Sunday, 20 February 2022

Predict the Partial Load Performance of Rankine cycles: Spencer_ Cotton Cannon_Method _ Using Matlab (Modeling of Rankine Cycles using the Spencer, Cotton and Cannon method )


Modeling of Rankine Cycles using the Spencer, Cotton and Cannon method
This program uses the Spencer, Cotton and Cannon method to predict the partial load performance of Rankine cycles, using as input data the pre-design characteristics of the cycle's components. https://in.mathworks.com/matlabcentral/fileexchange/64914-modelling-of-rankine-cycles-using-spencer-cotton-and-cannon Félix Pérez Cicala (2022). Modelling of Rankine cycles using Spencer, Cotton and Cannon (https://github.com/FelixPerezCicala/ modRankineSCC), GitHub. The purpose of this video is to study the partial load performance of Rankine cycles using the Spencer, Cotton and Cannon method. This method can predict the isentropic performance of steam turbines in off - design conditions, using empirical correlations obtained by the method’s authors. A procedure was developed to calculate the performance and operating conditions of a Rankine cycle, using as input data the characteristics of the cycle’s components at the pre-design stage. The steam turbines and the feedwater heaters where modelled in detail. A Matlab program was developed using this procedure, thus enabling for the setting of different cycle options and an easy visualization of the results. The feedwater heaters are dimensioned and calculated using a thermal model. The program allows the user to simulate operation with off- line feedwater heaters and with partially closed extraction valves. The cycle’s pumps and condenser use a simplified model, and the steam gene- rator as well as the electric generator are not modelled, in order to give flexiblility program. Also See the examples below Modeling & Analysis of Residential Air Conditioning & Refrigeration System https://youtu.be/bfxEjDs7ENs Click here to download the file: https://drive.google.com/file/d/1BIgYCgE-lUU9_HnNGz7IeXwtaOmqGxO2/view?usp=sharing Click here to download the thesis file: https://drive.google.com/file/d/16rJ7Wo-DsLmNHMW-5g9d_yY1ZySvrP6-/view?usp=sharing https://in.mathworks.com/matlabcentral/fileexchange/64914-modelling-of-rankine-cycles-using-spencer-cotton-and-cannon Félix Pérez Cicala (2022). Modelling of Rankine cycles using Spencer, Cotton and Cannon (https://github.com/FelixPerezCicala/ modRankineSCC), GitHub.



Saturday, 5 February 2022

Modeling & Analysis of Residential Air Conditioning & Refrigeration System



Modeling & Analysis of   Residential Air Conditioning &  Refrigeration System

This example models a basic refrigeration system that transfers heat between the refrigerant two-phase fluid and the environment moist air mixture. The compressor drives the R134a refrigerant through a condenser, a capillary tube, and an evaporator. An accumulator ensures that only vapor returns to the compressor. This plot shows the rate of heat transfer between refrigerant and moist air in the condenser and evaporator as well as the rate of heat loss through the insulation of the compartment and freezer. It also shows the temperature of cold air and food in the compartment and freezer. At 11000 s, the compartment door is opened for 60s, resulting in a spike in compartment temperature. This plot shows the power consumed by the compressor and the cooling load of the refrigeration system, which is the rate of heat transfer in the evaporator. The coefficient of performance is the ratio of the cooling load and the power consumed. This plot shows refrigerant pressure and mass flow rate. The high pressure line is at around 1 MPa and the lower pressure line is at around 0.1 MPa. The nominal refrigerant flow rate is 1 g/s. The plot also shows the liquid volume fraction in the accumulator. This plot shows Fluid Properties with Temperature Vs Pressure Vs Normalized Internal Energy

  Click here to download the file:

https://drive.google.com/file/d/1tvoQOwCRL1QwPfJtCwjUiSTKGCBdE6pR/view?usp=sharing






Thursday, 3 February 2022

How to build the Complex Multi domain Models (Train System) using Matlab physical Modeling Blocks


How to build the Complex Multi domain Models (Train System) using Matlab physical Modeling Blocks


In the video, we learn how to build the Train system using Matlab Simulink.
How to build the Complex Multi domain Models (Train System) using Matlab physical Modeling Blocks Kindly Subscribe My YouTube Channel... Please like, share and comments on My Videos 🙏 Please click the below links to Subscribe/Join & View my Videos https: //www.youtube.com/c/DrMSivakumar For More Details about this Video Join/ View the following Telegram : t.me/Dr_MSivakumar website : drmsivakumar78.blogspot.com Click here to download the file: https://drive.google.com/file/d/1DJFQvHES0wRMHT2-4W0UqYI6nCv8eTyt/view?usp=sharing








Tuesday, 1 February 2022

Grid Integration of Hybrid Photovoltaic & Wind Power System


Grid Integration of Hybrid Photovoltaic & Wind Power System


This Video describes about design and analysis of Grid Integrated Hybrid Photovoltaic & Wind Power System

Currently hybrid systems involving wind power as one of the constituent along with fuel cell and/or photovoltaic power are more appealing.

The main purpose of such hybrid power systems is to overcome the intermittency and uncertainty of wind energy and to make the power supply more reliable.

The work consists of modeling and simulation of wind and photovoltaic hybrid energy system inter-connected to electrical grid through power electronic interface.
The power conditioning system is implemented to control power electronic circuits and system performance is evaluated for different input power levels and load variation.

Hybrid energy system usually consists of two or more renewable/nonrenewable energy sources.

Currently hybrid systems involving wind power as one of the constituent along with fuel cell and/or photovoltaic power are more appealing.

The main purpose of such hybrid power systems is to overcome the intermittency and uncertainty of wind energy and to make the power supply more reliable.

The work consists of modeling and simulation of wind and photovoltaic hybrid energy system inter-connected to electrical grid through power electronic interface.
The power conditioning system is implemented to control power electronic circuits and system performance is evaluated for different input power levels and load variation.

Click here to get the file: https://drive.google.com/file/d/1dHS5eLRulQPdUxZw8S92nsBvtOaxbW-l/view?usp=sharing


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