چکیده مقاله
In recent decades, the growing concerns over climate change, fossil fuel depletion, and environmental degradation have intensified the search for sustainable energy alternatives Biodiesel derived from waste cooking oil WCO has emerged as a promising renewable fuel due to its potential to mitigate greenhouse gas emissions, reduce waste generation, and enhance energy security However, the large scale adoption of WCO based biodiesel production faces challenges such as variability in feedstock quality, process optimization, and economic feasibility This study proposes an integrated artificial intelligence AI driven framework for the modeling, optimization, and evaluation of biodiesel production from WCO The framework consists of three key components: • Process Modeling and Optimization – Machine learning algorithms e g , Artificial Neural Networks, Random Forest, and Genetic Algorithms are employed to predict biodiesel yield and optimize reaction conditions such as methanol to oil ratio, catalyst concentration, and temperature • Life Cycle Assessment LCA – Conducted according to ISO 14040/44 standards, LCA evaluates the environmental impacts of WCO biodiesel across its entire supply chain, comparing it with conventional fossil diesel The results highlight that the integration of AI based optimization with LCA and market analysis not only enhances production efficiency but also supports sustainable decision making for policymakers and industry stakeholders This holistic approach demonstrates that biodiesel from WCO can play a significant role in the transition towards a circular economy and a low carbon future
کلیدواژهها
نویسندگان
Mohsen Aghaei Qale Che
Elahe Mehri Master's degree in Industrial Management, Operations Research Orientation, Hasht Behesht Non-Profit University of Isfahan Master's degree in Information Technology Management, Knowledge Management major, Payam Noor University, West Tehran
Elahe Mehri
Master's degree in Industrial Management, Operations Research Orientation, Hasht Behesht Non Profit University of Isfahan Master's degree in Information Technology Management, Knowledge Management major, Payam Noor University, West Tehran
شیوه ارجاع
Aghaei Qale Che, Mohsen and Mehri, Elahe,1404,Artificial Intelligence-Based Modeling and Optimization of Biodiesel Production from Waste Cooking Oil Using Life Cycle Assessment and Market Dynamics Analysis,1St International conference on new horizons in management,business, economics and humanities
ارائهشده در
مجموعه مقالات اولین کنفرانس بین المللی افق های نوین در مدیریت، تجارت، اقتصاد و علوم انسانی10 آذر 1404