SlideShare une entreprise Scribd logo
1  sur  4
Télécharger pour lire hors ligne
i
Project description:
Challenges and Opportunities of Biogas Production
in the European Union
Keywords: Biogas, Food security, Greenhouse gas emissions, European Simulation Model,
Integrative assessment model, Scenarios, Photo-bioreactor, Edible insects, Microalgae,
Bacteria, biorefinery, Lifecycle Assessment, Unlocking Investment Opportunities
Presented by
Patrice Djoko Noumodje
Email: djoko.noumodje@gmail.com
dnpatrice2001@yahoo.fr
1
The production of biogas from agricultural resources contributes to the mitigation of greenhouse gas
emissions and helps European farmers to diversify their incomes so as to withstand the progressive
integration of sustainability measures in the common agricultural policy (CAP). By contrast, the
increased demand of energy crops may affect the world market prices and average crop prices in the
European Union. The change of term of trade of major crops may increase land and other resources
allocated to the production of energy crops at the expense of food cereal and thus have repercussions
on environment and food security elsewhere. As the marginal propensity to spend on food cereal is
higher in the rest of the world than in the European Union, the decline in terms of trade might even
offset the income effect of development aid.
European Simulation Model (ESIM) is the Partial Equilibrium (PE) model designed to examine the
effect of shocks on the EU agricultural market, but the impact of potential changes at farm level
cannot be highlighted by PE models. In fact, producers always faced decisions concerning the
allocation of their limited resources in various components of the farming systems. They sought for
alternative cropping systems that optimize the existing and underutilize land to contribute to the
EU2030 objectives. A weak association of animal breeding to crop production can increase the carbon
emission of farming activities, undermine the positive reserve of ecological focus areas and thereby
cancel the GHG mitigation effect of biogas production. The irrational use of biogas production
residues as a valuable fertilizer may accelerate the eutrophication of lakes. ESIM model does not
depict structural and technological changes that are occurring with the introduction of new
technologies (in particular those for lignocellulosic and woody biomass, microalgae and edible
insects) and that have the potential by enabling biomethane production and provision of high quality
nutritional proteins for relaxing the global biomass demand. It does consider neither GHG emissions
associated with the production of biomass and its use for energy nor emissions caused indirectly
through increased imports of agricultural commodities. ESIM model does not examine the mandatory
reduction targets of the non-ETS energy sector that may have strong effects on biomass demand and
therefore affect the entire agricultural sector. GHG emission mitigation policies enacted
simultaneously by other economies are not depicted in ESIM model, but still they might amplify price
effects. The model does not include in the analysis important sectors that are closely linked to the
biomass demand, such as fossil energy sectors and fossil-based energy demand. In this perspective,
the government support systems, which mainly concentrate on the biogas production, appeared to be
economically and environmentally inefficient, if the energy transition, food security and CO2
emission reduction are the overall objective. Of particular interest is to extend the modelling system
to cover innovative technologies related to biomass supply and initiate difference in model system in
order to derive conclusion on global food security and welfare and indirect global land use change
including GHG emissions effects.
Although the interface between global crop market model, regional economic farm emission model
and lifecycle assessment results helps to draw environmental as well as economic statements on the
shifting effects of changing demand for certain agricultural products, the resulting modelling system
ignores the underlying causes of environmental degradation. In fact, the statements on long-term
biogas demand effects on global food security and welfare cannot be made only from the fact of rising
food prices. The relationship between food prices on world markets and household food security is
complex and the impacts on both the economy and household level may differ by country. Higher
world market prices for food decrease the foreign trade balance of net food-importing countries, but
increase it for net food – exporting countries. Increasing food prices negatively affect the income of
net food buying households, whereas net food selling ones are positively affected. Further, higher
2
world market prices of major crops increase foreign direct investments and induce different forms of
contract farming and vertical coordination since smallholder farmers are not equipped to compete in
a globalized market. As a result, the role of supplying farmers changes from independent farmers, to
contracted-farmers, quasi farmers and to farmer workers which may have important welfare
implications. Thus, the effectiveness of biogas production depends on new sense of global partnership
in which people and countries understand that their fates are linked, sectors previously seen as
domestic have become international and that a good international formula is for national interest. This
insight imposes to marry international perspectives with regional, national and local perspectives. EU
biogas strategy should align the multi-region, multi-sector computable general equilibrium (CGE)
model for climate policy analysis that provides both a unifying framework for combining
technological details of bottom-up models and large-scale richness of top-down model and a structure
for establishing and sharing responsibilities among regions and even across sectors.
Computable General Equilibrium (CGE) model is the analytical tool designed to examine and derive
computationally the impacts of policies or shocks in the entire economy, but the impact of land use
change, trade differentiation and climate and energy policies cannot be highlighted by standard CGE
models. In fact, standard CGE model does not consider carbon emissions (CO2) and market emissions
permits and allowances. Usually technical progress is exogenous in the standard CGE model, and yet
technological progress can raise total factor productivity or productivity of certain input factor like
labour or energy. Standard CGE model neither divides output into exports and domestic supply nor
splits consumption into a constant (subsistence level) and variable part. It is not suitable for handling
decision making problem since it is conceived with the aim of finding the equilibrium of a system.
Although individual optimizing behaviour and decisions of consumers and firms are embedded in
functions describing the agents’ choices in response to the values of variables facing them, there is
no clear objective functions to optimize. In standard CGE model, the economy is producing on its
production possibility frontier. As all factors are maximized, factor market balance and condition of
profit maximization are held and no resources are left over. Though, an equilibrium may involve for
many economic problems some goods not being used and therefore some resources left over or some
possible trade links not being actively used. These shortcomings hinder any initiatives related to the
monitoring of the expansion of biogas in the EU so as to handle the effect on food security,
environment and global welfare.
Keeping track of the expansion of biogas in the context of uncertainties requires tools and instruments
for predicting and assessing alternative futures and pathways to achieve the desired future. Scenarios
and integrative assessment models are combined to develop decision tools that enable policy makers
to monitor the evolution of biogas production, ensure its sustainability and to assign support based
on proper understanding of risks. Circularity and lifecycle assessment software, corporate
sustainability software solution and green building software enable stakeholders to improve the
environmental performance of products and services through the reduction of scope 1, 2 and 3
emissions and to generate ecological spaces necessary for offsetting irreducible GHG emissions.
Having combined material circularity indicators, lifecycle assessment results and multifunctional
agriculture assessment results into one index and then integrated that index in farm model, the
internet-based and user-friendly software enables farmers to self-control their practices so as to
optimize their economic goals while minimizing the impact of the activities on the environment and
global food security.
3
Although decision tools enable stakeholders to monitor the sustainability of biogas production from
agricultural resources, they circumvent the real problem related to population growth and its strains
on limited resources. They do neither enable stakeholders to fully decouple pressures on natural
resources and environmental impacts from economic growth nor allow them to really address major
societal challenges such as climate change, food insecurity and poverty and therefore need to be
complemented with future agricultural and energy production systems.
Given that carbon sequestration potential, soil carbon content and biodiversity characteristics vary
from one ecosystem or ecological focus area to another, the greening instruments as currently
implemented are unlikely to significantly enhance the CAP’s environmental and climate
performances. They are based on obligations of means but not results. They are set neither to put
stakeholders on the path to really achieve clear and sufficiently ambitious environmental targets nor
to give EU authorities the possibility to ensure fairer distribution of direct payments. Carbon farming
is the smart approach for decoupling direct payments from crop areas to soil carbon contents. Carbon
farming solves the classic free-rider problems associated to environmentally friendly purchasing
since it enables consumers to reward through price premium the real effort for environmental
protection.
Edible insects, microalgae, lignocellulosic and woody biomass and bacteria are used to form a new
pillar of food and energy system that is decoupled from both agriculture and fossil fuels. While insects
can be grown on organic wastes reducing environmental contamination, algae cultivation may be
used for digestates and agricultural wastewaters treatment for the production of food, feed,
biofertilizers and methane and greenhouse gas credits. Bacteria can digest carbon dioxide to produce
feed protein for aquaculture. More practically, microalgal biomethane production integrated with
existing biogas plant improves the value of digestates to farmers, diversifies incomes through the
development of microalgae-based products and solve the eutrophication potential of biogas by-
products. Biomethane obtained through biomass thermochemical conversion belongs to the category
of second generation biofuels which in contrast to first generation does not enter in direct competition
with crop for food and fodder. With the integration of food and non-food activities on the same land
parcels, cascade use of biomass is the smart way to use natural resources and minimize the
competition between food and non-food use of organic matter. Biorefinery fed of agricultural biomass
and wood allows the designing of the future factory that produces plant-based proteins, chemicals,
omega fatty acids, bioplastics and biofuels. While biofuels play a significant role in regard to carbon
emission reduction in the transportation sector, plant-based proteins are contributing to solve
livestock crisis. Biomass residues processing to value added chemical building blocks for biobased
products improve material efficiency measures for green buildings.
New infrastructure investments are needed to ensure the sustainability of biogas production in the
European Union and to make infrastructure contributing to the reduction of greenhouse gas emissions,
improving footprint of products and services and more resilient to the effect of climate change.
However, high-capital and technology-intensive investments are exposed to financial and operating
risks that private companies and farmers are unaccustomed to dealing with, managing and mitigating
and do not want to expose their own balance-sheets directly to those risks. Handling this situation
requires raising money in a special purpose vehicle that has no recourse or very limited recourse to
farmers or private companies. Cascading approach for unlocking investment opportunities is
deployed to mobilize and crowd public and private funds to finance infrastructure, make the risks to
investor’s balance-sheets quite remote and therefore to ensure the transformational shift towards
sustainable biogas production in the European Union.

