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Content uploaded by Tommaso Ferrucci
Author content
All content in this area was uploaded by Tommaso Ferrucci on Jul 05, 2023
Content may be subject to copyright.
Coupling Water Energy Food Nexus and
multi-year microgrid planning
Davide Fioriti, Tommaso Ferrucci, Davide Poli
University of Pisa
Carlo Tacconelli, Valeria Gambino, Francesco Roncallo, Paolo Cherubini
EnGreen
Davide Fioriti 1
The University of Pisa was partially supported by the SETADISMA project that is part of
the LEAP-RE programme. LEAP-RE has received funding from the European Union’s
Horizon 2020 Research and Innovation Program under Grant Agreement 963530.
4th Int. Conference on Solar Technologies & Hybrid Mini Grids to improve energy access – Mallorca, Spain 26-28 April
Water Energy Food (WEF) nexus
Davide Fioriti 2
FAO. The water-energy-food nexus: A new approach in support of food security and sustainable agriculture. Rome The Food and Agricultural Organisation of
the United Nations, 2014.
Standard vs WEF approaches
Davide Fioriti 3
The standard electricity operator The WEF operator
Aresti, M., et al. "RE-Thinking Access to Energy Business Models: Ways to Walk the Water-Energy-Food Nexus Talk in Sub-Saharan Africa." Res4Africa Foundation: Rome, Italy
(2019).
Standard vs WEF approaches
Davide Fioriti 4
The standard microgrid operator The WEF operator
Aresti, M., et al. "RE-Thinking Access to Energy Business Models: Ways to Walk the Water-Energy-Food Nexus Talk in Sub-Saharan Africa." Res4Africa Foundation: Rome, Italy
(2019).
•Easier (Business-as-usual)
•Lower upfront costs
•Lower local impact
•Uncertain demand uptake
•Complex (+agribusiness player)
•Higher upfront costs
•Higher local impact
•More controllable demand uptake
+
+
+
+
-
-
-
-
Planning tools for WEF approaches
Davide Fioriti 5
•High investment costs
•Long-term investments
•Uncertainties
•Multiple income/cost sources
Need for stochastic
multi-year planning tools
Multi-year vs single-year simulations
Davide Fioriti 6
Initial design
Demand (kWh)
1-year simulation
(standard approach)
Davide Fioriti, Davide Poli, Pablo Duenas-Martinez, Ignacio Perez-Arriaga, Multi-year stochastic planning of off-grid microgrids subject to significant load growth uncertainty:
overcoming single-year methodologies, Electric Power Systems Research, Volume 194, 2021, https://doi.org/10.1016/j.epsr.2021.107053
Multi-year vs single-year simulations
Davide Fioriti 7
Initial design
Multi-year simulation
Demand (kWh)
1-year simulation
(standard approach)
Upgrade
Davide Fioriti, Davide Poli, Pablo Duenas-Martinez, Ignacio Perez-Arriaga, Multi-year stochastic planning of off-grid microgrids subject to significant load growth uncertainty:
overcoming single-year methodologies, Electric Power Systems Research, Volume 194, 2021, https://doi.org/10.1016/j.epsr.2021.107053
Multi-year vs single-year simulations
Davide Fioriti 8
Initial design
Multi-year simulation
Demand (kWh)
1-year simulation
(standard approach)
Upgrades
+ Uncertainties
Davide Fioriti, Davide Poli, Pablo Duenas-Martinez, Ignacio Perez-Arriaga, Multi-year stochastic planning of off-grid microgrids subject to significant load growth uncertainty:
overcoming single-year methodologies, Electric Power Systems Research, Volume 194, 2021, https://doi.org/10.1016/j.epsr.2021.107053
Multi-year vs single-year simulations
Davide Fioriti 9
Davide Fioriti, Davide Poli, Pablo Duenas-Martinez, Ignacio Perez-Arriaga, Multi-year stochastic planning of off-grid microgrids subject to significant load growth uncertainty:
overcoming single-year methodologies, Electric Power Systems Research, Volume 194, 2021, https://doi.org/10.1016/j.epsr.2021.107053
Benefits of multi-year simulations:
•Realistic simulation of the multi-year lifetime of the system
•Assets and storage degradation
•Account for upgrades on the system
•Accounting for uncertainties in the load growth
The system
Davide Fioriti 10
The local generation The network
Images by Matteo Ceccarelli, University of Pisa
The modelling system
Davide Fioriti 11
Multi-Year Stochastic planning
for microgrid
Multi-Year Planning
of networked microgrid
•Multi-year stochastic studies
•Effect of operating strategy
(predictive, load following, …)
•Scalable open-source tools
•Address multi-microgrid conditions
•Multi-year models (soon stochastic)
Multiobjective goals
Davide Fioriti 12
Trade-off between economic indicators
Trade-off between non-economic indicators
Davide Fioriti, et al, Coupling economic multi-objective optimization and multiple design options: A business-oriented approach to size an off-grid hybrid microgrid, International Journal of Electrical Power & Energy
Systems, Volume 127, 2021, https://doi.org/10.1016/j.ijepes.2020.106686
Davide Fioriti, Davide Poli, Pablo Duenas-Martinez, Andrea Micangeli, Multiple design options for sizing off-grid microgrids: A novel single-objective approach to support multi-criteria decision making, Sustainable
Energy, Grids and Networks, Volume 30, 2022, https://doi.org/10.1016/j.segan.2022.100644
Example of results
Davide Fioriti 13
0
200
400
600
800
1000
1200
Multi-year
stochastic
Multi-year
deterministic
Single-year
CAPEX [k$]
CAPEX
900
950
1000
1050
1100
1150
1200
Multi-year
stochastic
Multi-year
deterministic
Single-year
NPC [k$]
Net Present Cost
-20% NPC
-50% CAPEX
Davide Fioriti, Davide Poli, Pablo Duenas-Martinez, Ignacio Perez-Arriaga, Multi-year stochastic planning of off-grid microgrids subject to significant load growth uncertainty:
overcoming single-year methodologies, Electric Power Systems Research, Volume 194, 2021, https://doi.org/10.1016/j.epsr.2021.107053
Synergies with WEF
Davide Fioriti 14
•Capture the multi-year dynamics of WEF
•WEF affect resources and uncertainty estimation
•More resilient and accurate investment evaluations
EnGreen Experience
Tommaso Ferrucci 15
EnGreen Experience
Tommaso Ferrucci 16
Aresti, M., et al. "RE-Thinking Access to Energy Business Models: Ways to Walk the Water-Energy-Food Nexus Talk in Sub-Saharan Africa." Res4Africa Foundation: Rome, Italy
(2019).
Thank you
Davide Fioriti 17
Davide Fioriti, Tommaso Ferrucci
DESTEC, University of Pisa
Largo Lucio Lazzarino, 1
Pisa (PI), Italy
davide.fioriti@unipi.it
The University of Pisa was partially supported by the SETADISMA project that is part of
the LEAP-RE programme. LEAP-RE has received funding from the European Union’s
Horizon 2020 Research and Innovation Program under Grant Agreement 963530.
https://www.engreensolutions.com/
info@engreensolutions.com