Life cycle assessment for the green procurement of roads: a way forward

Butt, Ali Azhar; Toller, Susanna; Birgisson, Björn

doi:10.1016/j.jclepro.2014.11.068

Cited by 57 publications

(40 citation statements)

References 23 publications

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“…By contrast, in this case study with low to medium traffic, traffic growth and the emission factors/fuel economy changes do not have a large impact on the results, because they tend to offset each other. Butt et al (2015) discuss the use of attributional and consequential LCA studies for road pavements, where environmental impacts are attributed to products or actions, or the consequences or relative changes of making different decisions are estimated, respectively. These types of study can be used to estimate impacts in standalone studies of a single material or process, or in comparative studies of different choices.…”

Section: Discussionmentioning

confidence: 99%

“…to estimate the environmental impacts of a paving material) but is a problem for comparative LCA studies where different use phase outcomes could result (e.g. where different materials or maintenance programmes will lead to different surface condition) (Butt et al 2015). The use phase represents the longest phase in the life cycle of a pavement, remaining in service for decades (much longer than the construction phase), so it can have a significant environmental impact.…”

Section: Introductionmentioning

confidence: 99%

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Rolling resistance contribution to a road pavement life cycle carbon footprint analysis

Trupia

Parry

Neves

et al. 2016

Int J Life Cycle Assess

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Purpose Although the impact of road pavement surface condition on rolling resistance has been included in the life cycle assessment (LCA) framework of several studies in the last years, there is still a high level of uncertainty concerning the methodological assumptions and the parameters that can affect the results. In order to adopt pavement carbon footprint/ LCA as a decision-making tool, it is necessary to explore the impact of the chosen methods and assumptions on the LCA results. Methods This paper provides a review of the main models describing the impact of the pavement surface properties on vehicle fuel consumption and analyses the influence of the methodological assumptions related to the rolling resistance on the LCA results. It compares the CO 2 emissions, calculated with two different rolling resistance models existing in literature, and performs a sensitivity test on some specific input variables (pavement deterioration rate, traffic growth, and emission factors/fuel efficiency improvement).Results and discussion The model used to calculate the impact of the pavement surface condition on fuel consumption significantly affects the LCA results. The pavement deterioration rate influences the calculation in both models, while traffic growth and fuel efficiency improvement have a limited impact on the vehicle CO 2 emissions resulting from the pavement condition contribution to rolling resistance. Conclusions and recommendationsExisting models linking pavement condition to rolling resistance and hence vehicle emissions are not broadly applicable to the use phase of road pavement LCA and further research is necessary before a widely-used methodology can be defined. The methods of modelling and the methodological assumptions need to be transparent in the analysis of the impact of the pavement surface condition on fuel consumption, in order to be interpreted by decision makers and implemented in an LCA framework. This will be necessary before product category rules (PCR) for pavement LCA can be extended to include the use phase.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Rolling resistance contribution to a road pavement life cycle carbon footprint analysis

Trupia

Parry

Neves

et al. 2016

Int J Life Cycle Assess

View full text Add to dashboard Cite

show abstract

“…Research has shown that this approach can be easily adopted for materials such as concrete [23,24]. Another merit of this method is its utility in evaluation of building [25][26][27][28][29][30] and road construction [31] applications. In view of these merits, this study uses LCA for evaluation of energy consumption, CO 2 emission, and the costs associated with aggregate production and recycling.…”

Section: Methodology and Materialsmentioning

confidence: 99%

Economic and Environmental Evaluation and Optimal Ratio of Natural and Recycled Aggregate Production

Ghanbari

Abbasi

Ravanshadnia

2017

Advances in Materials Science and Engineering

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Steady increase in overexploitation of stone quarries, generation of construction and demolition waste, and costs of preparing extra landfill space have become environmental and waste management challenges in metropolises. In this paper, aggregate production is studied in two scenarios: scenario 1 representing the production of natural aggregates (NA) and scenario 2 representing the production of recycled aggregates (RA). This study consists of two parts. In the first part, the objective is the environmental assessment (energy consumption and CO 2 emission) and economic (cost) evaluation of these two scenarios, which is pursued by life-cycle assessment (LCA) method. In the second part, the results of the first part are used to estimate the optimal combination of production of NA and RA and thereby find an optimal solution (scenario) for a more eco-friendly aggregate production. The defined formulas and relationship are used to develop a model. The results of model validation show that the optimal ratio, in optimal scenario, is 50%. The results show that, compared to scenario 1, optimal scenario improves the energy consumption, CO 2 emissions, and production cost by, respectively, 30%, 36%, and 31%, which demonstrate the effectiveness of this optimization.

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“…It also involves taking into account the appropriate geographical and temporal scope such as the location and the period of the assessment. Different types of decisions are outlined based on at what level of complexity (network or specific project) and at what stage within the planning process (early planning or late planning/design) the decision is to be made (Butt et al 2015). Such decisions influence system boundaries selection by using attributional or consequential LCA.…”

Section: System Boundariesmentioning

confidence: 99%

Life cycle assessment of pavements: reviewing research challenges and opportunities

AzariJafari

Yahia

Amor

2016

Journal of Cleaner Production

143

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Life cycle assessment for the green procurement of roads: a way forward

Cited by 57 publications

References 23 publications

Rolling resistance contribution to a road pavement life cycle carbon footprint analysis

Rolling resistance contribution to a road pavement life cycle carbon footprint analysis

Economic and Environmental Evaluation and Optimal Ratio of Natural and Recycled Aggregate Production

Life cycle assessment of pavements: reviewing research challenges and opportunities

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