Contenu connexe

Tendances

BC3 Policy Briefings: [2015-03] Under what conditions is the bioethanol and b...
BC3 Policy Briefings: [2015-03] Under what conditions is the bioethanol and b...BC3 Policy Briefings: [2015-03] Under what conditions is the bioethanol and b...
BC3 Policy Briefings: [2015-03] Under what conditions is the bioethanol and b...BC3 - Basque Center for Climate Change
 
Low Emissions Development Strategies (Colombia Feb 20, 2014)
Low Emissions Development Strategies (Colombia Feb 20, 2014)Low Emissions Development Strategies (Colombia Feb 20, 2014)
Low Emissions Development Strategies (Colombia Feb 20, 2014)IFPRI-EPTD
 
Using whole-farm models for policy analysis of Climate Smart Agriculture
Using whole-farm models for policy analysis of Climate Smart AgricultureUsing whole-farm models for policy analysis of Climate Smart Agriculture
Using whole-farm models for policy analysis of Climate Smart AgricultureFAO
 
Building an evidence base for climate change adaptation in agriculture: Phili...
Building an evidence base for climate change adaptation in agriculture: Phili...Building an evidence base for climate change adaptation in agriculture: Phili...
Building an evidence base for climate change adaptation in agriculture: Phili...FAO
 
Implementing a national MRV system in the Framework of the South African Clim...
Implementing a national MRV system in the Framework of the South African Clim...Implementing a national MRV system in the Framework of the South African Clim...
Implementing a national MRV system in the Framework of the South African Clim...CIFOR-ICRAF
 
Economic Comparison of Effects of Clean Energy Legislation on Agriculture Sector
Economic Comparison of Effects of Clean Energy Legislation on Agriculture SectorEconomic Comparison of Effects of Clean Energy Legislation on Agriculture Sector
Economic Comparison of Effects of Clean Energy Legislation on Agriculture SectorAmerican Farmland Trust
 
Long-term scenario building for food and agriculture: A global overall model ...
Long-term scenario building for food and agriculture: A global overall model ...Long-term scenario building for food and agriculture: A global overall model ...
Long-term scenario building for food and agriculture: A global overall model ...FAO
 
