BlueBRIDGE receives funding from the European Union’s Horizon 2020
research and innovation programme under grant agreement No. 675680 www.bluebridge-vres.eu
Gerasimos Antzoulatos, i2S (gantzoulatos@i2s.gr)
Charalampos Dimitrakopoulos, CITE (bdimitrako@cite.gr)
Panagiota Koltsida, University of Athens (p.koltsida@di.uoa.gr)
Wednesday, 22 November 2017
BLUE ECONOMY:NEW GENERATION TOOLS
FOR AQUACULTURE
Outline
2
Introduction to BlueBRIDGE & VREs
Challenges in Aquaculture and BlueBRIDGE solution
Blue Economy
Performance evaluation, benchmarking and decision making in
aquaculture VRE
Strategic Investment analysis and Scientific Planning/Alerting VRE
Geoanalytics Platform
Benefits of the community
22/11/2017 Webinar 2017
The BlueBRIDGE Project – Building Research environments
fostering Innovation, Decision making, Governance and
Education for Blue Growth
3
Tailored services addressing three heterogeneous domain
One common infrastructure
22/11/2017 Webinar 2017
• Aquaculture is one of the
biggest food producing
sectors providing over 50%
of the world’s fish
consumption.
• Aquaculture’s share in global
supply forecast to increase
continuously to the point
where capture fisheries and
aquaculture will be
contributing equal amounts
by 2030.
4
Blue Economy
Outlook of aquaculture sector
22/11/2017 Webinar 2017
Challenges that have to be addressed:
•maintaining the economic viability of the sector by
reducing costs and increasing production
•guaranteeing high quality food and animal welfare
•addressing environmental concerns.
All aquaculture producers are concerned on how to improve the
performance of their companies in terms of cost, feed
conversion, growth rate and mortality and at the same time, be
sustainable and environmental friendly
5
Blue Economy
Challenges
22/11/2017 Webinar 2017
Provide innovative data services that will benefit all the
stakeholders of the aquaculture sector. The aim is to support:
•Companies to maximize the growth rate, reduce costs and
minimize the impact on the environment
•Investors to make efficient identification of strategic locations
of interest and select the most profitable investments
•Governments and environmental agencies to evaluate the
current situation and define policies
•Researchers to generate new knowledge and evaluate the
practical indicators of aquafarming performance
6
Blue Economy
BlueBRIDGE Solution
22/11/2017 Webinar 2017
7
Blue Economy
Performance Evaluation, Benchmarking &
Decision Making
Goal:
Estimate/create KPIs Tables (biol. FCR, SFR,
Mortality Rate) based on historical data using
Machine Learning Techniques
Define a Site:
•location
•temperature
profile
Setup Site
Performance Evaluation
Estimate KPIs:
•Collect data
•Upload data
•Generate
models
Setup Model
Benchmarking & Decision Making
Goals:
•Create accurate and feasible production plans
•Benchmark the performance against the
competition
Perform production
planning by:
•Create scenarios
•Assess the KPIs
•Benchmarking
What-If Analysis
Decision
22/11/2017 Webinar 2017
Case Study:
Sites Evaluation
8
How to
evaluate the
performance
of my existing
sites?
22/11/2017 Webinar 2017
Define each site
(Setup Site)
1
Create a production
model for each site
(Setup Model)
2
Create a hypothetical
scenario for each site
(What-If)
3
Evaluate results:
•Production KPIs
•Benchmarking
4
9
Blue Economy
Performance Evaluation, Benchmarking &
Decision Making
22/11/2017 Webinar 2017
Setup Site
10
Blue Economy
Performance Evaluation, Benchmarking &
Decision Making
22/11/2017 Webinar 2017
Setup Model
11
Blue Economy
Performance Evaluation, Benchmarking &
Decision Making
What-If Analysis
22/11/2017 Webinar 2017
12
Blue Economy
Performance Evaluation, Benchmarking &
Decision Making
What-If Analysis - Results
22/11/2017 Webinar 2017
Blue Economy
Techno Economic Model
1322/11/2017 Webinar 2017
Can we evaluate
the economic
performance of
my sites?
