Production of natural and recycled aggregates: the environmental impacts of energy consumption and CO2 emissions

Ghanbari, Milad; Abbasi, Armin Monir; Ravanshadnia, Mehdi

doi:10.1007/s10163-017-0640-2

Cited by 60 publications

(35 citation statements)

References 25 publications

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“…Thus, we need to discuss applying the CO 2 emissions sensitivity to the related parameters. According to [34,37], uncertainties in LCA of waste management systems for recycling process consist of scenario uncertainty and parameter uncertainty. As the aim of perturbation analysis is to determine the effect of an arbitrary change of single parameter values on the model's result, the sensitivity coefficient (SC) is the ratio between the two generated absolutes [37].…”

Section: Resultsmentioning

confidence: 99%

“…In the present study, each parameter value is individually varied by a small increase; then the variation of the result is calculated. According to [34,37], the sensitivity coefficient could be calculated by (9). Based on (3), the CO 2 emission is function of CO 2 emission factor and energy consumption which has two operational phases or two steps.…”

Section: Resultsmentioning

confidence: 99%

“…Virgin or natural aggregate (NA) refers to the products that are mined by blasting or excavation and then crushed and processed in a crushing plant [34]. Recycled aggregates however are those that are obtained from a recycling plant set-up in a landfill.…”

Section: Goal Boundary and Inventory Modelingmentioning

confidence: 99%

“…The second stage is called processing or crushing phase, but this operation as a whole (scenario 1) is also referred to with the terms such as aggregate crushing and aggregate production. The process of recycling aggregates (scenario 2) is similar to natural aggregates production (scenario 1), except that the procedure of crushing and recycling and the used machinery are different [34].…”

Section: Description Of the Production And Recycling Facilitymentioning

confidence: 99%

“…The basic approach of the majority of countries to aggregates production is based on two mentioned scenarios, in both of which the first phase is based on diesel equipment, and the second phase is based on electric equipment (see Table 1). The energy (diesel and electricity) that is consumed by the plants is called the final energy and is equivalent to energy demand [34,35]. But this energy (final) is a product of an initial source known as the primary energy (e.g., crude oil).…”

Section: Created Economic and Environmental Analysis-optimization Modelmentioning

confidence: 99%

See 4 more Smart Citations

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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Section: Resultsmentioning

confidence: 99%