SlideShare a Scribd company logo
D1.2Operational demo cases
CS3 - Rosignano
UNIVPM, ARETUSA, WEST, CPTM
2
The project leading to this application has received funding from the European Union’s
Horizon 2020 research and innovation programme under grant agreement No 869318
CS3: Rosignano
Lead partner (PPP site operator):
Other partners:
3
The project leading to this application has received funding from the European Union’s
Horizon 2020 research and innovation programme under grant agreement No 869318
CS3: Situation before Ultimate
3.8 Mm3/y
2.0 Mm3/y
Unpredicted
Unacceptable quality
of wastewater
saltwater intrusion
FLOW
SPLITTER
To surface water body
To ARETUSA
To ARETUSA
To surface water body
Wastewater to reuse
Drinking water from industrial wells
4
The project leading to this application has received funding from the European Union’s
Horizon 2020 research and innovation programme under grant agreement No 869318
Irrigation
Match-making tool
CS3: Objectives of the Ultimate solutions
5
The project leading to this application has received funding from the European Union’s
Horizon 2020 research and innovation programme under grant agreement No 869318
CS3: Subtask 1.4.2 Status/progress
Subtask: 1.4.2 Use of by-products of local industries for wastewater treatment in Rosignano
Baseline technology: No material reuse is in place so far
Ultimate solution to foster circular economy: Adsorption pilot with alternative GAC, and AOP pilot
TRL: 4  7
Capacity: < 50 m3/h
Quantifiable targets: > 10% material recovery
Status/progress:
• Detailed design completed
• Adsorption pilot completed & in operation
• AOP pilot under construction
• Clari-flocculation plant under construction
6
The project leading to this application has received funding from the European Union’s
Horizon 2020 research and innovation programme under grant agreement No 869318
CS3: Results of the functional test
Subtask: 1.4.2 Use of by-products of local industries for wastewater treatment in Rosignano
MATERIALS (BY-PRODUCTS) CARACTERIZATION
COMMERCIAL ACTIVATED CARBON (CA)
Laviosa Chimica Mineraria SpA extracts, process and distributes industrial mineral
products, in particular bentonitic products and special ‘modified’ bentonitic products called
“Organo-clay”. From the necessary purification stages in the organo-clay production process
comes this ‘grit’ that is poor in bentonite but rich in zeolite and other silicates.
ORGANOCLAY (LAV1)
7
The project leading to this application has received funding from the European Union’s
Horizon 2020 research and innovation programme under grant agreement No 869318
CS3: Results of the functional test
Subtask: 1.4.2 Use of by-products of local industries for wastewater treatment in Rosignano
Physical activation – ATT1
• Heating of the char pellets in a tubular oven up to 700°C (5°C/min) with N2
purging.
• CO2 flushing and isotherm for 2 hr.
• Cooling of the tubular furnace in N2 purging.
Chemical activation – ATT5-ATT6/7
• Mixing of the char pellets (previously grounded) with KOH in flakes (KOH to char
ratio: 1:1).
• Heating in a tubular oven up to 600°C (5°C/min), isotherm at 600°C for 1 hr and
cooling (5°C/min) with N2 purging.
• Washing with 5M HCl and demi water (up to pH 7).
• Drying at 105°C until constant weight.
Chemical activation – ATT4
• Impregnation of char pellets in KOH aq. solution (KOH to char ratio: 1:1) at 60°C
for 6 hr.
• Drying of the impregnated char at 105°C.
• Heating in a tubular oven up to 600°C (5°C/min), isotherm at 600°C for 1 hr and
cooling (5°C/min) with N2 purging.
• Washing with 1M HCl and demi water (up to pH 7).
• Drying at 105°C until constant weight.
47%
WEIGHT
LOSS
55%
WEIGHT
LOSS
60%
WEIGHT
LOSS
MATERIALS (BY-PRODUCTS) CARACTERIZATION: HYDROCHAR ACTIVATION
8
The project leading to this application has received funding from the European Union’s
Horizon 2020 research and innovation programme under grant agreement No 869318
CS3: Results of the functional test
Subtask: 1.4.2 Use of by-products of local industries for wastewater treatment in Rosignano
MATERIALS (BY-PRODUCTS) CARACTERIZATION
 RAW (NOT ACTIVATED) HYDROCHAR CONTAINS TAR  HIGH COD
 NEED OF PRE-TREATMENT (WASHING) OF RAW HYDROCHAR (NOT ACTIVATED)
 COMMERCIAL ACTIVATED CARBON (CA)
WAS USED AS REFERENCE FOR THE
ADSORPTION TESTS
 HIGH SURPHACE AREA DEVELOPED BY
ACTIVATED HYDROCHAR
LAV 1
Organo Clay
HC
Hydrochar
HC ATT 1
Activated HC
HC ATT 4
Activated HC
HC ATT 5-6-7
Activated HC
CA1
Activated carbon
9
The project leading to this application has received funding from the European Union’s
Horizon 2020 research and innovation programme under grant agreement No 869318
CS3: Results of the functional test
Subtask: 1.4.2 Use of by-products of local industries for wastewater treatment in Rosignano
ADSORPTION TESTS
Material tested: Activated Hydrochar (AH) and Commercial Granular Activated Carbon (GAC)
KINETIC AND ISOTHERM FOR COD ADSORPTION IN MUNICIPAL WASTEWATER
 AH has a higher % of COD removal in a
shorter time: in the first 8 hours 60% of
COD was removed with HA and 25% with
GAC.
 Adsorption processes in both AH and GAC
can be described by Pseudo Second Order
kinetic model, while the Langmuir Isotherm
model showed a better fit than the
Freundlich model.
 100 mg and 70 mg of COD was removed by
AH and GAC respectively after 72 operating
hours.
AH AH AH
AH
10
The project leading to this application has received funding from the European Union’s
Horizon 2020 research and innovation programme under grant agreement No 869318
CS3: Results of the functional test
Subtask: 1.4.2 Use of by-products of local industries for wastewater treatment in Rosignano
ADSORPTION TESTS
Material tested: Activated Hydrochar (AH) and Commercial Granular Activated Carbon (GAC)
KINETIC WITH DICLOFENAC SOLUTION
Experimental Setup for Batch Tests
 AH showed higher adsorption capacity
than conventional GAC.
 The adsorption equilibrium was reached,
after 72 operating hours for HTC and after
144 hours for GAC
0.0
50.0
100.0
150.0
200.0
250.0
0 20 40 60 80
qe
(mg
DCF
/
g
Adsorbant)
Time (h)
DCF Behaviour at 100 mg/L
AH
GAC
0.00
0.20
0.40
0.60
0.80
1.00
1.20
0 50 100 150 200
C/C0
operating hours
DCF Behaviour; GAC
A - 100 mg/L
B - 80 mg/L
C - 60 mg/L
D - 40,0 mg/L
0.0
0.2
0.4
0.6
0.8
1.0
1.2
0 20 40 60 80
C/C0
operating hours
DCF behaviour; HTC
A-100 mg/L
B-80 mg/L
C-60 mg/L
D-40 mg/L
AH
AH
11
The project leading to this application has received funding from the European Union’s
