scholarly journals Solar Field Optimization and its Impact on Overall Design and Performance of Solar Tower Thermal Power Plant in Bangladesh

2021 ◽  
Vol 242 ◽  
pp. 01003
Author(s):  
Md. Sakib Hossain ◽  
Soad Shajid
Keyword(s):  
Power Plant ◽  
Power Systems ◽  
Thermal Power Plant ◽  
Electricity Generation ◽  
Large Scale ◽  
Thermal Power ◽  
Mathematical Framework ◽  
Design Point ◽  
Overall Design ◽  
Solar Field

Electricity generation using solar thermal power systems can be made more efficient and both technically and economically feasible in countries receiving moderate solar radiation like Bangladesh through thorough optimization of different parts of the power plant. In this paper a theoretical and mathematical framework for optimization of a 150 MW solar tower thermal power plant in Bangladesh which uses molten salt as HTF has been developed by applying different methods of selecting crucial design aspects, such as design point DNI, solar multiple, design point temperature etc. after selecting the most appropriate location based on GHI and DNI data. The effect of these design aspects on the overall design of the power plant including the number of heliostats, solar field land area, tower height, receiver dimensions etc. have also been studied and finally the performance analysis of the power plant has been conducted. Analysis of performance reveals that the optimized power plant would be able to deliver 528.66 GW-h electricity annually to the national grid while operating at a capacity factor of 40.2% and gross-net conversion efficiency of 88.635%. The promising performance of the power plant would encourage further research and innovation regarding large scale electricity generation from solar energy in Bangladesh.

scholarly journals CONSTRUCTION OF THE LARGE-SCALE JETTY AT MAIZURU THERMAL POWER PLANT

2002 ◽  
Vol 18 ◽  
pp. 641-646
Author(s):  
Masashi TERADA ◽  
Toshiaki NAKAMURA ◽  
Yasushi OOMASA ◽  
Keiichi OOMURA ◽  
Nobuhiro AKISATO
Keyword(s):  
Power Plant ◽  
Thermal Power Plant ◽  
Large Scale ◽  
Thermal Power

scholarly journals An Optimization Model for Tramp Ship Scheduling considering Time Window and Seaport Operation Delay Factors

2021 ◽  
Vol 2021 ◽  
pp. 1-19
Author(s):  
Ang Yang ◽  
Yu Cao ◽  
Kang Chen ◽  
Qingcheng Zeng ◽  
Zigen Chen
Keyword(s):  
Power Plant ◽  
Thermal Power Plant ◽  
Large Scale ◽  
Time Window ◽  
Programming Model ◽  
Thermal Power ◽  
Scale Model ◽  
Mixed Integer ◽  
Ship Scheduling ◽  
Operation Cost

The quantity of electrical coal transported through the tramp shipping network is increasing due to the high demands. This trend has increased the scheduling difficulty combined with the underdevelopment of the private thermal power plant port. The high coal consumption and low port storage capacity requires the scheduling of the tramp ship to be on a strict time window to ensure the continuous operation of the thermal power plant. The low port unloading capacity often leads to the port congestion and delay of the unloading operation. This paper develops a mixed-integer-programming model for the optimization of the tramp ship scheduling to reduce the total operation cost, including the transportation cost and the unloading waiting cost, and the branch-and-price algorithm is adopted to solve this large-scale model. The model and algorithm are tested with historical operation data from the thermal power plant in the southern coastal areas of China. The optimized scheme significantly reduces the total operation cost by reducing the unloading waiting time and the number of active vessels in certain periods. The results also demonstrate the algorithm improvement in the aspects of the optimization quality and efficiency comparing with the heuristic solution.

scholarly journals Development of a Small Solar Thermal Power Plant for Heat and Power Supply to Domestic and Small Business Buildings

2018 ◽  
Author(s):  
Khamid Mahkamov ◽  
Piero Pili ◽  
Roberto Manca ◽  
Arthur Leroux ◽  
Andre Charles Mintsa ◽  
...  
Keyword(s):  
Power Plant ◽  
Latent Heat ◽  
Thermal Power Plant ◽  
Thermal Power ◽  
Organic Rankine Cycle ◽  
Rankine Cycle ◽  
Thermal Storage ◽  
Solar Thermal ◽  
Solar Thermal Power ◽  
Solar Field

The small solar thermal power plant is being developed with funding from EU Horizon 2020 Program. The plant is configured around a 2-kWel Organic Rankine Cycle turbine and solar field, made of Fresnel mirrors. The solar field is used to heat thermal oil to the temperature of about 240 °C. This thermal energy is used to run the Organic Rankine Cycle turbine and the heat rejected in its condenser (about 18-kWth) is utilized for hot water production and living space heating. The plant is equipped with a latent heat thermal storage to extend its operation by about 4 hours during the evening building occupancy period. The phase change material used is Solar salt with the melting/solidification point at about 220 °C. The total mass of the PCM is about 3,800 kg and the thermal storage capacity is about 100 kWh. The operation of the plant is monitored by a central controller unit. The main components of the plant are being manufactured and laboratory tested with the aim to assemble the plant at the demonstration site, located in Catalonia, Spain. At the first stage of investigations the ORC turbine will be directly integrated with the solar filed to evaluate their joint performance. During the second stage of tests, the Latent Heat Thermal Storage will be incorporated into the plant and its performance during the charging and discharging processes will be investigated. It is planned that the continuous filed tests of the whole plant will be performed during the 2018–2019 period.

