Key Performance Indicators for Wind Farm Operation and Maintenance

Gonzalez, Elena; Nanos, Emmanouil M.; Seyr, Helene; Valldecabres, Laura; Yürüşen, Nurseda Y.; Smolka, Ursula; Muskulus, Michael; Melero, Julio J.

doi:10.1016/j.egypro.2017.10.385

Cited by 63 publications

(69 citation statements)

References 10 publications

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“…In this section, some aspects under which the different maintenance policies have been compared are presented. Some of these aspects are similar to the key performance indicators presented in [7].…”

Section: Resultssupporting

confidence: 61%

“…One aspect to compare is the production loss of a turbine or wind farm under a given policy. The production loss can only be estimated, as explained in [7], as we cannot measure the absence of production. Therefore, a method to estimate the production loss is needed.…”

Section: Calculation Of Production Lossmentioning

confidence: 99%

“…The downtime of a turbine is defined as the time the turbine is in a non-operational state caused by either a fault, or by a maintenance action. With an increase in downtime, the time-based availability of the turbine is reduced, often leading to lost production and a lower energy-based availability [7]. The downtime will incur production losses and the decision maker is therefore most likely interested to reduce it.…”

Section: Downtimementioning

confidence: 99%

“…In this paper, we present a method that can be applied to compare different maintenance scheduling policies for an OWF at a given location (with known weather) for a specific failure type with a known repair time. In contrast to most of the existing tools and models, no simulations are required and expected values for different performance indicators [7], like downtime or production losses can be compared for the different policies. With the presented method, including uncertainties is straightforward-it can be included directly into the model as opposed to running Monte Carlo simulations with different parameters, as has been done by most of the existing models.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Use of Markov Decision Processes in the Evaluation of Corrective Maintenance Scheduling Policies for Offshore Wind Farms

Seyr

Muskulus

2019

Energies

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Optimization of the maintenance policies for offshore wind parks is an important step in lowering the costs of energy production from wind. The yield from wind energy production is expected to fall, which will increase the need to be cost efficient. In this article, the Markov decision process is presented and how it can be applied to evaluate different policies for corrective maintenance planning. In the case study, we show an alternative to the current state-of-the-art policy for corrective maintenance that will achieve a cost-reduction when energy production prices drop below the current levels. The presented method can be extended and applied to evaluate additional policies, with some examples provided.

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Section: Resultssupporting

confidence: 61%

Section: Calculation Of Production Lossmentioning

confidence: 99%

Section: Downtimementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Use of Markov Decision Processes in the Evaluation of Corrective Maintenance Scheduling Policies for Offshore Wind Farms

Seyr

Muskulus

2019

Energies

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“…This helped manufacturer to efficiently deliver the services by considering and managing these disruptions and uncertainties that causes these delays on-time. Gonzalez et al [26], listed KPIs (A, MTBF, MTTR, P, RR and TE) covering operation and maintenance phase for efficient wind farm operations. This list was based on the literature review and interviews with stakeholders involved within wind farm operations.…”

Section: Literature Reviewmentioning

confidence: 99%

Literature Survey about Elements of Manufacturing Shop Floor Operation Key Performance Indicators

Khan

Ahmad

2019

2019 5th International Conference on Control, Automation and Robotics (ICCAR)

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In the era of globalisation, manufacturing industries are compelled to continuously monitor their manufacturing operations to maintain competitiveness. As a result, manufacturers have integrated several measurement models to inspect their manufacturing operations. These models comprise of a set of Key Performance Indicators (KPIs), which are capable to enumerate the effectiveness, competence, efficiency and proficiency of manufacturing operations. This paper presents a review of manufacturing shop floor operation KPIs that has been studied in the recent literature. Based on the reviewed literature author proposes various KPI elements such as: description, category, scope, formula, unit of measure, range, trend, mode of display, viewers and manufacturing approach. These elements can help manufacturers to better describe, classify, analyse and measure the appropriate KPIs for their shop floor operations. Thus, enabling manufacturers to accomplish and uphold great quality, increased productivity and throughput.

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Management of operation and maintenance practices in photovoltaic plants: Key performance indicators

Rediske

Michels

Siluk

et al. 2022

Intl J of Energy Research

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Summary The number of large photovoltaic (PV) power plants is increasing around the world. Energy sale usually follows demand contracts with clearly defined obligations, subject to nonsupply penalties. Not supplying the amount of contracted energy is a critical issue to PV plant performance, which can be mitigated with operation and maintenance (O&M) good practices. Furthermore, as the PV plant ages, O&M practices become increasingly important to improve or maintain a good performance. Performance assessment is a complex process that involves several parameters to collect, indicators to measure, and action plans to solve the identified problems. The objective of this study is to identify relevant factors in performance evaluation of O&M practices of medium to large PV plants. Through a systematic literature review and Delphi method with specialists, 33 key performance indicators (KPIs) were determined and classified in operation or maintenance categories, and further in technical or economic subcategories. This paper also organized a set of parameters that PV plant managers should collect to determine the KPIs and evaluate the O&M practices performance. Efficient management of O&M practices results in an indirect increase in generation capacity, as well as ensuring compliance with electricity supply contracts.

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Key Performance Indicators for Wind Farm Operation and Maintenance

Cited by 63 publications

References 10 publications

Use of Markov Decision Processes in the Evaluation of Corrective Maintenance Scheduling Policies for Offshore Wind Farms

Use of Markov Decision Processes in the Evaluation of Corrective Maintenance Scheduling Policies for Offshore Wind Farms

Literature Survey about Elements of Manufacturing Shop Floor Operation Key Performance Indicators

Management of operation and maintenance practices in photovoltaic plants: Key performance indicators

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