Techno economic model’s aim is to:
•Provide economic & financial metrics
•Aid in the decision procedure of developing and operating an
aqua farm
•Utilize the results from production model tool (opt.)
Blue Economy
Techno Economic Model
14
Aqua farm
Definition
Aqua farm
Definition
SpeciesSpecies
CagesCages
NetsNets AnchorsAnchors
Off-ShoreOff-Shore
Techno Economic
Model
Techno Economic
Model
Technology
Definition
Technology
Definition
End of LifeEnd of Life
Shop. ListShop. List
IndicatorsIndicators
IRRIRR
NPVNPV
YNPMYNPMEBIATEBIAT
EBITDAEBITDA
Economics
Definition
Economics
Definition
Product MixProduct Mix
PricePrice
Cost
Breakdown
Cost
Breakdown
Socio
Environmental
Impact
Socio
Environmental
Impact
22/11/2017 Webinar 2017
Aim
• Conceptualize and monetize the social and environmental
impact of aquaculture
• Combine social and environmental impact with specific
techno-economic and production models of blue economy
• Consider data and computational resources at reach
• Distinguish between private and social costs and benefits
and
• Incorporate social costs and benefits in private functions
15
Blue Economy
Social and Environmental
Monetization Models
22/11/2017 Webinar 2017
16
Blue Economy
Techno Economic Model
22/11/2017 Webinar 2017
1722/11/2017 Webinar 2017
The Challenge
Our Approach:
The Geoanalytics Platform
• An open, spatial planning platform to support
intelligent identification of areas to suit various needs
Geoanalytics Platform
22/11/2017 Webinar 2017 18
Benefits
• Scalable, high performant, open source, collaborative
geospatial analysis tool
• Offers visualization and management of geospatial
information
• Supports various needs/scenarios through the
extensibility capabilities/plugin system
• Interoperable system - implements open standards
and protocols
• Enhances collaboration through project sharing
facilities
22/11/2017 Webinar 2017 19
Geoanalytics Platform
The Aquaculture Case
• Perform spatial analysis for a specific area to
predict the production in terms of KPIs such as
biomass of an aquaculture site based on
environmental and global historical production
data.
22/11/2017 Webinar 2017 20
22/11/2017 Webinar 2017 21
Geoanalytics Platform-
The Tool
• Administration User Interface for:
• Importing new data
• Uploading algorithms for execution
• Managing the available geospatial layers
22/11/2017 Webinar 2017 22
22/11/2017 Webinar 2017 23
22/11/2017 Webinar 2017 24
• End-User Interface for:
• Analysis execution and results view
• Geospatial layers visualization
• Users’ collaboration on the investment analysis
through project facilities
22/11/2017 Webinar 2017 25
Geoanalytics Platform-
The Tool
22/11/2017 Webinar 2017 26
• Variety of services/tools provided by Blue Economy to Aquaculture sector:
 Production models to assess performance
 Techno-Economic analysis
 Spatial Investment Analysis for aquaculture sites
• Seamless access to heterogeneous datasets
• Cooperative training environments through dedicated VREs
27
Blue Economy
Benefits of the community
Increase productivity
& profitability of aqua-
farms
22/11/2017 Webinar 2017
Exploit our Tools
• Through dedicated VREs for common training
activities
https://bluebridge.d4science.org/web/aquaculturetraininglab
• The Geoanalytics platform through the SIASPA
VRE
https://bluebridge.d4science.org/web/siaspa
• Explore the BlueBRIDGE Gateway
https://bluebridge.d4science.org/explore
22/11/2017 Webinar 2017 28
Thank you for your attention!!!
We will be happy to hear from you!
