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“The idea of weak sustainability is illegitimate”. Biely K, Maes D, Van Passel S, Environment, development and sustainability 20, 223 (2018). http://doi.org/10.1007/S10668-016-9878-4
Abstract: Since the introduction of the sustainability challenge, scientists disagree over the interpretation of the term sustainability. Weak and strong sustainability are the two main interpretations of sustainability, which are opposing each other. Some researchers stated that the interpretation of the term depends on the context; others disagree pointing out that it always implies the meaning of continuation. The term sustainability can be used as attribute, which adds a certain characteristic to the noun. If something can be attributed as being sustainable, it can also be unsustainable. The sustainability challenge consists of shifting from the current unsustainable towards a sustainable system. This paper outlines that the weak sustainability term is illegitimate, as it leads to a contradiction with the acknowledged assumption that the current state is unsustainable. This contradiction is revealed through an analysis of the occurrence of decoupling in agriculture: Agricultural land use could be decoupled from agricultural production, but only with the trade-off of massive increases in fertilizer, pesticide, energy and water usage. This paper outlines an inherent inconsistency within the ongoing discussion about the interpretation of sustainability. Through identifying the invalidity of the weak sustainability interpretation the focus can be shifted form the discourse to the sustainability challenge itself.
Keywords: A1 Journal article; Economics; Engineering sciences. Technology; Engineering Management (ENM)
Times cited: 1
DOI: 10.1007/S10668-016-9878-4
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“How participation in vegetables market affects livelihoods : empirical evidence from Northern Ethiopia”. Gebrehiwot NT, Azadi H, Taheri F, Van Passel S, Journal of international food and agribusiness marketing 30, 107 (2018). http://doi.org/10.1080/08974438.2017.1402725
Abstract: Vegetable farmers face a number of challenges in marketing. Having first-hand information about vegetable marketing is essential to devise appropriate strategies aimed at enhancing the value of the vegetable chain. It was in line with this view that the study was conducted to characterize vegetable markets in Northern Ethiopia. In an effort to identify the factors influencing vegetable marketing among farmers, data were collected from 283 farm households who were selected using stratified random sampling. Furthermore, the data were triangulated through focus group discussion (FGD) and key informant interviews. Descriptive statistics and the binary logistic regression model were used to identify the variables and test the probability of their influence in regard to farmers decisions in vegetable marketing. From the 13 explanatory variables included in the binary logistic regression model, six predictors were found to be statistically significant in determining the effects of participation decision on vegetable market. These variables are as follows: household family size, total land holding of the household, amount of vegetable produced and marketed, use of irrigation technologies, contact with extension agents, and access to market information. Relying on a survey result and observations, the findings of the study indicated that vegetable marketing is significantly improving the livelihood of smallholder producers.
Keywords: A1 Journal article; Economics; Engineering Management (ENM)
DOI: 10.1080/08974438.2017.1402725
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“Enhanced landfill mining at the REMO site : assessing stakeholders' perspectives for implementation”. Einhäupl P, Krook J, Svensson N, Van Acker K, Van Passel S, Proceedings of the 4th International Symposium on Enhanced Landfill Mining, February 5-6, 2018, Mechelen, Belgium / Jones, Peter Tom [edit.], Machiels, Lieven [edit.] (2018)
Keywords: P3 Proceeding; Engineering sciences. Technology; Engineering Management (ENM)
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“Effects of supply chain management on tomato export in Iran : application of structural equation modeling”. Fatemi M, Azadi H, Rafiaani P, Taheri F, Dubois T, Van Passel S, Witlox F, Journal of food products marketing 24, 177 (2018). http://doi.org/10.1080/10454446.2017.1266552
Abstract: Although Iran is one of the top 10 countries in the world that produce tomatoes, the level that they are exported into the global market is low. This issue may have resulted from a major problem within tomatoes supply chain management. This paper aims to develop an empirical model of the supply chain management (SCM) of tomato companies. Throughout the reviewed literature, a SCM construct with different six indicators has been developed, including information sharing, long-term relationship, cooperation, quality, flexibility, and delivery. In this study, the influence of the SCM components on tomato export was identified through the use of empirical data that were collected from 20 different tomato companies in Northeast Iran. Using structural equation modeling, the major elements of SCM were found to have significant impacts on the export of tomatoes. The results also showed that information sharing, cooperation, flexibility, quality, and delivery had significant positive effects on the export of tomatoes.
