Detailed Environmental Assessment of Chemical Process...
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David R. ShonnardDepartment of Chemical Engineering
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Detailed Environmental Assessment of Chemical Process Flowsheets - Chapter 11
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Outline
l Educational goals and topics covered in the module
l Review of risk assessment concepts
l Introduction to environmental multimedia models
l Tier III environmental impact assessment for chemical process flowsheets
After the completing flowsheet input output structure, unit operation designations, and mass/heat integration, the last step for improving the environmental performance of a chemical process design is a detailed
environmental impact assessment of a process flowsheet
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Educational goals and topics covered in the module
Students will:l learn to apply a systematic risk assessment methodology to the
evaluation of chemical process designs
l integrate emission estimation, environmental fate and transport calculation, and relative risk assessment to rank process design alternatives
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Design Stage P2 Tools Environmental Evaluation
Book Chapter
1. Earliest Design Stage
• Green Chemistry • atom efficiency
Tier 1 (persistence, bioaccumulation, toxicity)
7, 8
2. Preliminary Design Stage
Release estimation, optimum choice of • mass separating agents • process units • processing conditions
Tier 2 (material usage, energy consumption, emission of targeted pollutants)
8, 9
3. Detailed Design Stage
• Process integration methods • multimedia environmental fate modeling • relative risk assessment
Tier 3 (environmental fate and transport, relative risk assessment)
10, 11
Review of the hierarchical design process for pollution prevention
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Essential features of environmental impact assessment for process design
Computationally efficient→ Environmental performance indices to be quickly calculated
using output from commercial process simulators
→ Multiple environmental impacts considered
Link waste generation and release to environmental impacts→ Environmental indices linked to process parameters
Impacts based on a systematic risk assessment methodologyRelease estimates → fate and transport → exposure → risk
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Systematic risk assessment methodology
National Academy of Sciences, 1983
1. Hazard Identification (which chemicals are important?)
2. Exposure assessment (release estimation, fate and transport, dose assessment)
3. Toxicity assessment (chemical dose - response relationships)
4. Risk Characterization (magnitude and uncertainty of risk)
Result: Quantitative risk assessment (e.g. excess cancers)
Thibodeaux, L.J. 1996, Environmental Chemodynamics, John Wiley & Sons
Atmospheric dispersion Model, Ca (mg/m3)
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Carcinogenic Risk Example (inhalation route)
Quantitative risk calculation
Riski = (Ca × CR × EF × ED)
(BW × AT)× SF
i
Exposure DoseDose - Response Relationship,Slope Factor (mg/(kg•d))-1
CR - contact rate (m3 air inhaled / day)EF - exposure frequency (days exposed / yr)ED - exposure duration (yr)BW - body weight (kg)AT - averaging time (number of days in a lifetime)
Result: # excess cancers per 106 cases in the population; 10-4 to 10-6 acceptable
Disadvantage: Only a single compartment is modeled / Computationally inefficientHighly uncertain prediction of risk
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Carcinogenic Risk Example (inhalation route)
Relative risk calculation
Relative Risk =
(Ca × CR × EF × ED)
(BW × AT)× SF
i
(Ca × CR × EF × ED)(BW × AT)
× SF
Benchmark
= Ca × SF[ ]i
Ca × SF[ ]Benchmark
Result: Risk of a chemical relative to a well-studied benchmark compound
Advantage: If C is calculated for all compartments using a multimedia compartment model, computationally efficient
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Tier 3 Relative risk index formulation for one environmental impact category
Exposure Potential Inherent Impact Parameter
Chemical “i”Benchmark Compound
Dimensionless Risk Index (Ii*) =
[(EP)(IIP)]i
[(EP)(IIP)]B
Process Index (I) = (Ii* ) ×
i = 1
N
∑ (mi)EmissionRate ofChemical, i
Chemical Specific
Process
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Airborne emissions estimation –chapter 8
oo Unit Specific EPA Emission Factorsnn Distillation/stripping column ventsn Reactor ventsn Fugitive sources
oo Correlation (AP- 42, EPA)n Storage tanks, wastewater treatmentn Fugitive sources (pumps, valves, fittings)
o Criteria Pollutants from Utility Consumptionn Factors for CO2, CO, SO2, NOx, n AP- 42 (EPA) factors
o Process Simulators (e.g. HYSYS)
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Model Domain Parameters• surface area - 104 -105 km2
• 90% land area, 10% water• height of atmosphere - 1 km• soil depth - 10 cm• depth of sediment layer - 1 cm• multiphase compartments
Multimedia compartment model Processes modeled• emission inputs, E• advection in and out, DA• intercompartment mass transfer,Di,j
• reaction loss, DR
Multimedia compartment model formulation -Chapter 11.2
Mackay, D. 1991, ”Multimedia Environmental Models", 1st edition,, Lewis Publishers, Chelsea, MI
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Fugacity - a thermodynamic property of a chemical and represents the “escaping tendency” of the chemical from an environmental phase (air, water, or solid) and has units of pressure (Pa).
