Solar Resource Mapping Republic of Maldives Supporting Strategic Planning and Commercial Development by Investing in Global Public Goods Ministry of Environment
Solar Resource Mapping Republic of Maldives
Supporting Strategic Planning and Commercial Development by Investing in Global Public Goods
Ministry of Environment
Preliminary modelling and planning of Phase 2: Project inception and stakeholder
engagement; preparation of initial solar resource and meteorological data
calculated by satellite-based and meteorological models; preliminary validation
using ground-based data available in a wider region; preparation of Phase 2.
Ground-based data collection for two years: Implementation of a ground-
based measurement campaign using high quality instruments, with regular data
transmission and reporting, for the purpose of validating and improving the initial
solar models and for generating reliable high-resolution solar and meteorological
data for any site in the Maldives.
Production of validated solar resource atlas: Preparation of validated solar resource
data and maps. The report Solar Atlas of Maldives describes the methodology and
the findings of the project.
Phase 1 / 2015Interim resource assessment based on satellite-data analysis and global datasets
Phase 2 / 2016—2018Solar measurement campaign to validate and improve interim resource assessment
Phase 3 / 2018Publication of validated resource atlas and accompanying datasets
Project Scope and Methods
Solargis data vs ground measurements GIS data layers
Project Timeline
Our team during the installation campaign
Cross-comparison of the modeled and ground-measured data: 1-minute and 30-minute aggregations (Hulhule, 24 months) Visualisation of DNI data in Google Earth software
Pyranometer Hukseflux SR20 Fully equipped station
Example of the quality control of the measured data (Hanimadhoo, DNI, RSP, Jan 2016 — Dec 2017)
passed
physical limit low
visual check partial
sun below horizon
Knowledge exchange
Global Horizontal IrradiationGlobal horizontal irradiation (GHI) represents a total
amount of shortwave radiation received by a horizontal
surface. It is considered as a solar resource reference and
enables comparing individual sites or regions. It is the
most important parameter for energy yield calculation
and performance assessment of flat-plate photovoltaic
(PV) technologies.
20 km
Overview of GHI at four solar meteorological stations
Han
imaa
dhoo
Hul
hulé
Kad
hdho
oG
an
1
2
3
4
3.0
4.0
5.0
6.0
7.0
8.0
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Lo
ng
-te
rm a
vera
ge
of
GH
I d
aily
to
tals
[k
Wh
/m2
]
Interannual variability
Long-term monthly averages, minima and maxima
4.0
4.5
5.0
5.5
6.0
19
99
20
00
20
01
20
02
20
03
20
04
20
05
20
06
20
07
20
08
20
09
20
10
20
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20
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20
15
20
16
20
17 A
vera
ge
da
ily
tota
ls o
f G
HI
[kW
h/m
2]
Year
Comparison of long-term average of daily totals: original and regionally-adapted values
Hanimaadhoo
Hulhulé
Kadhdhoo
Gan
Original[kWh/m2]
5.58
5.64
5.65
5.65
Adapted[kWh/m2]
5.51
5.55
5.57
5.62
Difference[%]
-1.3
-1.6
-1.4
-0.5
Solar meteorological station
5.5 5.6
2008 2045
kWh/m²
Daily totals
Yearly totals
Map of GHI long-term average (period 1999-2017)
Direct Normal Irradiation
3.9 4.1 4.3 4.5
1424 1497 1570 1643
kWh/m²
Daily totals
Yearly totals
Direct normal irradiation (DNI) is the amount of solar
radiation from the direction of the sun. It is the most
important parameter for energy yield calculation and
performance assessment of concentrating solar power
and concentrating solar photovoltaic technologies. DNI
is also important for the calculation of global irradiation
received by tilted or sun-tracking photovoltaic modules.
20 km
Han
imaa
dhoo
Hul
hulé
Kad
hdho
oG
an
1
2
3
4
1.0
2.0
3.0
4.0
5.0
6.0
7.0
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Lo
ng
-te
rm a
vera
ge
of
DN
I da
ily t
ota
ls[k
Wh
/m2
]
3.0
3.5
4.0
4.5
5.0
19
99
20
00
20
01
20
02
20
03
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15
20
16
20
17 A
vera
ge
da
ily
tota
ls o
f D
NI
[kW
h/m
2]
Year
Overview of DNI at four solar meteorological stations
Interannual variability
Long-term monthly averages, minima and maxima
Comparison of long-term average of daily totals: original and regionally-adapted values
Map of DNI long-term average (period 1999-2017)
Hanimaadhoo
Hulhulé
Kadhdhoo
Gan
Original[kWh/m2]
4.22
4.47
4.63
4.70
Adapted[kWh/m2]
3.96
4.11
4.28
4.41
Difference[%]
-6.2
-8.1
-7.6
-6.2
Solar meteorological station
ResultsThe data measured at four solar meteorological stations contrib-uted substantially to understanding of solar resource availability and variability in Maldives. The measurements also helped to improve accuracy of the solar model in the region. Now, the model can produce more accurate solar and meteorological data for any location. The overall uncertainty of yearly values for the most of territory of Maldives has been reduced from the original ±6% to ±3.5% for global horizontal irradiation (GHI), and from ±12% to ±6% for direct normal irradiation (DNI), respectively. Complete set of measurements is publicly available for download. For each site, collocated with the solar merteorological stations, a set
of historical time series representing a period of 1999 to 2017 is calculated by the accuracy-enhanced models. The model data outputs include also TMY for P50 and P90 probabilities of exceedance. The procedures and results are documented in the consultancy reports, and have been supported by workshops.
