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This paper focuses on the CitInES (City and Industry Energy System) project industrial use case, Tupras. The industrial use case includes plant modeling, historical replay, optimization, operation policy, and field testing. Reliable modeling was ensured by taking advantage of actual historical data. Missing or corrupted data were handled by data reconciliation. Optimization was carried out on historical operational data to develop optimized strategies which respect numerous actual technical constraints (design and safety constraints, efficiency curves, start-up costs). A guideline was created for operational management and another for electricity market bidding. During experimentation, the tool developed within the CitInES project handled complex utility systems and provided strategies for operating a power plant, enabled bidding on the Turkish electricity market, and answered feasibility studies for investment projects. The new production and bidding guidelines designed with the software reduced utility costs by 7 % without any new investment when compared to previous years. |
