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Techno-Economic Modeling for Chemical and Bioprocess Innovations

Chris Burk (Burk TechnoEconomics, Verdi, NV, USA)

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English
John Wiley & Sons Inc
06 November 2025
Build spreadsheet-based techno-economic models to understand factors driving economic value

Techno-economic modeling examines how technical and financial parameters influence the economic value of a technology at the commercial scale. Techno-Economic Modeling for Chemical and Bioprocess Innovations is a practical guide to building spreadsheet-based techno-economic models and using them to make better decisions on the road to market.

Inside, this book:

Explains the role of techno-economic modeling in advancing new technologies toward commercialization. Presents spreadsheet best practices that form the foundation for effective and efficient techno-economic modeling. Teaches how to combine process modeling, equipment sizing, and cost estimation in a cohesive and usable spreadsheet model. Introduces techniques for analyzing model results to assess economic viability, quantify uncertainty, inform R&D priorities, and improve stakeholder communication. Provides practical Excel and VBA examples, with two complete sample models available online.

This book equips readers with the tools to combine science, engineering, and cost estimation. It is an essential resource for chemical and bioprocess engineers, including academics, startup teams, and advanced students working to bring innovations into the world.
By:  
Imprint:   John Wiley & Sons Inc
Country of Publication:   United States
ISBN:   9781394246410
ISBN 10:   1394246412
Pages:   368
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Paperback
Publisher's Status:   Forthcoming
Short Affiliation xvii Preface xix Acknowledgments xxiii About the Companion Website xxv Introduction xxvii Part I Spreadsheet Development 1 1 Introduction to Part I 3 1.1 Uses for Spreadsheets 3 1.2 Why Spreadsheets for TEM? 4 1.3 Alternative Techno-Economic Modeling Platforms 5 1.4 Importance of Good Spreadsheet Development Practices 6 1.5 Spreadsheet Development as Software Development 6 1.6 Back-End and Front-End Spreadsheet Development 7 1.7 Important Terms 8 1.7.1 Introduction 8 1.7.2 Anatomy of the Excel User Interface 8 1.7.3 Anatomy of an Excel Formula 10 1.7.4 Other Important Terms 11 1.8 Key Functions 11 1.8.1 Math Functions 11 1.8.2 Statistical Functions 12 1.8.3 Lookup Functions 12 1.8.4 Logical Functions 12 1.8.5 Financial Functions 12 1.8.6 Text Functions 13 1.9 Keyboard Shortcuts 13 Reference 14 2 Back-End Development 15 2.1 Cell-Level Best Practices 16 2.1.1 Keep Formulas Short 17 2.1.2 Avoid Hard-Coding Numbers 18 2.1.3 Perform Calculations in a Consistent Unit Set 19 2.1.4 Avoid Using Off-Sheet References in Formulas 19 2.1.5 Avoid Linking Workbooks 21 2.1.6 Use Named Ranges Where Appropriate 21 2.1.7 Consider Replacing Complex Formulas with User-Defined Function 22 2.1.8 Treat Percentages as Decimals 23 2.1.9 Omit Unnecessary Symbols 23 2.2 Worksheet- and Workbook-Level Best Practices 23 2.2.1 Perform Calculations in Parallel When Possible 24 2.2.2 Build Models to Examine a Single Scenario 25 2.2.3 Perform Each Calculation Only Once 25 2.2.4 Master Tracing Formulas 27 2.2.4.1 Keep Lookup Formulas Local 28 2.2.5 Separate Workbooks into Logical Worksheets 29 2.2.6 Make Calculations and Worksheets Modular 29 2.2.7 Regularly Refactor 30 3 Front-End Development 31 3.1 General Principles of User Interface Design 31 3.2 Cell-Level and Formatting Best Practices 33 3.2.1 Differentiate Input Cells 33 3.2.2 Be Explicit with Labels and Units 33 3.2.3 Omit Unnecessary Labels 33 3.2.4 Use Appropriate Number Formatting 34 3.2.5 Turn Gridlines Off 35 3.2.6 Avoid Merging Cells 36 3.2.7 Use Consistent Cell Alignment and Indenting 36 3.2.8 Set Consistent Cell Sizes 37 3.3 Worksheet- and Workbook-Level Best Practices 38 3.3.1 Choose Table Orientation Deliberately 38 3.3.2 Use Named Ranges for Constants and Store them in a Dedicated Worksheet 