Projects: Projects for Investigator |
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Reference Number | EP/R035822/1 | |
Title | Catalysing energy access in Africa through smarter energy storage management | |
Status | Completed | |
Energy Categories | Other Power and Storage Technologies(Energy storage) 100%; | |
Research Types | Basic and strategic applied research 100% | |
Science and Technology Fields | PHYSICAL SCIENCES AND MATHEMATICS (Chemistry) 25%; PHYSICAL SCIENCES AND MATHEMATICS (Applied Mathematics) 50%; PHYSICAL SCIENCES AND MATHEMATICS (Computer Science and Informatics) 25%; |
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UKERC Cross Cutting Characterisation | Not Cross-cutting 50%; Sociological economical and environmental impact of energy (Other sociological economical and environmental impact of energy) 50%; |
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Principal Investigator |
Dr D (David ) Howey No email address given Engineering Science University of Oxford |
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Award Type | Standard | |
Funding Source | EPSRC | |
Start Date | 01 April 2018 | |
End Date | 31 March 2019 | |
Duration | 12 months | |
Total Grant Value | £98,450 | |
Industrial Sectors | Energy | |
Region | South East | |
Programme | Energy : Energy | |
Investigators | Principal Investigator | Dr D (David ) Howey , Engineering Science, University of Oxford (100.000%) |
Web Site | ||
Objectives | ||
Abstract | This project enables the remote, automated management of distributed off-grid batteries powering solar home systems throughout sub-Saharan Africa. The research has two objectives: to examine solar home system (SHS) usage data to design smarter appliances for off-grid customers; and to optimise lithium ion battery (LIB) lifetime. M-KOPA collects daily usage data from >500,000 households in sub-Saharan Africa (SSA), however, there is a gap in effective use of the data for product management and design excellence. Using data science tools and machine learning algorithms, M-KOPA will develop approaches to maximise product battery life, and design smarter appliances. These tools will decrease the premature LIB failure rate (one of M-KOPA's greatest challenges). Oxford University will design battery failure prediction algorithms to increase the longevity, effectiveness, and reliability of future LIBs for off-grid customers. Thus, this project targets all three aspects of the energy trilemma: reducing emissions through increased life of LIBs in SSA, cost savings through optimal product design, and security of energy supply from more reliable SHS. | |
Publications | (none) |
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Final Report | (none) |
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Added to Database | 14/09/18 |