Published October 29, 2020 | Version Pre-publication
Dataset Open

Dataset of future district heating energy demand in a Finnish municipality

Creators

  • 1. University of Oulu

Contributors

Data curator:

  • 1. University of Oulu

Description

******************* Please view the README.md file for detailed documentation of data. ********************

Title: Impact of climate change, energy efficiency and population on long-term heat demand scenarios in districts: Datasets and Supplementary Materials Version: 1.0

Date of Release: 28/10/2020 Identifier: doi:10.5281/zenodo.4139299 Permalink: http://dx.doi.org/10.5281/zenodo.4139299

Associated publication: Hietaharju, P.; Louis, J.-N.; Pulkkinen, J. & Ruusunen, M. Impact of climate change, energy efficiency and population on long-term heat demand scenarios in districts Under Review, 2020

Suggested citation: Please reference the associated publication above when using any datasets or materials described in the README file. Contact information: Jean-Nicolas Louis, University of Oulu, Oulu, Finland, jean-nicolas.louis@oulu.fi or jeannicolas.louis@gmail.com

Dates of data modelisation: 2013 - 2030 - 2050

Geographic location: Jyväskylä

Time resolution: Hourly, heating season.

Types: Input data (all input configuration data are freely available, but dataset related to the district heating network and buildings are not distributed and not shareable for copyright reasons), power, temperature

Format: All data are stored in .mat file format (MatLab file). 

This directory contains the following datasets and supplementary materials: A summary of all the files has been compiled and stored in the "READ ME.md" or "READ ME.html" file

Notes

This research was funded by: 1. Academy of Finland through the project SEN2050 (287748) 2. Academy of Finland through the project NEXUS4EU (333076) 3. The Kolarctic CBC programme through the project Green Arctic Building (KO1089 GrAB), 4. The University of Oulu Graduate School.

Files

READ ME.md

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Additional details

Funding

Smart energy networks 2050: Modelling of energy and information fluxes, impact of user response on decarbonisation 287748
Academy of Finland