Horizon 2020 research and innovation programme under grant agreement No 869318
CS3: Results of the functional test
Subtask: 1.4.2 Use of by-products of local industries for wastewater treatment in Rosignano
ADSORPTION TESTS
Material tested: Pyrolyzed Hydrochar (PH) and Commercial Granular Activated Carbon (GAC)
KINETIC WITH MUNICIPAL WASTEWATER
 PH has a slower adsorption kinetic of COD
compared with AH and GAC. Lower COD
removal was observed.
Hydrochar (HC) PH Hydrochar
SP
 Pyrolyzed hydrochar (PH) is much more
chopped and less compact.
 Thermal process effectively eliminated the
organic part (TAR) from the material.
Adsorption on Activated Hydrochar (AH) Adsorption on Pyrolyzed Hydrochar (PH)
12
The project leading to this application has received funding from the European Union’s
Horizon 2020 research and innovation programme under grant agreement No 869318
CS3: Results of the functional test
Subtask: 1.4.2 Use of by-products of local industries for wastewater treatment in Rosignano
SOFTENING/COAGULATION/FLOCCULATION TESTS
 “Precotto”: granulated limestone rocks only partially calcinated and slacked, with a declared content of Ca(OH)2
of about 9%.
 Na2CO3 “Soda Solvay® Light” product that resulted to be out of specification.
Solvay Chimica Italia
SpA by-products tested
MATERIALS (BY-PRODUCTS) CARACTERIZATION
 Solvay by-products
proved to be successful in
reducing COD and, even if
with lower
performances, Magnesiu
m and Calcium as well
 Final test are going to be
performed to optimize the
dosage
SUBSTRATE SOFT. AGENT pH COD Removal (%) Mg Removal (%)
Ca Removal
(%)
Influent municipal
wastewater
Commercial SODA 1M 8.5-10 0 < 53
Influent municipal
wastewater
Soda Solvay 8.5-10 0 44-80
Influent municipal
wastewater
Precotto 8.5-10 4-8 < 35
Influent municipal
wastewater
Precotto 8-9.5 49-58 0 17-24
Effluent wastewater Precotto 8-9.5 25-40 7-19 0
Effluent wastewater Soda Solvay 8-9.5 < 10 0 7-45
Aretusa wastewater Precotto 9-9.5 7-47 9-11.4 5.7-9
Aretusa wastewater Soda Solvay 9-9.5 47-73 0-8.4 9-24
Aretusa wastewater
Precotto and Soda
Solvay
9-9.5 80-87 4-6.2 10-24
13
The project leading to this application has received funding from the European Union’s
Horizon 2020 research and innovation programme under grant agreement No 869318
CS3: Pictures/videos of the new technologies
Subtask: 1.4.2 Use of by-products of local industries for wastewater treatment in Rosignano
ADSORPTION PILOT SYSTEM CONSTRUCTION
14
The project leading to this application has received funding from the European Union’s
Horizon 2020 research and innovation programme under grant agreement No 869318
CS3: Pictures/videos of the new technologies
Subtask: 1.4.2 Use of by-products of local industries for wastewater treatment in Rosignano
ADSORPTION PILOT SYSTEM START-UP
15
The project leading to this application has received funding from the European Union’s
Horizon 2020 research and innovation programme under grant agreement No 869318
CS3: Operational procedures and methodologies
Subtask: 1.4.2 Use of by-products of local industries for wastewater treatment in Rosignano
 Pilot plant has been designed to use
adsorption columns both in series and in
parallel
 The pilot is able to work with different flow
rates in order to optimize the operation of
bigger and smaller columns.
 Pressure in all the columns will be
monitored online to check when it is
necessary to proceed with back-washing
operations that will be carried out with a
counter-current water flow.
 Conductivity, pH and COD (UV/Vis and
fluorescence) will be monitored at the exit
of the pilot. COD will be monitored also in
the incoming flow.
 All sensors, pressure transmitters and
pumps will be connected to the electrical
cabinet and data will be available online
 The pilot will be firstly installed and
operated at the pilot hall of UNIVPM and
than will be transported and installed at
ARETUSA site
ADSORPTION PILOT SYSTEM
16
The project leading to this application has received funding from the European Union’s
Horizon 2020 research and innovation programme under grant agreement No 869318
CS3: Operational procedures and methodologies
Subtask: 1.4.2 Use of by-products of local industries for wastewater treatment in Rosignano
SKID EQUIPPED WITH:
 pressurization pump: 60 l/min, 1.9 bar
 sand filter: 3.5 mc/h 250 kg of sand
 multi-cartridge filter
 electromagnetic dosing pump
 static mixer
 Viqua PRO 24-180mJ UV system
 electrical panel
AOP PILOT SYSTEM
Pilot plant under construction!
17
The project leading to this application has received funding from the European Union’s
Horizon 2020 research and innovation programme under grant agreement No 869318
CS3: First results
Subtask: 1.4.2 Use of by-products of local industries for wastewater treatment in Rosignano
INFLUENT EFFLUENT
Fluorescence (I5): 0.932
UV: 0.1246
Fluorescence (I5): 0.559
UV: 0.077
Fluorescence (I5): 0.408
UV: 0.043
Fluorescence (I5): 0.110
UV: 0.0104
Calibration of the fluorescence sensor showed
promising results!
ADSORPTION PILOT SYSTEM
18
The project leading to this application has received funding from the European Union’s
Horizon 2020 research and innovation programme under grant agreement No 869318
CS3: Subtask 1.4.2 – Timeline
 Pilot system is operational since July 2022 (M26)
 Still enough time to complete the pilot experiments
Subtask: 1.4.2 Use of by-products of local industries for wastewater treatment in Rosignano
M1
M2
M3
M4
M5
M6
M7
M8
M9
M10
M11
M12
M1
M2
M3
M4
M5
M6
M7
M8
M9
M10
M11
M12
M1
M2
M3
M4
M5
M6
M7
M8
M9
M10
M11
M12
M1
M2
M3
M4
M5
M6
M7
M8
M9
M10
M11
M12
M1
M2
M3
M4
M5
YEAR 5
YEAR 4
YEAR 1 YEAR 2 YEAR 3
T1.4.2 - Use of by-products of local industries for wastewater
treatment in Rosignano
Baseline conditions assessed MS05 D1.1
Design of pilot system MS09
Laboratory scale experiments MS15
Pilot system operational - ADSORPTION MS15 + 8M D1.2 + 2M
Procurement, construction and installation - AOP
Procurement, construct. & installation - CLARI-FLOCCULATION
Start-up & results MS19 D1.9
Best practices for material recovery D1.5
 Two additional pilot systems will be implemented having a different timeline
 Additional pilots will be presented in D1.5
Legend
Task/Subtask
Activity as planned
Postponed activity
Delay of activity
Extension of activity
The project leading to this application has received funding from the European Union’s
Horizon 2020 research and innovation programme under grant agreement No 869318
CS3 Contacts
c.bruni@pm.univpm.it
f.fatone@univpm.it
mattiaciampechini@gmail.com
m.sgroi@univpm.it

