Local Level - Step 6: Assessment of scenarios for entire heat demand and supply for the selected area

Wiki Introduction

• Welcome page

Data sets

• Hotmaps data set: Method of data collection
• Hotmaps open data repositories

General tool functionalities & structure

• Introduction to user interface
• Layers section in the Hotmaps toolbox
• Select a region in the Hotmaps toolbox
• Retrieve indicators of a selected area
• Access to calculation modules
• Database behind the Hotmaps toolbox
• Data upload functionalities
• Data export functionalities

Calculation modules (CM)

• CM - Customized heat and gross floor area density maps
• CM - Scale heat and cool density maps
• CM - Demand projection
• CM - Heat load profiles
• CM - District heating potential areas: user-defined thresholds
• CM - District heating potential: economic assessment
• CM - District heating supply dispatch
• CM - Decentral heating supply
  
• CM - Solar thermal and PV potential
• CM - Shallow geothermal potential
• CM - Heat source potential
• CM - Biomass potential
• CM - Wind potential
• CM - Excess heat transport potential
• CM - Scenario assessment
• CM - Add industry plant
• CM - Vehicle stock at NUTS 2 level

How to apply Hotmaps toolbox

• Guideline: Hotmaps toolbox on local level
• Guideline: Hotmaps toolbox on national level
• Concept for using Hotmaps for district cooling
• Training material

For Developers

• Developers section
• Guidelines for defining indicators
• Guidelines for writing a Hotmaps Wiki page

Scenario Toolchain Steps Previous step

Table of Contents

• Introduction
• Comparison of results for different scenarios
• How to cite
• Authors and reviewers
• License
• Acknowledgement

Introduction

This is the last step of the analysis at local and municipal level.

Figure: The steps to assess different scenarios for the entire heat demand and supply are highlighted in the Toolchain above.

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Comparison of results for different scenarios

The final step in the analysis is the comparison of the results for the different scenarios and sensitivities. For this, all results calculated in the previous steps are collected both from the calculations of district heating as well as from the calculations of decentral supply and compared against each other for main indicators. The CM - Scenario Assessment allows to easily combine and compare all relevant data, its approach is illustrated in the following figure.

Figure: Comparison of results for different scenarios

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How to cite

Marcus Hummel, Giulia Conforto, in Hotmaps-Wiki, Guidelines for using the Hotmaps toolbox for analyses at local level (August 2020)

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Authors and reviewers

This page was written by Marcus Hummel and Giulia Conforto (e-think).

☑ This page was reviewed by Mostafa Fallahnejad (EEG - TU Wien).

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License

Copyright © 2016-2020: Marcus Hummel, Giulia Conforto

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

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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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