Thermoeconomic analysis and multiobjective optimization of a combined gas turbine, steam, and organic Rankine cycle

Abstract

Because of the fossil fuels crisis in recent years, efficient working of power producing cycles has gained considerable importance. This study presents a detailed exergoeconomic analysis of a proposed combination of a gas turbine (GT), a steam Rankine cycle (SRC), and an organic Rankine cycle (ORC), which are coupled together to obtain the maximum heat recovery of the GT exhaust gas. The proposed cycle was analyzed from both thermodynamic and economic viewpoints. The exergy efficiency and product cost rate of the introduced cycle were optimized simultaneously using multiobjective optimization with seven decision variables, including steam turbine inlet pressure and temperature, ORC turbine inlet pressure, ORC and steam turbine back pressures, and pinch point of heat exchangers. Sensitivity analysis revealed that the steam turbine back pressure and inlet pressure had the highest impact on product cost rate and exergy efficiency, followed by ORC turbine inlet pressure and back pressure. Also, the exergoeconomic analysis showed that the combustion chamber had the highest sum of exergy destruction costs and investment costs; more attention should thus be paid to its design procedure. Under the design conditions, the exergy efficiency of 40.75% and product cost rate of 439 million $/year could be achieved.

Exergoeconomic analysis for crude oil gathering and transportation system in matrix pattern

“…40 It is not ideal with an exergoeconomic coefficient too large or small. Based on exergoeconomic coefficient analysis, it is available to find out the main reasons for each component cost increase amplitude.…”

“…Meanwhile, the rationality and economy of the energy consumption are improved, so as to meet the purpose of scheme decision. 40 It is not ideal with an exergoeconomic coefficient too large or small. When the destroyed exergy cost and nonenergy cost reach the appropriate value, the system achieves the double benefits of thermodynamic and economic concurrently.…”

“…Through the unremitting research and exploration of many experts and scholars, it has become a more rigorous and mature discipline. 2,3 The application scope of exergoeconomic is very wide, which can be applied to the treatment of municipal solid waste and can also help to better understand what energy conversion system is. 4,5 At the same time, researchers have made some achievements in the research of energy utilization for sustainable development.…”

Development of Simple-To-Use Predictive Models to Determine Thermal Properties of Fe2O3/Water-Ethylene Glycol Nanofluid

“…Bias is treated as an extra input which has a value of 1 at all times. All neurons within the network are responsible to use appropriate correlations to properly link the input information to the desired outputs [35,36]. The net inputs (S) for the hidden neurons are computed as [37]:…”

“…One of the recent learning methods based on this theory is the support vector machine (SVM) [38]. Because of its high performance, effective generalization ability, and use of kernel-induced feature spaces, it has extensively been employed to solve nonlinear functions and density estimation problems [35,36]. To improve the SVM, Suykens et al [39] introduced the Least Squares Support Vector Machines (LSSVM) method.…”