1. Home
  2. Resilient Electricity Networks for a productive Grid Architecture (RENGA)
DEPARTMENT FOR BUSINESS, ENERGY & INDUSTRIAL STRATEGY

Resilient Electricity Networks for a productive Grid Architecture (RENGA)

IATI Identifier: GB-GOV-13-FUND--GCRF-EP_R030235_1
Project disclaimer
Disclaimer: The data for this page has been produced from IATI data published by DEPARTMENT FOR BUSINESS, ENERGY & INDUSTRIAL STRATEGY. Please contact them (Show Email Address) if you have any questions about their data.

Description

Electricity access is widely acknowledged as one of the key enablers of human development. Bringing electricity to low income areas in the developing world involves great technical, geopolitical and socioeconomic challenges. In recent years, autonomous electricity supply systems (AESS) have found a role in replacing kerosene lamps and candles as sources for basic lighting. However, their power rating was too low to power even small machinery, which made them have very little impact on the way people produce goods. According to the well-established power systems planning paradigm, the way to enable electricity access suitable for more productive applications is to build new transmission corridors to ship power from large power plants to isolated areas where it will be distributed using regional distribution networks. While this approach proved successful in the mid twentieth century, it often incurs prohibitive costs that make such projects infeasible in developing countries. One of the main issues of the old paradigm is that it misses the opportunity to use distributed energy resources (ie small scale generation, energy storage, etc) available today to drive the costs down and achieve better energy supply. The aim of this project is to bring some light over this matter by investigating a new approach where the electrical network would start from the local interconnection of small scale AESS. This ambitious goal will require the investigation of a suitable technological solution to link multiple AESS together, the development of new tools that are suitable to optimise the operation and planning of a network of interconnected AESS with models of demand and generation tailored for rural electrification applications. The work will use Rwanda as the main study case with the cooperation of the University of Rwanda, that will provide support for the derivation of models and will study and characterise the most interesting productive uses of electricity to meet the specific needs in rural Rwanda. The work will also be carried in collaboration with BBOXX and Meshpower, two British companies started by alumni of Imperial College London that commercialise AESS in several countries around the world including Rwanda.

Objectives

The Global Challenges Research Fund (GCRF) supports cutting-edge research to address challenges faced by developing countries. The fund addresses the UN sustainable development goals. It aims to maximise the impact of research and innovation to improve lives and opportunity in the developing world.


Location

The country, countries or regions that benefit from this Programme.
Rwanda
Disclaimer: Country borders do not necessarily reflect the UK Government's official position.

Status Post-completion

The current stage of the Programme, consistent with the International Aid Transparency Initiative's (IATI) classifications.

Programme Spend

Programme budget and spend to date, as per the amounts loaded in financial system(s), and for which procurement has been finalised.

Participating Organisation(s)

Help with participating organisations

Accountable:Organisation responsible for oversight of the activity

Extending: Organisation that manages the budget on behalf of the funding organisation.

Funding: Organisation which provides funds.

Implementing: Organisations implementing the activity.

Sectors

Sector groups as a percentage of total Programme budget according to the OECD Development Assistance Committee (DAC) classifications.

Budget

A comparison across financial years of forecast budget and spend to date on the Programme.

Download IATI Data for GB-GOV-13-FUND--GCRF-EP_R030235_1