Calculation method based on experimental data to estimate sunlight intensity falling on the solar
collector has been established. The technique is to evaluate the heat power using the specific heat formula.
Light intensity from 3 different light sources has been studied; the results gained by the method were compared
against other results directly measured using intensity meter, and both results showed good agreement. The
method shows powerful tools, which can estimate the light intensity in the lack of intensity meter. Although, the
specific heat formula has been used previously for a estimating different heat transfer purpose, however, this
method has advantage by providing approximation results in simple way, and it use to determine the
performance of flat panel solar thermal systems under variable solar flux.
Production of CH4 and C2 hydrocarbons by axial and radial pulse H2/CO2 discha...theijes
Production of methane CH4 from a mixture gas of carbon dioxide CO2 and hydrogen H2 has been established by two types of pulse discharges. One is an axial discharge with a use of thin pair Ni wire electrodes separated by a narrow gap, and the other is a coaxially radial discharge with a use of inner rod and outer tube electrodes made of stainless steel (SUS). The former provides an intense gap discharge, while the latter provides a gentle discharge in the annular region. Decomposition of CO2 is enhanced in the former case when Ni (nickel) mesh disc electrode is placed behind the gap. Ni is known as catalysis. When the radial discharge proceeds in a closed gas system, 2C hydrocarbons such as ethane and ethylene are generated in case that a cylindrical mesh electrode made of Ni is attached to the powered SUS tube electrode. Both of the CH4 production and the energy efficiency for CH4 production are enhanced in case of Ni mesh electrodes, without a use of additional heating for the Ni catalysis. Synergy effect of plasma and Ni catalyst is observed
Solution Manual for Physical Chemistry – Robert AlbertyHenningEnoksen
https://www.book4me.xyz/solution-manual-physical-chemistry-alberty/
Solution Manual for Physical Chemistry - 6th Edition
Author(s) : Robert A. Alberty
This solution manual include all chapters of textbook (1 to 21).
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Often engineers are tasked with communicating equipment specifications with suppliers, where process data needs to be exchanged for engineering quotations & orders. Any dearth of data would need to be computed for which process related queries are sometimes sent back to the process engineer’s desk for the requested data.
The following tutorial is a refresher for non-process engineers such as project engineers, Piping, Instrumentation, Static & Rotating Equipment engineers to conduct basic process calculations related to estimation of mass %, volume %, mass flow, actual & standard volumetric flow, gas density, parts per million (ppm) by weight & by volume.
Key Thermo-Physical Properties of Light Crude OilsVijay Sarathy
Process facilities are equipped with protection measures, such as pressure safety valves (PSV) & as a minimum, PSVs are sized for a fire case. To do so for a pressure vessel containing crude oil a key parameter is the Latent heat of Vaporization [Hv].
For pure components, the Joback’s Method can be employed which uses basic structural information of the chemical molecule to estimate thermo-physical data. However it can be complex for equipment that contains crude oil because the plus fractions [C7+] can contain thousands of straight chain, cyclic & functional groups. Therefore by splitting and lumping the crude fractions, a smaller number of components are arrived at, to characterize and be able to apply Equation of State (EoS) correlations to estimate the fraction’s thermo-physical properties.
Cooling Towers in Process Industries are part of Utilities design. As the name suggests their primary purpose is to provide cooling requirements to industrial hot water from unit operations & unit processes. Examples include chillers and air conditioners. The principle of operation is to circulate hot water through a tower and allow heat dissipation to the ambient. Cooling towers can operate by natural draft or forced draft methods wherein fans are used to increase heat transfer.
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This presentation describes a Large Eddy Simulation (LES) investigation into flow fields in a model gas turbine combustor equipped with a swirl burner. A probability density function was used to describe the interaction physics of chemical reaction and turbulent flow as liquid fuel was directly injected into the combustion chamber and rapidly mixed with the swirling air. Simulation results showed that heat release during combustion accelerated the axial velocity motion and made the recirculation zone more compact
Calculation method based on experimental data to estimate sunlight intensity falling on the solar
collector has been established. The technique is to evaluate the heat power using the specific heat formula.