At equilibrium, the fugacity of a chemical in one phase is equalto the fugacity of the chemical (i) in the adjoining phasefor example:
fi (air) = fi (water)
Also, the fugacity is related to the molar concentration using the fugacity capacity, Z
Ci (air) = fi Z(air)
Multimedia compartment model –fugacity
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Fugacity of a chemical in airf = y φ PT ≈ P
y = mole fraction of the chemical in air
φ = fugacity coefficient - accounts for non-ideal behavior (≈ 1)
PT = total pressure in the air (Pa)
P = partial pressure of the chemical in air (Pa)
Ideal Gas Law
C1 = n/V = P/(RT) = f/(RT) = f Z1
Z1 = 1/(RT)
Fugacity capacity of the air
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Table 11.2-1 Fugacity Capacities (Z) Values for the Various Phases and Compartments Environmental Phases Phase Densities (kg/m3) Air Phase Z1 = 1/(R T) 1.2 Water Phase Z2 = 1/H 1,000 Soil Phase Z3 = [1/H] Koc φ3 ρi /1000 2,400 Sediment Phase Z4 = [1/H] Koc φ4 ρ4 /1000 2,400 Suspended Sediment Phase Z5 = [1/H] Koc φ5 ρ5 /1000 2,400 Fish Phase Z6 = [1/H] 0.048 ρ6 Kow 1,000 Aerosol Phase Z7 = [1/(R T)] 6x106/PS
L
where R = gas constant (8.314 Pa• m3/[mole•K]) T = absolute temperature (K) H = Henry's constant (Pa•m3/mole) Koc = organic-carbon partition coefficient Kow = octanol-water partition coefficient ρi = phase density for phase i (kg/m3) φi = fraction of organic carbon in phase i (g/g) Environmental Compartments Air Compartment (1) ZC1 = Z1 + 2x10-11 Z7 Water Compartment (2) ZC2 = Z2 + 5x10-6 Z5 + 10-6 Z6 Soil Compartment (3) ZC3 = 0.2 Z1 + 0.3 Z2 + 0.5 Z3 Sediment Compartment (4) ZC4 = 0.8 Z2 + 0.2 Z4
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Intermedia transport
DiffusionNij = Dij (fi) (moles/h)
Dij = diffusion transport parameter from compartment i to j (moles/(Pa•hr))
fi = fugacity of a chemical in environmental compartment i (Pa)
Convection
N = GZf (moles/h)
G = volumetric flow rate of material (rainwater, suspended sediment, )
f = fugacity of a chemical in the transported phase i (Pa)
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Table 11.2-3. D Values in the Mackay Level III model (Adapted from Mackay andPaterson, 1991)
Compartment Process Individual D
air (1) - water (2) diffusion DVW = 1/(1/( u1AWZ1) + 1/(u2AWZ2))rain wash out DRW = u3AWZ2
wet/dry deposition DQW = u4AWZ7
air (1) - soil (3) diffusion DVS = 1/(1/(u5ASZ1) + 1/(( u6ASZ2) +(u7ASZ1)))
rain wash out DRS = u3ASZ2
wet/dry deposition DQW = u4ASZ7
water (2) - sediment (4) diffusion u8AWZ2
deposition u9AWZ5
sediment (4) - water (2) diffusion u8AWZ2
resuspension u10AWZ4
soil (3) - water (2) water runoff u11ASZ2
soil runoff u12ASZ3
advection (bulk flow) emissions andbulk flow in Ii = Ei + GAiCBi
bulk flow out DAi = GAiZCi
reaction DRi = kRi Vi ZCi
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Table 11.2-4. Mole Balance Equations for the Mackay Level III Fugacity Model
Air I1 + f2D21 + f3D31 = f1DT1
Water I2 + f1D12 + f3D32 + f4D42 = f2DT2
Soil I3 + f1D13 = f3DT3
Sediment I4 + f2D24 = f4DT4
where the left hand side is the sum of all gains and the right hand side is the sum of alllosses, Ii = Ei + GaiCCi, I4 usually being zero. The D values on the right hand side are;
DT1 = DR1 + DA1 + D12 + D13
DT2 = DR2 + DA2 + D21 + D24
DT3 = DR3 + DA3 + D31 + D32
DT4 = DR4 + DA4 + D42
