The results of the original and all redesign scenarios are summarized in Table 1, normalized by the more commonly used functional unit of gross area (kgCO2eq/m2) in order to compare to material-specific benchmarks used in most studies in the literature. The analysis that follows compares the relative differences between scenarios using this and other units of analysis to overcome limitations of LCA methods in addressing specific architectural performance criteria.
Gross Area
Figure 5 shows the LCA results of the first five models (same building footprint and building height) compared to a recent benchmarking study of buildings of all types, which reported a median of 384 kgCO2eq/m2.[44] Comparing this benchmarking median to the models for the courthouse studied at the commonly used building service life of 60 years (without the less commonly used credits from Module D), to use the more common LCA parameters reported in the literature, only the wood building had a lower EC, at 269 kgCO2eq/m2, followed by a significant jump up to numbers ranging from 475 kgCO2eq/m2 (concrete) to 595 kgCO2eq/m2 (steel). This is a notable difference for durable buildings in the context of the time value of carbon given that, as will be further explained in the following sections, a significant portion of those emissions from the wood building would have been deferred to the end of its service life.
For more material-specific comparisons, the EC of the wood model of the courthouse fell within the range of wood buildings reported in another benchmarking study (100 to 400 kgCO2eq/m2 for timber), but above the median of 200 kgCO2eq/m2 [45]. However, that same study reported medians of between 300–400 kgCO2eq/m2 for concrete, steel and steel/concrete hybrids, respectively, which are lower than the courthouse EC in those same materials. The widest range seen in these benchmarks was for steel projects, which go as high as 1200 kgCO2eq/m2. This may relate to findings in the same benchmarking study, which found cultural buildings and LEED-certified buildings to have higher embodied carbon. These are relevant factors for the courthouse structure, due to the robustness and redundancy necessary to meet more strict performance criteria for durability, security, and operational energy efficiency in this type of public assembly building. This may explain why its emissions are higher than the reported material-specific medians by factors of 1.35 × for wood and 1.7 × for steel Notably, when the building service life is increased to 150 years (without Module D), the range of EC for the courthouse goes from 745 kgCO2eq/m2 (wood) to 1071 kgCO2eq/m2 (steel). When comparing these to recently published benchmarks specifically for public assembly buildings, which are presumably more durable types and have a higher median of 433 kgCO2eq/m2, and a range from 100 to 935 kgCO2eq/m2; all the models of the courthouse at 150 years, including the wood building, are higher than the median by between 1.72 × and 2.47x. It is again worth noting that for wood nearly half (42%) of those emissions are deferred to the end of its service life, which at 150 years would put it comfortably outside the range of the current timeline for climate action.
Steel has higher emissions than all other materials in all scenarios, even when replacing Portland cement in the concrete slab with ACM. The ranking of materials does not change from 60 to 150 years:
\(steel>steel\;with\;ACM\hspace{0.17em}>\hspace{0.17em}masonry\hspace{0.17em}>\hspace{0.17em}concrete\hspace{0.17em}>\hspace{0.17em}wood\)
However, the relative impact of building service life on emissions is more significant in the lower-carbon structures. The emissions of the wood building nearly triple from 60 to 150 years. They double in the concrete building, and nearly double in the masonry and steel buildings in that time. While the durable building may still result in less emissions than demolishing the building and building new, this significant increase in emissions when going from 60 to 150 years demonstrates the relative impact of replacement and repair phase in long-life buildings, highlighting the importance of cradle-to-grave, or cradle-to-cradle, rather than cradle-to-gate analysis.
While the comparison with common published benchmarks is helpful, the disadvantage of normalizing by gross area is that it fails to account for the loss of net usable space when changing to different primary structural materials. This is especially relevant to long-life buildings where large spans, robustness and redundancy enable durability, safety and adaptability, but the spatial impact of replacing steel with materials of lesser strength, such as wood, can be significant.
Net Area vs Net Volume
For this analysis, the net area reduced the gross area by the thickness of enclosure and floor voids (equally in all models) but also by the footprint of columns with their fire rating (differently in each model). The wood columns have additional charring thickness and the steel columns have the additional thickness from the channels and gypsum enclosure (Fig. 6). This eliminates the advantage of the steel I-shape, which reduces less area than its equivalent rectangular footprint. And it reduces the penalty on the more massive but inherently fireproof systems of concrete and masonry. However, normalizing by net area would only capture losses in floor area, not in height, neglecting the full interior volume (spaciousness) of the architecture, and as such the aesthetic experience (daylight, monumentality, proportions). Specifically, there is also a significant added structural depth for a robust floor structure that can resist PC in wood and concrete. When the ceiling height and floor area are reduced, the net volume is reduced. Thus, the LCA comparison for the original five models was normalized by net volume (kgCO2eq/m3) which has the effect of increasing carbon emissions per unit. It is, in other words, a penalty on the more space-intensive materials.
Figure 7 shows the LCA results for each model by stage, without and without the impacts of module D. Module D accounts for the reuse or energy recovery potential of materials at the end of life, and it is considered outside of the system boundary because these savings are not fully realized within the service life of the building being analyzed, but in the life of another end use. In this analysis, when excluding module D, the ranking of materials changes significantly, with the space-intensity of the masonry structure making it now the highest, and the steel building EC is now closer to the wood building, 30% higher instead of 40% when compared by area:
\(masonry>\hspace{0.17em}steel\hspace{0.17em}>\hspace{0.17em}steel\;with\;ACM,\hspace{0.17em}>\hspace{0.17em}concrete\hspace{0.17em}>\hspace{0.17em}wood\)
When considering the impact of reusing or recovering energy in module D, then steel is again the highest. However, masonry which has the same floor system as the steel building with ACM slab, is now between steel and steel with ACM.