More Related Content

Similar to D1.2-Demonstrator Case Study Rosignano

D1.2-Demonstrator Case Study Lleida
D1.2-Demonstrator Case Study LleidaD1.2-Demonstrator Case Study Lleida
D1.2-Demonstrator Case Study Lleida
DrKristineJung
 
D1.2-Demonstrator Case Study Karmiel/Shafdan
D1.2-Demonstrator Case Study Karmiel/ShafdanD1.2-Demonstrator Case Study Karmiel/Shafdan
D1.2-Demonstrator Case Study Karmiel/Shafdan
DrKristineJung
 
D1.2-Demonstrator Case Study Karmiel/Shafdan
D1.2-Demonstrator Case Study Karmiel/ShafdanD1.2-Demonstrator Case Study Karmiel/Shafdan
D1.2-Demonstrator Case Study Karmiel/Shafdan
DrKristineJung
 
D1.2-Demonstrator Case Study Tain
D1.2-Demonstrator Case Study TainD1.2-Demonstrator Case Study Tain
D1.2-Demonstrator Case Study Tain
DrKristineJung
 
D1.2-Demonstrator Case Study Karmiel/Shafdan
D1.2-Demonstrator Case Study Karmiel/ShafdanD1.2-Demonstrator Case Study Karmiel/Shafdan
D1.2-Demonstrator Case Study Karmiel/Shafdan
DrKristineJung
 
SaltGae Project: results achieved and demo sites.
SaltGae Project: results achieved and demo sites.SaltGae Project: results achieved and demo sites.
SaltGae Project: results achieved and demo sites.
SALTGAEProject
 
D1.2-Demonstrator Case Study Lleida
D1.2-Demonstrator Case Study LleidaD1.2-Demonstrator Case Study Lleida
D1.2-Demonstrator Case Study Lleida
DrKristineJung
 
D1.2-Demonstrator Case Study Kalundborg
D1.2-Demonstrator Case Study KalundborgD1.2-Demonstrator Case Study Kalundborg
D1.2-Demonstrator Case Study Kalundborg
DrKristineJung
 
D1.2-Demonstrator Case Study Saint-Maurice l´Exil
D1.2-Demonstrator Case Study Saint-Maurice l´ExilD1.2-Demonstrator Case Study Saint-Maurice l´Exil
D1.2-Demonstrator Case Study Saint-Maurice l´Exil
DrKristineJung
 
D1.2-Demonstrator Case Study Saint-Maurice l´Exil
D1.2-Demonstrator Case Study Saint-Maurice l´ExilD1.2-Demonstrator Case Study Saint-Maurice l´Exil
D1.2-Demonstrator Case Study Saint-Maurice l´Exil
DrKristineJung
 
D1.2-Demonstrator Case Study Tain
D1.2-Demonstrator Case Study TainD1.2-Demonstrator Case Study Tain
D1.2-Demonstrator Case Study Tain
DrKristineJung
 
