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Service Sector and Urban-Scale Energy Demand: Dataset Accompanying the PhD Thesis “Harnessing Heterogeneity - Understanding Urban Demand to Support the Energy Transition”

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posted on 06.02.2019 by Nina Voulis
This is the dataset accompanying the PhD thesis: N. Voulis. Harnessing Heterogeneity - Understanding Urban Demand to Support the Energy Transition. PhD Thesis. Delft University of Technology. 2019. https://doi.org/10.4233/uuid:9b121e9b-bfa0-49e6-a600-5db0fbfa904e. Real urban areas consist of a mix of households, services (such as schools, offices, shops, etc.), and industry. However, most literature concerned with local energy demand simplifies it to household demand only. This is, to a large extent, cause by a lack of detailed (e.g., hourly) service sector and urban-scale energy demand data. This dataset and the accompanying thesis seek to resolve this issue. The primary focus of this dataset and the accompanying thesis is therefore on service sector and urban-scale demand data. Households are also taken into account, albeit in less detail. Households and services are often collocated in urban areas, but extensive research and data already exist for households. Industry is left out of scope. The dataset contains: - Demand profiles of 13 types of service sector consumers (hourly resolution, full year). - Demand profile of 1 type of average household consumer (hourly resolution, full year). - Demand profile of an average mix of 100 000 households and associated services, with a total annual demand of 710 GWh (hourly resolution, full year). - Demand profile of 203 005 households only, also with a total annual demand of 710 GWh (hourly resolution, full year). - Demand profiles of archetype residential, business, and mixed urban areas. Urban areas include neighbourhoods, districts, and municipalities (hourly resolution, average weekday and average weekend). - Composition of archetype residential, business, and mixed urban areas. Urban areas include neighbourhoods, districts, and municipalities. - Spreadsheet tool to estimate the average hourly demand profile of an urban area of interest, based solely on annual demand data of different consumer types. This tool is also published as an addendum to publication. All profiles pertain to the Netherlands and to the year 2014. The modelled year can be adapted as described in the input data and assumptions part. The geographic region can be adapted by repeating the research described in the thesis for another region.

Funding

Netherlands Organisation for Scientific Research, 408-13-012

History

Contributors

TU Delft, Faculty of Technology, Policy and Management, Systems Engineering Group

Publisher

4TU.Centre for Research Data

Time coverage

2014

Geolocation

The Netherlands

Format

media types: application/msword, application/pdf, application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, application/zip, text/csv, text/plain

Licence

Exports