AVIEW | THERMOSIM is a thermal power plant dispatch optimization model and a simulation software which guides investors at decision-making stage before and after plants are commisioned. It offers various options to plant operators regarding the dispatch regime under the term of operational excellence. All algotihms and mathematical models of AVIEW | THERMOSIM are developed by APLUS Enerji.

AVIEW | THERMOSIM uses technical and financial data of turbine manufacturers and hourly meterological data in the location where power plant is established. AVIEW | THERMOSIM considers different fuel price and DAM Price forecast scenario received from AVIEW | MARKETSIM. Therefore it determines the best possible selection through comparing the different models and types of turbine vendors in order to maximize the profit and to provide the most efficient operation regime. Since it has the ability to compare both performance and financial indicators of the thermal power plant it supports the investors during their investment decision process.

AVIEW | THERMOSIM can estimate the expected income flow of power plant by working integrated with AVIEW | MARKETSIM which calculates the future price scenarios. AVIEW | THERMOSIM is also used in order to establish the optimal bid sets for the power plants in operation. While AVIEW | THERMOSIM can perform dynamic optimizations by considering the power plant in a portfolio, it can also optimize the block, flexible or hourly bids.

AVIEW | THERMOSIM works integrated with RIX | ESTIM which is also developed by APLUS Enerji. RIX | Estim provides users to enter the scenarios for deviation rates from the expected values of important parameters (like natural gas crisis) that can affect the spot electricity price. Therefore, the users execute Monte Carlo simulations with RIX | ESTIM tool as many times as it satisfies a consistent statistical distribution and finally delivers the “Probabilistic Price Forward Curve”. AVIEW | THERMOSIM uses “Probabilistic Price Forward Curve” as an input in order to carry out dispatch optimizations. Finally, the total net income scenario of power plant which is obtained through dispatch optimization phase is used in an additional optimization and the potential risk of the business is minimized.