1 IMPROVEMENT OF DOUBLE-FLASH GEOTHERMAL POWER PLANT DESIGN: A COMPARISON OF SIX INTERSTAGE HEATING PROCESSES Joachim-André Raymond Sarr, François Mathieu-Potvin * (bold font weight for family names) Department of mechanical engineering, 1065, Avenue de la Médecine, Université Laval, Quebec City, Quebec, Canada, G1V 0A6 Abstract In this paper, six different modifications of the Double-Flash power plants are proposed. These modifications are named “interstage heating” and consist of additional heat exchangers properly located in the system. The six interstage heating designs are analysed, optimized and then compared to an optimized Double-Flash reference power plant. The objective function is the power plant specific output (kJ/kg), and the design variables are the separator temperatures (°C) and the split fraction. Optimizations are performed for a wide range of reservoir temperatures (i.e., from 140 °C to 240 °C). Results show that interstage heating processes may increase the specific output of the plant by about 5%, decrease the liquid content in the low pressure turbine by about 50%, and decrease the required cooling capacity of the plant by about 10%. On the other hand, the analysis showed that the new designs proposed have negligible influence on the high pressure turbine liquid content or on the silica saturation coefficient. Keywords: Double-Flash, Geothermal power, Interstage heating, Superheating, Heat exchanger. * Corresponding author : François Mathieu-Potvin, ing. jr, Ph.D. Professor Department of mechanical engineering 1065, Avenue de la Médecine, Université Laval, Quebec City, Province of Quebec, Canada, G1V0A6 Tel.: 1-418-656-2131 x 5409 Fax.: 1-418-656-7415 Email: [email protected]
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IMPROVEMENT OF DOUBLE-FLASH GEOTHERMAL POWER PLANT DESIGN:
A COMPARISON OF SIX INTERSTAGE HEATING PROCESSES
Joachim-André Raymond Sarr, François Mathieu-Potvin*
(bold font weight for family names)
Department of mechanical engineering, 1065, Avenue de la Médecine, Université Laval,
Quebec City, Quebec, Canada, G1V 0A6
Abstract
In this paper, six different modifications of the Double-Flash power plants are proposed. These
modifications are named “interstage heating” and consist of additional heat exchangers properly
located in the system. The six interstage heating designs are analysed, optimized and then compared
to an optimized Double-Flash reference power plant. The objective function is the power plant
specific output (kJ/kg), and the design variables are the separator temperatures (°C) and the split
fraction. Optimizations are performed for a wide range of reservoir temperatures (i.e., from 140 °C
to 240 °C). Results show that interstage heating processes may increase the specific output of the
plant by about 5%, decrease the liquid content in the low pressure turbine by about 50%, and
decrease the required cooling capacity of the plant by about 10%. On the other hand, the analysis
showed that the new designs proposed have negligible influence on the high pressure turbine liquid
* Corresponding author : François Mathieu-Potvin, ing. jr, Ph.D. Professor Department of mechanical engineering 1065, Avenue de la Médecine, Université Laval, Quebec City, Province of Quebec, Canada, G1V0A6 Tel.: 1-418-656-2131 x 5409 Fax.: 1-418-656-7415 Email: [email protected]
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Nomenclature
Variables
ih enthalpy at state i , 1kJ kg−
Rm� mass flow rate from the geothermal reservoir, 1kg s−
iP absolute pressure at state i , kPa
Q� heat transfer rate in heat exchanger, kW
maxQ� maximum heat transfer rate in heat exchanger, kW
outQ� geothermal plant waste heat, kW
liq,maxQ� maximum heat transfer rate based on the liquid side, kW
vap,maxQ� maximum heat transfer rate based on the vapour side, kW
iS silica concentration (amorphous form) at state i , ppm
eqS silica concentration at equilibrium (amorphous form), ppm
qS silica concentration (quartz form) in reservoir, ppm
is entropy at state i , 1 1kJ kg K− −
iT temperature at state i ,°C
RT reservoir temperature, °C
S1T first separator temperature,°C
S2T second separator temperature,°C
outnetW� geothermal plant power output, kW
w geothermal power plant specific output, 1kJ kg−
ix vapour content at state i
y split coefficient
{.} bracket for identifying a thermodynamic state
Greek symbols
