Model collaboration for the improved assessment of biomass supply, demand, and impacts
Existing assessments of biomass supply and demand and their impacts face various types of limitations and uncertainties, partly due to the type of tools and methods applied (e.g., partial representation of sectors, lack of geographical details, and aggregated representation of technologies involved)...
| Autores principales: | , , , , , , , , , , , , , , , , , , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Wiley
2015
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/149878 |
| _version_ | 1855541643079319552 |
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| author | Wicke, Birka van der Hilst, Floor Daioglou, Vassilis Banse, Martin Beringer, Tim Gerssen-Gondelach, Sarah Heijnen, Sanne Karssenberg, Derek Laborde Debucquet, David Lippe, Melvin van Meijl, Hans Nassar, André Powell, Jeff Gerdien Prins, Anne Rose, Steve N. K. Smeets, Edward M. W. Stehfest, Elke Tyner, Wallace E. Verstegen, Judith A. Valin, Hugo van Vuuren, Detlef P. Yeh, Sonia Faaij, André P. C. |
| author_browse | Banse, Martin Beringer, Tim Daioglou, Vassilis Faaij, André P. C. Gerdien Prins, Anne Gerssen-Gondelach, Sarah Heijnen, Sanne Karssenberg, Derek Laborde Debucquet, David Lippe, Melvin Nassar, André Powell, Jeff Rose, Steve N. K. Smeets, Edward M. W. Stehfest, Elke Tyner, Wallace E. Valin, Hugo Verstegen, Judith A. Wicke, Birka Yeh, Sonia van Meijl, Hans van Vuuren, Detlef P. van der Hilst, Floor |
| author_facet | Wicke, Birka van der Hilst, Floor Daioglou, Vassilis Banse, Martin Beringer, Tim Gerssen-Gondelach, Sarah Heijnen, Sanne Karssenberg, Derek Laborde Debucquet, David Lippe, Melvin van Meijl, Hans Nassar, André Powell, Jeff Gerdien Prins, Anne Rose, Steve N. K. Smeets, Edward M. W. Stehfest, Elke Tyner, Wallace E. Verstegen, Judith A. Valin, Hugo van Vuuren, Detlef P. Yeh, Sonia Faaij, André P. C. |
| author_sort | Wicke, Birka |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Existing assessments of biomass supply and demand and their impacts face various types of limitations and uncertainties, partly due to the type of tools and methods applied (e.g., partial representation of sectors, lack of geographical details, and aggregated representation of technologies involved). Improved collaboration between existing modeling approaches may provide new, more comprehensive insights, especially into issues that involve multiple economic sectors, different temporal and spatial scales, or various impact categories. Model collaboration consists of aligning and harmonizing input data and scenarios, model comparison and/or model linkage. Improved collaboration between existing modeling approaches can help assess (i) the causes of differences and similarities in model output, which is important for interpreting the results for policy‐making and (ii) the linkages, feedbacks, and trade‐offs between different systems and impacts (e.g., economic and natural), which is key to a more comprehensive understanding of the impacts of biomass supply and demand. But, full consistency or integration in assumptions, structure, solution algorithms, dynamics and feedbacks can be difficult to achieve. And, if it is done, it frequently implies a trade‐off in terms of resolution (spatial, temporal, and structural) and/or computation. Three key research areas are selected to illustrate how model collaboration can provide additional ways for tackling some of the shortcomings and uncertainties in the assessment of biomass supply and demand and their impacts. These research areas are livestock production, agricultural residues, and greenhouse gas emissions from land‐use change. Describing how model collaboration might look like in these examples, we show how improved model collaboration can strengthen our ability to project biomass supply, demand, and impacts. This in turn can aid in improving the information for policy‐makers and in taking better‐informed decisions. |
| format | Journal Article |
| id | CGSpace149878 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2015 |
| publishDateRange | 2015 |
| publishDateSort | 2015 |
| publisher | Wiley |
| publisherStr | Wiley |
| record_format | dspace |
