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ANALYSIS OF A BRAZILIAN THERMAL PLANT OPERATION APPLYING ENERGETIC AND EXERGETIC BALANCES

ABSTRACT

When the level of water reservoirs from Brazilian hydroelectric stations is low, additional thermal plants are turned on to complement the power of the national electric system. The fuels used in these plants are generally natural gas, fuel oil and coal. The objective of this work is to analyze energetically and exergetically a fuel oil thermal plant in operation in Brazil. Real industrial data were used in this analysis. The calculated total work of the turbine is 120.73 MW, which is close to the real value of 120 MW. The cycle energetic efficiency is 36.8% and the exergetic efficiency is 34.4%. The highest exergy destruction was found to be in the boiler (177.11 MW), followed by the high pressure turbine (13.37 MW), due to larger irreversibilities in the processes of these equipment. The exergetic analysis functioned as a complement to the energetic analysis, pointing out where the greatest irreversibilities and improvement potential are: in the boiler.

Key words:
Electrical power generation; Efficiency; Exergy destruction

INTRODUCTION

In Brazil, there is an interconnected system of electrical energy generation and distribution, which has a continental dimension and an installed capacity of 151.89 GW (MME, 2017Ministério de Minas e Energia (MME) – Brazilian Electrical System Monitoring – 2017. pp.15 Available at:http://www.mme.gov.br/documents/10584/4475726/Boletim+de+Monitoramento+do+Sistema+El%C3%A9trico+-+Janeiro-2017.pdf/18c00330-e3d9-4534-a9f1-73af3e989604. Acess: Aug. 2017.
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). This system, called “Sistema Interligado Nacional” (SIN), is responsible for about 98% of national electrical energy consumption. The basis of the Brazilian energetic matrix is hydroelectric energy, which generates about 64.6% of the electrical energy of the country (MME, 2017Ministério de Minas e Energia (MME) – Brazilian Electrical System Monitoring – 2017. pp.15 Available at:http://www.mme.gov.br/documents/10584/4475726/Boletim+de+Monitoramento+do+Sistema+El%C3%A9trico+-+Janeiro-2017.pdf/18c00330-e3d9-4534-a9f1-73af3e989604. Acess: Aug. 2017.
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). The other main sources of electrical energy are: thermal energy (28.5%), wind (6.9%) and solar energy (less than 0.1%). Because of economic reasons, Brazilian nuclear power plants operate uninterruptedly, as well as some of the other thermal power plants. On the other hand, some thermal plants are turned on to complement the power of the system when the level of water reservoirs from hydroelectric stations is low, as a consequence of the seasonal rainfall regime (Borba et al., 2012Borba, B.S.M.C., Lucena, A.F.P., Rathmann, R., Costa, I.V.L., Nogueira, L.P.P., Rochedo, P.R.R., Branco, D.A.C., Júnior, M.F.H., Szklo, A., and Schaeffer, R., Energy-related climate change mitigation in Brazil: Potential, abatement costs and associated policies. Energy Policy, 49, 430–441 (2012). Available at: https://doi.org/10.1016/j.enpol.2012.06.040
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). The “Operador Nacional do Sistema Elétrico” (ONS) is a private non-profit Brazilian entity that is responsible for coordinating and controlling the operation of the SIN electricity generation and transmission facilities under supervision and regulation of the National Electric Energy Agency (ANEEL) of Brazil. The ONS has the responsibility to dispatch regional thermal plant units. The dispatch of thermal power plants is determined by operational costs and according to the system demands (Rego, 2013Rego, E.E., Reserve price: Lessons learned from Brazilian electricity procurement auctions. Energy Policy, 60, 217–223 (2013). Available at: http://dx.doi.org/10.1016/j.enpol.2013.05.007.
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). The main fuel of Brazilian thermal plants is biomass (9.4% of the whole installed capacity), followed by natural gas (8.5%), oil (6.8%) and coal (2.4%) (MME, 2017Ministério de Minas e Energia (MME) – Brazilian Electrical System Monitoring – 2017. pp.15 Available at:http://www.mme.gov.br/documents/10584/4475726/Boletim+de+Monitoramento+do+Sistema+El%C3%A9trico+-+Janeiro-2017.pdf/18c00330-e3d9-4534-a9f1-73af3e989604. Acess: Aug. 2017.
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).

