Brian Vad Mathiesen & Christian Bundgaard
Sustainable Energy Planning research group, Aalborg University
Presentation for 6th International Conference on Smart Energy Systems,6-7 October 2020
Meng Yuan, Ph.D. Fellow, China University of Petroleum (Beijing)
Visiting researcher, Sustainable Energy Planning group, Aalborg University
Presentation at the 6th International Conference on Smart Energy Systems, 6-7 October 2020, Aalborg
Professor Brian Vad Mathiesen, Sustainable Energy Planning Research Group,Aalborg University
EFCF2020: 24th conference in series of the European Fuel Cell Forum in Lucerne, October 22, 2020
Hamza Abid, Research Assistant, Aalborg University
Presentation for the 6th International Conference on Smart Energy Systems, 4th Generation District Heating, Electrification, Electrofuels, and Energy Efficiency, Aalborg, October 6-7, 2020
Meng Yuan, Ph.D. Fellow, China University of Petroleum (Beijing)
Visiting researcher, Sustainable Energy Planning group, Aalborg University
Presentation at the 6th International Conference on Smart Energy Systems, 6-7 October 2020, Aalborg
Professor Brian Vad Mathiesen, Sustainable Energy Planning Research Group,Aalborg University
EFCF2020: 24th conference in series of the European Fuel Cell Forum in Lucerne, October 22, 2020
Hamza Abid, Research Assistant, Aalborg University
Presentation for the 6th International Conference on Smart Energy Systems, 4th Generation District Heating, Electrification, Electrofuels, and Energy Efficiency, Aalborg, October 6-7, 2020
Keynote, 15th Conference on Sustainable Development of Energy, Water and Environment Systems (SDEWES)
Brian Vad Mathiesen, Aalborg University
Online, Cologne, September 3rd 2020
Second Stakeholder Event for the Revision of Directive (REDII) 2018/2001
Session 2 Renewable energy in Heating and Cooling, Buildings and District Heating
Professor Brian Vad Mathiesen, Aalborg University
March 22, 2021, Brussels - Online
Addressing flexibility and decarbonization of energy systems through TIMES mo...IEA-ETSAP
Addressing flexibility and decarbonization of energy systems through TIMES modelling: the case of European Islands.
Ms. Sophie Chlela, Centre for Applied Mathematics (CMA), MINES Paristech
Second Ukrainian NDC to the Paris Agreement: Modelling Approach and ResultsIEA-ETSAP
Second Ukrainian NDC to the Paris Agreement: Modelling Approach and Results
Diachuk O., Poodles R., Chepelev M., Institute for Economics and Forecasting of National Academy of
Sciences of Ukraine
Development of 2050’s national long-term energy plans for carbon neutrality t...IEA-ETSAP
Development of national long-term energy plans, for 2050’s carbon neutrality targets, using the DESSTINEE model.
Dr. Gabriel David Oreggioni, Imperial College London
Assess the transition to a circular economy for the energy system: Long-term ...IEA-ETSAP
Assess the transition to a circular economy for the energy system: Long-term analysis of the case of the South-Est region of France.
Mr. Carlos Andrade, Center for Applied Mathematics
Sustainable energy and climate mitigation pathways in the Republic of MauritiusIEA-ETSAP
nable strategies and low emission pathways in Small Island Developing States: a costoptimization approach for the integration of renewables in the Republic of Mauritius.
Ms. Anna Genave, Université de La Réunion
This preliminary design study was originally written by Matthew Kronborg circa 2007.
The aim was to explore the technical and economic feasibility of using hydrogen, produced via renewable energy, to power air cargo transportation and to develop an optimal pathway towards commercialisation of such a system.
Planning a reliable power system with a high share of renewables in France by...IEA-ETSAP
Planning a reliable power system with a high share of renewables in France by 2050: a new multi-scale, multi-criteria framework
Mr. Yacine Alimou, Mines ParisTech
Keynote, 15th Conference on Sustainable Development of Energy, Water and Environment Systems (SDEWES)
Brian Vad Mathiesen, Aalborg University
Online, Cologne, September 3rd 2020
Second Stakeholder Event for the Revision of Directive (REDII) 2018/2001
Session 2 Renewable energy in Heating and Cooling, Buildings and District Heating
Professor Brian Vad Mathiesen, Aalborg University
March 22, 2021, Brussels - Online
Addressing flexibility and decarbonization of energy systems through TIMES mo...IEA-ETSAP
Addressing flexibility and decarbonization of energy systems through TIMES modelling: the case of European Islands.
