Abstract

This article investigates the concept of a supercritical carbon dioxide (sCO2) bottoming cycle for a combined-cycle cogeneration (heat and power) plant. The application of sCO2 technology to the cogeneration and the combined-cycle plants leads to an increase in the energetic and economic effectiveness. Two systems were evaluated and compared to the commercially available systems. Exergetic, economic, and exergoeconomic analyses were applied to calculate the levelized cost of both products (heat and power). The system components with the highest associated cost rate were identified, and an optimization strategy was suggested. Based on the economic assumptions used, the levelized cost of the total product generated by the evaluated systems showed strong competitiveness compared to current technologies.

1 Introduction

Cogeneration plants, i.e., combined heat and power (CHP) plants, are currently under operation and are based on conventional commercial technologies. Many technological concepts could be classified as a CHP. The waste thermal energy from a power plant can be further utilized as process heat, district heating, etc. A combined cycle is a technology based on a combination of a topping cycle and a bottoming cycle (Fig. 1), where the waste thermal energy from the topping cycle is the driving energy for the bottoming cycle. A bottoming cycle can be a steam power system for a large-scale application or an organic Rankine cycle (ORC) for a medium to small scale. There are many technical possibilities to produce heat from both topping and bottoming cycles, in addition to electricity. Such technologies are called “combined-cycle cogeneration plants.” The energetic efficiency of cogeneration plants includes both energy effects regardless of which cycle these effects are generated. An energy efficiency [based on the value of the lower heating value (LHV)] of more than 65% could be achieved in comparison to an average of 50% for a detached generation of heat and power. At least 2.2 $¢/kWh worth of fuel could be saved in a CHP approach while providing the same quantity of heat against using a separate boiler [13]. Figure 2 shows the potential cost benefits.

Fig. 1
Classification of CHP plants
Fig. 1
Classification of CHP plants
Close modal
Fig. 2
LCOE of CHP compared to average prices in the United States (adapted from Ref. [1])
Fig. 2
LCOE of CHP compared to average prices in the United States (adapted from Ref. [1])
Close modal

Industrial implementation of the supercritical carbon dioxide (sCO2) cycles for electricity generation is at the level of development despite more than 50 years of research [47]. Modern research publications and technical reports demonstrate a strong potential for sCO2 cycles across a wide range of temperatures and power capacities, particularly in replacing conventional steam Rankine as a bottoming cycle. The benefits of a CHP approach and the sCO2 technology [8] could lead to efficient and economically feasible power and heat generation.

There are many studies focused on the application of sCO2 cycles for thermal energy recovery, including the bottoming cycle for gas-turbine systems, and only a few studies have focused on the application of sCO2 cycles for CHP applications. However, comprehensive energy, exergy, and economic evaluations are reported in a much smaller number of publications. For example, a comparative exergoeconomic analysis between the supercritical CO2 and the ORC (with the following working fluids: R123, R245fa, toluene, isobutane, isopentane, and cyclohexane) for heat recovery from the transcritical CO2 cycle has been reported in Ref. [9]. The net power that can be produced within sCO2 or ORC cycles is 14 MW, and the temperature at the inlet of the turbine is 120 °C. The overall energetic and exergetic efficiency is reported as 44% and 61%, respectively. An exergoeconomics optimization of sCO2/tCO2 plants demonstrates a reduction of 2.3% in the product unit cost while reducing the exergetic efficiency is 2.45%. Better economic performance can be achieved only for isobutane as the ORC working fluid (sCO2/ORC) with a reduction in the product unit cost by 3.36%.

In Ref. [10], the exergoeconomic and exergoenvironmental analyses are applied to complex cogeneration systems consisting of a gas-turbine system (exhaust gas temperature is 530 °C), a sCO2 recompression cycle, and an organic Rankine cycle. 50 MW of exergy is the total exergy product (power and steam). The reported energetic efficiency is almost 50%, while the exergetic efficiency is 53%. The total cost of produced power and steam is 12.6 $/GJex and 8.74 $/GJex, responding.

Among many known sCO2 cycles that can be used as a stand-alone technology, the recompression sCO2 cycles are the most thermodynamically and cost-efficient [1114].

This article investigates the application of a recompression sCO2 cycle as a “bottoming cycle” using exergy, economic, and exergoeconomic analyses.

