(229e) Utilizing Multi-Criteria Decision Analysis for Holistic Evaluation and Selection of Wastewater Nitrogen Recovery Technologies
AIChE Annual Meeting
2024
2024 AIChE Annual Meeting
Sustainable Engineering Forum
Machine Learning and Analytics for Sustainability
Monday, October 28, 2024 - 5:10pm to 5:35pm
This study develops that framework to evaluate 9 different nitrogen recovery technologies to rank which technologies would have the biggest impact on nitrogen circularity. These technologies are evaluated against five indicators: technical, environmental, economic, social, and circularity. Life cycle assessments, techno economic analysis, and process modeling are used to assign values to each of the indicators for the different technologies. For each of those indicators, objective weighting methods such Standard Entropy and CRiteria Importance Through Intercriteria Correlation (CRITIC) are used to identify the importance of each category in the evaluation. Then multi-criteria decision analysis (MCDA) methods such as Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) are used to compare and rank the different technologies against each other. Ultimately, this framework can be used by existing WWTP facilities looking to integrate nitrogen recovery into their facility to identify the technology that best fits within their system to improve the nitrogen circular economy.