38 3.3.3 Leave Some White Space 38 3.4 User Interface Best Practices 40 3.4.1 Emphasize Important Inputs and Results 40 3.4.2 Include a Dashboard 40 3.4.3 Use Graphs and Charts to Visually Represent Results 41 3.4.4 Consider the User’s Screen Size and Use 41 Reference 42 4 Documentation 43 4.1 Nearby Cells 44 4.2 Cell Notes 44 4.3 Dedicated Location Within Worksheet 46 4.4 Dedicated Worksheet 47 4.5 Separate Document 47 4.6 Screencast 48 Reference 48 5 Visual Basic for Applications 49 5.1 VBA Basics 49 5.1.1 Enabling Macros 49 5.1.2 The VBA Editor 51 5.1.3 Dot Notation and the Object Model 53 5.1.4 Subroutines and Functions 53 5.1.4.1 Comments 54 5.1.5 Variables 54 5.2 Working with VBA 56 5.2.1 Scope 56 5.2.2 Loops 57 5.2.3 Conditional Statements 57 5.2.4 With Statements 58 5.2.5 Arrays and Collections 58 5.2.6 Error Handling 60 5.2.7 Debugging 63 5.3 Applications to TEM 64 5.3.1 When to Use VBA 64 5.3.2 User-Defined Functions 65 5.3.3 Macros 67 5.3.4 Improving Calculation Speed 70 5.4 AI-Assisted Coding 71 Part II Techno-Economic Modeling 73 6 Introduction to Part II 75 6.1 Methods and Accuracy 77 6.2 Anatomy of a Techno-Economic Model 78 Reference 80 7 Process Diagrams 81 7.1 Types and Use of Process Diagrams 81 7.1.1 Block Flow Diagrams (BFDs) 82 7.1.2 Process Flow Diagrams (PFDs) 82 7.1.3 Piping and Instrumentation Diagrams (P&IDs) 82 7.1.4 Hybrid Diagrams 86 7.1.5 Process Sequence Diagrams 86 7.2 Defining Model Scope 86 7.3 Best Practices 89 7.3.1 General Considerations 89 7.3.2 Organization 90 7.3.3 Labeling 91 7.4 Concluding Thoughts 93 References 94 8 Process Modeling 95 8.1 Spreadsheet Structure and Organization 95 8.1.1 Settings 96 8.1.2 Calculations 98 8.1.3 Stream Table 98 8.1.4 Results 98 8.2 The Stream Table 98 8.2.1 Stream Properties 99 8.2.1.1 Description 101 8.2.1.2 Total and Component Mass Flow Rates 101 8.2.1.3 Total and Component Mole Flow Rates 101 8.2.1.4 Volume Rate, Density, and Average Molecular Weight 101 8.2.1.5 Temperature and Pressure 102 8.2.1.6 Enthalpy Rate and Heat Capacity 103 8.3 Material Balance Calculations 104 8.3.1 Solving the Stream Table 105 8.3.2 Recycles 107 8.3.2.1 Recycle Constrained by Overall Conversion 108 8.3.2.2 Processes Constrained by Impurity Concentration 109 8.3.3 Material Rate Basis and Onstream Factor 111 8.3.3.1 Continuous Processes 111 8.3.3.2 Batch Processes 112 8.3.3.3 Other Considerations 112 8.3.4 Integrated Material Balance Verification 113 8.4 Energy Balance Calculations 113 8.4.1 Enthalpy Balances in the Stream Table 114 8.4.2 Heat Exchangers 114 8.4.2.1 Heat Exchange Between Streams 114 8.5 Special Topics 120 8.5.1 Stoichiometry 120 8.5.2 Vapor–Liquid Equilibria 122 8.5.3 Distillation 123 8.5.4 Packed Beds 124 8.5.5 Electrochemistry 125 8.6 Development Workflow 128 Reference 128 9 Equipment Sizing 129 9.1 Spreadsheet Structure and Organization 131 9.2 Utility Calculations 132 9.2.1 Fuel 135 9.2.2 Electricity 135 9.2.3 Process Water 136 9.2.4 Steam 136 9.2.5 Thermal Fluids 139 9.2.6 Cooling Water 139 9.2.7 Refrigeration 140 9.2.8 Demineralized Water 142 9.2.9 Other Utilities 142 9.3 Sizing Calculations 143 9.3.1 Vessels 143 9.3.1.1 General Sizing Calculations 143 9.3.1.2 General Utility Calculations for Vessels 144 9.3.1.3 Liquid-Filled Vessels 146 9.3.1.4 Fermenters 147 9.3.1.5 Active-Material-Packed Vessels 148 9.3.1.6 Vapor–Liquid Separation Vessels 149 9.3.2 Columns 151 9.3.2.1 Distillation Columns 151 9.3.2.2 Absorption and Stripping Columns 153 9.3.3 Fluid Moving Equipment 153 9.3.3.1 Pumps 154 9.3.3.2 Compressors 154 9.3.3.3 Blowers and Fans 155 9.3.3.4 Vacuum Pumps 157 9.3.4 Heat Exchangers 158 9.3.5 Heaters and Furnaces 159 9.3.6 Filters 159 9.3.7 Membrane Systems 160 9.3.8 Sedimentation Centrifuges 160 9.3.9 Electrochemical Cells 161 9.3.10 Unusual or Novel Equipment 161 9.4 Materials of Construction 162 9.4.1 Corrosion/Material Compatibility 162 9.4.2 Strength 163 9.4.3 Application-Specific Requirements 163 9.5 Development Workflow 163 References 164 10 Equipment Costing 165 10.1 Structure and Organization 165 10.2 Power-Law Scaling 166 10.2.1 Estimating