Many studies included energetic and exergetic analyses of systems (Araújo et al., 2007Araújo, A.C.B., Vasconcelos, L.G.S., Fossy, M.F., and Brito, R.P., Exergetic and economic analysis of an industrial distillation column. Brazilian Journal of Chemical Engineering, 24(3), 461-469 (2007). Available at: http://dx.doi.org/10.1590/S0104-66322007000300015
http://dx.doi.org/10.1590/S0104-66322007...
; Pambudi et al., 2014Pambudi, N.A., Itoi, R., Jalilinasrabady, S., and Jaelani, K., Exergy analysis and optimization of Dieng single-Flash geothermal power plant. Energy Conversion and Management, 78, 405–411 (2014). Available at: http://dx.doi.org/10.1016/j.enconman.2013.10.073
http://dx.doi.org/10.1016/j.enconman.201...
; Rego, 2013Rego, E.E., Reserve price: Lessons learned from Brazilian electricity procurement auctions. Energy Policy, 60, 217–223 (2013). Available at: http://dx.doi.org/10.1016/j.enpol.2013.05.007.
http://dx.doi.org/10.1016/j.enpol.2013.0...
; Sordi et al., 2009Sordi, A., Silva, E.P., Milanez, L.F., Lobkov, D.D., and Souza, S.N.M., Hydrogen from biomass gas steam reforming for low temperature fuel cell: energy and exergy analysis. Brazilian Journal of Chemical Engineering, 26(1), 159-169 (2009). Available at: http://dx.doi.org/10.1590/S0104-66322009000100015
http://dx.doi.org/10.1590/S0104-66322009...
; Utlu et al., 2006Utlu, Z., Sogut, Z., Hepbasli, A., and Oktay, Z., Energy and exergy analyses of a raw mill in a cement production. Applied Thermal Engineering, 26(17–18), 2479–2489 (2006). Available at: https://doi.org/10.1016/j.applthermaleng.2005.11.016
https://doi.org/10.1016/j.applthermaleng...
). In some cases, it is specifically applied to thermal power plants (Adibhatla and Kaushik, 2014Adibhatla, S., and Kaushik, S.C., Energy and exergy analysis of a super critical thermal power plant at various load conditions under constant and pure sliding pressure operation. Applied Thermal Engineering, 73(1), 49–63 (2014). Available at: http://dx.doi.org/10.1016/j.applthermaleng.2014.07.030.
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; Aminov et al., 2013Aminov, Z., Nakagoshi, N., Xuan, T.D., Higashi, O., and Alikulov, K., Evaluation of the energy efficiency of combined cycle gas turbine. Case study of Tashkent thermal power plant, Uzbekistan. Applied Thermal Engineering, 103, 501–509 (2016). Available at: http://dx.doi.org/10.1016/j.applthermaleng.2016.03.158
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; Aljundi, 2009Aljundi, I.H., Energy and exergy analysis of a steam power plant in Jordan. Applied Thermal Engineering, 29(2–3), 324–328 (2009).. Available at: http://dx.doi.org/10.1016/j.applthermaleng.2008.02.029.
http://dx.doi.org/10.1016/j.applthermale...
; Kamate and Gangavati, 2009Kamate, S.C. and Gangavati, P.B., Exergy analysis of cogeneration power plants in sugar industries. Applied Thermal Engineering, 29(5–6), 1187–1194 (2009). Available at: http://dx.doi.org/10.1016/j.applthermaleng.2008.06.016.
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; Kaushik et al, 2015Kaushik, S.C., Manikandan, S. and Hans, R., Energy and exergy analysis of thermoelectric heat pump system. International Journal of Heat and Mass Transfer, 86, 843–852 (2015). Available at: http://dx.doi.org/10.1016/j.ijheatmasstransfer.2015.03.069.
http://dx.doi.org/10.1016/j.ijheatmasstr...
; Regulagadda et al., 2010Regulagadda, P., Dincer, I. and Naterer, G.F., Exergy analysis of a thermal power plant with measured boiler and turbine losses. Applied Thermal Engineering, 30(8–9), 970–976 (2010). Available at: http://dx.doi.org/10.1016/j.applthermaleng.2010.01.008.
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; Rosen and Dincer, 2003Rosen, M.A. and Dincer, I., Exergoeconomic analysis of power plants operating on various fuels. Applied Thermal Engineering, 23(6), 643–658 (2003).). Regulagadda et al. (2010)Regulagadda, P., Dincer, I. and Naterer, G.F., Exergy analysis of a thermal power plant with measured boiler and turbine losses. Applied Thermal Engineering, 30(8–9), 970–976 (2010). Available at: http://dx.doi.org/10.1016/j.applthermaleng.2010.01.008.
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emphasize the limitations of an energetic analysis of the thermodynamic cycle, since it does not consider system irreversibilities, environmental conditions and the degradation of energy quality. Therefore, an exergetic analysis may be applied to minimize the limitations of the energy balance (Regulagadda et al., 2010Regulagadda, P., Dincer, I. and Naterer, G.F., Exergy analysis of a thermal power plant with measured boiler and turbine losses. Applied Thermal Engineering, 30(8–9), 970–976 (2010). Available at: http://dx.doi.org/10.1016/j.applthermaleng.2010.01.008.
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).

