Optimal management of compressed air energy storage in a hybrid wind-pneumatic-diesel system for remote area's power generation

Basbous, Tammam; Younès, Rafic; Ilinca, Adrian; Perron, Jean

doi:10.1016/j.energy.2015.02.114

Cited by 31 publications

(18 citation statements)

References 11 publications

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“…The same design was proposed by Basbous et al [129] driven by economic competitiveness of compressed air energy storage (CAES). While Hu and Solana [147] proposed dynamic programming for hybrid wind/diesel engine DG system optimisation based on its operational policy and realistic wind speed simulation, Mohanty et al [148] enhanced the reactive power management of hybrid wind/tidal/diesel engine DG system with unified power flow controller (UPFC) incorporation.…”

Section: Dg System Configuration Designmentioning

confidence: 74%

“…In particular, Belmili et al [121], Belmili et al [122], Diaf et al [123], Gonzalez et al [124], Maleki et al [125], and Ho et al [126] synthesised optimal DG systems based on DC-bus architecture, while those optimised under the works of Shin et al [127], Tsuanyo et al [128], and Basbous et al [129] are based on AC-bus architecture. Various DG systems with hybrid AC/DC-bus architecture were investigated by Busaidi et al [130], Wang and Singh [131], Lan et al [132], Merei et al [133], Bernal-Agustin and Dufo-Lopez [134], Bandyopadhyay [135], Ho et al [136], and Zahboune et al [137].…”

Section: Dg System Configuration Designmentioning

confidence: 98%

“…Several approaches have been applied to determine the wind turbine power coefficient. Basbous et al [129] in particularly applied the power coefficient curve of ENERCON commercial wind turbine (with rate capacity of 330 kW). Zahboune et al [137] empirically correlated the power coefficient with speed ratio, whereas Maheri [145] regressed a seventh-order polynomial equation for power coefficient estimation.…”

Section: First Modementioning

confidence: 99%

See 2 more Smart Citations

Review of distributed generation (DG) system planning and optimisation techniques: Comparison of numerical and mathematical modelling methods

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Lim

et al. 2017

Renewable and Sustainable Energy Reviews

243

105

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Section: Dg System Configuration Designmentioning

confidence: 74%

Section: Dg System Configuration Designmentioning

confidence: 98%

Section: First Modementioning

confidence: 99%

See 1 more Smart Citation

Review of distributed generation (DG) system planning and optimisation techniques: Comparison of numerical and mathematical modelling methods

Theo

Lim

et al. 2017

Renewable and Sustainable Energy Reviews

243

105

View full text Add to dashboard Cite

“…Thus, the two-phase region is divided into a number of small regions where the properties of the fluid keep almost constant [28,33,34]. The LMTD and overall heat transfer coefficient for each region can be obtained by Equations (20) and (21).…”

Section: Heat Exchanger Modelmentioning

confidence: 99%

“…Yao et al [5] proposed a novel combined cooling, heating and power system (CCHP) combined with CAES and a gas engine; the system increases the output power of the CCHP system and realizes energy cascade utilization. Nielsen et al [19] and Basbous et al [20] exposed new CAES systems based on diesel engines, which can be applied to remote areas and ships.…”

Section: Introductionmentioning

confidence: 99%

Thermo-Economic Comparison and Parametric Optimizations among Two Compressed Air Energy Storage System Based on Kalina Cycle and ORC

Wang

Yao

et al. 2016

Energies

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Abstract:The compressed air energy storage (CAES) system, considered as one method for peaking shaving and load-levelling of the electricity system, has excellent characteristics of energy storage and utilization. However, due to the waste heat existing in compressed air during the charge stage and exhaust gas during the discharge stage, the efficient operation of the conventional CAES system has been greatly restricted. The Kalina cycle (KC) and organic Rankine cycle (ORC) have been proven to be two worthwhile technologies to fulfill the different residual heat recovery for energy systems. To capture and reuse the waste heat from the CAES system, two systems (the CAES system combined with KC and ORC, respectively) are proposed in this paper. The sensitivity analysis shows the effect of the compression ratio and the temperature of the exhaust on the system performance: the KC-CAES system can achieve more efficient operation than the ORC-CAES system under the same temperature of exhaust gas; meanwhile, the larger compression ratio can lead to the higher efficiency for the KC-CAES system than that of ORC-CAES with the constant temperature of the exhaust gas. In addition, the evolutionary multi-objective algorithm is conducted between the thermodynamic and economic performances to find the optimal parameters of the two systems. The optimum results indicate that the solutions with an exergy efficiency of around 59.74% and 53.56% are promising for KC-CAES and ORC-CAES system practical designs, respectively.

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Impact of optimal power generation scheduling for operating cleaner hybrid power systems with energy storage

Panda

Aviso

Mishra

et al. 2021

Intl J of Energy Research

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De-carbonization of the electric power system, reduction in greenhouse gas emissions and the enhancement of environmental security have emphasized the need for the optimal utilization of renewable/cleaner energy in power system operation. However, unpredictability and intermittency are the major barriers that limit the penetration of renewable power generation (RPG). In this context, large-scale energy storage (LSES) facilities may prove to be an effective means for mitigating the long-term volatility and vulnerability of RPG and subsequently reduce the power dependence on fossil fuel-based generation systems. Thus, the possibility of increasing the penetration of cleaner power may be achieved by simultaneously implementing LSES and an intelligent scheduling strategy so that the hybrid power system may be operated with lower power loss, more cost-effective operation, and an enhanced voltage security.Previous researchers in multiple works have demonstrated the operational analysis and optimization of hybrid configurations with and without storage in stand-alone, islanded and remote operations. In contrast, attempts have been made in this work to incorporate, analyse and validate the impact of LSES facilities (ie, pumped hydroelectric storage (PHS) and compressed air energy storage (CAES)) with benchmark power grid configuration (ie, New-England-39 bus).In this work, a comparative analysis among different hybrid configurations, particularly wind-solar-thermal, wind-solar-hydro-thermal, wind-solarhydro-thermal-PHS and wind-solar-hydro-thermal-CAES is conducted within a multi-objective optimization environment. The proposed design problem is analysed with the inclusion of real-time constrictions in the form of stochastic variation in renewable power output and random disruptions. The modified bacteria foraging algorithm is used to evaluate the optimum generation schedule for which the operational objectives will be achieved for the design problem. Further, using fuzzy membership function, the trade-off between conflicting objectives is portrayed in Pareto optimal domain. Among different hybrid configurations considered, the HPS which incorporates the CAES system exhibits the most superior performance.

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Optimal management of compressed air energy storage in a hybrid wind-pneumatic-diesel system for remote area's power generation

Cited by 31 publications

References 11 publications

Review of distributed generation (DG) system planning and optimisation techniques: Comparison of numerical and mathematical modelling methods

Review of distributed generation (DG) system planning and optimisation techniques: Comparison of numerical and mathematical modelling methods

Thermo-Economic Comparison and Parametric Optimizations among Two Compressed Air Energy Storage System Based on Kalina Cycle and ORC

Impact of optimal power generation scheduling for operating cleaner hybrid power systems with energy storage

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