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Commit 37b8146a authored by Markus Millinger's avatar Markus Millinger
Browse files

Updated plotting and manuscript

parent ed4d97b6
......@@ -117,9 +117,9 @@ biomass \sep power-to-x \sep energy system \sep LCA \sep sector coupling \sep in
\end{keyword}
\end{frontmatter}
\section*{Required Metadata}
\label{}
%
%\section*{Required Metadata}
%\label{}
\section*{Current code version}
\label{}
......@@ -169,6 +169,13 @@ C9 & Support email for questions & \href{mailto:markus.millinger@ufz.de}{markus.
%
%Documentation in the repository in a docs/ directory, and/or READMEs, as appropriate.
\begin{figure*}[!htb]
\centering
\includegraphics[trim=210 170 310 120,clip,width=0.7\textwidth]{fig/graphicalAbstract.pdf}
\caption{\footnotesize{Graphical abstract.}}
\end{figure*}
\section{Motivation and significance}
\label{sec:motivation}
......@@ -176,7 +183,7 @@ C9 & Support email for questions & \href{mailto:markus.millinger@ufz.de}{markus.
Biomass and hydrogen play important roles in a transition to renewable energy and materials. Their use as storable and dispatchable renewable energy carriers make them well suited to complement wind and solar photovoltaic power. Through sector coupling, heat, transport and industry are expected to be increasingly electrified, where this is possible, with biomass and hydrogen derivatives as a complement.
However, in many studies and integrated assessment models (IAMs) these options are often handled in a highly aggregated form \cite{Gambhir.2019b}, whereby information on the diverse characteristics of different pathways is lost, such as regarding GHG emissions and temporal resolution \cite{Creutzig.2012}. Also, they mostly lack gaseous fuels and heat production, as well as often depicting energy demands rather than service demands \cite{Daioglou.2020}, which are significant for being able to depict an efficient resource usage \cite{Millinger.2020,Millinger.2019,Jordan.2019}. Within future energy scenarios and dedicated energy system models, biomass usage is often crudely depicted, with low detail on biomass types, conversion options, land use, costs, greenhouse gas emissions and connected resource use and environmental effects \cite{Borjesson.2013}. Also, these models as well as IAMs are often computationally intensive, which hinders thorough sensitivity analyses \cite{Creutzig.2012,Bauer.2018,DeCarolis.2017}, despite the importance thereof, considering the substantial data uncertainties \cite{Daioglou.2020}.
However, in many studies and integrated assessment models (IAMs) these options are often handled in a highly aggregated form \cite{Gambhir.2019b}, whereby information on the diverse characteristics of different pathways is lost, such as regarding GHG emissions and temporal resolution \cite{Creutzig.2012}. Also, they mostly lack gaseous fuels and heat production, as well as often depicting energy demands rather than service demands \cite{Daioglou.2020b}, which are significant for being able to depict an efficient resource usage \cite{Millinger.2020,Millinger.2019,Jordan.2019}. Within future energy scenarios and dedicated energy system models, biomass usage is often crudely depicted, with low detail on biomass types, conversion options, land use, costs, greenhouse gas emissions and connected resource use and environmental effects \cite{Borjesson.2013}. Also, these models as well as IAMs are often computationally intensive, which hinders thorough sensitivity analyses \cite{Creutzig.2012,Bauer.2018,DeCarolis.2017}, despite the importance thereof, considering the substantial data uncertainties \cite{Daioglou.2020b}.
BioENergy OPTimisation (BENOPT) operates within this research and modelling gap, in order to provide more detailed information on the role of biomass and hydrogen derivatives within a sustainable transition.
......@@ -219,7 +226,7 @@ The model is programmed in Matlab and GAMS with the use of the CPLEX solver, wit
BENOPT is a deterministic, recursive, bottom-up, perfect foresight, linear optimisation model for modelling cost-optimal and/or GHG abatement optimal allocation of renewable energy carriers across power, heat and transport sectors. The sectors are further divided into sub-sectors. The model has an up to hourly resolution, which can be aggregated depending on the task. The model has been developed in Matlab and GAMS.
The model includes modules for crop price developments (based on the premise that farmers want to achieve the same profit regardless of the crop grown), automatic GHG emission and cost calculations based on input-output, opex and capex data, and it has been hard coupled with a Variable Renewable Electricity (VRE) module. Some 30+ technologies with 20+ biomass residues and crop types, which can be used across 10+ sub-sectors enable a myriad of biomass pathway options, which can be easily extended. PtX based on the power mix or excess electricity is included with numerous usage pathways, such as hydrogen, EVs or heat pumps. The whole pathway from source to end use service is captured across all sectors, allowing a systems perspective. Thanks to short run-times, extensive sensitivity analyses can be performed.
The model includes modules for crop price developments (based on the premise that farmers want to achieve the same profit regardless of the crop grown), automatic GHG emission and cost calculations based on input-output, opex and capex data, and it has been hard coupled with a Variable Renewable Electricity (VRE) module. Some 30+ technologies with 20+ biomass residues and crop types, which can be used across 10+ sub-sectors enable a myriad of biomass pathway options, which can be easily extended. PtX based on the power mix or excess electricity is included with numerous usage pathways, such as hydrogen, electric vehicles (EV) or heat pumps. The whole pathway from source to end use service is captured across all sectors, allowing a systems perspective. Thanks to short run-times, extensive sensitivity analyses can be performed.
BENOPT contains sectors for transport (road passenger, road goods, shipping and aviation), power and heat (industry, household and commercial). The model functions on a yearly resolution (with the exception of the power sector, which can be broken down to an hourly resolution) and is not spatially explicit. Detailed input-output, capex and opex data are integrated for feedstocks, conversion and supply, which allows detailed cost analyses and combined with relevant emission factors also GHG analyses.
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......@@ -643,7 +643,7 @@
issn = {00162361},
journal = {{Fuel}},
doi = {\url{10.1016/j.fuel.2016.12.003}},
file = {Albrecht, König et al. 2017 - A standardized methodology.pdf}
file = {6e04e399-cb6c-4f14-b808-62d5c7f0d1c9:C\:\\Users\\millinge\\AppData\\Local\\Swiss Academic Software\\Citavi 6\\ProjectCache\\n3jjg4hu3d1gwvwsji8oct2tr3kdtrcjeyps7vlvrjhrtjc8x1l\\Citavi Attachments\\6e04e399-cb6c-4f14-b808-62d5c7f0d1c9.pdf:pdf}
}
 
