Study on site selection combination evaluation of pumped-storage power station based on cycle elimination — Based on the empirical analysis of North China

In the context of carbon neutrality, the phase-out of coal from the energy structure has resulted in numerous old coal mines that possess abundant underground space resources suitable for underground pumped hydroelectric energy storage (UPHES). Site selection and estimation of potential are critical to the planning and implementation of UPHES in old coal mines. This paper introduces a two-step site selection concept, including a screening assessment followed by a comprehensive assessment, to determine suitable locations for UPHES. The screening indicators in the screening assessment comprise geological features, mine water disasters, and minimum installed capacity, while the analytic hierarchy process (AHP) is applied in the comprehensive assessment. Additionally, coal mines in Henan Province are preliminarily screened through the screening assessment and the potential for UPHES is thoroughly investigated. The estimated volume of the drifts and shafts in old coal mines is approximately 1.35 × 107 m3, while in producing coal mines, it is around 2.96 × 107 m3. Furthermore, the corresponding annual potential for UPHES is 1468.9 GWh and 3226.3 GWh, respectively. By consuming surplus wind and solar power, UPHES is able to reduce 4.68 × 105 tonnes of carbon dioxide (CO2) emissions. The study provides preliminary guidance for policy-makers in developing UPHES in old coal mines.

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“…For weight calculation, the AHP is a widely accepted subjective evaluation method [50][51][52][53]. weights.…”

Section: Weight Calculationmentioning

confidence: 99%

A Two-Step Site Selection Concept for Underground Pumped Hydroelectric Energy Storage and Potential Estimation of Coal Mines in Henan Province

Chen

Hou

et al. 2023

Energies

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“…Currently, GCN methods are primarily categorized into two types: static and dynamic. In the static approach, the topological structure derived from the graph structure data within the energy storage power station remains unchanged throughout the entire network training process [ 7 ]. While this method is straightforward, it fails to effectively represent the connection relationships among graph structure data under specific circumstances, leading to poor generalization ability.…”

Section: Introductionmentioning

confidence: 99%

Optimizing energy storage plant discrete system dynamics analysis with graph convolutional networks

Lou,

Sun,

2024

Heliyon

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Site selection for underground pumped storage plant using abandoned coal mine through a hybrid multi-criteria decision-making framework under the fuzzy environment: A case in China

Tao¹,

Luo²,

Zhou³

et al. 2022

Journal of Energy Storage

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Study on site selection combination evaluation of pumped-storage power station based on cycle elimination — Based on the empirical analysis of North China

Cited by 9 publications

References 55 publications

A Two-Step Site Selection Concept for Underground Pumped Hydroelectric Energy Storage and Potential Estimation of Coal Mines in Henan Province

A Two-Step Site Selection Concept for Underground Pumped Hydroelectric Energy Storage and Potential Estimation of Coal Mines in Henan Province

Optimizing energy storage plant discrete system dynamics analysis with graph convolutional networks

Site selection for underground pumped storage plant using abandoned coal mine through a hybrid multi-criteria decision-making framework under the fuzzy environment: A case in China

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