Operation and Maintenance Modelling

Welte, Thomas Michael; Sperstad, Iver Bakken; Halvorsen-Weare, Elin Espeland; Netland, Øyvind; Nonås, Lars Magne; Stålhane, Magnus

doi:10.1002/9781119097808.ch7

Cited by 10 publications

(9 citation statements)

References 35 publications

(35 reference statements)

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“…For projects, for example, offshore oil and gas production, the construction of «cloud» ports, etc., both land and sea transport are used. Moreover, for offshore oil and gas production projects, various types of sea vessels are involved [2][3][4]: universal -for the transportation of oversized equipment and parts of platforms, tugs -for food, people and equipment of small size.…”

Section: Introductionmentioning

confidence: 99%

Modelling the project transport support optimal option

Rusanova¹,

Piterska²,

Onyshchenko³

2021

TAPR

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The object of research is the processes of planning transport provision of projects. The vast majority of projects involve the creation of tangible objects as a product. The implementation of such projects is associated with the use of various types of materials and equipment, which necessitates transport services for the functioning of the project logistics system. Vehicles with different characteristics can be used to solve the same transportation problems. Also, for large-scale infrastructure projects, rental of vehicles is often used for the duration of the project. This allows, on the one hand, to save on transportation costs, on the other hand, to gain complete control over the transportation processes in the project. As a research result, an optimization model has been developed for determining the option of transport support for the project. The variant of transport support of the project is understood as a set of combinations of types and types of vehicles, their characteristics and conditions of use in the project for the work of the project that provide for transport services. Acquisition, lease or transport services from the project suppliers are considered as conditions for the use of vehicles in the project. The optimization criterion is the cost of transport support, taking into account their possible increase, as well as the potential risks of losses associated with the failure to complete the work. Constraints take into account costs, time to receive a project product, and availability of transportation options. Experimental calculations, a fragment of which is presented in the research, demonstrated the efficiency of the developed model, its adequacy and reliability of the results obtained with its help. The area of practical use of the model is making decisions about transportation at the stage of project planning. The model allows for «what-if» experiments, which reflect various scenarios that are possible in the transportation of the project. And this, in turn, allows at the stage of project planning to assess the possible risks associated with transportation, and to establish their impact on the project as a whole.

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Section: Introductionmentioning

confidence: 99%

Modelling the project transport support optimal option

Rusanova¹,

Piterska²,

Onyshchenko³

2021

TAPR

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“…Energy profits from offshore wind farm projects are usually estimated via simulation experiments that mimic wind turbine activity, including turbine failures and associated maintenance activities and logistics, along with physical and weather conditions at sea, yielding economic values as output. Several such simulation tools have been developed, see for instance Hofmann (2011), Welte et al (2018) and Seyr and Muskulus (2019) for overviews.…”

Section: Complex Simulators For Decision Supportmentioning

confidence: 99%

“…The methodologies presented in this paper are motivated by an application involving the operation and maintenance (O&M) of offshore wind farms (Tavner 2012). A survey from Welte et al (2018) indicated that the O&M cost of an offshore farm lies between 12-32% of its total Levelized Cost of Energy (LCOE), and according to a report from the International Renewable Energy Agency, the LCOE for offshore wind turbines is 2.3 times higher than that of onshore wind turbines (IRENA 2018). For offshore wind power to be competitive with other sources of renewable energy, the costs related to O&M must hence be reduced.…”

Section: Introductionmentioning

confidence: 99%

Value of Information Analysis for Complex Simulator Models: Application to Wind Farm Maintenance

et al. 2020

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Many domains require the use of sophisticated simulators to adequately model the effect of chosen alternatives on the decision maker’s value. Decision support in such complex systems brings unique challenges around efficiency, because simulating each combination of inputs can be time-consuming. In this paper, we conduct a value of information (VOI) analysis to study whether one should purchase information about critical input uncertainties in such complex systems. We propose a novel computational approach, where Gaussian processes are used to model the decision maker’s profit as a function of different alternatives and uncertainties. Under this modeling assumption, the expected improvement of the profit is analytically available, which we use to approximate the VOI effectively over batches of simulations, thus avoiding too many computer-intensive evaluations of the system. We illustrate the proposed computational approach with an offshore wind farm maintenance application, where the decision maker relies on outputs from large-scale simulations to determine the optimal vessel fleet mix and number of personnel for operation and maintenance. Such computer-intensive simulations mimic long-term energy production under different input conditions. It is often not possible to explore all the alternatives exhaustively, and one must therefore guide the simulations to run on promising alternatives. We conduct a VOI analysis to study whether one should purchase information about failure rates of wind turbines for this application. The proposed methodologies are general and apply to other domains involving expensive simulators.

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“…The second category of research (for example, [13,14) addresses the maintenance of field development projects. The focus of such studies is either a service schedule [14] or the optimization of service processes in terms of routes [15]. In addition, in some studies, transportation is considered as a project, that is, a design-oriented approach to cargo delivery is used [16].…”

Section: Research Of Existing Solution Of the Problemmentioning

confidence: 99%

Modeling the costs of project transportation maintenance

Rusanova¹

2020

TAPR

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This study investigates variants in transportation maintenance of projects. The study subject is the mathematical notation of the dependence of costs incurred during the transportation maintenance of a project on the characteristics of maintenance options. Most projects involve a transportation component, which relates to the need to deliver raw materials, materials, equipment, manpower to the location of the product project (for example, construction projects, infrastructure projects). This study aims to identify variants in the transportation maintenance of projects, to establish mathematical dependences of transportation costs depending on the characteristics of vehicles and the conditions for their use in projects. The characteristics of the vehicles and the conditions of their operation in the projects form the essence of a specific variant of the transportation maintenance of a project. Each alternative transportation maintenance option affects the project, first of all, at the cost level. Therefore, the optimal transportation maintenance variant for a project should be selected considering the impact of options on project costs. In this study, the basis for modeling the cost of a project's transportation maintenance is the project's network schedule and an analysis of its activities in terms of the need for transportation maintenance. Mathematical expressions for the volume of transportation operations and the required number of vehicles of different types have been consistently derived. Cost dependences for three variants of vehicle utilization (rent, service, acquisition) have been derived, based on vehicle characteristics, for three levels of project consideration: certain operations, a certain time span, the project in general. The resulting formalization of transportation maintenance costs makes it possible to vary the characteristics of vehicles and the conditions for their use in a project during the decision-making phase of choosing the transportation maintenance option for a project, or their combination. The reported results underlie further development of the model for optimizing parameters and choosing the transportation maintenance variant of projects.

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Operation and Maintenance Modelling

Cited by 10 publications

References 35 publications

Modelling the project transport support optimal option

Modelling the project transport support optimal option

Value of Information Analysis for Complex Simulator Models: Application to Wind Farm Maintenance

Modeling the costs of project transportation maintenance

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