Keywords: A1 Journal article; Economics; Engineering Management (ENM); Government and Law
Times cited: 2
DOI: 10.1080/10454446.2017.1266552
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“Economic and environmental multi-objective optimization to evaluate the impact of Belgian policy on solar power and electric vehicles”. De Schepper E, Van Passel S, Lizin S, Vincent T, Martin B, Gandibleux X, Journal of environmental economics and policy 5, 1 (2016). http://doi.org/10.1080/21606544.2015.1019569
Abstract: This research uses multi-objective optimisation to determine the optimal mixture of energy and transportation technologies, while optimising economic and environmental impacts. We demonstrate the added value of using multi-objective mixed integer linear programming (MOMILP) considering economies of scale versus using continuous multi-objective linear programming assuming average cost intervals. This paper uses an improved version to solve MOMILPs exactly. To differentiate optimal solutions with and without subsidies, the impact of policy on the Pareto frontier is assessed. We distinguish between minimising economic life cycle costs (complete rationality) and required investments (bounded rationality). The approach is illustrated using a Belgian company with demands for electricity and transport. Electricity technologies are solar photovoltaics and the grid; transportation includes internal combustion engine vehicles, grid powered battery electric vehicles (BEVs), and solar-powered BEVs. The impact of grid powered BEVs to reduce GHG emissions is limited, yet they are less costly than solar panels to decrease emissions. Current policy measures are found to be properly targeting rational investors who consider life cycle costs, while private (potentially bounded rational) investors often focus on required investments only.
Keywords: A1 Journal article; Economics; Engineering Management (ENM)
DOI: 10.1080/21606544.2015.1019569
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“Dissecting demand response : a quantile analysis of flexibility, household attitudes, and demographics”. Srivastava A, Van Passel S, Laes E, Energy Research and Social Science 52, 169 (2019). http://doi.org/10.1016/J.ERSS.2019.02.011
Abstract: Demand response (DR) can aid with grid integration of renewables, ensuring security of supply, and reducing generation costs. However, not enough is known about how residential customers’ perceptions of DR shape their response to such programs. This paper offers a deeper understanding of – and reveals the heterogeneity in – this relationship by conducting a quantile regression analysis of a Belgian DR trial, combining data on response with information on household attitudes towards smart appliances. Results overall suggest that improving response requires subtle shifts in electricity consumption behaviour, which can be achieved through changes in user perceptions. Specifically, if customers are inclined to be flexible, a stronger perception of smart appliances as being beneficial can greatly improve response. With those who are less flexible, the cost of smart appliances is a bigger concern. Thus, when designing DR programs, policymakers should aim to promote modest behaviour changes – so as to minimise inconvenience – in customers, by improving awareness on the benefits of smart appliances. Uptake of such DR programs may be improved by explaining the financial benefits or offering incentives to less flexible population segments. Lastly, improving response among older population segments will require a deeper investigation into their concerns.
Keywords: A1 Journal article; Economics; Engineering Management (ENM)
Times cited: 1
DOI: 10.1016/J.ERSS.2019.02.011
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“Developing stakeholder archetypes for enhanced landfill mining”. Einhäupl P, Van Acker K, Svensson N, Van Passel S, Detritus Volume 08 - December 2019, 1 (2019). http://doi.org/10.31025/2611-4135/2019.13882
Abstract: Understanding the perspectives of different stakeholders on emerging technological concepts is an important step towards their implementation. Enhanced Landfill Mining (ELFM) is one of these emerging concepts. It aims at valorizing past waste streams to higher added values in a sustainable manner. Yet, assessment of ELFM mainly focusses on environmental and private economic issues, and societal impacts are rarely analyzed. This study uses semi-structured interviews to build understanding for different ELFM practitioners and researchers and develops five stakeholder archetypes for ELFM implementation: the Engaged Citizen, the Entrepreneur, the Technology Enthusiast, the Visionary and the Skeptic. The archetypes outline major differences in approaching ELFM implementation. The stakeholder perceptions are put into context with existing literature, and implications for ELFM implementation and future research are discussed. Results show that differences in regulatory changes and technology choices are affected by different stakeholder perspectives and more research is needed to balance inner- and inter-dimensional conflicts of ELFM's sustainability. The developed archetypes can especially be helpful when evaluating social impacts, whose perception often depends on opinion and is difficult to quantify.
