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June 3, 2026IEEJ Transactions on Power and Energy0 citations

Optimization Analysis of Regional Energy Chains by 100% Renewable Energy

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YMYuma MochizukiKSKeiki ShimuraHYHiromi Yamamoto

Key Points

  • The aim is to optimize the design of a 100% renewable off-grid electrical system for Namie Town, combining solar, wind, biomass, and hydrogen technologies.
  • Developed an energy optimization model using linear programming.
  • Analyzed 8760-hour time-series data to minimize total annual cost.
  • Compared systems with and without biomass integration (PV vs PWB case).
  • Electricity cost decreased by 2.20JPY/kWh from 19.08 to 16.88JPY/kWh with biomass integration.
  • Energy curtailment rate improved from 19.2% to 8.7%.
  • Overall system efficiency increased from 63.3% to 77.1%.

Abstract

This study proposes an optimal design for a 100% renewable, off-grid electrical system for Namie Town, Fukushima, a region promoting local energy independence after the 2011 disaster. The town has rich solar, wind, and biomass potential and hydrogen infrastructure, but a quantitative analysis of an isolated system integrating these four elements—renewables, biomass power, hydrogen storage, and an off-grid configuration—has not been fully conducted. We developed an energy optimization model using linear programming with 8760-hour time-series data to minimize the total annual cost. The model compares a photovoltaic (PV) and wind system (PW case) with a system that also includes biomass (PWB case). Results show that adding biomass reduces the electricity cost by 2.20JPY/kWh (from 19.08 to 16.88JPY/kWh) by lowering the required capacity of PV, batteries, and hydrogen storage. The energy curtailment rate dropped from 19.2% to 8.7%, and overall system efficiency improved from 63.3% to 77.1%. This indicates biomass can function as a key dispatchable power source, improving stability and cost-effectiveness for an isolated renewable electrical system.

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Cite This Study

Mochizuki et al. (2026) studied this question.

synapsesocial.com/papers/6a1fc3eddee9eb8c0dce58e2https://doi.org/10.1541/ieejpes.146.426
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