Environmental impacts of balancing offshore wind power with compressed air energy storage (CAES)

Bouman, Evert A.; Øberg, Martha M.; Hertwich, Edgar G.

doi:10.1016/j.energy.2015.11.041

Cited by 69 publications

(17 citation statements)

References 19 publications

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“…Compressed air energy storage (CAES) systems are a solution to energy storage based on the compression of air [174]. According to [175], the integration of CAES with wind and solar power generation can increase the RES share rate, as CAES is reported as less expensive than other storage systems, and to be large and powerful enough to store energy on a utility scale level [176]. Moreover, due to the high installation and capital cost of undersea transmission cables, offshore CAES can increase the cable's capacity factor, potentially lowering the average cost of offshore wind power while increasing the reliability and economic value of delivered power [177].…”

Section: Compressed Air Energy Storagementioning

confidence: 99%

Offshore Wind Power Integration into Future Power Systems: Overview and Trends

Fernández‐Guillamón

Das

Cutululis

et al. 2019

JMSE

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Nowadays, wind is considered as a remarkable renewable energy source to be implemented in power systems. Most wind power plant experiences have been based on onshore installations, as they are considered as a mature technological solution by the electricity sector. However, future power scenarios and roadmaps promote offshore power plants as an alternative and additional power generation source, especially in some regions such as the North and Baltic seas. According to this framework, the present paper discusses and reviews trends and perspectives of offshore wind power plants for massive offshore wind power integration into future power systems. Different offshore trends, including turbine capacity, wind power plant capacity as well as water depth and distance from the shore, are discussed. In addition, electrical transmission high voltage alternating current (HVAC) and high voltage direct current (HVDC) solutions are described by considering the advantages and technical limitations of these alternatives. Several future advancements focused on increasing the offshore wind energy capacity currently under analysis are also included in the paper.

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Section: Compressed Air Energy Storagementioning

confidence: 99%

Offshore Wind Power Integration into Future Power Systems: Overview and Trends

Fernández‐Guillamón

Das

Cutululis

et al. 2019

JMSE

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“…Thus, policy measures, e.g., energy technology update and energy structure improvement, are strongly recommended for reducing the key sectoral direct-emission coefficients c i (i = 3, 4, 12,13,14,19), and thereby China's total emission intensity to a largely proportional extent (according to the large elasticity ε CEI,c i ). Promising sector-specific measures are as follows: (1) introducing recyclable fluidized bed combustion technology in the chemistry industry (n12) [70]; (2) employing compressed air energy storage technology in the production and supply of electric power industry (n4) [71]; (3) promoting the use of solar energy in the non-metallic mineral industry (n13) [72]; (4) using biodiesel in the transport sector (n19) [73].…”

Section: Subsection Data Descriptionsmentioning

confidence: 99%

Coupling Structural Decomposition Analysis and Sensitivity Analysis to Investigate CO2 Emission Intensity in China

Tang

Zhang

2019

Energies

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A coupled structural decomposition analysis (SDA) and sensitivity analysis approach is developed to explore the drivers of China’s CO2 emission intensity at both general and sectoral levels and from both ex-post and ex-ante perspectives. Two steps are involved—structural decomposition and sensitivity analysis. First, the popular factor decomposition method, SDA, is implemented to identify which drivers “have” made the largest contribution to emission intensity changes. Second, an emerging ex-ante approach, sensitivity analysis, is introduced to answer how and to what extent such drivers “will” influence future emission intensity at a sectoral level. Based on China’s input-output tables for 1997–2012, the empirical study provides a hotspot map of China’s energy system. (1) Direct-emission coefficient and technology coefficient are observed as the top two overall drivers. (2) For the former, reducing direct-emission coefficient in an emission-intensity sector (e.g., electricity and heat sectors) by 1% will mitigate China’s total emission intensity by at least 0.05%. (3) For the latter, future emission intensity is super-sensitive to direct transactions in emission-intensity sectors (particularly the chemical industry with elasticities up to 0.82%).

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“…The wind power generation reached 3% (i.e. 435GW) of global electricity production in 2015 and it is expected to increase from 11.6% (3599 TWh) in 2030 to 14.8% (6145 TWh) in 2050 [3,4]. The increasing utilisation of renewable energy could lead to a new challenge -the imbalance between electricity generation and demand.…”

Section: Introductionmentioning

confidence: 99%

Process design, operation and economic evaluation of compressed air energy storage (CAES) for wind power through modelling and simulation

et al. 2019

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Compressed air energy storage (CAES) could play an important role in balancing electricity supply and demand when linked with fluctuating wind power. This study aims to investigate design and operation of a CAES system for wind power at design and off-design conditions through process simulation. Improved steady-state models for compressors, turbines and the CAES system for wind power were developed in Aspen Plus ® and validated. A pseudo-dynamic model for cavern was developed in Excel. Compressor and turbine characteristic curves were used in model development for process analysis. In the off-design analysis, it was found that the CAES system for wind power at variable shaft speed mode utilise more excess wind energy (49.25MWh), store more compressed air (51.55×10 3 kg), generate more electricity (76.00MWh) and provide longer discharging time than that at constant shaft speed mode. Economic evaluation based on levelized cost of electricity (LCOE) was performed using Aspen Process Economic Analyser ® , it was found that LCOE for the CAES system for wind power at variable shaft speed mode is lower than that at constant shaft speed mode. Research presented in this paper hopes to shed light on design and operation of the CAES system for wind power and cost reduction.

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Environmental impacts of balancing offshore wind power with compressed air energy storage (CAES)

Cited by 69 publications

References 19 publications

Offshore Wind Power Integration into Future Power Systems: Overview and Trends

Offshore Wind Power Integration into Future Power Systems: Overview and Trends

Coupling Structural Decomposition Analysis and Sensitivity Analysis to Investigate CO2 Emission Intensity in China

Process design, operation and economic evaluation of compressed air energy storage (CAES) for wind power through modelling and simulation

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