,sα α ideal and actual superheated states leaving heat exchanger
,sδ δ ideal and actual compressed liquid states leaving heat exchanger
ε heat exchanger efficiency
3
λ moisture content
0η turbine dry efficiency
Subscripts
atm atmospheric
f, g saturated liquid and saturated vapour states
fg evaporation (change from liquid to vapour)
i thermodynamic state i
max maximized value
opt optimized value
Abbreviations
CD condenser
DF Double-Flash cycle
HX heat exchanger
LC liquid-cooling design
LS liquid-splitting design
MH mixture-heating design
PP1 pump
PP2’ conditionnal pump
RH reheating design
SH superheating design
SP1 first separator
SP2 second separator
TB1 first turbine
TB2 second turbine
VA1 first valve
VA2 second valve
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1. Introduction
Geothermal power plants of the Flash category (i.e., Single, Double or Triple-Flash) produce ~63%
of the electricity generated from geothermal resources around the world, the remaining percentage
being mainly generated by Dry Steam and Binary geothermal power plants (DiPippo, 2012). A
specific characteristic of Flash power plants is that steam is at a saturated vapour state when
entering turbines, contrarily to fossil fuel power plants in which steam may be superheated up to
temperatures imposed by turbine blade material limits (Nag, 2008). That feature (i.e., saturated
steam at the entrance of turbines) induces several difficulties in Flash power plants. For instance,
low temperature (i.e., low enthalpy) steam yields relatively small turbines power output;
furthermore, water droplets may appear during steam expansion, which reduces the turbine overall
efficiency (e.g., Leyzerovich, 2005) and increases the blade erosion rate (e.g., Ahmad et al., 2009).
A trivial solution to the problems mentioned above is to superheat the steam with a
complementary fossil fuel boiler systems (i.e., hybrid power plants (Bidini et al., 1998)). However,
when low CO2 emissions are expected, that solution is not acceptable. Conversely, a novel
alternative (that does not involve fossil fuel combustion) was proposed by DiPippo and Vrane
(1991), and consists of superheating steam by means of a heat exchanger adequately located in a
Double-Flash power plant. That process was called “interstage reheat”, and was later re-examined
by DiPippo (2013). More recently, Mathieu-Potvin (2013) proposed a design named “self-
superheating” that also uses a heat exchanger in Single-Flash and Double-Flash designs, and which
allows steam at the entrance of turbines to be superheated.
In view of the potential advantages provided by the designs proposed by Mathieu-Potvin
(2013) and DiPippo (2013), six different architectures that could improve Double-Flash power
plants are proposed in this paper. These strategies are labelled here as “interstage heating”
processes, and are thoroughly analysed and compared.
The main goal of the work presented here is to improve the Double-Flash power plant
design. More specifically, the objectives are: (i) to develop mathematical and numerical models for
six different interstage heating designs, (ii) to optimize these designs, and (iii) to compare the
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performances of these six optimized designs with a typical Double-Flash design. The objective
function is the specific output (kJ/kg), and the design variables are the separator temperatures (°C)
and the split fraction. The other parameters investigated in the text are the liquid content in turbines,
the waste heat to power output ratio, and the silica saturation coefficient.
The paper is organized as follows: first, the design of a standard Double-Flash cycle is
described, and its weakness are highlighted (Section 2); second, six interstage heating designs are
proposed and described (Sections 3, 4 and 5); third, the six interstage heating designs are optimized
and compared to the optimized Double-Flash reference design (Sections 6, 7 and 8). Then, final
discussions and conclusions are provided (Sections 9 and 10).
2. Problem statement
A brief description of the Double-Flash power plant considered in this paper and of its
corresponding optimization problem is provided in this section. This specific thermodynamic cycle
is considered as the reference design, and various methods will be proposed in Sections 3 and 4 in
order to improve its performance.
