NASH Renewables
We at NASH*RENEWABLES provide data-driven AI solutions for the post-subsidy renewable energy era. We enable radically new ways of making risk-adjusted, return-optimized asset choices for developers and investors. Choices that others can't see or don't value accurately. Better Choices. Higher Returns. More Renewables. Renewable energy faces a massive growth challenge to successfully limit global warming. At the same time, renewable energy is transitioning into the post-subsidy era: instead of benefiting from fix-price remuneration schemes, the value of green energy will increasingly be determined by hourly or even quarter-hourly electricity market prices. Yet, wind asset configurations still focus on maximizing annual energy production volumes and minimizing wind farm costs. With volatile hourly electricity prices, however, maximum energy volume doesn't equate to maximum value: we believe current asset choices frequently leave money on the table and carbon in the grid. We are here to change that. Our AI-driven software and planning solutions enable wind asset developers and investors to make better asset choices. Choices rooted in finding the most value – and not simply the highest electricity production at the lowest cost. Our solutions reach from early opportunity stages to lifetime optimization and trading integration during operations: - Early-stage site attractiveness assessment of location-specific ROI potential - ROI-optimized asset technology recommendations aligned with the investor's business model - Real-time asset operation optimization based on weather and electricity market price forecasts Our solution not only help to unlock significant incremental commercial value for renewable asset developers and investors, but they simultaneously also lead to asset technology choices that deliver higher effective carbon displacement (also known as "Emissionality"). A win-win for investors and the planet.
- website: http://www.nash-renewables.com
- linkedin: http://www.linkedin.com/company/nash-renewables