Ms. Sophie Chlela, Centre for Applied Mathematics (CMA), MINES Paristech
Second Ukrainian NDC to the Paris Agreement: Modelling Approach and ResultsIEA-ETSAP
Second Ukrainian NDC to the Paris Agreement: Modelling Approach and Results
Diachuk O., Poodles R., Chepelev M., Institute for Economics and Forecasting of National Academy of
Sciences of Ukraine
Development of 2050’s national long-term energy plans for carbon neutrality t...IEA-ETSAP
Development of national long-term energy plans, for 2050’s carbon neutrality targets, using the DESSTINEE model.
Dr. Gabriel David Oreggioni, Imperial College London
Assess the transition to a circular economy for the energy system: Long-term ...IEA-ETSAP
Assess the transition to a circular economy for the energy system: Long-term analysis of the case of the South-Est region of France.
Mr. Carlos Andrade, Center for Applied Mathematics
Sustainable energy and climate mitigation pathways in the Republic of MauritiusIEA-ETSAP
nable strategies and low emission pathways in Small Island Developing States: a costoptimization approach for the integration of renewables in the Republic of Mauritius.
Ms. Anna Genave, Université de La Réunion
This preliminary design study was originally written by Matthew Kronborg circa 2007.
The aim was to explore the technical and economic feasibility of using hydrogen, produced via renewable energy, to power air cargo transportation and to develop an optimal pathway towards commercialisation of such a system.
Planning a reliable power system with a high share of renewables in France by...IEA-ETSAP
Planning a reliable power system with a high share of renewables in France by 2050: a new multi-scale, multi-criteria framework
Mr. Yacine Alimou, Mines ParisTech
Energy Transition in global Aviation - ETSAP Workshop TurinIEA-ETSAP
Energy Transition in global Aviation - ETSAP Workshop Turin
Mr. Felix Lippkau, IER University of Suttgart, Germany
16–17th november 2023, Turin, Italy, etsap meeting, etsap winter workshop, semi-annual meeting, november 2023, Politecnico di Torino Lingotto, Torino
Analiza el potencial del gas renovable, su papel en la transición energética y sus innegables impactos positivos en términos de creación de empleo y riqueza en el ámbito rural.
Esta presentación se expuso en el seminario organizado por Funseam. el 26/09/2019
Flexibility with renewable(low-carbon) hydrogenIEA-ETSAP
Flexibility with renewable hydrogen
Paul Dodds, Jana Fakhreddine & Kari Espegren, IEA ETSAP
16–17th november 2023, Turin, Italy, etsap meeting, etsap winter workshop, semi-annual meeting, november 2023, Politecnico di Torino Lingotto, Torino
Twice the fuels from biomass. hannula 2016, vttIlkka Hannula
Potential to increase biofuels output from a gasification-based biorefinery using external hydrogen supply (enhancement) was investigated. Up to 2.6 or 3.1-fold increase in biofuel output could be attained for gasoline or methane production over reference plant configurations, respectively. Such enhanced process designs become economically attractive over non-enhanced designs when the average cost of low-carbon hydrogen falls below 2.2-2.8 €/kg, depending on the process configuration.
Similar to System Effects of Implementing Electrofuels for Decarbonisation of the Transport Sector in a Danish Perspective (20)
Keynote by Hans van Steen, Principal Advisor, European Commission, Directorate General for Energy, Smart Energy Systems Conference, Copenhagen, September 2023
Smart Energy Systems Conference, Copenhagen, September 2023, Keynote by Assoc. Prof. Goran Krajačić, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture
Klima-, Energi- og Forsyningsudvalget
Foretræde 18. nov. 2021 om en Klimaneutral Varmeforsyning
Brian Vad Mathiesen, Henrik Lund, Steffen Nielsen, Peter Sorknæs og Jakob Z. Thellufsen, Aalborg Universitet
Dansk Fjernvarme, Landsmøde 2021, 28. okt. 2021,
Brian Vad Mathiesen, Henrik Lund, Steffen Nielsen, Peter Sorknæs og Jakob Z. Thellufsen, Aalborg Universitet
Integrating renewable energy resources in district heating and cooling Webinar Workshop by IRENA, International Renewable Energy Agency and CREEI, China Renewable Energy Engineering Institute.