The solution for the unknown fugacities in each compartment is;
f2 = (I2 + J1J4/J3 + I3D32/DT3 + I4D42/DT4) / (DT2 - J2J4/J3 - D24 D42/ DT4)f1 = (J1 + f2J2)/J3
f3 = (I3 + f1D13)/DT3
f4 = (I4 + f2D42)/DT4
where J1 = I1/ DT1 + I3 D31/(DT3DT1)J2 = D21/DT1
J3 = 1 - D31D13/(DT1 DT3)J4 = D12 + D32D13/DT3
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Multimedia prediction for benzene, ethanol, and pentachlorophenol
Mackay’s “level III” modelEmission scenario a)
Emission scenario b)
Emission scenario c)
1000 kg/hr
1000 kg/hr
1000 kg/hr
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Multimedia compartment model input data
Environmental Property
Unit
Spreadsheet Location
Benzene
Ethanol
PCP
Molecular Weight g/mole C6 78.11 46.07 266.34
Melting Point ˚C C7 5.53 115 174
Dissociation Constant log pKa C8 4.74
Solubility in Water g/m3 C11 1.78E+2 6.78E+5 14
Vapor Pressure Pa C12 1.27E+4 7.80E+3 4.15E-3
Octanol-Water Coefficient log Kow C13 2.13 -0.31 5.05
Half-life in air hr C33 1.7E+1 5.5E+1 5.50E+2
Half-life in water hr C34 1.7E+2 5.5E+1 5.50E+2
Half-life in soil hr C35 5.5E+2 5.5E+1 1.7E+3
Half-life in sediment hr C36 1.7E+3 1.7E+2 5.50E+3
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Multimedia compartment model typical results
Chemical Percentage (%)
(emission scenario) Total mass(kg)
Air Water Soil Sediment
Benzene (a) 1.98x104 99.59 0.29 0.12 1.0x10-3
Benzene (b) 1.41x105 4.48 95.17 5.5x10-3 0.35
Benzene (c) 6.86x104 20.61 1.61 77.78 5.8x10-3
Ethanol (a) 4.56x104 92.87 3.85 3.28 2.9x10-3
Ethanol (b) 7.35x104 0.22 99.7 7.8x10-3 0.08
Ethanol (c) 7.84x104 0.92 5.64 93.42 0.02
Pentachlorophenol (a) 2.07x106 0.26 2.56 97.07 0.11
Pentachlorophenol (b) 4.59x105 7.2x10-5 96.19 0.03 3.78
Pentachlorophenol (c) 2.39x106 2.9x10-4 0.54 99.44 0.02
(a) 1000 kg/hr emitted into the air compartment(b) 1000 kg/hr emitted into the water compartment(c) 1000 kg/hr emitted into the soil compartment
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1. The percentages in each environmental compartment depend upon the emission scenarioa) the highest air concentrations result from emission into the air
b) the highest water concentrations are from emission into water
c) the highest soil concentrations are from emission into soild) highest sediment concentrations are from emission into water
2. Chemical properties dictate percentages and amountsa) high KH results in high air concentrationsb) high KOW results in high soil concentrationsc) high reactions half lives results in highest pollutant amounts
Multimedia compartment model typical results - interpretations
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Tier 3 Relative risk index formulation for one environmental impact category- Ch 11.3
Exposure Potential Inherent Impact Parameter
Chemical “i”Benchmark Compound
Dimensionless Risk Index (Ii*) =
[(EP)(IIP)]i
[(EP)(IIP)]B
Process Index (I) = (Ii* ) ×
i = 1
N
∑ (mi)EmissionRate ofChemical, i
Chemical Specific
Process
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Nine Environmental Impact /Health Indexes
Relative Risk Index Equation
IGW ,i* = GWPi
Global Warming
IGW ,i* = NC
MWCO2
MWi
Ozone Depletion
IOD,i* = ODPi
Smog Formation
ISF,i* =
MIRi
MIRROG
Acid Rain
IAR,i* =
ARPi
ARPSO2
GWP = global warming potential, NC = number of carbons atoms, ODP = ozone depletion potental, MIR = maximum incremental reactivity, ARP = acid rain potential.