| spelling | CGSpace1498782025-07-23T19:44:45Z Model collaboration for the improved assessment of biomass supply, demand, and impacts Wicke, Birka van der Hilst, Floor Daioglou, Vassilis Banse, Martin Beringer, Tim Gerssen-Gondelach, Sarah Heijnen, Sanne Karssenberg, Derek Laborde Debucquet, David Lippe, Melvin van Meijl, Hans Nassar, André Powell, Jeff Gerdien Prins, Anne Rose, Steve N. K. Smeets, Edward M. W. Stehfest, Elke Tyner, Wallace E. Verstegen, Judith A. Valin, Hugo van Vuuren, Detlef P. Yeh, Sonia Faaij, André P. C. models biomass modeling demand modelling biomass supply energy Existing assessments of biomass supply and demand and their impacts face various types of limitations and uncertainties, partly due to the type of tools and methods applied (e.g., partial representation of sectors, lack of geographical details, and aggregated representation of technologies involved). Improved collaboration between existing modeling approaches may provide new, more comprehensive insights, especially into issues that involve multiple economic sectors, different temporal and spatial scales, or various impact categories. Model collaboration consists of aligning and harmonizing input data and scenarios, model comparison and/or model linkage. Improved collaboration between existing modeling approaches can help assess (i) the causes of differences and similarities in model output, which is important for interpreting the results for policy‐making and (ii) the linkages, feedbacks, and trade‐offs between different systems and impacts (e.g., economic and natural), which is key to a more comprehensive understanding of the impacts of biomass supply and demand. But, full consistency or integration in assumptions, structure, solution algorithms, dynamics and feedbacks can be difficult to achieve. And, if it is done, it frequently implies a trade‐off in terms of resolution (spatial, temporal, and structural) and/or computation. Three key research areas are selected to illustrate how model collaboration can provide additional ways for tackling some of the shortcomings and uncertainties in the assessment of biomass supply and demand and their impacts. These research areas are livestock production, agricultural residues, and greenhouse gas emissions from land‐use change. Describing how model collaboration might look like in these examples, we show how improved model collaboration can strengthen our ability to project biomass supply, demand, and impacts. This in turn can aid in improving the information for policy‐makers and in taking better‐informed decisions. 2015-05-02 2024-08-01T02:50:08Z 2024-08-01T02:50:08Z Journal Article https://hdl.handle.net/10568/149878 en Limited Access Wiley Wicke, Birka; van der Hilst, Floor; Daioglou, Vassilis; Banse, Martin; Beringer, Tim; Gerssen-Gondelach, Sarah; Heijnen, Sanne; Karssenberg, Derek; Laborde Debucquet, David; Lippe, Melvin; van Meijl, Hans; Nassar, André; Powell, Jeff; Gerdien Prins, Anne; Rose, Steve N. K.; Smeets, Edward M. W.; Stehfest, Elke; Tyner, Wallace E.; Verstegen, Judith A.; Valin, Hugo; van Vuuren, Detlef P.; Yeh, Sonia; and Faaij, André P. C. Model collaboration for the improved assessment of biomass supply, demand, and impacts. GCB Bioenergy 7(3): 422-437. https://doi.org/10.1111/gcbb.12176 |
| spellingShingle | models biomass modeling demand modelling biomass supply energy Wicke, Birka van der Hilst, Floor Daioglou, Vassilis Banse, Martin Beringer, Tim Gerssen-Gondelach, Sarah Heijnen, Sanne Karssenberg, Derek Laborde Debucquet, David Lippe, Melvin van Meijl, Hans Nassar, André Powell, Jeff Gerdien Prins, Anne Rose, Steve N. K. Smeets, Edward M. W. Stehfest, Elke Tyner, Wallace E. Verstegen, Judith A. Valin, Hugo van Vuuren, Detlef P. Yeh, Sonia Faaij, André P. C. Model collaboration for the improved assessment of biomass supply, demand, and impacts |
| title | Model collaboration for the improved assessment of biomass supply, demand, and impacts |
| title_full | Model collaboration for the improved assessment of biomass supply, demand, and impacts |
| title_fullStr | Model collaboration for the improved assessment of biomass supply, demand, and impacts |
| title_full_unstemmed | Model collaboration for the improved assessment of biomass supply, demand, and impacts |
| title_short | Model collaboration for the improved assessment of biomass supply, demand, and impacts |
| title_sort | model collaboration for the improved assessment of biomass supply demand and impacts |
| topic | models biomass modeling demand modelling biomass supply energy |
| url | https://hdl.handle.net/10568/149878 |
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