D1.2-Demonstrator Case Study Kalundborg
D1.2-Demonstrator Case Study KalundborgD1.2-Demonstrator Case Study Kalundborg
D1.2-Demonstrator Case Study Kalundborg
DrKristineJung
 
D1.2-Demonstrator Case Study Saint-Maurice l´Exil
D1.2-Demonstrator Case Study Saint-Maurice l´ExilD1.2-Demonstrator Case Study Saint-Maurice l´Exil
D1.2-Demonstrator Case Study Saint-Maurice l´Exil
DrKristineJung
 
D1.2-Demonstrator Case Study Saint-Maurice l´Exil
D1.2-Demonstrator Case Study Saint-Maurice l´ExilD1.2-Demonstrator Case Study Saint-Maurice l´Exil
D1.2-Demonstrator Case Study Saint-Maurice l´Exil
DrKristineJung
 
SaltGae project overview - SaltGae Final Event
SaltGae project overview - SaltGae Final EventSaltGae project overview - SaltGae Final Event
SaltGae project overview - SaltGae Final Event
SALTGAEProject
 
D1.2-Demonstrator Case Study Tarragona
D1.2-Demonstrator Case Study TarragonaD1.2-Demonstrator Case Study Tarragona
D1.2-Demonstrator Case Study Tarragona
DrKristineJung
 
D1.2-Demonstrator Case Study Tain
D1.2-Demonstrator Case Study TainD1.2-Demonstrator Case Study Tain
D1.2-Demonstrator Case Study Tain
DrKristineJung
 
D1.2-Demonstrator Case Study Nieuw Prinsenland
D1.2-Demonstrator Case Study Nieuw PrinsenlandD1.2-Demonstrator Case Study Nieuw Prinsenland
D1.2-Demonstrator Case Study Nieuw Prinsenland
DrKristineJung
 
D1.2-Demonstrator Case Study Nieuw Prinsenland
D1.2-Demonstrator Case Study Nieuw PrinsenlandD1.2-Demonstrator Case Study Nieuw Prinsenland
D1.2-Demonstrator Case Study Nieuw Prinsenland
DrKristineJung
 
D1.2-Demonstrator Case Study Tarragona
D1.2-Demonstrator Case Study TarragonaD1.2-Demonstrator Case Study Tarragona
D1.2-Demonstrator Case Study Tarragona
DrKristineJung
 

Similar to D1.2-Demonstrator Case Study Rosignano (20)

D1.2-Demonstrator Case Study Lleida
D1.2-Demonstrator Case Study LleidaD1.2-Demonstrator Case Study Lleida
D1.2-Demonstrator Case Study Lleida
 
D1.2-Demonstrator Case Study Karmiel/Shafdan
D1.2-Demonstrator Case Study Karmiel/ShafdanD1.2-Demonstrator Case Study Karmiel/Shafdan
D1.2-Demonstrator Case Study Karmiel/Shafdan
 
D1.2-Demonstrator Case Study Karmiel/Shafdan
D1.2-Demonstrator Case Study Karmiel/ShafdanD1.2-Demonstrator Case Study Karmiel/Shafdan
D1.2-Demonstrator Case Study Karmiel/Shafdan
 
D1.2-Demonstrator Case Study Tain
D1.2-Demonstrator Case Study TainD1.2-Demonstrator Case Study Tain
D1.2-Demonstrator Case Study Tain
 
D1.2-Demonstrator Case Study Karmiel/Shafdan
D1.2-Demonstrator Case Study Karmiel/ShafdanD1.2-Demonstrator Case Study Karmiel/Shafdan
D1.2-Demonstrator Case Study Karmiel/Shafdan
 
SaltGae Project: results achieved and demo sites.
SaltGae Project: results achieved and demo sites.SaltGae Project: results achieved and demo sites.
SaltGae Project: results achieved and demo sites.
 
D1.2-Demonstrator Case Study Lleida
D1.2-Demonstrator Case Study LleidaD1.2-Demonstrator Case Study Lleida
D1.2-Demonstrator Case Study Lleida
 
D1.2-Demonstrator Case Study Kalundborg
D1.2-Demonstrator Case Study KalundborgD1.2-Demonstrator Case Study Kalundborg
D1.2-Demonstrator Case Study Kalundborg
 
D1.2-Demonstrator Case Study Saint-Maurice l´Exil
D1.2-Demonstrator Case Study Saint-Maurice l´ExilD1.2-Demonstrator Case Study Saint-Maurice l´Exil
D1.2-Demonstrator Case Study Saint-Maurice l´Exil
 
D1.2-Demonstrator Case Study Saint-Maurice l´Exil
D1.2-Demonstrator Case Study Saint-Maurice l´ExilD1.2-Demonstrator Case Study Saint-Maurice l´Exil
D1.2-Demonstrator Case Study Saint-Maurice l´Exil
 
D1.2-Demonstrator Case Study Tain
D1.2-Demonstrator Case Study TainD1.2-Demonstrator Case Study Tain
D1.2-Demonstrator Case Study Tain
 
D1.2-Demonstrator Case Study Kalundborg
D1.2-Demonstrator Case Study KalundborgD1.2-Demonstrator Case Study Kalundborg
D1.2-Demonstrator Case Study Kalundborg
 
D1.2-Demonstrator Case Study Saint-Maurice l´Exil
D1.2-Demonstrator Case Study Saint-Maurice l´ExilD1.2-Demonstrator Case Study Saint-Maurice l´Exil
D1.2-Demonstrator Case Study Saint-Maurice l´Exil
 
D1.2-Demonstrator Case Study Saint-Maurice l´Exil
D1.2-Demonstrator Case Study Saint-Maurice l´ExilD1.2-Demonstrator Case Study Saint-Maurice l´Exil
D1.2-Demonstrator Case Study Saint-Maurice l´Exil
 
