An environmental assessment system for environmental technologies

Clavreul, Julie; Baumeister, Hubert; Christensen, Thomas Højlund; Damgaard, Anders

doi:10.1016/j.envsoft.2014.06.007

Cited by 231 publications

(132 citation statements)

References 23 publications

Supporting

Mentioning

130

Contrasting

Unclassified

Order By: Relevance

“…All three scenarios were modelled with EASETECH (Clavreul et al 2014), an LCA model facilitating advanced LCA of waste management systems. The model enables modelling of a reference flow consisting of a mix of material fractions and tracking of substances within the individual material fraction flows, from generation to final release of substances to the environment.…”

Section: Easetech Modelmentioning

confidence: 99%

“…The EASETECH model is based on a layered computational structure (Clavreul et al 2014) and the inventory, the characterization and normalization layers are based on linear equations. Non-linearity only rarely occurs in the material flow layer, and the relatively small differences between sampling and analytical methods' results do not warrant a more complicated method.…”

Section: Combining Scs With Analytical Uncertainty Propagationmentioning

confidence: 99%

“…The technology processes included in the model were obtained from the EASETECH model database (Clavreul et al 2014). The study presents results for climate change (GWP), stratospheric ozone depletion (ODP), human toxicity, cancer (HTc) and non-cancer (HTnc) effects, particulate matter (PM), ionizing radiation (IR), photochemical ozone formation (POFP), terrestrial acidification (TA), terrestrial eutrophication (TE), freshwater eutrophication (FE), marine eutrophication (ME), freshwater ecotoxicity (ET), fossil resources depletion (RDfos), metals/minerals depletion (RD).…”

Section: Case Study Scenarios and Impact Categoriesmentioning

confidence: 99%

“…Three full-scale waste management alternatives for municipal solid waste in Denmark were modelled with the dedicated waste LCA model EASETECH (Clavreul et al 2014). A sensitivity analysis was carried out according to the sequential approach described in Clavreul et al (2012); then, uncertainties were propagated (i) analytically and (ii) by means of Monte Carlo sampling.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A global approach for sparse representation of uncertainty in Life Cycle Assessments of waste management systems

Bisinella

Conradsen

Christensen

et al. 2016

Int J Life Cycle Assess

121

View full text Add to dashboard Cite

Purpose Identification of key inputs and their effect on results from Life Cycle Assessment (LCA) models is fundamental.Because parameter importance varies greatly between cases due to the interaction of sensitivity and uncertainty, these features should never be defined a priori. However, exhaustive parametrical uncertainty analyses may potentially be complicated and demanding, both with analytical and sampling methods. Therefore, we propose a systematic method for selection of critical parameters based on a simplified analytical formulation that unifies the concepts of sensitivity and uncertainty in a Global Sensitivity Analysis (GSA) framework. MethodsThe proposed analytical method based on the calculation of Sensitivity Coefficients (SC) is evaluated against Monte Carlo sampling on traditional uncertainty assessment procedures, both for individual parameters and for full parameter sets. Three full-scale waste management scenarios are modelled with the dedicated waste LCA model EASETECH and a full range of ILCD recommended impact categories. Common uncertainty ranges of 10 % are used for all parameters, which we assume to be normally distributed. The applicability of the concepts of additivity of variances and GSA is tested on results from both uncertainty propagation methods. Then, we examine the differences in discernibility analyses results carried out with varying numbers of sampling points and parameters.Results and discussion The proposed analytical method complies with the Monte Carlo results for all scenarios and impact categories but offers substantially simpler mathematical formulation and shorter computation times. The coefficients of variation obtained with the analytical method and Monte Carlo differ only by 1 %, indicating that the analytical method provides a reliable representation of uncertainties and allows determination of whether a discernibility analysis is required.The additivity of variances and the GSA approach show that the uncertainty in results is determined by a limited set of important parameters. The results of the discernibility analysis based on these critical parameters vary only by 1 % from discernibility analyses based on the full set but require significantly fewer Monte Carlo runs. ConclusionsThe proposed method and GSA framework provide a fast and valuable approximation for uncertainty quantification. Uncertainty can be represented sparsely by contextually identifying important parameters in a systematic manner. The proposed method integrates with existing step-wise approaches for uncertainty analysis by introducing a global importance analysis before uncertainty propagation.

