- Author
-
Simonson, M.
|
Andersson, P.
|
vandenBerg, M.
- Title
- Cost Benefit Analysis Model for Fire Safety Methodology and TV (DecaBDE) Case Study.
- Coporate
- SP Swedish National Testing and Research Institute, Boras, Sweden
- Report
-
SP REPORT 2006:28,
2006,
66 p.
- Keywords
-
fire safety
|
cost benefit analysis
|
methodology
|
fire models
|
flame retardants
|
regulations
|
costs
|
scenarios
|
television
|
evaluation
|
fire risks
|
health hazards
|
environmental effects
|
risk assessment
|
ignition sources
|
fire statistics
- Identifiers
- Life Cycle Assessment (LCA); chemical exposure and health risk; mechanism of action and human relevance; Fire-LCA Application; Fire-CBA Application; occurrence of DecaBDE in human blood samples (concentration ng/g lipid); overview of the entire life-cycle inventory system; specifics of recycling programs in EU
- Abstract
- A fire cost-benefit model (Fire-CBA) has been developed to evaluate the financial impact of regulations and voluntary industry initiatives, aimed at the removal of flame retardants. This model has been constructed to include such costs as: incremental increases in cost to flame retard a product relative to a non-flame retarded product; additional costs for disposal of the product at the end of the product life cycle. Similarly, the model includes provisions for benefits such as: lives saved, injuries avoided, capital costs avoided through fires averted. In all, a total of 8 scenarios were tested for the TV set application of the Fire-CBA model developed in this report. In all cases the benefits of a high level of fire performance in a TV set far outweigh the costs associated with obtaining that high level of fire safety. The net benefit is a function of the choices made in the various scenarios but ranges between 657 to 1 380 million US$ (or approximately 520-1100 million) per year. The various scenarios were chosen to illustrate the significance of the various parameters included in the study as the specific value chosen for each parameter can vary depending on the assumptions made in the model.