AARHUS UNIVERSITY Figaro 20 -22 January 2015 Rome

AARHUS UNIVERSITY Figaro 20 -22 January, 2015 Rome Figaro WP 3 results Second reporting period Input from WP 3 partners, presented by WP 3 partners Second yearly meeting Jan. 2015, FAO, Rome, Italy p. RÆSEN TATION

AARHUS UNIVERSITY Figaro WP 3 leader AU Rome 20 -22 Jan. 2015 WP 3 Objectives Develop interfaces, customize and deliver a range of models, optimization and simulation tools for soil, plant, weather and network hydraulics tailored to receive and assimilate the data stream provided by the new sensors and platform (WP 2, WP 4, WP 6), and finally report their outputs to the DSS engine. Develop a modular DSS engine that can be coupled to the platform (WP 2, WP 6) which will receive its input from the simulation and optimization models and provide the platform with data for further analysis

AARHUS UNIVERSITY Figaro WP 3 leader AU Rome 20 -22 Jan. 2015 WP 3 tasks, milestones and deliverables T 3. 1 (M 3 -M 12) definitions of modeling, data and work flows - Finn T 3. 2 (M 3 -M 15) plugins - Adelio T 3. 3 (M 3 -M 24) Meteorological data, models and forecasting – Slavco, Tom T 3. 4 (M 3 -M 24) Hydraulic modeling and delivery optimization - Fernando T 3. 5 (M 3 -M 24) energy and costs simulation and optimization - Adelio T 3. 6 (M 3 -M 24) dynamic crop growth simulation optimization – Finn T 3. 6 Aqua. Crop updates – Dirk and model optimization Rafi T 3. 7 (M 3 -M 32) Online quality control of data and predictions - Finn T 3. 8 (M 12 -M 36) DSS engine development - Finn MS 3. 1 Interfaces for models written and ready for use with sensors and sources of data (M 12) D 3. 1 Design of data and models plugins (M 15) 3

AARHUS UNIVERSITY Figaro WP 3 leader AU Rome 20 -22 Jan. 2015 WP 3 tasks, milestones and deliverables T 3. 1 (M 3 -M 12) definitions of modeling, Done data and work flows - Finn T 3. 2 (M 3 -M 15) plugins - Adelio T 3. 3 (M 3 -M 24) Meteorological data, models and forecasting – Slavco, Tom T 3. 4 (M 3 -M 24) Hydraulic modeling and delivery optimization - Fernando T 3. 5 (M 3 -M 24) energy and costs simulation and optimization - Adelio T 3. 6 (M 3 -M 24) dynamic crop growth simulation optimization – Finn T 3. 6 Aqua. Crop updates – Dirk and model optimization Rafi T 3. 7 (M 3 -M 32) Online quality control of data and predictions - Finn T 3. 8 (M 12 -M 36) DSS engine development - Finn MS 3. 1 Interfaces for models written and Done ready for use with sensors and sources of data (M 12) D 3. 1 Design of data and models plugins Done (M 15) 4

AARHUS UNIVERSITY Figaro WP 3 leader AU Rome 20 -22 Jan. 2015 WP 3 results in the second reporting period T 3. 3 (M 3 -M 24) Meteorological data, models and forecasting – Slavco, Tom and ? Give some few slides T 3. 4 (M 3 -M 24) Hydraulic modeling and delivery optimization – Fernando Give some few slides T 3. 5 (M 3 -M 24) Energy and costs simulation and optimization – Adelio and ? Give some few slides T 3. 6 (M 3 -M 24) dynamic crop growth simulation optimization, Aqua. Crop and other models – Finn, Adriano, George, Pedro, Rafi Give some few slides 5

AARHUS UNIVERSITY Figaro WP 3 leader AU Rome 20 -22 Jan. 2015 WP 3 Task 3. 3 – results on meteorological data, models and forecasting Give some few slides 6

AARHUS UNIVERSITY Figaro WP 3 leader AU Rome 20 -22 Jan. 2015 WP 3 Task 3. 4 – results on hydraulic modelling and delivery optimization Give some few slides 7

AARHUS UNIVERSITY Figaro WP 3 leader AU Rome 20 -22 Jan. 2015 WP 3 Task 3. 5 – results on energy and costs simulation and optimization Give some few slides 8

