Low-cost metering solutions for rural micro-grids and urban central grid utilities.
SparkMeter offers comprehensive low-cost metering solutions for everything from rural micro-grids to existing urban central grid utilities. For remote monitoring and managing the meters, the system includes basic wireless internet connection at the sites.
Sparkmeter is a company based in USA (Washington D.C.) and Nairobi (Kenya). It also develops its activity in Tanzania, Haiti , India, and other locations around the world.
22 countries in North America, Africa and Asia
The solution is directly implemented by SparkMeter personnel. The team travels globally meeting with utilities and end users, installing and maintaining microgrids.
Depends on the location. For the case of the communities in Harkapur, Kaduwa and Chyasmitar (Nepal): The electricity tariff is flat rate per time period, and for households ranges from 4 to 6 USD per month and for businesses 10 to 80 USD per month. The design includes smart prepaid meters to manage an automated billing and payment collection system.
Goal 7: Affordable and clean energy
Central grid utility companies and microgrid developers in developing countries
The solution uses a base station and meters, each one uses different manufacturing methods depending on the specific model.
Copyrighted 2018 SparkMeter, Inc.
Direct sales to utility companies (central grid utility or a microgrid developer)
SparkMeter is supporting connections in 22 countries. Of those, over a dozen countries in Asia, Africa, and Latin America are using their smart metering systems for microgrids.
Telecommunication service required for the product/service to work (Mobile data, SMS, voice, Internet, Other)
Local network communication protocol used aside from the telecommunications required (Wifi, bluetooth, Radio frequency, Zigbee, Other)
Device features required for the product/service to work.
Text, Numbers, Multimedia (Photos, video, audio, etc), Geolocation, Sensor readings, Other
List what type of hardware components/devices are used in this IoT solyution (Proprietary, Non Proprietary [Raspberry Pi, Arduino, other])Display order
If Yes, specify the type and quantity of sensors used for the product to deliver the service
Is the code of this project open source?
Is the data from this project publically available?
Android, IOs, Windows, Not applicable, or other [specify]
Batteries, Uninterrupted prower supply (UPS), solar energy, Other [specify]
Monitoring & evaluation (M&E) , survey for project management (baseline, midline, and endline), household surveys for health, ag, financial inclusion, water, education, academic research survey, impact evaluations, market research, other (specify)
- Demand-Side Management and Tariffs
- Smart Load Limiting
- Unlimited, Fully Customizable Tariffs
- Revenue Protection and Loss Monitoring
- Real Time Monitoring and Control
- Detailed technical & financial data
- Versatile Payments and Billing
- Choose prepay or postpay – in one click
- Versatile sales process
- Full Traceability and Accountability
- Two Way Communications
- Robust, local wireless network
- Remote management
Provided by the manufacturer
- Reduce non-technical loss
- Increase availability and reliability
- Improve cost recovery and eliminate metering and billing costs
A utility can expect payback of <2 years consumers who use just 2 USD of electricity per month. A payback of <1 year is achievable when serving customers purchasing just 4 USD per month.
Engie Microgrid, Tanzania; Gham Power Microgrid, Nepal; EarthSpark Microgrid, Haiti; E.ON Microgrid, Tanzania; Husk Power Microgrid, India
Data collected over SparkMeter’s built-in wireless mesh network is uploaded over a low-bandwidth internet connection to SparkMeter’s cloud. Utilities can use ThunderCloud software application, to monitor system operations and set controls for load limiting, demand response, and pricing that synchronize with the meters on the ground. In addition to functionality in the cloud, the utility can login locally to a base station on the ground for full access to ThunderCloud software on-site with no internet connection.
Buevich, M., Schnitzer, D., Escalada, T., Jacquiau-Chamski, T. and Rowe, A., 2014, Fine-Grained Remote Monitoring, Control and Pre-Paid Electrical Service in Rural Microgrids, 13th international symposium on Information processing in sensor networks, IEEE Press, Piscataway, NJ, USA, 1-12.
Buevich, M., Zhang, X., Schnitzer, D., Escalada, T., Jacquiau-Chamski, A., Thacker, J. and Rowe A., 2015, Short Paper: Microgrid Losses: When the Whole is Greater Than the Sum of Its Parts, Proceedings of the 2nd ACM International Conference on Embedded Systems for Energy-Efficient Built Environments, New York, NY, USA, 95-98.
Musoni, M., Kayondo B., Muramira, H. and Ruzindana, I., 2017 Assessment of Radio Frequency Spectrum and regulation in Sub-Saharan Africa, University of Rwanda, Department of ICT, Kigali, Rwanda
Bhattarai, D. and Basnet, B., 2016, Opportunities for Real-time Monitoring, Control and Payment Technologies for Microgrids: A Case Study of Operational Systems in Nepal, Practical Action, pp. 3
Allows tariff customization to comply with local regulations
The following aspects were evaluated:
- Response times with real-time monitoring
- Ability to detect instances of energy theft
- Location of occurrences of energy theft
- Savings on existing revenue protection programs
- Rates of customer payment
- Outages from brownouts and blackouts
- Asset life of grid equipment, including transformers, substations, and inverters through reducing outages and restoration costs
- Elimination of manual meter reading costs
- Accuracy of customer meter reads and billing through automation
- Effect on fraud and tampering of data on customer consumption and payments through our secure database
In context photographs (0)
You can use the form below to contribute a photo of this product.
In context files & documents (0)
Feedback from users, customers & distributors
Please let us know your experience in using this product through comments below.