Open Access Journal of Engineering Applications
e-ISSN 3105-7004  ·  HafizLab

Microgrid Energy Management using Monte Carlo Simulation

Arjun Park Corresponding 0000-0003-0877-8135
Georgia Institute of Technology
Mohammed Sato
Delft University of Technology

Abstract

Accurate prediction of microgrid energy management can substantially reduce the lifecycle cost of municipal waste systems. A predictive model based on Monte Carlo simulation is constructed to relate design variables to performance outcomes. The proposed model outperformed 2 competing approaches on every evaluation metric. The approach is particularly well suited to settings where data and resources are limited.
Keywords: microgrid energy managementMonte Carlo simulationcomputational fluid dynamicsfuzzy logic

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