Using modeling, satellite images and existing global datasets for rapid preliminary assessments of renewable energy resources: The case of Mali

Ivan Nygaard, K. Rasmussen, Jake Badger, T.T. Nielsen, L.B. Hansen, S. Stisen, Søren Ejling Larsen, A. Mariko, I. Togola

    Research output: Contribution to journalJournal articleResearchpeer-review

    Abstract

    This paper presents a novel approach to the preliminary, low-cost, national-scale mapping of wind energy, solar energy and certain categories of bio-energy resources in developing countries, using Mali as an example. The methods applied make extensive use of satellite remote sensing and meteorological mesoscale modeling. The paper presents first results from applying the methodology in Mali and discusses the appropriateness of the results obtained. It is shown that northern Mali has considerable wind energy potential, while average wind speeds in the southern part are too low to make wind power a competitive option. Solar energy resources are shown to be abundant in all of Mali, though the highest values are found in the south. The temporal variation is relatively limited. Bio-energy resources are also concentrated in the south, but there are small pockets of high vegetation productivity in the irrigated areas of the Niger inland delta that might be interesting from a renewable energy resource perspective. Finally, the paper discusses the role that renewable energy resources might play in the energy systems of Mali, given the spatio-temporal distribution of renewable energy resources. It is argued that at the current price of about 70 US$/barrel for fossil fuels, renewable energy resources are becoming economically as well as environmentally attractive options.
    Original languageEnglish
    JournalRenewable & Sustainable Energy Reviews
    Volume14
    Issue number8
    Pages (from-to)2359-2371
    ISSN1364-0321
    DOIs
    Publication statusPublished - 2010

    Keywords

    • Wind power meteorology
    • Wind Energy

    Cite this

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    title = "Using modeling, satellite images and existing global datasets for rapid preliminary assessments of renewable energy resources: The case of Mali",
    abstract = "This paper presents a novel approach to the preliminary, low-cost, national-scale mapping of wind energy, solar energy and certain categories of bio-energy resources in developing countries, using Mali as an example. The methods applied make extensive use of satellite remote sensing and meteorological mesoscale modeling. The paper presents first results from applying the methodology in Mali and discusses the appropriateness of the results obtained. It is shown that northern Mali has considerable wind energy potential, while average wind speeds in the southern part are too low to make wind power a competitive option. Solar energy resources are shown to be abundant in all of Mali, though the highest values are found in the south. The temporal variation is relatively limited. Bio-energy resources are also concentrated in the south, but there are small pockets of high vegetation productivity in the irrigated areas of the Niger inland delta that might be interesting from a renewable energy resource perspective. Finally, the paper discusses the role that renewable energy resources might play in the energy systems of Mali, given the spatio-temporal distribution of renewable energy resources. It is argued that at the current price of about 70 US$/barrel for fossil fuels, renewable energy resources are becoming economically as well as environmentally attractive options.",
    keywords = "Wind power meteorology, Wind Energy, Vindkraftmeteorologi, Vindenergi",
    author = "Ivan Nygaard and K. Rasmussen and Jake Badger and T.T. Nielsen and L.B. Hansen and S. Stisen and Larsen, {S{\o}ren Ejling} and A. Mariko and I. Togola",
    year = "2010",
    doi = "10.1016/j.rser.2010.04.001",
    language = "English",
    volume = "14",
    pages = "2359--2371",
    journal = "Renewable & Sustainable Energy Reviews",
    issn = "1364-0321",
    publisher = "Pergamon Press",
    number = "8",

    }

    Using modeling, satellite images and existing global datasets for rapid preliminary assessments of renewable energy resources: The case of Mali. / Nygaard, Ivan; Rasmussen, K.; Badger, Jake; Nielsen, T.T.; Hansen, L.B.; Stisen, S.; Larsen, Søren Ejling; Mariko, A.; Togola, I.

    In: Renewable & Sustainable Energy Reviews, Vol. 14, No. 8, 2010, p. 2359-2371.

    Research output: Contribution to journalJournal articleResearchpeer-review

    TY - JOUR

    T1 - Using modeling, satellite images and existing global datasets for rapid preliminary assessments of renewable energy resources: The case of Mali

    AU - Nygaard, Ivan

    AU - Rasmussen, K.

    AU - Badger, Jake

    AU - Nielsen, T.T.

    AU - Hansen, L.B.

    AU - Stisen, S.

    AU - Larsen, Søren Ejling

    AU - Mariko, A.

    AU - Togola, I.

    PY - 2010

    Y1 - 2010

    N2 - This paper presents a novel approach to the preliminary, low-cost, national-scale mapping of wind energy, solar energy and certain categories of bio-energy resources in developing countries, using Mali as an example. The methods applied make extensive use of satellite remote sensing and meteorological mesoscale modeling. The paper presents first results from applying the methodology in Mali and discusses the appropriateness of the results obtained. It is shown that northern Mali has considerable wind energy potential, while average wind speeds in the southern part are too low to make wind power a competitive option. Solar energy resources are shown to be abundant in all of Mali, though the highest values are found in the south. The temporal variation is relatively limited. Bio-energy resources are also concentrated in the south, but there are small pockets of high vegetation productivity in the irrigated areas of the Niger inland delta that might be interesting from a renewable energy resource perspective. Finally, the paper discusses the role that renewable energy resources might play in the energy systems of Mali, given the spatio-temporal distribution of renewable energy resources. It is argued that at the current price of about 70 US$/barrel for fossil fuels, renewable energy resources are becoming economically as well as environmentally attractive options.

    AB - This paper presents a novel approach to the preliminary, low-cost, national-scale mapping of wind energy, solar energy and certain categories of bio-energy resources in developing countries, using Mali as an example. The methods applied make extensive use of satellite remote sensing and meteorological mesoscale modeling. The paper presents first results from applying the methodology in Mali and discusses the appropriateness of the results obtained. It is shown that northern Mali has considerable wind energy potential, while average wind speeds in the southern part are too low to make wind power a competitive option. Solar energy resources are shown to be abundant in all of Mali, though the highest values are found in the south. The temporal variation is relatively limited. Bio-energy resources are also concentrated in the south, but there are small pockets of high vegetation productivity in the irrigated areas of the Niger inland delta that might be interesting from a renewable energy resource perspective. Finally, the paper discusses the role that renewable energy resources might play in the energy systems of Mali, given the spatio-temporal distribution of renewable energy resources. It is argued that at the current price of about 70 US$/barrel for fossil fuels, renewable energy resources are becoming economically as well as environmentally attractive options.

    KW - Wind power meteorology

    KW - Wind Energy

    KW - Vindkraftmeteorologi

    KW - Vindenergi

    U2 - 10.1016/j.rser.2010.04.001

    DO - 10.1016/j.rser.2010.04.001

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    JO - Renewable & Sustainable Energy Reviews

    JF - Renewable & Sustainable Energy Reviews

    SN - 1364-0321

    IS - 8

    ER -