Improved Preventive Maintenance Scheduling for a Photovoltaic Plant under Environmental Constraints

The supply of PV power that satisfies the needs of customers is heavily dependent on the reliability of the generating plants. However, irrespective of the robustness of the design of such physical industrial assets, they tend to depreciate with usage and/or age which, in turn, increases the allowance between the design and the operational capabilities. Therefore, to ameliorate the reliability of the system, a combination of selective and preventive maintenance actions were planned by determining the best combination (optimal preventive maintenance intervals, optimal replaced components). In this work, we developed an optimal preventive maintenance strategy with minimal repair using the iterative numerical technique for a PV plant, with and without considering the influence of environmental conditions on the system. An algorithm was developed on MATLAB to determine the optimal number of preventive maintenance actions that yields the maximum availability by selecting the components to be maintained based on the reliability threshold, without considering the environmental impact on the components. The environmental elements’ criticality was introduced, and the reliability reiterated based on the new technique. Finally, by maximizing the availability of the system, an optimal preventive maintenance for a finite horizon was established.

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An Improved Preventive Maintenance Scheduling for a Photovoltaic Plant under Environmental Constraints

10.21203/rs.3.rs-542572/v1 ◽

2021 ◽

Author(s):

Aisha Sa'ad ◽

Aime Nyoungue ◽

Zied Hajej

Keyword(s):

Preventive Maintenance ◽

Numerical Technique ◽

Optimal Number ◽

Environmental Constraints ◽

Environmental Condition ◽

Minimal Repair ◽

System A ◽

Electrical Wiring ◽

Photovoltaic Plant ◽

Efficiency And Reliability

Abstract To be able to supply PV power that satisfies customer demand at all times, there is need for the generating plant to be available at all time. However, with the increased age and usage of the components, the component’s reliability reduces resulting to failure. These failures were due to a range of causes such as degradation and electrical wiring aging and cuts leading to a reduced performance efficiency and reliability. Therefore, to ameliorate the reliability of the system, a combined selective and preventive maintenance actions were planned by determining the best combination (optimal preventive maintenance intervals, optimal replaced components). In this work, an optimal preventive maintenance strategy with minimal repair was developed using iterative numerical technique for a photovoltaic (PV) plant with and without considering the influence of environmental condition on the system. An algorithm was developed on MATLAB to determine the optimal number of preventive maintenance actions that yields maximum availability by selecting the components to be maintained based on the reliability threshold without considering the environmental impact on the components. The environmental elements’ criticality was introduced and the reliability reiterated based on the new technique. Finally, by maximizing the availability of the system, an optimal preventive maintenance for a finite horizon was established.

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Preventive maintenance optimization for repairable products considering two-dimensional warranty and customer satisfaction

Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability ◽

10.1177/1748006x18804463 ◽

2018 ◽

Vol 233 (4) ◽

pp. 553-566

Author(s):

Yukun Wang ◽

Yiliu Liu ◽

Aibo Zhang

Keyword(s):

Customer Satisfaction ◽

Preventive Maintenance ◽

Product Performance ◽

Maintenance Optimization ◽

Two Dimensional ◽

Maintenance Strategy ◽

Minimal Repair ◽

Proposed Model ◽

Useful Life ◽

Practical Implications

Customer satisfaction with a purchased product is closely related to the product performance within the warranty region and even the performance during the remainder of its useful life. Every satisfied customer may boost the future sales of the same product with positive evaluations and recommendations to others, and thus will create more profits for the manufacturer. During the useful life of the product, the expected cost to the manufacturer normally depends on the warranty policy, product reliability and specific servicing strategies implemented. In this article, considering the effect of customer satisfaction on the manufacturer’s incurred cost, we investigate a periodic and imperfect preventive maintenance strategy for repairable products sold with a two-dimensional warranty policy. The customer satisfaction is measured with the probability of the customer making a repeat purchase from the same manufacturer. In the proposed model, the number of preventive maintenance actions and corresponding maintenance level are jointly derived with the objective of minimizing the expected total cost per product to the manufacturer. The performance of the proposed preventive maintenance strategy is compared with that of minimal repair corrective maintenance strategy in a numerical example, so as to illustrate its applicability. In addition, some practical implications from a detailed sensitivity analysis are elaborated.

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OPTIMAL PREVENTIVE-MAINTENANCE WARRANTY POLICIES FOR REPAIRABLE PRODUCTS WITH AGE-DEPENDENT MAINTENANCE COSTS

International Journal of Reliability Quality and Safety Engineering ◽

10.1142/s0218539305001720 ◽

2005 ◽

Vol 12 (02) ◽

pp. 111-125 ◽

Cited By ~ 7

Author(s):

RUEY HUEI YEH ◽

MING-YUH CHEN

Keyword(s):

Optimal Policy ◽

Preventive Maintenance ◽

Life Time ◽

Optimal Number ◽

Closed Form Expression ◽

Minimal Repair ◽

Maintenance Costs ◽

Special Cases ◽

Age Dependent ◽

The Impact

This paper develops a mathematical model to derive the optimal preventive maintenance warranty (PMW) policy for repairable products with age-dependent maintenance costs. Under a PMW, any product failures are rectified by minimal repair, and additional preventive maintenance actions are carried out within the warranty period. When the costs for preventive maintenance and minimal repair are age-dependent, the optimal number of preventive maintenance actions, corresponding maintenance degrees, and the maintenance schedule for designing a PMW policy are derived here such that the expected total warranty cost is minimized. Under some reasonable conditions, we show that there exists a unique optimal PMW policy in which the product is maintained periodically with the same preventive maintenance degree. Using this property, an efficient algorithm is provided to search for the optimal policy. Some related models developed in the literature are discussed and these models are in fact special cases of the model proposed in this paper. Furthermore, when the life-time distribution of a product is Weibull, a closed-form expression of the optimal policy is obtained. Finally, the impact of providing preventive maintenance is evaluated through numerical examples.

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An Optimal Number-Dependent Preventive Maintenance Strategy for Offshore Wind Turbine Blades Considering Logistics

Advances in Operations Research ◽

10.1155/2013/205847 ◽

2013 ◽

Vol 2013 ◽

pp. 1-12 ◽

Cited By ~ 8

Author(s):

Mahmood Shafiee ◽

Michael Patriksson ◽

Ann-Brith Strömberg

Keyword(s):

Wind Turbine ◽

Preventive Maintenance ◽

Wind Farm ◽

Turbine Blades ◽

Optimal Solution ◽

Optimal Number ◽

Offshore Wind ◽

Offshore Wind Turbine ◽

Model Parameters ◽

Maintenance Strategy

In offshore wind turbines, the blades are among the most critical and expensive components that suffer from different types of damage due to the harsh maritime environment and high load. The blade damages can be categorized into two types: the minor damage, which only causes a loss in wind capture without resulting in any turbine stoppage, and the major (catastrophic) damage, which stops the wind turbine and can only be corrected by replacement. In this paper, we propose an optimal number-dependent preventive maintenance (NDPM) strategy, in which a maintenance team is transported with an ordinary or expedited lead time to the offshore platform at the occurrence of theNth minor damage or the first major damage, whichever comes first. The long-run expected cost of the maintenance strategy is derived, and the necessary conditions for an optimal solution are obtained. Finally, the proposed model is tested on real data collected from an offshore wind farm database. Also, a sensitivity analysis is conducted in order to evaluate the effect of changes in the model parameters on the optimal solution.

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