Module 2: Overview of Nationally Appropriate Mitigation Actions – the FAO Lea...
Module 2: Overview of Nationally Appropriate Mitigation Actions – the FAO Lea...Module 2: Overview of Nationally Appropriate Mitigation Actions – the FAO Lea...
Module 2: Overview of Nationally Appropriate Mitigation Actions – the FAO Lea...FAO
 
Analysis and Mapping of Impacts under Climate Change for Adaptation and Food ...
Analysis and Mapping of Impacts under Climate Change for Adaptation and Food ...Analysis and Mapping of Impacts under Climate Change for Adaptation and Food ...
Analysis and Mapping of Impacts under Climate Change for Adaptation and Food ...FAO
 
Agriculture and climate change A Lecture By Mr Allah Dad Khan Former DG Agri...
Agriculture and climate change  A Lecture By Mr Allah Dad Khan Former DG Agri...Agriculture and climate change  A Lecture By Mr Allah Dad Khan Former DG Agri...
Agriculture and climate change A Lecture By Mr Allah Dad Khan Former DG Agri...Mr.Allah Dad Khan
 
FAO’s Work on Climate Change
FAO’s Work on Climate ChangeFAO’s Work on Climate Change
FAO’s Work on Climate ChangeFAO
 
Module 3: Step-by-step NAMA development - NAMA ideas, concept notes and propo...
Module 3: Step-by-step NAMA development - NAMA ideas, concept notes and propo...Module 3: Step-by-step NAMA development - NAMA ideas, concept notes and propo...
Module 3: Step-by-step NAMA development - NAMA ideas, concept notes and propo...FAO
 
Module 4: Measurement, Reporting and Verification (MRV) for an AFOLU NAMA – t...
Module 4: Measurement, Reporting and Verification (MRV) for an AFOLU NAMA – t...Module 4: Measurement, Reporting and Verification (MRV) for an AFOLU NAMA – t...
Module 4: Measurement, Reporting and Verification (MRV) for an AFOLU NAMA – t...FAO
 

Tendances (20)

BC3 Policy Briefings: [2015-03] Under what conditions is the bioethanol and b...
BC3 Policy Briefings: [2015-03] Under what conditions is the bioethanol and b...BC3 Policy Briefings: [2015-03] Under what conditions is the bioethanol and b...
BC3 Policy Briefings: [2015-03] Under what conditions is the bioethanol and b...
 
Low Emissions Development Strategies (Colombia Feb 20, 2014)
Low Emissions Development Strategies (Colombia Feb 20, 2014)Low Emissions Development Strategies (Colombia Feb 20, 2014)
Low Emissions Development Strategies (Colombia Feb 20, 2014)
 
Using whole-farm models for policy analysis of Climate Smart Agriculture
Using whole-farm models for policy analysis of Climate Smart AgricultureUsing whole-farm models for policy analysis of Climate Smart Agriculture
Using whole-farm models for policy analysis of Climate Smart Agriculture
 
Building an evidence base for climate change adaptation in agriculture: Phili...
Building an evidence base for climate change adaptation in agriculture: Phili...Building an evidence base for climate change adaptation in agriculture: Phili...
Building an evidence base for climate change adaptation in agriculture: Phili...
 
Implementing a national MRV system in the Framework of the South African Clim...
Implementing a national MRV system in the Framework of the South African Clim...Implementing a national MRV system in the Framework of the South African Clim...
Implementing a national MRV system in the Framework of the South African Clim...
 
Economic Comparison of Effects of Clean Energy Legislation on Agriculture Sector
Economic Comparison of Effects of Clean Energy Legislation on Agriculture SectorEconomic Comparison of Effects of Clean Energy Legislation on Agriculture Sector
Economic Comparison of Effects of Clean Energy Legislation on Agriculture Sector
 
From global to local: Modeling low emissions development strategies
From global to local: Modeling low emissions development strategiesFrom global to local: Modeling low emissions development strategies
From global to local: Modeling low emissions development strategies
 
Long-term scenario building for food and agriculture: A global overall model ...
Long-term scenario building for food and agriculture: A global overall model ...Long-term scenario building for food and agriculture: A global overall model ...
Long-term scenario building for food and agriculture: A global overall model ...
 
Target setting in agriculture
Target setting in agricultureTarget setting in agriculture
Target setting in agriculture
 
Module 2: Overview of Nationally Appropriate Mitigation Actions – the FAO Lea...
Module 2: Overview of Nationally Appropriate Mitigation Actions – the FAO Lea...Module 2: Overview of Nationally Appropriate Mitigation Actions – the FAO Lea...
Module 2: Overview of Nationally Appropriate Mitigation Actions – the FAO Lea...
 
Up and Down the Geographical and Temporal Scales: Integrating Global Trends ...
Up and Down the Geographical and Temporal Scales: Integrating Global Trends ...Up and Down the Geographical and Temporal Scales: Integrating Global Trends ...
Up and Down the Geographical and Temporal Scales: Integrating Global Trends ...
 
Analysis and Mapping of Impacts under Climate Change for Adaptation and Food ...
Analysis and Mapping of Impacts under Climate Change for Adaptation and Food ...Analysis and Mapping of Impacts under Climate Change for Adaptation and Food ...
Analysis and Mapping of Impacts under Climate Change for Adaptation and Food ...
 
The Fertilizer sector in Thailand- Wannarut Chutibut
The Fertilizer sector in Thailand- Wannarut ChutibutThe Fertilizer sector in Thailand- Wannarut Chutibut
The Fertilizer sector in Thailand- Wannarut Chutibut
 
Agriculture and climate change A Lecture By Mr Allah Dad Khan Former DG Agri...
Agriculture and climate change  A Lecture By Mr Allah Dad Khan Former DG Agri...Agriculture and climate change  A Lecture By Mr Allah Dad Khan Former DG Agri...
Agriculture and climate change A Lecture By Mr Allah Dad Khan Former DG Agri...
 
FAO’s Work on Climate Change
FAO’s Work on Climate ChangeFAO’s Work on Climate Change
FAO’s Work on Climate Change
 
Module 3: Step-by-step NAMA development - NAMA ideas, concept notes and propo...
Module 3: Step-by-step NAMA development - NAMA ideas, concept notes and propo...Module 3: Step-by-step NAMA development - NAMA ideas, concept notes and propo...
Module 3: Step-by-step NAMA development - NAMA ideas, concept notes and propo...
 