Keywords: A1 Journal article; Engineering Management (ENM)
DOI: 10.31025/2611-4135/2019.13882
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“Determinants of internal governance quality : evidence from corporations in Ethiopia”. Adane YG, Engida TG, Asfaw YA, Azadi H, Van Passel S, Cogent economics &, finance 6, 1537051 (2018). http://doi.org/10.1080/23322039.2018.1537051
Abstract: The study analysed the factors that affect the internal governance quality of corporations in Ethiopia. It performed an ordered logistic regression analysis on a randomly selected sample of 76 corporations to analyse the effect of the ownership structure, form of ownership (private or government), leverage, corporate size, and sales growth on the internal governance quality score (IGQS). The governance quality score was measured using 20 indices categorized into four perspectives: disclosure, board characteristics, ethics, and shareholder rights. In this study, a significant positive effect of the corporate size and sales growth on the IGQS was found. In addition, government-owned corporations were found to perform better than privately owned corporations. It is recommended that appropriate authorities and officials should encourage the use of the corporate governance system in privately owned corporations and the convergence of internal governance quality of the two groups of corporations to the highest level.
Keywords: A1 Journal article; Economics; Engineering Management (ENM)
DOI: 10.1080/23322039.2018.1537051
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“Climate variable choice in Ricardian studies of European Agriculture”. Vaitkeviciute J, Chakir R, Van Passel S, Revue économique 70, 375 (2019). http://doi.org/10.3917/RECO.703.0375
Abstract: The Ricardian model has been employed frequently to study the impact of climate change on European agriculture. This paper contributes to this literature by using a panel data of FADN EU regions and the period 2004-2012 and by taking into account both individual heterogeneity as well as spatial autocorrelation among EU regions. We tested three hypotheses related to the degree days model. Our results show that climate outside the defined growing season matters for European agriculture, and excluding it could underestimate climate change impacts. Our results should support public policy decisions about efficient and effective mitigation and adaptation policy measures in EU agriculture.
Keywords: A1 Journal article; Economics; Engineering Management (ENM)
DOI: 10.3917/RECO.703.0375
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“Causal loop diagrams to systematically analyze market power in the Belgian sugar value chain”. Biely K, Mathijs E, Van Passel S, AIMS Agriculture and Food 4, 711 (2019). http://doi.org/10.3934/AGRFOOD.2019.3.711
Abstract: It has been acknowledged that power is a fundamental aspect that needs to be considered when performing a value chain analysis. The structure of the value chain is indicative of the power distribution along the chain. By employing systems thinking the structure of the value chain can be further investigated and inferences on market power issues can be made. This novel approach connects value chain research with insights from Industrial Organization (IO) literature. Depending on the case, market power may not be measurable by traditional economic tools. Systems thinking offers an alternative tool, allowing the employment of qualitative and quantitative data, overcoming drawbacks of IO methods and providing more depth to value chain analysis. In this paper the valuable contribution of systems thinking to market power analysis is exemplified by the Belgian sugar beet case. The analysis showed that transportability and perishability of sugar beet are key causes of market failure in the Belgian sugar value chain. Systems thinking can support understanding potential future behavior of the market based on the thorough understanding of the current market structure. We illustrate how to integrate factors determining the market structure into causal loop diagrams. This novel approach allows a comprehensive evaluation and thus opens up market power analysis to interdisciplinary research.
Keywords: A1 Journal article; Engineering Management (ENM)
DOI: 10.3934/AGRFOOD.2019.3.711
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“Assessing the economic potential of landfill mining : review and recommendations”. Esguerra JL, Krook J, Svensson N, Van Passel S, Detritus Volume 08 - December 2019, 1 (2019). http://doi.org/10.31025/2611-4135/2019.13883
Abstract: As landfill mining (LFM) gains public attention, systematic assessment of its economic potential is deemed necessary. The aim of this review is to critically analyze the usefulness and validity of previous economic assessments of LFM. Following the life cycle costing (LCC) framework, (i) the employed methods based on goal and scope, technical parameters and data inventory, and modelling choices were contrasted with respect to (ii) the synthesized main findings based on net profitability and economic performance drivers. Results showed that the selected studies (n=15) are mostly case study-specific and concluded that LFM has a weak economic potential, hinting at the importance of favorable market and regulation settings. However, several method issues are apparent as costs and revenues are accounted at different levels of aggregation, scope and scale-from process to sub-process level, from private to societal economics, and from laboratory to pilot-scale, respectively. Moreover, despite the inherent large uncertainties, more than half of the studies did not perform any uncertainty or sensitivity analyses posing validity issues. Consequently, this also limits the usefulness of results as individual case studies and as a collective, towards a generic understanding of LFM economics. Irrespective of case study-specific or generic aims, this review recommends that future assessments should be learning-oriented. That is, uncovering granular information about what builds up the net profitability of LFM, to be able to systematically determine promising paths for the development of cost-efficient projects.
