A market framework for grid balancing support through imbalances trading

To correct grid imbalances and avoid grid failures, the transmission system operator (TSO) deploys balancing reserves and settles these imbalances by penalizing the market actors that caused them. In several countries, it is forbidden to influence the grid imbalances in order to let the TSO retain full control of grid regulation. In this...

Optimal Control Strategies for Seasonal Thermal Energy Storage Systems with Market Interaction

Seasonal thermal energy storage systems (STESSs) can shift the delivery of renewable energy sources and mitigate their uncertainty problems. However, to maximize the operational profit of STESSs and ensure their long-term profitability, control strategies that allow them to trade on wholesale electricity markets are required. While control...

A data driven method for optimal sensor placement in multi-zone buildings

In this paper, we propose a data-driven methodology to identify the optimal placement of sensors in a multi-zone building. The proposed methodology is based on statistical tests that study the (in) dependence of measurements from various available sensors. The tests advice on a set of most dissimilar sensors to be retained, as they would...

Building day-ahead bidding functions for seasonal storage systems: A reinforcement learning approach

Due to the increasing integration of renewable sources in the electrical grid, electricity generation is expected to become more uncertain. In this context, seasonal thermal energy storage systems (STESSs) are key to shift the delivery of renewable energy sources and tackle their uncertainty problems. In this paper, we propose an optimal...

Thermal load forecasting in district heating networks using deep learning and advanced feature selection methods

Recent research has seen several forecasting methods being applied for heat load forecasting of district heating networks. This paper presents two methods that gain significant improvements compared to the previous works. First, an automated way of handling non-linear dependencies in linear models is presented. In this context, the paper...

Performance evaluation of an underwater body and pumpjet by model testing in cavitation tunnel

Cavitation studies on axi-symmetric underwater body with pumpjet propulsor in cavitation tunnel

Experimental evaluation of pumpjet propulsor for an axisymmetric body in wind tunnel