Engineering and Cost Study of an Offshore Wind Farm Compressed Air Energy Storage System

Hurley, William L.; Orthmann, Alan; Lieberman, P.; Enis, Ben M.

doi:10.1109/oses.2019.8867346

Cited by 6 publications

(2 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The upper bound of learning rates is consistent with analyses such as the PelaStar cost of energy [47] and WaveBoost [48]. In these studies, the technological maturity of each major cost item is categorised as "mature", "emerging", or "nascent/emerging 2" with 5%, 10%, and 15-20% learning rates, respectively.…”

supporting

confidence: 68%

Estimating Future Costs of Emerging Wave Energy Technologies

Ruiz‐Minguela

Noble

Nava³

et al. 2022

Sustainability

View full text Add to dashboard Cite

The development of new renewable energy technologies is generally perceived as a critical factor in the fight against climate change. However, significant difficulties arise when estimating the future performance and costs of nascent technologies such as wave energy. Robust methods to estimate the commercial costs that emerging technologies may reach in the future are needed to inform decision-making. The aim of this paper is to increase the clarity, consistency, and utility of future cost estimates for emerging wave energy technologies. It proposes a novel three-step method: (1) using a combination of existing bottom-up and top-down approaches to derive the current cost breakdown; (2) assigning uncertainty ranges, depending on the estimation reliability then used, to derive the first-of-a-kind cost of the commercial technology; and (3) applying component-based learning rates to produce the LCOE of a mature technology using the upper bound from (2) to account for optimism bias. This novel method counters the human propensity toward over-optimism. Compared with state-of-the-art direct estimation approaches, it provides a tool that can be used to explore uncertainties and focus attention on the accuracy of cost estimates and potential learning from the early stage of technology development. Moreover, this approach delivers useful information to identify remaining technology challenges, concentrate innovation efforts, and collect evidence through testing activities.

show abstract

supporting

confidence: 68%

Estimating Future Costs of Emerging Wave Energy Technologies

Ruiz‐Minguela

Noble

Nava³

et al. 2022

Sustainability

View full text Add to dashboard Cite

show abstract

“…Current figures suggest that the levelised cost of electricity (LCOE) is between $58 to $76/MWh for wind energy [5]. There exists some recent literature looking at hybrid systems including wind and battery technology [6,7] and wind and hydrogen technology [8,9]. Reference 6 uses a LCOE for a wind farm of $60/MWh and then calculates separately the cost of storage (battery and compressed air).…”

Section: Introductionmentioning

confidence: 99%

Techno-Economic Analysis of Low Carbon Hydrogen Production from Offshore Wind Using Battolyser Technology

et al. 2022

View full text Add to dashboard Cite

A battolyser is a combined battery electrolyser in one unit. It is based on flow battery technology and can be adapted to produce hydrogen at a lower efficiency than an electrolyser but without the need for rare and expensive materials. This paper presents a method of determining if a battolyser connected to a wind farm makes economic sense based on stochastic modelling. A range of cost data and operational scenarios are used to establish the impact on the NPV and LCOE of adding a battolyser to a wind farm. The results are compared to adding a battery or an electrolyser to a wind farm. Indications are that it makes economic sense to add a battolyser or battery to a wind farm to use any curtailed wind with calculated LCOE at £56/MWh to £58/MWh and positive NPV over a range of cost scenarios. However, electrolysers, are still too expensive to make economic sense.

show abstract

Comparing the Pressure Containment Requirements of Three Subsea Hydro-Pneumatic Energy Storage Concepts

Sant,

Aquilina,

Cutajar

et al. 2024

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

Hydro-pneumatic energy storage has significant potential for being deployed subsea and co-located with offshore wind farms. The pressure containment storing the compressed air is the bulkiest and most expensive component of such a storage technology. This paper evaluates three different subsea hydro-pneumatic energy storage concepts, comparing their volumetric storage densities, the steel and concrete anchoring requirements and cost of the pressure containment. The pressure variation experienced by the pressure containment across the storage cycle for the three variants, which would impact the efficiency of energy conversion machinery, is also compared. It is shown that having separate accumulators, each designed for a different operating pressure, offers the potential of reducing the cost of the pressure containment by up to 40% as compared to that for the simple concept having a single accumulator. A novel approach is presented to achieve such cost reduction without constraining the energy conversion machinery to operate over a wider operating pressure range.

show abstract

Engineering and Cost Study of an Offshore Wind Farm Compressed Air Energy Storage System

Cited by 6 publications

References 1 publication

Estimating Future Costs of Emerging Wave Energy Technologies

Estimating Future Costs of Emerging Wave Energy Technologies

Techno-Economic Analysis of Low Carbon Hydrogen Production from Offshore Wind Using Battolyser Technology

Comparing the Pressure Containment Requirements of Three Subsea Hydro-Pneumatic Energy Storage Concepts

Contact Info

Product

Resources

About