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Offshore Wind Energy Cost Modeling

Author : Mark J Kaiser
Publisher : Springer Science & Business Media
Page : 243 pages
File Size : 41,17 MB
Release : 2012-01-13
Category : Science
ISBN : 1447124871

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Offshore wind energy is one of the most promising and fastest growing alternative energy sources in the world. Offshore Wind Energy Cost Modeling provides a methodological framework to assess installation and decommissioning costs, and using examples from the European experience, provides a broad review of existing processes and systems used in the offshore wind industry. Offshore Wind Energy Cost Modeling provides a step-by-step guide to modeling costs over four sections. These sections cover: ·Background and introductory material, ·Installation processes and vessel requirements, ·Installation cost estimation, and ·Decommissioning methods and cost estimation. This self-contained and detailed treatment of the key principles in offshore wind development is supported throughout by visual aids and data tables. Offshore Wind Energy Cost Modeling is a key resource for anyone interested in the offshore wind industry, particularly those interested in the technical and economic aspects of installation and decommissioning. The book provides a reliable point of reference for industry practitioners and policy makers developing generalizable installation or decommissioning cost estimates.

Offshore Wind Balance-of-System Cost Modeling

Author :
Publisher :
Page : 1 pages
File Size : 28,70 MB
Release : 2015
Category :
ISBN :

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Offshore wind balance-of-system (BOS) costs contribute up to 70% of installed capital costs. Thus, it is imperative to understand the impact of these costs on project economics as well as potential cost trends for new offshore wind technology developments. As a result, the National Renewable Energy Laboratory (NREL) developed and recently updated a BOS techno-economic model using project cost estimates created from wind energy industry sources.

A Probabilistic Approach to Wind Energy Generation Costs in Italy

Author : Andrea Francesco Domeneghini
Publisher : LAP Lambert Academic Publishing
Page : 144 pages
File Size : 29,66 MB
Release : 2011-12
Category :
ISBN : 9783847319337

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This work undertakes a probabilistic analysis of the current private LUEC - Levelized Unit Energy Cost of electricity produced by large offshore and onshore wind power plants in Italy. The calculations of the implemented LUEC model use factors whose data was collected throughout relevant existing literature on the subject. The calculations are performed using the Monte Carlo method with a number of trials dependent upon the achievement of desired confidence and precision levels for selected statistics of the resulting LUECs' probability distributions curves. By means of a sensitivity analysis, the dissection of the results of this work points to a major influence of the territorial factor in the onshore energy cost and to a combination of territorial and technological factors in the offshore one. The work also analyses the impacts of the cost necessary to upgrade the electric grid in order to accommodate increasing levels of wind power and of the negative externalities produced by this source on, respectively, the public and the social cost of wind electricity. The incentives systems used by the Italian government to support wind energy are then discussed in light of the results.

An Enumerated Probabilistic Simulation Technique and Case Study

Author :
Publisher :
Page : 0 pages
File Size : 23,99 MB
Release : 1996
Category :
ISBN :

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Production cost, generation expansion, and reliability models are used extensively by utilities in the planning process. However, many of these models do not provide adequate means for representing the full range of potential variation in wind power plants. In order to properly account for expected variation in wind-generated electricity in these models, we describe an enumerated probabilistic approach that can be performed outside the production cost model, compare it with a reduced enumerated approach, and present some selected utility results. Our technique can be applied to any model, and can result in a considerable reduction in model runs. We use both a load duration curve model and a chronological model to measure wind plant capacity credit, and also present some other selected results.

A Spatial-Economic Cost-Reduction Pathway Analysis for U.S. Offshore Wind Energy Development from 2015-2030

Author :
Publisher :
Page : 214 pages
File Size : 29,16 MB
Release : 2016
Category :
ISBN :

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This report describes a comprehensive effort undertaken by the National Renewable Energy Laboratory (NREL) to understand the cost of offshore wind energy for markets in the United States. The study models the cost impacts of a range of offshore wind locational cost variables for more than 7,000 potential coastal sites in U.S. offshore wind resource areas. It also assesses the impact of more than 50 technology innovations on potential future costs for both fixed-bottom and floating wind systems. Comparing these costs to an initial site-specific assessment of local avoided generating costs, the analysis provides a framework for estimating the economic potential for offshore wind. The analysis is intended to inform a broad set of stakeholders and enable an assessment of offshore wind as part of energy development and energy portfolio planning. It provides information that federal and state agencies and planning commissions could use to inform initial strategic decisions about offshore wind developments in the United States.

A Spatial-Economic Cost-Reduction Pathway Analysis for U.S. Offshore Wind Energy Development from 2015{u2013}2030

Author :
Publisher :
Page : 214 pages
File Size : 13,3 MB
Release : 2016
Category :
ISBN :

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This report describes a comprehensive effort undertaken by the National Renewable Energy Laboratory (NREL) to understand the cost of offshore wind energy for markets in the United States. The study models the cost impacts of a range of offshore wind locational cost variables for more than 7,000 potential coastal sites in U.S. offshore wind resource areas. It also assesses the impact of more than 50 technology innovations on potential future costs for both fixed-bottom and floating wind systems. Comparing these costs to an initial site-specific assessment of local avoided generating costs, the analysis provides a framework for estimating the economic potential for offshore wind. The analysis is intended to inform a broad set of stakeholders and enable an assessment of offshore wind as part of energy development and energy portfolio planning. It provides information that federal and state agencies and planning commissions could use to inform initial strategic decisions about offshore wind developments in the United States.

Enumerated Probabilistic Simulation Technique and Case Study

Author : National Renewable Energy Laboratory (Nr
Publisher : Scholar's Choice
Page : 22 pages
File Size : 38,33 MB
Release : 2015-02-16
Category :
ISBN : 9781297043871

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