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Van Schoubroeck, S.; Thomassen, G.; Van Passel, S.; Malina, R.; Springael, J.; Lizin, S.; Venditti, R.A.; Yao, Y.; Van Dael, M. |
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Title |
An integrated techno-sustainability assessment (TSA) framework for emerging technologies |
Type |
A1 Journal article |
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Year |
2021 |
Publication |
Green Chemistry |
Abbreviated Journal |
Green Chem |
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Volume |
23 |
Issue |
4 |
Pages |
1700-1715 |
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Keywords |
A1 Journal article; Economics; Engineering sciences. Technology; Engineering Management (ENM) |
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Abstract |
A better understanding of the drivers of the economic, environmental, and social sustainability of emerging (biobased) technologies and products in early development phases can help decision-makers to identify sustainability hurdles and opportunities. Furthermore, it guides additional research and development efforts and investment decisions, that will, ultimately, lead to more sustainable products and technologies entering a market. To this end, this study developed a novel techno-sustainability assessment (TSA) framework with a demonstration on a biobased chemical application. The integrated TSA compares the potential sustainability performance of different (technology) scenarios and helps to make better-informed decisions by evaluating and trading-off sustainability impacts in one holistic framework. The TSA combines methods for comprehensive indicator selection and integration of technological and country-specific data with environmental, economic, and social data. Multi-criteria decision analysis (MCDA) is used to address data uncertainty and to enable scenario comparison if indicators are expressed in different units. A hierarchical, stochastic outranking approach is followed that compares different weighting schemes and preference structures to check for the robustness of the results. The integrated TSA framework is demonstrated on an application for which the sustainability of a production and harvesting plant of microalgae-based food colorants is assessed. For a set of scenarios that vary with regard to the algae feedstock, production technology, and location, the sustainability performance is quantified and compared, and the underlying reasons for this performance are explored. |
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Wos |
000629630600018 |
Publication Date |
2021-02-10 |
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ISSN |
1463-9262; 1463-9270 |
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Additional Links |
UA library record; WoS full record; WoS citing articles |
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Impact Factor |
9.125 |
Times cited |
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Open Access |
OpenAccess |
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Approved ![sorted by Approved field, descending order (down)](img/sort_desc.gif) |
Most recent IF: 9.125 |
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Call Number |
UA @ admin @ c:irua:175716 |
Serial |
6931 |
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Author |
Van Schoubroeck, S.; Van Dael, M.; Van Passel, S.; Malina, R. |
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Title |
A review of sustainability indicators for biobased chemicals |
Type |
A1 Journal article |
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Year |
2018 |
Publication |
Renewable & Sustainable Energy Reviews |
Abbreviated Journal |
Renew Sust Energ Rev |
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Volume |
94 |
Issue |
94 |
Pages |
115-126 |
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Keywords |
A1 Journal article; Economics; Engineering sciences. Technology; Engineering Management (ENM) |
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Abstract |
Companies dealing with chemical products have to cope with large amounts of waste and environmental risk due to the use and production of toxic substances. Against this background, increasing attention is being paid to green chemistry and the translation of this concept into biobased chemicals. Given the multitude of economic, environmental and societal impacts that the production and use of biobased chemicals have on sustainability, assessment approaches need to be developed that allow for measurement and comparison of these impacts. To evaluate sustainability in the context of policy and decision-making, indicators are generally accepted means. However, sustainability indicators currently predominantly exist for low-value applications in the bioeconomy, like bioenergy and biofuels. In this paper, a review of the state-of-the-art sustainability indicators for biobased chemicals is conducted and a gap analysis is performed to identify indicator development needs. Based on the analysis, a clear hierarchy within the concept of sustainability is found where the environmental aspect dominates over economic and social indicators. All one-dimensional indicator-sets account for environmental impacts (50%), whereas two-dimensional sets complement the environmental issues with economic indicators (34%). Moreover, even the sets encompassing all three sustainability dimensions (16%) do not account for the dynamics and interlinkages between the environment, economy and society. Using results from the literature review, an indicator list is presented that captures all indicators currently used within sustainability assessment of biobased chemicals. Finally, a framework is proposed for future indicator selection using a stakeholder survey to obtain a prioritized list of sustainability indicators for biobased chemicals. |
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000446310000008 |
Publication Date |
2018-06-07 |
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ISSN |
1364-0321; 1879-0690 |
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Additional Links |
UA library record; WoS full record; WoS citing articles |
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Impact Factor |
8.05 |
Times cited |
17 |
Open Access |
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Notes |
; ; |
Approved ![sorted by Approved field, descending order (down)](img/sort_desc.gif) |
Most recent IF: 8.05 |
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Call Number |
