2020
DOI: 10.1016/j.energy.2020.117348
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Feasibility evaluation of large-scale underground hydrogen storage in bedded salt rocks of China: A case study in Jiangsu province

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Cited by 193 publications
(56 citation statements)
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“…Recently, HHO finds its applications in several types of problems [54] including micro-channel heat sink design [55], optimization of related components of harmonics polluted distribution systems [56], satellite image de-noising [57], manufacturing optimization problems [58], structural design optimization of vehicle components [59], drug design and discovery [60], and soil compression coefficient prediction [61]. Still, many real-life cases not modeled as an optimization case, whereas there are some aspects that we can solve those cases using new optimizers such as HHO [62]- [65]. Bao et al [66] described a hybrid algorithm, with the HHO and differential evolutionary (DE) algorithms involved, and used it in the color image multi-threshold segmentation field.…”
Section: Proposed Gbhhomentioning
confidence: 99%
“…Recently, HHO finds its applications in several types of problems [54] including micro-channel heat sink design [55], optimization of related components of harmonics polluted distribution systems [56], satellite image de-noising [57], manufacturing optimization problems [58], structural design optimization of vehicle components [59], drug design and discovery [60], and soil compression coefficient prediction [61]. Still, many real-life cases not modeled as an optimization case, whereas there are some aspects that we can solve those cases using new optimizers such as HHO [62]- [65]. Bao et al [66] described a hybrid algorithm, with the HHO and differential evolutionary (DE) algorithms involved, and used it in the color image multi-threshold segmentation field.…”
Section: Proposed Gbhhomentioning
confidence: 99%
“…1 K -nearest neighbor (KNN) method is implemented from scratch. All parameters were determined by trial and error approach [95], [96]. The search range of penalty coefficient and kernel bandwidth in SVM and KELM are set to [ −10, 10].…”
Section: B Experimental Setupmentioning
confidence: 99%
“…The interlayers seriously affect the sealing characteristics of surrounding rocks of the SPR salt caverns, which are also the key to determine whether salt caverns can store crude oil safely and reliably [25]. Once the salt cavern leaks, it will lead to oil leakage, which may bring the risk of serious disasters such as cavity scrapping and ground subsidence, even causing major fires and activating regional faults [26][27][28]. Therefore, the porosity and permeability characteristics of the rock surrounding the caverns are important for evaluating its tightness [29][30][31][32].…”
Section: Introductionmentioning
confidence: 99%