Light intensity from 3 different light sources has been studied; the results gained by the method were compared
against other results directly measured using intensity meter, and both results showed good agreement. The
method shows powerful tools, which can estimate the light intensity in the lack of intensity meter. Although, the
specific heat formula has been used previously for a estimating different heat transfer purpose, however, this
method has advantage by providing approximation results in simple way, and it use to determine the
performance of flat panel solar thermal systems under variable solar flux.
Production of CH4 and C2 hydrocarbons by axial and radial pulse H2/CO2 discha...theijes
Production of methane CH4 from a mixture gas of carbon dioxide CO2 and hydrogen H2 has been established by two types of pulse discharges. One is an axial discharge with a use of thin pair Ni wire electrodes separated by a narrow gap, and the other is a coaxially radial discharge with a use of inner rod and outer tube electrodes made of stainless steel (SUS). The former provides an intense gap discharge, while the latter provides a gentle discharge in the annular region. Decomposition of CO2 is enhanced in the former case when Ni (nickel) mesh disc electrode is placed behind the gap. Ni is known as catalysis. When the radial discharge proceeds in a closed gas system, 2C hydrocarbons such as ethane and ethylene are generated in case that a cylindrical mesh electrode made of Ni is attached to the powered SUS tube electrode. Both of the CH4 production and the energy efficiency for CH4 production are enhanced in case of Ni mesh electrodes, without a use of additional heating for the Ni catalysis. Synergy effect of plasma and Ni catalyst is observed
Solution Manual for Physical Chemistry – Robert AlbertyHenningEnoksen
https://www.book4me.xyz/solution-manual-physical-chemistry-alberty/
Solution Manual for Physical Chemistry - 6th Edition
Author(s) : Robert A. Alberty
This solution manual include all chapters of textbook (1 to 21).
Chemical Process Calculations – Short TutorialVijay Sarathy
Often engineers are tasked with communicating equipment specifications with suppliers, where process data needs to be exchanged for engineering quotations & orders. Any dearth of data would need to be computed for which process related queries are sometimes sent back to the process engineer’s desk for the requested data.
The following tutorial is a refresher for non-process engineers such as project engineers, Piping, Instrumentation, Static & Rotating Equipment engineers to conduct basic process calculations related to estimation of mass %, volume %, mass flow, actual & standard volumetric flow, gas density, parts per million (ppm) by weight & by volume.
Key Thermo-Physical Properties of Light Crude OilsVijay Sarathy
Process facilities are equipped with protection measures, such as pressure safety valves (PSV) & as a minimum, PSVs are sized for a fire case. To do so for a pressure vessel containing crude oil a key parameter is the Latent heat of Vaporization [Hv].
For pure components, the Joback’s Method can be employed which uses basic structural information of the chemical molecule to estimate thermo-physical data. However it can be complex for equipment that contains crude oil because the plus fractions [C7+] can contain thousands of straight chain, cyclic & functional groups. Therefore by splitting and lumping the crude fractions, a smaller number of components are arrived at, to characterize and be able to apply Equation of State (EoS) correlations to estimate the fraction’s thermo-physical properties.
Cooling Towers in Process Industries are part of Utilities design. As the name suggests their primary purpose is to provide cooling requirements to industrial hot water from unit operations & unit processes. Examples include chillers and air conditioners. The principle of operation is to circulate hot water through a tower and allow heat dissipation to the ambient. Cooling towers can operate by natural draft or forced draft methods wherein fans are used to increase heat transfer.