Module 4: Measurement, Reporting and Verification (MRV) for an AFOLU NAMA – t...
Module 4: Measurement, Reporting and Verification (MRV) for an AFOLU NAMA – t...Module 4: Measurement, Reporting and Verification (MRV) for an AFOLU NAMA – t...
Module 4: Measurement, Reporting and Verification (MRV) for an AFOLU NAMA – t...
 
Demystifying GHG inventories and MRV systems
Demystifying GHG inventories and MRV systemsDemystifying GHG inventories and MRV systems
Demystifying GHG inventories and MRV systems
 
Quantitative foresight modeling to inform prioritization - Keith Wiebe
Quantitative foresight modeling to inform prioritization - Keith WiebeQuantitative foresight modeling to inform prioritization - Keith Wiebe
Quantitative foresight modeling to inform prioritization - Keith Wiebe
 
BioPreferred Webinar March 14
BioPreferred Webinar March 14BioPreferred Webinar March 14
BioPreferred Webinar March 14
 

Similaire à Challenges and Opportunities of Biogas Production in the European Union

Outlook_for_biogas_and_biomethane.pdf
Outlook_for_biogas_and_biomethane.pdfOutlook_for_biogas_and_biomethane.pdf
Outlook_for_biogas_and_biomethane.pdfManjunathGL2
 
Seminar: Les Levidow & Helena Paul on biofuels
Seminar: Les Levidow & Helena Paul on biofuelsSeminar: Les Levidow & Helena Paul on biofuels
Seminar: Les Levidow & Helena Paul on biofuelsSTEPS Centre
 
Green Chemistry - Economical View
Green Chemistry - Economical ViewGreen Chemistry - Economical View
Green Chemistry - Economical ViewRohan Khanna
 
BC3 Policy Briefings: [2015-02] Modelling ecosystem services trade-offs in ag...
BC3 Policy Briefings: [2015-02] Modelling ecosystem services trade-offs in ag...BC3 Policy Briefings: [2015-02] Modelling ecosystem services trade-offs in ag...
BC3 Policy Briefings: [2015-02] Modelling ecosystem services trade-offs in ag...BC3 - Basque Center for Climate Change
 
Climate Change, Agriculture, and Food Security
Climate Change, Agriculture, and Food SecurityClimate Change, Agriculture, and Food Security
Climate Change, Agriculture, and Food SecurityJoachim von Braun
 
BSB908_Virtual Infoday__BAA.pdf
BSB908_Virtual Infoday__BAA.pdfBSB908_Virtual Infoday__BAA.pdf
BSB908_Virtual Infoday__BAA.pdfLiaFilipaKirova
 
Presentation EEAC briefing paper PV EU.pptx
Presentation EEAC briefing paper PV EU.pptxPresentation EEAC briefing paper PV EU.pptx
Presentation EEAC briefing paper PV EU.pptxKrijn Poppe
 
Bali-Singla2021_Article_EmergingTrendsInMachineLearnin.pdf
Bali-Singla2021_Article_EmergingTrendsInMachineLearnin.pdfBali-Singla2021_Article_EmergingTrendsInMachineLearnin.pdf
Bali-Singla2021_Article_EmergingTrendsInMachineLearnin.pdfmawande sikibi
 
Agriculture and the environment lessons learned from a decade of oecd work
Agriculture and the environment lessons learned from a decade of oecd workAgriculture and the environment lessons learned from a decade of oecd work
Agriculture and the environment lessons learned from a decade of oecd workDebbie-Ann Hall
 
THE USE OF INTERNET OF THINGS FOR THE SUSTAINABILITY OF THE AGRICULTURAL SECT...
THE USE OF INTERNET OF THINGS FOR THE SUSTAINABILITY OF THE AGRICULTURAL SECT...THE USE OF INTERNET OF THINGS FOR THE SUSTAINABILITY OF THE AGRICULTURAL SECT...
THE USE OF INTERNET OF THINGS FOR THE SUSTAINABILITY OF THE AGRICULTURAL SECT...IAEME Publication
 
Hotl agrofuels-1
Hotl agrofuels-1Hotl agrofuels-1
Hotl agrofuels-1FIAN Norge
 
A Foreseeable Disaster: The European Union’s agroenergy policies and the glob...
A Foreseeable Disaster: The European Union’s agroenergy policies and the glob...A Foreseeable Disaster: The European Union’s agroenergy policies and the glob...
A Foreseeable Disaster: The European Union’s agroenergy policies and the glob...FIAN Norge
 
Item 13. Update on the OECD work on climate change adaptation in agriculture.pdf
Item 13. Update on the OECD work on climate change adaptation in agriculture.pdfItem 13. Update on the OECD work on climate change adaptation in agriculture.pdf
Item 13. Update on the OECD work on climate change adaptation in agriculture.pdfOECD Environment
 
Poyry - Are you ready for the Age of Confluence? - Point of View
Poyry - Are you ready for the Age of Confluence? - Point of ViewPoyry - Are you ready for the Age of Confluence? - Point of View
Poyry - Are you ready for the Age of Confluence? - Point of ViewPöyry
 
Biotec n climate change
Biotec n climate changeBiotec n climate change
Biotec n climate changeGay Delgado
 
BC3 Policy Briefings: [2015-07] European Biofuels Policy and Its contribution...
BC3 Policy Briefings: [2015-07] European Biofuels Policy and Its contribution...BC3 Policy Briefings: [2015-07] European Biofuels Policy and Its contribution...
BC3 Policy Briefings: [2015-07] European Biofuels Policy and Its contribution...BC3 - Basque Center for Climate Change
 
Escribano. 2016. Chapter in tech. organic livestock contraints & contribu...
Escribano. 2016. Chapter in tech. organic livestock contraints & contribu...Escribano. 2016. Chapter in tech. organic livestock contraints & contribu...
Escribano. 2016. Chapter in tech. organic livestock contraints & contribu...Alfredo J. Escribano, PhD., MBA
 