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Relative Risk Index Equation
Human Toxicity Ingestion Route I*
ING =CW ,i LD50, Toluene
CW ,Toluene LD50,i
Human Toxicity Inhalation Route I*
INH =CA, i LC50,Toluene
CA, Toluene LC50,i
Human Carcinogenicity Ingestion Route
I*CING =
CW ,i HVi
CW ,BenzeneHVBenzene
Human Carcinogenicity Inhalation Route
I*CINH =
CA, i HVi
CA,BenzeneHVBenzene
Fish Toxicity
I*FT =
CW,i LC50 f , PCP
CW, PCP LC50 f ,i
LD50 = lethal dose 50% mortality, LC50 = lethal concentration 50% mortality, and HV = hazard value for carcinogenic health effects.
Nine Environmental Impact /Health Indexes
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MultiMulti--Criteria Decision Analysis Criteria Decision Analysis
. . . . . . . . . . Chemical I1 InI2
EmissionRate
AABBCC
nn . . . . . . . . . .
ReportReport
Process Simulator OutputProcess Simulator Outputor Conceptual Designor Conceptual Design
EFRATEFRAT
. . . . . . . . . .
. . . . . . . . . . MS ExcelMS Excel®®
List of Chemicals, Equipment specifications, Utility consumption, Annual throughput
Chemicals,Equipment specifications, annual throughput
Chemicals, KH, KOW
Chemicals,ττττ, LC50, HV, MIR…
Physical Properties, Toxicology, Physical Properties, Toxicology, Weather, Geographical,Weather, Geographical,
and Emission Factors Databasesand Emission Factors Databases
Air Emission Air Emission CalculatorCalculator
Chemical Partition Chemical Partition CalculatorCalculator
Relative Risk IndexRelative Risk IndexCalculatorCalculator
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Software Structure
HYSYS
EFRAT
DORT
AHP
OPTIMIZER Objective function
Environmentalindices
Economicindices
Manipulated variables
Streaminformation
SCENEv HYSYS OLE programming (Object Linking and Embedding)
v HYSYS is acting as an OLE server
v OLE controller application can access the HYSYS objects
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Environmental Fate and Risk Assessment Tool (EFRAT)• links with HYSYS for automated assessments
WAste Reduction Algorithm (WAR)• reported to be linked with ChemCAD• US EPA National Risk Management Research Laboratory
Cincinnati, OHDr. Heriberto Cabezas and Dr. Douglas YoungUS Environmental Protection AgencyNational Risk Management Research Laboratory26 W. Martin Luther King Dr.Cincinnati, OH 45268
Software tools for environmental impact assessment of process designs
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Gaseous Waste Stream Toluene & Ethyl Acetate 193.5 kg/h each; 12,000 scfm, balance N2
Vent
Vent ; 21 - 99.8 % recovery of Toluene and Ethyl Acetate
Make-up oil Absorption oil (C-14) 10 – 800 kgmole/h
50/50 Mass Mixed Product
Absorption Column
Distillation Column
Absorption - distillation process:analysis of an existing separation sequence
HYSYS Flowsheet
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Unit-specific emission summary
100 kgmole/hr Oil Flow Rate;
Oil Temperature = 82˚F; ∆∆∆∆T=180˚FWhere are the centers for energy consumption and emissions?