LES Analysis on Confined Swirling Flow in a Gas Turbine Swirl BurnerROSHAN SAH
This presentation describes a Large Eddy Simulation (LES) investigation into flow fields in a model gas turbine combustor equipped with a swirl burner. A probability density function was used to describe the interaction physics of chemical reaction and turbulent flow as liquid fuel was directly injected into the combustion chamber and rapidly mixed with the swirling air. Simulation results showed that heat release during combustion accelerated the axial velocity motion and made the recirculation zone more compact
its a solution of a book whichn is uesd to help solving numerical problemmmmmmmmmmmmapapakdodoodjcjwojfojwojofhiwhdhwdhkjwdjwjdwjdkjwdjwdwidwdwdiwjdkwjdjwdjwdjjwdkxdkjksjdkjsdkksjdksjdjiufyutydowowdkjdiwhwhdwdguhhhsdkdkjhhhhhhjjjhaunhjjjkjkkkdkhhdjsdjjdjsjsjdghfgdgvdjhjadjdjsadjhsdijagsykhsdgkjhhhgd
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CO2 capture from offshore gas turbines using supersonic gas separation - presentation by Kristin Jordal of SINTEF Energy Research at the UKCCSRC Natural Gas CCS Network Meeting at GHGT-12, Austin, Texas, October 2014
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Similar to IA data based, boiling point estimation for structural isomers using molecular weight, carbon chain and carbon fraction. (20)
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
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Safalta Digital marketing institute in Noida, provide complete applications that encompass a huge range of virtual advertising and marketing additives, which includes search engine optimization, virtual communication advertising, pay-per-click on marketing, content material advertising, internet analytics, and greater. These university courses are designed for students who possess a comprehensive understanding of virtual marketing strategies and attributes.Safalta Digital Marketing Institute in Noida is a first choice for young individuals or students who are looking to start their careers in the field of digital advertising. The institute gives specialized courses designed and certification.
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Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
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http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
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Digital Artifact 2 - Investigating Pavilion Designs
IA data based, boiling point estimation for structural isomers using molecular weight, carbon chain and carbon fraction.
1. Which model is a better predictor, using molecular weight (MW) or number of carbon
chain (CC) or carbon fraction (CF) or (CF + MW) model for b/p prediction of structural
isomers with 6, 7, 8 carbons.
Is number carbon chains, molecular weight, carbon fraction a good predictor Independent variable
Dependent
variable
Data Handbook. Click here data
IA secondary data based – Simple regression analysis for boiling point estimation
Research Question
Use 5- 25 carbon chains for regression model
Use regression eqn to estimate the b/p for structural isomers
Find the % error using expt values with predicted values.
Using molecular weight 3rd order as estimator for b/p.
Using carbon chain 3rd order as estimator for b/p.
Using carbon fraction power fit as estimator for b/p.
Using CF and MW model as estimator for b/p
Molecular
formula
Number
carbon
Molecular
weight
Carbon
fraction
Boiling
point
CH4 1 16 0.2 -161.5
C2H6 2 30 0.25 -89.42
C3H8 3 44.1 0.272 -42
C4H10 4 58.12 0.285 -1
C5H12 5 72.15 0.294 36
C6H14 6 86.18 0.3 69
C7H16 7 100.21 0.304 98.4
C8H18 8 114.23 0.307 114.23
C9H20 9 128.2 0.31 128.2
C10H22 10 142.28 0.3125 142.28
Molecular
formula
Number
carbon
Molecular
weight
Carbon
fraction
Boiling
point
CH4 1 16 0.2 -161.5
CH4 = carbon fraction =
1 𝑐𝑎𝑟𝑏𝑜𝑛
1 𝑐𝑎𝑟𝑏𝑜𝑛+4 ℎ𝑦𝑑𝑟𝑜𝑔𝑒𝑛
=
1
5
= 0.2
Boiling point = 49.5(carbon fractions)0.2791 x (molecular weight)0.5039 - 273
This model is based on density function theory and polarized continuum model
done by researcher. Click here to more info
2. Isomerism
Molecules with same molecular formula but diff arrangement of atom
Two types of Isomerism
Positional Chain Isomer Functional Gp Isomer
C – C – C – C – OH
C4H10O1
Structural Isomerism
• Same molecular formula
• Diff structural formula
• Diff arrangement of atom
Diff hydrocarbon chain skeleton
• Same molecular formula
• Same structural formula
• Diff spatial arrangement of atom
Stereoisomerism
Hydrocarbon Chain Isomer
Diff functional gp position Diff functional gp
C – C – C – OH
׀
CH3
C – C – C –C
׀
OH
C – C – C – C
׀
OH
C – C – C – C
׀
OH
C – C – C – O – C
Optical Isomer
Geometric Isomer
Isomer Physical
property
Chemical
property
Structural isomer
- Hydrocarbon chain
- Functional gp position
- Functional gp
Different
Different
Different
Similar
Similar
Different
Geometrical isomer Different Similar
Optical isomer Similar Similar
Structural formula – arrangement atoms in molecule (2/3D)
H H
׀ ׀
H - C – C – H
׀ ׀
H H
CH3CH3
ethane
Display full SF Condensed SF Ball/stick model Spacefilling
Click here chemical search.