SaltGae project overview - SaltGae Final Event
SaltGae project overview - SaltGae Final EventSaltGae project overview - SaltGae Final Event
SaltGae project overview - SaltGae Final Event
 
D1.2-Demonstrator Case Study Tarragona
D1.2-Demonstrator Case Study TarragonaD1.2-Demonstrator Case Study Tarragona
D1.2-Demonstrator Case Study Tarragona
 
D1.2-Demonstrator Case Study Tain
D1.2-Demonstrator Case Study TainD1.2-Demonstrator Case Study Tain
D1.2-Demonstrator Case Study Tain
 
D1.2-Demonstrator Case Study Nieuw Prinsenland
D1.2-Demonstrator Case Study Nieuw PrinsenlandD1.2-Demonstrator Case Study Nieuw Prinsenland
D1.2-Demonstrator Case Study Nieuw Prinsenland
 
D1.2-Demonstrator Case Study Nieuw Prinsenland
D1.2-Demonstrator Case Study Nieuw PrinsenlandD1.2-Demonstrator Case Study Nieuw Prinsenland
D1.2-Demonstrator Case Study Nieuw Prinsenland
 
D1.2-Demonstrator Case Study Tarragona
D1.2-Demonstrator Case Study TarragonaD1.2-Demonstrator Case Study Tarragona
D1.2-Demonstrator Case Study Tarragona
 

Recently uploaded

Generative AI leverages algorithms to create various forms of content
Generative AI leverages algorithms to create various forms of contentGenerative AI leverages algorithms to create various forms of content
Generative AI leverages algorithms to create various forms of content
Hitesh Mohapatra
 
ML Based Model for NIDS MSc Updated Presentation.v2.pptx
ML Based Model for NIDS MSc Updated Presentation.v2.pptxML Based Model for NIDS MSc Updated Presentation.v2.pptx
ML Based Model for NIDS MSc Updated Presentation.v2.pptx
JamalHussainArman
 
132/33KV substation case study Presentation
132/33KV substation case study Presentation132/33KV substation case study Presentation
132/33KV substation case study Presentation
kandramariana6
 
学校原版美国波士顿大学毕业证学历学位证书原版一模一样
学校原版美国波士顿大学毕业证学历学位证书原版一模一样学校原版美国波士顿大学毕业证学历学位证书原版一模一样
学校原版美国波士顿大学毕业证学历学位证书原版一模一样
171ticu
 
5214-1693458878915-Unit 6 2023 to 2024 academic year assignment (AutoRecovere...
5214-1693458878915-Unit 6 2023 to 2024 academic year assignment (AutoRecovere...5214-1693458878915-Unit 6 2023 to 2024 academic year assignment (AutoRecovere...
5214-1693458878915-Unit 6 2023 to 2024 academic year assignment (AutoRecovere...
ihlasbinance2003
 
Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...
Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...
Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...
University of Maribor
 
Recycled Concrete Aggregate in Construction Part III
Recycled Concrete Aggregate in Construction Part IIIRecycled Concrete Aggregate in Construction Part III
Recycled Concrete Aggregate in Construction Part III
Aditya Rajan Patra
 
ISPM 15 Heat Treated Wood Stamps and why your shipping must have one
ISPM 15 Heat Treated Wood Stamps and why your shipping must have oneISPM 15 Heat Treated Wood Stamps and why your shipping must have one
ISPM 15 Heat Treated Wood Stamps and why your shipping must have one
Las Vegas Warehouse
 
Recycled Concrete Aggregate in Construction Part II
Recycled Concrete Aggregate in Construction Part IIRecycled Concrete Aggregate in Construction Part II
Recycled Concrete Aggregate in Construction Part II
Aditya Rajan Patra
 
Casting-Defect-inSlab continuous casting.pdf
Casting-Defect-inSlab continuous casting.pdfCasting-Defect-inSlab continuous casting.pdf
Casting-Defect-inSlab continuous casting.pdf
zubairahmad848137
 
BPV-GUI-01-Guide-for-ASME-Review-Teams-(General)-10-10-2023.pdf
BPV-GUI-01-Guide-for-ASME-Review-Teams-(General)-10-10-2023.pdfBPV-GUI-01-Guide-for-ASME-Review-Teams-(General)-10-10-2023.pdf
BPV-GUI-01-Guide-for-ASME-Review-Teams-(General)-10-10-2023.pdf
MIGUELANGEL966976
 
Question paper of renewable energy sources
Question paper of renewable energy sourcesQuestion paper of renewable energy sources
Question paper of renewable energy sources
mahammadsalmanmech
 
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMS
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMSA SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMS
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMS
IJNSA Journal
 
A review on techniques and modelling methodologies used for checking electrom...
A review on techniques and modelling methodologies used for checking electrom...A review on techniques and modelling methodologies used for checking electrom...
A review on techniques and modelling methodologies used for checking electrom...
nooriasukmaningtyas
 
Iron and Steel Technology Roadmap - Towards more sustainable steelmaking.pdf
Iron and Steel Technology Roadmap - Towards more sustainable steelmaking.pdfIron and Steel Technology Roadmap - Towards more sustainable steelmaking.pdf
Iron and Steel Technology Roadmap - Towards more sustainable steelmaking.pdf
RadiNasr
 
Understanding Inductive Bias in Machine Learning
Understanding Inductive Bias in Machine LearningUnderstanding Inductive Bias in Machine Learning
Understanding Inductive Bias in Machine Learning
SUTEJAS
 
Advanced control scheme of doubly fed induction generator for wind turbine us...
Advanced control scheme of doubly fed induction generator for wind turbine us...Advanced control scheme of doubly fed induction generator for wind turbine us...
Advanced control scheme of doubly fed induction generator for wind turbine us...
IJECEIAES
 