Keywords: A1 Journal article; Engineering Management (ENM)
DOI: 10.31025/2611-4135/2019.13883
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“Assessing the success of electricity demand response programs : a meta-analysis”. Srivastava A, Van Passel S, Laes E, Energy Research and Social Science 40, 110 (2018). http://doi.org/10.1016/J.ERSS.2017.12.005
Abstract: This paper conducts a meta-analysis of 32 electricity demand response programs in the residential sector to understand whether their success is dependent on specific characteristics. The paper analyses several regression models using various combinations of variables that capture the designs of the programs and the socio-economic conditions in which the programs are implemented. The analysis reveals that demand response programs are more likely to succeed in highly urbanized areas, in areas where economic growth rates are high, and in areas where the renewable energy policy is favorable. These findings provide useful guidance in determining where and how to implement future demand response programs.
Keywords: A1 Journal article; Economics; Engineering Management (ENM)
Times cited: 18
DOI: 10.1016/J.ERSS.2017.12.005
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“An agent-based model of farmer behaviour to explain the limited adaptability of Flemish agriculture”. Maes D, Van Passel S, Environmental Innovation and Societal Transitions 22, 63 (2017). http://doi.org/10.1016/J.EIST.2016.06.001
Abstract: Transition projects have been implemented for Flemish agriculture since 2003, but these did not enable a transformation of the agricultural sector. This paper looks at pre-transition scenarios that have been collectively designed by stakeholders of the agricultural sector in 2002. These foresaw decreases in the regional animal stocks in Flanders. However, the real evolution of the sector did not reveal such a decrease. It is assumed that the individual adaptive behaviour of farmers can explain the unexpected stability of the Flemish agricultural sector. A detailed agent-based model has been built to replicate the past evolution, accounting for structural diversity of farmers, heterogeneity in behaviour, and natural resource constraints. The results indicate that different forms of rigidity in the individual behaviour of farmers slow down the adaptation of the agricultural sector. Future transition scenarios should account for these elements in order not to overestimate the speed of change in the sector. (C) 2016 Elsevier B.V. All rights reserved.
Keywords: A1 Journal article; Engineering Management (ENM)
Times cited: 1
DOI: 10.1016/J.EIST.2016.06.001
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Yao X (2019) An advanced TEM study on quantification of Ni4Ti3 precipitates in low temperature aged Ni-Ti shape memory alloy. 149 p
Keywords: Doctoral thesis; Electron microscopy for materials research (EMAT)
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Callaert C (2020) Characterization of defects, modulations and surface layers in topological insulators and structurally related compounds. 180 p
Keywords: Doctoral thesis; Electron microscopy for materials research (EMAT)
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“Composite super-moiré, lattices in double-aligned graphene heterostructures = Composite super-moire lattices in double-aligned graphene heterostructures”. Wang Z, Wang YB, Yin J, Tovari E, Yang Y, Lin L, Holwill M, Birkbeck J, Perello DJ, Xu S, Zultak J, Gorbachev RV, Kretinin AV, Taniguchi T, Watanabe K, Morozov SV, Andelkovic M, Milovanović, SP, Covaci L, Peeters FM, Mishchenko A, Geim AK, Novoselov KS, Fal'ko VI, Knothe A, Woods CR, Science Advances 5, eaay8897 (2019). http://doi.org/10.1126/SCIADV.AAY8897
Abstract: When two-dimensional (2D) atomic crystals are brought into close proximity to form a van der Waals heterostructure, neighbouring crystals may influence each other's properties. Of particular interest is when the two crystals closely match and a moire pattern forms, resulting in modified electronic and excitonic spectra, crystal reconstruction, and more. Thus, moire patterns are a viable tool for controlling the properties of 2D materials. However, the difference in periodicity of the two crystals limits the reconstruction and, thus, is a barrier to the low-energy regime. Here, we present a route to spectrum reconstruction at all energies. By using graphene which is aligned to two hexagonal boron nitride layers, one can make electrons scatter in the differential moire pattern which results in spectral changes at arbitrarily low energies. Further, we demonstrate that the strength of this potential relies crucially on the atomic reconstruction of graphene within the differential moire super cell.