AARHUS UNIVERSITY Figaro WP 3 leader AU Rome 20 -22 Jan. 2015 T 3. 5 Energy and costs simulation and optimization Energy optimization is the result of the adoption of a number of procedures such as: Pumps efficiency control Reducing leaks and promoting the use of smart grids in order to deliver only the necessary amount of water (should be the main focus of FIGARO) Adoption of proper costs policies Redefinition of the water paths and hydraulic controls in the distribution network in order to reduce the necessary pumping effort (mostly effective in grid networks) 9

AARHUS UNIVERSITY Figaro WP 3 leader AU Rome 20 -22 Jan. 2015 T 3. 5 Energy and costs simulation and optimization Hidromod has been working mostly in water leakage control, pumping efficiency and adoption of proper network controls derived from data mining and modelling In FIGARO these procedures are to be tested in Valencia. The goal is to include the Valencia EPANET model, the data collected by the SCADA system and the optimization algorithms being developed within the project in FIGARO Platform This task is however delayed. Hidromod has been working in generic procedures for pumping optimization and leakage control but the work for integration of EPANET have just started now. Even so it will be necessary to figure how these results will be integrated in the Platform (a discussion to be held in the framework of FIGARO Platform v 1) 10

AARHUS UNIVERSITY Figaro WP 3 leader AU Rome 20 -22 Jan. 2015 T 3. 5 Energy and costs simulation and optimization Pump efficiency monitoring Leakage detection OPC server AQUASAFE OPC-Connector AQUASAFE Demand forecast AQUASAFE Data flow management Leak flow Chart Leak Alarm Table Create Leak Report

AARHUS UNIVERSITY Figaro WP 3 leader AU Rome 20 -22 Jan. 2015 WP 3 Task 3. 6 – results on modelling and optimization Finn, Adriano, George, Pedro, Rafi 12

AARHUS UNIVERSITY Figaro WP 3 leader AU Rome 20 -22 Jan. 2015 WP 3 Task 3. 6 – results on modelling and optimization in Denmark Aqua. Crop 13

AARHUS UNIVERSITY Figaro WP 3 leader AU Rome 20 -22 Jan. 2015 WP 3 Task 3. 6 – results on modelling and optimization in Denmark Aqua. Crop 14

AARHUS UNIVERSITY Figaro WP 3 leader AU Rome 20 -22 Jan. 2015 WP 3 Task 3. 6 – results on modelling and optimization in Denmark Daisy 15

AARHUS UNIVERSITY General Precision Agriculture: I Figaro potato data in Denmark simulated with Daisy New experiment with drip irrigated and N fertigated potato in 2013. Fully randomized experiment (four replicates) in a coarse sand at Jyndevad Simulated with Daisy based on one set of C/N and hydraulic parameters Treatments: I 0 N 0 : I 0 N 3 : I 1 N 0 : I 1 N 3 : Idaisy. Ndaisy : No irrigation No nitrogen No irrigation, 140 kg N/ha Full irrigation, No nitrogen Full irrigation, 140 kg N/ha Full irrigation, 100 kg N/ha Irrigation and N fertigation guided by Daisy What caused the observed variation? ? Spatial variation in hydraulic and C/N parameters? ? 16

AARHUS UNIVERSITY Figaro WP 3 leader AU Rome 20 -22 Jan. 2015 WP 3 Task 3. 6 – results on modelling and optimization in Italy Aqua. Crop and ? Give some few slides 17

AARHUS UNIVERSITY Figaro WP 3 leader AU Rome 20 -22 Jan. 2015 WP 3 Task 3. 6 – results on modelling and optimization in Portugal Aqua. Crop Mohid land/SVAT Give some few slides 18

AARHUS UNIVERSITY 1 D Scale Figaro WP 3 leader AU Rome 20 -22 Jan. 2015 Soil moisture calibration Sprinkler irrigation system Irrigation applied: 365 mm Monitoring 2 plots in 4 locations Crop: Maize Models used: Aqua. Crop and 1 D MOHID Mohid vs Obs. AQ vs. Obs. r 0. 82 0. 95 R 2 0. 67 0. 90 RMSE 7. 03 11. 63 NRMSE 0. 04 0. 06 ME 0. 61 0. 69 W 0. 89 0. 88 19