Associate Professor Jakob Zinck Thellufsen, Aalborg University, 9 March 2021, online
Integrating renewable energy resources in district heating and cooling Webinar Workshop by IRENA, International Renewable Energy Agency and CREEI, China Renewable Energy Engineering Institute.
Søren Djørup, Norce Research, 9 March 2021, online
Integrating renewable energy resources in district heating and cooling Webinar Workshop by IRENA, International Renewable Energy Agency and CREEI, China Renewable Energy Engineering Institute.
Nis Bertelsen, PhD Fellow, Aalborg University, 9 March 2021, online
Integrating renewable energy resources in district heating and cooling Webinar Workshop by IRENA, International Renewable Energy Agency and CREEI, China Renewable Energy Engineering Institute.
Professor Brian Vad Mathiesen, Aalborg University, 9 March 2021, online
HOT STUFF: Re-electrification of district heating and future sector coupling technologies
Webinar, Danish Board of District Heating, February 24
Associate Professor Peter Sorknæs, Aalborg University
Susana Paardekooper, PhD Fellow, Aalborg University
Workshop: Integrating low-temperature renewable energy sources in District Energy Systems: Focus on Belarus
IRENA - The International Renewable Energy Agency, February 4th, 2021
Nis Bertelsen, PhD Fellow, Aalborg University
Workshop: Integrating low-temperature renewable energy sources in District Energy Systems: Focus on Belarus
IRENA - The International Renewable Energy Agency, February 3rd, 2021
Professor Brian Vad Mathiesen, Aalborg University
Workshop: Integrating low-temperature renewable energy sources in District Energy Systems: Focus on Belarus
IRENA - The International Renewable Energy Agency, February 3rd, 2021
Webinar om klimamål og grøn vækst
Brian Vad Mathiesen, Aalborg Universitet - med Business Esbjerg og Borgmester Jesper Frost Pedersen
Online, 1. december 2020
Keeping our cities sustainably warm - Inspiring the Efficient Renewal of District Heating for the Just Transition
Brian Vad Mathiesen, Aalborg University
KeepWarm Conference, November 12, 2020, Brussels - Online
Nutraceutical market, scope and growth: Herbal drug technologyLokesh Patil
As consumer awareness of health and wellness rises, the nutraceutical market—which includes goods like functional meals, drinks, and dietary supplements that provide health advantages beyond basic nutrition—is growing significantly. As healthcare expenses rise, the population ages, and people want natural and preventative health solutions more and more, this industry is increasing quickly. Further driving market expansion are product formulation innovations and the use of cutting-edge technology for customized nutrition. With its worldwide reach, the nutraceutical industry is expected to keep growing and provide significant chances for research and investment in a number of categories, including vitamins, minerals, probiotics, and herbal supplements.
This pdf is about the Schizophrenia.
For more details visit on YouTube; @SELF-EXPLANATORY;
https://www.youtube.com/channel/UCAiarMZDNhe1A3Rnpr_WkzA/videos
Thanks...!
Introduction:
RNA interference (RNAi) or Post-Transcriptional Gene Silencing (PTGS) is an important biological process for modulating eukaryotic gene expression.
It is highly conserved process of posttranscriptional gene silencing by which double stranded RNA (dsRNA) causes sequence-specific degradation of mRNA sequences.
dsRNA-induced gene silencing (RNAi) is reported in a wide range of eukaryotes ranging from worms, insects, mammals and plants.
This process mediates resistance to both endogenous parasitic and exogenous pathogenic nucleic acids, and regulates the expression of protein-coding genes.
What are small ncRNAs?
micro RNA (miRNA)
short interfering RNA (siRNA)
Properties of small non-coding RNA:
Involved in silencing mRNA transcripts.
Called “small” because they are usually only about 21-24 nucleotides long.
Synthesized by first cutting up longer precursor sequences (like the 61nt one that Lee discovered).
Silence an mRNA by base pairing with some sequence on the mRNA.
Discovery of siRNA?
The first small RNA:
In 1993 Rosalind Lee (Victor Ambros lab) was studying a non- coding gene in C. elegans, lin-4, that was involved in silencing of another gene, lin-14, at the appropriate time in the
development of the worm C. elegans.
Two small transcripts of lin-4 (22nt and 61nt) were found to be complementary to a sequence in the 3' UTR of lin-14.
Because lin-4 encoded no protein, she deduced that it must be these transcripts that are causing the silencing by RNA-RNA interactions.
