MoSiCS: Modeling, simulation and optimization of complex systems–A case study on energy efficient datacenters
Marcel Antal , Claudia Pop , Teodor Petrican , Andreea Valeria Vesa , Tudor Cioara , Ionut Anghel , Ioan Salomie , Ewa Niewiadomska-Szynkiewicz
AbstractThis paper proposes a methodology for modeling and simulation the operation of Complex Systems considering the energy perspective which may feature both discrete and continuous as well as linear and nonlinear sub-systems. The methodology integrates in a unified view, subsystems with behavioral or phenomenological models, each of them featuring a set of inputs, outputs and control variables with their associated actions. A proactive optimization process is defined in terms of system level flexibility as well as operation self-adaption, and is leveraging on model simulations to calculate over a time window the system outputs for a set of given inputs and actions. We aim to determine the optimal plan of actions over a set of predicted inputs that will minimize the distance between the system outputs and a given target. To prove its effectiveness, we model and simulate the thermal-electrical processes inside a Data Center, aiming to optimize its operation by exploiting the thermal energy flexibility to re-use the otherwise wasted heat in nearby neighborhoods. 1.
|Journal series||Simulation Modelling Practice and Theory, ISSN 1569-190X, (N/A 100 pkt)|
|Publication size in sheets||1|
|Keywords in English||Modeling Simulation Complex systems Adaptability Proactive planning and optimization Data center Energy efficiency Smart energy grid Thermal flexibility|
|ASJC Classification||; ;|
|Score||= 100.0, 20-10-2019, ArticleFromJournal|
|Publication indicators||= 0; : 2016 = 1.377; : 2017 = 2.092 (2) - 2017=2.239 (5)|
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