Data source for b/p
Data PubChem. Click here
Data PubChem. Click here
Data Handbook. Click here data
6. MW 3rd order as predictor for b/p CC 3rd order as predictor for b/p
CF power fit as predictor for b/p
Research Question
Use 5- 25 carbon chains for regression model
Use regression to estimate the b/p for structural isomers
Using MW 3rd order as estimator for b/p.
Using CC 3rd order as estimator for b/p.
Using CF power fit as estimator for b/p.
Using CF and MW model as estimator for b/p
y = 6E-06x3 - 0.0064x2 + 3.0855x - 153.76
R² = 0.9998
0
100
200
300
400
500
0 50 100 150 200 250 300 350 400
b/p
molecular weight
molecular weight vs b/p
3rd order fit
b/p = 0.000006x3 – 0.0064x2 + 3.0855x – 153.76
y = 0.0171x3 - 1.2705x2 + 43.433x - 155.23
R² = 0.9992
0
100
200
300
400
500
0 5 10 15 20 25 30
b/p
number of carbon chains
number of carbon chains vs b/p
3rd order fit
b/p = 0.0171x3 – 1.2705x2 + 43.433x – 155.23
y = 5E+13x22.772
R² = 0.9932
0
200
400
600
0.29 0.295 0.3 0.305 0.31 0.315 0.32 0.325 0.33
b/p
carbon fraction
carbon fraction vs b/p
power fit
b/p = 5 x 1013 x22.772
Boiling point = 49.5(carbon fractions)0.2791 x (molecular weight)0.5039 - 273
This model is based on density function theory and polarized continuum
model done by researcher. Click here to more info
CF and MW model as predictor for b/p
7. Predict b/p carbon 6 –CC -6
3rd order fit, y = 0.0171x3 – 1.2705x2 + 43.433x – 155.23
b/p=0.0171(6)3 – 1.2705(6)2 + 43.433(6) – 155.23 = 63
Predict b/p carbon 6 – carbon fraction CF – 0.3
power fit, y = 5 x 1013 x22.772
b/p= 5 x 1013 (0.3)22.772 = 66
Predict b/p carbon 6 – MW 86.18
3rd order fit, y = 0.000006x3 – 0.0064x2 + 3.0855x – 153.76
0.000006(86.18)3 – 0.0064(86.18)2 + 3.0855(86.18) – 153.76 = 68
Predict b/p carbon 6 – carbon fraction – 0.3, MW – 86.18
b/p = 49.5(carbon fractions)0.2791 x (molecular weight)0.5039 – 273
b/p = 49.5(0.3)0.2791 x (86.18)0.5039 – 273 = 61
Research Question
Use regression to predict b/p for structural isomers, 6 carbons
Using MW 3rd order as predictor for b/p.
Using CC 3rd order as predictor for b/p.
Using CF power fit as predictor for b/p.
