A life cycle sustainability assessment (LCSA) of oxymethylene ether as a diesel additive produced from forest biomass

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Due to efforts to reduce dependence on limited fossil energy reserves and increasing GHG emissions related to fossil fuel extraction and use in transportation vehicles, renewable fuel use is growing rapidly. By adding renewable oxygenated fuel additives such as oxymethylene ether (OME) to conventional diesel, combustion GHG emissions can be reduced significantly without modifications to vehicle engines. However, life cycle sustainability assessments (LCSA) of OME production and its use with diesel are scarce. The objective of this paper is to develop an LCSA model of OME production from forest biomass to be used in vehicles as a diesel additive. This study conducts an LCSA of OME production from two types of forest biomass as feedstock, whole tree and forest residue. A framework was developed to assess environmental, economic, and social impacts of unit operations along the life cycle for a functional unit of 1 MJ of heat produced from OME. Then, PROMITHEE (Preference Ranking Organization Method for Enrichment and Evaluation) was used to rank and select the best sustainable pathway for OME production and the most sustainable OME-diesel blend based on a number of indicators. Based on the sustainability assessments results, the forest residue pathway is found to be more sustainable than the whole tree pathway. In addition, the environmental, economic, and social impact results for different OME-diesel blends show that a blend of 10% OME in 90% diesel is the most sustainable fuel mix. Assuming that the GHG emissions from biofuel combustion are offset by CO2 sequestered during plant growth, the biomass production operation contributes the highest global GHG emissions in the OME life cycle; this is due to the high energy intensity of harvesting operations for both pathways (13 gCO2eq/MJ for whole tree and 7.13 gCO2eq/MJ for forest residue). OME production costs are higher for the whole tree (1.92 $/L) than the forest residue pathway (1.71 $/L). All the social indicators (i.e., employment potential and employee wages and benefits) are more favorable in the forest residue pathway. We conducted sensitivity analyses by varying parameters such as sustainability impact weights, threshold values, and indicator impact values. We then determined the parameters’ impacts on overall ranking to verify the robustness of the model. This model can be used to assess and rank other energy technologies that integrate environmental, economic, and social sustainability impacts and thereby contribute to policy-making for the energy industry.

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CitationsShowing 10 of 37 papers
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  • 10.1016/j.eiar.2020.106517
Life cycle sustainability assessment: Lessons learned from case studies
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Life cycle sustainability assessment: Lessons learned from case studies

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Jamaican bioethanol: an environmental and economic life cycle assessment
  • Feb 6, 2021
  • Clean Technologies and Environmental Policy
  • E Batuecas + 5 more

E10 is a blend of 10% bioethanol and 90% gasoline that can be used in the engines of most cars without causing damage. Currently for the E10 blend, Jamaica imports gasoline from Trinidad & Tobago and bioethanol from Brazil because the bioethanol production in Jamaica is at an early stage. However, the country has great potential for bioethanol production. In order to assess the environmental and economic feasibility of bioethanol in Jamaica, this paper presents an economic and environmental life cycle assessment for a case study in Jamaica in two different scenarios. The Baseline Scenario represents the use of E10 in the current conditions in which bioethanol comes from Brazil and gasoline from Trinidad & Tobago. Scenario I represents the use of E10 with bioethanol from Jamaica and gasoline from Trinidad & Tobago. The comparative environmental life cycle assessment revealed that the Baseline Scenario had better results than Scenario I in ten environmental categories. The economic assessment results in Scenario I were 7% higher than in the Baseline Scenario. Hence, the current context (Baseline Scenario) was identified as the scenario with the best economic performance. Therefore, the current situation in Jamaica (Baseline Scenario) scored better results than Scenario I from an environmental and an economical point of views. It is recommended to increase the bagasse cogeneration of Scenario I to lower the environmental impacts. To improve their productivity, it is necessary to improve the Jamaican sugar infrastructure by combining molasses and cane juice to produce bioethanol.