2 Simulation and Energy Analysis

2.1 Simulation Model and Assumptions.

This study considers two CHP plants with single and double sCO2 bottoming cycles using a recompression layout. For simplicity, throughout the article, the single bottoming cycle is referred to as cycle A, and the double bottoming as cycle B. The simulation of the cycles was conducted using the ebsilon professional [15], which was developed for the design of power plants and the simulation of the thermodynamic processes. The REFPROP library is used to calculate the thermodynamic properties of the working fluid [16], where the Span–Wagner equations of state are implemented, which are currently the most accurate in predicting sCO2 thermodynamic properties [17]. The environmental conditions are assumed to be as follows: Ambient temperature (and fuel temperature)—15 °C; air relative humidity—60%; ambient pressure—1.013 bar.

The exhaust gas temperature at the exit from the open-cycle gas-turbine system (topping cycle) can be varied in the range of 450–600 °C [18].

2.1.1 Supercritical Carbon Dioxide Bottoming Cycle-Based Combined Heat and Power (Cycle A).

Cycle A schematic layout is shown in Fig. 3. The temperature of the exhaust gas is 590 °C and the maximum temperature of the sCO2 working fluid at the inlet of the sCO2 turbine is up to 550 °C; nonetheless, the temperature of exhaust gas at the exit of the PHX is still high at 470 °C. For that reason, heat generation is achieved by water heating for direct consumption at temperatures up to 100 °C.

Fig. 3
Cycle “A” configuration
Fig. 3
Cycle “A” configuration
Close modal

The mass flowrates of the working fluid in the sCO2 cycle are optimized between the main compressor and recompressor. After the recuperation process in the high-temperature recuperator (HTR) and low-temperature recuperator (LTR), the flow splits before entering the heat consumer. The sCO2 working fluid is compressed in the main compressor. The second stream is compressed in the recompressor and then combined with the stream coming from the main compressor; both streams are mixed and then pass the HTR. Thermal energy is added to the sCO2 cycle in the primary heater (PHX). The high-pressure sCO2 working fluid is expanded in the CO2 turbine to further generate electricity in Generator 2. The sCO2 stream cools down after passing HTR and LTR. Also, to avoid the pinch point problem in the cycle, the temperature after the heat consumer is increased up to 37 °C. The flow ratio at the splitter is selected as 40% to achieve a higher temperature for the heating water; this significantly influences the cycle efficiency. Also, the turbine inlet temperature (TIT) is an important parameter that dramatically influences the cycle efficiency. These two parameters should be used for the optimization of the cycle to reach optimal performance, i.e., achieving higher efficiency at lower costs.

2.1.2 Supercritical Carbon Dioxide Double Bottoming Cycle-Based Combined Heat and Power (Cycle B).

Cycle B (Fig. 4) comprises two sCO2 bottoming cycles: high-temperature cycle (HTC) and low-temperature cycle (LTC). Two heat sources are used to provide the sCO2 cycles with driving energy. The TIT at the high-temperature cycle is 560 °C, while the TIT of the low-temperature cycle is 375 °C. Since the LTC has a low temperature compared with the HTC, the amount of power that can be produced from this cycle is lower at the same mass flowrate.

Fig. 4
Cycle “B” configuration
Fig. 4
Cycle “B” configuration
Close modal

Pressure at the main compressor outlet is set to 200 bar for HTC and LTC, while the pressure at the recompressor inlet is set to 76 bar. The lower temperature of the HTC was increased from 37 °C to 39 °C to avoid the pinch point problem.

2.2 Energy Analysis.

For a cogeneration system, it is necessary to define the electrical efficiency (ηel) and the total efficiency (ηtot)

(1)
(2)

The equations to calculate the values ηel and ηth were introduced to the ebsilon software.

Table 1 illustrates the assumptions used for simulations. The pressure at the inlet of the main compressor is set to 76.9 bar to make sure the cycle remains supercritical, and the recompressor outlet pressure is assumed to be 200 bar based on the current state of the technology [7]. The design parameters for the turbomachinery were chosen according to Ref. [19].

