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    JOURNAL OF INFORMATION, KNOWLEDGE AND RESEARCH IN

    MECHANICALENGINEERING

    OPTIMIZATION OF NATURAL REFRIGERANTS

    CARBON DIOXIDE (R744) AND AMMONIA (R717) IN

    CASCADE REFRIGERATION SYSTEM USING

    GENETIC ALGORITHM1PRASHANT VYAS, 2SATYASHREE GHODKE, 3ARUN WAMANKAR

    1 MT!"# $%&'!%, D!*+%!% -. M!"#*/"*0 E/!!+/, T!"#-"+*%$ I$%/%&%! -.

    T!"#-0-2, B#-*03 A$$-"/*%! P+-.!$$-+, D!*+%!% -. M!"#*/"*0 E/!!+/, T!"#-"+*%$ I$%/%&%! -.

    T!"#-0-2, B#-*035 A$$/$%*% P+-.!$$-+, D!*+%!% -. M!"#*/"*0 E/!!+/, T!"#-"+*%$ I$%/%&%! -.

    T!"#-0-2, B#-*03

    vyasprashantdyah!!"#!"$n, %h!d&'"satyashr''yah!!"#!(, ar)n"*a(an&ar%(a$+"#!(

    ASTRA-T : Selections of refrigerants is of vital importance in refrigeration & thus the present work deals

    with optimization of cascade refrigeration system using eco friendly & natural refrigerants pair

    Ammonia(R717 in high temperature side and !ar"on #io$ide (R7%% in low temperature applications 'hese

    refrigerants have zero ozone depletion potential and less than 1 )* +ptimization of !ar"on #io$ide (R7%%

    & Ammonia (R717 cascade refrigeration system performance parameters such as refrigeration effect,

    coefficient of performance and e$ergetic efficiency was carried out using enetic Algorithm tool

    KEY WORDS- -as#ad' R'.r$%'rat$!n Syst'(, G'n't$# A+%!r$th(, R/001R//

    13 INTRODUCTION 6 W#2 CONH5 8

    Before 1930 the refrigerants that were commonly in

    use were Ammonia, Carbon Dioxide, Sulhur

    Dioxide, !hane " roane# During 1930s $Safety%efrigerants& were introduced rimarilyChloroflurocarbons 'C(Cs) such as %11, %1* " %13

    and +ydrochloroflurocarbons '+C(Cs) such as %**and %0* which relaced all refrigerants# -hen the

    disastrous effect of C(Cs " +C(Cs on o.one layerwas disco/ered during 190s leading to hase out of

    C(Cs by 1990 and +C(Cs by *000#

    +ydroflurocarbon '+(Cs) do not directly damageo.one layer but they are Synthetic greenhouse gases

    'S22s) with 2lobal warming otential# -hese

    refrigerants ha/e been hased out in de/eloedcountries as er ontreal 4rotocol from 5nited

    6ations !n/ironment 4rogramme '56!4) 71,*8#any industrial alications reuiring simultaneous

    heating and cooling and cascade systems aear to bethe best alternati/e# A suitable selection of

    refrigerants used in +- and :- cycles can ro/ide alarge temerature difference and good system

    efficiency# Single stage and multi stage refrigerationsystems fail to widen the ga between heat source

    and heat sin; temeratures reuired in odestresearch has been done in cascade systems based on

    natural refrigerants thereby offering good otentialfor research#

    Ammonia can be used in high temerature stage andcarbon dioxide can be used in low temerature stage

    in two stage cascade refrigeration, for which the

    lowest refrigeration temerature is limited abo/e ) wasreorted to be used as a cascade refrigerant for

    achie/ing temeratures around

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    JOURNAL OF INFORMATION, KNOWLEDGE AND RESEARCH IN

    MECHANICALENGINEERING

    reresentation and measures the uality of thereresented solution# -he fitness function is always

    roblem deendent# (or instance, in the ;nasac;roblem one wants to maximi.e the total /alue of

    obGects that can be ut in a ;nasac; of some fixedcaacity# A reresentation of a solution might be an

    array of bits, where each bit reresents a differentobGect, and the /alue of the bit '0 or 1) reresents

