Technologies & Economics

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1 Panos Konstantin Power and Energy Systems Technologies & Economics Case Study Cycle Simulation CCT Notes: 1. Cells with black characters include inputs 2. Cells with red characters include formulas 3. Download of FluidEXL is required 4. Read notes in Chapter Case Studies of the book The purpose of this Case Study is: 1.Training in calculation of thermodynamic cycles using FluidEXL 2. Calculation of performance parameters for cogeneration such as s, b, h cond, h total Last update March 2016

2 Panos Konstantin Disclaimer The Examples are solely and exlusively indented to provide support and assistance to the readers for practicing and better understanding of the theoretical part of this book.. The author, Panos Konstantin, believes that all information and guidance provided and all calculations in these examples are correct. Nevertheless anyone using these examples should carry out their own due dilligence and appraisal of the contents. No warranty is made nor responsibility or liability is taken or accepted by the author for adequacy, completeness or accuracy of the examples or assumptions on which they are based.. The author does not assume any liability to anyone for any loss or damage caused by any error or omission in this work, regardless of wether such error or omission is the result of negligence or any other reason. Any and all such liability is completely disclaimed. Panos Konstantin owns all intellectual property rights and all copyright shown in this website, unless otherwise stated. Proposals for improvements of the contents are welcome and will be considered in upcoming updates! Last Update March 2016

3 Item Simple Cycle as Turbine Power plant Nominal Plant Size ISO RSC Type of T - Siemens ST-700 Frequency Fuel 50 Hz Number of gas turbines 2 Site Conditions Elevation m Elevation Corr. Factor applied Elevation Correction Factor Applied to Power, Mass flow Ambient Temperature C Unit capacity Unit N F Rated Power output, gross (per T) MW e 31.2 Power output, gross MW e y = -3E-05x x Efficiency % 33.1% y = -2E-05x x Fuel consumption MW t = power output / efficiency Rated mass flow, per turbine lb / s 208 MMBTU / h Million BTU/h Flue gas mass flow, total lb / s y = -3E-05x x kg / s Flue gas temperature C y = 2E-05x x F 983 1,057 Source of ISO Data: as Turbine World, 2012 TW Handbook Formula / Remark

4 Inputs CCT Item Unit Cond Cogen Number of gas turbines - 2 T power output, each MW 31.2 Firing rate in LHV, each MW 85.7 as turbine make - Siemens ST-700 Flue gas HR inlet, each kg/s C HP live steam C t/h LP live steam (1 cond, 0 extraction) Pinch point, HRS K 14 Delta feed - makeup water K 20 Extraction steam t/h Backpressure steam extraction t/h Cooling medium, condenser inlet Temperature C outlet temperature C Terminal Temperature Difference K condensing temperature C Boiler inlet C Condensate return from factory % Pinch point, preheater C Makeup water C K water %

5 CCT_ISO_cond. 90 / 520 C % MWt 27.7 MW / 180 C Heat Recovery boiler ,020 T X = 87% 62.4 MW t/h 15 C # MW t/h kg/s kj/kg 0.0 MW C eletctical power thermal output, steam firing rate elect. efficiency, T-only electrical efficiency, total overall efficiency 0.0 t/h 0.0 MW MWt % m3/h C MW 90.1 #### MW 0.0 MW % 36.4% % 52.5% % 52.5% 117

6 CCT_ISO_cogen 90 / 520 C % MW / 180 C # Heat Recovery boiler ,020 T X = 87% kw 20.0 t/h 15 C # MW t/h kg/s kj/kg 13.0 MW C eletctical power thermal output, steam firing rate 16.4 t/h 11.4 MW kw % m3/h C MW 80.5 #### MW 39.6 MW elect. efficiency, T-only electrical efficiency, total overall efficiency % 36.4% % 46.9% % 70.0%

Technologies & Economics

Technologies & Economics Panos Konstantin Power and Energy Systems Technologies & Economics Case Study Integrated Model for Nuclear Generation Cost Calculation Notes: 1. Cells with black characters include inputs 2. Cells with

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