Production of fine and speciality chemicals: procedure for the estimation of LCIs
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Goal, Scope, Background
To improve the environmental performance of chemical products or services, especially via comparisons of chemical products, LCA is a suitable evaluation method. However, no procedure to obtain comprehensive LCI-data on the production of fine and speciality chemicals is available to date, and information on such production processes is scarce. Thus, a procedure was developed for the estimation of LCIs of chemical production process-steps, which relies on only a small amount of input data.
A generic input-output scheme of chemical production process-steps was set up, and equations to calculate inputs and outputs were established. For most parameters in the resulting estimation procedure, default values were derived from on-site data on chemical production processes and from heuristics. Uncertainties in the estimated default values were reflected as best-case and worst-case scenarios. The procedure was applied to a case study comparing the production of two active ingredients used for crop protection. Verification and a sensitivity analysis were carried out.
Results and Discussion
It was found that the impacts from the mass and energy flows estimated by the procedure represent a significant share of the impacts assessed in the case study. In a verification, LCI-data from existing processes yielded results within the range of the estimated best-case and worst-case scenarios. Note that verification data could not be obtained for all process steps. From the verification results, it was inferred that mass and energy flows of existing processes for the production of fine and speciality chemicals correspond more frequently to the estimated best-case than to the worst-case scenario. In the sensitivity analysis, solvent demand was found to be the most crucial parameter in the environmental performance of the chemical production processes assessed.
Mass and energy flows in LCIs of production processes for fine and speciality chemicals should not be neglected, even if only little information on a process is available. The estimation procedure described here helps to overcome lacking information in a transparent, consistent way.
Recommendations and Outlook
Additional verifications and a more detailed estimation of the default parameters are desirable to learn more about the accuracy of the estimation procedure. The procedure should also be applied to case studies to gain insight into the usefulness of the estimation results in different decision-making contexts.
KeywordsChemical production process estimation fine chemicals life cycle inventory analysis (LCI) product comparison speciality chemicals
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- Boustead I (1999): Eco-Profiles of Plastics and Related Intermediates. Association of Plastics Manufacturers in Europe (APME), BrusselsGoogle Scholar
- Stalmans M, Berenbold H, Berna JL, Cavalli L et al. (1995): European Life-Cycle Inventory for Detergent Surfactants Production. Tenside Surf Det 32, 84–109Google Scholar
- Frischknecht RE, Bollens U, Bosshart S, Ciot M et al (1996): ökoinventare von Energiesystemen (LCIs of Energy Systems). Swiss Federal Office of Energy, Bern, 3rd ed.Google Scholar
- Simapro 4.0 (2001): Pré consultants B.V., Amersfoort, The NetherlandsGoogle Scholar
- Blickenstorfer C (1999): Analyse des Energieverbrauchs eines Mehrprodukte — Batch — Betriebes: Fallbeispiel Reaktivfarbstoffproduktion. (Analysis of Energy Use in Multipurpouse — Batch — Production: Case-Study on the Production of Reactive Dyestuffs). Dissertation, Swiss Federal Institute of Technology, Laboratory of Technical Chemistry, ZürichGoogle Scholar
- Grant CD (2001): Energy Management in Chemical Industry. In: Ullmann’s Encyclopedia of Industrial Chemistry. New York. John Wiley & Sons, 6th ed.Google Scholar
- Ullmann’s Encyclopedia of Industrial Chemistry (2001): John Wiley & Sons, New York, 6th ed.Google Scholar
- Bretz R, Frankhauser P (1997): Life-cycle assessment of chemical production processes: A tool for ecological optimization. Chimia 51, 213–217Google Scholar
- Simond O (2001): Personal Communication. CIMO S.A.Google Scholar
- Hischier R, Baitz M, Bretz R, Frischknecht R et al. (2003): SETAC LCA Working Group Data Availability and Data Quality, Subgroup 3: Recommended List of Exchanges (in print)Google Scholar
- Colomb G (2001): Emission Abatement at the Chemical Plant in Monthey. CIMO SA, Monthey, Switzerland (confidential)Google Scholar
- Kirk RE, Othmer DE (eds.) (1991): Encyclopedia of Chemical Technology. John Wiley & Sons, New YorkGoogle Scholar
- Weissermel K, Arpe H-J (1998): Industrial Organic Chemistry. Wiley-VCH, WeinheimGoogle Scholar
- Tomlin CDS (ed.) (1997): The Pesticide Manual. British Crop Protection Council, 11th ed.Google Scholar
- Beilstein CrossFire plus Reactions (2000). MDL Information Systems GmbH, Frankfurt, 5th ed.Google Scholar
- Production Data for an Active Ingredient for Crop Protection and its Precursor (2001): Syngenta Crop Protection SA, Basel, Switzerland (confidential)Google Scholar
- Standard Operation Procedure in Pilot Scale for the Production of an Active Ingredient for Crop Protection (1990): Syngenta Crop Protection SA, Basel, Switzerland (confidential)Google Scholar
- Utility Demands of Three Multipurpose-Batch Production Buildings, from the Years 1998–2001 (2001): CIBA Speciality Chemicals SA, Basel, Switzerland (confidential)Google Scholar
- Frischknecht R (1999): Umweltrelevanz natürlicher Kältemittel; ökobilanzen von Wärmepumpen und Kälteanlagen, Anhang zum Schlussbericht. (Relevance of Natural Cooling Agents; LCIs of Heat Pumps and Cooling Installations). Swiss Federal Office of Energy, Bern, SwitzerlandGoogle Scholar
- Coers KJ (2002): Personal Communication. Syngenta Crop Protection, Basel, SwitzerlandGoogle Scholar
- Technical Guidance Document in Support of Commission Directive 93/67/EEC on Risk Assessment for New Notified Sub- stances and Commission Regulation (EC) No. 1488/94 on Risk Assessment for Existing Substances (1996): European Commission, LuxembourgGoogle Scholar
- Hofstetter TB, Capello C, Hungerbühler K (2003): Environmentally Preferable Treatment Options for Industrial Waste Solvent Management: A Case Study of a Toluene-Containing Waste Solvent. Transactions of the Institution of Chemical Engineers, Part B 81, 189–202Google Scholar
- Guinée JB, Gorrée M, Heijungs R, Huppes G et al. (2001): CML-Guide to Life Cycle Assessment. Centre of Environmental Studies, Leiden University (CML), LeidenGoogle Scholar
- Morgan MG, Henrion M (1990): Uncertainty. Cambridge University Press, CambridgeGoogle Scholar
- Data on Utility Inputs into and Emissions from the Chemical Waste Incinerator and the Wastewater Treatment Plant at the Monthey Production Site (2000): CIMO SA, Monthey, SwitzerlandGoogle Scholar
- Cost Sheets on Production Processes for Fine and Speciality Chemicals (2002): Syngenta Crop Protection, Basel, Switzerland (confidential)Google Scholar
- Cost Sheets on Production Processes for Fine and Speciality Chemicals (2002): SF-Chem, Basel, Switzerland (confidential)Google Scholar
- Standard Operation Procedure for the Pilot Production of a Speciality Chemical (1987): Syngenta Crop Protection, Basel, Switzerland (confidential)Google Scholar
- Database of Mass and Energy Balances of Chemical Production Processes (1996): Syngenta Crop Protection, Basel, Switzerland (confidential)Google Scholar
- Busson J (1998): Position Paper on Responsible Care. International Council of Chemical Associations (ICCA). http:// www.icca-chem.orgGoogle Scholar