
• Inputs and outputs
• Method
• Sample run
  • Test Run 1: default input values
  • Test Run 2: modified input values
• References
• How to cite
• Authors and reviewers
• License
• Acknowledgement

Introduction

It aims to compute the shallow geothermal potential based on r.green.gshp.theoretical according to the G.pot methodology. In this module the output is the theoretical maximum energy that can be converted in the ideal case without considering the financial and spatial constraints.

To Top

Inputs and outputs

The input parameters and layers as well as output layers and parameters are as follows.

Input layers and parameters are:

• Vector with depth-averaged ground thermal conductivity [W m-1 K-1]
• Value with the Heating Season [0-365] days
• Raster with the initial ground temperature T0 [°C]
• Value with depth-averaged ground thermal capacity [MJ m-3 K-1]
• Value with depth-averaged ground thermal capacity [MJ m^-3 K^-1]

The advanced input are:

• Borehole radius [m]
• Borehole thermal resistance [m K W^-1]
• Borehole length [m]
• Pipe radius [m]
• Number of pipes in the borehole
• Thermal conductivity of the borehole filling (geothermal grout) [W m-1 K-1]
• Minimum or maximum fluid temperature [°C]
• Simulated lifetime of the plant [years]

Output layers and parameters are:

• a raster map with the geothermal power potential [W]
• a raster map with the geothermal energy potential [MWh]

A deeper explanation of the default input raster is available in the Hotmaps repository

To Top

Method

The method to define the energy potential is based on the G.pot. The potential of shallow geothermal energy is computed by means of and empirical relationship proposed by Casasso et al. (2016).

To Top

Test Run 1

To Top

Test Run 1: default input values

To Top

Test Run 2: modified input values

To Top

References

How to cite

Authors and reviewers

This page is written by Pietro Zambelli* and Giulia Garegnani*.

* Urban and Regional Energy System Group - EURAC Bozen

Institute of Renewable Energy Drususallee/Viale Druso 1 I-39100 Bozen/Bolzano Italy

License

Copyright © 2016-2019: Giulia Garegnani

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.

To Top

View in another language:

Bulgarian^* Croatian^* Czech^* Danish^* Dutch^* Estonian^* Finnish^* French^* German^* Greek^* Hungarian^* Irish^* Italian^* Latvian^* Lithuanian^* Maltese^* Polish^* Portuguese (Portugal, Brazil)^* Romanian^* Slovak^* Slovenian^* Spanish^* Swedish^*

^* machine translated