2.1. Double-Flash reference design
A classic design for Double-Flash (DF) systems is illustrated in Fig. 1a, and its corresponding
temperature-entropy ( )T s− diagram is illustrated in Fig. 1b. The working fluid in DF cycles
typically comes from deep natural geothermal reservoirs where geological conditions are
favourable for producing hot and pressurized water (state {1} in Fig. 1). Notice that although a
fluid coming from deep underground geothermal systems typically contains dissolved gases (such
as H2S (Thorsteinsson et al., 2013)), silica (Sugita et al., 2003) and calcite (Hébert et al., 2010), it
is assumed in this paper that its properties may be approximated as equal to those of pure water,
which is in line with recent literature (e.g., Jalilinasrabady et al., 2012; Pambudi et al., 2014).
Moreover, it can be seen in Fig. 1b that the thermodynamic state of the fluid in the reservoir (state
{1}) is located at the left side of the saturated line. Indeed, reservoirs considered in this paper are
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assumed to contain water as compressed liquid; reservoirs which contain water as a saturated
mixture or superheated steam could be included in further studies.
The geofluid begins its path in the reservoir (see state {1} in Fig. 1a) and flows in a well so
as to reach the well-head. Once it has attained the power plant, the geofluid enters valves (VA1
and VA2) and separators (SP1 and SP2) in which liquid and steam phases are divided. The steam
then expands in turbines (TB1 and TB2) so as to produce work, and heat is rejected to the
environment by means of a condenser (CD). A pump (PP1) is used to raise the pressure of the fluid
before it is evacuated. Moreover, for designs in which the pressure at state {7} is smaller than
atmospheric pressure, a “conditional” pump (PP2’) is installed in order to raise the pressure of the
liquid up to the atmospheric pressure (i.e., to state {7’}), which prevents any backflow of the
geofluid in the separator. Notice that the apostrophe symbol is used to identify conditional
equipment (e.g, PP2’) and conditional thermodynamic states (e.g., state {7’}). The Double-Flash
cycle considered in this paper involves a specific configuration of the turbines; for instance, steam
at state {8} and at state {5} are mixed (which brings the fluid to state {9}) before entering the
second turbine (TB2).
The two-turbines assembly illustrated in Fig. 1a is thermodynamically equivalent to a dual-
admission/single-flow turbine in which the low pressure steam (state {8}) would merge directly
with the partially expanded steam (state {5}) (e.g., Fig. 6.6 in DiPippo (2012)). However, the
configuration studied in this paper (Fig. 1) is chosen because it allows various interstage heating
strategies (by inserting interstage heat exchangers) which would not be possible with a unique dual-
admission turbine.
It should also be noted that other Double-Flash power plant architectures exist. For
examples, turbine TB1 (present in Fig. 1) could reject steam directly into the condenser (instead of
mixing state {5} with state {8}), and a fraction of the steam flow could be redirected toward
ejector/condenser apparatus (see Fig. 5 in Zarrouk and Moon (2014)). These variations would
change the thermodynamic cycle that represents the power plant. However, the design presented
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in Fig. 1 contains the most important equipment in Double-Flash cycles and will be used as a
benchmark for evaluating the performance gains brought by the new interstage heating processes.
Finally, a detailed thermodynamic analysis is required to calculate the performance of the
Double-Flash design. That development is not included in this section, but is instead consigned to
Appendix A to lighten the text.
2.2. Parameters of interest
In this paper, four parameters of interest have been chosen for comparing the designs proposed :
(i) the specific output w , (ii) the liquid content λ , (iii) the silica saturation coefficient eqS S , and
(iv) the waste heat to power output ratio netout outQ W� � . These parameters are valid for the Double-
Flash design presented in Section 2.1, but also for other designs presented later in the text.
2.2.1. Specific power output
The specific power output (or more concisely, the “specific output”) expresses the amount of net
mechanical energy (kJ) produced by a power plant for each quantity (kg) of geofluid that is
extracted from a geothermal reservoir. This figure of merit may typically be written as
out
net
R
net power output
reservoir mass flowrate
Ww
m= =�
� (1)
Investigation of power plants based on the specific output has been performed, for example, in
(Vetter et al., 2013). Notice that the calculation of w for the DF cycle presented in Section 2.1 is
detailed in Appendix A.
