Developing a grid-connected power optimization strategy for the integration of wind power with low-temperature adiabatic compressed air energy storage

Tong, Shuiguang; Cheng, Zhewu; Cong, Feiyun; Tong, Zheming; Yi-dong, Zhang

doi:10.1016/j.renene.2018.02.067

Cited by 49 publications

(11 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Real-time estimation of the contaminant distribution is essential for ventilation control and indoor air quality management. Moreover, it is known that automatic control is of great importance for improving a systems' energy efficiency in engineering applications [52][53][54][55]. However, it is challenging to reconstruct spatiotemporal distributions of contaminants in an enclosed space, due to the ununiform distribution and nonlinear variations of indoor contaminants.…”

Section: Discussionmentioning

confidence: 99%

Real-Time Reconstruction of Contaminant Dispersion from Sparse Sensor Observations with Gappy POD Method

Tong

2020

Energies

Self Cite

View full text Add to dashboard Cite

Real-time estimation of three-dimensional field data for enclosed spaces is critical to HVAC control. This task is challenging, especially for large enclosed spaces with complex geometry, due to the nonuniform distribution and nonlinear variations of many environmental variables. Moreover, constructing and maintaining a network of sensors to fully cover the entire space is very costly, and insufficient sensor data might deteriorate system performance. Facing such a dilemma, gappy proper orthogonal decomposition (POD) offers a solution to provide three-dimensional field data with a limited number of sensor measurements. In this study, a gappy POD method for real-time reconstruction of contaminant distribution in an enclosed space is proposed by combining the POD method with a limited number of sensor measurements. To evaluate the gappy POD method, a computational fluid dynamics (CFD) model is utilized to perform a numerical simulation to validate the effectiveness of the gappy POD method in reconstructing contaminant distributions. In addition, the optimal sensor placement is given based on a quantitative metric to maximize the reconstruction accuracy, and the sensor placement constraints are also considered during the sensor design process. The gappy POD method is found to yield accurate reconstruction results. Further works will include the implementation of real-time control based on the POD method.Energies 2020, 13, 1956 2 of 12 dynamics (FFD) [17][18][19][20][21][22], and zonal models [23][24][25] can provide three-dimensional field data for an indoor environment with only a small number of boundary conditions that are, however often difficult to obtain in real applications. Even though CFD have been widely employed for predicting the spatial variation of indoor environmental variables [26], the large amount of computational time makes real-time prediction extremely difficult and, thereby, unlikely to achieve real-time control. To overcome the large computational cost, the FFD model is proposed by solving the continuity equation and unsteady Navier-Stokes equations with a time-splitting approach [21]. In addition, the computational speed of FFD could be further accelerated by using parallel and GPU computing [19]. Considering its reasonable accuracy and high computational efficiency, the FFD method has been extensively studied for fast simulation of transient flow [18,19] and for inverse design of the ventilation parameters [20]. Although the reduction in computing time is significant, it is still computationally costly to implement, especially for real-time control. Different from CFD and FFD models, the zonal models are easily incorporated into the control system [25] and require very little computation time, because they only solve energy and mass balance equations at each thermal zone. However, based on the assumption that all quantities are uniform at each zone, zonal models are unable to provide detailed spatial information for a room space [23]. The third category is the data-driven approach. The artif...

show abstract

Section: Discussionmentioning

confidence: 99%

Real-Time Reconstruction of Contaminant Dispersion from Sparse Sensor Observations with Gappy POD Method

Tong

2020

Energies

Self Cite

View full text Add to dashboard Cite

show abstract

“…However, considering the high requirements of high‐temperature TES on materials and system components, this high‐temperature TES can lead to some technical challenges. Therefore, scholars have started to analyze the possibility that using the low‐temperature TES in EES systems, such as in A‐CAES systems 35‐38 . The low‐temperature TES provides a new method for the optimization of EES systems based on gases.…”