UNIT OPERATIONUNIT OPERATIONUNIT OPERATIONUNIT OPERATION Mass Mass Mass Mass
Flow Flow Flow Flow Toluene Toluene Toluene Toluene Ethyl Ethyl Ethyl Ethyl C-14C-14C-14C-14 SOxSOxSOxSOx NOxNOxNOxNOx COCOCOCO 2222 COCOCOCO TOCTOCTOCTOC
"METHOD" "METHOD" "METHOD" "METHOD"(kg/hr) Acetate Acetate Acetate Acetate
Absorption Absorption Absorption Absorption
Column "HYSIS"Column "HYSIS"Column "HYSIS"Column "HYSIS" 19,840 0.002 128 4.23
Distillation "emissionDistillation "emissionDistillation "emissionDistillation "emission
Column factor"Column factor"Column factor"Column factor" 259.1 0.019 0.007
Fugitive "emissionFugitive "emissionFugitive "emissionFugitive "emission
Sources factor"Sources factor"Sources factor"Sources factor" 259.1 0.062 0.062
Storage Storage Storage Storage
Tank "correlation"Tank "correlation"Tank "correlation"Tank "correlation" 259.1 0.0014 0.0014
Reboiler Reboiler Reboiler Reboiler
Energy (10Energy (10Energy (10Energy (10 6666 Btu/hr) Btu/hr) Btu/hr) Btu/hr) 6.16 3.93 0.52 499 0.129 0.007
Total Emissions (kg/hr)Total Emissions (kg/hr)Total Emissions (kg/hr)Total Emissions (kg/hr) 0.088 128.07 4.23 3.93 0.52 499 0.129 0.007
Emission rate (kgEmission rate (kgEmission rate (kgEmission rate (kg
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Risk index summary
Which chemicals have the highest impact indexes?
CompoundCompoundCompoundCompound I*I*I*I*GWGWGWGW I*I*I*I*ODODODOD I*I*I*I*SFSFSFSF I*I*I*I*ARARARAR I*I*I*I*INGINGINGING I*I*I*I*INGCINGCINGCINGC I*I*I*I*INHINHINHINH I*I*I*I*INHCINHCINHCINHC I*I*I*I*FTFTFTFT
TolueneTolueneTolueneToluene 3.34 0 0.9 0.0 1 0 1.0 0 0.02
Ethyl AcetateEthyl AcetateEthyl AcetateEthyl Acetate 2 0 0.3 0.0 9.7 0 3.3 0 0.04
SOxSOxSOxSOx 0 0 0.0 1.0 0 0 0.0 0 0.00
NOxNOxNOxNOx 40 0 0.0 0.7 0 0 0.0 0 0.00
CO2CO2CO2CO2 1 0 0.0 0.0 0 0 0.0 0 0.00
COCOCOCO 0 0 0.0 0.0 0 0 141.2 0 0.00
C-14C-14C-14C-14 3.1 0 0.0 0.0 0 0 0.0 0 0.00
TOCTOCTOCTOC 3.1 0 1.0 0.0 0 0 0.0 0 0.00
Relative Risk IndeRelative Risk IndexRelative Risk IndeRelative Risk Index
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Process environmental summary
All units in kg/yrAll units in kg/yrAll units in kg/yrAll units in kg/yr
Emission from IIIIFTFTFTFT IIIIINGINGINGING IIIIINHINHINHINH IIIIGWGWGWGW IIIISFSFSFSF IIIIARARARAR
utilityutilityutilityutility 0.00E+00 0.00E+00 1.44E+05 5.21E+06 1.70E+02 1.27E+04
absorberabsorberabsorberabsorber 4.67E+04 1.08E+07 3.73E+06 2.36E+06 3.74E+05 0.00E+00
tanktanktanktank 3.36E+00 6.43E+02 2.55E+02 2.95E+02 1.09E+02 0.00E+00
distillation columndistillation columndistillation columndistillation column 5.06E+00 6.43E+02 3.60E+02 6.82E+02 3.12E+02 0.00E+00
fugitivefugitivefugitivefugitive 3.12E+01 5.30E+03 2.35E+03 2.90E+03 1.12E+03 0.00E+00
Emission of IIIIFTFTFTFT IIIIINGINGINGING IIIIINHINHINHINH IIIIGWGWGWGW IIIISFSFSFSF IIIIARARARAR
Ethyl AcetateEthyl AcetateEthyl AcetateEthyl Acetate 4.68E+04 1.09E+07 3.73E+06 2.24E+06 3.72E+05 0.00E+00
TolueneTolueneTolueneToluene 1.92E+01 1.22E+03 1.22E+03 4.07E+03 2.11E+03 0.00E+00
TetradecaneTetradecaneTetradecaneTetradecane 0.00E+00 0.00E+00 0.00E+00 1.15E+05 1.14E+03 0.00E+00
Carbon dioxideCarbon dioxideCarbon dioxideCarbon dioxide 0.00E+00 0.00E+00 0.00E+00 4.87E+06 0.00E+00 0.00E+00
Carbon monoxideCarbon monoxideCarbon monoxideCarbon monoxide 0.00E+00 0.00E+00 1.44E+05 0.00E+00 0.00E+00 0.00E+00
Nitrogen dioxideNitrogen dioxideNitrogen dioxideNitrogen dioxide 0.00E+00 0.00E+00 0.00E+00 3.40E+05 0.00E+00 6.39E+03
Sulfur dioxideSulfur dioxideSulfur dioxideSulfur dioxide 0.00E+00 0.00E+00 0.00E+00 0.00E+00 0.00E+00 6.36E+03
TOCTOCTOCTOC 0.00E+00 0.00E+00 0.00E+00 6.51E+02 1.35E+02 0.00E+00