2.2.2. Liquid content at turbines outlet
When steam expands in turbines, water droplets appear, which cause a decrease of turbine
efficiencies (e.g., Leyzerovich, 2005) and premature turbine blade erosion (e.g., Ahmad et al.,
2009). As recalled in DiPippo (2013), this problem is more frequent in geothermal or nuclear power
plants because the steam entering turbines is typically saturated (i.e., not superheated). In this
paper, the significance of this phenomenon is measured by the value of the liquid content λ at the
8
turbine outlets, in line with Mathieu-Potvin (2013). Referring to Fig. 1, the liquid content at the
outlet of turbine TB1 (i.e., 5λ ) and of turbine TB2 (i.e., 10λ ) may be written,
( )S2 S25 5 g@ 5 fg@1
T Tx h h hλ = − = − (2)
and
( )CD CD10 10 g@ 10 fg@1
T Tx h h hλ = − = − (3)
where x is the quality of the saturated mixture. Notice that all designs presented in this paper are
defined in a consistent manner, so that Eqs. (2) and (3) are always valid.
2.2.3. Silica saturation coefficient
It was mentioned in Section 2.1 that geofluids coming from geothermal reservoirs typically contain
silica. Indeed, when the geofluid experiences changes of temperature, silica dissolved in water may
solidify and obstruct equipment of the geothermal power plant. The tendency of silica to undergo
solidification can be quantified by a dimensionless number called the "silica saturation coefficient".
Silica saturation coefficient was taken into account in recent work (Clarke and McLeskey Jr., 2014;
DiPippo, 2013).
The silica saturation coefficient may be calculated as follow. First, the silica concentration
qS in the fluid of the geothermal reservoir is considered as being equal to the equilibrium
concentration of the quartz form (Eq. (6.25) in DiPippo (2012)) taken at the reservoir temperature,
and can be expressed as
( ) ( )
( ) ( )
2R R
4 3 7 4R
q
R
41.598 0.23932 0.011172
1.1713 10 1.9708 10
T T
T T
S
− −
=
+ −
+ × − × (4)
where RT is the reservoir temperature (°C). Then, since the silica remains only in the liquid phase
of the fluid, its concentration ( )7S at the outlet of the second separator (state {7}) may be expressed
as
9
q7
2 6(1 )(1 )
SS
x x=
− − (5)
where i
x represents the vapour content of the fluid at state i . The tendency of silica to solidify at
the outlet of the second separator may be determined by comparing 7S to the equilibrium
concentration eqS of the amorphous form calculated at S2T . As mentioned in Eq. (2.3) of DiPippo
(2012), the value of eqS may be calculated as
2 5 2 9 3
S2 S2 S2( 1.34959 1.625 10 1.758 10 5.257 10 )eq 10 T T T
S− − −− + × − × + ×= (6)
Finally, the silica saturation coefficient may be determined by the expression 7 eqS S . More
specifically, when 7 eqS S is smaller than 1, no solidification should occur; when 7 eqS S is larger
than 1, solidification may occur. Hence, in this paper, the objective regarding the silica
concentration is to reduce the value of 7 eqS S .
2.2.4. Waste heat to power output ratio
For a given net power output netoutW� , geothermal power plants must have cooling towers
approximately 8 times larger in cooling capacity outQ� than that of other types of power plants (e.g.,
coal-fired, nuclear, or combined steam and gas), see p. 96 in DiPippo (2012). In other words, the
cooling system is many times more costly for geothermal power plants than for other types of
power plants (for a given value of netoutW� ) . Reducing the waste heat to power output ratio net
out outQ W� �
could provide a reduction of the cooling system initial cost; hence, the ratio netout outQ W� � of the
designs presented in this paper will be compared. To the authors’ knowledge, exhausive analysis
of geothermal power plant based on waste heat to power output ratio has not yet been performed
in literature. Finally, notice that the developed expression of netout outQ W� � for the Double-Flash design
is given in Appendix A.
