Performance assessment and optimization of a combined heat and power system based on compressed air energy storage system and humid air turbine cycle

Zhao, Pan; Dai, Yiping; Wang, Jiangfeng

doi:10.1016/j.enconman.2015.07.004

Cited by 46 publications

(15 citation statements)

References 25 publications

(29 reference statements)

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“…This work is not only destined to review some literature on research, development, and projects related to energy storage, especially those related to CAES in power systems as reviewed here so far , but it also handles the main points of several research investigations carried out by the author and associates in a brief and comprehensive manner, during the recent years in the field of CAES.…”

Section: Discussion Of Some Relevant Research Studiesmentioning

confidence: 99%

Using novel compressed-air energy storage systems as a green strategy in sustainable power generation-a review

Najjar

Abubaker

2016

Int. J. Energy Res.

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SUMMARYThe main driving forces behind the efforts to utilize various sources of renewable energy, energy efficiency, and reducing energy waste are the increasing level of greenhouse gasses and the climb in fuel prices.Energy storage is now gaining continuously increasing importance. It develops new sources of energy. The storage of energy in a suitable form, which can be converted into the required form, is a high challenge. Energy storage not only reduces the mismatch between supply and demand but it also improves the performance and reliability of energy system and contributes toward conserving energy.In this work, some research works carried out by the author and associates over the last 10 years are reviewed along with some other relevant works. These articles cover different systems involving energy sustainability, energy efficiency, green energy, and power augmentation related to compressed air energy storage, with and without humidification, plus with and without cooling (adiabatic).Comparison of the potential methods shows that compressed air storage with humidification is superior to other methods in energy ratio and primary energy efficiency.

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Section: Discussion Of Some Relevant Research Studiesmentioning

confidence: 99%

Using novel compressed-air energy storage systems as a green strategy in sustainable power generation-a review

Najjar

Abubaker

2016

Int. J. Energy Res.

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“…However, due to there is no pressure sensor after the fan section in the current TFE-731 test cell, PT2 is considered instead for modeling. In 2015, Zhao, Dai, and Wang used isentropic compression equation to describe the temperature responses of LPC and HPC section [29].…”

Section: B Data Validation Checkmentioning

confidence: 99%

A Model Following Based Real-Time Prediction and Monitoring of TFE-731 Turbofan Engine Compressors

Chen

Peng

2019

IEEE Access

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An engine is the heart of an aircraft. It produces thrust, drives the generator, pumps the hydraulic system and provides compressed air for all the systems on the aircraft. Its health plays an essential role in flight safety. In the past, the standard operation procedure to evaluate the health status of engines usually depended on some specific parameters, like inter-stage turbine temperature, low-pressure spool rotating speed or high-pressure spool rotating speed. Once part of the parameters pass over certain safety boundaries that were previously set by the manufacturers or the operators, the engine would be regarded as an unhealthy engine. Nevertheless, in practical applications, such threshold-style mechanism cannot reflect engine fault immediately and therefore could lead to potential flight risk. To solve this issue, a precise forecast model of the engine has to be established. Consequently, this research is dedicated to develop algorithms for engine modeling as well as the identification of optimal parameters. For the TFE-731 engine, there are three section models considered, including low pressure compressor (LPC) model, high pressure compressor (HPC) model and overall turbofan dynamics model. Those models are derived with the consideration of physical isentropic compression equation as well as a data-driven regression technique. Experiments show that a precise modeling fitting can be achieved by using regression analysis and nonlinear optimal parameter estimation. Finally, to compare the prediction stability and accuracy, associated training models using neural network (NN) are also presented. Comparison studies verify that the proposed method is able to achieve stable as well as accurate TFE-731 real-time response prediction and monitoring. INDEX TERMS Turbofan engine modeling, parameter identification, fault monitoring.

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“…TSE is the ratio of the sum of the net useful electric output and net useful recovered heat from system, to the total fuel energy input. 40,53,62 SEE ¼ P T t dch /(P WT + E fuel )t ch (39) TSE ¼ (P T + RH cw )t dch /(P WT + E fuel )t ch (40) where E fuel is the total fuel input consisting of biomass energy input and diesel fuel energy inputs to the DFE system The term useful output (for both electricity and heat) covers all the electricity or heat produced, no matter what the demand in the study area is. Table 3 shows the values for the input parameters used in the A-CAES model.…”

Section: Dual Fuel Engine (Dfe) Exhaust Owmentioning

confidence: 99%

Techno-economic analysis of wind power integrated with both compressed air energy storage (CAES) and biomass gasification energy storage (BGES) for power generation

et al. 2018

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Performance assessment and optimization of a combined heat and power system based on compressed air energy storage system and humid air turbine cycle

Cited by 46 publications

References 25 publications

Using novel compressed-air energy storage systems as a green strategy in sustainable power generation-a review

Using novel compressed-air energy storage systems as a green strategy in sustainable power generation-a review

A Model Following Based Real-Time Prediction and Monitoring of TFE-731 Turbofan Engine Compressors

Techno-economic analysis of wind power integrated with both compressed air energy storage (CAES) and biomass gasification energy storage (BGES) for power generation

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