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Presentation of the UAE solar Atlas by Masdar Institute http://atlas.masdar.ac.ae/
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Dr. Hosni Ghedira, Center Director
The Research Center for Renewable Energy Mapping and Assessment at Masdar Institute
IRENA-KISR joint workshop on renewable energy in the GCCKISR, Kuwait
June 10th, 2013
Vision
The Research Center for Renewable Energy Mapping and Assessment aims to develop regional knowledge and leadership in renewable energy assessment and mapping for the Arabian Peninsula and countries with similar climate (mainly in Africa).
To become a pivotal hub for advancing research and innovation in tackling the challenge of estimating solar potential for arid and dusty environments.
Key skills:• Satellite data management and processing• Solar radiation modelling• Ground data analysis, data mining and quality control• High performance computing • Machine learning and statistical modelling• Solar irradiance measurements• Real-time remote sensing• Software development and programming• Solar technology assessment• GIS and Map-server development• Artificial intelligence• Climatology and Atmospheric Science
3x Faculty Members
8x Postdoctoral Researchers
5x Research Engineers
8x Research Assistants
2x Visiting Scientists
• Receiving the mandate from the UAE Government to develop the UAE solar atlas. The atlas was successfully launched in June 2012 at Rio+20 Conference in Rio de Janeiro.
• After two years of operation, the Center has succeeded to gain international recognition as a pivotal hub for advancing research and innovation in tackling the challenge of estimating solar potential for arid and dusty environments.
• The Center has succeeded in developing regional knowledge and leadership in renewable energy assessment and mapping for the Arabian Peninsula and countries with similar climate.
Key Milestones
• Playing a key role in the Global Solar and Wind Atlas initiative. The Center is one of the co-developers of the Global Atlas application (with NREL, DLR and ParisTech).
• Hosting the Global Atlas Application at Masdar Institute Data Center. The Global atlas servers are presently hosted at our Data Center; operated and maintained by the Center engineers.
• Developing and setting up a first-of-a-kind real time solar mapping tool producing solar maps at 15-min intervals.
• Starting two new flagship projects: (1) Solar resource forecasting and (2) solar technology simulation in desert environment
Key Milestones
– Satellite ground station receiving real-time data from several European and US satellites.
– 200 Tb storage system.– State-of-the-art capability in satellite image
processing – Real time monitoring and visualization system – Portable wind profilers (200-m ZephIR 300 LIDAR
Systems)
Center Facilities:
Earth Lab at Masdar Institute
Urban Remote Sensing Lab at Masdar Institute
Solar Mapping Tool
UAE Solar Atlas Maps: Final Results
UAE Solar Atlas Maps: Final Results
Real time Solar Mapping Tool
Continuous Validation of the Solar Mapping Model
Our recent Publications
Global Solar and Wind Resource Atlas ReCREMA is one of the key developers of the Global Solar and Wind Atlas tool, with our research partners from ParisTech (France), DLR (Germany) and NREL (USA). The atlas is presently hosted and maintained at our Center. It can be accessed at http://irena.masdar.ac.ae. The Global Atlas was launched officially during IRENA’s 3rd General Assembly held in Abu Dhabi on January 13, 2013.
http://irena.masdar.ac.ae
Became a Full Member of Desertec University Network in March 2013
Performance Modeling of Solar Power Systems
Technical Performance Modeling
Solar Power Technology AssessmentAssessment of solar energy potential is the primary application of the UAE Solar Atlas.Objectives:
Performance modelling of solar power technologies Simulation and integration in the atlas Assessment of the economic potential
Technical Performance Modeling
Design of technical performance models for mainstream commercial PV and CSP technologies with spatial and technological parameters as input variables
Economic Potential Assessment
Economic assessment based on the technical performance simulationAdditional parameters:
Spatial variables Technological variables
• Land acquisition cost• Grid infrastructure cost• Road infrastructure cost• Power demand• Land preparation cost• Transportation cost
• Capital cost• Installation cost• Operation and maintenance cost• Maintenance time• Operating life• Integrated CSP storage cost
Simulation
• Optimum tilt layers (PV)• Design variation layers
– mounting tilt (PV)– tracking option (PV)– array to inverter ratio (PV)– solar multiple (CSP)– storage capacity (CSP)
• Performance indicator layers– energy output [kWh]– specific yield [kWh/kWp]– capacity factor [%]– performance ratio [%]
Effect of desert-induced soiling on DNI sensor
• Dew data was retrieved from leaf wetness sensor (LWS) installed at Masdar Field Station, Masdar City for a year to study seasonal trend
• Solar zenith angles of ≤90° represent day-light period• It can be inferred that dew condensation begins at night but continues until few hours
after sunrise esp. from as early as October to as late as March.
