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Cost Engineering for Pollution Prevention and Control examines how monetary and non-monetary factors are evaluated to select the best alternative from competitive engineering proposals- judged with respect to some measure of system performance.
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Cost Engineering for Pollution Prevention and Control examines how monetary and non-monetary factors are evaluated to select the best alternative from competitive engineering proposals- judged with respect to some measure of system performance.
Produktdetails
- Produktdetails
- Verlag: CRC Press
- Seitenzahl: 474
- Erscheinungstermin: 14. Mai 2021
- Englisch
- Abmessung: 260mm x 183mm x 30mm
- Gewicht: 1079g
- ISBN-13: 9780367710606
- ISBN-10: 0367710609
- Artikelnr.: 60593793
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
- Verlag: CRC Press
- Seitenzahl: 474
- Erscheinungstermin: 14. Mai 2021
- Englisch
- Abmessung: 260mm x 183mm x 30mm
- Gewicht: 1079g
- ISBN-13: 9780367710606
- ISBN-10: 0367710609
- Artikelnr.: 60593793
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
Paul Mac Berthouex is Emeritus Professor of civil and environmental engineering at The University of Wisconsin-Madison, where he worked for 29 years. Awards and honors include the Rudolph Hering Medal (1975 and 1995) from ASCE, and Harrison Prescott Eddy Medal (1971) from the WPCF, and the Radebaugh Award (189 and 1991) from the Central States WPCA. He is a member of the University of Iowa Distinguished Alumni Academy. Work experience includes Chief Research Engineer for GKW Consult, (Mannheim. Germany), consultant to UNDP, UNESCO, WHO, and TVA, project manager of Asian Development Bank Projects in Korea and Indonesia, treatment plant design in Nigeria and Samoa, visiting professor in England, Denmark, New Zealand, Taiwan, Singapore, India, and Indonesia. He is co-author of eight books, 200 papers and technical reports, and was graduate advisor to almost 100 graduate students. Linfield C. Brown is Emeritus Professor and former chairman of civil and environmental engineering at Tufts University. He taught courses on water quality modeling, water and wastewater chemistry, industrial waste treatment, and engineering statistics, and was the recipient of the prestigious Lillian Liebner and Seymour Simches Awards for excellence in teaching and advising. He has served as consultant to the U.S. Environmental Protection Agency and the National Council for Air and Stream Improvement. He is the author or co-author of over 60 technical papers and reports, has offered over two dozen workshops in the US, Spain, Poland, England, and Hungary on water quality modeling with QUAL2E, and is the co-author of five books on statistics and pollution prevention and control.
1. An Introduction to Cost Engineering. 2. Defining the Engineering
Problem. 3.Planning for the Future. 4. Capital Cost Estimates. 5. Operating
Costs. 6. Cost Indexes. 7. Economy of Scale. 8. The Time Value of Money. 9.
Depreciation and Asset Valuation. 10.Financing Capital Costs. 11. Financial
Management for Operations. 12. Utility Service Revenues and Rate Making.
13. Financial Management for Engineering Projects.14.Optimization of Linear
Models. 15. Optimization of Nonlinear Problems. 16. Building and Fitting
Statistical Models. 17. Experimental Methods for Engineering
Optimization.18. Designing under Uncertainty. 19. Monte Carlo Simulation.
20. Designing for Safety and Reliability. 21. References and Recommended
Reading. 22. Appendix A- Staged Construction for Linear Growth. 23.
Appendix B - Economy of Scale Factors. 24. Appendix C - Factors for
Economic Calculation. 25. Appendix D - Interpreting the LINGO Solution
Report. 26. Appendix E - Generating Random Numbers in Excel. Index.
Problem. 3.Planning for the Future. 4. Capital Cost Estimates. 5. Operating
Costs. 6. Cost Indexes. 7. Economy of Scale. 8. The Time Value of Money. 9.
Depreciation and Asset Valuation. 10.Financing Capital Costs. 11. Financial
Management for Operations. 12. Utility Service Revenues and Rate Making.
13. Financial Management for Engineering Projects.14.Optimization of Linear
Models. 15. Optimization of Nonlinear Problems. 16. Building and Fitting
Statistical Models. 17. Experimental Methods for Engineering
Optimization.18. Designing under Uncertainty. 19. Monte Carlo Simulation.
20. Designing for Safety and Reliability. 21. References and Recommended
Reading. 22. Appendix A- Staged Construction for Linear Growth. 23.
Appendix B - Economy of Scale Factors. 24. Appendix C - Factors for
Economic Calculation. 25. Appendix D - Interpreting the LINGO Solution
Report. 26. Appendix E - Generating Random Numbers in Excel. Index.
1. An Introduction to Cost Engineering. 2. Defining the Engineering
Problem. 3.Planning for the Future. 4. Capital Cost Estimates. 5. Operating
Costs. 6. Cost Indexes. 7. Economy of Scale. 8. The Time Value of Money. 9.
Depreciation and Asset Valuation. 10.Financing Capital Costs. 11. Financial
Management for Operations. 12. Utility Service Revenues and Rate Making.
13. Financial Management for Engineering Projects.14.Optimization of Linear
Models. 15. Optimization of Nonlinear Problems. 16. Building and Fitting
Statistical Models. 17. Experimental Methods for Engineering
Optimization.18. Designing under Uncertainty. 19. Monte Carlo Simulation.
20. Designing for Safety and Reliability. 21. References and Recommended
Reading. 22. Appendix A- Staged Construction for Linear Growth. 23.
Appendix B - Economy of Scale Factors. 24. Appendix C - Factors for
Economic Calculation. 25. Appendix D - Interpreting the LINGO Solution
Report. 26. Appendix E - Generating Random Numbers in Excel. Index.
Problem. 3.Planning for the Future. 4. Capital Cost Estimates. 5. Operating
Costs. 6. Cost Indexes. 7. Economy of Scale. 8. The Time Value of Money. 9.
Depreciation and Asset Valuation. 10.Financing Capital Costs. 11. Financial
Management for Operations. 12. Utility Service Revenues and Rate Making.
13. Financial Management for Engineering Projects.14.Optimization of Linear
Models. 15. Optimization of Nonlinear Problems. 16. Building and Fitting
Statistical Models. 17. Experimental Methods for Engineering
Optimization.18. Designing under Uncertainty. 19. Monte Carlo Simulation.
20. Designing for Safety and Reliability. 21. References and Recommended
Reading. 22. Appendix A- Staged Construction for Linear Growth. 23.
Appendix B - Economy of Scale Factors. 24. Appendix C - Factors for
Economic Calculation. 25. Appendix D - Interpreting the LINGO Solution
Report. 26. Appendix E - Generating Random Numbers in Excel. Index.