UA @ admin @ c:irua:154140 |
Serial |
6244 |
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Moretti, M.; Van Dael, M.; Malina, R.; Van Passel, S. |
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Title |
Environmental assessment of waste feedstock mono-dimensional and bio-refinery systems : combining manure co-digestion and municipal waste anaerobic digestion |
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A1 Journal article |
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Year |
2018 |
Publication |
Journal Of Cleaner Production |
Abbreviated Journal |
J Clean Prod |
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Volume |
171 |
Issue |
171 |
Pages |
954-961 |
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Keywords |
A1 Journal article; Engineering sciences. Technology; Engineering Management (ENM) |
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Abstract |
Organic municipal solid waste (OMSW) as a feedstock for energy recovery and material recycling offers the potential to reduce environmental impacts from energy production while displacing emission intensive waste management strategies such as landfills. This paper quantifies the environmental impact of anaerobic digestion of local, residual biomass. A life-cycle assessment was jointly performed for two scenarios for the biological treatment of local organic municipal solid waste and pig manure in the Netherlands. Scenario 1 was a separate treatment using anaerobic digestion, and Scenario 2 was a bio-refinery system that integrates anaerobic digestion of organic, municipal solid waste, and co digestion of pig manure and other organic co-substrates \. For both scenarios, electricity and heat are generated using a combined heat and power engine. The bio-refinery system (Scenario 2) contribution to climate change resulted in 0.16 Mt CO2 eq./yr, which is lower than the 0.17 Mt CO2 eq./yr of Scenario 1. Both scenarios are found to be beneficial with regard to resource depletion and human toxicity. The integration of organic waste and manure anaerobic digestion has no effect on acidification and terrestrial eutrophication impact categories, resulting in 43.59 AE eq. and 86.33 AE eq. for Scenario 1 and 43.58 AE eq. and 86.30 AE eq. for Scenario 2. Moreover, Scenario 2 yields 18% lower emissions than those from natural gas derived electricity in the Netherlands. The biorefinery system represents an opportunity to improve organic waste-management strategies, at the same time as reducing the environmental impact from energy production and the costs for surplus manure disposal by producing high-quality commodities that can be traded on the market. (C) 2017 Elsevier Ltd. All rights reserved. |
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000418978100085 |
Publication Date |
2017-10-13 |
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ISSN |
0959-6526 |
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Additional Links |
UA library record; WoS full record; WoS citing articles |
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Impact Factor |
5.715 |
Times cited |
12 |
Open Access |
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Notes |
; ; |
Approved ![sorted by Approved field, descending order (down)](img/sort_desc.gif) |
Most recent IF: 5.715 |
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Call Number |
UA @ admin @ c:irua:148444 |
Serial |
6199 |
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Permanent link to this record |
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Author |
Van Schoubroeck, S.; Springael, J.; Van Dael, M.; Malina, R.; Van Passel, S. |
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Title |
Sustainability indicators for biobased chemicals : a Delphi study using multi-criteria decision analysis |
Type |
A1 Journal article |
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Year |
2019 |
Publication |
Resources Conservation And Recycling |
Abbreviated Journal |
Resour Conserv Recy |
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Volume |
144 |
Issue |
144 |
Pages |
198-208 |
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Keywords |
A1 Journal article; Economics; Engineering sciences. Technology; Engineering Management (ENM) |
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Abstract |
Biobased chemistry has gained interest and has the potential to tackle some of the sustainability challenges the chemical industry must endure. Sustainability impacts need to be evaluated and monitored to highlight the advantages and pitfalls of different biobased routes over the entire product life cycle. This study aims for expert consensus concerning indicators needed and preferred for sustainability analysis of biobased chemicals in Europe. Experts are consulted by means of a Delphi method with stakeholders selected from three core groups: the private, public and academic sector. Best-Worst Scaling (BWS) is performed to gather data on the prioritization of the sustainability indicators per respondent. Afterwards, Multi-Criteria Decision Analysis (MCDA) is used to develop a consensus ranking among the experts. The results show that GHG emissions, market potential and acceptance of biobased materials are deemed the most crucial indicators for respectively environmental, economic and social sustainability. Expert consensus is positive in all three sustainability domains, with the strongest consensus measured for environmental sustainability showing a median Kendalls τ of 0.63 (τ ranging from -1 to 1) and the weakest consensus found within social sustainability showing a median Kendalls τ of 0.50. Further research can apply the ranked indicators on specific case studies to evaluate the practicability of the defined indicator set. |
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Wos |
000461534800021 |
Publication Date |
2019-02-01 |
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ISSN |
0921-3449 |
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Additional Links |
UA library record; WoS full record; WoS citing articles |
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Impact Factor |
3.313 |
Times cited |
4 |
Open Access |
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Notes |
; ; |
Approved ![sorted by Approved field, descending order (down)](img/sort_desc.gif) |
Most recent IF: 3.313 |
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Call Number |
UA @ admin @ c:irua:156929 |
Serial |
6255 |
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Permanent link to this record |