The doi above is for this specific version of this collection, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/d5517282-b784-4d13-b9a9-120c263737f7

Kaandorp, Chelsea; Miedema, Tes; Verhagen, Jeroen; Giesen, Nick Van de; Edo Abraham (2023): Heat and carbon emissions model for Amsterdam: Code and datasets accompanying the paper 'Reducing committed emissions of heating towards 2050: Analysis of scenarios for the insulation of buildings and the decarbonisation of electricity generation'. Version 1. 4TU.ResearchData. collection. https://doi.org/10.4121/d5517282-b784-4d13-b9a9-120c263737f7.v1

Collection

• Energy Storage, Distribution and Supply
• Urban and Regional Planning
• Energy Conservation and Efficiency
• Renewable Energy
• Built Environment and Design
• Energy

Carbon lock-in, Committed carbon emissions, Electrification of heating, Heat and carbon emission model for Amsterdam, Mixed-integer non-linear programming, Retro-fitting of the building stock, Urban heat systems

by Chelsea Kaandorp, Tes Miedema, Jeroen Verhagen, Nick Van de Giesen, Edo Abraham

This collection contains python code and data files accompanying the study:

Kaandorp, C., Miedema, T., Verhagen, J., van de Giesen, N., & Abraham, E. (2022). Reducing committed emissions of heating towards 2050: Analysis of scenarios for the insulation of buildings and the decarbonisation of electricity generation. Applied Energy, 325, 119759. https://doi.org/10.1016/j.apenergy.2022.119759 

• 2023-05-31 first online, published, posted

4TU.ResearchData

Reducing committed emissions of heating towards 2050: Analysis of scenarios for the insulation of buildings and the decarbonisation of electricity generation

• ENabling LARGE-scale integration of technology hubs to enhance community resiliency via DDS in various urban FWE nexuses (grant code 438-17-407) [more info...] Dutch Research Council

Delft University of Technology