The Renovation Explorer - Input Data for model development V2.0: Review of available databases and input data description for off-the-fly model

Improving the sustainability of existing houses is a major challenge when it comes to achieving climate goals. The Renovation Explorer (De Renovatieverkenner) project aims to develop simulation models that provide reliable and practical calculations for the existing housing stock in order to obtain more sustainable renovation solutions with healthy and comfortable indoor environments. In the Renovation Explorer, problem formulation and the determination of the performance indicators play a crucial role in ensuring accurate and focused simulations and performance assessment of the solution(s). In this respect, capturing relevant physical phenomena without unnecessary complexity, excessive inputs, and redundant performance indicators is critical.
In the Renovation Explorer, accurately setting input parameters in building simulation tools is crucial for the reliability of both sensitivity analysis and renovation measure optimization results. For instance, when evaluating the influence of insulation thickness on energy consumption, it is essential to employ the most commonly used insulation thickness. Using too narrow or wide ranges of values may lead to an underestimation or overestimation of the actual impact of insulation, distorting the results. This report brings together all critical input data and methodologies to support precise analyses and informed decision-making. It is organized into two main parts:
•Part I Review of Available Overall Databases:
o 3D BAG: Detailed 3D building geometries and attributes for Dutch dwellings.
o BouwConnect: Comprehensive data on building components and HVAC systems.
o WoON Survey: Occupant behaviour data influencing energy use.
o Kostenkentallen: Cost indicators for renovation measures.
o National Digital Platform (LDP): Future-oriented data integration and digital modelling capabilities.
•Part II – Input Data for the Off-the-Fly Model:
o Detailed input values for building geometries (3D BAG), components (BouwConnect and Kosternkentallen), HVAC systems (Kosternkentallen and existing literature), and occupant behaviour (WoON Survey and existing literature).
o Integration of cost data for renovation measures linked to Kostenkentallen.
o Consideration of future scenarios, including climate projections, energy price pathways, inflation rates, and policy changes such as net metering.
By combining technical, behavioural, and economic dimensions, the Renovation Explorer supports robust decision-making for sustainable renovations. It ensures that proposed measures are not only effective under current conditions but also resilient to future changes in climate, energy markets, and user behaviour. Key Performance Indicator (KPI) inputs such as energy prices and carbon factors are documented in the dedicated KPI report.