    whether or not the obGect is in the ;nasac;# 6ote/ery such reresentation is /alid, as the si.e of

    obGects may exceed the caacity of the ;nasac;# -he

    fitness of the solution is the sum of /alues of all

    obGects in the ;nasac; if the reresentation is /alid,

    or 0 otherwise# n some roblems, it is hard or e/enimossible to define the fitness exressionH in these

    cases, interacti/e genetic algorithms are used#

    >nce we ha/e the genetic reresentation and thefitness function defined, 2A roceeds to initiali.e a

    oulation of solutions randomly, then imro/e it

    through reetiti/e alication of mutation, crosso/er,in/ersion and selection oerators#I/%/*0/@*%/-

    nitially many indi/idual solutions are randomlygenerated to form an initial oulation# -he

    oulation si.e deends on the nature of the roblem,but tyically contains se/eral hundreds or thousands

    of ossible solutions#-raditionally, the oulation is generated randomly,

    co/ering the entire range of ossible solutions 'thesearch space)# >ccasionally, the solutions may be

    IseededI in areas where otimal solutions are li;elyto be found#

    S!0!"%/-During each successi/e generation, a roortion ofthe existing oulation is selected to breed a new

    generation# ndi/idual solutions are selected through

    a fitness."ased rocess, where fitter solutions 'asmeasured by a fitness function) are tyically more

    li;ely to be selected# Certain selection methods ratethe fitness of each solution and referentially select

    the best solutions# >ther methods rate only a randomsamle of the oulation, as this rocess may be /ery

    time

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    JOURNAL OF INFORMATION, KNOWLEDGE AND RESEARCH IN

    MECHANICALENGINEERING

    Start

    (itness (unction

    !stimating ranges for /ariables

    nitial 4oulation

    !/aluation J (itness Crosso/er and mutation

    Comuting

    Selection of arents

    -ermination 6o

    Criterion M

    yes

    Choose the bestndi/idual

    Sto

    (ig#3 (low chart of 2enetic Algorithm

    A Ranges of the /aria"les!ight /arious temeratures of +- and :- cycles ha/ebeen considered as indeendent /ariables with

    redefined range as shown in the table( !2+-FA%AB:!S

    !ight /ariables 'C) -emerature%ange '=C)

    :o

    wer

    +igher

    :ow side e/aorator temerature, A

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    JOURNAL OF INFORMATION, KNOWLEDGE AND RESEARCH IN

    MECHANICALENGINEERING

    0 10 20 30 40 50 60 70 80 90 100-650

    -600

    -550

    -500

    Generation

    Fitnessvalue

    Best: -604.3216 Mean: -603.7781

    1 2 3 4 5 6 7 8-40

    -20

    0

    20

    40

    Number of variables (8)

    Currentbestindividual

    Current Best Individual

    Best fitness

    Mean fitness

    (ig# Best (itness 4lot for %!1 of the Cascade

    System

    (ig# shows the best fitness /alue lot searched by2enetic Algorithm for the %!1 of the cascade

    refrigeration system#" Opt$($at$!n !. th' -OP !. th' -as#ad' Syst'(

    3 G-!+/ !&*%/- .-+ COP

    !+*85%1644885(A.44%%9(.44%31(!

    6444%2(#644138(0644848(;.44443(

    .44447(%

    C>4A B C D E F G H COP

    59 9 93994 3

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    JOURNAL OF INFORMATION, KNOWLEDGE AND RESEARCH IN

    MECHANICALENGINEERING

    searched by 2A tool# According to thesecombinations, /alue of %!1 is maximum if system

    oerate with -!: P D4 >.one deletion otential= REFERENCES

    718 ontreal 4rotocol on substances that delete the

    o.one layer# 5nited 6ations !n/ironment rogramme'56!4), 19@#7*8 56!4 Assessment reort of the technology and

    economic assessment anel, 56!4 >.oneSecretariat, 6airobi, Renya

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    JOURNAL OF INFORMATION, KNOWLEDGE AND RESEARCH IN

    MECHANICALENGINEERING

    Rhurana, %#R#, Sar;ar, #, *00# >timi.ation of aC>*.a, 4#%#-ailor,

    -hermodynamic analysis and otimi.ation of

    %0A