Thermoeconomic multi-objective optimization of an organic Rankine cycle (ORC) adapted to an existing solid waste power plant

In this paper, thermodynamic and thermoeconomic analyses, and also optimization of an organic Rankine cycle (ORC) were performed. The system was adapted to an existing solid waste power plant with a 5.66 MW installed power capacity in order to produce additional power from the exhaust gas. The actual operating data of the plant were utilized during all stages of the analyses. The originality of this paper is based on the analysis of the possibility of the energy conversion of an exhaust gas with a temperature of 566 & #x000B0;C into the electricity by utilizing an ORC system in the concept of waste-to-energy. Four different working fluids: toluene, octamethyltrisiloxane (MDM), octamethyl cyclotetrasiloxane (D4) and n-decane were considered and analyzed for the current system. This is also another novelty of this study due to lack of such a study, in the open literature, that deals with an ORC utilized for a typical municipal solid waste power plant. According to the thermoeconomic analyses, toluene was found to be the optimum working fluid with the maximum power output of 584.6 kW and the exergy efficiency of 15.69%. The optimization of the cycle was performed by using the non-dominated sorting genetic algorithm method (NSGA-II) in MATLAB software environment. The optimization results were compared and the deviations of the net power output and the total cost rate were evaluated as & #x2212;5.89%, & #x2212;3.51 & #x00024;/h for toluene; 0.96%, & #x2212;3.60 & #x00024;/h for MDM; 8.45%, & #x2212;2.04 & #x00024;/h for D4 and 2.00%, & #x2212;5.54 & #x00024;/h for n-decane, respectively. © 2018 Elsevier Lt

Thermoeconomic analysis and optimization of a Re-compression supercritical CO2 cycle using waste heat of Gaziantep Municipal Solid Waste Power Plant

This paper presents thermodynamic and thermoeconomic analyses as well as optimization of a re-compression supercritical CO2 cycle. A gas turbine cycle (GT) is adapted as a model to an existing plant to generate additional power in Gaziantep Municipal Solid Waste Power Plant (GMSWPP). The total capital cost rate and total cost rate of the GT cycle are found to be 20.47 $/h and 77.14$/h, respectively utilizing SPECO by using the exhaust gas of 16 kg/s with 1.9 bar and 566.7 °c. The net power, the energy and exergy efficiencies, the total cost and the total capital cost rates of the GT cycle are optimized by +1.73%, +3.21%, +2.45%, ?1.11% and ?1.64%, respectively using NSGA-II in MATLAB in the range of 2.5?PR?4, 200?P6?216, 16?T0?23 and 9.1?LMTD?12.9. This paper provides an originality such that optimization as well as thermodynamic and thermoeconomic analyses is performed simultaneously for an existing MSW power plant, which can be stressed that there are scarce amounts of studies related on this field. Moreover, as another novelty, it can be emphasized that net power output of such like plants which have similar capacity can be improved using the developed model and NSGA-II optimization method. © 2017 Elsevier Lt

Assessment of serum galectin-3, methylated arginine and Hs-CRP levels in type 2 diabetes and prediabetes

PubMed: 31211997Purpose: Galectin-3 is associated with the process of inflammation and fibrosis. The aim of this study was both to evaluate of galectin-3, methylated arginines and hs-CRP in subjects with type 2 diabetes and prediabetes and to investigate a relation between serum galectin-3, methylated arginines and hs-CRP levels. Methods: In this study, all subjects were defined as the control group, type 2 diabetes (n = 84) by fasting plasma glucose and prediabetes (n = 34) by 75-g oral glucose tolerance test. Also, participants with type 2 diabetes were divided into as group I (HbA1c ?7%, n = 40) and group II (HbA1c ?7%, n = 44). The analysis of serum methylated arginines levels was analyzed by tandem mass spectrometry. Galectin-3 levels were determined via chemiluminescent microparticle immunoassay (CMIA). Results: Serum galectin-3, ADMA, L-NMMA and SDMA levels were significantly lower in the control group (13.3 ± 3.42; 0.630 (0.13–1.36); 0.176 (0.02–0.53); 0.115 (0.04–0.26), respectively) compared to diabetic subjects (15.71 ± 4.22; 0.825 (0.23–2.80); 0.366 (0.08–1.41); 0.1645 (0.06–0.47), p = 0.002, p = 0.01, p = 0.001 and p = 0.006, respectively). Galectin-3 was positively correlated with hs-CRP (r = 0.295 p = 0.001), L-NMMA (r = 0.181 p = 0.022), HbA1c (r = 0.247 p = 0.002), neopterin (r = 0.160 p = 0.045) and FPG (r = 0.207 p = 0.001) respectively. Also, there was positively correlated ADMA with FPG (r = 0.192 p = 0.016) and eAG (r = 0.235 p = 0.003). Conclusions: Thus, galectin-3 might be a useful prognostic marker in the population with prediabetes and diabetes. Moreover, it can be a marker showing the condition of developing complications in diabetic patients. © 2019Firat University Scientific Research Projects Management UnitAll sources of financial and material support were provided by the Scientific Research Projects Coordination Unit, Selcuk University, Konya, Turkey