We have developed the TEESlab Modeling suite (TEEM), which is an ensemble of high-resolution energy system simulation and optimization models, which comprises of four main models that can be coupled to existing models (i.e., soft- and/or hard- linked) and one decision and support plug-in toolbox. The TEEM suite allows users to perform quick participatory simulations aiming to provide answers to many “what if” scenarios.

In the context of our activities, we have developed two additional tools to facilitate decision-making in energy planning issues. The first one, the Recommendation-Decision Matrix tool (RDM), developed in the context of the H2020 PROSPECT+ project, aims to support local governments on their first decision-making steps against a wide array of innovative financing schemes for their sustainable energy actions. The Split Incentives Quantification Tool (Q-SpliT), developed in the context of the H2020 ENPOR project, aims to address the split incentive barrier that usually emerges among landlords and tenants in energy efficiency interventions by identifying and quantifying each one’s share of the triggered benefits.