Smart Framework for Choosing Reliable Hydrogen Energy Suppliers #sciencefather #researcher #hydrogenenergy

 

⚡🔋 Choosing the Right Hydrogen Energy Supplier: A Smarter Way Forward 🌍💡

In the race toward a greener future, hydrogen energy is emerging as a game-changer for clean, sustainable power. But with its growing demand, choosing a trustworthy hydrogen energy supplier isn’t as simple as picking the lowest price. 🌱⚖️ Navigating economic viability 💵 and energy security 🔒 is key to ensuring long-term success.

This innovative research presents a decision-making framework that blends:

• 📈 GARCH Model (Generalized Autoregressive Conditional Heteroscedasticity): Captures and analyzes price volatility in hydrogen markets.

• 🤖 Fuzzy TOPSIS (Technique for Order Preference by Similarity to Ideal Solution): Handles uncertainty in multi-criteria supplier evaluation.

• 📊 Soft Analytic Hierarchy Process (AHP): Determines selection criteria weights for more balanced decision-making.

📍 Case Study: China (2015–2023) 🇨🇳

Using real-world data, this framework was tested to optimize hydrogen procurement. The results showed that it:
✅ Promotes economic sustainability
✅ Strengthens energy security
✅ Ensures affordable hydrogen supply chains

💡 Why It Matters

By improving supplier selection, this method supports sustainable hydrogen-based energy systems — reducing risks, improving cost efficiency, and accelerating the global clean energy transition. 🌐💚

🚀 The future of hydrogen energy isn’t just about production — it’s about making the right choices in procurement. With tools like GARCH + Fuzzy TOPSIS + Soft AHP, decision-makers can confidently build resilient and sustainable energy networks.

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