THERMOECONOMIC FEASIBILITY STUDY OF MODIFICATION SUBCRITICAL POWER PLANT TO ULTRA-SUPERCRITICAL WITH A CAPACITY OF 660 MW

• Main Author: Syaukani, Muhammad
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/43722
• Institution: Institut Teknologi Bandung

Ultra-supercritical (USC) technology power plants are widely applied and still being developed in the world. Thermal Efficiency of USC is greater than subcritical (Sub-C) and environmentally friendly. However, the construction of this power plant requires large investment costs because it needs land requirement and new facilities. While in Indonesia, subcritical power plants still dominate and some are relatively old. The productivity will decrease with the duration of operating time. In addition, combustion emissions are also difficult to control and give serious problem to environment. The solution to these conditions is modification of the subcritical power plant to ultrasupercritical. The main component that is modified is the Sub-C boiler and several other additional components. This research aims to conduct thermoeconomic feasibility study of M-USC (Modified Ultra-supercritical) and N-USC (New Ultra-supercritical) with a capacity of 660 MW. thus, the results of this study can determine the type of power plant that is most feasible to build. The economic parameters being compared are LCOE (Levelized Cost of Electricity), IRR, NPV, BCR, PP. LCOE consist of investment costs, operating and maintenance costs, and fuel costs as a function of time. Thermodynamic simulations are also carried out to determine the characteristic parameters of each power plant that used for economic simulation calculation. Simulation results show that M-USC is better and economically feasible to be chosen with LCOE, IRR, NPV, BCR and PP are 5,16 cent US$/kWh, 13,33%, 114.791.081 US$, 3,47 and 7 years 2 months. In addition, sensitivity analysis is conducted on M-USC with results that the USC boiler and fuel costs will give a large impact on the economic parameters.