Districtgenerator: Generating building-specific load profiles for residential districts.

The Districtgenerator Python tool enables an automated generation of time-resolved load profiles for residential districts.The profiles generated for each building within the district are the demands for electricity, space heating demand, domestic hot water, and the occupancy profiles.Additionally, a heating load calculation is carried out for each building.The Districtgenerator is conceptualized using a minimum amount of input data.Thus, the tool is valuable for researchers and planners to obtain information needed, for example, for the energy system or energy management system design during the early planning phase of a new district.

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Publication Details

Journal
The Journal of Open Source Software
Published
2025-07-14
DOI
https://doi.org/10.21105/joss.07657
Primary Topic
Building Energy and Comfort Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

Districtgenerator: Generating building-specific load profiles for residential districts.

Tobias Beckhölter, Dirk Müller, Sarah Henn, Joel Schölzel et al.
The Journal of Open Source Software
Building Energy and Comfort Optimization
article

Districtgenerator: Generating building-specific load profiles for residential districts.

Tobias Beckhölter, Dirk Müller, Sarah Henn, Joel Schölzel, Carla Wüller, Rawad Hamze
article en

Abstract

The Districtgenerator Python tool enables an automated generation of time-resolved load profiles for residential districts.The profiles generated for each building within the district are the demands for electricity, space heating demand, domestic hot water, and the occupancy profiles.Additionally, a heating load calculation is carried out for each building.The Districtgenerator is conceptualized using a minimum amount of input data.Thus, the tool is valuable for researchers and planners to obtain information needed, for example, for the energy system or energy management system design during the early planning phase of a new district.

The Journal of Open Source SoftwareVol. 10(111)
RWTH Aachen University (DE)
Sustainable cities and communities
Openalex Percentile: Top 82%
Building Energy and Comfort Optimization
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