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EN
Sensitive MEMS-based thermal flow sensors are the best choice for monitoring the patient’s respiration prompt diagnosis of breath disturbances. In this paper, open space micro-calorimetric flow sensors are investigated as precise monitoring tools. The differential energy balance equation, including convection and conduction terms, is derived for thermal analysis of the considered sensor. The temperature-dependent thermal conductivity of the thin silicon-oxide membrane layer is considered in the energy balance equation. The derived thermal non-linear differential equation is solved using a well-known analytical method, and a finite-element numerical solution is used for the confirmation. Results show that the presented analytical model offers a precise tool for evaluating these sensors. The effects of flow and thin membrane film parameters on thermo-resistive micro-calorimetric flow sensors’ performance and sensitivity are evaluated. The optimization has been performed at different flow velocities using a genetic algorithm method to determine the optimum configuration of the considered flow sensor. The geometrical parameters are selected as a decision variable in the optimization procedure. In the final step, using optimization results and curve-fitting, the expressions for the optimum decision variables have been derived. The sensor’s optimum configuration is achieved analytically based on flow velocity with the analytical terms for optimum decision variables.
EN
Analysis of the current status of power plants and finding solutions to increase their efficiency is essential because of longterm rising fuel prices, environmental concerns and an ever-increasing demand for energy in the world. A basic approach to maintaining the existing units is to increase energy efficiency by using these units in the cogeneration cycle, based on technical and economic considerations. In this paper, the technical and economic evaluation of a gas power plant in central Iran is used with reference to a combined electricity and freshwater generation system on Iran’s southern shores. Results show that the two gas turbines, a heat recovery boiler, condensing steam turbine and reverse osmosis unit at Chabahar is the most attractive scenario, because it has the highest net present value, internal rate of return, the quickest payback period and the lowest price in the studied scenarios.
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