Table 1

Design parameters assumed for simulation

Variables (units)Value
Gas turbineSimple cycle
FuelNatural gas (approximated to CH4, LHV = 50 MJ/kg)
Fuel flow rate (kg/s)7
Stoichiometric amount of air2.6
Compressor isentropic/mechanical efficiency (%)86/98
Compressor and expander pressure ratio17
Turbine isentropic/mechanical efficiency (%)92/99
Generators efficiency (%)98
sCO2 cycleRecompression cycle
Turbine inlet temperature (°C)/pressure (bar)550/197.5
Turbine isentropic/mechanical efficiency (%)92/98
Recycle flow ratio (%)40
CO2 flowrate (kg/s)280
HTR/LTR effectiveness (%)97/88
Main compressor isentropic efficiency (%)92
Recompressor isentropic efficiency (%)89
Compressor inlet temperature (°C)/pressure (bar)37/76.9
Compressor outlet pressure (bar)200
Variables (units)Value
Gas turbineSimple cycle
FuelNatural gas (approximated to CH4, LHV = 50 MJ/kg)
Fuel flow rate (kg/s)7
Stoichiometric amount of air2.6
Compressor isentropic/mechanical efficiency (%)86/98
Compressor and expander pressure ratio17
Turbine isentropic/mechanical efficiency (%)92/99
Generators efficiency (%)98
sCO2 cycleRecompression cycle
Turbine inlet temperature (°C)/pressure (bar)550/197.5
Turbine isentropic/mechanical efficiency (%)92/98
Recycle flow ratio (%)40
CO2 flowrate (kg/s)280
HTR/LTR effectiveness (%)97/88
Main compressor isentropic efficiency (%)92
Recompressor isentropic efficiency (%)89
Compressor inlet temperature (°C)/pressure (bar)37/76.9
Compressor outlet pressure (bar)200

Cycle A has an electric efficiency of 43.8% and a total efficiency of 75.1%; it can be concluded that the cogeneration system is energetically efficient. For cycle B, the electric efficiency is 45.5% and the total efficiency is 75.6%.

The simulation of cycle A is completed at TIT of 550 °C. A sensitivity analysis was applied to the turbine inlet temperature range from 425 °C to 575 °C. The results (Fig. 5) show that for a difference of 75 K in the value of TIT, the cycle efficiency changes by 1% point.

Fig. 5
sCO2 single cycle-based CHP (cycle A) efficiency versus TIT
Fig. 5
sCO2 single cycle-based CHP (cycle A) efficiency versus TIT
Close modal

Within cycle A simulations, the isentropic efficiency of the CO2 turbine varied between 87% and 92% to identify the impact on the cycle efficiency. Figure 6 shows the results. For a difference of 5% point in the isentropic efficiency, the cycle efficiency changes by 0.1% point.

Fig. 6
sCO2 single cycle-based CHP (cycle A) efficiency versus turbine isentropic efficiency
Fig. 6
sCO2 single cycle-based CHP (cycle A) efficiency versus turbine isentropic efficiency
Close modal

3 Exergy Analysis

Modern exergetic analysis helps to identify the thermodynamic inefficiencies at a component and a system level. The real inefficiencies of a system are referred to as exergy destruction (irreversibilities within the system) and exergy losses [20].

The total exergy of a material stream consists of its physical (E˙jch) and chemical exergy (E˙jph), E˙j=E˙jph+E˙jch.

The simulation data were extracted from ebsilon and plugged into the vba code in-house Excel vba program developed at the Institute for Energy Engineering of TU Berlin. The reference environment conditions are given in Table 1. The standard molar chemical exergy of CH4 is 824,348 kJ/kmol (model I in Ref. [20]). For the exergetic analysis of the sSO2 cycle, only physical exergy is considered.

The exergy balances are written based on the approach “exergy of fuel/exergy of product” [20] as

  • for the overall system
    (3)
  • for the kth system component
    (4)

The exergetic efficiency is defined as

  • for the overall system
    (5)
  • for the kth system component
    (6)

Additionally, the exergy destruction rate can be defined to improve the system by improving the components with the highest values of exergy destruction
(7)

3.1 Exergy Results of Cycle A.

The detailed results of the exergy analysis for the components of the stand-alone sCO2 cycle are given in Table 2, and the distribution of the exergy destruction (yD,k*) among components of a sCO2 stand-alone system is shown in Fig. 7.

