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Ing. Patrick Schwarzbauer Solar thermal organic Rankine cycle (ORC) %------------------------------------- -------------------------------------- -------------------------------------- ------------------ %Calculation of enthalpy of the liquid %------------------------------------- -------------------------------------- -------------------------------------- ------------------ %Calculation of enthalpy of the preheated liquid (x=0) t6 = Table_h(:,2); %Capture the table headers t = t6(1:length(t6)); %fix the first NaN value t = repmat(t,1,sl-1); %make the headers a matrix that repeats t = t(:)'; %creates a vector out of matrix p6 = Table_h(:,1); %Capture the labels for each row p = p6(1:length(p6))'; %fix the first NaN value p = repmat(p,1,sl-1); %make the headers a matrix that repeats h = Table_h(:,3); %h = Table_h(3:sl,2:sl); %Just the enthalpy values %h = reshape(h,1,length(h)^2); %turn the matrix of h values into a long vector h= h(:)'; %creates a vector out of matrix % Now we have 3 long vectors that contain pressure, temperature and % enthalpy. to find the closest point to our target values we can use % minimization of residuals p_find=17; %pressure of the preheated liquid T_find=60; %temperature of the preheated liquid r = (p- repmat(p_find,1,length(p))).^2 + (t- repmat(T_find,1,length(t))).^2; % Find the smallest residual [m,i] = min(r); %the index, i, now represents the point closest to the value we are trying to look up. h6 = interp1([p(i) p(i+1)],[h(i) h(i+1)],p_find,'linear') %finds the value for enthalpy %------------------------------------- -------------------------------------- fluid at the inlet %evaporator t5 = Table_h(:,2); %Capture the table of the headers t = t5(1:length(t5)); %fix the first NaN value t = repmat(t,1,sl-1); %make the headers a matrix that repeats t = t(:)'; %creates a vector out of matrix p5 = Table_h(:,1); %Capture the labels for each row p = p5(1:length(p5))'; %fix the first NaN value p = repmat(p,1,sl-1); %make the headers a matrix that repeats h = Table_h(:,3); %h = Table_h(3:sl,2:sl); %Just the enthalpy values %h = reshape(h,1,length(h)^2); %turn the matrix of h values into a long vector h= h(:)'; %creates a vector out of matrix % Now we have 3 long vectors that contain pressure, temperature and % enthalpy. to find the closest point to our target values we can use % minimization of residuals p_find=17; %pressure of the liquid refrigerant T_find=25; %temperature of the liquid refrigerant r = (p- repmat(p_find,1,length(p))).^2 + (t- repmat(T_find,1,length(t))).^2; % Find the smallest residual [m,i] = min(r); %the index, i, now represents the point closest to the value we are trying to look up. h5 = interp1([p(i) p(i+1)],[h(i) h(i+1)],p_find,'linear') %finds the value for enthalpy -23-PDF Image | Solar thermal organic Rankine cycle (ORC)
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