A combined supply chain optimisation model for the installation phase of offshore wind projects (original) (raw)
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This paper investigates the logistics capabilities of offshore wind ports, namely physical characteristics, connectivity and layout of the port, for supporting the installation and operation and maintenance phases of offshore wind projects. The relative significance of these criteria is determined using the Analytical Hierarchy Process (AHP). The AHP methodology is then applied in a case study as a decision-making tool to enable decision makers to assess the suitability of a number of ports for an offshore wind farm located off the North Sea coast of the United Kingdom (UK).
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A model proposal for selecting the installation location of offshore wind energy turbines
International Journal of Energy and Environmental Engineering, 2021
Renewable energy has an important role in every country as it meets the energy needs of countries with natural resources by reducing their external dependency, increasing their sustainable energy orientation and minimizing the environmental damage caused by energy consumption. Turkey is approximately 72% dependent on foreign energy and has turned to renewable energy sources to reduce this rate since 2009. In 2019, it supplied 46% of its energy needs from renewable sources. It aims to increase the share of resources in total electricity generation up to 65% in 2023 and continues its investments in this regard. In the study, a decision model using the Geographic Information System (GIS) and Fuzzy Analytical Hierarchy Process (FAHP) is proposed to expose Turkey's current renewable energy potential and to determine the regions where wind power plants can be established in the Aegean Sea. In the proposed algorithm, criteria were determined in the Aegean Sea Çanakkale Region, in order to determine the regions where the wind energy turbines would be located, and priority values were determined with FAHP. Priorities with the determined vector data format were combined into one layer by combining them in GIS software ArcGIS. The examined region was divided into three categories (the most appropriate, appropriate, and not suitable) and sensitivity analysis was carried out.
Improving logistics scheduling and operations to support offshore wind construction phase
Logist. Res., 2019
The increasing construction of offshore wind farms and the expected improved profitability call for a better efficiency in offshore logistics. The purpose of this study is to propose scheduling and operations improvements for logistics to support offshore wind construction. The study conducts a literature review of scientific studies on the offshore wind logistics. Based on this review, a definition of offshore wind logistics during construction phase is proposed. It can be seen that only a few studies have focused on offshore wind logistics (except installation vessel) duringwind turbine construction phase. To help closing this gap, a model is proposed to evaluate and select offshore logistics spread in order to support construction phase. Results on simulations show that logistics spread efficiency varies depending on the season, distance to shore and geographical location. Adaptation and combination of logistics concepts may be necessary to achieve best cost efficiency. The resul...
Optimization of offshore wind farm installation procedure with a targeted finish date
2017
Offshore Wind Farm (OWF) installation procedure is a complicated phase requiring excellent management of resources for timely completion of tasks. The wind farm installation period involves crucial stages like streamlining onshore logistics, transportation of components on vessels, installation of foundations, wind turbines, and cable laying, etc. With wind turbine size growing and OWFs moving into deeper waters, the complexity of the installation procedure is also intensifying correspondingly. Moreover, the installation process can experience uncertainty due to harsh weather conditions, possible equipment failures and component delivery delays during the build. Additionally, the resources used in the installation phase are needed for the subsequent projects and have limited flexibility with end dates. This finally results in a considerable ambiguity in end date and cost incurred during the project. This graduation study looks at optimization of OWF installation procedure with a tar...
Journal of Physics: Conference Series, 2018
The offshore wind sector has achieved significant cost reductions in recent years. However, there is still work to be done to maintain and surpass these savings across current and future farms. There is increased competition to reduce costs within the industry itself. Additional challenges are foreseen at future sites located further from shore, in harsher conditions and deeper waters. Larger turbines and projects also mean new equipment, logistics and maintenance requirements. Moreover, farms are approaching the decommissioning phase where there is little experience. Modelling is a safe and cost-effective way to evaluate and optimise operations. However, there is a lack of comprehensive decision-support tools, detailed enough to provide insight into the effects of technological innovations and novel strategies. To address the gap, the EU FP7 LEANWIND project developed a suite of state-of-the-art logistics optimisation and financial simulation models. They can assess a farm scenario in detail at every stage of the project lifecycle and supply-chain, identifying potential cost reductions and more efficient strategies. This paper introduces the models including: an overview of their scope and capabilities; how they can be applied; and the potential end users.
Improving Logistics Efficiency in Offshore Wind Farms Construction
2018
The increasing construction of offshore wind farms and their expected improved profitability call for a better efficiency in offshore logistics. Based on some existing principles from optimizing production techniques, this paper proposes an ad hoc model to measure and improve efficiency for logistics during offshore wind farms construction.
Minimizing transportation and installation costs for turbines in offshore wind farms
Renewable Energy, 2017
Building an offshore wind energy facility is an undertaking of large capital investment. The cost of such transportation and installation depends on the time to complete these processes. The cost can be minimized by an optimum selection of variables of transportation and installation operations such as onshore pre-assembly of turbines and their rated power outputs. Other factors such as learning rates for lifting and assembly operation, port-to-farm site distance, vessel deck area and lifting rate of the vessel crane have significant effects on the system cost. A model based on these costs is developed for wind turbine installation and transportation in an offshore wind farm, and the impact of decision variables on total cost of transportation and installation is investigated here. The effects of wind farm and vessel parameters on cost are studied such that an optimal set of system parameters is chosen to minimize the total cost of transportation and installation. A numerical analysis is performed to illustrate the model and to understand the general behavior of different system parameters. The results show that the total cost is significantly impacted by turbine size and pre-assembly method. Also, the scheduled maintenance help reduce the cost significantly that the unscheduled maintenance.
Journal of Transportation Management, 2011
The accelerated globalization of logistics activities over the last several decades has spurred a rapid expansion of port facilities all cross the world. However, the recent slowdown of international trade, coupled with a global financial crisis, has created an on-going glut of international port facilities throughout the world. Although the abundance of port facilities provides more transshipment options for carriers and shippers, it makes the port selection decision more complex and difficult. To cope with this new set of challenges, this paper proposes a hybrid data envelopment analysis (DEA)/ analytic hierarchy process (AHP) model that is designed to identify factors specifically influencing transshipment port selection, evaluates the extent of influence of those factors on a transshipment port selection decision, and then determines the most critical ones among various factors. To illustrate the usefulness of the proposed hybrid DEA/AHP model, major container hub ports in Far-E...
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Brazilian agribusiness plays an important role in world trade, especially soy. The CentralWest and North regions have shown expansion of production and, thus, requiring new export alternatives. Decision factors for the investment of specialized port terminals in the area known as Arco Norte, that is, ports located in the Northeast and North of the country are addressed in this paper. The Analytic Hierarchy Process (AHP) decision tool was used as a methodology using a questionnaire applied to managers and specialists of the port scenario, to identify and qualify decision criteria for investments in the alternatives of public port terminal leasing and private terminal deployment, possibilities considered in Brazilian regulatory legislation. Priority was for the investment on Private Use Terminals, which has been effective in recent years.