Effect of desert-induced soiling on DNI sensor
Design Limitations: Absence of ventilation Rain-shield locks the dust It also partially prevents exposure to wind for
quick dew evaporation Surface area to sensor ratio: only a few dew
drops cover entire sensor glass pane significantly affecting transmittance
Slide 30
Heavy Dusty DayFeb. 12, 2009
12:15 PM (UAE time)
Al Aradh
Madinat Zayed
RGB composite image captured on March 19, 2012 (EOHCL, Masdar Institute)
Satellite-based dust monitoring tool
Real-Time Monitoring of Dust Sources in the Region
inputs : atmospheric constituents modelling propagation expected accuracy for Middle-East:
B
I0
targetOCEAN, GROUND
ATMOSPHERE
absorption
scattering
SPACE
reflection
Atmospheric parameters
Global irradiance (GHI)
Direct irradiation (DNI)
Hourly Below 12 % Below 20 %
Daily Below 8 % Below 10 %
Monthly Below 5 %
Additional benefit: can model spectral composition of irradiance
32
Physics-based solar resource modelling
33 Solar Resource Assessment
• Station AD1 in operation close to Shams since Q1 2012
Irradiance monitoring
Dust source distribution expressed as grid erodible fraction (0.0-1.0) from TOMS 1-deg dataset
U.S. Navy’s Coupled Ocean-Atmospheric Mesoscale Prediction System (COAMPS)
56-h
For
ecas
ts o
f Dus
t Mas
s Lo
ad
Sat
ellit
e Im
age
of D
ust P
lum
es
W
eath
er M
ap
Solar Resource Forecasting in Arid Regions
Saturday, April 8, 2023
The assessment of thermal trends of Abu Dhabi City (UAE) has shown the opposite, where
downtown areas appeared colder compared to the suburbs, especially in the hottest months.
-Presence of vegetation in the urban area-Shadowing effect-Wind channeling effect-Construction Material
URBAN THERMOGRAPHYABU DHABI CITY
PREVIOUS STUDY ON ABU DHABI
Downtown areas appear colder compared to the suburbs during the day
Day
Lazzarini, M., Marpu, P.R., & Ghedira, H. Temperature-land cover interactions: the inversion of Urban Heat Island phenomenon in desert city areas. Remote Sensing of Environment, 130, pp. 136-152. 2013.
AirT: Air TemperatureSST: Sea Surface Temperature
PREVIOUS STUDY ON ABU DHABI
- Negative trend of vegetation in downtown area (left);- -clear presence of vegetation only in downtown area, with a stress condition
during summer (right).
Vegetation Analysis
ASTER maps of LST, land cover and ISA percentage (Summer, 2008)
ASTER maps of LST, land cover and ISA percentage (Winter, 2000)
Thermal Mapping (Abu Dhabi)
Saturday, April 8, 2023
THERMAL MAPPING
Al Safa Park Shows a lower temperature
respect to the surrounding areas
(buildings, asphalt and sand)
Saturday, April 8, 2023
REGIONAL PROJECT: LAND SURFACE TEMPERATURE
FOR THE EMIRATES
LST product from METEOSAT is generated every 15 minutes with a resolution between 3-4 km
THANK YOU!