 
......@@ -1172,6 +1172,21 @@
}
 
 
@article{Azar.2013,
author = {Azar, Christian and Johansson, Daniel J. A. and Mattsson, Niclas},
year = {2013},
title = {{Meeting global temperature targets---the role of bioenergy with carbon capture and storage}},
urldate = {28.09.2020},
pages = {034004},
volume = {8},
number = {3},
issn = {1748-9326},
journal = {{Environmental Research Letters}},
doi = {\url{10.1088/1748-9326/8/3/034004}},
file = {9fde55bd-74c1-46e7-a002-ea7c1afa7bac:C\:\\Users\\millinge\\AppData\\Local\\Swiss Academic Software\\Citavi 6\\ProjectCache\\n3jjg4hu3d1gwvwsji8oct2tr3kdtrcjeyps7vlvrjhrtjc8x1l\\Citavi Attachments\\9fde55bd-74c1-46e7-a002-ea7c1afa7bac.pdf:pdf}
}
@misc{B.A.U.M.ConsultGmbH.,
author = {{B.A.U.M. Consult GmbH}},
title = {{Handout zum Symposium {\textquotedbl}Umwelt {\&} Akzeptanz beim Netz- und Speicherausbau{\textquotedbl} am 10.03.2014 in Berlin}},
......@@ -7695,7 +7710,7 @@ Festbrennstoffe, Biokraftstoffe, Biogas},
issn = {03605442},
journal = {{Energy}},
doi = {\url{10.1016/j.energy.2014.01.093}},
file = {1-s2.0-S0360544214001157-main.pdf}
file = {62e63d8c-32d1-4bd7-a17a-bf4ee139c962:C\:\\Users\\millinge\\AppData\\Local\\Swiss Academic Software\\Citavi 6\\ProjectCache\\n3jjg4hu3d1gwvwsji8oct2tr3kdtrcjeyps7vlvrjhrtjc8x1l\\Citavi Attachments\\62e63d8c-32d1-4bd7-a17a-bf4ee139c962.pdf:pdf}
}
 
