Hybrid Renewable Energy Systems. Kamal MOHAMMEDI MESOnexusteam/M. Bougara University, Boumerdèss (Algeria) Email:
[email protected]
ICPEA 2015/ICAAID2015 Joint International Conferences
SPECIMENS Project: Sustainability for Profitability and Efficiency Initiative in Cement Industry. Contribution to CO2 emissions reduction. (Funded by DGRSDT, Algerian research agency)
Specimens Project ZIAD Project: Improving efficiency, reducing Greenhouse gases (GHGs) e issio s a d aste p odu tio i i dust ial pa ks ‘PRU
ECOVERDE Project: Zero Waste-Zero Emissions Municipalities TASC Project: Tramways in Algeria for Sustainable Cities
The MESOteam was involved in FP6 EU projects in Hybrid Renewable Energy Systems for Desalination 1. RESYSproDESAL project: 2004-2007
www.resyspro.net
RESYSproDESAL=Renewable Energy SYStems for DESALination
2. OPEN-GAIN project: 2007-2010
www.open-gain.org
people not connected to grids,
National
most of them living in remote sunny arid areas (Pb of water)in Third World Countries.
overconsumption of electricity in developed countries ……Peak load shaving, CO2 mitigation, ……..
Water- Energy Nexus Energy used by Water Plants
World to have 40% less water by 2030 – UN
(Gulf News newspaper March 22, 2015)
Waste and Wastwater 3%
Residential and Commercial Buildings 8% Energy supply 26%
Forestry 17%
Agriculture 15%
Transport 13% Industry 19%
CO2 emissions
Things are not always what you see…
or what they seem to be….
Reality is….
Waste everywhere
…
Who is responsible?....
HRES General Architecture
PV-Wind Turbine-Diesel Genset-Batteries Hybrid system SMA Germany
DC bus Configuration
AC bus Configuration
AC-DC buses Configuration
Nature Inspired Power-2-Gas Concept
IPSEpro System Analysis Environment
Process Simulation Environment IPSEpro-PSE Icônes représentant les composants dans la bibliothèque modèle
Le rédacteur d'organigramme pour le procédé d'établissement modèle graphiques Solutionneurs pour des équations algébriques, optimisation, RESYSproDESAL FP6 Workshop, 26th March 2006, BOUMERDES, ALGERIA validation
IPSEpro: Design, Analysis, Optimisation
1.2
water power
1.0
2.0
0.8 1.5 0.6 1.0
power [kW]
2.5
water [m³/h]
PSExcel:
1.4
3.0
Day, Month, Year Balances Fractions of RES Emissions
0.4 Investment
0.5
0.5% 13.9%
0.2
0.0
3.1%
0.0 1
3
5
7
9
11
13
15
17
19
21
0.0%
CW
23
1.3%
solar hour of day in July [h] 6.0% 46.0%
PSEconomy: Life Cycle Cost Present Value of Project Levelised Costs of Power and Water Cost of CO2-Avoidance
BWED PV 29.2%
RESYSproDESAL Environment
– Advantages:
• Focus on Modelling and not on Programming • Reusable models – Concerns:
• Develop Libraries
Model Libraries • • • •
APP.lib : Power Plant Library GT.lib : Gas Turbine Library Frigo.lib : Refrigeration Processes Library DESAL.lib : Desalination Processes Library Desal.lib Library:
• • • • • •
MSF, Multi-Stage Flash MED, Multi- Effect Distillation MVC, Mechanical Vapor Compression TVC, Thermal Vapor Compression RO, Reverse Osmosis RE components (PV, WEC, CSP PTC,…..) 30
Model Developpment Kit(MDK)
31
BWRO(PV+Diesel) 5
BWRO (PV+Diesel) 5
RE to Village 4
RE to Village
from Diesel
4
from Diesel
from PV
3
from PV
power [kW]
3 2
1
0
2
1
0 1
3
5
7
9
11
13
-1
solar time of day in July
15
17
19
21
23
1
3
5
7
9
11
13
-1
solar time of day in January
15
17
19
21
23
Screen Shot from www.resyspro.net (tables)
35
General System Configuration Energy Consumptions RO: Reverse Osmosis Desalination Unit LOAD: External Electricity Load
Renewable Energy Units
DC Bus
PV = =
PV: Photovoltaic System WEC: Wind Energy Conversion System
Conventional Energy Sources
DG
WEC
~
= =
DG: Diesel Generator
Energy Storage BS: Battery System
AC Bus
~
RO
Static Power Pack
BS
= =
LOAD
Main Problem Volatility and Randomness of RES
Continuously Energy Demand