Using CF and MW model as predictor for b/p
Structural Isomers
6 carbons
b/p
predict
using MW
(% error)
predict
using CC
(% error)
predict
using CF
(% error)
predict using
MW + CF
(% error)
hexane 69
2-methylpentane 60
3 -methylpentane 63
2,2 -dimethylbutane 50
2,3 -dimethylbutane 58
Min b/p 50
Max b/p 69
Mean b/p 60 68 (13%) 63 (5%) 66 (10%) 61 (1.6%)
% error =
(𝑬𝒙𝒑𝒕 𝒗𝒂𝒍𝒖𝒆 −𝑷𝒓𝒆𝒅𝒊𝒄𝒕𝒆𝒅 𝒗𝒂𝒍𝒖𝒆)
𝑬𝒙𝒑𝒕 𝒗𝒂𝒍𝒖𝒆
x 100%
% error =
(𝟔𝟎 −𝟔𝟖)
𝟔𝟎
x 100% = 13%
8. Structural Isomers
7 carbons
b/p
predict
using MW
(% error)
predict
using CC
(% error)
predict
using CF
(% error)
predict using
MW + CF
(% error)
heptane 98
2-methylhexane 90
3 -methylhexane 92
3 -ethylpentane 94
2,2 -dimethylpentane 79
2,3 -dimethylpentane 90
2,4 -dimethylpentane 80
3,3 -dimethylpentane 86
2,2,3 - trimethylbutane 81
Min b/p 80
Max b/p 98
Mean b/p 88 97 (10%) 92 (5%) 89 (1%) 89( 1%)
Predict b/p carbon 7 –CC -7
3rd order fit, y = 0.0171x3 – 1.2705x2 + 43.433x – 155.23
b/p=0.0171(7)3 – 1.2705(7)2 + 43.433(7) – 155.23 = 92
Predict b/p carbon 7 – carbon fraction CF – 0.304
power fit, y = 5 x 1013 x22.772
b/p= 5 x 1013 (0.304)22.772 = 89
Predict b/p carbon 7 – MW 100.2
3rd order fit, y = 0.000006x3 – 0.0064x2 + 3.0855x – 153.76
0.000006(100.2)3 – 0.0064(100.2)2 + 3.0855(100.2) – 153.76 = 97
Predict b/p carbon 7 – carbon fraction – 0.304, MW – 100.2
b/p = 49.5(carbon fractions)0.2791 x (molecular weight)0.5039 – 273
b/p = 49.5(0.304)0.2791 x (100.2)0.5039 – 273 = 89
Research Question
Use regression to predict b/p for structural isomers, 7 carbons
Using MW 3rd order as predictor for b/p.
Using CC 3rd order as predictor for b/p.
Using CF power fit as predictor for b/p.
Using CF and MW model as predictor for b/p
% error =
(𝑬𝒙𝒑𝒕 𝒗𝒂𝒍𝒖𝒆 −𝑷𝒓𝒆𝒅𝒊𝒄𝒕𝒆𝒅 𝒗𝒂𝒍𝒖𝒆)
𝑬𝒙𝒑𝒕 𝒗𝒂𝒍𝒖𝒆
x 100%
% error =
(𝟖𝟖 −𝟗𝟕)
𝟖𝟖
x 100% = 10%
9. Predict b/p carbon 8 – carbon fraction CF – 0.307
power fit, y = 5 x 1013 x22.772
b/p= 5 x 1013 (0.307)22.772 = 105
Predict b/p carbon 8 – MW 114.2
3rd order fit, y = 0.000006x3 – 0.0064x2 + 3.0855x – 153.76
0.000006(114.2)3 – 0.0064(114.2)2 + 3.0855(114.2) – 153.76 = 124
Predict b/p carbon 8 –CC -8
3rd order fit, y = 0.0171x3 – 1.2705x2 + 43.433x – 155.23
b/p=0.0171(8)3 – 1.2705(8)2 + 43.433(8) – 155.23 =120
Predict b/p carbon 8 – carbon fraction – 0.307, MW – 114.2
b/p = 49.5(carbon fractions)0.2791 x (molecular weight)0.5039 – 273
b/p = 49.5(0.307)0.2791 x (114.2)0.5039 – 273 = 114
Structural Isomers
8 carbons
b/p
predict using
MW
(% error)
