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

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.

scholarly journals Improved Preventive Maintenance Scheduling for a Photovoltaic Plant under Environmental Constraints

2021 ◽  
Vol 13 (18) ◽  
pp. 10472
Author(s):  
Aisha Sa’ad ◽  
Aimé C. Nyoungue ◽  
Zied Hajej
Keyword(s):  
Preventive Maintenance ◽  
Numerical Technique ◽  
Optimal Number ◽  
Maintenance Scheduling ◽  
Environmental Constraints ◽  
Maintenance Strategy ◽  
Minimal Repair ◽  
System A ◽  
Operational Capabilities ◽  
Photovoltaic Plant

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.

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

2005 ◽  
Vol 12 (02) ◽  
pp. 111-125 ◽  
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.

scholarly journals An Optimal Preventive Maintenance Policy for a Solar Photovoltaic System

2020 ◽  
Vol 12 (10) ◽  
pp. 4266 ◽  
Author(s):  
Amir Baklouti ◽  
Lahcen Mifdal ◽  
Sofiene Dellagi ◽  
Anis Chelbi
Keyword(s):  
Preventive Maintenance ◽  
Operating Time ◽  
Optimal Number ◽  
Photovoltaic System ◽  
Maintenance Cost ◽  
Solar Photovoltaic ◽  
Solar Panels ◽  
Maintenance Policy ◽  
Electrical Wiring ◽  
Solar Photovoltaic System

In this paper, we develop a preventive maintenance (PM) strategy for a solar photovoltaic system composed of solar panels functioning as a series system. The photovoltaic system is considered in a failed state whenever its efficiency drops below a predefined threshold or any electrical wiring element is damaged. In such a situation of failure, a minimal repair is performed. The proposed PM strategy suggests systematically replacing n panels with their respective wiring system every time units T over a finite operating time span H. The panels to be preventively replaced are selected by the maintenance agent after an on-site overall assessment of all panels, making sure every time not to replace panels previously replaced during a given replacement cycle of all panels of the system. An analytical model is proposed in order to simultaneously determine the optimal PM period, T, and the optimal number of solar panels, n, to be replaced at each PM. This is done by modeling and minimizing the expected total maintenance cost over the finite operating time horizon H. A numerical example is presented to illustrate the use of the proposed modelling approach and to discuss the obtained results. The latter provide the optimal solutions (T*, n*) for different combinations of input parameters. They also show the economic relevance of the proposed PM strategy through estimation of the economic gain when comparing the situations with and without preventive maintenance.

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

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.

Management and environmental constraints to rice yield within a village irrigation system ? A case study from Sri Lanka

GeoJournal ◽  
1988 ◽  
Vol 17 (3) ◽  
Author(s):  
E. Dal�us ◽  
O. Palm ◽  
K. Sandell ◽  
S.N. Jayawardena ◽  
G.D. Siripala
Keyword(s):  
Sri Lanka ◽  
Rice Yield ◽  
Irrigation System ◽  
Environmental Constraints ◽  
System A

Integrated Production and Preventive Maintenance Decision Making Using Option-Based Cost Model

2009 ◽  
Author(s):  
Xiaoning Jin ◽  
Lin Li ◽  
Jun Ni
Keyword(s):  
Decision Making ◽  
Production System ◽  
Preventive Maintenance ◽  
Demand Uncertainty ◽  
Cost Model ◽  
Stochastic Demand ◽  
Optimal Number ◽  
Integrated Production ◽  
Maintenance Decision ◽  
Cost Parameters

This paper presents an analytical, option-based cost model for an integrated production and preventive maintenance decision making with stochastic demand. The determination of preventive maintenance times and their schedule during a production period is converted to an option problem through maximizing the profit of the production per unit time. The optimal number of preventive maintenance actions is obtained and some further discussions on how the cost parameters affect the optimal results are also derived. The resulting option-based model is found to add flexibility to the production system and thus reduce the risk of shortage when the production system is faced with stochastic demand. A comparisons between the basic model (without option) and the option-based preventive maintenance model has shown that the option model is a more flexible under demand uncertainty and results in at least as much profit as the basic one.

scholarly journals Zone Fare System Design in a Rail Transit Line

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Yi Yang ◽  
Lianbo Deng ◽  
Qing Wang ◽  
Wenliang Zhou
Keyword(s):  
System Design ◽  
Optimal Number ◽  
Rail Transit ◽  
Absolute Deviation ◽  
System A ◽  
Highly Correlated ◽  
Evaluation Metric ◽  
Zone Division ◽  
Existing Form ◽  
Adjustment Scheme

As a widely existing form of public transit fare structures, zone fare system is traditionally designed in a separate way, which may lead to suboptimal results. This paper aims to concurrently address the zone division and fare calculation issues of the zone fare system design in a rail transit line. It is necessary to consider passengers as well as operators to find an impartial zone fare system. A fair zone fare system is one where the zone fares are as close as possible to the distance-based fares, for the fares of the distance-based fare system are highly correlated with the actual distance of trips. Thus, the fare deviations for the trips between the zone fare system and the distance-based fare system are utilized as the evaluation metric of fairness. To achieve the goal of minimizing fare deviations for all trips, we introduce three indexes: average absolute deviation, average squared deviation, and maximum mileage fare deviation. With the three indexes as the objective functions, we develop a joint optimization algorithm where a novel zone boundary adjustment scheme is proposed as the key technique. Numerical results show that the proposed algorithm can effectively provide a joint optimal scheme and the optimal number of planned zones is 5 for Changsha Metro Line 2. The proposed algorithm can provide guidance for the practical design and adjustment of the zone fare system.

Integrated inventory model with backorder and minimal repair in a supply chain

2016 ◽  
Vol 232 (3) ◽  
pp. 546-560 ◽  
Author(s):  
Ming-Feng Yang ◽  
Yi Lin
Keyword(s):  
Preventive Maintenance ◽  
Optimal Number ◽  
Inventory Model ◽  
Integrated Inventory Model ◽  
Production Ratio ◽  
Purchase Cost ◽  
Production Run ◽  
Special Cases ◽  
Integrated Inventory ◽  
Holding Cost

This study explores the feasibility of applying an integrated inventory model with the consideration of incorporating production programs and maintenance to an imperfect process involving a deteriorating production system. The main target of this research is to build an integrated inventory model with the issues of backorder and repair. Additionally, our proposed model tries to provide an optimal number of shipments m and lower cost. Furthermore, this article offers the detailed discussion of two preventive maintenances of the production run period which are named as perfect preventive maintenance and imperfect preventive maintenance. Also, in this study, we develop various special cases that consider the failure rate such as Weibull, geometric and learning effect. Based on the results, the demand and production ratio influences the holding cost and purchase cost and has the highest impact on the integrated model.

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