Strategic Integration of Urban Excess Heat Sources in District Heating: A Spatio-Temporal Optimization Paradigm

This data repository supports the techno-economic and geospatial optimization analysis of district heating systems (DHS) in Stockholm, with a particular focus on integrating Urban Excess Heat (UEH) sources. The dataset includes both input data and results, organized by the key analytical tools employed in the study: GIS, OSeMOSYS, and the Hotmaps Dispatch Model.

The folder structure is organized as follows:

/Data│├── Input_Data/│   ├── GIS/│   ├── OSeMOSYS/│   ├── Hotmaps_Dispatch/│└── Results/    ├── GIS/    │     ├── Optimized DHS network extensions for UEH sources    │     ├── Long-term capacity and emissions projections for DHS          ├── Dispatch outputs for different electricity price scenarios

Dataset Details

1. Input Data Folder: This folder includes all data used as inputs across the three primary tools:   - GIS: Contains geospatial data on the DHS network paths, source locations, and spatial configurations for network optimization.   - OSeMOSYS: Provides techno-economic parameters for heat generation technologies, including capital and operational costs, fuel price projections, and emissions factors.   - Hotmaps Dispatch: Includes detailed demand profiles, projected electricity prices, and the supply temperature requirements essential for dispatch simulations.

2. Results Folder: This folder contains the results generated by each tool after processing the input data:   - GIS: Outputs optimized paths for network expansion and geospatial mapping of UEH sources.   -OSeMOSYS: Contains projections for DHS technology adoption, emissions reduction, and cost optimization over a 23-year model period.   - Hotmaps Dispatch: Stores dispatch model results under various electricity pricing and temperature scenarios, capturing the optimal deployment of DHS resources.

Summary of Tools Used

- GIS (Geospatial Information System): Used to locate UEH sources and map their proximity to the existing DHS network, guiding the optimization of network expansions.- OSeMOSYS (Open Source Energy Modelling System): Performs long-term optimization for the DHS, factoring in the addition of UEH sources, electricity price scenarios, and emissions constraints.- Hotmaps Dispatch Model: Simulates operational dispatch of heat generation technologies in response to varying electricity prices and network temperatures, providing insights into real-time heat supply optimization.

This repository thus provides a comprehensive dataset to support the techno-economic and spatial analysis of DHS, facilitating the integration of UEH sources in urban heating systems through scenario-based optimizations.