OPEN-GAIN DSS and Tools Actions Decision Making Phases
Feasibility Analysis Preliminary Design System Assessment Screening and Refinement Risk Assessment Evaluation
OPEN-GAIN DSS Actions
OPEN-GAIN Tools
Selection
Hybrid System Designer
Hybrid System Simulator
TradeOff Analyzer Risk Evaluato r
Multi Criteria Analyzer
OPEN-GAIN DSS Architecture User Interface OPEN-GAIN DSS Actions Database Manager
OPEN-GAIN Database
System Design
Performance Assessment
Sensitivity Analysis
Screening
Risk Analysis
Evaluation
Cases Manager
OPEN-GAIN Tools Hybrid System Designer
Hybrid System Simulator
Components Database
Trade-Off Analyzer
Risk Evaluator
Sites Database
Multi Criteria Analyzer
Configurations Library (Cases)
OPEN-GAIN DSS User Interface Main Form
Development • .NET Framework version 2 • Visual Basic.NET 2008 • AdoDB .NET • Microsoft Access 2007 • The software runs on Microsoft Windows
System Design Role: Defining the size of the units that compose the system Questions that answered Are the demands in energy and water coverable by the system? Which are the alternative configurations that cover the demand? What is the size of each unit? What is the cost of investment and operation? What is the environmental impact?
Decision Support System Données du site et de la configuration Sorties Classification croissante Selon un seul critère Cout Net Actuel (NPC)
Entrées
Caractéristiques des composants, ressources, couts, o t ai tes …
SEH 3( 41%WEC) [PV+E+GD] SEH2 (25% WEC)[PV+E+GD] SEH4 (100%WEC)[ E+GD] SEH1 (0 % WEC) [(PV+GD)]
Sortie Entrées
SEH 2( 25%WEC) [PV+E+GD] SEH 3 (41% WEC)[PV+E+GD] SEH4 (100%WEC)[ E+GD] SEH1 (0 % WEC) [(PV+GD)] Entrées SEH 2( 25%WEC) [PV+E+GD] SEH 3 (41% WEC)[PV+E+GD] SEH4 (100%WEC)[ E+GD] SEH1 (0 % WEC) [(PV+GD)]
SEH 2( 25%WEC) [PV+E+GD] SEH 3 (41% WEC)[PV+E+GD] SEH4 (100%WEC)[ E+GD] SEH1 (0 % WEC) [(PV+GD)]
Sortie Entrées
Sortie Entrées
43
9 8 7 6 5 4 3 2
00 :00 – 01 :00
01 :00 – 02 :00
05 :00 – 06 :00
07 :00 – 08 :00
08 :00 – 09 :00
09 :00 – 10 :00
17 :00 – 18 :00
18 :00 – 19 :00
20 :00 – 21 :00
21 :00 – 22 :00
22 :00 – 23 :00
16 :00 – 17 :00
14 :00 – 15 :00
19 :00 – 20 :00
4 kW RO Plant
20 kW Diesel
Mon
Wed time (days)
Thu
Estimated Water Demand
Tue
summer winter
Dump
11 kW Load
Sun
on/ off
P
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1.8
2
on/ off
flow (m3/h)
SI 5048x3
EMS
23 :00 – 00 :00
Fri
Sat
Burdj-Cedria (Tunisia) Latitude: 38°.42 North Longitude: 10°.25 East, Altitude 2 m, 480 inhabitants
OPEN-GAIN IWPP Prototype in Bordj-Cedria Tunisia
13 :00 – 14 :00
SMC 5000x3
12 :00 – 13 :00
PV
11 :00 – 12 :00
WB 6000x3
06 :00 – 07 :00
Daily total load
10 :00 – 11 :00
Proven 15 kW Wind Turbine
SI 5048x3 mode 15 :00 – 16 :00
GFM 185 27×3 Vm = 36.2V Im = 5.11 A Pm = 185W
02 :00 – 03 :00
03 :00 – 04 :00
04 :00 – 05 :00
Bordj-Cedria Site. Data (2008) and results
Ambient temperature
Wind speed
HOMER prefeasibility study
Solar Irradiance
Power Production RE Fraction Wind Turbine PV Diesel Genset Total Energy production (2008) Wind Turbine PV Diesel Genset Energy consumption LEC Exces electricity
Value 65.0 % 40.5 % 24.5 % 35.0 % 108,884 kWh/year
44,120 26,681 38,083 89,059
kWh/year kWh/year kWh/year kWh/year
0.277 $ / kWh 10.2 %
Hybridization of Diesel Power Plants in South Algeria
Arzew
M'Sila
Bnoud H. Messaoud BECHAR Béni Abbess
Talmine
Tabelbala Timimoun
Deb Deb El Golea B. O. driss
M'guiden
TINDOUF ADRAR Aoulef
Afra
Ain Belbel
ILLIZI B. El Haoues
IN SALAH
Tin alkoum DJANET Ideles
Centrale diesel TAMANRASSET
Centrale diesel + Gaz Point d'approvisionnement fuel centre de maintenance
B. B. Mokhtar
In Guezzam
Tindouf Diesel Power Plant Case study 11 diesel generator set of 1.9 MW each, Total installed capacity: 20.9 MW, with a guaranteed power generation of 16.3 MW.
