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A user workflow for combining process simulation and pinch analysis considering ecological factors

  • Benjamin H. Y. Ong , Edward J. Lucas , Donald G. Olsen EMAIL logo , Simon Roth und Beat Wellig
Veröffentlicht/Copyright: 29. April 2021
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Chemical Product and Process Modeling
Aus der Zeitschrift Chemical Product and Process Modeling Band 17 Heft 4

Abstract

This paper aims to develop an innovative and practical method to accelerate Pinch Analysis problems using a combination of process integration, process simulation tools, and life cycle assessment techniques to design effective industrial energy efficiency measures rapidly. Data extraction and analysis is accelerated using the workflow, reducing pinch analysis duration, and therefore cost. This lowers financial barriers and is expected to help facilitate an increase in the number of conducted pinch analyses each year. An innovative ecological targeting step has been included in the workflow, which represents the option for end-users to further their CO2 savings, once energy targeting has been completed on a purely cost basis. It is expected that optimizing for costs first will enable the implementation of heat recovery solutions in industry. The methodology is applied to an example case study, and the learnings from industrial application is reported.

Keywords: heat exchanger network; life cycle analysis; process integration; process optimization; process simulation
Corresponding author: Donald G. Olsen, Lucerne University of Applied Sciences and Arts, Competence Center Thermal Energy Systems and Process Engineering, Technikumstrasse 21, 6048, Horw, Switzerland, E-mail:

Funding source: Swiss Innovation Agency Innosuisse

  1. Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: This research project is financially supported by the Swiss Innovation Agency Innosuisse and is part of the SCCER EIP. Further support is provided by the Lucerne University of Applied Sciences and Arts, Switzerland.

  3. Conflict of interest statement: The authors declare no conflicts of interest regarding this article.

Appendix

Table 4:

Life cycle inventory of brazed plate heat exchanger production.

Activity name Geography Unit Brazed plate heat exchanger production Comment
Geography RER
Unit m2
Reference product Brazed plate heat exchanger production RER m2 A
Inputs from technosphere Market for steel, chromium steel 18/8, hot rolled GLO kg 0.9·m HEX (A) [29, 30, 33]
Metal working, average for chromium steel product manufacturing RER kg 0.9·m HEX (A) [33]
Market for copper GLO kg 0.1·m HEX (A) [29, 30, 33]
Market for sheet rolling, copper GLO kg 0.1·m HEX (A) [33]
Metal working, average for copper product manufacturing RER kg 0.1·m HEX (A) [33]
Table 5:

Life cycle inventory of brazed plate heat exchanger, at plant.

Activity name Geography Unit Brazed plate heat exchanger, at plant Comment
Geography CH
Unit m2
Reference product Brazed plate heat exchanger, at plant CH m2 A
Inputs from technosphere Brazed plate heat exchanger production RER m2 A
Market for corrugated board box RER kg 0.56·10−6 kg/mm2·A P (A) m ccb (A), [29, 30, 33, 38]
Market for packaging film, low density polyethylene GLO kg 0.925·10−6 kg/mm3·0.023 mm·3·A P (A) m pf (A) [29, 30, 33, 39], three layers
Market for transport, freight, lorry, unspecified RER tkm (m HEX (A) + m ccb (A) + m pf (A))/1000 kg/t·2000 km Reference [33], transport from Sweden to Switzerland
Market for waste polyethylene CH kg m pf (A) [33]
Table 6:

Life cycle inventory of operation, brazed plate heat exchanger.

Activity name Geography Unit Operation, brazed plate heat exchanger Comment
Geography CH
Unit Year
Reference product Operation, brazed plate heat exchanger CH year LT
Inputs from technosphere Brazed plate heat exchanger, at plant RER m2 A
Table 7:

Brazed plate heat exchanger specifications [28], [31].

