Working together to build supported heat scenarios with data as a foundation

The Heat Program contains a number of scenarios in which the heat demand of all individual buildings in the neighborhood is linked to existing or new future-proof heat sources. This requires concrete data that is brought together from numerous sources at home and neighborhood level.

The importance of concrete data for a successful heat transition
With concrete data, local residents, policymakers, municipalities and energy companies can create better-founded heat scenarios and make well-considered decisions. This not only increases transparency in the process, but also helps to strengthen trust and support among all parties involved. By providing insight into the possibilities and consequences of different choices, a solid foundation is created for a joint and successful heat transition.

The information behind heat scenarios
Behind each heat scenario lies a carefully compiled set of information. But which concrete datasets exactly form the basis on which these scenarios in the Heat Programme are built?

1. Energy consumption and heat demand – By analysing historical and current energy consumption data, local residents, policymakers and municipalities can better estimate where the heat demand is greatest and which neighbourhoods or buildings benefit most from a heat network.
2. Potential heat sources – Data helps to map available sustainable heat sources such as geothermal energy, residual heat from industries or aquathermy. This can provide insight into the most efficient and cost-effective options.
3. Cost-benefit analysis – By using financial data and simulations, a cost-benefit analysis can be performed to show how a Heat Program can be economically feasible and profitable for investors and residents.
4. Environmental impact – Emission and climate data can be used to demonstrate how the transition to sustainable heat sources contributes to the reduction of CO₂ emissions and climate goals.
5. Public opinion and behavioral analysis – By using surveys, social media analysis and other forms of feedback, data can provide insight into how residents think about the Heat Program and which preconditions are important for broad acceptance.
6. Simulations and future predictions – Using data and models, scenarios can be simulated to predict how the introduction of a Heat Program will develop in the coming years and which bottlenecks need to be addressed.

Are you looking for help in collecting and linking concrete data for heat scenarios with impact?

Please contact Aart van der Vlist, aart@sblc.nl