2.3. Optimization problem statement for Double-Flash design
To assess the best performance of the Double-Flash reference design for a given set of external
conditions (reservoir temperature, etc.), its operation parameters have to be optimized. The main
figure of merit (objective function) in this paper was chosen to be the specific output w . This choice
10
of objective function is justified by the fact that each additional kJ produced results in additional
income for the power plant operator, which is certainly one of the most important factor to ensure
economic sustainability of the power plant. Nonetheless, other parameters which take into account
available energy in the geofluid (such as exergy and utilization efficiency (DiPippo, 2015)) could
also be used as an objective function in future work about interstage heating.
The operation parameters (design variables) are the separator temperatures S1T and S2T , in
line with previous Double-Flash design analyses. This choice is justified because thermofluid
equipment (turbines, pumps, pipes, valves, separators, etc.) may be chosen and/or sized so as to
obtain desired separator temperatures. It should be noted that separator temperature values are
limited by the reservoir temperature (upper bound), by the condenser temperature (lower bound)
and by themselves (no overlap of S1T and S2T values). The values of other variables (such as
turbines dry efficiency 0η , reservoir temperature RT and condenser temperature CDT ) are
considered as fixed for a given optimization. To summarize, the optimization problem for the
Double-Flash reference design may be stated as
Problem statement:
( )
( )
[ ]
[ ]
( )
S1 S2
S1 S2 R
S2 CD S1
R R CD 0
maximize
by optimizing ,
,respecting
,
given , , ,
w
T T
T T T
T T T
T P T η
∈ ∈
(7)
The values of other parameters of interest described in Section 2 (i.e., the liquid content λ , the
silica saturation coefficient 7 eqS S , and the waste heat to power output ratio netout outQ W� � ) are used
for comparison once the optimizations have been performed.
2.4. Proposal of improvements for Double-Flash design
Unlike power plants driven by fossil fuel (oil, coal-fired, or natural gas) in which water can be
superheated as desired, geothermal Flash power plants generate steam by means of separators,
which can only yield saturated steam. As explained earlier, saturated steam leads to water droplet
11
appearance in turbines, and the low enthalpy of that steam at the entrance of the turbines yields low
power output.
In this paper, six designs are proposed to improve that situation. These designs consist of
adding a heat exchanger in the reference Double-Flash power plant. The idea is to superheat the
steam entering the second turbine (TB2) by using a fraction of the heat already present in the liquid
leaving the first separator (SP1). Following a previous work of DiPippo and Vrane (1991) in which
a specific design using that idea was named “interstage reheat”, the family of improved designs
presented in this paper is referred to as “interstage heating” processes. These processes are further
divided into two categories: (i) Liquid-Cooling designs, and (ii) Liquid-Splitting designs. By using
these designs, it is expected that the value of w will be increased, while the values of λ , netout outQ W� �
and 7 eqS S will be decreased.
Notice that the six interstage designs investigated in this paper are directly inspired from
the work recently performed by Mathieu-Potvin (2013), by DiPippo (2013) and also by DiPippo
and Vrane (1991). For the record, ideas presented in Mathieu-Potvin (2013) came to the author
after an extensive research of the patent filed by Weir brothers (Weir and Weir, 1876) who invented
regenerative feed-water heating processes in Rankine cycles, and also after reading two texts about
their subsequent industrial activities (Reader et al., 1971; Weir, 2008). On the other hand, ideas
presented by DiPippo (2013) and by DiPippo and Vrane (1991) came to these authors after a careful
analysis of reheating strategies used in nuclear power plants, which have similar saturated steam
conditions at turbine inlets to those present in geothermal power plants.
3. Liquid-Cooling (LC) strategies
In this Section, it is proposed to improve the performance (i.e., increasing the specific output w)
of Double-Flash thermodynamic cycles by adding a heat exchanger in the power plant. Notice that
the common feature of the three modified cycles proposed in this section (Section 3) is that the
heating process is performed by cooling the entire mass flow rate of liquid leaving the first
separator, which explains the name chosen for this category (i.e., Liquid-Cooling (LC)).
This appendix describes how the total specific power output and other properties of the Double-
Flash cycle with Mixture-Heating and Liquid-Splitting system (see Fig. 3e) can be obtained using
thermodynamic data. The known parameters are typically the reservoir temperature RT , the
separator temperatures S1T and S2T , the condenser temperature CDT , the splitting coefficient y and
the turbine dry efficiency 0η . Notice that states {1} to {5}, {7}, {7’} and {8} can be calculated as
in Appendix A (Double-Flash), and that states {αs} and {δs} can be calculated as in Appendix B
(DF/LC/SH).
