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This research presents the energy, exergy, economic, and environmental assessment, and multi-objective optimization of a flash-binary geothermal CCHP cycle. A sensitivity analysis of production well inlet temperature and cooling to power flow ratio on exergetic, economic, and environmental parameters was conducted. Furthermore, the effects of the inflation rate and plant working hours on economic parameters were investigated. Results showed that increasing the production well inlet temperature harms exergy efficiency and exergetic performance criteria and results in a gain in exergo-environmental impact index and heating capacity. In addition, the total plant cost increased by raising the production well temperature. Furthermore, increasing the cooling to power flow ratio caused a reduction in exergy efficiency, exergetic performance criteria, and produced net power and an enhancement in exergy destruction, cooling capacity, and total plant cost. The exergy efficiency and total cost rate in the base case were 58% and 0.1764, respectively. Optimization results showed that at the selected optimum point, exergy efficiency was 4.5% higher, and the total cost rate was 10.3% lower than the base case. Levelized cost of energy and the pay-back period at the optimum point was obtained as 6.22 c$/kWh, 3.43 years, which were 5.14% and 6.7% lower than the base case.
Moein Shamoushaki; Mehdi Aliehyaei; Farhad Taghizadeh-Hesary. Energy, Exergy, Exergoeconomic, and Exergoenvironmental Assessment of Flash-Binary Geothermal Combined Cooling, Heating and Power Cycle. Energies 2021, 14, 4464 .
AMA StyleMoein Shamoushaki, Mehdi Aliehyaei, Farhad Taghizadeh-Hesary. Energy, Exergy, Exergoeconomic, and Exergoenvironmental Assessment of Flash-Binary Geothermal Combined Cooling, Heating and Power Cycle. Energies. 2021; 14 (15):4464.
Chicago/Turabian StyleMoein Shamoushaki; Mehdi Aliehyaei; Farhad Taghizadeh-Hesary. 2021. "Energy, Exergy, Exergoeconomic, and Exergoenvironmental Assessment of Flash-Binary Geothermal Combined Cooling, Heating and Power Cycle." Energies 14, no. 15: 4464.
A comprehensive cost correlation analysis was conducted based on available cost correlations, and new equipment cost correlation models were proposed based on QUE$TOR modeling. Cost correlations for various types of equipment such as pumps, compressors, heat exchangers, air coolers, and pressure vessels were generated on the basis of extracted cost data. The models were derived on the basis of robust multivariable regression with the aim of minimizing the residuals by using the genetic algorithm. The proposed compressor models for both centrifugal and reciprocating types showed that the Turton cost estimation for carbon steel compressor and Matche’s and Mhhe’s data were compatible with the generated model. According to the results, the cost trend in the Turton correlation for carbon steel had a somewhat lower estimation than these correlations. Further, the cost trend of the Turton correlation for carbon steel pressure vessels was close to the presented model trend for both bullet and sphere types. The Turton cost trend for U-tube shell-and-tube heat exchangers with carbon steel shell and stainless steel tube was close to the proposed heat exchanger model. Furthermore, the Turton cost trend for the flat-plate heat exchanger using carbon steel was similar to the proposed model with a slight difference.
Moein Shamoushaki; Pouriya Niknam; Lorenzo Talluri; Giampaolo Manfrida; Daniele Fiaschi. Development of Cost Correlations for the Economic Assessment of Power Plant Equipment. Energies 2021, 14, 2665 .
AMA StyleMoein Shamoushaki, Pouriya Niknam, Lorenzo Talluri, Giampaolo Manfrida, Daniele Fiaschi. Development of Cost Correlations for the Economic Assessment of Power Plant Equipment. Energies. 2021; 14 (9):2665.
Chicago/Turabian StyleMoein Shamoushaki; Pouriya Niknam; Lorenzo Talluri; Giampaolo Manfrida; Daniele Fiaschi. 2021. "Development of Cost Correlations for the Economic Assessment of Power Plant Equipment." Energies 14, no. 9: 2665.