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What if clean energy investments could be measured not just in dollars and emissions, but in lives saved, species protected and economic value created? In this highlight episode, you’ll learn how Andrew DeMille and Quantum Energy are bringing impact analytics into energy decision-making, helping businesses quantify the broader human, environmental and economic outcomes of clean energy projects. Andrew explains how sophisticated grid modelling, AI and machine learning can reveal what happens when new renewable energy projects come online, from the fossil fuel generation they displace to the resulting changes in emissions, health outcomes and ecosystem impacts.
You’ll also discover why these metrics are becoming increasingly important for project approvals, access to capital, corporate reporting and investment decisions. Listen in to hear lessons from major renewable energy projects and how businesses can move beyond a narrow ROI mindset, use impact analytics to de-risk clean energy investments and communicate the value of energy projects in a way that resonates with executives, investors, customers and communities.
What You’ll Learn in Today’s Episode:
- Why energy decisions need impact analytics.
- How grid modelling measures project impacts.
- How renewable energy displaces fossil fuels.
- Why health impacts matter in energy decisions.
- How clean energy can create economic value.
- Why sustainability metrics are becoming financial metrics.
- How impact data can de-risk energy projects.
- Why AI is increasing demand for clean power.
- How businesses can quantify clean energy ROI.
- How to make energy investments more compelling.
Resources in Today's Episode:
- Andrew DeMille: LinkedIn
- Quantum Energy
- Vista Sands Solar Farm
- Gareth Evans: LinkedIn
- Dan Roberts: LinkedIn
- VECKTA: News
You can view a video of the conversation on VECKTA's website here: https://tinyurl.com/yjcbpb69