From state {3}, a fraction ( )1 y− of the fluid is drained and undergoes temperature drop in a heat
exchanger. Furthermore, the fraction y of fluid from state {3} (i.e., the fraction that was not
drained) undergoes expansion in a valve,
State {6}: S2
S2
Steam tables6 f @6 3
66 S2 fg@
T T
T T
h hh hx
T T h
=
=
−= → =
= (G.1)
Fluids from states {5} and {8} are mixed to give state {9}. Using the energy conservation principle,
we can determine 9h :
State {9}: 6 2 8 2 59
6 2 2
(1 )
(1 )
yx x h x hh
yx x x
− +=
− + (G.2)
and this mixture (state {9}) is then sent to the heat exchanger HX.
The maximum heat transfer maxQ� that could occur within the heat exchanger can now be
determined. On the liquid side, the expression for liq,maxQ� is
Liquid side: liq,max R 2 3 δs R liq,max(1 )(1 )( )Q m y x h h m q= − − − ≡� � � � (G.3)
and on the vapour side, the expression for vap,maxQ� is
Vapour side: vap,max R 2 6 2 αs 9 R vap,max[ (1 )]( )Q m x yx x h h m q= + − − ≡� � � � (G.4)
The value of maxQ� can be determined by selecting the minimal value between liq,maxq� and vap,maxq� ,
i.e, max vap,max liq,maxmin[ , ]q q q=� � � and maxQ� can then be expressed as
46
max R maxQ m q=� � � (G.5)
Using the definition of the heat exchanger efficiency provides the expression
max R 2 6 2 α 9 R maxmax
[ (1 )]( )Q
Q Q m x yx x h h m qQ
ε ε ε= → = → + − − =�
� � � � ��
(G.6)
The variable α
h can be isolated because it is the only unknown, and the entropy α
s can then be
obtained from steam tables,
State {α}: max Steam tables
α 92 6 2 α
α S2
[ (1 )]
qh h
x yx x s
P P
ε = +
+ − →=
�
(G.7)
Using the energy conservation principle, the heat transfer from the hot liquid is equal to the heat
transfer to the cold steam, i.e.,
R 2 3 δ R 2 6 2 α 9(1 )(1 )( ) [ (1 )]( )m y x h h m x yx x h h− − − = + − −� � (G.8)
Isolating the value of hδ yields
State {δ}: 2 6 2δ 3 α 9
2
(1 )( )
(1 )(1 )
x yx xh h h h
y x
+ −= − −
− − (G.9)
Finally, states {10} to {12} can be calculated as shown in Appendix A (Double-Flash), and the
specific output of the geothermal power plant is
2 4 5 6 2 2 α 10R
6 2 2 12 11
( ) [ (1 ) ]( )
[ (1 ) ]( )
Ww x h h yx x x h h
m
yx x x h h
= = − + − + −
− − + −
�
� (G.10)
For the specific case when the pressure at state {7} is smaller than atmospheric pressure, Eq. (G.10)
is no longer valid. In other words, the conditional pump PP2' (see Fig. 3e) must be taken into
account, and the corresponding specific output is
2 4 5 6 2 2 α 10R
6 2 2 12 11 2 6 7 7
( ) [ (1 ) ]( )
[ (1 ) ]( ) (1 )(1 )( )
Ww x h h yx x x h h
m
yx x x h h y x x h h′
= = − + − + −
− − + − − − − −
�
� (G.11)
47
Finally, the waste-heat to power-output ratio is:
out 2 6 2 10 11net
out
[ (1 )](h h )Q x yx x
W w
+ − −=
�
� (G.12)
References
Ahmad, M., Casey, M., Sürken, N., 2009. Experimental assessment of droplet impact erosion resistance of steam turbine blade materials. Wear 267(9−10),1605−1618.