The objective of this work is to analyze energetically and exergetically a fuel oil thermal power plant in operation, which is located in the state of Minas Gerais, Brazil. Real industrial data are used in this analysis. The operating conditions used in this work were reported directly from plant operators and represent actual adopted values in daily operations.

SYSTEM DESCRIPTION

The Igarapé Thermal Power Plant was built in 1978 and its operation started with an installed capacity of 125 MW. In 1999, after some modifications, its capacity was increased to 131 MW. The energy source of the plant is fuel oil 1A. The power delivered from the plant to the electrical system varies according to the demand of ONS. In this work, operational conditions that result in a gross power output of 120 MW are considered.

The process of electrical energy generation in this plant consists of a Rankine cycle, and a simplified flow diagram of the plant is shown in Fig. 1. The water stream extracted from the condenser (1) enters the condensate extraction pump (CEP) to be pressurized. It then passes through low pressure heaters (LPH1 and LPH2), where it receives heat from the vapor extractions (I) and (II), which come from the low pressure turbine (LPT). The partially heated water stream (4) enters the deaerator (DE), which operates counter currently to remove dissolved oxygen. In this equipment, there is also addition of the vapor extraction (III), which comes from the medium pressure turbine (MPT), and addition of the liquid extraction (B), which comes from the high pressure heater (HPH1). Water stream (5) moves to the boiler feed pump (BFP), where it is once again pressurized, and passes through the high pressure heaters (HPH1 and HPH 2). Heat received in these equipments is from extractions (IV) and (V), which come from the medium pressure (MPT) and high pressure turbines (HPT) respectively. The following stream (8) is split into stream (9) and the desuperheater (DS) stream (20). The latter bypasses the boiler to control its output temperature. Stream (9) enters the boiler and is heated in various sections. After passing through the economizer (ECO), the water stream enters the drum. It recirculates through the water wall tubes (WWT), and saturated vapor leaves the drum. Vapor stream (11) enters the superheater (SH) and is then mixed with stream (20). Stream (13) enters the HPT and does work. The output vapor stream (14) is split into stream (15) and into extraction (V). Stream (15) returns to the boiler and passes through the reheater (RH). Stream (17) enters the MPT and does work. Three streams leave the MPT: extraction (IV), extraction (III), and stream (18); the latter enters the LPT and does work. The LPT has three output streams: extraction (II), extraction (I), and stream (19). The latter flows into the condenser, where it is cooled at low pressure, closing the water cycle.

Figure 1
Process flow diagram: BFP – Boiler Feed Pump; CEP – Condensate Extraction Pump; DE – Deaerator; DS – Desuperheater; ECO – Economizer; HPH – High Pressure Heater; HPT - High Pressure Turbine; LPH – Low Pressure Heater; LPT – Low Pressure Turbine; MPT – Medium Pressure Turbine; RH – Reheater; SH – Superheater; WWT – Water Wall Tubes.

CALCULATION METHODOLOGY

Table 1 shows real data of the streams 1 to 19 provided by plant operators. Enthalpy and entropy from each stream were obtained using public software from Zittau/Goerlitz University (Zittau’s Fluid Property Calculator, 2017Zittau’s Fluid Property Calculator. Zittau/Goerlitz University of Applied Sciences, Faculty of Mechanical Engineering. Acess: April 2017. Available at:https://web1.hszg.de/thermo_fpc/index.php
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).