Keywords: A1 Journal article; Engineering sciences. Technology; Electron microscopy for materials research (EMAT); Condensed Matter Theory (CMT)
Times cited: 71
DOI: 10.1126/SCIADV.AAY8897
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Trenchev G (2019) Computational modelling of atmospheric DC discharges for CO2 conversion. 206 p
Keywords: Doctoral thesis; Plasma Lab for Applications in Sustainability and Medicine – Antwerp (PLASMANT)
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“Datasets for the analysis of dislocations at grain boundaries and during vein formation in cyclically deformed Ni micropillars”. Sandfeld S, Samaee V, Idrissi H, Groten J, Pardoen T, Schwaiger R, Schryvers D, Data in Brief 27, 104724 (2019). http://doi.org/10.1016/J.DIB.2019.104724
Abstract: The dataset together with the corresponding Python scripts and Jupyter notebooks presented in this article are supplementary data for the work presented in Samaee et al., 2019 [1]. The data itself consists of two parts: the simulation data that was used in [1] to analyze the effect of a particular grain boundary on curved dislocations and the precession electron diffraction (PED) strain maps together with post-processed data for analyzing details of the observed dislocation vein structures. Additionally, the complete stress tensor components, which are not shown in [1], have also been included. The data sets are accompanied by Python code explaining the file formats and showing how to post-process the data. (c) 2019 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: A1 Journal article; Engineering sciences. Technology; Electron microscopy for materials research (EMAT)
DOI: 10.1016/J.DIB.2019.104724
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Van der Paal J (2019) Generation, transport and molecular interactions of reactive species in plasma medicine. 237 p
Keywords: Doctoral thesis; Plasma Lab for Applications in Sustainability and Medicine – Antwerp (PLASMANT)
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Vets C (2020) Growth properties of carbon nanomaterials : towards tuning for electronic applications. 130 p
Keywords: Doctoral thesis; Plasma Lab for Applications in Sustainability and Medicine – Antwerp (PLASMANT)
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Pourbabak S (2020) Influence of nano and microstructural features and defects in finegrained NiTi on the thermal and mechanical reversibility of the martensitic transformation. 166 p
Keywords: Doctoral thesis; Electron microscopy for materials research (EMAT)
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Lumbeeck G (2019) Mechanisms of nano-plasticity in as-deposited and hydrided nanocrystalline Pd and Ni thin films. 130 p
Keywords: Doctoral thesis; Electron microscopy for materials research (EMAT)
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“Nickel-containing N-doped carbon as effective electrocatalysts for the reduction of CO2 to CO in a continuous-flow electrolyzer”. Daems N, De Mot B, Choukroun D, Van Daele K, Li C, Hubin A, Bals S, Hereijgers J, Breugelmans T, Sustainable energy &, fuels 4, 1296 (2019). http://doi.org/10.1039/C9SE00814D
Abstract: Nickel-containing N-doped carbons were synthesized for the electrochemical reduction of CO2 to CO, which is a promising approach to reduce the atmospheric CO2 levels and its negative impact on the environment. Unfortunately, poor performance (activity, selectivity and/or stability) is still a major hurdle for the economical implementation of this type of materials. The electrocatalysts were prepared through an easily up-scalable and easily tunable method based on the pyrolysis of Ni-containing N-doped carbons. Ni–N–AC–B1 synthesized with a high relative amount of nitrogen and nickel with respect to carbon, was identified as the most promising candidate for this reaction based on its partial CO current density (4.2 mA cm−2), its overpotential (0.57 V) and its faradaic efficiency to CO (>99%). This results in unprecedented values for the current density per g active sites (690 A g−1 active sites). Combined with its decent stability and its high performance in an actual electrolyzer setup, this makes it a promising candidate for the electrochemical reduction of CO2 to CO on a larger scale. Finally, the evaluation of this kind of material in a flow-cell setup has been limited and to the best of our knowledge never included an evaluation of several crucial parameters (e.g. electrolyte type, anode composition and membrane type) and is an essential investigation in the move towards up-scaling and ultimately industrial application of this technique. This study resulted in an optimal cell configuration, consisting of Pt as an anode, Fumatech® as the membrane and 1 M KHCO3 and 2 M KOH as catholyte and anolyte, respectively. In conclusion, this research offers a unique combination of electrocatalyst development and reactor optimization.