Types of RNAi ( non coding RNA)
MiRNA
Length (23-25 nt)
Trans acting
Binds with target MRNA in mismatch
Translation inhibition
Si RNA
Length 21 nt.
Cis acting
Bind with target Mrna in perfect complementary sequence
Piwi-RNA
Length ; 25 to 36 nt.
Expressed in Germ Cells
Regulates trnasposomes activity
MECHANISM OF RNAI:
First the double-stranded RNA teams up with a protein complex named Dicer, which cuts the long RNA into short pieces.
Then another protein complex called RISC (RNA-induced silencing complex) discards one of the two RNA strands.
The RISC-docked, single-stranded RNA then pairs with the homologous mRNA and destroys it.
THE RISC COMPLEX:
RISC is large(>500kD) RNA multi- protein Binding complex which triggers MRNA degradation in response to MRNA
Unwinding of double stranded Si RNA by ATP independent Helicase
Active component of RISC is Ago proteins( ENDONUCLEASE) which cleave target MRNA.
DICER: endonuclease (RNase Family III)
Argonaute: Central Component of the RNA-Induced Silencing Complex (RISC)
One strand of the dsRNA produced by Dicer is retained in the RISC complex in association with Argonaute
ARGONAUTE PROTEIN :
1.PAZ(PIWI/Argonaute/ Zwille)- Recognition of target MRNA
2.PIWI (p-element induced wimpy Testis)- breaks Phosphodiester bond of mRNA.)RNAse H activity.
MiRNA:
The Double-stranded RNAs are naturally produced in eukaryotic cells during development, and they have a key role in regulating gene expression .
A brief information about the SCOP protein database used in bioinformatics.
The Structural Classification of Proteins (SCOP) database is a comprehensive and authoritative resource for the structural and evolutionary relationships of proteins. It provides a detailed and curated classification of protein structures, grouping them into families, superfamilies, and folds based on their structural and sequence similarities.
The increased availability of biomedical data, particularly in the public domain, offers the opportunity to better understand human health and to develop effective therapeutics for a wide range of unmet medical needs. However, data scientists remain stymied by the fact that data remain hard to find and to productively reuse because data and their metadata i) are wholly inaccessible, ii) are in non-standard or incompatible representations, iii) do not conform to community standards, and iv) have unclear or highly restricted terms and conditions that preclude legitimate reuse. These limitations require a rethink on data can be made machine and AI-ready - the key motivation behind the FAIR Guiding Principles. Concurrently, while recent efforts have explored the use of deep learning to fuse disparate data into predictive models for a wide range of biomedical applications, these models often fail even when the correct answer is already known, and fail to explain individual predictions in terms that data scientists can appreciate. These limitations suggest that new methods to produce practical artificial intelligence are still needed.
In this talk, I will discuss our work in (1) building an integrative knowledge infrastructure to prepare FAIR and "AI-ready" data and services along with (2) neurosymbolic AI methods to improve the quality of predictions and to generate plausible explanations. Attention is given to standards, platforms, and methods to wrangle knowledge into simple, but effective semantic and latent representations, and to make these available into standards-compliant and discoverable interfaces that can be used in model building, validation, and explanation. Our work, and those of others in the field, creates a baseline for building trustworthy and easy to deploy AI models in biomedicine.
Bio
Dr. Michel Dumontier is the Distinguished Professor of Data Science at Maastricht University, founder and executive director of the Institute of Data Science, and co-founder of the FAIR (Findable, Accessible, Interoperable and Reusable) data principles. His research explores socio-technological approaches for responsible discovery science, which includes collaborative multi-modal knowledge graphs, privacy-preserving distributed data mining, and AI methods for drug discovery and personalized medicine. His work is supported through the Dutch National Research Agenda, the Netherlands Organisation for Scientific Research, Horizon Europe, the European Open Science Cloud, the US National Institutes of Health, and a Marie-Curie Innovative Training Network. He is the editor-in-chief for the journal Data Science and is internationally recognized for his contributions in bioinformatics, biomedical informatics, and semantic technologies including ontologies and linked data.