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressions
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsKuberTENes Birthday Bash Guadalajara - K8sGPT first impressions
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressions
Victor Morales
 
Properties Railway Sleepers and Test.pptx
Properties Railway Sleepers and Test.pptxProperties Railway Sleepers and Test.pptx
Properties Railway Sleepers and Test.pptx
MDSABBIROJJAMANPAYEL
 
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
IJECEIAES
 

Recently uploaded (20)

Generative AI leverages algorithms to create various forms of content
Generative AI leverages algorithms to create various forms of contentGenerative AI leverages algorithms to create various forms of content
Generative AI leverages algorithms to create various forms of content
 
ML Based Model for NIDS MSc Updated Presentation.v2.pptx
ML Based Model for NIDS MSc Updated Presentation.v2.pptxML Based Model for NIDS MSc Updated Presentation.v2.pptx
ML Based Model for NIDS MSc Updated Presentation.v2.pptx
 
132/33KV substation case study Presentation
132/33KV substation case study Presentation132/33KV substation case study Presentation
132/33KV substation case study Presentation
 
学校原版美国波士顿大学毕业证学历学位证书原版一模一样
学校原版美国波士顿大学毕业证学历学位证书原版一模一样学校原版美国波士顿大学毕业证学历学位证书原版一模一样
学校原版美国波士顿大学毕业证学历学位证书原版一模一样
 
5214-1693458878915-Unit 6 2023 to 2024 academic year assignment (AutoRecovere...
5214-1693458878915-Unit 6 2023 to 2024 academic year assignment (AutoRecovere...5214-1693458878915-Unit 6 2023 to 2024 academic year assignment (AutoRecovere...
5214-1693458878915-Unit 6 2023 to 2024 academic year assignment (AutoRecovere...
 
Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...
Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...
Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...
 
Recycled Concrete Aggregate in Construction Part III
Recycled Concrete Aggregate in Construction Part IIIRecycled Concrete Aggregate in Construction Part III
Recycled Concrete Aggregate in Construction Part III
 
ISPM 15 Heat Treated Wood Stamps and why your shipping must have one
ISPM 15 Heat Treated Wood Stamps and why your shipping must have oneISPM 15 Heat Treated Wood Stamps and why your shipping must have one
ISPM 15 Heat Treated Wood Stamps and why your shipping must have one
 
Recycled Concrete Aggregate in Construction Part II
Recycled Concrete Aggregate in Construction Part IIRecycled Concrete Aggregate in Construction Part II
Recycled Concrete Aggregate in Construction Part II
 
Casting-Defect-inSlab continuous casting.pdf
Casting-Defect-inSlab continuous casting.pdfCasting-Defect-inSlab continuous casting.pdf
Casting-Defect-inSlab continuous casting.pdf
 
BPV-GUI-01-Guide-for-ASME-Review-Teams-(General)-10-10-2023.pdf
BPV-GUI-01-Guide-for-ASME-Review-Teams-(General)-10-10-2023.pdfBPV-GUI-01-Guide-for-ASME-Review-Teams-(General)-10-10-2023.pdf
BPV-GUI-01-Guide-for-ASME-Review-Teams-(General)-10-10-2023.pdf
 
Question paper of renewable energy sources
Question paper of renewable energy sourcesQuestion paper of renewable energy sources
Question paper of renewable energy sources
 
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMS
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMSA SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMS
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMS
 
A review on techniques and modelling methodologies used for checking electrom...
A review on techniques and modelling methodologies used for checking electrom...A review on techniques and modelling methodologies used for checking electrom...
A review on techniques and modelling methodologies used for checking electrom...
 
Iron and Steel Technology Roadmap - Towards more sustainable steelmaking.pdf
Iron and Steel Technology Roadmap - Towards more sustainable steelmaking.pdfIron and Steel Technology Roadmap - Towards more sustainable steelmaking.pdf
Iron and Steel Technology Roadmap - Towards more sustainable steelmaking.pdf
 
Understanding Inductive Bias in Machine Learning
Understanding Inductive Bias in Machine LearningUnderstanding Inductive Bias in Machine Learning
Understanding Inductive Bias in Machine Learning
 
Advanced control scheme of doubly fed induction generator for wind turbine us...
Advanced control scheme of doubly fed induction generator for wind turbine us...Advanced control scheme of doubly fed induction generator for wind turbine us...
Advanced control scheme of doubly fed induction generator for wind turbine us...
 
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressions
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsKuberTENes Birthday Bash Guadalajara - K8sGPT first impressions
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressions
 
Properties Railway Sleepers and Test.pptx
Properties Railway Sleepers and Test.pptxProperties Railway Sleepers and Test.pptx
Properties Railway Sleepers and Test.pptx
 