Scaling Exponents from Data 171 10.2.2 Geometrical Underpinnings of Scaling Exponents 171 10.2.3 Breaking Down a Scaling Exponent 172 10.2.4 The Blended Scaling Exponent 173 10.2.5 Limitations of Power-Law Scaling 175 10.2.6 The Importance of Similarity 175 10.2.7 Novel or Unusual Equipment 176 10.3 Factors for Adjusting Purchase Cost 177 10.3.1 Material Factors 177 10.3.2 Pressure Factors 178 10.3.3 Miscellaneous Factors 179 10.3.4 Cost Escalation 179 10.4 Installation Factors 181 10.5 Putting It All Together 182 10.6 Development Workflow 187 References 188 11 Capital Cost Estimation 189 11.1 Important Distinctions 189 11.2 Methods for Estimating Fixed Capital 191 11.2.1 Equipment Factor Method 191 11.2.2 Lang Factor Method 194 11.2.3 Overall Plant Cost Scaling Method 194 References 195 12 Operating Costs and Revenue Estimation 197 12.1 Structure and Organization 197 12.2 Variable Operating Costs 199 12.2.1 Raw Materials 199 12.2.2 Consumables 201 12.2.3 Utilities 201 12.2.4 Waste Management 202 12.3 Operating Labor Costs 203 12.4 Other Fixed Operating Costs 205 12.4.1 Supervision and Labor Overhead 206 12.4.2 Maintenance 206 12.4.3 Local Taxes, Insurance, and Rent 206 12.4.4 Patents and Royalties 206 12.4.5 Interest on Working Capital 206 12.5 Revenue 207 References 208 13 Economic Value Estimation 209 13.1 Simple Metrics 210 13.1.1 Gross Profit and Gross Margin 210 13.1.2 Return on Investment and Simple Payback 210 13.2 Time Value of Money and Discounting 210 13.2.1 Cost of Capital 211 13.2.2 Putting a Value on the Discount Rate 212 13.2.3 Special Case: Annuities 213 13.3 Levelized Cost 213 13.4 Cash Flow Analysis 217 13.4.1 Project Lifetime 220 13.4.2 Investment and Start-up Schedules 220 13.4.3 Income Tax 220 13.4.4 Depreciation 221 13.4.5 Working Capital 223 13.4.6 Financing and Interest 223 13.5 Discounted Metrics 225 13.5.1 Net Present Value 227 13.5.2 Internal Rate of Return 228 13.5.3 Modified Internal Rate of Return 229 13.5.4 Net Present Value Percent 231 13.6 Incremental Analysis 231 References 232 14 The Dashboard 235 14.1 Dashboard Design 235 14.2 Best Practices 237 15 Top-Down Modeling 239 15.1 Top-Down Model Structure 240 15.2 Steps to Building a Top-Down Model 240 16 Model Review and Debugging 245 References 248 17 Conclusion: Working with Uncertainty 249 17.1 Uncertainty in Process Design 249 17.2 Uncertainty in the Model Inputs 251 Part III Techno-Economic Analysis 253 18 Analysis Methods 255 18.1 Cost Distribution Charts 255 18.2 Basic Sensitivity Analyses 257 18.3 Tornado Diagrams 261 18.4 Monte Carlo Method 262 18.5 Scenario Analysis 265 Reference 266 19 Techno-Economic Analysis in Practice 267 19.1 Assessing Potential for Economic Viability 267 19.2 Assessing Risk and Uncertainty 268 19.3 Guiding R&D 272 19.4 Communication 274 Part IV Case Studies 277 20 Bottom-Up Case Study 279 20.1 Process Description 279 20.2 Model Walkthrough 281 20.2.1 Process Modeling 281 20.2.2 Equipment Sizing 283 20.2.3 Equipment Costing 287 20.2.4 Capital Cost Estimation 289 20.2.5 Operating Cost and Revenue Estimation 289 20.2.6 Economic Value Metric Estimation 293 20.2.7 Dashboard 296 20.3 Model Review 296 20.3.1 Process Diagram 296 20.3.2 Dextrose Costs 296 20.3.3 Equipment Costing 298 20.4 Analysis and Discussion 299 References 301 21 Top-Down Case Study 303 21.1 Process Description 303 21.2 Model Walkthrough 305 21.2.1 Process Modeling 305 21.2.2 Capital Cost Estimation 308 21.2.3 Levelized Cost Estimation 309 21.2.4 Dashboard 312 21.3 Model Review: Comparison with Study Results 312 21.4 Analysis and Discussion 318 References 323 Index 000

Chris Burk is a chemical engineer and consultant. He is a leader in the field of techno-economic modeling for tough-tech innovations. Chris has developed models for over 100 technologies, built a library of software tools, and has written and spoken extensively on the subject. He regularly works with startups from the top tough-tech focused organizations in the United States, such as Activate and MIT’s The Engine, as well as many others.

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