Building Climate Energy Management in Smart Thermal Grids via Aquifer Thermal Energy Storage Systems1
Author(s) -
Vahab Rostampour,
Marc Jaxa-Rozen,
Martin Bloemendal,
Tamás Keviczky
Publication year - 2016
Publication title -
energy procedia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.474
H-Index - 81
ISSN - 1876-6102
DOI - 10.1016/j.egypro.2016.10.019
Subject(s) - energy management , thermal energy storage , computer science , aquifer , thermal energy , energy (signal processing) , thermal , modflow , environmental science , mathematical optimization , engineering , mathematics , groundwater , meteorology , geotechnical engineering , ecology , statistics , physics , quantum mechanics , groundwater flow , biology
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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