Wiki Introduction

• Welcome page

How to apply Hotmaps toolbox

• Guideline: Hotmaps toolbox on local level
• Guideline: Hotmaps toolbox on national level
• Training material

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 sources potential
• CM - Biomass potential
• CM - Wind potential
• CM - Excess heat transport potential
• CM - Scenario assessment
• CM - User-defined excess heat potentials
• CM - Vehicle stock at NUTS 2 level

For Developers

• Developers section
• Guidelines for defining indicators

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

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

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. This can be done in the CM - Scenario Assessment. The following figure shows this approach.