Metrics for resilient design of thermal systems

• Grant number: 16/19255-7
• Support Opportunities: Scholarships abroad - Research
• Effective date (Start): March 01, 2017
• Effective date (End): February 28, 2018
• Field of knowledge: Engineering - Mechanical Engineering - Thermal Engineering
• Principal Investigator: José Alexandre Matelli
• Grantee: José Alexandre Matelli
• Host Investigator: Kai Goebel
• Host Institution: Faculdade de Engenharia (FEG). Universidade Estadual Paulista (UNESP). Campus de Guaratinguetá. Guaratinguetá , SP, Brazil
• Research place: NASA Ames Research Center, United States

Abstract

The first step of designing any engineering system is the conceptual design. Most of engineering systems, including thermal systems, are designed within a fixed design capacity envelope and may cause the system to malfunction in the presence of adverse events. However, the designer often lacks fundamental information regarding component failure rate during the conceptual design phase. Design for resiliency is a relatively new research field where the engineering system is designed in order to maintain itself operational despite existence of failures. Over last decades, researches in computer networks have investigated the resiliency of complex networks. The study of network topology from this area brings some interesting insights into the design of complex engineering systems, such as thermal systems. In this study, it is intend to adapt a methodology from complex networks analysis applied to the resiliency analysis of different conceptual designs for thermal systems. Such an analysis provides a formal way to compute metrics related to resiliency, so that it is possible to predict in early stages which design is more is more able to function as required. (AU)

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

MATELLI, JOSE ALEXANDRE; GOEBEL, KAI. Conceptual design of cogeneration plants under a resilient design perspective: Resilience metrics and case study. APPLIED ENERGY, v. 215, p. 736-750, APR 1 2018. (16/19255-7)

MATELLI, JOSE ALEXANDRE; GOEBEL, KAI. Resilience evaluation of the environmental control and life support system of a spacecraft for deep space travel. ACTA ASTRONAUTICA, v. 152, p. 360-369, NOV 2018. (16/19255-7)