Manufacturer Model Weight Height Width Length
(kg) (mm) (mm) (mm)
Alfa laval CB10/CBH10 0.13 + 0.04·n 191.5 73.5 7 + 2.16·n
CB11/CBH11 0.132 + 0.04·n 192 74 7.4 + 2.14·n
CB16/CBH16 0.14 + 0.04·n 209.5 73.5 7 + 2.16·n
CB18/CBH18 0.22 + 0.07·n 315.5 73.5 7 + 2.16·n
CB20 0.6 + 0.08·n 324 94 8 + 1.5·n
CB30/CBH30/CBP30 1.2 + 0.11·n 313 113 13 + 2.31·n
CB60/CBH60 2.1 + 0.18·n 527 113 13 + 2.32·n
CB62/CBH62 2.1 + 0.18·n 529 113 13 + 1.98·n
CB65/CBH65 2.1 + 0.14·n 535 120.5 11.5 + 1.4·n
CB110/CBH110/CBP110 4.82 + 0.35 · n 768 191 15 + 2.56·n
CB112/CBH112/CBP112/CBXP112 4.82 + 0.35·n 616 191 16 + 2.07·n
CB200/CBH200 12 + 0.6·n 742 324 11 + 2.7·n
CB300/CBH300 21 + 1.26·n 990 366 11 + 2.62·n
CB400 24 + 1.35·n 990 390 14 + 2.56·n
CB410 30 + 1.14·n 793 490 14.2 + 2.17·n
CBXP27 2 + 0.13·n 310 111 13 + 2.4·n
CBXP52 2.5 + 0.22·n 526 111 14 + 2.37·n
SWEP B5T 0.50 + 0.044·n 193 76 4.00 + 2.24·n
B10T 1.15 + 0.096·n 289 119 4.00 + 2.24·n
B12 1.12 + 0.12·n 287 117 4.40 + 2.34·n
B15T 1.25 + 0.104·n 468 76 4.00 + 2.24·n
B16 1.48 + 0.12·n 376 119 4.00 + 2.24·n
B28 2.09 + 0.164·n 526 119 4.00 + 2.24·n
B30 5.88 + 0.18·n 243.50 243.50 14.00 + 2.12·n
B35T 15.76 + 0.256·n 393 243 22.00 + 2.26·n
B60 16.16 + 0.47·n 374 364 16.00 + 2.14·n
B65 27.44 + 1.03·n 864 363 17.00 + 2.32·n
B80 2.09 + 0.164·n 526 119 4.00 + 2.24·n
B315 6.98 + 0.312·n 392.50 242.50 10.00 + 2.86·n
B633 80.33 + 1.224·n 830 537 61.38 + 2.39·n
B649 79.45 + 1.941·n 1232 537 45.08 + 2.09·n
Table 8:

Environmental impacts of utility systems based on eco-invent 3.5, cut-off system model [33].

Category Technology Unit Geography Cumulative energy demand total (mJ eq) Cumulative energy demand non-renewable (mJ eq) Cumulative energy demand renewable (mJ eq) CO2 equivalent (kg CO2 eq) Eco-points (UBP)
Heat Hard coal Hard coal industrial furnace 1–10 MW mJ RER w/o CH 1.28 1.26 0.02 0.138 119.6
Coke Coal coke industrial furnace 1–10 MW mJ RoW 1.34 1.32 0.02 0.153 208.9
Diesel Heat and power co-generation, 200 kW electrical, SCR-NOx reduction mJ CH 0.44 0.44 0.00 0.032 23.3
Light fuel oil Industrial furnace 1 MW mJ CH 1.37 1.36 0.01 0.090 70.1
Heavy fuel oil Industrial furnace 1 MW mJ CH 1.28 1.27 0.01 0.092 78.8
Natural gas Boiler modulating > 100 kW mJ RER w/o CH 1.25 1.24 0.00 0.069 42.5
Boiler condensing modulating > 100 kW mJ RER w/o CH 1.17 1.17 0.00 0.065 39.9
Heat and power co-generation, 200 kW electrical, lean burn mJ CH 0.48 0.48 0.00 0.030 18.9
Heat and power co-generation, 500 kW electrical, lean burn mJ CH 0.46 0.46 0.00 0.029 17.9
Heat and power co-generation, 1 MW electrical, lean burn mJ CH 0.44 0.44 0.00 0.028 17.2
Industrial furnace > 100 kW mJ RER w/o CH 1.26 1.25 0.00 0.070 43.0
Industrial furnace low-NOx > 100 kW mJ RER w/o CH 1.37 1.36 0.01 0.075 47.4
Market, district or industrial mJ CH 0.46 0.46 0.00 0.029 18.0
Other than natural gas Market, district or industrial mJ CH 0.05 0.03 0.02 0.002 2.4
Propane Industrial furnace > 100 kW mJ RoW 1.19 1.19 0.01 0.088 62.9
Solar/electric Hot water tank, flat plate, multiple dwelling MJ CH 2.39 1.55 0.84 0.024 66.2
Solar/gas Hot water tank, flat plate, multiple dwelling mJ CH 1.23 0.93 0.30 0.055 36.8
Steam Energy carrier, chemical industry mJ RER 1.56 1.52 0.04 0.103 73.8
Market, chemical industry mJ RER 1.56 1.52 0.04 0.103 73.8
Straw Furnace, 300 kW mJ GLO 0.17 0.09 0.07 0.010 57.2
Organic, furnace 300 kW mJ GLO 0.34 0.09 0.25 0.009 81.7
Waste Municipal waste incineration, generic market, district or industrial mJ CH 0.00 0.00 0.00 0.000 0.5
Wood chips Heat and power co-generation, 2000 kW mJ CH 0.88 0.03 0.85 0.003 26.6
Heat and power co-generation, 2000 kW, state-of-the-art 2014 mJ CH 0.88 0.03 0.85 0.003 21.7
Heat and power co-generation, 6667 kW mJ CH 0.72 0.02 0.69 0.002 19.3
Heat and power co-generation, 6667 kW, state-of-the-art 2014 mJ CH 0.72 0.02 0.69 0.002 16.0
Heat and power co-generation, 6667 kW, state-of-the-art 2014, label-certified mJ CH 0.72 0.02 0.69 0.002 16.0
Wood chips from industry Furnace 300 kW mJ CH 0.90 0.25 0.65 0.014 62.7
Furnace 300 kW, state-of-the-art 2014 mJ CH 0.85 0.23 0.61 0.013 46.8
Furnace 1000 kW mJ CH 0.90 0.25 0.65 0.013 56.2
Furnace 1000 kW, state-of-the-art 2014 mJ CH 0.85 0.23 0.61 0.012 46.2
Furnace 5000 kW mJ CH 0.90 0.25 0.65 0.013 51.5
Furnace 5000 kW, state-of-the-art 2014 mJ CH 0.84 0.23 0.61 0.012 38.0
Wood chips from post-consumer wood Furnace 300 kW mJ GLO 0.08 0.08 0.01 0.006 30.0
Softwood chips from forest Furnace 300 kW mJ CH 1.31 0.08 1.23 0.006 46.2
Furnace 300 kW, state-of-the-art 2014 mJ CH 1.23 0.08 1.15 0.006 31.3
Furnace 1000 kW mJ CH 1.31 0.08 1.23 0.006 38.5
Furnace 1000 kW, state-of-the-art 2014 mJ CH 1.23 0.08 1.15 0.005 29.6
Furnace 5000 kW mJ CH 1.36 0.08 1.28 0.005 34.1
Furnace 5000 kW, state-of-the-art 2014 mJ CH 1.23 0.07 1.15 0.004 26.3
Hardwood chips from forest Furnace 300 kW mJ CH 1.36 0.08 1.28 0.006 48.3
Furnace 300 kW, state-of-the-art 2014 mJ CH 1.28 0.08 1.20 0.006 33.3
Furnace 1000 kW mJ CH 1.37 0.08 1.28 0.006 42.1
Furnace 1000 kW, state-of-the-art 2014 mJ CH 1.28 0.08 1.20 0.005 33.0
Furnace 5000 kW MJ CH 1.36 0.08 1.28 0.005 37.4
Furnace 5000 kW, state-of-the-art 2014 mJ CH 1.23 0.08 1.15 0.004 26.6
Cooling energy Natural gas Cogen unit with absorption chiller 100 kW mJ CH 2.07 2.00 0.06 0.113 86.0
Market mJ GLO 2.44 2.40 0.04 0.148 114.1
Table 9:

