Abstract
Process design alternatives can be compared in
terms of their effluents and energy consumption. Approaches can be used
to account for differences in regional exposure and toxicological
effect parameters. A significant number of methodologies have been
published in the literature to achieve this objective. Selection of a
methodology is typically subjective and influenced by resource
availability. Often criteria are not used to
guide designers in their selection or to steer associated research
activities.
In this paper, the merits and applicability of five types of
methodology
are considered using a hierarchical framework. The hierarchical
framework
presented is applicable for approaches that are based on toxicological
impacts
on a regional scale.
Introduction
A significant need has been emphasised in
management standards (ISO 14001, BS 7750, EMAS), in legislation (IPC in
Europe), by
non-governmental organisations and in corporate guidelines for the
development
of straightforward methodologies to enable the comparison of process
design
alternatives in terms of environmental impacts. These approaches
typically
do not indicate that an emission will result in an impact but provide a
relative
scale for comparison in terms of "contributions" to potential impacts.
Impacts associated with emissions may be
classified into resource depletion, human health, ecological
degradation, economic effects and social effects. Comparison of process
alternatives in terms of all impact categories reflects the objective
of sustainable development and can involve the use of holistic
frameworks like Life Cycle Assessment (LCA)1 to address associated
emissions off-site. In this paper we focus on the options available for
comparison in terms of contributions to potential toxicological impacts
on human health and the ecosystem from process emissions.
A reasonable consensus exists for comparison
in terms
of global-scale issues like ozone depletion and global warming
potentials. 2 However a significant number of methodologies have been
published to facilitate comparisons in terms of contributions to
potential toxicological impacts on
human health and ecosystem. These range in complexity from simple
summations of effluent quantities to detailed, site-specific
assessments. The selection of a methodology is often subjective and
influenced by resource availability (time constraints, in-house
knowledge, etc.). No unifying criteria are available to guide process
designers in their selection or to steer research activities. In this
paper a hierarchical framework is used to consider the merits and
applicability of the different types of methodologies.
The hierarchical framework presented is
applicable for the comparison of emissions in the context of potential
toxicological impacts to human health and ecosystems on a regional
scale. It is assumed that the magnitude and concentration of emissions
are normally restricted by legislation to limit actual impacts
resulting from individual discharges on a local scale. Secondary
impacts associated with photochemical ozone
creation, breakdown products, acidification, and eutrophication are
similarly
not addressed. The strengths and weaknesses of the different types of
approaches
in the hierarchy are illustrated using a case study.
Conclusion
A significant number of approaches have been
presented in the literature to facilitate the comparison of process
design alternatives in terms of potential contributions to
toxicological impacts on a regional scale. These approaches typically
do not indicate that an emission will
result in an impact but provide a relative scale for the comparison of
effluents. A hierarchical framework and guidelines are presented in
this paper to help process designers consider the merits and
applicability of the different types
of methodologies. The hierarchy is based on the degree of
representation of
associated environmental mechanisms. However, the suitability of an
approach will depend on the relative environmental behaviour of the
chemicals considered, the quality of available data, the
comprehensiveness of the model and the ability of more
resource-intensive techniques to provide an improvement in
discrimination.