AARHUS UNIVERSITY Figaro WP 3 leader AU Rome 20 -22 Jan. 2015 1 D Scale Plant growth calibration Mohid AQ r 0. 99 R 2 0. 98 RMSE 4. 61 NRMSE 6. 19 ME 0. 98 W 0. 98 0. 99 0. 98 4. 6 6. 1 0. 98 1. 00 Mohid AQ r 0. 99 R 2 0. 98 RMSE 2. 51 NRMSE 0. 19 ME 0. 96 W 0. 98 0. 97 0. 94 3. 2 20. 6 0. 94 0. 99 20

AARHUS UNIVERSITY Sub plot Scale Figaro WP 3 leader AU Rome 20 -22 Jan. 2015 Impact of spatial variability of irrigation on soil moisture m 3/m 3 The variation was caused by uneven water distribution Christiansen uniformity coef. of 71% The irrigation varied between 116 – 697 mm The model used for the 3 D simulation is 21 MOHID

AARHUS UNIVERSITY Field Scale Figaro WP 3 leader AU Rome 20 -22 Jan. 2015 Impact of plant growth variability on biomass 22

AARHUS UNIVERSITY Figaro WP 3 leader AU Rome 20 -22 Jan. 2015 WP 3 Task 3. 6 – results on modelling and optimization in Greece Aqua. Crop and ? Give some few slides 23

AARHUS UNIVERSITY Figaro WP 3 leader AU Rome 20 -22 Jan. 2015 WP 3 Task 3. 6 – results on modelling and optimization by Rafi, Israel 24

AARHUS UNIVERSITY Figaro WP 3 leader AU Rome 20 -22 Jan. 2015 Optimization - Technion › Full optimization of daily irrigation events › Hybrid optimization (can be implemented in real-time) 25

Hybrid optimization AARHUS UNIVERSITY Figaro WP 3 leader AU Rome 20 -22 Jan. 2015 Optimize irrigation event Optimize trigger/replenishment levels Related to crop-specific stress response thresholds 26

AARHUS UNIVERSITY Figaro WP 3 leader AU Rome 20 -22 Jan. 2015 Slide 27

Results for cotton in Greece AARHUS UNIVERSITY DAY 25 DAY 61 Figaro WP 3 leader AU Rome 20 -22 Jan. 2015 expected implemented planned actual DAY 101 DAY 141 28

Results for cotton in Greece AARHUS UNIVERSITY Figaro WP 3 leader AU Rome 20 -22 Jan. 2015 29

AARHUS UNIVERSITY Figaro WP 3 leader AU Rome 20 -22 Jan. 2015 Results for cotton in Greece 30

AARHUS UNIVERSITY Figaro WP 3 leader AU Rome 20 -22 Jan. 2015 Results for cotton in Greece 31

AARHUS UNIVERSITY Figaro WP 3 leader AU Rome 20 -22 Jan. 2015 Results for cotton in Greece 32

AARHUS UNIVERSITY Figaro WP 3 leader AU Rome 20 -22 Jan. 2015 Results for cotton in Greece 33

AARHUS UNIVERSITY Figaro WP 3 leader AU Rome 20 -22 Jan. 2015 Results for cotton in Greece 34

AARHUS UNIVERSITY Figaro WP 3 leader AU Rome 20 -22 Jan. 2015 Results for cotton in Greece 35

AARHUS UNIVERSITY Figaro WP 3 leader AU Rome 20 -22 Jan. 2015 Results for cotton in Greece 36

AARHUS UNIVERSITY Figaro WP 3 leader AU Rome 20 -22 Jan. 2015 Results for cotton in Greece 37

AARHUS UNIVERSITY Figaro WP 3 leader AU Rome 20 -22 Jan. 2015 Results for cotton in Greece 38

AARHUS UNIVERSITY Figaro WP 3 leader AU Rome 20 -22 Jan. 2015 Results for cotton in Greece 39

Results for maize in Kansas AARHUS UNIVERSITY Figaro WP 3 leader AU Rome 20 -22 Jan. 2015 40

Results for maize in Kansas AARHUS UNIVERSITY Figaro WP 3 leader AU Rome 20 -22 Jan. 2015 41

Results for maize in Kansas AARHUS UNIVERSITY Figaro WP 3 leader AU Rome 20 -22 Jan. 2015 42