eC2: Achieving Energy Access through Off-Grid Solar: The Use of Public Funding

Deadline: 22-Apr-2020 at 11:59:59 PM (Eastern Time – Washington D.C.)Solar-street-lights-in-Guinea1

The World Bank Group under the Lighting Global Team is seeking to hire a firm to support the publication of a working paper that will provide in-depth technical advice and guidance regarding different ways in which public funding can be deployed to support uptake of off-grid solar. Based on case studies and key informant interviews with development professionals and public officials, it will identify the advantages, disadvantages, risks and opportunities involved in each approach. The paper will present, two broad categories of public funding mechanisms supply side and demand side. The main public funding mechanisms to be presented in the working paper are expected to include: tax exemptions, grants, RBF, concessional financing, credit guarantees, and various demand-side subsidies. The key deliverable will be critical inputs to the working paper itself., working closely with the Lighting Global team.

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eC2: Madagascar: Off-Grid Solar Market Assessment and Design Options

Deadline: 12-Jul-2017 at 11:59:59 PM (Eastern Time – Washington D.C.) scaling+solar+main+banner

(i) Projecting likely grid access rates over the medium-term (by leveraging information on current and expected electric grid coverage), and subsequently mapping out areas that will need to be served by off-grid solutions; (ii) Estimating the size of the potential commercial off-grid market through countrywide household and SME surveying focused on ability and willingness to pay for electricity service and/or off-grid solar products; (iii) Stocktaking on institutional electricity access, including the number, variety, and location of institutions that are off the grid and their likely electricity needs going forward; and (iv) Identification of barriers/risks across the local off-grid solar value chain, and a review of the regulatory structure as it pertains to the products and range of distribution models.

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