Table 1
Real data from plant operation.

Some considerations were made for the calculations:

  • The process is in the steady-state;

  • Kinetic and potential energy variations are neglected;

  • The auxiliary vapor system used to heat the fuel oil tubes and the vacuum system ejectors are neglected;

  • Heat loss in the heaters is neglected;

  • The operation in SH, RH, HPH1, HPH2, LPH1, and LPH2 is isobaric;

  • The turbines and the pumps operate adiabatically;

  • The temperature of stream (2) was estimated at 320.15 K;

  • Extraction (I) is saturated vapor;

  • The streams leaving the heater (A-D) and leaving the deaerator (stream 5) are saturated liquids;

  • The fuel oil is an incompressible fluid and has a constant heat capacity;

  • The reference temperature is 298.15K;

Table 2 presents real pressure data of the extractions (I-V).

Table 2
Real pressure data from turbine extractions.

The temperatures of the extractions (II), (III), (IV), and stream (19) were calculated with interpolations. Temperature, pressure, and entropy data from the vapor table were used, as well as thermodynamic properties of extraction (I) and stream (17). The mass flow rates of streams (1-4; 6-19) were calculated in mass balances. The mass flow rates of extractions (I-V) were calculated in energy balances and are shown in Equations (1a-1e).

m . V = m . 7 · h 8 - h 7 h V - h A (1a)

m . I V = m . 6 · h 7 - h 6 - m . V · h A - h B h I V - h B (1b)

m . I I I = m . 5 · h 5 - h 4 - m . V + m . I V · h B - h 4 h I I I - h 4 (1c)

m . I I = m . 3 · h 4 - h 3 h I I - h C (1d)

m . I = m . 2 · h 3 - h 2 - m . I I · h C - h D h I - h D (1e)

Work rate (W˙) and specific work (w) of turbines and pumps are calculated from the energy balance, as shown in Equations (2) and (3), respectively, where n is the number of output streams. As there are no data from stream (18), the work of the MPT and LPT are calculated together.

W . = i = 1 n m . o u t , i · h i n - h o u t , i - 𝖰 . L (2)

w = W . m . i n (3)

The total work rate of the turbines (WT) is calculated in Equation (4). The energetic efficiencies of the turbines (ηT,En) and the pumps (ηB,En) are obtained from Equations (5) and (6) respectively.

W . T = W . M P T / L P T + W . H P T (4)

η t , E n = W . W . + 𝖰 . L (5)

η P , E n = W . - 𝖰 . L W . (6)

The heat rate output in the condenser (Q˙C) and the specific heat output in the condenser (qc) are calculated in Equations (7) and (8) respectively.

𝖰 . C = m . 19 · h 19 - h 1 + m . I + m . I I · h D - h 1 (7)

q c = 𝖰 . C m . 1 (8)

The heat rate input in the boiler (Q˙B) and the specific heat input in the boiler (qB) are shown in Equations (9) and (10) respectively.

𝖰 . B = m . 8 · h 12 - h 8 + m . 15 · h 16 - h 15 (9)

q B = 𝖰 . B m . 12 + m . 15 (10)

The energetic efficiency of the boiler (ηB,En) was calculated based on the lower heating value (LHV) of the fuel, as shown in Equation (11).

η B , E n = 𝖰 . B m . ƒ · L H V (11)

The net power output (W˙e) and the energetic efficiency of the cycle (ηEn) were calculated according to Equations (12) and (13).

W . e = W . T - W . B F P - W C E P (12)

η E n = W . e m . ƒ · L H V (13)

The net power output (W˙e) was also calculated from a global energy balance, which resulted in Equation (14).

W . e = 𝖰 . B - 𝖰 . C (14)

Carnot efficiency (ηCarnot) is calculated in Equation (15), where (W˙rev) is the reversible work rate. The temperature in the boiler (TB) was considered to be 804.15 K, which is the temperature of the stream leaving the superheater (SH) (stream 12). The temperature in the condenser (TC) was considered to be 290.15 K, the temperature of water from the river that cools the condenser.

