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

<p>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.</p> <p>The <strong>folder structure</strong> is organized as follows:</p> <p>/Data<br>│<br>├── Input_Data/<br>│ &nbsp; ├── GIS/<br>│ &nbsp; ├── OSeMOSYS/<br>│ &nbsp; ├── Hotmaps_Dispatch/<br>│<br>└── Results/<br>&nbsp; &nbsp; ├── GIS/<br>&nbsp; &nbsp; │ &nbsp; &nbsp; ├── Optimized DHS network extensions for UEH sources<br>&nbsp; &nbsp; │ &nbsp; &nbsp; ├── Long-term capacity and emissions projections for DHS<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; ├── Dispatch outputs for different electricity price scenarios<br><br></p> <h2>Dataset Details</h2> <p>1. Input Data Folder: This folder includes all data used as inputs across the three primary tools:<br>&nbsp; &nbsp;- GIS: Contains geospatial data on the DHS network paths, source locations, and spatial configurations for network optimization.<br>&nbsp; &nbsp;- OSeMOSYS: Provides techno-economic parameters for heat generation technologies, including capital and operational costs, fuel price projections, and emissions factors.<br>&nbsp; &nbsp;- Hotmaps Dispatch: Includes detailed demand profiles, projected electricity prices, and the supply temperature requirements essential for dispatch simulations.</p> <p>2. Results Folder: This folder contains the results generated by each tool after processing the input data:<br>&nbsp; &nbsp;- GIS: Outputs optimized paths for network expansion and geospatial mapping of UEH sources.<br>&nbsp; &nbsp;-OSeMOSYS: Contains projections for DHS technology adoption, emissions reduction, and cost optimization over a 23-year model period.<br>&nbsp; &nbsp;- Hotmaps Dispatch: Stores dispatch model results under various electricity pricing and temperature scenarios, capturing the optimal deployment of DHS resources.</p> <h2>Summary of Tools Used</h2> <p>- GIS (Geospatial Information System): Used to locate UEH sources and map their proximity to the existing DHS network, guiding the optimization of network expansions.<br>- 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.<br>- 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.</p> <p>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.</p> <p><br><br></p>