Fig. 7
The distribution of the exergy destruction (yD,k*) among components of a sCO2 stand-alone system
Fig. 7
The distribution of the exergy destruction (yD,k*) among components of a sCO2 stand-alone system
Close modal
Table 2

Exergy analysis results of sCO2 stand-alone system

ComponentE˙F,K (MW)E˙P,K (MW)E˙D,K (MW)εk (%)
Heater30.98029.8321.14896.3
Generator33.82933.5750.25499.3
HP turbine18.32217.2691.05394.3
LP turbine17.62216.5601.06294.0
HT recuperator37.27736.3530.92597.5
LT recuperator11.26410.0631.20189.3
Main compressor6.3045.6860.61990.2
Recompressor9.2668.5420.72492.2
Precooler5.9443.1002.84452.1
Mixer1.2211.1760.04596.3
ComponentE˙F,K (MW)E˙P,K (MW)E˙D,K (MW)εk (%)
Heater30.98029.8321.14896.3
Generator33.82933.5750.25499.3
HP turbine18.32217.2691.05394.3
LP turbine17.62216.5601.06294.0
HT recuperator37.27736.3530.92597.5
LT recuperator11.26410.0631.20189.3
Main compressor6.3045.6860.61990.2
Recompressor9.2668.5420.72492.2
Precooler5.9443.1002.84452.1
Mixer1.2211.1760.04596.3

The distribution of the exergy destruction (yD,k*) among all components of cycle A is shown in Fig. 8. The highest rate of exergy destruction occurs in the combustion chamber, representing almost 60% of the total destruction taking place within the system, which agrees with stating that the combustion irreversibility is the most significant in power plants in general. The primary heat consumer ranks second, while the expander comes third.

Fig. 8
The distribution of the exergy destruction (yD,k*) among components of cycle A
Fig. 8
The distribution of the exergy destruction (yD,k*) among components of cycle A
Close modal

Focusing on the sCO2 stand-alone system (Fig. 7), the most significant contributors to exergy destruction are the heat consumer, the low-temperature (LT) recuperator, and the high-temperature (HT) recuperator. However, these components have very low exergy destruction compared to the combustion chamber. The overall cycle A has an exergetic efficiency of 46.6%. The total exergy of fuel fed into the system is 362.5 MW, 169.1 MW of which represents the exergy of product and 29.5 MW as exergy losses for the entire system and around 164.4 MW destructed within the system components.

3.2 Exergy Results for Cycle B.

The distribution of the exergy destruction (yD,k*) among all components of cycle B is shown in Fig. 9. Similar to cycle A, the combustion chamber is the most significant contributor to total exergy destruction within the system. The two heat consumers still have the most significant exergy destruction within the sCO2 bottoming cycles. The exergetic efficiency of the overall combined cycle increased by 1.5% point compared to cycle A. Around 20% were saved from being lost to the environment in relation to cycle A, while the exergy destructed within the system increased by 8.3%.

Fig. 9
The distribution of the exergy destruction (yD,k*) among components of cycle B
Fig. 9
The distribution of the exergy destruction (yD,k*) among components of cycle B
Close modal

4 Economic Analysis

The total revenue requirement (TRR) method [20] is used here to evaluate the entire system from an economic perspective and to calculate the levelized cost of electricity (LCOE) of the whole system. For a thermal system, the cost of the final product is an essential metric that affects the selection of the system's design option. Figure 10 illustrates an overview of the whole economic analysis procedure. Economic analysis is based on a large number of assumptions, taking into account economic and technological considerations.

Fig. 10
Economic analysis flowchart
Fig. 10
Economic analysis flowchart
Close modal

The cost estimation depends on the equipment size, the range of operation, and the construction materials of each component. Since the sCO2 technology is not yet commercial, the cost estimation for the sCO2 closed cycle with a 33-MWe CO2 turbine is estimated based on the DOE Advanced Reactor Concepts program for a 10-MWe sCO2 closed system [2124]. Then, the scaling exponent is used to scale (up to 33 MWe) for all components, CP,new=CP,reference(Xnew/Xreference)α, with α = 0.66 for the recuperators and heat consumers and α = 0.99 for the turbomachinery. The costs are then adjusted for the estimated year. The estimated purchase cost of the sCO2 closed-cycle system at Sandia National Laboratories for 10 MWe is equal to $35 M [24]; this includes the components of the cycle: recuperators, heat consumer, turbomachinery, and facility support.