System Effects of Implementing Electrofuels for Decarbonisation of the Transport Sector in a Danish Perspective
1. 6th International Conference on Smart Energy Systems
6-7 October 2020
#SESAAU2020
System Effects of Implementing
Electrofuels for Decarbonisation of the
Transport Sector in a Danish Perspective
Brian Vad Mathiesen & Christian Bundgaard
Sustainable energy planning group, Aalborg University
christianb@plan.aau.dk
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2. 6th International Conference on Smart Energy Systems
6-7 October 2020
#SESAAU2020
The role of electrofuels
• Integration of fluctuating renewable energy sources
• Decarbonisation of transport not suited for direct electrification
• Sustainable utilisation of biomass
3. 6th International Conference on Smart Energy Systems
6-7 October 2020
#SESAAU2020
Electrofuels and production methods
• 3 types of transport
– Heavy road transportation
– Aviation
– Shipping
• 5 types of fuel
– Methane
– Methanol
– DME
– JP
– Ammonia
• 4 types of production
– Gasification
– Point source (high) – Post combustion capture at large biomass CHP, 400 €/ton/year
– Point source (low) – Biogas upgrade, 20 €/ton/year
– Nitrogen capture
4. 6th International Conference on Smart Energy Systems
6-7 October 2020
#SESAAU2020
Two possibilities for flexibility
• Dynamic operation of the electrolysis in relation to the electricity price (70 %
buffer capacity)
• The fuel synthesis is assumed to be able to be operated dynamically, but not in
direct dependence on the electrolysis
• Two possibilities for flexibility
1. Hydrogen storage
2. Buffer capacity of CO2/N2 capture and CO2/N2 storage
5. Significant price difference for
hydrogen and CO2 storage
• Hydrogen storage
– Tank @ 200 bar: 45 €/kWh1
– Cavern: 1,8 €/kWh1
• CO2 storage
– Low pressure: 568 €/ton2
– Medium pressure: 875 €/ton2
– High pressure: 3.380 €/ton2
• 1 MWh of methanol
– 36 kg of hydrogen
– 263 kg of CO2
6th International Conference on Smart Energy Systems
6-7 October 2020
#SESAAU2020
53,685
2,147
149 230 889
0
10,000
20,000
30,000
40,000
50,000
60,000
Tank Cavern Low pressure Medium
pressure
High pressure
Hydrogen storage CO2 storage
CAPEX[€]
Storage CAPEX for production of 1 MWh of methanol
1 Technology Data – Energy Storage (2018),
Danish Energy Agency
2 Shipping CO2 - UK Cost Estimation Study (2018),
Element Energy
6. Buffer capacity and storage
• Flexibility by hydrogen storage
– Electrolysis: 70 % buffer capacity (5.153 FLH)
– 5 days of hydrogen storage (half of the technical optimum)
• Flexibility by buffer capacity of CO2/N2 capture and CO2/N2 storage
– Electrolysis: 70 % buffer capacity (5.153 FLH)
– CO2/N2 capture:
• Methane: 70 % buffer capacity
• Methanol (incl. DME and JP): 50 % buffer capacity
• Ammonia: 50 % buffer capacity
– 5 hours of hydrogen storage
– 7 days of CO2/N2 storage
6th International Conference on Smart Energy Systems
6-7 October 2020
#SESAAU2020
7. Flexibility by hydrogen storage*
6th International Conference on Smart Energy Systems
6-7 October 2020
#SESAAU2020
-50
0
50
100
150
200
250
300
350 Gasification,compressed
Gasification,liquid
Pointsource(high),compressed
Pointsource(high),liquid
Pointsource(low),compressed
Pointsource(low),liquid
Gasification
Pointsource(high)
Pointsource(low)
Gasification
Pointsource(high)
Pointsource(low)
Gasification
Pointsource(high)
Pointsource(low)
Ammonia(N2capture)
Hydrogen
Oil
Naturalgas
Methane Methanol DME JP Other
Productioncost[€/MWh]
Electricity, electrolyser Electricity, other Electrolyser Hydrogen storage
Fuel synthesis Carbon capture (point source) Carbon capture (biogas upgrade) Nitrogen capture
Gasification plant Compression Carbon storage Producer gas storage
Nitrogen storage Surplus heat Reference
*Preliminary results
8. Flexibility by buffer capacity of CO2/N2 capture*
6th International Conference on Smart Energy Systems
6-7 October 2020
#SESAAU2020
-50
0
50
100
150
200
250
300
350 Gasification,compressed
Gasification,liquid
