scholarly journals Environmental Permitting and Compliance Cost Reduction Strategies for the MHK Industry: Lessons Learned from Other Industries

2020 ◽  
Vol 8 (8) ◽  
pp. 554
Author(s):  
Sharon Kramer ◽  
Craig Jones ◽  
Geoffrey Klise ◽  
Jesse Roberts ◽  
Anna West ◽  
...  

The marine and hydrokinetic (MHK) industry plays a vital role in the U.S. clean energy strategy by providing a renewable, domestic energy source that may offset the need for traditional energy sources. The first MHK deployments in the U.S. have incurred very high permitting costs and long timelines for deploying projects, which increases project risk and discourages investment. A key challenge to advancing an economically competitive U.S. MHK industry is reducing the time and cost required for environmental permitting and compliance with government regulations. Other industries such as offshore oil and gas, offshore wind energy, subsea power and data cables, onshore wind energy, and solar energy facilities have all developed more robust permitting and compliance pathways that provide lessons for the MHK industry in the U.S. and may help inform the global consenting process. Based on in-depth review and research into each of the other industries, we describe the environmental permitting pathways, the main environmental concerns and types of monitoring typically associated with them, and factors that appear to have eased environmental permitting and compliance issues.

Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 5048
Author(s):  
Zachary Barr ◽  
Jesse Roberts ◽  
William Peplinski ◽  
Anna West ◽  
Sharon Kramer ◽  
...  

The marine renewable energy (MRE; renewable energy captured from waves, tides, ocean currents, the natural flow of water in rivers, and marine thermal gradients, without building new dams or diversions) industry has a vital role in the U.S. clean energy strategy as we progress to meet U.S. electricity and blue economy needs with renewable, domestic energy sources. However, a thorough assessment of the U.S. marine energy permitting process from the viewpoints of both developers that propose projects and regulators that permit them has not been performed. Sharing practical experiences in this new industry is vital to increase the efficiency and effectiveness of the permitting process, identify data and information gaps, develop lessons learned, and advance the industry. This paper is a case study of qualitative findings, lessons learned, and recommendations from guided discussions, workshops, and webinars with both marine renewable energy developers and state and federal regulators that have experience in the permitting process in the U.S.


2021 ◽  
Author(s):  
Gunther A Newcombe

Abstract The ORION (Opportunity Renewables Integration Offshore Networks) project was launched in April 2020 when Shetland Island Council (SIC) and the OGTC formed a strategic partnership to work on an energy hub concept with Highland & Islands Enterprise (HIE), government and industry. Strathclyde University joined in May 2021 as a strategic partner. Shetland has all the critical ingredients of clean energy provision There is significant onshore and offshore wind and tidal resource; strategically important hydrocarbon resource; established oil and gas infrastructure; and a knowledgeable and skilled local workforce. The aim of ORION is threefold:- To enable offshore oil and gas sector transition to net zero by electrification, utilising initially onshore and then offshore wind, sustaining thousands of jobs and security of supply.To transform Shetland's current dependency on fossil fuels to affordable renewable energy to address fuel poverty and improve community wealth.To create a green hydrogen export business on Shetland at industrial scale by harnessing offshore wind power and creating new jobs. ORION has set several ambitious targets by 2050. These include abating 8mT/year of CO2 from offshore oil and gas production; supplying 32TWh of low carbon hydrogen annually - 12% of UK expected requirement; and generating more than 3GW of wind. The annual revenue generated by the project by 2050 would be around £5Bn per annum and provide sustainable employment, both locally and regionally, for 1750 people. Techno-economic screening is currently underway, and several individual opportunities are undergoing concept and feasibility analysis. The ORION project is transformational, on both a local and regional scale, positioning Shetland as one of the first green energy islands in the UK.


2021 ◽  
Author(s):  
Chengcheng Gu ◽  
Hua Li ◽  
Francisco Haces-Fernandez

Abstract Offshore oil and gas platforms use gas turbine with natural gas or fuel diesel for their high demand of power. Due to the declining amount of gas available, high carbon footprint, increasing cost of fuel and inefficient operating, alternative energy options are necessary and imminent. Most offshore oil and gas platforms locate in deep water surrounded by huge amount of energetic wave resources, hence, the feasibility of supplying offshore oil facilities electricity by hybrid wave and wind energy farms based on daily energy power production instead of annual average was conducted in this project. The hybrid energy farm was modeled and validated by applying meteorological data in Gulf of Mexico area from WaveWatch III system. With the hindcast wave and wind condition data from 1979 to 2019, daily energy generation of the hybrid energy farm was estimated. Meantime, the feasibility of suppling offshore oil and gas facilities by the proposed combined hybrid farm was assessed. The project optimized the configuration of the hybrid wave and wind energy farm to satisfy offshore oil and gas platform demands and reduce the variation of power generation, so that it may be feasibility to gradually substitute the gas turbines. Through matching the local wave and wind conditions, the project was able to maximize the power output while minimize the variation within limited ocean surface area. The project addressed the advantages of hybrid wave and wind devices, as well as theoretical prospection of wave harvesting device and wind turbine combination. To validate the proposed optimization model, a case study was explored by using Vesta V90 3MW wind turbines and Pelamis 750kW wave energy converters to supply five offshore platforms in more than 45 m deep water areas. The results indicated the possibility of bringing wave energy into large commercial operation and utilization with minor investment and environmental impact.


