thermodynamic model validation of capstone c30 micro gas turbine

Abstract In this work, a multi-variable multi-objective methodology aimed to perform the validation of the thermodynamic model has been applied to the Capstone C30 micro gas turbine. The methodology is based on a genetic optimization algorithm, where decision variables and objectives are set depending on available experimental data. The results of the studied case highlight the capability of the method to point out some experimental data inconsistencies and that it can lead to a consistency thermodynamic reconstruction of the micro turbine behaviour

Overview as Starting Point In Orthodontics

La radiografía panorámica es un tipo de examen al que se le aplica una dosis muy pequeña de radiación ionizante para capturar una imagen de la boca. Este abarca desde un cóndilo hasta el cóndilo del lado opuesto. En la Ortodoncia es primordial analizar los estudios radiográficos para poder diagnosticar y establecer un plan de tratamiento específico para cada paciente de manera individual.A panoramic x-ray is a type of test that uses a very small dose of ionizing radiation to capture an image of the mouth. This extends from a condyle to the condyle on the opposite side. In orthodontics it is essential to analyze radiographic studies in order to diagnose and establish a specific treatment plan for each patient individually.Facultad de Odontologí

Thermodynamic and Experimental Analysis of a Biomass Steam Power Plant: Critical Issues and their Possible Solutions with CCGT Systems☆

Abstract This paper shows the experimental and numerical analysis of a biomass steam power plant from maximum power of 2.3 MW with a maximum pressure of 48 bar and a turbine inlet temperature of about 430 °C at the design point. The analysis has been conducted using experimental data, collected directly on the power plant, at the design point, and they have been afterwards used to validate a thermodynamic model. The analysis of the biomass power plant pointed out some critical issues that can be summarized in three points: low plant efficiency due to the small size, biomass supply range and continuous variation of the operating point. In order to solve this problem, different plant configurations were numerically evaluated. The first solution to these problems consists of a 100 kWe micro gas turbine (MGT) fueled by natural gas, whose exhaust gas were sent to the steam generator of the biomass power plant in order to evaluate the benefits on the power fluctuations and on global electric efficiency. A thermodynamic model of the MGT has been developed and validated with experimental data from technical literature, creating a CCGT (Combined Cycle Gas Turbine) system. The analysis of the results of this system showed improvement in terms of efficiency and operational stability. The second option was to fuel the previously validated method of MGT with four different alternative fuels and to evaluate the integration with the biomass plant for all of them. Furthermore, to emphasize the benefits of this integration, the power of the micro turbine has been increased assuming the use of more MGT at the same time. These analyses show an increase of the system efficiency, it could been also used the biomass, not suitable for direct combustion (high humidity), to produce biogas that fuels the MGT, reducing the range of biomass supply

a vector optimization methodology applied to thermodynamic model calibration of a micro gas turbine chp plant

Abstract This paper is focused on the validation of a cogeneration plant based on micro gas turbine. The experimental data related to design working point are compared to thermodynamic model results using a multi-variable multi-objective methodology depending on a genetic optimization algorithm (MOGA-II). The result with lowest Euclidean norm in objective functions space represents the operating conditions closest to experimental data, and it highlights at the same time the reliability of chain measurement. Finally, this preferred result is plotted on turbomachinery performance maps in order to validate indirectly the methodology outcomes

Physiologic risk assessment in stable ischemic heart disease: still superior to the anatomic angiographic approach.

In patients with ischemic heart disease (IHD), a functional risk assessment based on non-invasive tests may conflict with a health care policy oriented toward cost containment and direct reperfusion delivery. In this respect, a survey of the European Society of Cardiology has shown that noninvasive tests are underutilized, with wide variability between different countries, so that several patients without significant IHD directly undergo invasive coronary angiography. On the other hand, coronary lesions detected by coronary angiography often are revascularized even without the evidence that myocardial blood supply or mechanical function is altered. This \u27\u27anatomically oriented\u27\u27 invasive approach may negatively impact patient management, with consequent suboptimal medical treatment, inappropriate revascularizations, additional risks, and increased health costs. To investigate the prognostic power of gated SPECT in current practice, we recently studied a cohort of 676 consecutive patients admitted for known or suspected IHD.3 Each patient underwent a complete diagnostic work-up that included clinical evaluation, laboratory tests, 12-lead electrocardiogram, two-dimensional echocardiography, stress/rest gated SPECT, and coronary angiography. During follow-up (median, 37 months), 24 patients died from cardiac causes and 19 had a nonfatal myocardial infarction (MI). Several variables were independent predictors of event-free survival (cardiac death and non-fatal MI) in the different phases of diagnostic work-up. When the above predictors were tested together, summed rest score (SRS), summed difference score (SDS), serumcreatinine, and LDL/HDL cholesterol were the only final independent predictors of event-free survival (Table 1). The results of this study lead us to make some considerations on risk stratification in stable IHD

Multi-objective Optimization and Sensitivity Analysis of a Cogeneration System for a Hospital Facility☆

Abstract Combined heat and power plants are recognized as very effective solutions to achieve the increasingly stringent requirements in primary energy saving. The paper addresses the use of a specifically developed methodology to conduct several analyses on the basis of the loads of a specific hospital facility and through the study of the cogeneration system-user interaction. Predictive analyses are carried out using a multi-objective approach to find optimized plant configurations that approaches the best energetic results while ensuring a reasonable profit. Optimized plant configurations and management strategies indicate primary energy savings exceeding 17%. Finally, a sensitivity analysis is carried out to evaluate the robustness of the result