z-logo
open-access-imgOpen Access
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

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom