Building climate energy management in smart thermal grids via aquifer thermal energy storage systems
V. Rostampour Samarin (TU Delft - Team Bart De Schutter)
M. Jaxa-Rozen (TU Delft - Policy Analysis)
JM Bloemendal (TU Delft - Water Resources, KWR Water Research Institute)
Tamas Keviczky (TU Delft - Team Bart De Schutter)
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Abstract
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 integer quadratic optimization problem is formulated. We then provide a simulation study using an agent-based model and a geohydrological simulation environment (MODFLOW) to illustrate the performance of the framework.
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