Small energy actors –especially residential end-users– with distributed energy generation and storage units connected behind the meter (prosumers) are at the centre of the energy transition. Much research has focused on their engagement, either in terms of directly controlling their consumption or by exposing them to time-varying price signals reflecting power system or wholesale electricity market conditions. However, centralized ways of stimulating prosumers’ activation have not been proven entirely successful due to the compromise in the end-users’ comfort and the limited economic incentives provided. Aiming at increasing the engagement of small prosumers, P2P-TALES proposes the use data-driven knowledge extraction techniques in order to identify clusters of consumers with similar or dissimilar energy-related behavioural characteristics, preferences and flexibility potential and create incentive schemes that reflect their financial and non-monetary motives. Moreover, based on prosumer analytics, P2P-TALES aspires to address several challenges related to distributed transaction systems through which energy is traded in a peer-to-peer (P2P) fashion. More specifically, the development of trading protocols and agents to improve sustainability and maximize value by promoting synergies between prosumers on the basis of complementary objectives or alternative asset ownership models based on the principles of sharing economy will be investigated. Finally, P2P-TALES will attempt to map the cyber P2P transactions onto the physical distribution system and the actual flows of power, aiming at assessing the operational and reliability impacts. This will result in enhanced decision making for distribution network operators (DNO), allowing the procurement of system services from prosumers preventively or in real-time.
The main objective of this consulting project is the development of a forecasting tool in order to predict the spread between the Belgian and Dutch day-ahead and imbalance electricity markets, as well as the net demand of the end-users supplied by Scholt Energy Control BV. Accurate predictions of these quantities will allow the energy supplier to optimize its short-term position in the markets and improve its profits. For this reason, the forecasting tool that will be developed using Python will be based on Deep Learning techniques in order to efficiently exploit large amount of heterogeneous inputs which influence price and demand.
The central research question of this project is how maximum value can be achieved by integrating electrochemical electricity storage in the electricity system, with focus on the hydrogen-bromine flow battery electricity storage. In this project an inventory of possible product-market combinations with emphasis on multi-revenue models. The identified opportunities are subject to a quantified, model-based analysis. The projects covers also aspects related to the physical integration of energy storage to the system and prototype-level experimental validation is anticipated.
The aim of the project is to identify the most promising innovation concepts with which the emerging Smart Grid could be scaled up to 500.000 connections by 2020 in The Netherlands. The project focuses on the design, decision making and ICT layers. Distribution system operators, SMEs and universities are involved in this project.
The aim of the project is to develop design and multi-objective operational optimization algorithms to be applied on the distribution system of BEDAŞ, responsible for the energy distribution at the European side of Istanbul (approx. 10 million connections).The ultimate goal is to integrate distributed generation, electric vehicles and energy storage units.
The SiNGULAR project investigated the effects of large-scale integration of renewables and demand-side management on the planning and operation of insular electricity grids, proposing efficient measures, solutions and tools towards the development of a sustainable and smart grid. The goal was to generate solutions for the integration of highly variable energy resources. The operation and planning tools and procedures were applied in different insular electricity grids in five countries across Europe. Extensive demonstration took place, allowing the development of generalized guides of procedures and grid codes specific for future generation of smart insular electricity grids.