Energy generation systems under unexpected operational conditions: consequences in view of components and consideration of resilience in the design phase

• Autor(a) principal: Silva, Fellipe Sartori da [UNESP]
• Data de Publicação: 2022
• Tipo de documento: Tese
• Idioma: eng
• Título da fonte: Repositório Institucional da UNESP
• Texto Completo: http://hdl.handle.net/11449/217669
• topic: Resilience; Energy system; Energy generation; Natural disaster; Man-made disaster; Graphical analysis; Resiliência; Sistemas de energia; Geração de energia; Desastres naturais; Desastres antrópicos; Análise gráfica; Sistemas de energia elétrica; Geração distribuída de energia elétrica; Energia - Fontes alternativas

Energy systems are part of the critical infrastructures, and therefore any dysfunctionality can cause reactions in crucial societal fields. The more frequent and severe natural and man-made disasters increased the frequency of unexpected events, affecting these systems and exposing their vulnerability by leading them to abrupt disruptions. Resilience is a relatively recent concept in the thermal engineering field that is receiving attention due to the consideration of these high-impact, low-probability (HILP) events. This work aims to investigate the consequences of unexpected situations under these systems and establish a new method composed by seven quantitative metrics and a graphical analysis for resilience evaluation. The method was applied in four previously proposed cogeneration plants, two of them presenting redundancies. Both quantitative metrics and graphs converged to the same systems as the most and the least resilient ones, proving the robustness and reliability of the method. The inclusion of repairing actions hardly enhanced resilience of all the systems, mostly the less resilient ones, indicating that improving repairing conditions can be a great alternative to systems already in operation. The variation of input parameters revealed that operating time presents strong relation to resilience, indicating that systems projected to operate for shorter periods do not need significant investment in this field. Redundancy proved to be one of the important aspects for resilience evaluation, not being the major one under more detrimental scenarios, overcoming a possible initial idea that it is the main influence factor. Higher lifetimes provided extreme adverse environments, in which none of the configurations was able to continue its operation at an acceptable level. The graphical analysis pointed to the most resilient system as the one not only achieving more operating time, but also with highest energy generation along its lifetime. It also indicated that, for the analyzed scenarios, decreasing the failure rate could be more beneficial than invest in repair actions. In this evaluation, it became clear that the redundancy improved better the system availability, maintaining its operation for longer, compared to energy availability.