Organic Livestock Farming. Contribution to Food System Sustainability
Organic Livestock Farming. Contribution to Food System SustainabilityOrganic Livestock Farming. Contribution to Food System Sustainability
Organic Livestock Farming. Contribution to Food System SustainabilityAlfredo J. Escribano DVM, PhD, MBA
 

Similaire à Challenges and Opportunities of Biogas Production in the European Union (20)

Outlook_for_biogas_and_biomethane.pdf
Outlook_for_biogas_and_biomethane.pdfOutlook_for_biogas_and_biomethane.pdf
Outlook_for_biogas_and_biomethane.pdf
 
Seminar: Les Levidow & Helena Paul on biofuels
Seminar: Les Levidow & Helena Paul on biofuelsSeminar: Les Levidow & Helena Paul on biofuels
Seminar: Les Levidow & Helena Paul on biofuels
 
Green Chemistry - Economical View
Green Chemistry - Economical ViewGreen Chemistry - Economical View
Green Chemistry - Economical View
 
BC3 Policy Briefings: [2015-02] Modelling ecosystem services trade-offs in ag...
BC3 Policy Briefings: [2015-02] Modelling ecosystem services trade-offs in ag...BC3 Policy Briefings: [2015-02] Modelling ecosystem services trade-offs in ag...
BC3 Policy Briefings: [2015-02] Modelling ecosystem services trade-offs in ag...
 
Energy Efficiency
Energy EfficiencyEnergy Efficiency
Energy Efficiency
 
Climate Change, Agriculture, and Food Security
Climate Change, Agriculture, and Food SecurityClimate Change, Agriculture, and Food Security
Climate Change, Agriculture, and Food Security
 
BSB908_Virtual Infoday__BAA.pdf
BSB908_Virtual Infoday__BAA.pdfBSB908_Virtual Infoday__BAA.pdf
BSB908_Virtual Infoday__BAA.pdf
 
Presentation EEAC briefing paper PV EU.pptx
Presentation EEAC briefing paper PV EU.pptxPresentation EEAC briefing paper PV EU.pptx
Presentation EEAC briefing paper PV EU.pptx
 
Bali-Singla2021_Article_EmergingTrendsInMachineLearnin.pdf
Bali-Singla2021_Article_EmergingTrendsInMachineLearnin.pdfBali-Singla2021_Article_EmergingTrendsInMachineLearnin.pdf
Bali-Singla2021_Article_EmergingTrendsInMachineLearnin.pdf
 
Agriculture and the environment lessons learned from a decade of oecd work
Agriculture and the environment lessons learned from a decade of oecd workAgriculture and the environment lessons learned from a decade of oecd work
Agriculture and the environment lessons learned from a decade of oecd work
 
THE USE OF INTERNET OF THINGS FOR THE SUSTAINABILITY OF THE AGRICULTURAL SECT...
THE USE OF INTERNET OF THINGS FOR THE SUSTAINABILITY OF THE AGRICULTURAL SECT...THE USE OF INTERNET OF THINGS FOR THE SUSTAINABILITY OF THE AGRICULTURAL SECT...
THE USE OF INTERNET OF THINGS FOR THE SUSTAINABILITY OF THE AGRICULTURAL SECT...
 
Hotl agrofuels-1
Hotl agrofuels-1Hotl agrofuels-1
Hotl agrofuels-1
 
A Foreseeable Disaster: The European Union’s agroenergy policies and the glob...
A Foreseeable Disaster: The European Union’s agroenergy policies and the glob...A Foreseeable Disaster: The European Union’s agroenergy policies and the glob...
A Foreseeable Disaster: The European Union’s agroenergy policies and the glob...
 
Item 13. Update on the OECD work on climate change adaptation in agriculture.pdf
Item 13. Update on the OECD work on climate change adaptation in agriculture.pdfItem 13. Update on the OECD work on climate change adaptation in agriculture.pdf
Item 13. Update on the OECD work on climate change adaptation in agriculture.pdf
 
Poyry - Are you ready for the Age of Confluence? - Point of View
Poyry - Are you ready for the Age of Confluence? - Point of ViewPoyry - Are you ready for the Age of Confluence? - Point of View
Poyry - Are you ready for the Age of Confluence? - Point of View
 
Biotec n climate change
Biotec n climate changeBiotec n climate change
Biotec n climate change
 
Efita paper 357-1
Efita paper 357-1Efita paper 357-1
Efita paper 357-1
 
BC3 Policy Briefings: [2015-07] European Biofuels Policy and Its contribution...
BC3 Policy Briefings: [2015-07] European Biofuels Policy and Its contribution...BC3 Policy Briefings: [2015-07] European Biofuels Policy and Its contribution...
BC3 Policy Briefings: [2015-07] European Biofuels Policy and Its contribution...
 
Escribano. 2016. Chapter in tech. organic livestock contraints & contribu...
Escribano. 2016. Chapter in tech. organic livestock contraints & contribu...Escribano. 2016. Chapter in tech. organic livestock contraints & contribu...
Escribano. 2016. Chapter in tech. organic livestock contraints & contribu...
 