Section: Introductionmentioning

confidence: 99%

Thermodynamic analysis of a novel compressed carbon dioxide energy storage system with low‐temperature thermal storage

et al. 2020

View full text Add to dashboard Cite

Summary Research projects on new electrical energy storage (EES) systems are underway because of the role of EES in balancing the electric grid and smoothing out the instability of renewable energy. In this paper, a novel compressed carbon dioxide energy storage with low‐temperature thermal storage was proposed. Liquid CO2 storage was employed to increase the storage density of the system and avoid its dependence on geological formations. Low‐temperature thermal energy storage technology was utilized to recycle the heat of compression and reduce the challenges to system components. The system configuration was introduced in detail. Four evaluation criteria, the round trip efficiency (RTE), exergy efficiency (ηEx), thermal efficiency (ηTE), and energy density (ρE) were defined to show the system performance. Parametric analysis was carried out to examine the effects of some key parameters on system performance and the genetic algorithm was adopted for system optimization. The calculated results show that, for the novel EES under the basic working condition, its RTE is 41.4%, ηTE is 59.7%, ηEx is 45.4%, and ρE is 15 kWh m−3. The value of ρE increases with the increasing pump outlet pressure for a fixed value of pressure ratio, and the changes of RTE, ηTE, and the total exergy destruction of the system (ED,total) with pump outlet pressure are complicated for different values of pressure ratio. When both pressure ratio and pump outlet pressure are high, the values of RTE and ρE can be maximized whereas the value of ED,total can be minimized. Besides, no matter how pump outlet pressure and pressure ratio change, the exergy destruction of the system mainly come from compressors and regenerators, which accounts for about 50% of the total exergy destruction.

show abstract

“…Multistage radial turbines can realize the efficient energy release of a large expansion ratio from the high pressure of compressed air storage to the atmospheric pressure, and have the advantages of high efficiency, compact structure, and large power capacity. Thus, they are widely used in CAES systems [1,2].…”

Section: Introductionmentioning

confidence: 99%

Preliminary Design of Multistage Radial Turbines Based on Rotor Loss Characteristics under Variable Operating Conditions

2019

Self Cite

View full text Add to dashboard Cite

The loading-to-flow diagram is a widely used classical method for the preliminary design of radial turbines. This study improves this method to optimize the design of radial turbines in the early design phase under variable operating conditions. The guide vane outlet flow angle is a key factor affecting the off-design performance of the radial turbine. To optimize the off-design performance of radial turbines in the early design phase, we propose a hypothesis that uses the ratio of the mean velocity of the fluid relative to the rotor passage with respect to the circumferential velocity of the rotor as an indicator to indirectly and qualitatively estimate the rotor loss, as it plays a key role in the off-design efficiency. Theoretical analysis of rotor loss characteristics under different types of variable operating conditions shows that a smaller design value of guide vane outlet flow angle results in a better off-design performance in the case of a reduced mass flow. In contrast, radial turbines with a larger design value of guide vane outlet flow angle can obtain a better off-design performance with increased mass flow. The above findings were validated with a mean-line model method. Furthermore, this study discusses the optimization of the design value of guide vane outlet flow angle based on the matching of rotor loss characteristics with specified variable operating conditions. It provides important guidance for the design optimization of multistage radial turbines with variable operating conditions in compressed air energy storage (CAES) systems.

show abstract

Developing a grid-connected power optimization strategy for the integration of wind power with low-temperature adiabatic compressed air energy storage

Cited by 49 publications

References 42 publications

Real-Time Reconstruction of Contaminant Dispersion from Sparse Sensor Observations with Gappy POD Method

Real-Time Reconstruction of Contaminant Dispersion from Sparse Sensor Observations with Gappy POD Method

Thermodynamic analysis of a novel compressed carbon dioxide energy storage system with low‐temperature thermal storage

Preliminary Design of Multistage Radial Turbines Based on Rotor Loss Characteristics under Variable Operating Conditions

Contact Info

Product

Resources

About