Theoretical Study and Case Analysis of a Predried Lignite–Fired Power Plant with the Waste Heat Recovery System

2012 ◽  
Vol 30 (4) ◽  
pp. 425-434 ◽  
Author(s):  
Xiaoke Guo ◽  
Ming Liu ◽  
Fen Lai ◽  
Daotong Chong ◽  
Junjie Yan ◽  
...  
2021 ◽  
Vol 234 ◽  
pp. 113947
Author(s):  
Alexandre Persuhn Morawski ◽  
Leonardo Rodrigues de Araújo ◽  
Manuel Salazar Schiaffino ◽  
Renan Cristofori de Oliveira ◽  
André Chun ◽  
...  

Author(s):  
Robert Ryan

A 1 MW fuel cell power plant began operation at California State University, Northridge (CSUN) in January, 2007. The power plant was installed on campus to complement a Satellite Chiller Plant which is being constructed in response to increased cooling demands related to campus growth. The power plant consists of four 250 kW fuel cell units, and a waste heat recovery system which produces hot water for the campus. The waste heat recovery system was designed by CSUN’s Physical Plant Management personnel, in consultation with engineering faculty and students, to accommodate the operating conditions required by the fuel cell units as well as the thermal needs of the campus. A unique plenum system, known as a Barometric Thermal Trap, was created to mix the four fuel cell exhaust streams prior to flowing through a two stage heat exchanger unit. The two stage heat exchanger uses separate coils for recovering sensible and latent heat in the exhaust stream. The sensible heat is being used to partially supply the campus’ building hot water and space heating requirements. The latent heat is intended for use by an adjacent recreational facility at the University Student Union. This paper discusses plant performance data which was collected and analyzed over a several month period during 2008. Electrical efficiencies and Combined Heat and Power (CHP) efficiencies are presented. The data shows that CHP efficiencies have been consistently over 60%, with the potential to exceed 70% when planned improvements to the plant are completed.


Author(s):  
Ruiqiang Sun ◽  
Kaixuang Yang ◽  
Ming Liu ◽  
Junjie Yan

Abstract The temperature of SCO2 fed to the boiler in SCO2 coal-fired power plants is relatively high, ∼500 °C. It leads to high boiler exhaust temperature, which is ∼120 °C according to previous studies. Waste heat recovery from low temperature fluegas in SCO2 coal-fired power plants is a key issue to be addressed to enhance power plant efficiency and electrostatic precipitator performance. Therefore, systems of waste heat recovery from low-temperature fluegas were proposed in this study. To evaluate the economic performances of the proposed systems and obtain the best system configurations, economic and thermodynamic models were developed. Moreover, multi-parameter optimization model based on Genetic Algorithm was developed. The waste heat recovery system is proposed and optimized by considering coupling and matching of the air preheating process, heat regenerative process and fluegas cooling process. With a 1000MW SCO2 coal-fired power plant as the reference case, thermodynamic and economic analyses were carried out. Results show that when the low temperature economizer is integrated together with the main compressor intercooling and flue bypass ahead the air-preheater, the temperature of exhaust fluegas can be decreased to ∼95 °C and the power plant efficiency can be enhanced by 1.39%-pts compared with basic system. Through the economic model analysis, the system levelized cost of electricity is 0.04158 $ kW−1 h−1.


2019 ◽  
Vol 14 (1) ◽  
Author(s):  
Gunabal S

Waste heat recovery systems are used to recover the waste heat in all possible ways. It saves the energy and reduces the man power and materials. Heat pipes have the ability to improve the effectiveness of waste heat recovery system. The present investigation focuses to recover the heat from Heating, Ventilation, and Air Condition system (HVAC) with two different working fluids refrigerant(R410a) and nano refrigerant (R410a+Al2O3). Design of experiment was employed, to fix the number of trials. Fresh air temperature, flow rate of air, filling ratio and volume of nano particles are considered as factors. The effectiveness is considered as response. The results were analyzed using Response Surface Methodology


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