This bachelor's thesis addresses the evaluation of the economic feasibility of a Battery Energy
Storage System (BESS) in combination with a photovoltaic (PV) power plant and an Energy
Management System (EMS). The aim of the thesis was to develop a simulation model capable
of analysing energy flows and evaluating the economic performance of different operating
strategies based on real measurement data.
The simulation model was developed in the Python programming language and is based on one
year of measured electrical consumption data recorded at 15-minute intervals. The model
considers the operation of a photovoltaic power plant, a battery energy storage system, and an
energy management system. It incorporates strategies for peak shaving, energy arbitrage, and
the utilization of surplus photovoltaic generation. Special attention is also given to the impact
of battery degradation on the long-term economic performance of the system.
Based on the simulation results, the main energy and economic indicators were determined,
including annual savings, the number of equivalent battery cycles, investment payback period,
return on investment (ROI), and the net profit over the system lifetime. The obtained results
were compared with a preliminary investment assessment prepared by a company for the same
facility, showing good agreement between both analyses.
The developed simulation model represents a practical tool for the rapid evaluation of the
economic feasibility of investments in photovoltaic systems, battery energy storage systems,
and energy management systems. By using real measured data, the model enables a more
accurate analysis of energy flows and provides a reliable assessment of the economic
performance of different system configurations.
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