2019
DOI: 10.1016/j.ijhydene.2018.09.131
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Techno-economic feasibility of power to gas–oxy-fuel boiler hybrid system under uncertainty

Abstract: One of the main challenges associated with utilisation of the renewable energy is the need for energy storage to handle its intermittent nature. Power-toGas (PtG) represents a promising option to foster the conversion of renewable electricity into energy carriers that may attend electrical, thermal, or mechanical needs on-demand. This work aimed to incorporate a stochastic approach (Artificial Neural Network combined with Monte Carlo simulations) into the thermodynamic and economic analysis of the PtG process … Show more

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Cited by 17 publications
(5 citation statements)
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“…Where, is a vector of deterministic input parameters and is a set of stochastic input parameters. Different methods of model reduction have been studied and some have found their way to the CCS field of research: Hanak and others have used Artificial Neural Network (ANN) models as surrogates for full physical calcium looping models, and have used these to perform integrated global uncertainty analysis of the economics of calcium looping systems [159,186]. Sun et al [187] used Polynomial Chaos Expansion (PCE) to produce surrogate models of physical models for CO2 storage well leakage and combined those with risk and cost analysis tools to retrieve stochastic integrated leakage risk and cost information.…”
Section: Reduced Order Models For Global Uncertainty Analysismentioning
confidence: 99%
“…Where, is a vector of deterministic input parameters and is a set of stochastic input parameters. Different methods of model reduction have been studied and some have found their way to the CCS field of research: Hanak and others have used Artificial Neural Network (ANN) models as surrogates for full physical calcium looping models, and have used these to perform integrated global uncertainty analysis of the economics of calcium looping systems [159,186]. Sun et al [187] used Polynomial Chaos Expansion (PCE) to produce surrogate models of physical models for CO2 storage well leakage and combined those with risk and cost analysis tools to retrieve stochastic integrated leakage risk and cost information.…”
Section: Reduced Order Models For Global Uncertainty Analysismentioning
confidence: 99%
“…This power-to-gas plant manages up to 40 MW e (i.e., 10% of the gross power of the CCPP). The overall efficiency of the energy storage is assumed constant at 60% (power to methane), accounting for polymer electrolyte membrane electrolysis (75% higher heating value, HHV) (Matute et al, 2019) and methanation (80% HHV) (Bailera et al, 2019a).…”
Section: Case Studymentioning
confidence: 99%
“…Syngas can also be produced through Power to Gas technology, which uses renewable electricity to obtain combustible gases by electrolysis [23]. The technology is ready for energy storage (Audi's PtG plant was qualified for participating in the German electricity balancing market) [24], although it needs subsidies to be profitable [25]. Its application to industries has been proved to be a more cost-effective solution [26,27].…”
Section: Introductionmentioning
confidence: 99%