The doi above is for this specific version of this dataset, 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: 10.4121/87bd0b32-cf06-4f9a-9e02-d7842f5b3947

Wahi, Prateek; Koster, Vera; Tenpierik, Martin; Visscher, Henk; Konstantinou, Thaleia (2024): Decision-support framework for Lower-Temperature Heating Renovation Solutions: Simulation results of the case study application. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/87bd0b32-cf06-4f9a-9e02-d7842f5b3947.v1

Dataset

• Engineering Design
• Building
• Energy Conservation and Efficiency
• Built Environment and Design
• Energy

Decision-making, Energy renovations, Energy simulation, Lower-Temperature Heating

CC BY 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Prateek Wahi , Vera Koster , Martin Tenpierik , Henk Visscher , Thaleia Konstantinou

This dataset contains simulation results performed during June 2024- July 2024 at Delft University of Technology. This dataset was used to support the research paper titled “Preparing for Lower-Temperature Heating: A multi-criteria framework to support decision-making for energy renovations of existing Dutch dwellings” Doi will be provided upon publishing.

The purpose of the data is to support different stages of the developed decision support framework in aiding the selection of renovation solutions for preparing dwellings ready for lower-temperature heating. The simulation results were used to analyse the existing situation to establish benchmarks and assess new renovation solutions for LTH readiness.

• 2024-07-29 first online, published, posted

4TU.ResearchData

Excel

TU Delft, Faculty of Architecture and the Built Environment, Department of Architectural engineering and technology