Life cycle inventory of cooling water.

Activity name Geography Unit Cooling energy, from tap water Comment
Geography CH
Unit MJ
Reference product Cooling energy, from tap water CH mJ 1
Inputs from technosphere Market for tap water CH kg 1000 kJ/mJ/(4.2 kJ/(kg·K)·5 K)·1 mJ [33]

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Received: 2021-01-15
Accepted: 2021-04-07
Published Online: 2021-04-29

© 2021 Walter de Gruyter GmbH, Berlin/Boston

Artikel in diesem Heft

  1. Frontmatter
  2. Editorial
  3. CPPM special issue in honour of Emeritus Professor W.Y. “Bill” Svrcek
  4. Research Articles
  5. Asphaltene precipitation from heavy oil mixed with binary and ternary solvent blends
  6. Kinetic modeling of biosurfactant production by Bacillus subtilis N3-1P using brewery waste
  7. A user workflow for combining process simulation and pinch analysis considering ecological factors
  8. An improved Wilson equation for phase equilibrium K values estimation
  9. Process model correlating Athabasca bitumen thermally cracked at edge of coking induction zone
  10. Flexible digital twins from commercial off-the-shelf software solutions: a driver for energy efficiency and decarbonisation in process industries?
https://doi.org/10.1515/cppm-2021-0004
Schlagwörter für diesen Artikel
heat exchanger network; life cycle analysis; process integration; process optimization; process simulation

Artikel in diesem Heft

  1. Frontmatter
  2. Editorial
  3. CPPM special issue in honour of Emeritus Professor W.Y. “Bill” Svrcek
  4. Research Articles
  5. Asphaltene precipitation from heavy oil mixed with binary and ternary solvent blends
  6. Kinetic modeling of biosurfactant production by Bacillus subtilis N3-1P using brewery waste
  7. A user workflow for combining process simulation and pinch analysis considering ecological factors
  8. An improved Wilson equation for phase equilibrium K values estimation
  9. Process model correlating Athabasca bitumen thermally cracked at edge of coking induction zone
  10. Flexible digital twins from commercial off-the-shelf software solutions: a driver for energy efficiency and decarbonisation in process industries?
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