Pointsource(high),compressed
Pointsource(high),liquid
Pointsource(low),compressed
Pointsource(low),liquid
Gasification
Pointsource(high)
Pointsource(low)
Gasification
Pointsource(high)
Pointsource(low)
Gasification
Pointsource(high)
Pointsource(low)
Ammonia(N2capture)
Hydrogen
Oil
Naturalgas
Methane Methanol DME JP Other
Productioncost[€/MWh]
Electricity, electrolyser Electricity, other Electrolyser Hydrogen storage
Fuel synthesis Carbon capture (point source) Carbon capture (biogas upgrade) Nitrogen capture
Gasification plant Compression Carbon storage Producer gas storage
Nitrogen storage Surplus heat Reference
*Preliminary results
9. Comparison*
6th International Conference on Smart Energy Systems
6-7 October 2020
#SESAAU2020 *Preliminary results
0
50
100
150
200
250
300 Pointsource(high),compressed
Pointsource(high),liquid
Gasification,compressed
Gasification,liquid
Pointsource(low),compressed
Pointsource(low),liquid
Pointsource(high)
Gasification
Pointsource(low)
Pointsource(high)
Gasification
Pointsource(low)
Pointsource(high)
Gasification
Pointsource(low)
Ammonia(N2capture)
Hydrogen
Oil
Naturalgas
Methane DME JP Methanol Other
Productioncost[€/MWh]
Hydrogen storage CO2/N2 buffer capacity Reference
10. CO2 shadow price
• The CO2 shadow price for CCU depends on the application and alternatives
• A high price of the substituted fossil fuels lowers the CO2 shadow price
• High CO2 emissions of substituted fossil fuels lowers the CO2 shadow price
• CCU3 production cost as estimated with CO2/N2 capture buffer capacity
• CCS4 of 141 €/ton as estimated by The Danish Council on Climate Change5
6th International Conference on Smart Energy Systems
6-7 October 2020
#SESAAU2020
3 CCU = Carbon capture and utilisation
4 CCS = Carbon capture and storage
5 Kendte veje og nye spor til 70 procents reduction (2020), The Danish Council on Climate Change
11. Assumptions for substituted fuel
Type of
transport
Type of fuel Price (2030)
[€/GJ]6
CO2
(combustion)
[kg CO2/ GJ]7
CO2 (upstream)
[kg CO2/ GJ]8
Heavy road
transportation
Diesel 15,0 74,0 11,5
Aviation JP1 14,6 72,0 11,5
Shipping HFO 10,5 78,9 13,5
6th International Conference on Smart Energy Systems
6-7 October 2020
#SESAAU2020
6 Samfundsøkonomiske beregningsforudsætninger for energipriser og emissioner (2019), Danish Energy Agency
7 Energy statistics 2018 (2020), Danish Energy Agency
8 Fastlæggelse af energidata til brug i CO2-opgørelser (2011), Thomas Astrup, Ole Dall, and Henrik Wenzel
12. CO2 shadow price*
6th International Conference on Smart Energy Systems
6-7 October 2020
#SESAAU2020
0
50
100
150
200
250
300
350
400
450
Methane Methanol DME JP Methane Methanol DME Ammonia
Heavy road transportation Aviation Shipping
CostofavoidedCO2[€/ton]
Price of fossil fuels: 100 % of reference value
Gasification Point source (high) Point source (low) Nitrogen capture CCS
*Preliminary results
13. CO2 shadow price*
6th International Conference on Smart Energy Systems
6-7 October 2020
#SESAAU2020
0
50
100
150
200
250
300
350
400
450
Methane Methanol DME JP Methane Methanol DME Ammonia
Heavy road transportation Aviation Shipping
CostofavoidedCO2[€/ton]
Price of fossil fuels: 150 % of reference value
Gasification Point source (high) Point source (low) Nitrogen capture CCS
*Preliminary results
14. CO2 shadow price*
6th International Conference on Smart Energy Systems
6-7 October 2020
#SESAAU2020
0
50
100
150
200
250
300
350
400
450
Methane Methanol DME JP Methane Methanol DME Ammonia
Heavy road transportation Aviation Shipping
CostofavoidedCO2[€/ton]
Price of fossil fuels: 50 % of reference value
Gasification Point source (high) Point source (low) Nitrogen capture CCS
*Preliminary results
15. 6th International Conference on Smart Energy Systems
6-7 October 2020
#SESAAU2020
Thank you for your attention!
Questions?
Brian Vad Mathiesen & Christian Bundgaard
Sustainable energy planning group, Aalborg University
christianb@plan.aau.dk
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