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  • 10.3389/fmech.2021.744172
Numerical Investigation on the Effect of the Oxymethylene Ether-3 (OME3) Blending Ratio in Premixed Sooting Ethylene Flames
  • Aug 27, 2021
  • Frontiers in Mechanical Engineering
  • Robert Schmitz + 3 more

Synthetic fuels, especially oxygenated fuels, which can be used as blending components, make it possible to modify the emission properties of conventional fossil fuels. Among oxygenated fuels, one promising candidate is oxymethylene ether-3 (OME3). In this work, the sooting propensity of ethylene (C2H4) blended with OME3 is numerically investigated on a series of laminar burner-stabilized premixed flames with increasing amounts of OME3, from pure ethylene to pure OME3. The numerical analysis is performed using the Conditional Quadrature Method of Moments combined with a detailed physico-chemical soot model. Two different equivalence ratios corresponding to a lightly and a highly sooting flame condition have been investigated. The study examines how different blending ratios of the two fuels affect soot particle formation and a correlation between OME3 blending ratio and corresponding soot reduction is established. The soot precursor species in the gas-phase are analyzed along with the soot volume fraction of small nanoparticles and large aggregates. Furthermore, the influence of the OME3 blending on the particle size distribution is studied applying the entropy maximization concept. The effect of increasing amounts of OME3 is found to be different for soot nanoparticles and larger aggregates. While OME3 blending significantly reduces the amount of larger aggregates, only large amounts of OME3, close to pure OME3, lead to a considerable suppression of nanoparticles formed throughout the flame. A linear correlation is identified between the OME3 content in the fuel and the reduction in the soot volume fraction of larger aggregates, while smaller blending ratios may lead to an increased number of nanoparticles for some positions in the flame for the richer flame condition.

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  • Research Article
  • Cite Count Icon 23
  • 10.1007/s11367-021-01921-1
Variance-based global sensitivity analysis and beyond in life cycle assessment: an application to geothermal heating networks
  • May 1, 2021
  • The International Journal of Life Cycle Assessment
  • Marc Jaxa-Rozen + 2 more

PurposeGlobal sensitivity analysis increasingly replaces manual sensitivity analysis in life cycle assessment (LCA). Variance-based global sensitivity analysis identifies influential uncertain model input parameters by estimating so-called Sobol indices that represent each parameter’s contribution to the variance in model output. However, this technique can potentially be unreliable when analyzing non-normal model outputs, and it does not inform analysts about specific values of the model input or output that may be decision-relevant. We demonstrate three emerging methods that build on variance-based global sensitivity analysis and that can provide new insights on uncertainty in typical LCA applications that present non-normal output distributions, trade-offs between environmental impacts, and interactions between model inputs.MethodsTo identify influential model inputs, trade-offs, and decision-relevant interactions, we implement techniques for distribution-based global sensitivity analysis (PAWN technique), spectral clustering, and scenario discovery (patient rule induction method: PRIM). We choose these techniques because they are applicable with generic Monte Carlo sampling and common LCA software. We compare these techniques with variance-based Sobol indices, using a previously published LCA case study of geothermal heating networks. We assess eight environmental impacts under uncertainty for three design alternatives, spanning different geothermal production temperatures and heating network configurations.ResultsIn the application case on geothermal heating networks, PAWN distribution-based sensitivity indices generally identify influential model parameters consistently with Sobol indices. However, some discrepancies highlight the potentially misleading interpretation of Sobol indices on the non-normal distributions obtained in our analysis, where variance may not meaningfully describe uncertainty. Spectral clustering highlights groups of model results that present different trade-offs between environmental impacts. Compared to second-order Sobol interaction indices, PRIM then provides more precise information regarding the combinations of input values associated with these different groups of calculated impacts. PAWN indices, spectral clustering, and PRIM have a computational advantage because they yield stable results at relatively small sample sizes (n = 12,000), unlike Sobol indices (n = 100,000 for second-order indices).ConclusionsWe recommend adding these new techniques to global sensitivity analysis in LCA as they give more precise as well as additional insights on uncertainty regardless of the distribution of the model outputs. PAWN distribution-based global sensitivity analysis provides a computationally efficient assessment of input sensitivities as compared to variance-based global sensitivity analysis. The combination of clustering and scenario discovery enables analysts to precisely identify combinations of input parameters or uncertainties associated with different outcomes of environmental impacts.