If you have any comments, ideas or you would like to be involved in BlueBRIDGE,
please send us an email or visit our web portal
http://www.bluebridge-vres.eu/
2922/11/2017 Webinar 2017

Blue Economy: New Generation Tools for Aquaculture

  • 1.
    BlueBRIDGE receives fundingfrom the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 675680 www.bluebridge-vres.eu Gerasimos Antzoulatos, i2S (gantzoulatos@i2s.gr) Charalampos Dimitrakopoulos, CITE (bdimitrako@cite.gr) Panagiota Koltsida, University of Athens (p.koltsida@di.uoa.gr) Wednesday, 22 November 2017 BLUE ECONOMY:NEW GENERATION TOOLS FOR AQUACULTURE
  • 2.
    Outline 2 Introduction to BlueBRIDGE& VREs Challenges in Aquaculture and BlueBRIDGE solution Blue Economy Performance evaluation, benchmarking and decision making in aquaculture VRE Strategic Investment analysis and Scientific Planning/Alerting VRE Geoanalytics Platform Benefits of the community 22/11/2017 Webinar 2017
  • 3.
    The BlueBRIDGE Project– Building Research environments fostering Innovation, Decision making, Governance and Education for Blue Growth 3 Tailored services addressing three heterogeneous domain One common infrastructure 22/11/2017 Webinar 2017
  • 4.
    • Aquaculture isone of the biggest food producing sectors providing over 50% of the world’s fish consumption. • Aquaculture’s share in global supply forecast to increase continuously to the point where capture fisheries and aquaculture will be contributing equal amounts by 2030. 4 Blue Economy Outlook of aquaculture sector 22/11/2017 Webinar 2017
  • 5.
    Challenges that haveto be addressed: •maintaining the economic viability of the sector by reducing costs and increasing production •guaranteeing high quality food and animal welfare •addressing environmental concerns. All aquaculture producers are concerned on how to improve the performance of their companies in terms of cost, feed conversion, growth rate and mortality and at the same time, be sustainable and environmental friendly 5 Blue Economy Challenges 22/11/2017 Webinar 2017
  • 6.
    Provide innovative dataservices that will benefit all the stakeholders of the aquaculture sector. The aim is to support: •Companies to maximize the growth rate, reduce costs and minimize the impact on the environment •Investors to make efficient identification of strategic locations of interest and select the most profitable investments •Governments and environmental agencies to evaluate the current situation and define policies •Researchers to generate new knowledge and evaluate the practical indicators of aquafarming performance 6 Blue Economy BlueBRIDGE Solution 22/11/2017 Webinar 2017
  • 7.
    7 Blue Economy Performance Evaluation,Benchmarking & Decision Making Goal: Estimate/create KPIs Tables (biol. FCR, SFR, Mortality Rate) based on historical data using Machine Learning Techniques Define a Site: •location •temperature profile Setup Site Performance Evaluation Estimate KPIs: •Collect data •Upload data •Generate models Setup Model Benchmarking & Decision Making Goals: •Create accurate and feasible production plans •Benchmark the performance against the competition Perform production planning by: •Create scenarios •Assess the KPIs •Benchmarking What-If Analysis Decision 22/11/2017 Webinar 2017
  • 8.
    Case Study: Sites Evaluation 8 Howto evaluate the performance of my existing sites? 22/11/2017 Webinar 2017 Define each site (Setup Site) 1 Create a production model for each site (Setup Model) 2 Create a hypothetical scenario for each site (What-If) 3 Evaluate results: •Production KPIs •Benchmarking 4
  • 9.
    9 Blue Economy Performance Evaluation,Benchmarking & Decision Making 22/11/2017 Webinar 2017 Setup Site
  • 10.
    10 Blue Economy Performance Evaluation,Benchmarking & Decision Making 22/11/2017 Webinar 2017 Setup Model
  • 11.
    11 Blue Economy Performance Evaluation,Benchmarking & Decision Making What-If Analysis 22/11/2017 Webinar 2017
  • 12.
