Gas Engine Generator (GEG) Power plants as electricity producers need to be maintained using monitoring performance and continuously improvements. Company management of power plant is difficult to make decision for continuous improvement, requires Performance Measurement Tools (PMT) to determine the performance of a GEG power plant. PMT developed using Key Performance Indicator (KPI) that was defined through Forum Group Discussion (FGD) with different field of expertise in company and based on references and the weighting of KPI criterion that was developed by Analytic Hierarchy Process (AHP). This study was a case study at leading medium energy company in Indonesia. PMT is a tool to calculate Performance Score (PS) from the calculation of actual data, contracts and KPI (Power Output/PO, Heat Rate/HR, Operation Ratio/OR, Capacity Factor/CF) weights. If there is a gap in the PS then it can indicate penalty from customer especially PO and HR. Case study was conducted on three power plants that have different capacity and number of engines. The sum of the PS from the KPI will get a Total Performance Score (TPS). The highest TPS value will get a Performance Benchmark (PB) for each power plant.
Power plants as electricity producers need to be maintained using monitoring performance and continuous improvements. Company management of power plant is difficult to make a decision for the continuous improvement, requires Performance Measurement Tools (PMT) to determine the performance of a gas engine power plant. PMT developed using Key Performance Indicator (KPI) that was defined through Forum Group Discussion (FGD) with different field of expertise in company and based on references and the weighting of KPI criterion that was developed by Analytic Hierarchy Process (AHP). This study has developed the weight of KPI that the weight of each criterion which will be used as a reference is Rank 1 – Power Output (MW) – PO (70.81%), Rank 2 – Heat Rate (Btu/kWh) – HR (14.91%), Operating Ratio (%) – OR (8.06%) and Rank 4 – Capacity Factor (%) – CF (6.22%).
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