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Green synthesis of corrosion inhibitor with biomass platform molecule: Gravimetrical, electrochemical, morphological, and theoretical investigations
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Green synthesis of corrosion inhibitor with biomass platform molecule: Gravimetrical, electrochemical, morphological, and theoretical investigations

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A Sustainable Decision-Making Framework for Transitioning to Robotic Welding for Small and Medium Manufacturers
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Small and medium-sized enterprises (SMEs) face challenges in implementing industrial robotics in their manufacturing due to limited resources and expertise. There is still good economic potential in using industrial robotics, however, due to manufacturers leaning toward newer technology and automated processes. The research on sustainability decision-making for transitioning a traditional process to a robotic process is limited for SMEs. This study presents a systemic framework for assessing the sustainability of implementing robotic techniques in key processes that would benefit SMEs. The framework identifies several key economic, technical, and managerial decision-making factors during the transition phase. Sustainability assessments, including cost, environmental impact, and social impact, are used in the framework for engineers and managers to evaluate the technical and sustainability trade-offs of the transition. A case study was conducted on a typical US metal fabrication SME focusing on transitioning a shielded metal arc welding (SMAW) process to a robotic gas metal arc welding (GMAW) process. A sustainability assessment was conducted following the framework. The results suggest that the transition phase involves numerous factors for engineers and managers to consider and the proposed framework will benefit SMEs by providing an analytical method for industrial robotics implementation decision-making.

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Evolution of Life Cycle Sustainability Assessment
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The main objective of this chapter is to provide a brief introduction to how life cycle sustainability assessment (LCSA) evolved, explaining each dimension of sustainability assessment. The key to achieving this sustainable development goal is the protection of the environment. Environmental life cycle assessment (E-LCA) has developed fast over the last three decades. The chapter starts by explaining how E-LCA has developed from simply energy analysis to a comprehensive environmental burden analysis, and also how it has broadened the scope of LCA from studying only environmental impacts to covering all three sustainability aspects (environmental, economic, and social). Further, the analysis of the research paper focusing on sustainability assessment has been done using the keyword analysis and database search method followed by explaining each sustainability dimension which will give a brief insight of overall sustainability assessment.

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Global flowsheet optimization for reductive dimethoxymethane production using data-driven thermodynamic models
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Global flowsheet optimization for reductive dimethoxymethane production using data-driven thermodynamic models

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  • 10.1016/j.pecs.2024.101173
Potential of oxymethylene ethers as renewable diesel substitute
  • Jul 1, 2024
  • Progress in Energy and Combustion Science
  • Heinz Pitsch + 3 more

Oxymethylene ethers (OMEx), are a promising renewable replacement fuel for compression ignition engines. OMEx are largely compatible with current engines, can help to significantly reduce engine-out and tail-pipe emissions while simultaneously reducing the transport sector’s net carbon emissions by gradually replacing fossil diesel fuel. This paper aims to compile and critically review recent research progress on OMEx, following the entire value chain from production to engine application. First, pathways for OMEx production are compiled and compared regarding energy efficiency, fuel production costs and life cycle CO2 balance, showcasing advantages and disadvantages of more advanced production pathways with reduced hydrogen consumption. On the application side, chemical kinetics play a fundamental role in understanding OMEx combustion. Recent progress in understanding the decomposition and combustion of OMEx is discussed and resulting detailed chemical reaction mechanisms from the literature are investigated regarding their accuracy and capabilities. Furthermore, the liquid fuel properties of OMEx are presented and compared with conventional fossil diesel fuel as well as selected other renewable and surrogate fuels, pointing out possible issues and potentials for engine application. In particular, material compatibility is discussed, and suitable sealing materials are identified. Subsequently, the application of OMEx in CI engines is discussed in detail, including the fuel’s potential for engine efficiency increase and significant decrease in engine-out particulate and NOx emissions. Necessary and possible changes to engine design and control, such as longer injection duration or larger injector holes, are outlined. Finally, on a high level, the potential for large-scale application of e-fuels such as OMEx is discussed, and necessary political incentives are pointed out.

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With Rri and Resilience from Technology Assessment to Integrated Sustainability Assessment of Technologies: The Example of Renewable Energy Technologies
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Integrating triple bottom line input–output analysis into life cycle sustainability assessment framework: the case for US buildings
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Principles for the application of life cycle sustainability assessment
  • Aug 18, 2021
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  • The International Journal of Life Cycle Assessment
  • Marzia Traverso + 3 more