Organic Livestock Farming. Contribution to Food System Sustainability
Organic Livestock Farming. Contribution to Food System SustainabilityOrganic Livestock Farming. Contribution to Food System Sustainability
Organic Livestock Farming. Contribution to Food System Sustainability
 

Dernier

Labelling Requirements and Label Claims for Dietary Supplements and Recommend...
Labelling Requirements and Label Claims for Dietary Supplements and Recommend...Labelling Requirements and Label Claims for Dietary Supplements and Recommend...
Labelling Requirements and Label Claims for Dietary Supplements and Recommend...Lokesh Kothari
 
Raman spectroscopy.pptx M Pharm, M Sc, Advanced Spectral Analysis
Raman spectroscopy.pptx M Pharm, M Sc, Advanced Spectral AnalysisRaman spectroscopy.pptx M Pharm, M Sc, Advanced Spectral Analysis
Raman spectroscopy.pptx M Pharm, M Sc, Advanced Spectral AnalysisDiwakar Mishra
 
PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...
PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...
PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...Sérgio Sacani
 
Hubble Asteroid Hunter III. Physical properties of newly found asteroids
Hubble Asteroid Hunter III. Physical properties of newly found asteroidsHubble Asteroid Hunter III. Physical properties of newly found asteroids
Hubble Asteroid Hunter III. Physical properties of newly found asteroidsSérgio Sacani
 
Biological Classification BioHack (3).pdf
Biological Classification BioHack (3).pdfBiological Classification BioHack (3).pdf
Biological Classification BioHack (3).pdfmuntazimhurra
 
9654467111 Call Girls In Raj Nagar Delhi Short 1500 Night 6000
9654467111 Call Girls In Raj Nagar Delhi Short 1500 Night 60009654467111 Call Girls In Raj Nagar Delhi Short 1500 Night 6000
9654467111 Call Girls In Raj Nagar Delhi Short 1500 Night 6000Sapana Sha
 
GBSN - Microbiology (Unit 1)
GBSN - Microbiology (Unit 1)GBSN - Microbiology (Unit 1)
GBSN - Microbiology (Unit 1)Areesha Ahmad
 
Presentation Vikram Lander by Vedansh Gupta.pptx
Presentation Vikram Lander by Vedansh Gupta.pptxPresentation Vikram Lander by Vedansh Gupta.pptx
Presentation Vikram Lander by Vedansh Gupta.pptxgindu3009
 
GBSN - Microbiology (Unit 2)
GBSN - Microbiology (Unit 2)GBSN - Microbiology (Unit 2)
GBSN - Microbiology (Unit 2)Areesha Ahmad
 
Chemistry 4th semester series (krishna).pdf
Chemistry 4th semester series (krishna).pdfChemistry 4th semester series (krishna).pdf
Chemistry 4th semester series (krishna).pdfSumit Kumar yadav
 
All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...
All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...
All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...Sérgio Sacani
 
GBSN - Biochemistry (Unit 1)
GBSN - Biochemistry (Unit 1)GBSN - Biochemistry (Unit 1)
GBSN - Biochemistry (Unit 1)Areesha Ahmad
 
DIFFERENCE IN BACK CROSS AND TEST CROSS
DIFFERENCE IN  BACK CROSS AND TEST CROSSDIFFERENCE IN  BACK CROSS AND TEST CROSS
DIFFERENCE IN BACK CROSS AND TEST CROSSLeenakshiTyagi
 
Botany 4th semester series (krishna).pdf
Botany 4th semester series (krishna).pdfBotany 4th semester series (krishna).pdf
Botany 4th semester series (krishna).pdfSumit Kumar yadav
 
Biopesticide (2).pptx .This slides helps to know the different types of biop...
Biopesticide (2).pptx  .This slides helps to know the different types of biop...Biopesticide (2).pptx  .This slides helps to know the different types of biop...
Biopesticide (2).pptx .This slides helps to know the different types of biop...RohitNehra6
 
VIRUSES structure and classification ppt by Dr.Prince C P
VIRUSES structure and classification ppt by Dr.Prince C PVIRUSES structure and classification ppt by Dr.Prince C P
VIRUSES structure and classification ppt by Dr.Prince C PPRINCE C P
 
Hire 💕 9907093804 Hooghly Call Girls Service Call Girls Agency
Hire 💕 9907093804 Hooghly Call Girls Service Call Girls AgencyHire 💕 9907093804 Hooghly Call Girls Service Call Girls Agency
Hire 💕 9907093804 Hooghly Call Girls Service Call Girls AgencySheetal Arora
 
Chromatin Structure | EUCHROMATIN | HETEROCHROMATIN
Chromatin Structure | EUCHROMATIN | HETEROCHROMATINChromatin Structure | EUCHROMATIN | HETEROCHROMATIN
Chromatin Structure | EUCHROMATIN | HETEROCHROMATINsankalpkumarsahoo174
 

Dernier (20)

Labelling Requirements and Label Claims for Dietary Supplements and Recommend...
Labelling Requirements and Label Claims for Dietary Supplements and Recommend...Labelling Requirements and Label Claims for Dietary Supplements and Recommend...
Labelling Requirements and Label Claims for Dietary Supplements and Recommend...
 
Raman spectroscopy.pptx M Pharm, M Sc, Advanced Spectral Analysis
Raman spectroscopy.pptx M Pharm, M Sc, Advanced Spectral AnalysisRaman spectroscopy.pptx M Pharm, M Sc, Advanced Spectral Analysis
Raman spectroscopy.pptx M Pharm, M Sc, Advanced Spectral Analysis
 
9953056974 Young Call Girls In Mahavir enclave Indian Quality Escort service
9953056974 Young Call Girls In Mahavir enclave Indian Quality Escort service9953056974 Young Call Girls In Mahavir enclave Indian Quality Escort service
9953056974 Young Call Girls In Mahavir enclave Indian Quality Escort service
 
PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...
PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...
PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...
 
The Philosophy of Science
The Philosophy of ScienceThe Philosophy of Science
The Philosophy of Science
 
Hubble Asteroid Hunter III. Physical properties of newly found asteroids
Hubble Asteroid Hunter III. Physical properties of newly found asteroidsHubble Asteroid Hunter III. Physical properties of newly found asteroids
Hubble Asteroid Hunter III. Physical properties of newly found asteroids
 
Biological Classification BioHack (3).pdf
Biological Classification BioHack (3).pdfBiological Classification BioHack (3).pdf
Biological Classification BioHack (3).pdf
 
9654467111 Call Girls In Raj Nagar Delhi Short 1500 Night 6000
9654467111 Call Girls In Raj Nagar Delhi Short 1500 Night 60009654467111 Call Girls In Raj Nagar Delhi Short 1500 Night 6000
9654467111 Call Girls In Raj Nagar Delhi Short 1500 Night 6000
 
GBSN - Microbiology (Unit 1)
GBSN - Microbiology (Unit 1)GBSN - Microbiology (Unit 1)
GBSN - Microbiology (Unit 1)
 
Presentation Vikram Lander by Vedansh Gupta.pptx
Presentation Vikram Lander by Vedansh Gupta.pptxPresentation Vikram Lander by Vedansh Gupta.pptx
Presentation Vikram Lander by Vedansh Gupta.pptx
 
GBSN - Microbiology (Unit 2)
GBSN - Microbiology (Unit 2)GBSN - Microbiology (Unit 2)
GBSN - Microbiology (Unit 2)
 
Chemistry 4th semester series (krishna).pdf
Chemistry 4th semester series (krishna).pdfChemistry 4th semester series (krishna).pdf
Chemistry 4th semester series (krishna).pdf
 
All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...
All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...
All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...
 
