2021
DOI: 10.1016/j.est.2021.103038
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A low-temperature glide cycle for pumped thermal energy storage

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Cited by 14 publications
(4 citation statements)
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References 29 publications
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“…In fact, the storage temperature of around 220°C lies close to the value that minimises the total cost per unit exergy, estimates for which are in the range 25–35 £/kWh e . 41 (The value estimated by Margen et al 13 lies within this range once corrected for inflation.) Judging this too expensive, Margen et al proposed the use of excavated underground cavities, for which they claimed an almost four-fold reduction in cost relative to steel pressure vessels.…”
Section: Thermal Storage Optionsmentioning
confidence: 70%
See 1 more Smart Citation
“…In fact, the storage temperature of around 220°C lies close to the value that minimises the total cost per unit exergy, estimates for which are in the range 25–35 £/kWh e . 41 (The value estimated by Margen et al 13 lies within this range once corrected for inflation.) Judging this too expensive, Margen et al proposed the use of excavated underground cavities, for which they claimed an almost four-fold reduction in cost relative to steel pressure vessels.…”
Section: Thermal Storage Optionsmentioning
confidence: 70%
“…Preliminary estimates of cost for multiple packed-bed systems suggest values in the range 25-35 £/kWh e . 41…”
Section: Direct Pressurised Water Storagementioning
confidence: 99%
“…Najveći procenat izgrađenih kapaciteta skladišta električne energije, čak 94% na svjetskom nivou, izveden je u vidu hidro-pumpnih skladišta energije [3]. Osnovni nedostatak ovog vida skladištenja jeste geografska ograničenost.…”
Section: Skladištenje Električne Energijeunclassified
“…Despite a rapid increase of its globally installed capacity (International Energy Agency (IEA) [19]), a range of technical obstacles such as land requirement or weather-dependent intermittency are still limiting its broad utilisation (Capellán-Pérez et al [5]). In addition to improving storage technologies (Koen et al [22]), accurate energy supply forecasting at different spatio-temporal scales would facilitate power grid balancing (Inman et al [17], Tawn and Browell [53], Impram et al [16]). To that end, local and remote sensing offer an opportunity to measure weather variability and model its impact on solar energy generation (Yang et al [61]).…”
Section: Introductionmentioning
confidence: 99%