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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 ![sorted by Publication Date field, descending order (down)](img/sort_desc.gif) |
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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Notes |
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Approved |
Most recent IF: 9.125 |
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Call Number |
UA @ admin @ c:irua:175716 |
Serial |
6931 |
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Permanent link to this record |
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Author |
Milis, K.; Peremans, H.; Springael, J.; Van Passel, S. |
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Title |
Win-win possibilities through capacity tariffs and battery storage in microgrids |
Type |
A1 Journal article |
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Year |
2019 |
Publication |
Renewable & Sustainable Energy Reviews |
Abbreviated Journal |
Renew Sust Energ Rev |
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Volume |
113 |
Issue |
113 |
Pages |
109238 |
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Keywords |
A1 Journal article; Economics; Engineering sciences. Technology; Engineering Management (ENM) |
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Abstract |
This paper investigates the impact of capacity tariff design on microgrids. While the possible benefits for utilities of capacity tariffs are well researched, comparatively little work has been done investigating the effects of capacity pricing on prosumers. Through simulating a grid connected microgrid and solving the day-ahead dispatch problem for a calendar year, we show that a well-designed capacity tariff will not only smooth out demand profiles, but could also lead to less erratic charge/discharge cycles in a real-time pricing scenario, lessening battery degradation. These results show that a properly designed capacity tariff has the potential to be beneficial for both the utilities as well as the battery-owning prosumer. Furthermore, we propose a new, heuristic approach to solve the day-ahead economic dispatch problem, which we prove to be effective and efficient. Additionally, we demonstrate that our novel approach does not impose mathematical restrictions such as continuous differentiability of the objective function. We show that the proposed capacity tariff achieves the stated aim of promoting battery storage uptake and that our novel method allows for compression and shorter run times. |
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Wos |
000483422600019 |
Publication Date ![sorted by Publication Date field, descending order (down)](img/sort_desc.gif) |
2019-07-03 |
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ISSN |
1364-0321; 1879-0690 |
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Additional Links |
UA library record; WoS full record |
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Impact Factor |
8.05 |
Times cited |
1 |
Open Access |
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Notes |
; ; |
Approved |
Most recent IF: 8.05 |
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Call Number |
UA @ admin @ c:irua:160566 |
Serial |
6279 |
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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 ![sorted by Publication Date field, descending order (down)](img/sort_desc.gif) |
2019-02-01 |
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Edition |
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ISSN |
0921-3449 |
ISBN |
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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 |
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 |