Map data sources: Solar resource database © 2018 Solargis • Topo data provided by Government of Maldives, 2015 • Solargis database version: 2.1 • Map issue date: 2018-09-27. Copyright © 2018 Solargis. Disclaimer: Considering the nature of climate fluctuations, interannual and long-term changes, as well as the uncertainty of measurements and applied methods, Solargis does not take any responsibility whatsoever, and does not give any warranty on the accuracy of the data that were used to produce this map. Solargis has done its utmost to assess climate conditions based on the best available data, software, and knowledge. It is recommended that this map be used as a guideline rather than an instrument for building the solar power systems. All rights reserved. No part of this publication may be reproduced, stored in a retrieval system or transmitted in any form or by any means without the prior written permission of the copyright owner.
Malé, the capital of Maldives, with the position of Hulhulé solar meteorological station
The Republic of Maldives has no conventional resources of energy. Providing electricity to the dispersed islands is overwhelmingly dependent on imported diesel fuel. Supporting the development of renewable energy (RE) contributes to longer term goals including the World Bank’s twin corporate goals of (i) eliminating extreme poverty by 2030 and (ii) boosting shared prosperity. The Government of Maldives is aware of environmental degra-dation as a result of the heavy dependence on diesel fuel and global warming.
The improved quality of available information on RE resources in the Maldives by developing solar resource maps and models as one of the priority renewables will (i) provide a detailed assessment and geospatial planning framework for RE resources in the Maldives, (ii) increase the awareness and knowledge of the Government and other energy sector players on RE potential, and (iii) encourage new public and private sector investments in RE projects.
Technical reports, online data access and more informationesmap.org/re_mapping_maldivesglobalsolaratlas.info/downloads/maldivesenergydata.info
2 Hulhulé
OriginalAfter regional
adaptationTheoretically
best-achievable
Global Horizontal Irradiation GHI ±6.0% ±3.5% ±2.5%
Direct Normal Irradiation DNI ±12.0% ±6.0% ±3.5%
AcronymLong-term annual estimates
Uncertainty of the Solargis model
About
This leaflet presents results from the World Bank’s Solar Resource Mapping project in Maldives.
The project is funded by the Energy Sector Management
Assistance Program (ESMAP), under a global initiative
in support of renewable energy resource assessment
and mapping, together with the Asia Sustainable and
Alternative Energy Program (ASTAE), both administered
by the World Bank and supported by bilateral donors.
The Solar Resource Mapping project in Maldives has been
developed in a close coordination with the Ministry of Environment (previously Ministry of Environment and
Energy) of Maldives, the World Bank’s primary country
counterpart for this project.
Under the project, a solar and meteorological
measurement campaign was carried out on four
meteorological sites for a period of two years with the
aim of reducing the uncertainty and improving the
accuracy of solar resource models in the Maldives. The
results are presented in the country-wide regionally
adapted satellite-based solar model. The data and maps
with improved accuracy can be used for knowledge-based
decision making for solar energy investments in Maldives.
The results will also be uploaded into the Global Solar
Atlas.
World Bank GroupThe World Bank Group is one of the world’s largest sources of funding and knowledge for developing countries. Its five institutions share a commitment to reducing poverty, increasing shared prosperity, and promoting sustainable development.
ESMAPESMAP is a partnership between the World Bank Group and its 18 partners to help low and middle income countries reduce poverty and boost growth, through environmentally sustainable energy solutions.
MAIN CONTRACTOR Solargis s.r.o.Mytna 48, 81107 [email protected]
SUBCONTRACTORSuntrace GmbHGrosse Elbstrasse 145c 22767 HamburgGermany
Solar Resource Mapping
Project results can be consulted also on globalsolaratlas.info and energydata.info websites
LOCAL PARTNER Renewable Energy Maldives Pvt. Ltd.REM Showroom, G. Fus Hadheebee MaguMale 20086Republic of Maldives
SolargisSolargis is an international consultancy and technology company in the field of solar resource and photovoltaic energy assessment. The company has been leading the execution of Solar Resource Mapping project in Maldives, in cooperation with the subcontractor Suntrace and the local partner Renewable Energy Maldives, who were responsible for solar measurement campaign.