Abstract
A combined cooling, heating, and power (CCHP) system is a complex and repairable system containing a large number of components and series of subsystems. When a failure occurs in one component, it might cause a failure of a subsystem or whole system. Traditional maintenance methods might lead to the waste of maintenance resources and a high cost of maintenance. The reliability and maintenance prioritization analyses can help managers optimize maintenance strategies and reduce the total cost. A reliability importance index is one of the factors in maintenance prioritization analysis. This paper aims at selecting the component reliability importance indices to identify the priority of component maintenance of a CCHP system from the perspective of maintenance cost. Failure cost importance index (FCI) and Potential failure cost importance index (PI) are developed for the maintenance prioritization analysis of a CCHP system. A Markov model based on the state–space method (SSM) is used to analyze the reliability and availability of a CCHP system. A set of actual survey reliability data of CCHP systems is used to support the validity of the reliability importance indices. The results indicate that the FCI and PI might lead to different rankings of maintenance prioritization. The FCI and PI will help managers make a reasonable decision for maintenance on a cost basis.
Highlights
Combined cooling, heating, and power (CCHP) systems produce electricity and available heat from one generation site and the conversion efficiency of primary energy to useful energy is approximately 70–80% [1,2]
Reliability and availability availability analyses are widely performed in various fields, for instance, engineering and medical analyses are widely performed in various fields, for instance, engineering and medical science, since it science, since it was proposed in the 1960s, and the most reliability analysis models and methods are was proposed in the 1960s, and the most reliability analysis models and methods are proposed and proposed and applied [32]
This paper focuses on the reliability and availability analysis and components maintenance prioritization prioritization analysis analysis of of the the CCHP
Summary
Combined cooling, heating, and power (CCHP) systems produce electricity and available heat from one generation site and the conversion efficiency of primary energy to useful energy is approximately 70–80% [1,2]. Due to the high conversion efficiency and greater environmental benefit, CCHP systems have attracted more attention in the past few decades [3] and are widely used in buildings or regional energy systems [4]. The CCHP system, known as the tri-generation system, can be applied in a stand-alone microgrid (MG) or combined with the city power grid. Some renewable energies and technologies have been applied in the CCHP system, such as fuel cells, heat pumps [6], photovoltaics (PV), wind turbines, and more [7,8]. Chen et al [10] proposed a multi-objective optimization model of energy management for the integrated electrical and natural gas network
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