Bidini, G., Desideri, U., Di Maria, F., Baldacci, A., Papale, R., Sabatelli, F., 1998. Optimization of an integrated gas turbine–geothermal power plant. Energy Conversion and Management 39(16−18), 1945−1956.
Clarke, J., McLeskey Jr., J.T., 2014. The constrained design space of double-flash geothermal power plants. Geothermics 51, 31−37.
DiPippo, R., 2013. Geothermal double-flash plant with interstage reheating: An updated and expanded thermal and exergetic analysis and optimization. Geothermics 48, 121−131.
DiPippo, R., 2012. Geothermal Power Plants, Third Edition: Principles, Applications, Case Studies and Environmental Impact. Butterworth-Heinemann, Boston.
DiPippo, R., 2015. Geothermal power plants: Evolution and performance assessments. Geothermics 53, 291−307.
DiPippo, R., Vrane, D.R., 1991. A Double-Flash Plant with Interstage Reheat: Thermodynamic Analysis and Optimization. Geothermal Resources Council Transactions 15, 381−386.
Hébert, R.L., LeDésert, B., Bartier, D., Dezayes, C., Genter, A., Grall, C., 2010. The Enhanced Geothermal System of Soultz-sous-Forêts: A study of the relationships between fracture zones and calcite content. Journal of Volcanology and Geothermal Research 196(1–2), 126−133.
Holmgren, M., 2006. XSteam toolbox (IAPWS IF-97 Steam Table). Matlab script (.m), downloaded in 2014 at http://www.mathworks.com/matlabcentral/fileexchange/9817-x-steam--thermodynamic-properties-of-water-and-steam/content/XSteam.m
Jalilinasrabady, S., Itoi, R., Valdimarsson, P., Saevarsdottir, G., Fujii, H., 2012. Flash cycle optimization of Sabalan geothermal power plant employing exergy concept. Geothermics 43, 75−82.
Leyzerovich, A.S., 2005. Wet-Steam Turbines for Nuclear Power Plants. PennWell Corporation, Tulsa (Oklahoma).
48
Mathieu-Potvin, F., 2012. Process and system for Geothermal Power Generation. United States Patent and Trademark Office. Provisional patent 61/616465.
Mathieu-Potvin, F., 2013. Self-Superheating: A new paradigm for geothermal power plant design. Geothermics 48, 16−30.
MATLAB, 2010. The Mathworks Inc.
Matlab Optimization toolbox, 2010. The Mathworks Inc.
Nag, P.K., 2008. Power Plant Engineering, 3rd Edition. Tata McGraw Hill, New Delhi.
National Weather Service, 2014. http://www.nws.noaa.gov/climate/
Pambudi, N.A., Itoi, R., Jalilinasrabady, S., Jaelani, K., 2014. Exergy analysis and optimization of Dieng single-flash geothermal power plant. Energy Conversion and Management 78, 405−411.
Reader, W.J., 1971. The Weir Group : a centenary history. Weidenfeld and Nicolson, London.
Sugita, H., Matsunaga, I., Yamaguchi, T., Kato, K., Ueda, A., 2003. Silica removal performance of seed from geothermal fluids. Geothermics 32(2), 171−185.
Thorsteinsson, T., Hackenbruch, J., Sveinbjörnsson, E., Jóhannsson, T., 2013. Statistical assessment and modeling of the effects of weather conditions on H2S plume dispersal from Icelandic geothermal power plants. Geothermics 45, 31−40.
Vetter, C., Wiemer, H.-J., Kuhn, D., 2013. Comparison of sub- and supercritical Organic Rankine Cycles for power generation from low-temperature/low-enthalpy geothermal wells, considering specific net power output and efficiency. Applied Thermal Engineering 51(1–2), 871−879.
Weir, W., 2008. The Weir Group : the history of a Scottish engineering legend, 1872-2008. Profile Books Ltd, London.
Wildi-Tremblay, P., Gosselin, L., 2007. Minimizing shell-and-tube heat exchanger cost with genetic algorithms and considering maintenance. International Journal of Energy Research 31(9), 867−885.
Zarrouk, S.J., Moon, H., 2014. Efficiency of geothermal power plants: A worldwide review. Geothermics 51, 142−153.