The purchase cost of the gas-turbine system is estimated based on Ref. [25]. As a reference case, the following information for the gas-turbine system (topping) cycle has been used: model—GT13E2; ISO base load—182 MW; efficiency—37.4%; specific price—231 $2010/kW. The share of investment cost for the components of the gas-turbine system is assumed to be 31%—compressor, 6%—combustion chamber, 55%—expander, and 8%—generator.

Total capital investment (TCI) is the sum of the fixed capital investment and other outlays, including the allowance for funds used during construction, start-up costs, and working capital. The routine to calculate the value of TCI can be found in Ref. [20]; for the combined-cycle power plant in Ref. [18], and for the sCO2 cycle in Ref. [11]. Here, only the final results are reported as: TCICycleA = 188.0 M$ and TCICycle B = 273.5 M$.

The plant's economic life is assumed to be 20 years with 8000 h/year of baseload operation; an average inflation rate is ri = 1.9% and a nominal escalation rate n = 3.0%. For calculating the levelized cost, a capital recovery factor (CRF) was calculated

(8)
where n is the number of years and ieff is the effective interest rate, assumed as ieff = 4.5% in this study.
Constant escalation levelization factor (CELF) is calculated to internalize the cost of money (ieff) and the inflation rate with the aim of levelizing the yearly project annuities over the lifetime of the plant [20]
(9)
(10)
(11)

Levelized carrying charges represent the annual obligation associated with the debt and investments made in the project, which represents the capital cost, CAPEX.

The levelized operation and maintenance costs (OMC) are calculated as follows:
(12)
The OMC at the first year of operation is assumed to be equal to 4% of fixed capital investment. The average price of natural gas is assumed 5.65 $/MMBtu according to the information provided in Ref. [26]. Finally,
(13)
and calculated as FCL = 86 M$/year.

Levelized total revenue requirement (TRRL) is defined as the sum of CCL, OMCL, and FCL (Figs. 11 and 12). The TRRL calculated for cycle A is 108 M$/year and 120 M$/year for cycle B. The uncertainty of the economic assumptions used for calculating the levelized costs should be tackled in future studies. Sensitivity studies could help reveal how strongly each economic assumption could affect the result of the economic analysis.

Fig. 11
TRRL for cycle A
Fig. 12
TRRL for cycle B

The apportioning of levelized costs to the two products (heat and electricity) of the system investigated cannot be achieved using an economic analysis. Hence, calculating separate and correct LCOE and levelized cost of heat (LCOH) values for the CHP system is only possible using exergoeconomic analysis.

5 Exergoeconomic Analysis

An exergoeconomic analysis is a combination of exergy analysis and cost analysis and provides an evaluation at the component level and provides information for lowering the product cost while increasing the exergetic efficiency. To apply an exergoeconomic analysis, it is necessary to apply the exergy analysis in combination with economic principles. This approach is called “exergy costing” [20]. It helps in finding the cost of the exergy destruction within the system and defining measures that could improve the cost-effectiveness of the overall system.

According to the exergy costing principle, the cost C˙j associated with an exergy stream (E˙j) is given by C˙j=cj×E˙j, where cj represents the specific cost associated with each exergy unit of the stream E˙j in the system being considered, while Ck is the cost of the kth component associated with the exergy E˙k. A cost balance is formulated for each system component. In general, the cost balance can be defined according to Eq. (14), while the cost of the individual component (Z˙k)
(14)
(15)

where CCL is the levelized carrying charges, OMCL is levelized operating and maintenance costs, T is annual full load hours, BMCK is the individual component bare module cost, and BMCtot is the total bare module costs.

Using the cost balances rewritten in terms of “exergy of fuel”/“exergy of product” and with the help of auxiliary equations (if required [20]), the cost rates and the cost per unit of exergy can be calculated for each exergy stream:

  • for the overall system
    (16)
  • for the kth system component
    (17)

The results of the exergoeconomic analysis, the values of Z˙k, and the cost rate associated with exergy destruction (C˙D,k=cF,kE˙D,k) for each component for the two cycles are shown in Figs. 13 and 14. For both cycles, the cost rate associated with the combustion chamber has the higher rank, while the primary heat consumer and gas turbine expander come second and third, respectively. For cycle B, the total investment (Z˙) and cost rates of exergy destruction (C˙D) increased in comparison to cycle A, except for its primary heat consumer, which decreased by 18%.