Process Index (I) = (Ii*) ×i = 1
N
∑ (mi )100 kgmole/hr Oil Flow Rate;
Oil Temperature = 82˚F; ∆∆∆∆T=180˚F
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VOC recovery by absorption into tetradecane (C14)
0
20
40
60
80
100
120
0 100 200 300 400 500 600
Absorber Oil Flow Rate (kgmole/hr)
Toluene Ethyl Acetate
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Environmental Index Profiles
0
500
1000
1500
2000
2500
3000
0 100 200 300 400 500
Absorber Oil Flow Rate (kgmoles/hr)
IGW
100 IAR
4 ISF
A
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Environmental Index Profiles
0
500
1000
1500
2000
2500
3000
0 100 200 300 400 500
Absorber Oil Flow Rate (kgmoles/hr)..
400 IFT
10 IINH
0.1 IING
B
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Interpretation of environmental assessment results
Risk reductions at 50 kgmole/hr flow rate→ Global Warming Index - 41% reduction → Smog Formation Index - 86 % reduction → Acid Rain Index - small increase→ Inhalation Route Toxicity Index - 78 % reduction → Ingestion Route Toxicity Index - 18 % reduction→ Ecotoxicity (Fish) Index - 19 % reduction
Absorber oil choice is not an optimum→ Oil selectively absorbs toluene, but ethyl acetate has a highervalue
Multiple indexes complicate the decision
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l Normalized Index
l Weighting of Index Categories
Normalization and Valuation of Indices
INk =
Ik
ˆ I k
Process Index
National Index
IPC = (INk × Wk )
k∑Process Composite Index
Weighting Factors
global warming 2.5ozone depletion 100smog formation 2.5acid rain 10carcinogenic 5noncarcinogenic 5ecotoxicity 10
Source: Eco-Indicator 95 framework for life cycle assessment, Pre Consultants, http://www.pre.nl
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Process Composite Index
0.000
0.001
0.002
0 100 200 300 400 500
Absorber Oil Flow Rate (kgmoles/hr) .
I PC
ISF and IING dominatethe IPC index
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l Use of EFRAT : evaluate the MA process
l Basecase (Dibutyl phthalate absorber oil) with and without heat integration
l Simulate 3 case studies using heat integrated flowsheet» Dibutyl phthalate absorber oil» Dibenzyl ether absorber oil» Diethylene glycol butyl ether acetate absorber oil
Maleic anhydride from n-butane process flowsheet evaluation
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Heat integration of the MA flowsheet
Without Heat Integration
9.70x107 Btu/hr-9.23x107 Btu/hr
2.40x107 Btu/hr
-4.08x107 Btu/hr
Reactor streams generate steam
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Maleic anhydride flowsheetwith heat integration
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Maleic anhydride from n-butane: effect of heat integration on risk indexes
IGW ISF IAR IING IINH IFT
No Heat Integration
Heat Integration1.E+04
1.E+05
1.E+06
1.E+07
1.E+08
1.E+09
1.E+10
Relative Risk Indexes
(kg/yr)
30.4%reduction
72.2%reduction
RemainingIndexes areunchanged
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IGW ISF IAR IING IINH IFT
Dibutyl Phthalate
Dibenzyl EtherDGBEA1.E+04
1.E+05
1.E+06
1.E+07
1.E+08
1.E+09
1.E+10
Relative Risk Index
(kg/yr)
Maleic anhydride from n-butane: effects of absorber oil choice
16.3%reduction
85.1%reduction
81.7%reduction
42.1%reduction
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Recap
l Review of environmental impact assessment methods
l Application of Tier 3 environmental impact assessment to a detailed flowsheet - Chapter 11 » Heat integration of the Maleic Anhydride flowsheet
» Effects of absorber oil choice for the MA flowsheet