 
......@@ -11099,7 +11114,7 @@ Science B.V. All rights reserved.},
issn = {18766102},
journal = {{Energy Procedia}},
doi = {\url{10.1016/j.egypro.2015.07.169}},
file = {Larsson, Grönkvist et al. 2015 - Synthetic Fuels from Electricity.pdf}
file = {0ea52ff5-c2e1-427d-874e-12d993127578:C\:\\Users\\millinge\\AppData\\Local\\Swiss Academic Software\\Citavi 6\\ProjectCache\\n3jjg4hu3d1gwvwsji8oct2tr3kdtrcjeyps7vlvrjhrtjc8x1l\\Citavi Attachments\\0ea52ff5-c2e1-427d-874e-12d993127578.pdf:pdf}
}
 
 
......@@ -11114,7 +11129,7 @@ Science B.V. All rights reserved.},
issn = {18766102},
journal = {{Energy Procedia}},
doi = {\url{10.1016/j.egypro.2015.07.169}},
file = {1-s2.0-S1876610215009376-main.pdf}
file = {ba598308-bc76-437e-b581-5c840991e042:C\:\\Users\\millinge\\AppData\\Local\\Swiss Academic Software\\Citavi 6\\ProjectCache\\n3jjg4hu3d1gwvwsji8oct2tr3kdtrcjeyps7vlvrjhrtjc8x1l\\Citavi Attachments\\ba598308-bc76-437e-b581-5c840991e042.pdf:pdf}
}
 
 
......@@ -13152,6 +13167,7 @@ The BASE tool was developed for this project to analyze the impact of multiple b
author = {Millinger, Markus and Tafarte, Philip and Jordan, Matthias and Hahn, Alena and Meisel, Kathleen and Thr{\"a}n, Daniela},
year = {2020},
title = {{Electrofuels from Excess Renewable Electricity at High Variable Renewable Shares: Cost, Greenhouse Gas Abatement, Carbon Use and Competition}},
journal = {{Pre-print}},
doi = {\url{10.26434/chemrxiv.12287504.v1}}
}
 
......@@ -14801,7 +14817,7 @@ The BASE tool was developed for this project to analyze the impact of multiple b
author = {Plette, Jacqueline},
title = {{PowerPoint Presentation}},
urldate = {14.02.2019},
file = {Plette - PowerPoint Presentation.pdf}
file = {48265eef-8707-4567-9fd3-de33fecc88d3:C\:\\Users\\millinge\\AppData\\Local\\Swiss Academic Software\\Citavi 6\\ProjectCache\\n3jjg4hu3d1gwvwsji8oct2tr3kdtrcjeyps7vlvrjhrtjc8x1l\\Citavi Attachments\\48265eef-8707-4567-9fd3-de33fecc88d3.pdf:pdf}
}
 
 
......@@ -15353,9 +15369,7 @@ The BASE tool was developed for this project to analyze the impact of multiple b
number = {1},
journal = {{Nature communications}},
doi = {\url{10.1038/s41467-019-10842-5}},
file = {s41467-019-10842-5(1).pdf},
file = {http://www.ncbi.nlm.nih.gov/pubmed/31332176},
file = {https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6646360}
file = {792fb969-4c6c-403e-a56d-a2fbab022813:C\:\\Users\\millinge\\AppData\\Local\\Swiss Academic Software\\Citavi 6\\ProjectCache\\n3jjg4hu3d1gwvwsji8oct2tr3kdtrcjeyps7vlvrjhrtjc8x1l\\Citavi Attachments\\792fb969-4c6c-403e-a56d-a2fbab022813.pdf:pdf}
}
 