η C a r n o t = W . r e v 𝖰 . B = T B - T C T H (15)

The exergy of the streams, shown in Equation (16), was calculated considering the reference state T0 = 298.15 K and P0 = 0.101325 MPa. Exergy represents the maximum capacity of a stream to do reversible work without heat transfer (Regulagadda et al. 2010Regulagadda, P., Dincer, I. and Naterer, G.F., Exergy analysis of a thermal power plant with measured boiler and turbine losses. Applied Thermal Engineering, 30(8–9), 970–976 (2010). Available at: http://dx.doi.org/10.1016/j.applthermaleng.2010.01.008.
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).

e x = h - T 0 · s - h 0 - T 0 · s 0 (16)

The exergy balance, shown in Equation (17), associates the variation of exergy (Ex) with heat transfer rate (Q˙), work rate (W˙), exergy input, exergy output, and exergy destruction rate (I˙d). Exergy destruction is associated with generation of irreversibility. Equation (18) shows the calculation of exergy destruction for a steady-state process. Equation (19) shows the calculation for an adiabatic process, as considered in the turbines and pumps.

d E x d t = 𝖰 . · 1 - T 0 T - W . + i n m . · e x - o u t m . · e x - I . d (17)

I d . = 𝖰 . · 1 - T 0 T - W . + i n m . · e x - o u t m . · e x (18)

I d . = i n m . · e x - o u t m . · e x - W . (19)

The reversible work rate (W˙rev), which occurs in the absence of exergy destruction, is calculated in Equation (20). Since there are irreversibilities in the process, which lead to exergy destruction, the exergetic efficiencies of the turbines (ηT,Ex) and the pumps (ηP,Ex) are calculated in Equations (21) and (22), respectively. The exergy efficiency of the boiler (ηB,Ex) is defined as the exergy added to the system divided by the exergy of the fuel, as shown in Equation (23).

W . r e v , m a x = i n m . · e x - o u t m . · e x (20)

η T , E x = W . W . r e v (21)

η P , E x = W r e v . W . (22)

η B , E x = m . 8 e x 12 - e x 8 + m . 15 · e x 16 - e x 15 m . ƒ · e x ƒ (23)

The exergy of the fuel (exf) is the sum of thermo-mechanical (extm) and chemical exergy (exchem) (Equation 24). The thermo-mechanical exergy (extm) is calculated in Equation (25) and the chemical exergy is calculated in Equations (26) and (27), where zi is the mass fraction of the component i in the mixture. Chemical exergy is based on fuel composition and lower heating value (LHV) (Szargut et al., 1988Szargut J., Morris., D.R. and Steward, F.R., Exergy Analysis of Thermal, Chemical and Metallurgical Process. Hemisphere Publishing Corporation, New York, 332p. (1988).). Tables 3 and 4 present fuel oil, air and flue gas data.

e x ƒ = e x c h e m + e x t m (24)

e x t m = c p · T - T 0 - T 0 · c p · ln T T 0 (25)

e x q u i m = β · P C I (26)

β = 1 . 401 + 0 . 1728 · z H z C + 0 . 0432 · z O z C + 0 . 2169 · z S z C · 1 - 2 . 0628 · z H z C (27)

Table 3
Fuel oil composition.
Table 4
Fuel oil, air and flue gas data.

In order to calculate the exergy destruction in the boiler (I˙d,B), a control volume in the whole boiler is chosen. For a steady state process (dEx/dt = 0), no work done (W˙=0), and no heat loss to the environment (Q˙=0), Equation (17) is turned into:

I . d , B = i n m . · e x - o u t m . · e x (28)

Considering that air is a mixture of nitrogen (N2) and oxygen (O2), and that the fuel is completely converted into carbon dioxide (CO2), water (H2O) and sulfur trioxide (SO3):

I . d , B = m . ƒ · e x ƒ + m . O 2 i n · e x O 2 i n + m . N 2 i n · e x N 2 i n + m . 8 e x 8 - e x 12 + m . 15 e x 15 - e x 16 - m . C O 2 o u t · e x C O 2 o u t - m . H 2 O o u t · e x H 2 O o u t - m . S O 3 o u t · e x S O 3 o u t + m . O 2 o u t · e x O 2 o u t + m . N 2 o u t · e x N 2 o u t (29)

The mass flow rate of each air and flue gas component is calculated in a molar balance. The specific heat of each component is a function of temperature, and Equation (30) (Smith et al., 2008) is used to estimate them, where A, B and D are parameters.