The main goal of the paper is to carry out the first implementation of sustainability assessment of the assembly step of photovoltaic (PV) modules production by Life Cycle Sustainability Assessment (LCSA) and the development of the Life Cycle Sustainability Dashboard (LCSD), in order to compare LCSA results of different PV modules. The applicability and practicability of the LCSD is reported thanks to a case study. The results show that LCSA can be considered a valuable tool to support decision-making processes that involve different stakeholders with different knowledge and background. The sustainability performance of the production step of Italian and German polycrystalline silicon modules is assessed using the LCSD. The LCSD is an application oriented to the presentation of an LCSA study. LCSA comprises life cycle assessment (LCA), life cycle costing and social LCA (S-LCA). The primary data collected for the German module are related to two different years, and this led to the evaluation of three different scenarios: a German 2008 module, a German 2009 module, and an Italian 2008 module. According to the LCA results based on Ecoindicator 99, the German module for example has lower values of land use [1.77 potential disappeared fractions (PDF) m2/year] and acidification (3.61 PDF m2/year) than the Italian one (land use 1.99 PDF m2/year, acidification 3.83 PDF m2/year). However, the German module has higher global warming potential [4.5E–05 disability-adjusted life years (DALY)] than the Italian one [3.00E−05 DALY]. The economic costs of the German module are lower than the Italian one, e.g. the cost of electricity per FU for the German module is 0.12 €/m2 compared to the Italian 0.85 €/m2. The S-LCA results show significant differences between German module 2008 and 2009 that represent respectively the best and the worst overall social performances of the three considered scenarios compared by LCSD. The aggregate LCSD results show that the German module 2008 has the best overall sustainability performance and a score of 665 points out of 1,000 (and a colour scale of light green). The Italian module 2008 has the worst overall sustainability performance with a score of 404 points, while the German module 2009 is in the middle with 524 points. The LCSA and LCSD methodologies represent an applicable framework as a tool for supporting decision-making processes which consider sustainable production and consumption. However, there are still challenges for a meaningful application, particularly the questions of the selection of social LCA indicators and how to weigh sets for the LCSD.

  • Research Article
  • Cite Count Icon 137
  • 10.1007/s11367-012-0482-z
Application of LCSA to used cooking oil waste management
  • Aug 7, 2012
  • The International Journal of Life Cycle Assessment
  • Elisabet Vinyes + 4 more

Used cooking oil (UCO) is a domestic waste generated as the result of cooking and frying food with vegetable oil. The purpose of this study is to compare the sustainability of three domestic UCO collection systems: through schools (SCH), door-to-door (DTD), and through urban collection centres (UCC), to determine which systems should be promoted for the collection of UCO in cities in Mediterranean countries. The present paper uses the recent life cycle sustainability assessment (LCSA) methodology. LCSA is the combination of life cycle assessment (LCA), life cycle costing, and social life cycle assessment (S-LCA). Of the three UCO collection systems compared, the results show that UCC presents the best values for sustainability assessment, followed by DTD and finally SCH system, although there are no substantial differences between DTD and SCH. UCC has the best environmental and economic performance but not for social component. DTD and SCH present suitable values for social performance but not for the environmental and economic components. The environmental component improves when the collection points are near to citizens’ homes. Depending on the vehicle used in the collection process, the management costs and efficiency can improve. UCO collection systems that carry out different kind of waste (such as UCC) are more sustainable than those that collect only one type of waste. Regarding the methodology used in this paper, the sustainability assessment proposed is suitable for use in decision making to analyse processes, products or services, even so in social assessment an approach is needed to quantify the indicators. Defining units for sustainability quantification is a difficult task because not all social indicators are quantifiable and comparable; some need to be adapted, raising the subjectivity of the analysis. Research into S-LCA and LCSA is recent; more research is needed in order to improve the methodology.

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  • Book Chapter
  • Cite Count Icon 9
  • 10.1007/978-3-319-48514-0_14
Life Cycle Sustainability Assessment Approaches for Manufacturing
  • Jan 1, 2017
  • Ya-Ju Chang + 4 more

Sustainability assessments considering the three dimensions environment, economy, and society are needed to evaluate manufacturing processes and products with regard to their sustainability performance. This chapter focuses on Life Cycle Sustainability Assessment (LCSA), which considers all three sustainability dimensions by combining the three methods Life Cycle Assessment (LCA), Life Cycle Costing (LCC), and Social Life Cycle Assessment (SLCA). Existing LCSA approaches as well as selected ongoing work are introduced, both regarding the individual approaches as well as the combined LCSA approach. This includes, for instance, the Tiered Approach. This approach facilitates the implementation of LCSA, for instance, within the manufacturing sector, by providing a category hierarchy and guiding practitioners through the various impact and cost categories proposed for the three methods. Furthermore, ongoing developments in LCC and SLCA are presented, such as the definition of first economic and social impact pathways (linking fair wage and level of education to social damage levels) for addressing the current challenges of missing impact pathways for economic and social aspects. In addition, the Sustainability Safeguard Star suggests a new scheme for addressing the inter-linkages between the three sustainability dimensions. These approaches foster the application and implementation of LCSA and thus contribute to developing sustainable processes and products.

