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Finding susceptible areas for a 50 MW solar thermal power plant using 4E analysis and multiobjective optimization

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Abstract

In the present study, a power plant design was first carried out using thermo flow software. Energy, exergy, economic, environmental, and economic (4E) analyses were carried out to supply 50 MW solar power. Using solar energy throughout the year, the amount of reducing atmospheric pollutants, reducing the consumption of fossil fuels, reducing the cost of electricity production, the amount of energy produced and exergy, the amount of exergy destruction, the rate of application and efficiency of the power plant have been obtained. Finally, the proposed cycle is optimized multi-objectively, using genetic algorithm in MATLAB. The results show that the use of solar power plants significantly reduces atmospheric pollutants by 1,559,990.6 tons per year, reducing fossil fuel consumption by 47,143.9 tons per year, and significantly reducing energy consumption despite the low cost of energy carriers in Iran. Also, according to the results, the central regions of Iran are much more suitable for the construction of the power plant, which can generate annual sales of 37,356,480$ per year. The use of solar energy increases the relative cost of the project to significantly reduce the amount of fuel consumed, which ultimately includes a faster return on investment. Finally, it can be argued that the use of the solar thermal power plant is justified from energy, exergy, economic, and environmental. It should be noted that the increase of \(\eta_{{\text{isen,ST}}}\) will require an increase in initial investment to use higher technologies in the turbine, so increasing the level of equipment technology to increase efficiency to 88% is reasonable and will not be more than that.

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Abbreviations

A :

Aria (m2)

B :

Boiler

C :

Condenser

CLFR:

Compact linear fresnel reflector

CRF:

Capital recovery factor (%)

\(\Delta T\) :

Temperature difference (°C)

CT:

Cooling tower

CWP:

Cooling water pump

DE:

Deaerator

DP:

Drip pump

e :

Specific energy (kJ kg−1)

E :

Total energy (kJ)

EC:

Economizer

EV:

Evaporator

EX:

Flow exergy

\(f\) :

Dilution factor

g :

The gravity of earth (m s−2)

h :

Specific enthalpy (kJ kg−1)

HPT:

High-pressure turbine

HR:

Heat rate (kJ kW−1 h−1)

HTF:

Heat transfer fluid

\(\dot{I}\) :

Destroyed exergy (kW)

IPT:

Intermediate pressure turbine

LPT:

Low-pressure turbine

\(\dot{m}\) :

Mass flow rate (kg s−1)

P :

Pressure (bar)

PTC:

Parabolic trough collector

Q :

Heat (kW)

\(\overline{R}\) :

World constant for gases

RC:

Rankin cycle

s :

Specific entropy (kJ kg−1 K−1)

SC:

Simple cycle

SD:

Solar dishes

SH:

Superheating

T :

Temperature (°C)

TCI:

Total cost investment ($)

v :

Velocity (m s−1)

W :

Work (kW)

z :

Elevation (m)

Ql:

Heat loss (kW)

\(Z\) :

Cost ($, $ kWh−1)

\(\varphi\) :

Operation and maintenance factor

\(\gamma\) :

Specific heat ratio

\(\eta_{{\text{I}}}\) :

First low efficiency

\(\eta_{{{\text{II}}}}\) :

Second low efficiency

\(\zeta\) :

Exergy of fuels

ψ :

Specific exergy (kW kg−1)

a:

Air

amb:

Ambient

c:

Solar collector

ct:

Cooling tower

con:

Condenser

c.v:

Control volume

d:

Direct

de:

Deaerator

des:

Destroyed

f:

Fuel

fw:

Feed water

hex:

Heat exchanger

i:

Inlet

o:

Outlet

OM:

Operation and maintenance

PEC:

Purchase equipment cost

reh:

Reheater

s:

Solar

sf:

Solar field

st:

Steam turbine

th:

Thermal

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Authors and Affiliations

  1. Department of Mechanical Engineering, Khomeinishahr Branch, Islamic Azad University, Khomeinishahr, Iran

    Matin Raeisi Moghadam, Davood Toghraie, Mohammad Hashemian & Gholamreza Ahmadi

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  1. Matin Raeisi Moghadam
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  2. Davood Toghraie
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  4. Gholamreza Ahmadi
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Correspondence to Davood Toghraie.

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Moghadam, M.R., Toghraie, D., Hashemian, M. et al. Finding susceptible areas for a 50 MW solar thermal power plant using 4E analysis and multiobjective optimization. J Therm Anal Calorim 144, 1761–1782 (2021). https://doi.org/10.1007/s10973-020-10371-0

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