Analysis of a Gas Turbine Plant for Distributed Power Cogeneration Along with Heating, Refrigeration and Air Conditioning

Subbarao, Rayapati; Sarath, K. Sai

doi:10.1080/21563306.2017.11869109

Cited by 4 publications

(3 citation statements)

References 5 publications

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“…CHP generates electricity through the combustion of natural gas, which is a relatively low-carbon fossil energy. When electricity generated by traditional renewable energy sources such as PV and wind is scarce, CHP plays an important role as a stable power source [18]. CHP generates electricity through the combustion of natural gas, which is a relatively lowcarbon fossil energy.…”

Section: Calculation Of Dgsmentioning

confidence: 99%

Effects of Distributed Generation on Carbon Emission Reduction of Distribution Network

Wu,

Su,

Chen

et al. 2023

DGAEJ

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Increasing renewable energy integration in power systems is an important way of decarbonising carbon emissions. Recently, the ever-increasing deployment of distributed generation (DG) is considered effective in reducing carbon emissions and power loss, such as wind, photovoltaic (PV), and combined heat and power generation (CHP) on the demand side. Thus, the evaluation of carbon emission flow (CEF) will be a crucial factor for distribution network planning with the integration of DGs, which may act as a supplemented indicator in addition to traditional power flow study. In the planning stage, it is paramount to ensure that decarbonisation process of the power distribution system is in line with environmental and technical targets. Thus, the paper proposes a modelling strategy to combine the power flow and carbon emission flow. It aims to analyse and calculate the CEF based on the power-flow study. The novel model satisfies the power flow and CEF balance and can be directly used to evaluate the decarbonization of power system. The results of this study can help relevant energy decision-makers to do appropriate renewable energy generation planning and guide the power system to achieve carbon neutrality.

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Section: Calculation Of Dgsmentioning

confidence: 99%

Effects of Distributed Generation on Carbon Emission Reduction of Distribution Network

Wu,

Su,

Chen

et al. 2023

DGAEJ

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“…GT has applications in both power generation and transportation. Even in remote areas, they are viable alternative power generation source [1]. In a GT engine, compressor, combustion chamber and turbine are the main components used in order to obtain power and the working fluid at the inlet is at different temperatures and pressures.…”

Section: Introductionmentioning

confidence: 99%

Simulation studies on the comparison of different superalloys used in gas turbine blades

Subbarao

Mahato

2022

IOP Conf. Ser.: Mater. Sci. Eng.

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Impingement of gases at high temperature and pressure leads to the development of stresses and deformation in gas turbine blades. Other important characteristics are also getting changed, prompting more problems in gas turbine engines, as they are used in both power generation and transportation. In this work, failure aspects in blades is studied by performing structural analysis, considering superalloys that are used in the industry. Software packages like Solidworks and Ansys are used for modelling, meshing and solving, in order to identify the target variables like total deformation, von Mises stress, strain energy and fatigue. Geomtery of the turbine blade is modelled and after meshing, boundary conditions like pressure, force and rotational speed are enforced. Results are analysed after carrying out the static structural analysis in Ansys work bench. For the superalloy materials chosen, contours and plots are made for all the configurations. Validation of deformation from the present work is done with experiments done earlier, which is in good agreement. Total deformation is more at the tip of the blade. At the root of the blade, the stresses are found to be more. Presence of strain energy is more near the root. Fatigue life contours showed similarity in all the cases. The blade failure region is identified for all the materials under consideration and the trends are compared for different input temperatures. Thus the current work is helpful in recognizing appropriate superalloy to be used in the present day gas turbines and supports the use of GTD 111 as gas turbine blade material.

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“…Hence, all walks of life in society are studying how to save energy, and there is great potential for energy conservation. Only for the energy consumption of heating in winter, most cities have adopted central heating as the main method, such as cogeneration and regional centralized boiler room, supplemented by decentralized heating [4,5]. In contrast with decentralized heating, the emergence of central heating makes the number of heating boilers greatly reduced, which effectively controls the emission of boiler smoke and exhaust gas, saves energy and facilitates the life of residents while preventing and controlling coal pollution.…”

Section: Introductionmentioning

confidence: 99%

Optimization of a Heat Exchanger Using an ARM Core Intelligent Algorithm

Jia¹,

Wang²,

Shang³

2020

Fluid Dynamics &Amp; Materials Processing

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In order to optimize heat transfer in a heat exchanger using an ARM (advanced RISC machine) core intelligent computer algorithm, a new type of controller has been designed. The whole control structure of the heat exchange unit has been conceived on the basis of seven functional modules, including data processing and output, human-computer interaction, alarm, and data communication. The main controller and communication controller have been used in a combined fashion and a new MCU (micro control unit) system scheme has been proposed accordingly. A fuzzy controller has been designed by using a fuzzy control algorithm, and a new mode of heat transfer for the heat exchanger has been implemented by combining the fuzzy controller and the PID (proportioning integral derivative) controller. Finally, the model has been applied to an actual heat exchange station to test and verify the performances of the new approach.

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Analysis of a Gas Turbine Plant for Distributed Power Cogeneration Along with Heating, Refrigeration and Air Conditioning

Cited by 4 publications

References 5 publications

Effects of Distributed Generation on Carbon Emission Reduction of Distribution Network

Effects of Distributed Generation on Carbon Emission Reduction of Distribution Network

Simulation studies on the comparison of different superalloys used in gas turbine blades

Optimization of a Heat Exchanger Using an ARM Core Intelligent Algorithm

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