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
 

D1.2-Demonstrator Case Study Rosignano

  • 1. D1.2Operational demo cases CS3 - Rosignano UNIVPM, ARETUSA, WEST, CPTM
  • 2. 2 The project leading to this application has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 869318 CS3: Rosignano Lead partner (PPP site operator): Other partners:
  • 3. 3 The project leading to this application has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 869318 CS3: Situation before Ultimate 3.8 Mm3/y 2.0 Mm3/y Unpredicted Unacceptable quality of wastewater saltwater intrusion FLOW SPLITTER To surface water body To ARETUSA To ARETUSA To surface water body Wastewater to reuse Drinking water from industrial wells
  • 4. 4 The project leading to this application has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 869318 Irrigation Match-making tool CS3: Objectives of the Ultimate solutions
  • 5. 5 The project leading to this application has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 869318 CS3: Subtask 1.4.2 Status/progress Subtask: 1.4.2 Use of by-products of local industries for wastewater treatment in Rosignano Baseline technology: No material reuse is in place so far Ultimate solution to foster circular economy: Adsorption pilot with alternative GAC, and AOP pilot TRL: 4  7 Capacity: < 50 m3/h Quantifiable targets: > 10% material recovery Status/progress: • Detailed design completed • Adsorption pilot completed & in operation • AOP pilot under construction • Clari-flocculation plant under construction
  • 6. 6 The project leading to this application has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 869318 CS3: Results of the functional test Subtask: 1.4.2 Use of by-products of local industries for wastewater treatment in Rosignano MATERIALS (BY-PRODUCTS) CARACTERIZATION COMMERCIAL ACTIVATED CARBON (CA) Laviosa Chimica Mineraria SpA extracts, process and distributes industrial mineral products, in particular bentonitic products and special ‘modified’ bentonitic products called “Organo-clay”. From the necessary purification stages in the organo-clay production process comes this ‘grit’ that is poor in bentonite but rich in zeolite and other silicates. ORGANOCLAY (LAV1)
  • 7. 7 The project leading to this application has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 869318 CS3: Results of the functional test Subtask: 1.4.2 Use of by-products of local industries for wastewater treatment in Rosignano Physical activation – ATT1 • Heating of the char pellets in a tubular oven up to 700°C (5°C/min) with N2 purging. • CO2 flushing and isotherm for 2 hr. • Cooling of the tubular furnace in N2 purging. Chemical activation – ATT5-ATT6/7 • Mixing of the char pellets (previously grounded) with KOH in flakes (KOH to char ratio: 1:1). • Heating in a tubular oven up to 600°C (5°C/min), isotherm at 600°C for 1 hr and cooling (5°C/min) with N2 purging. • Washing with 5M HCl and demi water (up to pH 7). • Drying at 105°C until constant weight. Chemical activation – ATT4 • Impregnation of char pellets in KOH aq. solution (KOH to char ratio: 1:1) at 60°C for 6 hr. • Drying of the impregnated char at 105°C. • Heating in a tubular oven up to 600°C (5°C/min), isotherm at 600°C for 1 hr and cooling (5°C/min) with N2 purging. • Washing with 1M HCl and demi water (up to pH 7). • Drying at 105°C until constant weight. 47% WEIGHT LOSS 55% WEIGHT LOSS 60% WEIGHT LOSS MATERIALS (BY-PRODUCTS) CARACTERIZATION: HYDROCHAR ACTIVATION
  • 8. 8 The project leading to this application has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 869318 CS3: Results of the functional test Subtask: 1.4.2 Use of by-products of local industries for wastewater treatment in Rosignano MATERIALS (BY-PRODUCTS) CARACTERIZATION  RAW (NOT ACTIVATED) HYDROCHAR CONTAINS TAR  HIGH COD  NEED OF PRE-TREATMENT (WASHING) OF RAW HYDROCHAR (NOT ACTIVATED)  COMMERCIAL ACTIVATED CARBON (CA) WAS USED AS REFERENCE FOR THE ADSORPTION TESTS  HIGH SURPHACE AREA DEVELOPED BY ACTIVATED HYDROCHAR LAV 1 Organo Clay HC Hydrochar HC ATT 1 Activated HC HC ATT 4 Activated HC HC ATT 5-6-7 Activated HC CA1 Activated carbon
  • 9. 9 The project leading to this application has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 869318 CS3: Results of the functional test Subtask: 1.4.2 Use of by-products of local industries for wastewater treatment in Rosignano ADSORPTION TESTS Material tested: Activated Hydrochar (AH) and Commercial Granular Activated Carbon (GAC) KINETIC AND ISOTHERM FOR COD ADSORPTION IN MUNICIPAL WASTEWATER  AH has a higher % of COD removal in a shorter time: in the first 8 hours 60% of COD was removed with HA and 25% with GAC.  Adsorption processes in both AH and GAC can be described by Pseudo Second Order kinetic model, while the Langmuir Isotherm model showed a better fit than the Freundlich model.  100 mg and 70 mg of COD was removed by AH and GAC respectively after 72 operating hours. AH AH AH AH
  • 10. 10 The project leading to this application has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 869318 CS3: Results of the functional test Subtask: 1.4.2 Use of by-products of local industries for wastewater treatment in Rosignano ADSORPTION TESTS Material tested: Activated Hydrochar (AH) and Commercial Granular Activated Carbon (GAC) KINETIC WITH DICLOFENAC SOLUTION Experimental Setup for Batch Tests  AH showed higher adsorption capacity than conventional GAC.  The adsorption equilibrium was reached, after 72 operating hours for HTC and after 144 hours for GAC 0.0 50.0 100.0 150.0 200.0 250.0 0 20 40 60 80 qe (mg DCF / g Adsorbant) Time (h) DCF Behaviour at 100 mg/L AH GAC 0.00 0.20 0.40 0.60 0.80 1.00 1.20 0 50 100 150 200 C/C0 operating hours DCF Behaviour; GAC A - 100 mg/L B - 80 mg/L C - 60 mg/L D - 40,0 mg/L 0.0 0.2 0.4 0.6 0.8 1.0 1.2 0 20 40 60 80 C/C0 operating hours DCF behaviour; HTC A-100 mg/L B-80 mg/L C-60 mg/L D-40 mg/L AH AH