Keywords: A1 Journal article; Engineering sciences. Technology; Electron microscopy for materials research (EMAT); Applied Electrochemistry & Catalysis (ELCAT)
Times cited: 14
DOI: 10.1039/C9SE00814D
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Anđ,elković, M (2019) O(N) numerical methods for investigating graphene heterostructures and moiré patterns. 207 p
Keywords: Doctoral thesis; Condensed Matter Theory (CMT)
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Chuon S (2019) Simulation numérique multi-échelles du procédé de dépôt par pulvérisation cathodique magnétron. 137 p
Keywords: Doctoral thesis; Plasma Lab for Applications in Sustainability and Medicine – Antwerp (PLASMANT)
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“Defect‐Directed Growth of Symmetrically Branched Metal Nanocrystals”. Smith JD, Bladt E, Burkhart JAC, Winckelmans N, Koczkur KM, Ashberry HM, Bals S, Skrabalak SE, Angewandte Chemie (International ed. Print) 132, 953 (2020). http://doi.org/10.1002/ange.201913301
Abstract: Branched plasmonic nanocrystals (NCs) have attracted much attention due to electric field enhancements at their tips. Seeded growth provides routes to NCs with defined branching patterns and, in turn, near‐field distributions with defined symmetries. Here, a systematic analysis was undertaken in which seeds containing different distributions of planar defects were used to grow branched NCs in order to understand how their distributions direct the branching. Characterization of the products by multimode electron tomography and analysis of the NC morphologies at different overgrowth stages indicate that the branching patterns are directed by the seed defects, with the emergence of branches from the seed faces consistent with minimizing volumetric strain energy at the expense of surface energy. These results contrast with growth of branched NCs from single‐crystalline seeds and provide a new platform for the synthesis of symmetrically branched plasmonic NCs.
Keywords: A1 Journal article; Electron microscopy for materials research (EMAT)
DOI: 10.1002/ange.201913301
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“Sub-ppm H2S sensing by tubular ZnO-Co3O4 nanofibers”. Rumyantseva MN, Vladimirova SA, Platonov VB, Chizhov AS, Batuk M, Hadermann J, Khmelevsky NO, Gaskov AM, Sensors And Actuators B-Chemical 307, 127624 (2020). http://doi.org/10.1016/j.snb.2019.127624
Abstract: Tubular ZnO – Co3O4 nanofibers were co-electrospun from polymer solution containing zinc and cobalt acetates. Phase composition, cobalt electronic state and element distribution in the fibers were investigated by XRD, SEM, HRTEM, HAADF-STEM with EDX mapping, and XPS. Bare ZnO has high selective sensitivity to NO and NO2, while ZnO-Co3O4 composites demonstrate selective sensitivity to H2S in dry and humid air. This effect is discussed in terms of transformation of cobalt oxides into cobalt sulfides and change in the acidity of ZnO oxide surface upon cobalt doping. Reduction in response and recovery time is attributed to the formation of a tubular structure facilitating gas transport through the sensitive layer.