2020 ◽  
Vol 54 (6) ◽  
pp. 37-43
Author(s):  
Alicia M. Gorton ◽  
Will J. Shaw

AbstractAs countries continue to implement sustainable and renewable energy goals, the need for affordable low-carbon technologies, including those related to offshore wind energy, is accelerating. The U.S. federal government recognizes the environmental and economic benefits of offshore wind development and is taking the necessary steps to overcome critical challenges facing the industry to realize these benefits. The U.S. Department of Energy (DOE) is investing in buoy-mounted lidar systems to facilitate offshore measurement campaigns that will advance our understanding of the offshore environment and provide the observational data needed for model validation, particularly at hub height where offshore observations are particularly lacking. On behalf of the DOE, the Pacific Northwest National Laboratory manages a Lidar Buoy Program that facilitates meteorological and oceanographic data collection using validated methods to support the U.S. offshore wind industry. Since being acquired in 2014, two DOE lidar buoys have been deployed on the U.S. east and west coasts, and their data represent the first publicly available multi-seasonal hub height data to be collected in U.S. waters. In addition, the buoys have undergone performance testing, significant upgrades, and a lidar validation campaign to ensure the accuracy and reliability of the lidar data needed to support wind resource characterization and model validation (the lidars were validated against a reference lidar installed on the Air-Sea Interaction Tower operated by the Woods Hole Oceanographic Institution). The Lidar Buoy Program is providing valuable offshore data to the wind energy community, while focusing data collection on areas of acknowledged high priority.


2020 ◽  
Author(s):  
Philipp C Beiter ◽  
Jessica K Lau ◽  
Joshua E Novacheck ◽  
Qing Yu ◽  
Gordon W Stephen ◽  
...  

2019 ◽  
Vol 185 ◽  
pp. 12-26 ◽  
Author(s):  
Amos Necci ◽  
Stefano Tarantola ◽  
Bogdan Vamanu ◽  
Elisabeth Krausmann ◽  
Luca Ponte

1978 ◽  
Vol 18 (02) ◽  
pp. 87-95 ◽  
Author(s):  
Elmer L. Dougherty ◽  
John Lohrenz

Abstract This study of Outer Continental Shelf (OCS) bid data, plus a critical analysis of other such studies, was made to determine the impact of joint bidding on competitiveness of OCS lease sales, It concludes that no class of joint bids has been shown to reduce the level of competition. Banning joint bidding by two or more major oil companies did result in an abrupt increase in the number of pint bids that included one major. Introduction Sealed, competitive bids for U.S. offshore oil and gas leases are classed as either solo or joint bids. Solo bids are submitted by one bidder with 100-percent ownership. Joint bids are submitted by several bidders who divide ownership among themselves. The pragmatic question that triggered this study was, "Is there a kind of solo or joint bid whose occurrence tends to decrease the number of sealed, competitive bids?" Such a bid would lower the level of competition. This study reports the results of a statistical analysis to measure the impact of joint bidding on the level of competition in sales of U.S. oil and gas leases. The study first presumed that the level of competition increases as the number of competing bids increases. This presumption while not unassailable, also was not unreasonable. Three previous studies of solo and joint bidding were reviewed first, revealing that conclusions drawn by two of the studies are statistically unsupported. Our study of the pragmatic question found no consistent correlation supporting a positive answer to the question. The U.S. policy regulation proscribing joint bids involving two or more majors tended to broaden the proportion and number of bids involving majors. REVIEW OF PREVIOUS STUDIES OF FEDERAL OFFSHORE SOLO AND JOINT BIDS Joint bidding for U.S. offshore oil and gas leases has been seated in previous studies of which three will be reviewed in detail. GASKINS AND VANN Gaskins and Vann computed values of the ratio of the sum of the highest bids to the sum of the U.S. presale estimates, Fmax/est, for leases that presale estimates, Fmax/est, for leases that received the same number(s) of bids. Precise definition of Fmax/est is given in the Nomenclature. Gaskins and Vann observed that values of F increased with n, from which they concluded the "government gets a larger percentage of its estimated value when there are more bidders." For the March 28, 1974, sale, Gaskins and Vann calculated Fmax/est for four different categories of highest bids:all bids,bids in which only nonmajors were involved,bids in which one or more majors were involved, andbids in which Mobil Oil Corp. was a participant. (No list was given of which bidders are classed as major.) Values of Fmax/est when majors and/or Mobil were involved in the highest bid were more often lower than for the other categories of highest bids. From this, Gaskins and Vann concluded that the "data support the hypothesis that major oil companies, and Mobil in particular, were able to attain lower winning bids..." We recalculated values of F,../est for the March 28, 1974, sale. These are shown in Table 12 along with comparable values of Fm../mean and Fmean/est. The agreement between values of Fmax/est presented by Gaskins and Vann and in Table 1 is excellent in most cases. Some of the differences, however, may be explained by differing definitions of majors. We considered these eight companies as major: Amoco International Oil Co., British Petroleum Ltd., Chevron U.S.A. Inc., Exxon Corp., Gulf Oil Corp., Mobil Oil Corp., Shell Oil Co., Texaco Inc. Other differences may be caused by disagreements in source data and/or computations.


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