  • 11. 11 The project leading to this application has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 869318 CS3: Results of the functional test Subtask: 1.4.2 Use of by-products of local industries for wastewater treatment in Rosignano ADSORPTION TESTS Material tested: Pyrolyzed Hydrochar (PH) and Commercial Granular Activated Carbon (GAC) KINETIC WITH MUNICIPAL WASTEWATER  PH has a slower adsorption kinetic of COD compared with AH and GAC. Lower COD removal was observed. Hydrochar (HC) PH Hydrochar SP  Pyrolyzed hydrochar (PH) is much more chopped and less compact.  Thermal process effectively eliminated the organic part (TAR) from the material. Adsorption on Activated Hydrochar (AH) Adsorption on Pyrolyzed Hydrochar (PH)
  • 12. 12 The project leading to this application has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 869318 CS3: Results of the functional test Subtask: 1.4.2 Use of by-products of local industries for wastewater treatment in Rosignano SOFTENING/COAGULATION/FLOCCULATION TESTS  “Precotto”: granulated limestone rocks only partially calcinated and slacked, with a declared content of Ca(OH)2 of about 9%.  Na2CO3 “Soda Solvay® Light” product that resulted to be out of specification. Solvay Chimica Italia SpA by-products tested MATERIALS (BY-PRODUCTS) CARACTERIZATION  Solvay by-products proved to be successful in reducing COD and, even if with lower performances, Magnesiu m and Calcium as well  Final test are going to be performed to optimize the dosage SUBSTRATE SOFT. AGENT pH COD Removal (%) Mg Removal (%) Ca Removal (%) Influent municipal wastewater Commercial SODA 1M 8.5-10 0 < 53 Influent municipal wastewater Soda Solvay 8.5-10 0 44-80 Influent municipal wastewater Precotto 8.5-10 4-8 < 35 Influent municipal wastewater Precotto 8-9.5 49-58 0 17-24 Effluent wastewater Precotto 8-9.5 25-40 7-19 0 Effluent wastewater Soda Solvay 8-9.5 < 10 0 7-45 Aretusa wastewater Precotto 9-9.5 7-47 9-11.4 5.7-9 Aretusa wastewater Soda Solvay 9-9.5 47-73 0-8.4 9-24 Aretusa wastewater Precotto and Soda Solvay 9-9.5 80-87 4-6.2 10-24
  • 13. 13 The project leading to this application has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 869318 CS3: Pictures/videos of the new technologies Subtask: 1.4.2 Use of by-products of local industries for wastewater treatment in Rosignano ADSORPTION PILOT SYSTEM CONSTRUCTION
  • 14. 14 The project leading to this application has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 869318 CS3: Pictures/videos of the new technologies Subtask: 1.4.2 Use of by-products of local industries for wastewater treatment in Rosignano ADSORPTION PILOT SYSTEM START-UP
  • 15. 15 The project leading to this application has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 869318 CS3: Operational procedures and methodologies Subtask: 1.4.2 Use of by-products of local industries for wastewater treatment in Rosignano  Pilot plant has been designed to use adsorption columns both in series and in parallel  The pilot is able to work with different flow rates in order to optimize the operation of bigger and smaller columns.  Pressure in all the columns will be monitored online to check when it is necessary to proceed with back-washing operations that will be carried out with a counter-current water flow.  Conductivity, pH and COD (UV/Vis and fluorescence) will be monitored at the exit of the pilot. COD will be monitored also in the incoming flow.  All sensors, pressure transmitters and pumps will be connected to the electrical cabinet and data will be available online  The pilot will be firstly installed and operated at the pilot hall of UNIVPM and than will be transported and installed at ARETUSA site ADSORPTION PILOT SYSTEM
  • 16. 16 The project leading to this application has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 869318 CS3: Operational procedures and methodologies Subtask: 1.4.2 Use of by-products of local industries for wastewater treatment in Rosignano SKID EQUIPPED WITH:  pressurization pump: 60 l/min, 1.9 bar  sand filter: 3.5 mc/h 250 kg of sand  multi-cartridge filter  electromagnetic dosing pump  static mixer  Viqua PRO 24-180mJ UV system  electrical panel AOP PILOT SYSTEM Pilot plant under construction!
  • 17. 17 The project leading to this application has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 869318 CS3: First results Subtask: 1.4.2 Use of by-products of local industries for wastewater treatment in Rosignano INFLUENT EFFLUENT Fluorescence (I5): 0.932 UV: 0.1246 Fluorescence (I5): 0.559 UV: 0.077 Fluorescence (I5): 0.408 UV: 0.043 Fluorescence (I5): 0.110 UV: 0.0104 Calibration of the fluorescence sensor showed promising results! ADSORPTION PILOT SYSTEM
  • 18. 18 The project leading to this application has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 869318 CS3: Subtask 1.4.2 – Timeline  Pilot system is operational since July 2022 (M26)  Still enough time to complete the pilot experiments Subtask: 1.4.2 Use of by-products of local industries for wastewater treatment in Rosignano M1 M2 M3 M4 M5 M6 M7 M8 M9 M10 M11 M12 M1 M2 M3 M4 M5 M6 M7 M8 M9 M10 M11 M12 M1 M2 M3 M4 M5 M6 M7 M8 M9 M10 M11 M12 M1 M2 M3 M4 M5 M6 M7 M8 M9 M10 M11 M12 M1 M2 M3 M4 M5 YEAR 5 YEAR 4 YEAR 1 YEAR 2 YEAR 3 T1.4.2 - Use of by-products of local industries for wastewater treatment in Rosignano Baseline conditions assessed MS05 D1.1 Design of pilot system MS09 Laboratory scale experiments MS15 Pilot system operational - ADSORPTION MS15 + 8M D1.2 + 2M Procurement, construction and installation - AOP Procurement, construct. & installation - CLARI-FLOCCULATION Start-up & results MS19 D1.9 Best practices for material recovery D1.5  Two additional pilot systems will be implemented having a different timeline  Additional pilots will be presented in D1.5 Legend Task/Subtask Activity as planned Postponed activity Delay of activity Extension of activity
  • 19. The project leading to this application has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 869318 CS3 Contacts c.bruni@pm.univpm.it f.fatone@univpm.it mattiaciampechini@gmail.com m.sgroi@univpm.it

Editor's Notes

  1. Describe the current situation