Keywords: A1 Journal article; Electron microscopy for materials research (EMAT)
Impact Factor: 5.401
DOI: 10.1016/j.snb.2019.127624
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“Identifying Social Indicators for Sustainability Assessment of CCU Technologies: A Modified Multi-criteria Decision Making”. Rafiaani P, Dikopoulou Z, Van Dael M, Kuppens T, Azadi H, Lebailly P, Van Passel S, Social Indicators Research 147, 15 (2020). http://doi.org/10.1007/s11205-019-02154-4
Abstract: Carbon capture and utilization (CCU) technologies capture CO2 waste emissions and utilize them to generate new products (such as fuels, chemicals, and materials) with various environmental, economic, and social opportunities. As most of these CCU technologies are in the R&D stage, their technical and economic viability are examined with less attention to the social aspect which is an important pillar for a holistic sustainability assessment. The lack of systematic social impact research is mainly due to the difficulty of identifying and quantifying social aspects through the entire life cycle of products. We will fill this gap for CCU technologies and identify the main social indicators. A multi-criteria decision making tool: TOPSIS (technique for order of preference by similarity to ideal solution) was applied to empirically determine which indicators are more relevant for assessing the social impact of a company operating CCU activities within a European context. First, seeing that social impact categories are linked to key stakeholder groups, we considered workers, consumers, and local communities as relevant stakeholders. Second, the main social impact categories and their potential performance indicators associated to each group of stakeholders were listed using the United Nations Environment Program/Society of Environmental Toxicology and Chemistry (UNEP/SETAC) guidelines. In the third step, an online questionnaire was distributed to identify the main social categories and indicators for CCU, to which 33 European CCU experts responded. Finally, a modified TOPSIS was applied to rank the indicators based on their relevance. We found that the indicators related to “end of life responsibility” and “transparency” within a CCU company achieved the highest rank affecting the consumers group, whereas “fair salary” and “equal opportunities/discriminations” were determined as the most relevant impact categories for the workers. For the local community group, “secure living conditions” and “local employment” received the highest priority from the experts’ point of view. Furthermore, “health and safety” considerations were identified as one of the most important criteria affecting all three groups of stakeholders. The ranking list of the main social indicators identified in our study provides the basis for the next steps in the social sustainability assessment of CCU technologies; that is, data collection and impact assessment. Our outcomes can also be used to inform the producers regarding the most and least relevant social aspects of CCU so that the potential social impacts caused by their production activities can be improved or prevented.
Keywords: A1 Journal Article; Engineering Management (ENM) ;
Impact Factor: 1.743
DOI: 10.1007/s11205-019-02154-4
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“Analysis of internal stress build-up during deposition of nanocrystalline Ni thin films using transmission electron microscopy”. Lumbeeck G, Delvaux A, Idrissi H, Proost J, Schryvers D, Thin solid films : an international journal on the science and technology of thin and thick films 707, 138076 (2020). http://doi.org/10.1016/j.tsf.2020.138076
Abstract: Ni thin films sputter-deposited at room temperature with varying Ar pressures were investigated with automated crystal orientation mapping in a transmission electron microscope to uncover the mechanisms controlling the internal stress build-up recorded in-situ during deposition. Large grains were found to induce behaviour similar to a stress-free nucleation layer. The measurements of grain size in most of the Ni thin films are in agreement with the island coalescence model. Low internal stress was observed at low Ar pressure and was explained by the presence of large grains. Relaxation of high internal stress was also noticed at the highest Ar pressure, which was attributed to a decrease of Σ3 twin boundary density due to a low deposition rate. The results provide insightful information to better understand the relationship between structural boundaries and the evolution of internal stress upon deposition of thin films.
Keywords: A1 Journal article; Electron microscopy for materials research (EMAT)
DOI: 10.1016/j.tsf.2020.138076
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“Adaptive capacity of smallholder farmers toward climate change: evidence from Hamadan province in Iran”. Jamshidi O, Asadi A, Kalantari K, Movahhed Moghaddam S, Dadrass Javan F, Azadi H, Van Passel S, Witlox F, Climate And Development , 1 (2020). http://doi.org/10.1080/17565529.2019.1710097
Abstract: The global climate is changing, and farmers must increase their adaptive capacity to avoid negative impacts. This study aimed to examine the adaptive capacity of farmers’ household to tolerate climate changes and identify factors affecting the climate in Hamadan province, Iran. The adaptive capacity was evaluated quantitatively by using 23 indicators and was categorized into high, moderate, low, and very low adaptive capacity. The study was based on a cross sectional survey and was conducted with a random sample of 280 household farmers distributed in five counties of Hamadan province in the west of the country whose climatic data revealed signs of climate change. The result showed that farmers’ negative perception toward climate change generally increases during dry seasons and decreases when the precipitation and water resources are more available. Regarding the available information, only 15% of farmers had a high level of adaptive capacity, while 10% of them were highly adapted, and 27.5% showed a very low level of adaptive capacity. Adaptive capacity in the current study was influenced by some socio-economic variables including total farm size, irrigated farm size, number of agricultural land plots, and perception and knowledge of climate change.
Keywords: A1 Journal Article; Adaptive capacity; cross sectional survey; socio-economic variables; adaptation strategies; Hamadan province; Engineering Management (ENM) ;
Impact Factor: 2.051
DOI: 10.1080/17565529.2019.1710097
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