Thermodynamic and thermoeconomic analysis and optimization of a novel dual-loop power/refrigeration cycle
- 1. Department of Aerospace Engineering, Sharif University of Technology, Azadi Street, Tehran (Iran, Islamic Republic of)
- 2. Department of Mechanical Engineering, Faculty of Engineering, University of Mohaghegh Ardabili, P.O. Box 179, Ardabil (Iran, Islamic Republic of)
- 3. Iran University of Medical Sciences, Faculty of Health, Department of Occupational Health Engineering, Tehran (Iran, Islamic Republic of)
- 4. Department of Bio-System Engineering, Faculty of Agriculture, University of Mohaghegh Ardabili, Ardabil (Iran, Islamic Republic of)
Description
Highlights: • A dual-loop power/refrigeration cycle is presented. • Thermodynamic and thermoeconomic analysis of the proposed cycle are performed. • Different working fluids are examined and suggested based on their performance criteria. • Optimization of the proposed cycle is carried out using GA. • Comprehensive parametric study of the presented cycle is conducted. Exploration of the ejector refrigeration cycle (ERC) in the combination with well-known power cycles to produce cooling output as well as power output is highlighted in recent decades. Since organic Rankine cycle (ORC) is practically usable than other power cycles, a combination of the ORC/ERC in a novel form is presented. Power and refrigeration sub-cycles are combined by a common condenser in separate loops to form dual-loop power/refrigeration cycle. The exhaust of the turbine is mixed with the outlet flow of the ejector, and then the mixed flow is fed into the condenser. Thermodynamic and thermoeconomic analysis of the proposed cycle are carried out with different working fluids (i.e., isobutane, isobutene, butene, cis-2-butene, n-butane, R236fa, and R245fa) showing that among all working fluids isobutane is the best one from thermodynamic, thermoeconomic, and environmental viewpoints. The results of exergy analysis showed that among all components generator accounts for the biggest exergy destruction rate followed by the heater for all selected working fluids. In addition, multi-objective optimization of the proposed cycle is carried out by considering of generator pressure, heater pressure, evaporator temperature, and condenser temperature as decision variables, using the genetic algorithm (GA). The results of the optimization demonstrated that the proposed cycle performs in an optimum state based on the selected objective functions when generator pressure, heater pressure, evaporator temperature, and condenser temperature work at 3 MPa, 1 MPa, 280 K, and 299.8 K, respectively, as isobutane is used. In this case, the optimum net output power, cooling output, thermal efficiency, exergy efficiency, total SUCP (sum unit cost of the product) of the system are calculated 15.22 kW, 61.99 kW, 39.02%, 25.09%, and 86.04 $/GJ, respectively. To better understand the effect of various parameters on system performance, a comprehensive parametric study of some key parameters on performance criteria is carried out. It is shown that the net output power, exergy efficiency, and total SUCP of the system can be optimized based on the generator pressure. In addition, the total SUCP of the system can be minimized by evaporator temperature, too. Also, it is shown that higher cooling output, net output power, thermal efficiency, and exergy efficiency can be obtained at lower heater pressures as well as condenser temperatures. Moreover, at higher generator pressures and evaporator temperatures, a higher cooling output and thermal efficiency can also result.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.applthermaleng.2018.04.031Additional details
Identifiers
- DOI
- 10.1016/j.applthermaleng.2018.04.031;
- PII
- S1359431117356545;
Publishing Information
- Journal Title
- Applied Thermal Engineering
- Journal Volume
- 138
- Journal Page Range
- p. 1-17
- ISSN
- 1359-4311
- CODEN
- ATENFT
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 53018418
- Subject category
- S42: ENGINEERING;
- Descriptors DEI
- 2-METHYLPROPANE; BUTANE; BUTENES; EXERGY; GENETIC ALGORITHMS; HEAT EXCHANGERS; HEATERS; PARAMETRIC ANALYSIS; PERFORMANCE; PRESSURE RANGE MEGA PA; RANKINE CYCLE; REFRIGERATION; THERMAL EFFICIENCY; THERMODYNAMICS; TURBINES; VAPOR CONDENSERS; WORKING FLUIDS
- Descriptors DEC
- ALGORITHMS; ALKANES; ALKENES; COOLING; EFFICIENCY; ENERGY; EQUIPMENT; FLUIDS; HYDROCARBONS; MACHINERY; MATHEMATICAL LOGIC; ORGANIC COMPOUNDS; PRESSURE RANGE; THERMODYNAMIC CYCLES; TURBOMACHINERY
Optional Information
- Copyright
- Copyright (c) 2018 Elsevier Ltd. All rights reserved.