  • Book Chapter
  • Cite Count Icon 3
  • 10.1007/978-3-030-67376-5_6
Coupling LCSA and Multi-criteria Decision Analysis for Energy System Prioritization
  • Jan 1, 2021
  • Weichen Li + 3 more

With the emergence of energy problems, how to ensure the sustainability of the energy system has become an important issue. There are already a number of ways to evaluate and rank the sustainability of energy systems. Among them, the method of life cycle sustainability assessment (LCSA) has been paid the most attention by researchers, because it reflects the life cycle thinking and makes the sustainability assessment more comprehensive. However, LCSA also has some weaknesses. In order to solve the problems existing in LCSA, this paper uses multi-criteria decision analysis (MCDA) to integrate the sustainability evaluation criteria with the idea of life cycle. Using grey-DEMATEL and TOPSIS method combined with LCSA, comparable, more objective, more real and more directive sustainability evaluation results were obtained. The case study of power generation system proves that our sustainability evaluation system is effective and can accurately identify key criteria and provide suggestions for subsequent optimization. In this paper, MCDA method is used to integrate life cycle evaluation criteria, which overcomes the difficulty of comprehensive treatment of criteria in LCSA process and reduces the uncertainty in the evaluation process. LCSA also provides good data for the MCDA process and reduces the negative impact of MCDA. A new way of thinking is proposed for the development of sustainability evaluation process.

  • Research Article
  • Cite Count Icon 136
  • 10.1007/s11367-016-1070-4
Integration of system dynamics approach toward deepening and broadening the life cycle sustainability assessment framework: a case for electric vehicles
  • Feb 26, 2016
  • The International Journal of Life Cycle Assessment
  • Nuri C Onat + 3 more

Quantitative life cycle sustainable assessment requires a complex and multidimensional understanding, which cannot be fully covered by the current portfolio of reductionist-oriented tools. Therefore, there is a dire need on a new generation of modeling tools and approaches that can quantitatively assess the economic, social, and environmental dimensions of sustainability in an integrated way. To this end, this research aims to present a practical and novel approach for (1) broadening the existing life cycle sustainability assessment (LCSA) framework by considering macrolevel environmental, economic, and social impacts (termed as the triple bottom line), simultaneously, (2) deepening the existing LCSA framework by capturing the complex dynamic relationships between social, environmental, and economic indicators through causal loop modeling, (3) understanding the dynamic complexity of transportation sustainability for the triple bottom line impacts of alternative vehicles, and finally (4) investigating the impacts of various vehicle-specific scenarios as a novel approach for selection of a macrolevel functional unit considering all of the complex interactions in the environmental, social, and economic aspects. To alleviate these research objectives, we presented a novel methodology to quantify macrolevel social, economic, and environmental impacts of passenger vehicles from an integrated system analysis perspective. An integrated dynamic LCSA model is utilized to analyze the environmental, economic, and social life cycle impact as well as life cycle cost of alternative vehicles in the USA. System dynamics modeling is developed to simulate the US passenger transportation system and its interactions with economy, the environment, and society. Analysis covers manufacturing and operation phase impacts of internal combustion vehicles (ICVs), hybrid electric vehicles (HEVs), plug-in hybrid electric vehicles (PHEVs), and battery electric vehicles (BEVs). In total, seven macrolevel indicators are selected; global warming potential, particulate matter formation, photochemical oxidant formation, vehicle ownership cost, contribution to gross domestic product, employment generation, and human health impacts. Additionally, contribution of vehicle choices to global atmospheric temperature rise and public welfare is investigated. BEVs are found to be a better alternative for most of sustainability impact categories. While some of the benefits such as contribution to employment and GDP, CO2 emission reduction potential of BEVs become greater toward 2050, other sustainability indicators including vehicle ownership cost and human health impacts of BEVs are higher than the other vehicle types on 2010s and 2020s. While the impact shares of manufacturing and operation phases are similar in the early years of 2010s, the contribution of manufacturing phase becomes higher as the vehicle performances increase toward 2050. Analysis results revealed that the US transportation sector, alone, cannot reduce the rapidly increasing atmospheric temperature and the negative impacts of the global climate change, even though the entire fleet is replaced with BEVs. Reducing the atmospheric climate change requires much more ambitious targets and international collaborative efforts. The use of different vehicle types has a small impact on public welfare, which is a function of income, education, and life expectancy indexes. The authors strongly recommend that the dynamic complex and mutual interactions between sustainability indicators should be considered for the future LCSA framework. This approach will be critical to deepen the existing LCSA framework and to go beyond the current LCSA understanding, which provide a snapshot analysis with an isolated view of all pillars of sustainability. Overall, this research is a first empirical study and an important attempt toward developing integrated and dynamic LCSA framework for sustainable transportation research.

