Heat losses in ATES systems: The impact of processes, storage geometry and temperature

The technical and economic success of an Aquifer Thermal Energy Storage (ATES) system depends strongly on its thermal recovery efficiency, i.e. the ratio of the amount of energy that is recovered to the energy that was injected. Typically, conduction most strongly determines the thermal recovery efficiency of ATES systems at low storage...

Risk analysis of High-Temperature Aquifer Thermal Energy Storage (HT-ATES)

The storage of heat in aquifers, also referred to as Aquifer Thermal Energy Storage (ATES), bears a high potential to bridge the seasonal gap between periods of highest thermal energy demand and supply. With storage temperatures higher than 50 °C, High-Temperature (HT) ATES is capable to facilitate the integration of (non-)renewable heat...

The hidden side of cities: Methods for governance, planning and design for optimal use of subsurface space with ATES

Aquifer Thermal Energy Storage (ATES) systems provide sustainable space heating and cooling for buildings. In future, many buildings in moderate climates rely on ATES for their space heating and cooling. <br/>However, the subsurface space available for heat storage is limited and, there is a trade-off between individual ATES system efficiency...

Probabilistic energy management for building climate comfort in smart thermal grids with seasonal storage systems

This paper presents an energy management framework for building climate comfort (BCC) systems interconnected in a grid via aquifer thermal energy storage (ATES) systems in the presence of two types of uncertainty (private and common). ATES can be used either as a heat source (hot well) or sink (cold well) depending on the season. We consider...

Building climate energy management in smart thermal grids via aquifer thermal energy storage systems

This paper proposes a building energy management framework, described by mixed logical dynamical systems due to operating constraints and logic rules, together with an aquifer thermal energy storage (ATES) model. We develop a deterministic model predictive control strategy to meet building thermal energy demand. At each sampling a mixed...