c p T = A + B · T + D · T - 2 (30)

In order to calculate the exergy of each air and flue gas component, Equation (16) is further developed.

e x = T 0 T c p d t - T 0 · T 0 T T - 1 · c p d T (31)

e x = R · A · T - T 0 · 1 + ln T / T 0 + B · T 2 / 2 - T · T 0 + T 0 2 / 2 + D · 2 · T 0 / T 2 - 1 / T - 1 / T 0 (32)

The exergetic efficiency of the cycle is the net power output divided by the fuel exergy, as shown in Equation (33).

n E x = W . e m . ƒ · e x ƒ (33)

RESULTS AND DISCUSSION

The properties of all streams are organized in Table 5. Fig. 2 shows a diagram of temperature as a function of entropy for all streams. The dotted lines in Fig. 2 emphasize the main cycle and the dashed lines link the vapor extractions to their corresponding condensed streams. Thermodynamic principles of the Rankine cycle may be seen in Fig. 2, like superheating and reheating.

Table 5
Stream properties.

Figure 2
Temperature vs entropy diagram of the Rankine water-steam cycle.

Table 6 shows calculated data of work, efficiency, and exergy destruction of the turbines and the pumps. MPT and LPT showed the best results in both energy and exergy efficiencies. The best results of these turbines in relation to the HPT can be explained by a better ratio of specific volume and blade size of the former, leading to a more adequate residence time and a less irreversible operation.

Table 6
Work, efficiency and exergy destruction of turbines and pumps.

The irreversibilities in pumps are generally seen in the increase of temperature during compression. Since the temperature of CEP was estimated, it may be the reason why it was less efficient than BFP.

Table 7 shows fuel exergy parameters and Table 8 shows boiler heat input, efficiencies and exergy destruction rate. The energetic efficiency of the boiler was 95.6%, which means that the conversion of chemical energy into internal energy of the steam is considerable. The loss of energy in the boiler is associated with flue gas temperature and heat loss to the environment through equipment walls. The exergy efficiency is 46.9%, which is substantially lower than the energy efficiency. This difference is due to the fact that the exergy efficiency is not only affected by flue gas temperature leaving the boiler and heat loss through equipment walls, but specially by irreversibilities in fuel oil combustion and in heat transfer. The irreversibilities are emphasized in the exergy destruction rate (I˙d) of the boiler, which was the highest exergy destruction rate in all equipment. The second highest exergy destruction rate was in the HPT and the third was in the MPT/LPT. The pumps showed the least exergy destruction rate.

Table 7
Fuel exergy parameters.
Table 8
Boiler efficiency parameters.

Table 9 shows general cycle parameters. The gross power output is 120.73 MW, which is close to the real value of 120 MW, and to the value obtained by global balance (Equation 16) of 116.43 MW, showing that the energetic analysis is consistent. The calculated net power output is 117.12 MW. The cycle energetic efficiency of 36.8% is significantly lower than the Carnot efficiency (63.9%), which indicates that there are several irreversibilities in the cycle, as was seen for each equipment. The cycle exergetic efficiency was 34.4%.

Table 9
Cycle parameters.

Figures 3 and 4 show the energy and exergy flows in the power plant, respectively. The energetic analysis shows that the heat rejected in the condenser is the greatest loss of energy (58.1%) in the plant, which may suggest that it is the main source of efficiency decrease in the cycle. However, the exergetic analysis shows that the destruction of exergy in the boiler is the main source of exergy loss in the cycle (52.1%), which is much greater than in the turbines (6.6%) and the condenser (less than 5%). Therefore, efforts to make the power plant more efficient should be directed into decreasing the exergy destruction in the boiler.

Figure 3
Energy flows in the ppower plant.

Figure 4
Exergy flows in the power plant.

The Sustainability Index (SI) is also a measurement of the plant efficiency. It was calculated in Equation (34) (Regulagadda et al., 2010Regulagadda, P., Dincer, I. and Naterer, G.F., Exergy analysis of a thermal power plant with measured boiler and turbine losses. Applied Thermal Engineering, 30(8–9), 970–976 (2010). Available at: http://dx.doi.org/10.1016/j.applthermaleng.2010.01.008.
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) and the result is SI = 1.64.