Fig. 13
The cost of individual components Z˙k and cost of exergy destruction C˙D,k for cycle A
Fig. 13
The cost of individual components Z˙k and cost of exergy destruction C˙D,k for cycle A
Close modal
Fig. 14
The cost of individual components Z˙k and cost of exergy destruction C˙D,k for cycle B
Fig. 14
The cost of individual components Z˙k and cost of exergy destruction C˙D,k for cycle B
Close modal

Based on the exergoeconomic results, it is concluded that cycle B has a higher specific cost of the product compared to cycle A (Fig. 15). Also, due to the relatively high costs invested in cycle B, the total cost of the product (levelized cost of the total exergy produced in $¢/kWh) increased by 13.3% from 8.17 to 7.21. In both cases, LCOH is very high, mainly due to the poor performance of heat consumers. However, since the power-to-heat ratio (P/H) is quite high in this design, the effect of this high cost of heat did not change the levelized total cost dramatically.

Fig. 15
Levelized cost of products for the evaluated systems
Fig. 15
Levelized cost of products for the evaluated systems
Close modal

6 Discussion and Benchmark

A benchmark (Fig.16) is conducted to compare the two systems against the most competitive CHP systems in the market [27]. All levelized costs are brought to US dollars for the reference year. The two proposed cycles show a competitive LCOE against other CHP technologies with an average LCOE equal to 6.7 $¢/kWh. Since natural gas is the fuel used in this study, a comparison between CHP systems and gas turbine combined cycles and the Allam cycle (NET power cycle) is carried out since the Allam cycle uses a direct supercritical CO2 concept [28,29].

Fig. 16
Natural gas-based power plants benchmark
Fig. 16
Natural gas-based power plants benchmark
Close modal

7 Conclusion

This article used the recompression sCO2 cycle as the modular block for the bottoming cycle since it is the most sCO2 closed configuration that has received research attention and is highly investigated in the literature. The sCO2 closed power cycle has shown in the literature a strong performance that has reached thermal efficiencies of up to 50%.

This article aimed to evaluate the possible integration of the sCO2 closed recompression cycle in a bottoming configuration of the combined-cycle power plants for cogeneration purposes. An exergoeconomic analysis was conducted, which helped identify the system components with the highest cost rates. The levelized cost of the total product generated by the system showed strong competitiveness compared to current technologies in the market.

Conflict of Interest

There are no conflicts of interest. This article does not include research in which human participants were involved. Informed consent is not applicable. This article does not include any research in which animal participants were involved.

Data Availability Statement

The authors attest that all data for this study are included in the article.

Nomenclature

c =

Specific cost ($/Jexergy)

y =

Exergy destruction ratio (%)

m˙ =

Mass flowrate (kg/s)

C˙ =

Cost rate ($/s)

E˙ =

Exergy rate (W)

Q˙ =

Heat rate (W)

W˙ =

Power (W)

Z˙ =

Investment cost rate ($/s)

LHV =

Lower heating value (kJ/kg)

Greek Symbols

 ε =

Exergetic efficiency (%)

η =

Efficiency (%)