GBSN - Biochemistry (Unit 1)
GBSN - Biochemistry (Unit 1)GBSN - Biochemistry (Unit 1)
GBSN - Biochemistry (Unit 1)
 
DIFFERENCE IN BACK CROSS AND TEST CROSS
DIFFERENCE IN  BACK CROSS AND TEST CROSSDIFFERENCE IN  BACK CROSS AND TEST CROSS
DIFFERENCE IN BACK CROSS AND TEST CROSS
 
Botany 4th semester series (krishna).pdf
Botany 4th semester series (krishna).pdfBotany 4th semester series (krishna).pdf
Botany 4th semester series (krishna).pdf
 
Biopesticide (2).pptx .This slides helps to know the different types of biop...
Biopesticide (2).pptx  .This slides helps to know the different types of biop...Biopesticide (2).pptx  .This slides helps to know the different types of biop...
Biopesticide (2).pptx .This slides helps to know the different types of biop...
 
VIRUSES structure and classification ppt by Dr.Prince C P
VIRUSES structure and classification ppt by Dr.Prince C PVIRUSES structure and classification ppt by Dr.Prince C P
VIRUSES structure and classification ppt by Dr.Prince C P
 
Hire 💕 9907093804 Hooghly Call Girls Service Call Girls Agency
Hire 💕 9907093804 Hooghly Call Girls Service Call Girls AgencyHire 💕 9907093804 Hooghly Call Girls Service Call Girls Agency
Hire 💕 9907093804 Hooghly Call Girls Service Call Girls Agency
 
Chromatin Structure | EUCHROMATIN | HETEROCHROMATIN
Chromatin Structure | EUCHROMATIN | HETEROCHROMATINChromatin Structure | EUCHROMATIN | HETEROCHROMATIN
Chromatin Structure | EUCHROMATIN | HETEROCHROMATIN
 

