Building climate energy management in smart thermal grids via aquifer thermal energy storage systems
V. Rostampour Samarin (TU Delft - Team Bart De Schutter)
Marc Jaxa-Rozen (TU Delft - Policy Analysis)
Martin Bloemendal (TU Delft - Water Resources, KWR Water Research Institute)
Tamás Keviczky (TU Delft - Team Bart De Schutter)
More Info
expand_more
Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.
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.
help_outline