S I = e x e r g y i n p u t e x e r g y d e s t r u c t i o n (34)

The Improvement Potential Rate (IP˙) evaluates how much room for improvement the cycle has. Is was calculated in Equation (35) (Van Gool, 1992Van Gool, W., Exergy analysis of industrial processes. Energy 17(8), 791-803 (1992). Available at: https://doi.org/10.1016/0360-5442(92)90123-H
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) and the result is IP˙ = 133.26 MW. According to the IP˙ value, the power plant might be improved to approximately double its actual capacity.

I P . = 1 - η E x · I · d (35)

Table 10 shows data reported in the literature for different power plants. The present work shows significant energetic and exergetic efficiency when compared with other works. Its efficiencies are close to the ones reported by Adibhatla and Kaushik (2014)Adibhatla, S., and Kaushik, S.C., Energy and exergy analysis of a super critical thermal power plant at various load conditions under constant and pure sliding pressure operation. Applied Thermal Engineering, 73(1), 49–63 (2014). Available at: http://dx.doi.org/10.1016/j.applthermaleng.2014.07.030.
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, which are the highest efficiencies listed in Table 10.

Table 10
Cycle parameters from the literature.

CONCLUSIONS

The analysis of the power plant had adequate considerations and allowed a consistent analysis of the cycle. The gross power output is 120.73 MW, which is close to the real value of 120 MW. The cycle energetic efficiency is 36.8%, which is significantly lower than the Carnot efficiency of 63.9%, due to the former irreversibilities, but its efficiency is considerable for a 39 year old plant and when compared with the efficiency reported by other authors. The medium pressure turbine (MPT) and the lower pressure turbine (LPT) showed the best efficiencies of the cycle. The boiler showed the greatest exergy destruction rate, while the high pressure turbine (HPT) and the condenser extraction pump (CEP) had the lowest exergy efficiency. The exergy analysis complemented the energy analysis and it had great importance in analyzing the irreversibilities of the process. If the exergetic analysis was not used, the boiler would present 95.6% of efficiency and all its exergy destruction of 177.11 MW would be neglected. Therefore, the boiler would not be considered the main source of irreversibilities in the cycle. The low efficiency in the high pressure turbine (HPT) and condenser extraction pump (CEP) would also be neglected if no exergy analysis was proposed.

ACKNOWLEDGMENTS

The authors are grateful for the scholarships granted by the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) and the financial support granted by Fundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG) (Edital 01/2016 – Demanda Universal – TEC – APQ-00914-16).

NOMENCLATURE

  • Cp  heat capacity (kJ kg-1·K-1)
  • ex  specific exergy (kJ·kg-1)
  • h  specific enthalpy (kJ·kg-1)
  • m ˙  mass flow rate (kg·s-1)
  • I d ˙  exergy destruction rate (MW)
  • P  pressure (MPa)
  • Q ˙  heat transfer rate (MW)
  • q ˙  specific heat transfer (kJ·kg-1)
  • s  specific entropy (kJ·kg-1·K-1)
  • T  temperature (K)
  • W ˙  work rate (MW)
  • w  specific work (kJ·kg-1)
  • z  fuel mass fraction

Greek

  • η  efficiency

Subscript

  • 0  reference properties
  • a  air
  • B  boiler
  • C  condenser
  • chem  chemical
  • e  net output
  • En  energetic
  • Ex  exergetic
  • f  fuel
  • fg  flue gas
  • g  gross output
  • in  input value
  • L  loss
  • out  output value
  • P  pump
  • rev  reversible
  • s  isoentropic
  • T  turbine
  • tm  termo-mechanical

Abbreviations

  • BFP  boiler feed pump
  • CEP  condensate extraction pump
  • DE  deaerator
  • ECO  economizer
  • HPH  high pressure heater
  • HPT  high pressure turbine
  • LHV  lower heating value (kJ·kg-1)
  • LPH  low pressure heater
  • LPT  low pressure turbine
  • MPT  medium pressure turbine
  • RH  reheater
  • SH  superheater
  • WWT  water wall tubes

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Publication Dates

  • Publication in this collection
    Dec 2018

History

  • Received
    09 Aug 2017
  • Reviewed
    09 Dec 2017
  • Accepted
    03 Jan 2018
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