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Long-Term Predictive Analysis and Control Strategies Development for μ-CHP SOFC System.
Rel. Massimo Santarelli, Jan Van Herle. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Meccanica (Mechanical Engineering), 2024
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Abstract
Global warming and the urgent need for renewable energy necessitate advancements in efficient and durable energy systems. Solid oxide fuel cells (SOFCs) offer a promising solution due to their high efficiency and flexibility. However, managing SOFC degradation to ensure prolonged life and optimal performance remains a critical challenge. This thesis addresses these issues through several steps. First, it integrates a degradation model and a techno-economic model into an existing 0-D model for catalytic partial oxidation (CPOX)-based SOFC system. Various end-of-life (EoL) criteria were tested using three health indicators: power, voltage, and cumulative energy, optimized under different control strategies. Three control strategies were analyzed: fixing power, voltage, or stack temperature over time.
Predictive analysis through single-objective optimization revealed that: fixing power maintained stable performance but required frequent voltage adjustments, leading to high energy production and significant degradation
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