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