    12 Blue Economy Performance Evaluation,Benchmarking & Decision Making What-If Analysis - Results 22/11/2017 Webinar 2017
  • 13.
    Blue Economy Techno EconomicModel 1322/11/2017 Webinar 2017 Can we evaluate the economic performance of my sites? Techno economic model’s aim is to: •Provide economic & financial metrics •Aid in the decision procedure of developing and operating an aqua farm •Utilize the results from production model tool (opt.)
  • 14.
    Blue Economy Techno EconomicModel 14 Aqua farm Definition Aqua farm Definition SpeciesSpecies CagesCages NetsNets AnchorsAnchors Off-ShoreOff-Shore Techno Economic Model Techno Economic Model Technology Definition Technology Definition End of LifeEnd of Life Shop. ListShop. List IndicatorsIndicators IRRIRR NPVNPV YNPMYNPMEBIATEBIAT EBITDAEBITDA Economics Definition Economics Definition Product MixProduct Mix PricePrice Cost Breakdown Cost Breakdown Socio Environmental Impact Socio Environmental Impact 22/11/2017 Webinar 2017
  • 15.
    Aim • Conceptualize andmonetize the social and environmental impact of aquaculture • Combine social and environmental impact with specific techno-economic and production models of blue economy • Consider data and computational resources at reach • Distinguish between private and social costs and benefits and • Incorporate social costs and benefits in private functions 15 Blue Economy Social and Environmental Monetization Models 22/11/2017 Webinar 2017
  • 16.
    16 Blue Economy Techno EconomicModel 22/11/2017 Webinar 2017
  • 17.
  • 18.
    Our Approach: The GeoanalyticsPlatform • An open, spatial planning platform to support intelligent identification of areas to suit various needs Geoanalytics Platform 22/11/2017 Webinar 2017 18
  • 19.
    Benefits • Scalable, highperformant, open source, collaborative geospatial analysis tool • Offers visualization and management of geospatial information • Supports various needs/scenarios through the extensibility capabilities/plugin system • Interoperable system - implements open standards and protocols • Enhances collaboration through project sharing facilities 22/11/2017 Webinar 2017 19
  • 20.
    Geoanalytics Platform The AquacultureCase • Perform spatial analysis for a specific area to predict the production in terms of KPIs such as biomass of an aquaculture site based on environmental and global historical production data. 22/11/2017 Webinar 2017 20
  • 21.
  • 22.
    Geoanalytics Platform- The Tool •Administration User Interface for: • Importing new data • Uploading algorithms for execution • Managing the available geospatial layers 22/11/2017 Webinar 2017 22
  • 23.
  • 24.
  • 25.
    • End-User Interfacefor: • Analysis execution and results view • Geospatial layers visualization • Users’ collaboration on the investment analysis through project facilities 22/11/2017 Webinar 2017 25 Geoanalytics Platform- The Tool
  • 26.
  • 27.
    • Variety ofservices/tools provided by Blue Economy to Aquaculture sector:  Production models to assess performance  Techno-Economic analysis  Spatial Investment Analysis for aquaculture sites • Seamless access to heterogeneous datasets • Cooperative training environments through dedicated VREs 27 Blue Economy Benefits of the community Increase productivity & profitability of aqua- farms 22/11/2017 Webinar 2017
  • 28.
    Exploit our Tools •Through dedicated VREs for common training activities https://bluebridge.d4science.org/web/aquaculturetraininglab • The Geoanalytics platform through the SIASPA VRE https://bluebridge.d4science.org/web/siaspa • Explore the BlueBRIDGE Gateway https://bluebridge.d4science.org/explore 22/11/2017 Webinar 2017 28
  • 29.
    Thank you foryour attention!!! We will be happy to hear from you! If you have any comments, ideas or you would like to be involved in BlueBRIDGE, please send us an email or visit our web portal http://www.bluebridge-vres.eu/ 2922/11/2017 Webinar 2017