Analysis & Evaluation of Solid Oxide Fuel Cell based Waste Heat Recovery System(WHRS)

Analysis & Evaluation of   Solid Oxide Fuel Cell based  Waste Heat Recovery System(WHRS)

This example Matlab Script shows Overall SOFC Performances and Overall SOFC Performance with WHRS and Suitable for analysis of the following

1) Waste heat recovery for fuel cells 2) Waste Heat Recovery for Fuel Cell Electric Vehicle

There are some useful methods to recover the waste heat in fuel cell systems:

When the waste heat is used for fuel reforming processes, the overall efficiency of fuel cell system can achieve about 60%.

For the combined solid oxide fuel cell system with gas turbine or micro gas turbine, a net electrical efficiency can be greater than 60% and the system efficiency is greater than 80%.

The combined heat and power in fuel cell systems is a good option when heat and electricity both are need to supply.

This method can be applied to high temperature fuel cell systems (SOFC).

It can be also suitable for the low temperature fuel cell systems (PEM).

Fuel cells are one of the cleanest ways of generating electricity, and as they the gain in popularity, the Waste Heat Recovery (WHR) of these systems becomes increasingly more important.

This is because it’s possible to reuse this waste heat that the system produces for the purpose of reaching a higher overall efficiency for the entire system.

Certain fuel cells, such as a proton-exchange membrane fuel cells (PEMFC), can operate at low temperatures with an efficiency close to 60%, making them well suited for non-stationary applications such as vessels or vehicles. Click here to download the Matlab Script file: https://drive.google.com/file/d/1bo4TTrXgVx20bg59Su6pwbWHsanKjZcO/view?usp=sharing

AI & Machine Learning Approaches in Renewable Energy Systems_ DST - SERB Sponsored Virtual Workshop

AI & Machine Learning Approaches in Renewable Energy Systems_ DST - SERB Sponsored Virtual Workshop

Workshop Contents:

- Introduction to AI & ML

- Introduction to RES

- Recent Trends & Research in RES

- Simulation & Analysis of Solar Energy System using Matlab Simulink

- Modeling & Simulation of Fuel Cells in Matlab Simscape

Rankine Cycle with Reheat Steam Power Plant _Turbine Work output, Thermal Efficiency & T- S Diagram

Rankine Cycle with Reheat Steam Power Plant _Turbine Work output, Thermal Efficiency & T- S Diagram

This video will demonstrates a steam power plant operates on the ideal reheat Rankine cycle. Steam enters the high pressure turbine at 8 MPa and 500 C and leaves at 3 MPa. Steam is then reheated at constant pressure to 500 C before it expands to 20 kPa in the low pressure turbine. Determine the turbine work output, in kJ/kg, and the thermal efficiency of the cycle. Also show the cycle on a T-s diagram with respect to the saturation lines.

"!Pump analysis" P[1] = P[6] P[2]=P[3] x[1]=0 "Sat'd liquid" h[1]=enthalpy(Steam,P=P[1],x=x[1]) v[1]=volume(Steam,P=P[1],x=x[1]) s[1]=entropy(Steam,P=P[1],x=x[1]) T[1]=temperature(Steam,P=P[1],x=x[1]) W_p_s=v[1]*(P[2]-P[1]) "SSSF isentropic pump work assuming constant specific volume" W_p=W_p_s/Eta_p h[2]=h[1]+W_p "SSSF First Law for the pump" v[2]=volume(Steam,P=P[2],h=h[2]) s[2]=entropy(Steam,P=P[2],h=h[2]) T[2]=temperature(Steam,P=P[2],h=h[2]) "!High Pressure Turbine analysis" h[3]=enthalpy(Steam,T=T[3],P=P[3]) s[3]=entropy(Steam,T=T[3],P=P[3]) v[3]=volume(Steam,T=T[3],P=P[3]) s_s[4]=s[3] hs[4]=enthalpy(Steam,s=s_s[4],P=P[4]) Ts[4]=temperature(Steam,s=s_s[4],P=P[4]) Eta_t=(h[3]-h[4])/(h[3]-hs[4]) "Definition of turbine efficiency" T[4]=temperature(Steam,P=P[4],h=h[4]) s[4]=entropy(Steam,T=T[4],P=P[4]) v[4]=volume(Steam,s=s[4],P=P[4]) h[3] =W_t_hp+h[4] "SSSF First Law for the high pressure turbine" "!Low Pressure Turbine analysis" P[5]=P[4] s[5]=entropy(Steam,T=T[5],P=P[5]) h[5]=enthalpy(Steam,T=T[5],P=P[5]) s_s[6]=s[5] hs[6]=enthalpy(Steam,s=s_s[6],P=P[6]) Ts[6]=temperature(Steam,s=s_s[6],P=P[6]) vs[6]=volume(Steam,s=s_s[6],P=P[6]) Eta_t=(h[5]-h[6])/(h[5]-hs[6]) "Definition of turbine efficiency" h[5]=W_t_lp+h[6] "SSSF First Law for the low pressure turbine" x[6]=quality(Steam,h=h[6],P=P[6]) "!Boiler analysis" Q_in + h[2]+h[4]=h[3]+h[5] "SSSF First Law for the Boiler" "!Condenser analysis" h[6]=Q_out+h[1] "SSSF First Law for the Condenser" T[6]=temperature(Steam,h=h[6],P=P[6]) s[6]=entropy(Steam,h=h[6],P=P[6]) x6s$=' ('||Phase$(steam,h=h[6],P=P[6])||')' "!Cycle Statistics" W_net=W_t_hp+W_t_lp-W_p "net work" Eff=W_net/Q_in "cycle eficiency" 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

How to set up a parametric table, re-solves for Power in & Vol.outflow rate for outlet temperatures

This Video shows how to solve thermodynamic problem using EES

Problem: A compressor takes in 1.2 kg/s of R-134 that is in a saturated vapor state at -24°C. The compressor outlet state is at 0.8 MPa and 100°C. Find: The power input of R-134 by the compressor, the volumetric flow rate at the exit and how much power must be provided by an electric motor if the compressor’s efficiency is 70%. Then, set up a parametric table that re-solves for both the power input and volumetric outflow rate for outlet temperatures: 180, 160, 100, and 80° C. No more than three sig figs for results computed for EES. In this video, we will use a thermodynamics problem - Courtesy of ES2310 taught by Dr. Paul Dellenback Step 1: Enter the problem information Step 2: Use EES to obtain the values of enthalpy and density at states one and two. Step 3: Enter the thermodynamics equations we want to solve for in EES Step 4: Build a Parametric Table for a range of temperatures at state two.

How to solve equations using EES Solver _ Step by Step Introduction to Engineering Equation Solver

How do you solve an equation with EES?

EES is a general equation- solving program capable of solving hundreds of non-linear algebraic and differential equations.

EES has built-in functions for the thermodynamic and transport properties of many substances and the capability for you to easily add your own functions.

EES can do regression and optimization.

The following will demonstrate how to solve simultaneous equations using EES.

The techniques used to solve the example problem may be applied to solve much more complicated problems.