show abstract

Section: Easetech Modelmentioning

confidence: 99%

Section: Combining Scs With Analytical Uncertainty Propagationmentioning

confidence: 99%

Section: Case Study Scenarios and Impact Categoriesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A global approach for sparse representation of uncertainty in Life Cycle Assessments of waste management systems

Bisinella

Conradsen

Christensen

et al. 2016

Int J Life Cycle Assess

121

View full text Add to dashboard Cite

show abstract

“…These indicator scores express the relative severity on an environmental impact category. EASETECH calculates the normalised impacts based on the Life Cycle Inventory (LCI) result and the normalisation factors [10]. The ReCiPe method comprises 18 midpoint categories.…”

Section: Lca Methods For Waste Management Systemsmentioning

confidence: 99%

The environmental impact of municipal waste management systems

Grzesik

2018

E3S Web Conf.

View full text Add to dashboard Cite

Abstract. An efficient and effective waste management system is one of the key issues for urban areas. Such a waste management system should be effective and economically viable with minimal environmental impact. The Life Cycle Assessment (LCA) methodology is an effective tool for identifying and assessing environmental impacts, it also enables comparing alternative waste management options. The aim of this study is to identify and assess the environmental impacts caused by the waste management system of mixed municipal waste for the city of Krakow for the year 2017. Three scenarios are evaluated for mixed waste: 1) incineration in a new waste-to-energy plant, 2) mechanical-biological treatment (MBT), ballast and stabilized waste is landfilled, refuse derived fuel (RDF) is produced but not incinerated, 3) treatment in the MBT plant, with incineration of RDF in the waste-to-energy plant. The results of modelling show that all scenarios exert a negative impact on the environment in some impact categories, while in other categories -a positive impact. Taking into account the values in all impact categories, the scenario with the lowest overall environmental impact is MBT with incineration.

show abstract

Decarbonizing university campuses: A business model for food waste management at Istanbul Technical University (İTÜ) Ayazağa Campus, Turkey

Maçin,

Arıkan,

Altınbaş

et al. 2023

Env Prog and Sustain Energy

Self Cite

View full text Add to dashboard Cite

Food waste is a significant environmental issue today, as it contributes to depleting natural resources and greenhouse gas emissions from improper management. To address this, alternative food waste management and recovery strategies must be developed to promote nutrient recirculation and move towards decarbonization. University campuses could play a crucial role in pioneering such strategies, through pilot studies and implementation of effective waste management. The aim of this study is to devise a food waste management strategy that provides a more circular and decarbonized economy. A case example was developed based on ITU Ayazağa Campus, Turkey, with annual separated food waste of 577 tonne per year. A Life Cycle Assessment was conducted using the EASETECH software. Four scenarios were evaluated: anaerobic digestion, composting, incineration, and landfill. Of these, incineration resulted in the highest CO2‐eq savings, but lacked decoupling and circularity of resources. Conversely, anaerobic digestion demonstrated the highest circularity and lowest toxicity. Based on these findings, anaerobic digestion was selected for further investigation. Economic transactions for the anaerobic digestion system's business models were analyzed, including revenues, municipality fees, and operating costs. The new economic model is expected to align with circular economy strategies and promote stakeholder collaboration as a significant social outcome.

show abstract

An environmental assessment system for environmental technologies

Cited by 231 publications

References 23 publications

A global approach for sparse representation of uncertainty in Life Cycle Assessments of waste management systems

A global approach for sparse representation of uncertainty in Life Cycle Assessments of waste management systems

The environmental impact of municipal waste management systems

Decarbonizing university campuses: A business model for food waste management at Istanbul Technical University (İTÜ) Ayazağa Campus, Turkey

Contact Info

Product

Resources

About