Analyzing sub-optimal rural microgrids and methods for improving the system capacity and demand factors

filibaba microgrid case study examined

Nirupama Prakash Kumar, Likonge Makai, Mahekdeep Singh, Henrietta Cho, Peter Dauenhauer, Joseph Mutale

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

1 Citation (Scopus)
1 Downloads (Pure)

Abstract

Solar energy kiosks in developing countries are commonly designed with battery storage as daytime energy production does not coincide with an evening peak consumption. Curtailment of excess solar energy production can occur when current load and battery storage charging is not high enough during peak solar generation hours. Valuation of the options for coping with this phenomena, after a system is already built, is important for kiosk operators to continue to improve technical and economic performance. Furthermore, little real-world data is available to analyze the extent and impact of this issue, much less the available decisions for the manager of such systems when it occurs. This paper analyzes some of these phenomena and the decisions that kiosk operators can make to improve such performance. Furthermore it analyzes data-sets from a 1.8 kW solar-battery energy kiosk in rural Filibaba, Zambia to determine the level of lost energy production/curtailing that occurred in that system. Finally, potential strategies, including demand response strategies are proposed to both increase as well as shift consumption to daytime hours and ultimately increase the capacity factor of the system. Such strategies could potentially help reduce the lost production of almost 1.7MWh that was witnessed in 11 months of system usage. These strategies could also increase the revenue of the system by approx. US$810 annually. Such strategies include pricing incentives, manual demand response, and system re-design options. In the general context of operations of rural solar kiosks, this work advocates for the need to continuously improve operational as well as hardware strategy based on field-evidence.

Original languageEnglish
Title of host publication2017 IEEE Global Humanitarian Technology Conference
Place of PublicationPiscataway, NJ
PublisherIEEE
Number of pages8
ISBN (Electronic)9781509060467
DOIs
Publication statusPublished - 25 Dec 2017
Event7th IEEE Global Humanitarian Technology Conference, GHTC 2017 - San Jose, United States
Duration: 19 Oct 201722 Oct 2017

Conference

Conference7th IEEE Global Humanitarian Technology Conference, GHTC 2017
CountryUnited States
CitySan Jose
Period19/10/1722/10/17

Fingerprint

Solar Energy
demand
energy production
Solar energy
Zambia
solar energy
valuation
hardware
Developing Countries
Motivation
incentive
developing world
Economics
Developing countries
Costs and Cost Analysis
Solar cells
Managers
Hardware
economics
energy

Keywords

  • demand response
  • hardware optimization
  • operational optimization
  • rural microgrid systems
  • solar systems

Cite this

Kumar, N. P., Makai, L., Singh, M., Cho, H., Dauenhauer, P., & Mutale, J. (2017). Analyzing sub-optimal rural microgrids and methods for improving the system capacity and demand factors: filibaba microgrid case study examined. In 2017 IEEE Global Humanitarian Technology Conference Piscataway, NJ: IEEE. https://doi.org/10.1109/GHTC.2017.8239304
Kumar, Nirupama Prakash ; Makai, Likonge ; Singh, Mahekdeep ; Cho, Henrietta ; Dauenhauer, Peter ; Mutale, Joseph. / Analyzing sub-optimal rural microgrids and methods for improving the system capacity and demand factors : filibaba microgrid case study examined. 2017 IEEE Global Humanitarian Technology Conference . Piscataway, NJ : IEEE, 2017.
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abstract = "Solar energy kiosks in developing countries are commonly designed with battery storage as daytime energy production does not coincide with an evening peak consumption. Curtailment of excess solar energy production can occur when current load and battery storage charging is not high enough during peak solar generation hours. Valuation of the options for coping with this phenomena, after a system is already built, is important for kiosk operators to continue to improve technical and economic performance. Furthermore, little real-world data is available to analyze the extent and impact of this issue, much less the available decisions for the manager of such systems when it occurs. This paper analyzes some of these phenomena and the decisions that kiosk operators can make to improve such performance. Furthermore it analyzes data-sets from a 1.8 kW solar-battery energy kiosk in rural Filibaba, Zambia to determine the level of lost energy production/curtailing that occurred in that system. Finally, potential strategies, including demand response strategies are proposed to both increase as well as shift consumption to daytime hours and ultimately increase the capacity factor of the system. Such strategies could potentially help reduce the lost production of almost 1.7MWh that was witnessed in 11 months of system usage. These strategies could also increase the revenue of the system by approx. US$810 annually. Such strategies include pricing incentives, manual demand response, and system re-design options. In the general context of operations of rural solar kiosks, this work advocates for the need to continuously improve operational as well as hardware strategy based on field-evidence.",
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Kumar, NP, Makai, L, Singh, M, Cho, H, Dauenhauer, P & Mutale, J 2017, Analyzing sub-optimal rural microgrids and methods for improving the system capacity and demand factors: filibaba microgrid case study examined. in 2017 IEEE Global Humanitarian Technology Conference . IEEE, Piscataway, NJ, 7th IEEE Global Humanitarian Technology Conference, GHTC 2017, San Jose, United States, 19/10/17. https://doi.org/10.1109/GHTC.2017.8239304

Analyzing sub-optimal rural microgrids and methods for improving the system capacity and demand factors : filibaba microgrid case study examined. / Kumar, Nirupama Prakash; Makai, Likonge; Singh, Mahekdeep; Cho, Henrietta; Dauenhauer, Peter; Mutale, Joseph.

2017 IEEE Global Humanitarian Technology Conference . Piscataway, NJ : IEEE, 2017.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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N1 - © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

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