A Dynamic Model for Trading Renewable Energy Certificates Using NFT Pricing Considering Seasonal Climate Changes

The combination of NFTS, blockchain, and renewable energy trading holds promise for creating secure, transparent, and efficient systems. This paper investigates and analyzes an innovative system for converting renewable energy production certificates into non-fungible tokens (NFT). In this research, using a one-year simulation, the behavior and performance of four renewable energy sources (solar, wind, hydro, and geothermal) have been studied in the form of digital certificates. The presented model performs the pricing of NFTS by considering several parameters such as the amount of energy production, seasonal effects, supply and demand ratio, and the efficiency of each energy source. The results show that there is a significant correlation between the amount of energy production and the price of NFTs. Seasonal analysis shows significant changes in energy production and pricing in different seasons. Also, the economic efficiency of different energy sources is different and shows the highest economic efficiency. The price prediction model provided for the next ۳۰ days allows better planning for investors. This research presents a novel framework for tokenizing renewable energy certificates that can contribute to greater market transparency, facilitating transactions and sustainable development of the renewable energy market.

کلیدواژه ها:

Renewable energy ، NFT ، Digital certificate ، Smart pricing ، Economic efficiency