Abstract
Management standards,
government initiatives, non-government organizations and corporate
guidelines emphasize the strong need for the development of
methodologies to facilitate the environmental comparison of process
design and product alternatives. This chapter helps address the
need to support these "burden-based" assessments by presenting a
discussion of metrics commonly used for the relative comparison of
alternatives in eleven impact categories, such as ozone depletion, smog
formation and acidification.
Each section of the chapter provides a historical introduction, an
overview
of the state-of-the-art, identifies key limitations and illustrates one
common
approach. The illustrations are based on two alternatives for the
production
of 1,4 butanediol (BDO), considered both from a site-specific
processing
and a holistic product perspective.
Introduction
Comparison Metrics:
Impacts associated with process or product changes can be considered in
the context of natural resources, human health, ecological health,
social welfare and economics. All these factors are taken into
consideration under the "sustainable development" umbrella. In
this chapter we focus on the first three and describe environmental
comparison metrics (potentials, potency factors, equivalency factors or
characterization factors) for eleven associated "impact"
(sub)categories: global warming, stratospheric ozone depletion,
tropospheric
ozone (smog) creation, eutrophication, acidification, human
carcinogenicity,
toxicological impacts to humans, toxicological impacts to ecosystems,
land
use, water use and the depletion of fossil fuel resources.
Although
these eleven subcategories are commonly addressed in available
environmental comparison case studies, this list is not comprehensive.
Emissions or resource
consumption data are typically multiplied by environmental comparison
metrics to help represent their relative importance within a given
impact category. A significant number of methodologies are
available that can be used to
derive environmental comparison metrics in application domains like
product
life-cycle assessment (LCA), process design and for "regulatory"
prioritization. e.g. 1,2 These methodologies range in
complexity (data intensity,
knowledge requirements), comprehensiveness (breadth or scope of
representation),
sophistication (relevance to and depth of representation of the
environmental
mechanisms) and accuracy (uncertainty inherent to the model and
associated
with input data). As a result, the selection of a methodology
often
remains subjective and strongly influenced by resource availability
(in-house
knowledge, input data availability, etc.).
The metrics illustrated
in this chapter are commonly used in relative comparison applications
or as target
(objective) functions for design "optimization." No endorsement
of
the approaches or suggestion that they are the "best available
practice" is intended. The results do not indicate that an actual
impact will occur but often reflect differences in implicit concern, as
in the precautionary principle. In some cases the metrics may
reflect intrinsic differences at a common midpoint in a cause-effect
chain (environmental mechanism),
as illustrated in Figure 1 for acidification.
Figure 1: |
Midpoints and
endpoints in the simplified cause-effect chain for acidification |
There is a tendency to
define indicators at common midpoints to help minimize (parameter or
data) uncertainty. For example, this modelling preference would
imply that there is no need
to forecast specific effects associated with global warming.
Comparison can be made in terms of radiative forcing and half-life
differences (inherent chemical properties). However, comparison
at midpoints may not always account for all factors in a cause-effect
chain (increasing model uncertainty), as is the case of acidification
metrics in Figure 1, and can result in complications associated with
the resolution of trade-offs, if any, across impact categories like
acidification and global warming.
Comparison using
endpoint metrics
may increase the number of categories requiring consideration, for
example
the specification of different types of impacts to human health
associated with ozone depletion, but may provide a set of metrics that
are more readily comparable across categories using available
"valuation" tools due to their "observed" nature. For example,
human health effects endpoints are
often associated with different levels of perceived severity.
Although
considered a developing approach and with additional data requirements,
the
results for different human health endpoints can be combined into a
single
human health measure using approaches like QALYs (Quality Adjusted Life
Years) and DALYs (Disability Adjusted Life Years).3
Commonly however differences in severity in the context of
toxicological impacts to human and
ecological health are ignored (effects inherently considered equal).
"Holistic" Assessment:
Life-cycle assessment (LCA) is one framework for "holistically"
evaluating the inputs and emissions associated with all the stages in a
product's life-cycle from cradle to grave (raw material acquisition,
manufacturing, use and disposal). Similar to site or process
specific comparison of process designs, an LCA consists of iterative
steps.4-6 Having established the product system boundaries
and aims of the assessment (goal and scope definition), associated
resource consumption and emissions must be identified and tabulated in
a data sheet (inventory analysis). These inventory data are then
considered according to the substance's potential contribution within
an impact
category, such as global warming and ozone depletion. Associated
elements
include:
- Selection of impact
categories, category indicators and characterization models
- Assignment of
inventory analysis results to impact categories (classification)
- Calculation of
category indicators using associated characterization factors
(comparison metrics) derived using characterization models
(characterization)
Calculating the magnitude
of
category indicator results relative to reference information like
geo-specific
emissions (normalization), sorting or ranking impact categories
(grouping)
and aggregating indicator results across impact categories (weighting
or
multi-objective decision making) remain controversial topics that
cannot
be addressed in sufficient detail in this chapter.
It should be noted that
the inability to compare design alternatives in terms of "actual"
impacts can be compounded in life-cycle assessments by additional
factors, including:
- the inventory data
reflecting only a portion of the total inputs/emissions at given sites
- the unknown and
changing location of many sites in a life-cycle
Case Study: The US
EPA 7 commissioned a life-cycle case study to help explore
the implications of BDO (1,4 butanediol) production from bio-derived
feed stocks compared to
natural gas. Two system boundaries are addressed in this chapter:
- the processing
stage (the gate-to-gate perspective)
- and the
cradle-to-gate life-cycle
The product life-cycle
stages addressed for the BDO alternatives are summarized in Figures 2
and 3. 7 As the final product is functionally identical in
both life-cycles, a "cradle-to-gate" approach (from extraction of the
raw materials to the final
deliverable product) was selected. The functional unit, the
performance basis used to help consistently compare alternatives, was
defined as one US
pound of BDO produced and ready for shipment. This functional
unit and
the inventory data can be adjusted to reflect annual production rates
for
the US, thus being more relevant from a national emissions and resource
consumption
perspective. However, this multiplication will not influence the
results
in a relative comparison context and will still not provide an absolute
indicator
of "actual" impacts.
It should be noted that
the BDO life-cycle analysis represents a "snap-shot in time" and all
the stages are subject to change, particularly the developing bio-based
life cycle. It remains open to debate whether such a "static"
comparison is always appropriate, although practical alternatives are
currently limited in availability and it can be difficult to forecast
future developments that may alter the outcome (improvements in
available technologies, novel processes, alternatives in reaction
chemistry, solvent substitutions, etc.).
Figure 2: |
Simplified life
cycle flow diagram for BDO derived from natural gas (energy consumption
and associated processes not shown) adapted from US EPA7 |
Figure 3: |
Simplified life
cycle flow chart for BDO derived from corn glucose (energy consumption
and associated processes not shown) adapted from US EPA7 |
Summary
In this chapter we briefly
outlined many considerations associated with current "state-of-the-art"
metrics that are used in environmental comparison applications and
illustrated the importance of comparing design alternatives from a
life-cycle, as well as site-specific, perspective. It is clear that our
ability to readily compare alternatives in product life cycle
assessment (LCA), as well as in the context of more restricted scopes
like the direct comparison of on-site emissions associated with process
design alternatives, remains limited. Despite these limitations and the
significant debates that ensue, decisions must ultimately be made to
help focus our finite resources (time and money) in an effort to reduce
the potential of negative consequences associated with chemical
emissions and the depletion of natural resources.