\(steeel\hspace{0.17em}>\hspace{0.17em}masonry\hspace{0.17em}>\hspace{0.17em}steel\;with\;ACM\hspace{0.17em}>\hspace{0.17em}concrete\hspace{0.17em}>\hspace{0.17em}wood;\)
By having the same floor system as the steel with ACM building, this analysis isolates the relative impact of the vertical masonry system. Nonetheless, the results reveal that the proportional impact of the concrete slab on a hybrid building is significant, going from 13.1% of the steel building’s total EC to 10.5% of the masonry building’s total EC, to 9.75% in the steel building with ACM. Even the lightweight concrete topping slab over the CLT of the mass timber building represented 6.1% of its total EC.
Seeing the impacts by stage in Fig. 7 makes evident that the end of life (EoL) stage in wood is proportionally much higher than the other materials, and that is because when wood comes out of the building it is effectively releasing the carbon it had sequestered. Studies suggest that most glued laminated timber (80%) at EoL goes to landfill [46], a much higher number than steel (2%) or concrete (35%). EoL includes the emissions from processing waste and from decomposition in the landfill. On the other hand, Module D gives credit to the wood building by assuming use of landfill gas or energy recovery, which is believed to be overstated especially because of the difficulty of making assumptions about processes, market demand and activities that will happen more than 100 years in the future, when new technologies may make the benefits of energy recovery much lower.
Normalizing through building volume adjustments
Normalizing by volume may penalize the more space- and carbon-intensive materials (such as brick), but it still creates a false equivalence between models in a comparison of options for the same building. One way to make the buildings more functionally equivalent is to increase the size of the different building models to offset any losses of function or architectural experience. However, indiscriminately expanding the floor area to equalize the net area among all models may be wasteful, increasing structural spans without a clear need. To better consider the loss of functional area, the plans with the alternative column sizes were visually analyzed against the current layout of rooms. This requires judgment that cannot be provided by algorithms or quantitative models. Due to the generosity of public spaces in this civic building, for the most part structural columns fell into zones where the additional thickness had no functional impact on the space, other than visual. The only noticeable impact in some alternative models, other than some reduction in shaft openings, was the reduction in net clearance for circulation, in particular around the perimeter corridor for judges. Elsewhere, any reductions in net clearance could be managed by shifting the column grid minimally, without impact on spans.
In those cases where the larger columns interfered with a minimum clearance for circulation (wood and masonry only) the building was expanded outwardly by the distance necessary to maintain a 1 m (3.3 ft) clear space between the enclosure and the column (Fig. 8). In the LCA model, this resulted in a larger floor material volume and additional curtain wall area. In this case the buildings are not the same gross area, but they are more similar in terms of function. To also account for the ceiling area lost to the additional depth of floor structure, the wood and concrete buildings were also expanded vertically to maintain the same net clearances and floor-to-ceiling height. This maintains the same height for daylight and interior proportions, but also the same space of plenum for mechanical distribution. The difference in elevation, seen in Fig. 8, creates a more dramatic structure. Furthermore, if the aesthetic of a purely white ceiling was essential to the architectural concept, this approach does not compromise that idea. The LCA for these models accounted for the additional curtain wall area for the taller building.
The results for this analysis (Fig. 9) show again the original ranking of:
\(Steeel\hspace{0.17em}>\hspace{0.17em}masonry\hspace{0.17em}>\hspace{0.17em}concrete\hspace{0.17em}>\hspace{0.17em}wood\)
but with notable differences in relative impact across the years. As the building life increases, the difference in emissions between the steel building and the wood building is reduced much more rapidly than between the steel building and the others, from a ratio of 2.12x (10 years) to 1.99x (60 years) to 1.43x (150 years). This is followed by the closing gap between steel and concrete. The closing gap between steel and masonry is fairly insignificant. The main reason for this closing gap are the emissions associated with the B2-B5 stage of replacement and maintenance. To be clear, these models assume the structural components have the same life as the building in all scenarios, i.e. a robust structure that is completely protected by the enclosure and therefore is not replaced. While there are some minor differences in the maintenance of the different structural systems, for example, reapplying coatings in the wood structure, or repointing the mortar in the masonry structure, these are insignificant in contrast to the relative impact of the enclosure. The curtain wall replacement happens every 60 years, thus its impact only affects the LCA for service lives that are longer than that (150 years in this study). For high-carbon enclosure systems with shorter service lives than the structure, e.g. the courthouse’s curtain wall + louver enclosure replaced twice in a 150 year life—the emissions from multiple replacements accumulate enough to surpass the EC of the structure (Table 2).
Table 2 Change in relative contribution of structural and enclosure components to the LCA in longer-life buildings, for a service life of 60 years and 150 years. These numbers are based on the LCA of the existing steel + concrete structure of the courthouse case study, assuming standard life spans for the enclosure components (curtain wall and louvers) but matching the life of the structural systems to the life of the building After adjustments to building size, the concrete and wood buildings have the two largest areas of enclosure, in that order. As a result, the emissions for the maintenance stage are the first and second highest in these two buildings, respectively. The masonry structure required a much smaller increase in enclosure area, primarily because the floor system was the same as the steel building, and therefore it did not require an increase in height. As a result, the maintenance-related emissions are proportionally much closer to the steel building. The larger upfront investment on the enclosure of this building, and its many replacements simulated over a much longer life of 150 years, also explains why the gap between wood and steel closes more quickly in this method of comparison using adjusted building size, than in the gross area comparison. This method of analysis demonstrates that the interaction between structural system selection and quantity of enclosure-related materials can play a significant role in clarifying the difference in EC between alternative designs. Furthermore, it highlights the importance of moving towards Whole Building LCA aided by qualitative design adjustments, as opposed to analyzing structural systems independently and parametrically.