  • Research Article
  • Cite Count Icon 63
  • 10.1007/s10668-012-9406-0
Life cycle sustainability assessments (LCSA) of four disposal scenarios for used polyethylene terephthalate (PET) bottles in Mauritius
  • Oct 27, 2012
  • Environment, Development and Sustainability
  • Rajendra Kumar Foolmaun + 1 more

Improper disposal of post-consumer Polythylene Terephthalate (PET) bottles constitutes an eyesore to the environmental landscape and gives rise to numerous envi- ronmental and health-related nuisances. These problems impact negatively on the flour- ishing tourism industry in Mauritius. The present study was therefore undertaken to determine a sustainable disposal method among four selected disposal alternatives of post- consumer PET bottles in Mauritius. The disposal scenarios investigated were: 100 % landfilling (scenario 1); 75 % incineration with energy recovery and 25 % landfilling (scenario 2); 40 % flake production (partial recycling) and 60 % landfilling (scenario 3); and 75 % flake production and 25 % landfilling (scenario 4). Environmental impacts of the disposal alternatives were determined using ISO standardized life cycle assessment (LCA) and the SimaPro 7.1 software. Cost-effectiveness was determined using Life cycle costing (LCC) as described by the recent Code of Practice on LCC. An excel-based model was constructed to calculate the various costs. Social impacts were evaluated using Social Life Cycle Assessment (S-LCA) based on the UNEP/SETAC Guidelines for Social Life Cycle Assessment. For this purpose, a new and simple social life cycle impact assessment method was developed for aggregating inventory results. Finally, Life Cycle Sustainability Assessment (LCSA) was conducted to conclude the sustainable disposal route of post- consumer PET bottles in Mauritius. The methodology proposed to work out LCSA was to combine the three assessment tools: LCA, LCC and S-LCA using the Analytical Hierarchy Process. The results indicated that scenario 4 was the sustainable disposal method of post- consumer PET bottles. Scenario 1 was found to be the worst scenario.

  • Research Article
  • Cite Count Icon 96
  • 10.1007/s11367-016-1044-6
A modeling framework to evaluate sustainability of building construction based on LCSA
  • Feb 17, 2016
  • The International Journal of Life Cycle Assessment
  • Ya Hong Dong + 1 more

Life cycle sustainability assessment (LCSA) is a method that combines three life cycle techniques, viz. environmental life cycle assessment (LCA), life cycle costing (LCC), and social life cycle assessment (S-LCA). This study is intended to develop a LCSA framework and a case study of LCSA for building construction projects. A LCSA framework is proposed to combine the three life cycle techniques. In the modeling phases, three life cycle models are used in the LCSA framework, namely the environmental model of construction (EMoC), cost model of construction (CMoC), and social-impact model of construction (SMoC). A residential building project is applied to the proposed LCSA framework from “cradle to the end of construction” processes to unveil the limitations and future research needs of the LCSA framework. It is found that material extraction and manufacturing account for over 90 % to the environmental impacts while they contribute to 61 % to the construction cost. In terms of social impacts, on-site construction performs better than material extraction and manufacturing, and on-site construction has larger contributions to the positive social impacts. The model outcomes are validated through interviews with local experts in Hong Kong. The result indicates that the performance of the models is generally satisfactory. The case study has confirmed that LCSA is feasible. Being one of the first applications of LCSA on building construction, this study fulfills the current research gap and paves the way for future development of LCSA.

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