A Markov model for planning and permitting offshore wind energy: A case study of radio-tracked terns in the Gulf of Maine, USA

2017 ◽  
Vol 193 ◽  
pp. 400-409 ◽  
Author(s):  
Alexana Cranmer ◽  
Jennifer R. Smetzer ◽  
Linda Welch ◽  
Erin Baker
Keyword(s):  
Wind Energy ◽  
Markov Model ◽  
Gulf Of Maine ◽  
Offshore Wind ◽  
Offshore Wind Energy

Evaluating and Improving NWP Forecast Models for the Future: How the Needs of Offshore Wind Energy Can Point the Way

2018 ◽  
Vol 99 (6) ◽  
pp. 1155-1176 ◽  
Author(s):  
Robert M. Banta ◽  
Yelena L. Pichugina ◽  
W. Alan Brewer ◽  
Eric P. James ◽  
Joseph B. Olson ◽  
...  
Keyword(s):  
Wind Energy ◽  
Sea Level ◽  
Wind Profile ◽  
Gulf Of Maine ◽  
Offshore Wind ◽  
Offshore Wind Energy ◽  
Model Errors ◽  
High Quality ◽  
Forecast Lead Time ◽  
Nwp Model

AbstractTo advance the understanding of meteorological processes in offshore coastal regions, the spatial variability of wind profiles must be characterized and uncertainties (errors) in NWP model wind forecasts quantified. These gaps are especially critical for the new offshore wind energy industry, where wind profile measurements in the marine atmospheric layer spanned by wind turbine rotor blades, generally 50–200 m above mean sea level (MSL), have been largely unavailable. Here, high-quality wind profile measurements were available every 15 min from the National Oceanic and Atmospheric Administration/Earth System Research Laboratory (NOAA/ESRL)’s high-resolution Doppler lidar (HRDL) during a monthlong research cruise in the Gulf of Maine for the 2004 New England Air Quality Study. These measurements were compared with retrospective NWP model wind forecasts over the area using two NOAA forecast-modeling systems [North American Mesoscale Forecast System (NAM) and Rapid Refresh (RAP)]. HRDL profile measurements quantified model errors, including their dependence on height above sea level, diurnal cycle, and forecast lead time. Typical model wind speed errors were ∼2.5 m s−1, and vector-wind errors were ∼4 m s−1. Short-term forecast errors were larger near the surface—30% larger below 100 m than above and largest for several hours after local midnight (biased low). Longer-term, 12-h forecasts had the largest errors after local sunset (biased high). At more than 3-h lead times, predictions from finer-resolution models exhibited larger errors. Horizontal variability of winds, measured as the ship traversed the Gulf of Maine, was significant and raised questions about whether modeled fields, which appeared smooth in comparison, were capturing this variability. If not, horizontal arrays of high-quality, vertical-profiling devices will be required for wind energy resource assessment offshore. Such measurement arrays are also needed to improve NWP models.

scholarly journals Viability of Creating an Offshore Wind Energy Cluster: A Case Study

2020 ◽  
Vol 11 (1) ◽  
pp. 308
Author(s):  
Helena Junqueira ◽  
Margarita Robaina ◽  
Susana Garrido ◽  
Radu Godina ◽  
João C. O. Matias
Keyword(s):  
Wind Energy ◽  
Value Chain ◽  
Cluster Structure ◽  
International Markets ◽  
Offshore Wind ◽  
Energy Market ◽  
Offshore Wind Energy ◽  
Case Study Methodology ◽  
Energy Cluster

Considering the advantages associated with the port sector concerning the potential of offshore wind energy, several international ports are aiming to achieve a solid integration in offshore wind energy clusters. This article performs an analysis of several seaports and offshore wind energy clusters in Europe to assess the feasibility of implementing an offshore wind energy cluster in the Port of Aveiro, Portugal. A deep literature review and a case study methodology were performed. Based on the analysis of the offshore energy market, and of the value chain of the company case study (ASM Offshore), it was concluded that the Portuguese market in this sector is not competitive, compared with other international markets. Nevertheless, the development of an offshore wind energy cluster could increase the included companie’s prospects, as well as dispute the growth of other companies associated with this sector. This research is relevant, because there is a lack of research that links the importance of seaports in offshore wind energy projects, in particular with a cluster structure, and because it contributes to knowledge for the development of the Aveiro region and Portugal, based on the exploitation of the renewable energy market and to the increase of related activities.

Orchestration of dynamic capabilities for competitive advantage

2019 ◽  
Vol 13 (4) ◽  
pp. 960-976 ◽  
Author(s):  
Tove Brink
Keyword(s):  
Wind Energy ◽  
Competitive Advantage ◽  
Dynamic Capabilities ◽  
Offshore Wind ◽  
Business Networks ◽  
Offshore Wind Energy ◽  
Content Type ◽  
Wind Park ◽  
Multiple Case

Purpose This paper aims to shed light on how offshore wind park business networks can orchestrate dynamic capabilities to enable innovation for the competitive advantage of renewable offshore wind energy. Design/methodology/approach The research is based on a qualitative multiple-case study of operation and maintenance activities in offshore wind parks, starting in June 2014 with a pilot qualitative case study and the main qualitative multiple-case research conducted via in-depth interviews with 20 enterprises. The preliminary findings were presented for the qualitative triangulation of comments in a seminar in May 2015. Findings The findings explain the need for collaboration across the business network through the use of an open innovation platform for orchestrating dynamic signature capabilities in combination with ordinary capabilities. Both locally distributed leadership and central leadership in knowledge creation are necessary ingredients. The model developed from the research findings shows the need to change the competitive advantage criteria within business networks to VRIS (valuable, rare, imitable, substitutable) in contrast to the traditional criteria for individual enterprises of VRIN (valuable, rare, imperfectly imitable, non-substitutable). Research limitations/implications The research is focused on offshore wind park business networks, and therefore, the generalizability of this qualitative case study to other contexts can be limited. Further research is thus needed to verify the findings. Originality/value A three-fold contribution is made to the understanding of the integrated combination of orchestrating dynamic capabilities in the offshore wind energy sector. Business networks, academia and policy bodies are given a model for enacting the competitive advantage of renewable offshore wind energy for the benefit of society.

Challenges to Bridging Discrepant Knowledge Bases: A Case Study of the Norwegian Centre for Offshore Wind Energy

2013 ◽  
Vol 22 (11) ◽  
pp. 2389-2410 ◽  
Author(s):  
Rune Njøs ◽  
Stig-Erik Jakobsen ◽  
Jens Kristian Fosse ◽  
Christine Engelsen
Keyword(s):  
Wind Energy ◽  
Knowledge Bases ◽  
Offshore Wind ◽  
Offshore Wind Energy
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