predict using
CC
(% error)
predict using
CF
(% error)
predict using
MW + CF
(% error)
2 - methylheptane 117.8
3-methylheptane 119
4 -methylheptane 117.86
3 - ethylhexane 118.68
2,2-dimethylhexane 106.99
2,3 -dimetylhexane 115.76
2,4 -dimetylhexane 109.58
2,5 -dimetylhexane 109.26
3,3 -dimetylhexane 112.12
3,4 -dimetylhexane 117.88
2 -methyl-3-
ethylpentane
115.8
3 -methyl-3-
ethylpentane
118.41
2,2,3 -
trimethylpentane
109.99
2,2,4 -
trimethylpentane
99.39
2,3,3 -
trimethylpentane
114.92
2,3,4 -
trimethylpentane
113.62
2,2,3,3 -
tetramethylbutane
106.62
Min b/p 99.39
Max b/p 119.07
Mean b/p 113.16 124 (9.5%) 120 (6%) 105 (7%) 114 (0.7%)
Research Question
Use regression to predict b/p for structural isomers, 8 carbons
Using MW 3rd order as predictor for b/p.
Using CC 3rd order as predictor for b/p.
Using CF power fit as predictor for b/p.
Using CF and MW model as predictor for b/p
% error =
(𝑬𝒙𝒑𝒕 𝒗𝒂𝒍𝒖𝒆 −𝑷𝒓𝒆𝒅𝒊𝒄𝒕𝒆𝒅 𝒗𝒂𝒍𝒖𝒆)
𝑬𝒙𝒑𝒕 𝒗𝒂𝒍𝒖𝒆
x 100%
% error =
(𝟏𝟏𝟑.𝟏𝟔 −𝟏𝟐𝟒)
𝟏𝟏𝟑.𝟏𝟔
x 100% = 9.5%
10. Structural Isomers
7 carbons
b/p
predict
using MW
(% error)
predict
using CC
(% error)
predict
using CF
(% error)
predict using
MW + CF
(% error)
Min b/p 80
Max b/p 98
Mean b/p 88 97 (10%) 92 (5%) 89 (1%) 89( 1%)
Structural Isomers
8 carbons
b/p
predict
using MW
(% error)
predict
using CC
(% error)
predict
using CF
(% error)
predict using
MW + CF
(% error)
Min b/p 99.39
Max b/p 119.07
Mean b/p 113.16 124 (9.5%) 120 (6%) 105 (7%) 114 (0.7%)
Research Question
Use regression to predict b/p for structural isomers, 6,7,8 carbons
Using MW 3rd order as predictor for b/p.
Using CC 3rd order as predictor for b/p.
Using CF power fit as predictor for b/p.
Using CF and MW model as predictor for b/p
Structural Isomers
6 carbons
b/p
predict
using MW
(% error)
predict
using CC
(% error)
predict
using CF
(% error)
predict using
MW + CF
(% error)
Min b/p 50
Max b/p 69
Mean b/p 60 68 (13%) 63 (5%) 66 (10%) 61 (1.6%)
Structural Isomers
6,7,8 carbons
Mean
b/p
predict
using MW
(% error)
predict
using CC
(% error)
predict
using CF
(% error)
predict using
MW + CF
(% error)
6 carbon isomers 60 68 (13%) 63 (5%) 66 (10%) 61 (1.6%)
7 carbon isomers 88 97 (10%) 92 (5%) 89 (1%) 89 (1%)
8 carbon isomers 113.16 124 (9.5%) 120 (6%) 105 (7%) 114 (0.7%)
% error, smallest for MW + CF model.
% error decrease as number of structural isomer increase
% error changes from 1.6% to 1% to 0.7% as structural
isomers for carbon increase from 6 to 7 to 8.