Cause Analysis of Plate Pitting Corrosion in Lubricating Oil Cooler of Main Equipment in Datang Weihe Thermal Power Plant

2013 ◽  
Vol 634-638 ◽  
pp. 1677-1681 ◽  
Author(s):  
Zhou Ping Li ◽  
Xiao Jian Hu ◽  
Hai Yan Ma ◽  
Si Wei Yan ◽  
Ai Jun Yan ◽  
...  
Keyword(s):  
Stainless Steel ◽  
Heat Exchanger ◽  
Power Plant ◽  
Thermal Power Plant ◽  
Large Scale ◽  
Thermal Power ◽  
Cooling Water ◽  
304 Stainless Steel ◽  
Lubricating Oil ◽  
Oil Cooler

The plate heat exchanger in oil cooler of unit 2 in a thermal power plant became corrosion perforation after 2-year running, and severe pits were found on its surface. The material and scale composition of the lubricating oil cooler was analyzed, and it was found that the oil cooler was made of 304 stainless steel, instead of the 316 stainless steel provided by factory. The corrosion products on the corroded surface were composed of some characteristic elements in cooling water. The analysis suggested that the reason for corrosion perforation of the heat exchanger could be associated with its material composition, and the under scale corrosion formed under the action of scale deposition could also cause corrosion perforation and large-scale pits.

scholarly journals Preparing the ground for the implementation of a large-scale CCS demonstration in China based on an IGCC-CCS thermal power plant: The China-EU COACH Project

2011 ◽  
Vol 4 ◽  
pp. 6021-6028 ◽  
Author(s):  
Francois Kalaydjian ◽  
Jiutian Zhang ◽  
Paul Broutin ◽  
Jens Hetland ◽  
Shisen Xu ◽  
...  
Keyword(s):  
Power Plant ◽  
Thermal Power Plant ◽  
Large Scale ◽  
Thermal Power

An Experimental Study of Slip Behavior of Large Scale Model Tank

2002 ◽  
Author(s):  
Hideyuki Tazuke ◽  
Satoru Yamaguchi ◽  
Hiroshi Akiyama ◽  
Tomoki Sakurai ◽  
Toshio Chiba
Keyword(s):  
Power Plant ◽  
Thermal Power Plant ◽  
Large Scale ◽  
Thermal Power ◽  
Fem Analysis ◽  
Seismic Excitation ◽  
Partial Slip ◽  
Scale Model ◽  
Nonlinear Phenomena ◽  
Large Scale Model

We recognized the importance of the seismic capability against earthquakes of the thermal power plant on the occurrence of the Hyogoken-Nanbu Earthquake in 1995. In this respect, seismic proving tests on the equipment of the thermal power plant had been planned and carried out. Vibration tests and FEM analysis were performed to demonstrate the seismic capability of the equipment. LNG tank was selected as one of the subjects. One of the remarkable nonlinear phenomena was lateral slip for an actual large tank. To investigate the slip behavior of the tank, vibration test of the large scale model tank and FEM analysis of actual tank were conducted. We estimated the slip behavior of the tank under severe seismic excitation. As the results, we confirmed that lateral slipping was mainly partial slip and total slip did not occur at severe seismic excitation.

scholarly journals Voltage and frequency control in conventional and PV integrated power systems by a particle swarm optimized Ziegler–Nichols based PID controller

2021 ◽  
Vol 3 (3) ◽  
Author(s):  
Arabinda Ghosh ◽  
Anjan Kumar Ray ◽  
Md. Nurujjaman ◽  
Mo Jamshidi
Keyword(s):  
Power Plant ◽  
Power Systems ◽  
Thermal Power Plant ◽  
Pid Controller ◽  
Frequency Control ◽  
Thermal Power ◽  
Particle Swarm ◽  
Objective Functions ◽  
Performance Improvements ◽  
Frequency Variations

AbstractVariations of load demands, expansion of power system by interconnections among different areas and integration of renewable energy sources bring new challenges for stable, reliable and uninterrupted operations of power systems. In this paper, a control technique is proposed to control and optimize the performances of the three models having importance in the present and future energy systems. These are the output variations of an automatic voltage regulation (AVR) system, frequency variations in a load frequency control (LFC) system of a thermal power plant and frequency variations of a PV integrated thermal power plant. The proposed controller is a particle swarm optimized Ziegler–Nichols (ZN) method based proportional-integral-derivative (PID) controller. A particle swarm optimization (PSO) method suffers from the unavailability of prior knowledge of initial values of parameters. Whereas, the classical ZN method leaves the scope for performance improvements of a system. A rejuvenation to the classical ZN method is proposed by integrating PSO. The combined effect optimizes the voltage and the frequency performances, while ensuring system stability. Additionally, different objective functions inspired from energy industry requirements are considered to demonstrate performance improvements of the systems (e.g. maximum overshoot, steady-state error, settling time). The robustness of the proposed method is demonstrated by considering parametric uncertainty in the system. The proposed method is compared with performances of different controllers (e.g. PI, fuzzy PI, fuzzy PID), different iterative soft computing methods (e.g. pattern search, artificial bee colony, different variants of PSO) and classical optimization method (e.g. linear matrix inequality) considering different objective functions and different load disturbances for the aforementioned models. It is also observed that better performances are obtained using a significantly less number of iterations.

Sign in / Sign up

Export Citation Format

Share Document