Skip to content
EEEP
Menu
  • 2012
    • Volume 1
      • Number 1
      • Number 2
      • Number 3
  • 2013
    • Volume 2
      • Number 1
      • Number 2
  • 2014
    • Volume 3
      • Number 1
      • Number 2
  • 2015
    • Volume 4
      • Number 1
      • Number 2
  • 2016
    • Volume 5
      • Number 1
      • Number 2
  • 2017
    • Volume 6
      • Number 1
      • Number 2
  • 2018
    • Volume 7
      • Number 1
      • Number 2
  • 2019
    • Volume 8
      • Number 1
      • Number 2
  • 2020
    • Volume 9
      • Number 1
      • Number 2
  • 2021
    • Volume 10
      • Number 1
      • Number 2
    • Volume 9
      • Number 2
  • 2022
    • Volume 10
      • Number 2
    • Volume 11
      • Number 1
      • Number 2
  • 2023
    • Volume 11
      • Number 2
    • Volume 12
      • Number 1
      • Number 2
  • 2024
    • Volume 13
      • Number 1
      • Number 2
  • 2025
    • Volume 14
      • Number 1
  • 2026
    • Volume 15
      • Number 1
Menu

EEEP » 2022 » Volume 11 » Number 1 » Analytics on Pricing Signals in Peer-to-Peer Solar Microgrids in Bangladesh

Analytics on Pricing Signals in Peer-to-Peer Solar Microgrids in Bangladesh

Posted on February 4, 2026February 9, 2026 by admin

Solar microgrids enabling peer-to-peer energy exchange among off-grid households are poised to contribute to electrifying rural areas in the Global South. This novel approach provides underserved communities with affordable, green and reliable energy access, capable of powering higher-tier consumer as well as productive-use appliances. To ensure these microgrids can be run sustainably, this paper seeks to provide some initial answers on how to improve on the prevailing static pricing approach. Piloting variations in the buy and sell prices for electricity in several solar microgrids in rural Bangladesh, we find that making electricity much cheaper did not lead to observable shifts in customer behavior. Rendering feeding into the microgrid much more lucrative for prosumers, customers who sell electricity to as well as purchase it from the microgrid, produced inconclusive results. Anecdotal evidence of consumption smoothing in a microgrid with decreased buy-prices and of increased pick-up by customers with many appliances points to potential benefits from adjusting buy prices to daily and seasonal supply peaks and troughs. Failure of increased sell-prices to induce more prosumer energy feed-in may furthermore motivate new thinking on current passive trading regimes, which give preference to matching geographically close supply and demand and thus disadvantage individual prosumers.

Authors: Sebastian Groh, Eshrat Waris, Annette Werth, and Christian Zürpel
DOI: 10.5547/2160-5890.11.1.sgro
Keywords: Energy Access, Energy Pricing, Peer-to-Peer Energy, SDG 7, Solar
🔐 Download PDF🔐 Executive Summary PDF

Account

  • Log in

Tags

Air pollution carbon emissions Carbon tax China Climate change Climate change mitigation Climate policy Coal computable general equilibrium Cost of Debt Decentralized energy governance Demand side difference-­in-­differences Electricity generation Electricity market design Electricity markets Energy Energy efficiency Energy Policy Energy R&D Energy security Energy transition environmental regulation Europe evaluation Geopolitics Introduction Investment Long-term contracts Middle East Natural gas Oil prices Regional markets Regulation Renewable energy Renewables Resilience Resource adequacy Scenario analysis Scenarios Sustainability sustainable development Techno-bias Transmission benefits willingness-to-pay

Archives

  • March 2026
  • February 2026
© 2026 EEEP | Powered by Minimalist Blog WordPress Theme