Hotmaps data set method of data collection

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

Table of Contents

• Data collection
• References
• How to cite
• Authors and reviewers
• License
• Acknowledgement

Data collection

Hotmaps provides a large array of open data sets. The data has been provided by default for the entire EU28 countries with the aim to support local, regional and national heating and cooling (H&C) planning. Hotmaps data sets provide data for various categories including:

• Building stock analysis;
• Space heating, cooling and domestic hot water demand;
• Climate context;
• Industrial processes;
• Heating and cooling supply;
• Renewable energy sources data collection and potential review;
• Hourly load profiles;
• Electricity system module and
• Transport.

All the approaches for data collection and analysis in the different sectors (i.e. residential, service, industry and transportation sectors) are described in this report [1].

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References

[1] Simon Pezzutto, Stefano Zambotti, Silvia Croce, Pietro Zambelli, Giulia Garegnani, Chiara Scaramuzzino, Ramón Pascual Pascuas, Alyona Zubaryeva, Franziska Haas, Dagmar Exner (EURAC), Andreas Müller (e‐think), Michael Hartner (TUW), Tobias Fleiter, Anna‐Lena Klingler, Matthias Kühnbach, Pia Manz, Simon Marwitz, Matthias Rehfeldt, Jan Steinbach, Eftim Popovski (Fraunhofer ISI) Reviewed by Lukas Kranzl, Sara Fritz (TUW); Online Access

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How to cite

Mostafa Fallahnejad, in Hotmaps-Wiki, Hotmaps-open-data-set-data-collection (May 2019)

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Authors and reviewers

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

☑ This page was reviewed by Marcus Hummel (e-think)

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License

Copyright © 2016-2019: Mostafa Fallahnejad

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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