Print Email Facebook Twitter Probabilistic energy management for building climate comfort in smart thermal grids with seasonal storage systems Title Probabilistic energy management for building climate comfort in smart thermal grids with seasonal storage systems Author Rostampour, Vahab (TU Delft Team Tamas Keviczky) Keviczky, T. (TU Delft Team Tamas Keviczky) Date 2018 Abstract 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 the uncertain thermal energy demand of individual buildings as private uncertainty source and the uncertain common resource pool (ATES) between neighbors as common uncertainty source. We develop a large-scale stochastic hybrid dynamical model to predict the thermal energy imbalance in a network of interconnected BCC systems together with mutual interactions between their local ATES. We formulate a finite-horizon mixed-integer quadratic optimization problem with multiple chance constraints at each sampling time, which is in general a non-convex problem and hard to solve. We then provide a computationally tractable framework by extending the so-called robust randomized approach and offering a less conservative solution for a problem with multiple chance constraints. A simulation study is provided to compare completely decoupled, centralized and move-blocking centralized solutions. We also present a numerical study using a geohydrological simulation environment (MODFLOW) to illustrate the advantages of our proposed framework. Subject ATESBuilding Climate Comfort SystemsBuildingsCoolingEnergy storageMeteorologyMultiple Chance ConstraintsProbabilistic RobustnessRobust Randomized MPC.Seasonal Storage SystemsSmart Thermal GridsStochastic processesThermal energy To reference this document use: http://resolver.tudelft.nl/uuid:70d74a26-7eb5-4bef-b7ac-a4a60b3a8e83 DOI https://doi.org/10.1109/TSG.2018.2834150 Embargo date 2018-11-08 ISSN 1949-3053 Source IEEE Transactions on Smart Grid, 10 (July 2019) (4), 3687-3697 Bibliographical note Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type journal article Rights © 2018 Vahab Rostampour, T. Keviczky Files PDF Probabilistic_Energy_Mana ... ystems.pdf 1.5 MB Close viewer /islandora/object/uuid:70d74a26-7eb5-4bef-b7ac-a4a60b3a8e83/datastream/OBJ/view