Operation of the Tindouf diesel power plant constraints : -Fuel Supply from Arzew (1400 km far from the site). -Diesel Genset Transport (1600 km (M'sila) for repair or Maintenance operations). - Installed power capacity will be exceeded within 5 years
This constraints have prompted SONELGAZ company to conduct a feasibility study for Renewable energy Integration to Diesel power plants in South Algeria : •E su e st ess edu tio i ope atio ith i p o ed uality of service. •Redu e fuel o su ptio ith a i i izatio of the u e of of trucks supply frequency. •P o ote e e a le e e gy sola a d i d . •Mitigate GHGs e issio s CO2 f o po e ge e atio ..
Electricity consumption profile and Tindouf site data
5 m/s
2200 kWh/m2
HOMER HRES configuration
1st config
2nd config
3rd config
Size 4 MW 7 MW 17MW 5MW 5 MW
4 MW 15 MW 4 MW 5 MW 5 MW
4 MW 18 MW 3 MW 5MW 5MW
Components
PV Wind turbine MWT62 /Mitsubishi Diesel Power Plant Converter Inverter
Table.2 Annual electricity yield (kWh/year)
1st system Production
2nd system Fraction
Production
3rd system Frac.
Production
Frac.
Compon. (kWh/year) PV
7044975
(kWh/year)
(kWh/year)
8%
7044975
11%
7044975
11%
Wind Turbine 14213632
17%
30457744
47%
36549324
57%
Diesel plant
61741508
74%
27129334
42%
20149962
32%
Total
83000112
100%
64632056
100%
63744264
100%
1st system Pollutants
carbone dioxide
2nd system
3rd system
Emissions (kg/year)
71,909,624
24,989,072
18,483,792
177,499
61,682
45,625
unburned hydrocarbons
19,661
6,832
5,054
particules
13,381
4,65
3,439
144,407
50,182
37,119
1,583,835
550,393
407,112
carbone monoxide
sulfur dioxide Nitrogene oxides
LEC
1st configuration
2nd configuration
3rd configuration
Total present net worth
$ 245668272
$ 98492184
$ 73380312
LEC
$ 0.259/kWh
$ 0.140/kWh
$ 0.114/kWh
$ 19146866 /year
$ 7600616 /year
$ 5623387 /year
Operation costs
Integration of Renewable Energy to Tala Oulili Desalination plant: 2500 m3/ day
4000 3500 3000 2500 2000 1500 1000 500 0 Janvier Février Mars Avril Mai Juin Juillet Aout Septembre Octobre Novembre Décembre
TDS (mg/l) conductivité (μs/cm)
CONCLUSION •
The use of hybrid systems for energy production is justified on many levels: technical feasibility, economic viability and above the obvious environmental benefit offered by this alternative, especially for rough and isolated site.
•
Concerning the environment impact, the fraction of the energy produced by renewable resources is more than half of total production, which significantly reduces the amount of fuel use and consequently reduce emissions of polluting gases. This reduction is 61.2% for CO2 and NOx.
•
Economically, the specific cost of energy and the annual cost of the installation are more important in a conventional system (diesel only) than in the hybrid system. On the other hand, the use of such installation is strongly linked to the available potential of renewable energy, which justifies the presence of Diesel genset in all possible configurations, this means that Renewable energy alone does not guarantee the satisfaction of demand at any time of year, especially for autonomous systems.
Thanks for Attention
Richest 300 Persons on Earth Have More Money Than Poorest 3 Billion
Kamal Mohammedi MESOnexusteam, UMBB
[email protected]
