WP Leader: Carsten Rode, email@example.com
Objective: Optimise the interactions and synergies between individual system components, amongst buildings.
|WP3.1||Investigate novel methods for aggregate modelling and simulation techniques. This study should furthermore address any interoperability issues between different energy modelling and optimisation tools, and investigates the capabilities of individual tools for modelling energy systems with multiple energy flows.|
|WP3.2||Study low level aggregation techniques which facilitate the grouping of consumers with similar (or dissimilar) characteristics and consumption profiles.|
|WP3.3||Detailed models from WP1 and WP2 will be employed to identify interactions between system components (PTSC and demand) on various spatiotemporal scales. Synergies will be identified at the component level and between aggregations of similar resources.|
|WP3.4||Control, forecasting and optimisation tools will be developed based on data and models to optimise the interactions identified in WP3.3. Adaptive tools will be favoured to ensure relevance as the system evolves.|
|WP3.5||ICT solutions will be developed to support monitoring, validation, analysis, optimisation and control capabilities at the system component level.|
The Impact of Prosumers and their Clusters on the Energy System
PhD student: Marijana Larma, firstname.lastname@example.org
Prosuming buildings produce and consume energy, typically renewable energy from photovoltaics, solar heat and wind, but may also store energy by local means. The intention of this work is to model future prosumers, individually and at the aggregation level, where buildings play a central role with respect to future smart grids. Interactions between system components and energy carriers will be identified on various spatiotemporal scales. The identified interaction will be optimised based on models and data. The study aims at investigating the implications of being prosumer and the consequences it has on the common energy system, for all energy carriers, gas, electricity, heating and cooling, both for individual and for collective prosumers.
Buildings for Smart Energy Cities
PhD student: Panagiota Giannou, email@example.com
This project handles the first steps of modelling buildings at a large scale towards smart energy cities. The main outcomes will be the development of methodologies and solutions to model building stock at an urban scale in terms of energy demand and flexibility. The modelling of the building stock will be conducted using archetypes, which reflect building typologies and occupant categories. Furthermore, simulation infrastructures for aggregate building energy modelling will be examined and updated. Measured energy data will be used to calibrate and validate the models. The role of buildings on the overall integrated energy system will be determined, thus enabling the optimised planning and operation of it.