Tuesday, September 2, 2025

Wind & Solar PV Interactions Across Countries #sciencefather #researcherawards #SolarPV

 

๐ŸŒ⚡ Cross-Country Insights into Wind & Solar PV Interactions Using the Stochastic Lotka-Volterra Model

The global energy transition is powered by clean technologies, but understanding how different renewable sources interact is a complex challenge. ๐ŸŒฑ๐Ÿ”‹ In our latest study, we apply the stochastic Lotka-Volterra model to explore the dynamic interactions between wind power ๐ŸŒฌ️ and solar photovoltaic (PV) energy ☀️ across multiple countries.

๐Ÿ”Ž Key Findings

  1. Scale Effects

    • Wind markets show both positive and negative scale effects depending on the country.

    • PV solar markets, however, are consistently scale-restrictive ⚖️, limiting their own growth potential.

  2. Types of Technology Interactions

    • Current interactions are largely mutualistic ๐Ÿค or prey-predator ๐Ÿฆ…๐Ÿ‡ in nature.

    • Prey-predator dynamics are observed in the US, China, and Italy, with PV solar acting as the predator against wind.

  3. Stochastic vs. Deterministic Orbits

    • Random orbits of installed capacity oscillate around the deterministic equilibrium orbit ๐ŸŽฏ.

    • These orbits are normally distributed ๐Ÿ“Š, and the mean orbit converges to the equilibrium defined by the deterministic model.

๐ŸŒŸ Why This Matters

This relationship between stochastic diffusion paths and deterministic equilibrium helps us:
✅ Identify countries with stable technology diffusion patterns.
✅ Use predictive features of the stochastic Lotka-Volterra model for energy forecasting.

๐Ÿ“ Country-Specific Insights

  • Stable distributions (normally distributed random orbits): ๐Ÿ‡ฎ๐Ÿ‡ณ India, ๐Ÿ‡ฏ๐Ÿ‡ต Japan, ๐Ÿ‡ฎ๐Ÿ‡น Italy

  • Forecasts: Three-year projections (to 2020) for both wind and PV solar technologies indicate clear trends in adoption and growth. ๐Ÿ“ˆ

๐ŸŒ Conclusion

Our findings show that renewable energy technologies don’t just grow independently—they compete, cooperate, and sometimes restrict each other’s growth. Understanding these dynamics is crucial for policy-making, investment decisions, and future energy planning ๐Ÿ”ฎ⚡.

Scientific World Research Awards๐Ÿ†

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