Challenges and Opportunities of Biogas Production in the European Union

  • 1. i Project description: Challenges and Opportunities of Biogas Production in the European Union Keywords: Biogas, Food security, Greenhouse gas emissions, European Simulation Model, Integrative assessment model, Scenarios, Photo-bioreactor, Edible insects, Microalgae, Bacteria, biorefinery, Lifecycle Assessment, Unlocking Investment Opportunities Presented by Patrice Djoko Noumodje Email: djoko.noumodje@gmail.com dnpatrice2001@yahoo.fr
  • 2. 1 The production of biogas from agricultural resources contributes to the mitigation of greenhouse gas emissions and helps European farmers to diversify their incomes so as to withstand the progressive integration of sustainability measures in the common agricultural policy (CAP). By contrast, the increased demand of energy crops may affect the world market prices and average crop prices in the European Union. The change of term of trade of major crops may increase land and other resources allocated to the production of energy crops at the expense of food cereal and thus have repercussions on environment and food security elsewhere. As the marginal propensity to spend on food cereal is higher in the rest of the world than in the European Union, the decline in terms of trade might even offset the income effect of development aid. European Simulation Model (ESIM) is the Partial Equilibrium (PE) model designed to examine the effect of shocks on the EU agricultural market, but the impact of potential changes at farm level cannot be highlighted by PE models. In fact, producers always faced decisions concerning the allocation of their limited resources in various components of the farming systems. They sought for alternative cropping systems that optimize the existing and underutilize land to contribute to the EU2030 objectives. A weak association of animal breeding to crop production can increase the carbon emission of farming activities, undermine the positive reserve of ecological focus areas and thereby cancel the GHG mitigation effect of biogas production. The irrational use of biogas production residues as a valuable fertilizer may accelerate the eutrophication of lakes. ESIM model does not depict structural and technological changes that are occurring with the introduction of new technologies (in particular those for lignocellulosic and woody biomass, microalgae and edible insects) and that have the potential by enabling biomethane production and provision of high quality nutritional proteins for relaxing the global biomass demand. It does consider neither GHG emissions associated with the production of biomass and its use for energy nor emissions caused indirectly through increased imports of agricultural commodities. ESIM model does not examine the mandatory reduction targets of the non-ETS energy sector that may have strong effects on biomass demand and therefore affect the entire agricultural sector. GHG emission mitigation policies enacted simultaneously by other economies are not depicted in ESIM model, but still they might amplify price effects. The model does not include in the analysis important sectors that are closely linked to the biomass demand, such as fossil energy sectors and fossil-based energy demand. In this perspective, the government support systems, which mainly concentrate on the biogas production, appeared to be economically and environmentally inefficient, if the energy transition, food security and CO2 emission reduction are the overall objective. Of particular interest is to extend the modelling system to cover innovative technologies related to biomass supply and initiate difference in model system in order to derive conclusion on global food security and welfare and indirect global land use change including GHG emissions effects. Although the interface between global crop market model, regional economic farm emission model and lifecycle assessment results helps to draw environmental as well as economic statements on the shifting effects of changing demand for certain agricultural products, the resulting modelling system ignores the underlying causes of environmental degradation. In fact, the statements on long-term biogas demand effects on global food security and welfare cannot be made only from the fact of rising food prices. The relationship between food prices on world markets and household food security is complex and the impacts on both the economy and household level may differ by country. Higher world market prices for food decrease the foreign trade balance of net food-importing countries, but increase it for net food – exporting countries. Increasing food prices negatively affect the income of net food buying households, whereas net food selling ones are positively affected. Further, higher
  • 3. 2 world market prices of major crops increase foreign direct investments and induce different forms of contract farming and vertical coordination since smallholder farmers are not equipped to compete in a globalized market. As a result, the role of supplying farmers changes from independent farmers, to contracted-farmers, quasi farmers and to farmer workers which may have important welfare implications. Thus, the effectiveness of biogas production depends on new sense of global partnership in which people and countries understand that their fates are linked, sectors previously seen as domestic have become international and that a good international formula is for national interest. This insight imposes to marry international perspectives with regional, national and local perspectives. EU biogas strategy should align the multi-region, multi-sector computable general equilibrium (CGE) model for climate policy analysis that provides both a unifying framework for combining technological details of bottom-up models and large-scale richness of top-down model and a structure for establishing and sharing responsibilities among regions and even across sectors. Computable General Equilibrium (CGE) model is the analytical tool designed to examine and derive computationally the impacts of policies or shocks in the entire economy, but the impact of land use change, trade differentiation and climate and energy policies cannot be highlighted by standard CGE models. In fact, standard CGE model does not consider carbon emissions (CO2) and market emissions permits and allowances. Usually technical progress is exogenous in the standard CGE model, and yet technological progress can raise total factor productivity or productivity of certain input factor like labour or energy. Standard CGE model neither divides output into exports and domestic supply nor splits consumption into a constant (subsistence level) and variable part. It is not suitable for handling decision making problem since it is conceived with the aim of finding the equilibrium of a system. Although individual optimizing behaviour and decisions of consumers and firms are embedded in functions describing the agents’ choices in response to the values of variables facing them, there is no clear objective functions to optimize. In standard CGE model, the economy is producing on its production possibility frontier. As all factors are maximized, factor market balance and condition of profit maximization are held and no resources are left over. Though, an equilibrium may involve for many economic problems some goods not being used and therefore some resources left over or some possible trade links not being actively used. These shortcomings hinder any initiatives related to the monitoring of the expansion of biogas in the EU so as to handle the effect on food security, environment and global welfare. Keeping track of the expansion of biogas in the context of uncertainties requires tools and instruments for predicting and assessing alternative futures and pathways to achieve the desired future. Scenarios and integrative assessment models are combined to develop decision tools that enable policy makers to monitor the evolution of biogas production, ensure its sustainability and to assign support based on proper understanding of risks. Circularity and lifecycle assessment software, corporate sustainability software solution and green building software enable stakeholders to improve the environmental performance of products and services through the reduction of scope 1, 2 and 3 emissions and to generate ecological spaces necessary for offsetting irreducible GHG emissions. Having combined material circularity indicators, lifecycle assessment results and multifunctional agriculture assessment results into one index and then integrated that index in farm model, the internet-based and user-friendly software enables farmers to self-control their practices so as to optimize their economic goals while minimizing the impact of the activities on the environment and global food security.
  • 4. 3 Although decision tools enable stakeholders to monitor the sustainability of biogas production from agricultural resources, they circumvent the real problem related to population growth and its strains on limited resources. They do neither enable stakeholders to fully decouple pressures on natural resources and environmental impacts from economic growth nor allow them to really address major societal challenges such as climate change, food insecurity and poverty and therefore need to be complemented with future agricultural and energy production systems. Given that carbon sequestration potential, soil carbon content and biodiversity characteristics vary from one ecosystem or ecological focus area to another, the greening instruments as currently implemented are unlikely to significantly enhance the CAP’s environmental and climate performances. They are based on obligations of means but not results. They are set neither to put stakeholders on the path to really achieve clear and sufficiently ambitious environmental targets nor to give EU authorities the possibility to ensure fairer distribution of direct payments. Carbon farming is the smart approach for decoupling direct payments from crop areas to soil carbon contents. Carbon farming solves the classic free-rider problems associated to environmentally friendly purchasing since it enables consumers to reward through price premium the real effort for environmental protection. Edible insects, microalgae, lignocellulosic and woody biomass and bacteria are used to form a new pillar of food and energy system that is decoupled from both agriculture and fossil fuels. While insects can be grown on organic wastes reducing environmental contamination, algae cultivation may be used for digestates and agricultural wastewaters treatment for the production of food, feed, biofertilizers and methane and greenhouse gas credits. Bacteria can digest carbon dioxide to produce feed protein for aquaculture. More practically, microalgal biomethane production integrated with existing biogas plant improves the value of digestates to farmers, diversifies incomes through the development of microalgae-based products and solve the eutrophication potential of biogas by- products. Biomethane obtained through biomass thermochemical conversion belongs to the category of second generation biofuels which in contrast to first generation does not enter in direct competition with crop for food and fodder. With the integration of food and non-food activities on the same land parcels, cascade use of biomass is the smart way to use natural resources and minimize the competition between food and non-food use of organic matter. Biorefinery fed of agricultural biomass and wood allows the designing of the future factory that produces plant-based proteins, chemicals, omega fatty acids, bioplastics and biofuels. While biofuels play a significant role in regard to carbon emission reduction in the transportation sector, plant-based proteins are contributing to solve livestock crisis. Biomass residues processing to value added chemical building blocks for biobased products improve material efficiency measures for green buildings. New infrastructure investments are needed to ensure the sustainability of biogas production in the European Union and to make infrastructure contributing to the reduction of greenhouse gas emissions, improving footprint of products and services and more resilient to the effect of climate change. However, high-capital and technology-intensive investments are exposed to financial and operating risks that private companies and farmers are unaccustomed to dealing with, managing and mitigating and do not want to expose their own balance-sheets directly to those risks. Handling this situation requires raising money in a special purpose vehicle that has no recourse or very limited recourse to farmers or private companies. Cascading approach for unlocking investment opportunities is deployed to mobilize and crowd public and private funds to finance infrastructure, make the risks to investor’s balance-sheets quite remote and therefore to ensure the transformational shift towards sustainable biogas production in the European Union.