Superscripts and Subscripts

ch =

Chemical

D =

Destruction

el =

Electrical

F =

Fuel

k =

kth component

L =

Losses

P =

Product

ph =

Physical

th =

Thermal

tot =

Overall system

References

1.
U.S. Department of Energy
,
2015
, “
Chapter 6: Innovating Clean Energy Technologies in Advanced Manufacturing
,” Quadrennial Technology Review—An Assessment of Energy Technologies and Research Opportunities, Washington, DC, pp.
183
225
. https://www.energy.gov/sites/prod/files/2017/03/f34/qtr-2015-chapter6.pdf
2.
U.S. Department of Energy
,
2020
, “
Energy Efficiency and Energy Security Benefits of District Energy
,” Combined Heat and Power Technology Fact Sheet Series, Washington, DC, p. 4, https://www.energy.gov/sites/default/files/2021/03/f83/District_Energy_Fact_Sheet.pdf
3.
Otis
,
P.
,
2015
, “CHP Industrial Bottoming and Topping Cycle With Energy Information Administration Survey Data,” www.eia.gov. Accessed July 31, 2020.
4.
Angelino
,
G.
,
1968
, “
Carbon Dioxide Condensation Cycles for Power Production
,”
ASME J. Eng. Gas Turbines Power
,
90
(
3
), pp.
287
295
.
5.
Kim
,
Y. M.
,
Kim
,
C. G.
, and
Favrat
,
D.
,
2012
, “
Transcritical or Supercritical CO2 Cycles Using Both Low- and High-Temperature Heat Sources
,”
Energy
,
43
(
1
), pp.
402
415
.
6.
Crespi
,
F.
,
Gavagnin
,
G.
,
Sánchez
,
D.
, and
Martínez
,
G. S.
,
2017
, “
Supercritical Carbon Dioxide Cycles for Power Generation: A Review
,”
Appl. Energy
,
195
, pp.
152
183
.
7.
Noaman
,
M.
,
Awad
,
O.
,
Morosuk
,
T.
,
Tsatsaronis
,
G.
, and
Salomo
,
S.
,
2022
, “
Identifying the Market Scenarios for Supercritical CO2 Power Cycles
,”
ASME J. Energy Resour. Technol.
,
144
(
5
), p.
050906
.
8.
Cho
,
S. K.
,
Kim
,
M.
,
Baik
,
S.
,
Ahn
,
Y.
, and
Lee
,
J. I.
,
2015
, “
Investigation of the Bottoming Cycle for High Efficiency Combined Cycle Gas Turbine System With Supercritical Carbon Dioxide Power Cycle
,”
Proceedings of the ASME Turbo Expo Volume 9: Oil and Gas Applications; Supercritical CO2 Power Cycles; Wind Energy
,
Montreal, Quebec, Canada
,
June 15–19
,
American Society of Mechanical Engineers
, p. V009T36A011.
9.
Wang
,
X.
, and
Dai
,
Y.
,
2016
, “
Exergoeconomic Analysis of Utilizing the Transcritical CO2 Cycle and the ORC for a Recompression Supercritical CO2 Cycle Waste Heat Recovery: A Comparative Study
,”
Appl. Energy
,
170
, pp.
193
207
.
10.
Nami
,
H.
,
Mahmoudi
,
S. M. S.
, and
Nemati
,
A.
,
2017
, “
Exergy, Economic and Environmental Impact Assessment and Optimization of a Novel Cogeneration System Including a Gas Turbine, a Supercritical CO2 and an Organic Rankine Cycle (GT-HRSG/SCO2)
,”
Appl. Therm. Eng.
,
110
, pp.
1315
1330
.
11.
Noaman
,
M.
,
Saade
,
G.
,
Morosuk
,
T.
, and
Tsatsaronis
,
G.
,
2019
, “
Exergoeconomic Analysis Applied to Supercritical CO2 Power Systems
,”
Energy
,
183
, pp.
756
765
.
12.
Bui
,
T.
,
Lee
,
Y. D.
,
Kim
,
Y. S.
,
Kang
,
D. W.
,
Ahn
,
K. Y.
,
Lee
,
S.
,
Chang
,
S. H.
, and
Kim
,
M. K.
,
2024
, “
Performance Analysis of High-Efficiency Supercritical CO2 Power Cycles Using Recompression
,”
ASME J. Energy Resour. Technol.
,
146
(
4
), p.
041701
.
13.
You
,
D.
, and
Metghalchi
,
H.
,
2021
, “
On the Supercritical Carbon Dioxide Recompression Cycle
,”
ASME J. Energy Resour. Technol.
,
143
(
12
), p.
121701
.
14.
Fang
,
L.
,
Li
,
Y.
,
Yang
,
X.
, and
Yang
,
Z.
,
2020
, “
Analyses of Thermal Performance of Solar Power Tower Station Based on a Supercritical CO2 Brayton Cycle
,”
ASME J. Energy Resour. Technol.
,
142
(
3
), p.
031301
.
15.
STEAG
, “Ebsilon Professional,”
2018
