application of cogeneration systems based gas turbine for heat and power production is increasing. because of finite natural energy resources and increasing energy demand the cost effective design of energy systems is essential. cgam problem as a cogeneration system is considered here for analyzing. two new approaches are considered, first in thermodynamic model of gas turbine and cogeneration ...

1 Gavin Heverly-Coulson, Bishop’s University, [email protected] 2 Amber Findleton, Bishop’s University, [email protected] 3 Starr Dostie, Bishop’s University, [email protected] Abstract – The modern delivery of concepts in physical chemistry can now take advantage of the integration of symbolic computation engines. The advancement of the friendly userinterfaces of the existent p...

in this paper, we propose to extend the hierarchical bivariatehermite interpolant to the spherical case. let $t$ be an arbitraryspherical triangle of the unit sphere $s$ and  let $u$ be a functiondefined over the triangle $t$. for $kin mathbb{n}$, we consider ahermite spherical interpolant problem $h_k$ defined by some datascheme $mathcal{d}_k(u)$ and which admits a unique solution $p_k$in the ...

Abstract This paper introduces the Bayesian mass average and details its computation. Owing to complexity of flow in an engine limited instrumentation precision sensor apparatus used, it is difficult rigorously calculate averages. Building upon related work, this views any thermodynamic quantity’s spatial variation at axial plane (or a rig) as Gaussian random field. In cases where flowrate cons...

– We show that a 3-qubit system as studied for quantum information purposes can alternatively be used as a thermodynamic machine when externally driven in finite time and interfaced between two split baths. The spins are arranged in a chain where the working spin in the middle exercises Carnot cycles the area of which defines the exchanged work. The cycle orientation (sign of the exchanged work...

Thermodynamic models are usually employed to predict formation condition of hydrates. However, these thermodynamic require a large amount calculations approach phase equilibrium. Additionally, parameters included in the model need be calibrated based on experimental data, which leads high uncertainties predicted results. With rapid development artificial intelligence (AI), machine learning as o...