 
......@@ -17542,7 +17556,7 @@ The BASE tool was developed for this project to analyze the impact of multiple b
issn = {09619534},
journal = {{Biomass and Bioenergy}},
doi = {\url{10.1016/j.biombioe.2011.08.024}},
file = {Sterner, Fritsche 2011 - Greenhouse gas balances and mitigation.pdf}
file = {2d2b6d36-c439-4882-a7cb-0e20a29ca7f5:C\:\\Users\\millinge\\AppData\\Local\\Swiss Academic Software\\Citavi 6\\ProjectCache\\n3jjg4hu3d1gwvwsji8oct2tr3kdtrcjeyps7vlvrjhrtjc8x1l\\Citavi Attachments\\2d2b6d36-c439-4882-a7cb-0e20a29ca7f5.pdf:pdf}
}
 
 
......@@ -17983,7 +17997,7 @@ The BASE tool was developed for this project to analyze the impact of multiple b
urldate = {14.02.2019},
school = {{Chalmers University of Technology}},
type = {{Licentiate Thesis}},
file = {636857523554585129.pdf}
file = {22a6cc50-4f86-476f-80ab-dd5a98e411e2:C\:\\Users\\millinge\\AppData\\Local\\Swiss Academic Software\\Citavi 6\\ProjectCache\\n3jjg4hu3d1gwvwsji8oct2tr3kdtrcjeyps7vlvrjhrtjc8x1l\\Citavi Attachments\\22a6cc50-4f86-476f-80ab-dd5a98e411e2.pdf:pdf}
}
 
 
......@@ -18485,7 +18499,7 @@ The BASE tool was developed for this project to analyze the impact of multiple b
issn = {03783820},
journal = {{Fuel Processing Technology}},
doi = {\url{10.1016/j.fuproc.2012.09.029}},
file = {Trippe, Fröhling et al. 2013 - Comprehensive techno-economic assessment of dimethyl.pdf}
file = {505cdc61-7bd2-484c-a5fa-b5c330bf6e6c:C\:\\Users\\millinge\\AppData\\Local\\Swiss Academic Software\\Citavi 6\\ProjectCache\\n3jjg4hu3d1gwvwsji8oct2tr3kdtrcjeyps7vlvrjhrtjc8x1l\\Citavi Attachments\\505cdc61-7bd2-484c-a5fa-b5c330bf6e6c.pdf:pdf}
}
 
 
......@@ -19639,11 +19653,16 @@ Diets adhering to food based dietary guidelines did not substantially reduce GHG
}
 
 
@article{Wallington.,
author = {Wallington, T. J.},
@article{Wallington.2016,
author = {Wallington, T. J. and Anderson, J. E. and de Kleine, R. D. and Kim, H. C. and Maas, H. and Brandt, A. R. and Keoleian, Gregory A.},
year = {2016},
title = {{When Comparing Alternative Fuel-Vehicle Systems, Life Cycle Assessment Studies Should Consider Trends in Oil Production}},
urldate = {18.02.2019},
file = {When Comparing Alternative Fuel‐Vehicle Systems.pdf}
volume = {21},
number = {2},
issn = {10881980},
journal = {{Journal of Industrial Ecology}},
file = {4f348df5-5aec-4ae5-bf28-3e54af2c715e:C\:\\Users\\millinge\\AppData\\Local\\Swiss Academic Software\\Citavi 6\\ProjectCache\\n3jjg4hu3d1gwvwsji8oct2tr3kdtrcjeyps7vlvrjhrtjc8x1l\\Citavi Attachments\\4f348df5-5aec-4ae5-bf28-3e54af2c715e.pdf:pdf}
}
 
 
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