, http://www.steag-systemtechnologies.com/ebsilon_professional+M52087573ab0.html. Accessed July 31, 2020
16.
Lemmon
,
E.
,
Huber
,
M.
, and
Data
,
M. M.-S. R.
,
2007
, “NIST Standard Reference Database 23: Reference Fluid Thermodynamic and Transport Properties-REFPROP, Version 8.0,” National Institute of Standards. https://pages.nist.gov/REFPROP-docs/. Accessed July 31, 2020.
17.
Zhao
,
Q.
,
Mecheri
,
M.
,
Neveux
,
T.
,
Privat
,
R.
, and
Jaubert
,
J. N.
,
2017
, “
Selection of a Proper Equation of State for the Modeling of a Supercritical CO2 Brayton Cycle: Consequences on the Process Design
,”
Ind. Eng. Chem. Res.
,
56
(
23
), pp.
6841
6853
.
18.
Blumberg
,
T.
,
Assar
,
M.
,
Morosuk
,
T.
, and
Tsatsaronis
,
G.
,
2017
, “
Comparative Exergoeconomic Evaluation of the Latest Generation of Combined-Cycle Power Plants
,”
Energy Convers. Manage.
,
153
, pp.
616
626
.
19.
Santos
,
D.
,
and C
,
A. P. P.
, and
De Andrade
,
R.
,
2012
, “
Thermodynamic Analysis of Gas Turbine Performance With Different Inlet Air Cooling Techniques
,”
Proceedings of the ASME Turbo Expo 2012: Turbine Technical Conference and Exposition. Volume 3: Cycle Innovations; Education; Electric Power; Fans and Blowers Industrial and Cogeneration
,
Copenhagen, Denmark
,
June 11–15
,
American Society of Mechanical Engineers Digital Collection
, pp.
79
89
.
20.
Bejan
,
A.
,
Tsatsaronis
,
G.
, and
Moran
,
M. J.
,
1996
,
Thermal Design and Optimization
,
Wiley
,
Hoboken, NJ
.
21.
White
,
C.
,
Gray
,
D.
,
Plunkett
,
J.
,
Shelton
,
W.
,
Weiland
,
N.
, and
Shultz
,
T.
,
2017
, “Techno-economic Evaluation of Utility-Scale Power Plants Based on the Indirect sCO2 Brayton Cycle,” https://www.osti.gov/biblio/1490272, Accessed August 2, 2020.
22.
Weiland
,
N. T.
,
Lance
,
B. W.
, and
Pidaparti
,
S. R.
,
2019
, “
SCO2 Power Cycle Component Cost Correlations From DOE Data Spanning Multiple Scales and Applications
,”
Proceedings of the ASME Turbo Expo 2019: Turbomachinery Technical Conference and Exposition. Volume 9: Oil and Gas Applications; Supercritical CO2 Power Cycles; Wind Energy
,
Phoenix, AZ
,
June 17–21
, ASME, p. V009T38A008.
23.
Ho
,
C. K.
,
Carlson
,
M.
,
Garg
,
P.
, and
Kumar
,
P.
,
2016
, “
Technoeconomic Analysis of Alternative Solarized s-CO2 Brayton Cycle Configurations
,”
ASME J. Sol. Energy Eng.
,
138
(
5
), p.
051008
.
24.
Fleming
,
D.
,
Holschuh
,
T.
,
Conboy
,
T.
,
Rochau
,
G.
, and
Fuller
,
R.
,
2012
, “
Scaling Considerations for a Multi-Megawatt Class Supercritical CO2 Brayton Cycle and Path Forward for Commercialization
,”
Proceedings of the ASME Turbo Expo 2012: Turbine Technical Conference and Exposition. Volume 5: Manufacturing Materials and Metallurgy; Marine; Microturbines and Small Turbomachinery; Supercritical CO2 Power Cycles
,
Copenhagen, Denmark
,
June 11–15
,
American Society of Mechanical Engineers Digital Collection
, pp.
953
960
.
25.
Gas Turbine World
,
2010
,
2010 Gas Turbine World Handbook
, Vol.
28
,
Pequot Publishing
,
Essex, CT
.
26.
COMSTAT Data Hub
,
2020
, “Natural Gas Price Forecast: 2020, 2021 and Long Term to 2030,” https://comstat.comesa.int/ncszerf/natural-gas-price-forecast-2020-2021-and-long-term-to-2030. Accessed August 2, 2020.
27.
Joint Research Centre: Institute for Energy and Transport
,
Weidner
,
E.
,
Jakubcionis
,
M.
,
Vallei
,
M.
, and
Sigfusson
,
B.
,
2014
, “Energy Technology Reference Indicator (ETRI) Projections for 2010–2050,” Publications Office. https://data.europa.eu/doi/10.2790/057687.
28.
IEA
,
2015
, “Oxy-Combustion Turbine Power Plants,” www.ieaghg.org.
29.
Zhu
,
Q.
,
2017
, “Power Generation from Coal Using Supercritical CO2 Cycle,” www.iea-coal.org.