scholarly journals PERFORMANCE ANALYSIS OF RDE ENERGY CONVERSION SYSTEM IN VARIOUS REACTOR POWER CONDITION

2019 ◽  
Vol 21 (3) ◽  
pp. 99 ◽  
Author(s):  
Ignatius Djoko Irianto ◽  
Sukmanto Dibyo ◽  
Sriyono Sriyono ◽  
Djati H Salimy ◽  
Rahayu Kusumastuti ◽  
...  
Keyword(s):  
Energy Conversion ◽  
Mass Flow Rate ◽  
Flow Rate ◽  
Power Reactor ◽  
Thermal Power ◽  
Reactor Power ◽  
Outlet Temperature ◽  
Constant Mass ◽  
Conversion System ◽  
Energy Conversion System

Reaktor Daya Eksperimental (RDE) is an experimental power reactor based on High Temperature Gas-cooled Reactor (HTGR) technology with thermal power of 10 MW. As an experimental power reactor, RDE is designed for electricity generation and provides thermal energy for experimental purposes. RDE energy conversion system is designed with cogeneration configuration in the Rankine cycle. To ensure the effectiveness of its cogeneration, the outlet temperature of the RDE is set at 700°C and steam generator outlet temperature is around 530°C. Analysis of the performance of the energy conversion system in various power levels is needed to determine the RDE operating conditions. This research is aimed to study the performance characteristics of RDE energy conversion systems in various reactor power conditions. The analysis was carried out by simulating thermodynamic parameter calculations on the RDE energy conversion system and the overall cooling system using the ChemCad program package. The simulation is carried out by increasing the reactor power from 0 MW to 10 MW at constant pressure and constant mass flow rate. The simulation results show that the steam fraction at the steam generator outlet increases starting from 3 MW reactor power and reaches saturated steam after the thermal power level of 7.5 MW. From the results, it can be concluded that with constant mass flow rate and operating pressure, optimal turbine power is obtained after the reactor thermal power reached 7.5 MW.Keywords: RDE, Energy Conversion System, Performance, Reactor Power, ChemCad

scholarly journals Exergoeconomic optimization of a thermal power plant using particle swarm optimization

2013 ◽  
Vol 17 (2) ◽  
pp. 509-524 ◽  
Author(s):  
Axel Groniewsky
Keyword(s):  
Power Plant ◽  
Energy Conversion ◽  
Power Plants ◽  
Optimization Problems ◽  
State Of The Art ◽  
Search Algorithm ◽  
Thermal Power ◽  
Optimization Methods ◽  
Conversion System ◽  
Energy Conversion System

The basic concept in applying numerical optimization methods for power plants optimization problems is to combine a State of the art search algorithm with a powerful, power plant simulation program to optimize the energy conversion system from both economic and thermodynamic viewpoints. Improving the energy conversion system by optimizing the design and operation and studying interactions among plant components requires the investigation of a large number of possible design and operational alternatives. State of the art search algorithms can assist in the development of cost-effective power plant concepts. The aim of this paper is to present how nature-inspired swarm intelligence (especially PSO) can be applied in the field of power plant optimization and how to find solutions for the problems arising and also to apply exergoeconomic optimization technics for thermal power plants.

scholarly journals Performance analysis on the design of the energy conversion system of the Indonesia experimental power reactor

2019 ◽  
Author(s):  
Ign. Djoko Irianto ◽  
Sukmanto Dibyo ◽  
Sriyono ◽  
Djati H. Salimy ◽  
Rahayu Kusumastuti ◽  
...  
Keyword(s):  
Performance Analysis ◽  
Energy Conversion ◽  
Power Reactor ◽  
Conversion System ◽  
Energy Conversion System

Influencing Factors of Low-Grade Energy Conversion System Using ORCs

2012 ◽  
Vol 193-194 ◽  
pp. 206-210 ◽  
Author(s):  
Li Li Wei ◽  
Yu Feng Zhang ◽  
Yong Chao Mu ◽  
Xiao Chen Yang ◽  
Hong Ting Ma
Keyword(s):  
Energy Conversion ◽  
Flow Rate ◽  
Significant Influence ◽  
Energy Conversion Efficiency ◽  
Low Grade ◽  
Wet Steam ◽  
Conversion System ◽  
Systematic Optimization ◽  
Enthalpy Difference ◽  
Energy Conversion System

Rankine cycles using organic working fluids are widely believed feasible in recovering low enthalpy-containing heat. Through the analysis, the enthalpy difference, the dryness of inlet wet steam and evaporating and condensing temperature have significant influence on the energy conversion efficiency. The power output also relies on the specific volume and latent heat, which determine the mass flow rate. The results serve good guideline for experiments and systematic optimization.

Optimization of the Mass Flow Rate Distribution of an Open Volumetric Air Receiver

2013 ◽  
Vol 135 (4) ◽  
Author(s):  
Nils Ahlbrink ◽  
Joel Andersson ◽  
Moritz Diehl ◽  
Robert Pitz-Paal
Keyword(s):  
Mass Flow Rate ◽  
Mass Flow ◽  
Flow Rate ◽  
Thermal Power ◽  
Complex Problem ◽  
Outlet Temperature ◽  
General Technique ◽  
Operational Strategies ◽  
Solar Power Tower ◽  
The One

The thermodynamical efficiency of a solar power tower power plant with an open volumetric air receiver depends among others on the operational strategy of the receiver. This strategy includes, on the one hand, controlling the distribution of irradiated power on the receiver surface via aim point optimization, and on the other hand, controlling the air mass flow rate and its distribution by choosing suitable dimensions of fixed orifices and controlling air flaps. The maximum mass flow rate of the receiver as an indication of the thermal power is commonly used as a quality function when assessing new component designs, comparing different operational strategies, or evaluating the role of aim point optimization for the open volumetric air receiver technology. In this paper, a method is presented to maximize the mass flow rate of the receiver using given technical capabilities of the receiver technology like orifices and air flaps for a desired air outlet temperature of the receiver. The method is based on dynamic programming, a general technique for solving decision making problems where a complex problem can be split up into a sequence of simpler ones. The potential of the method is demonstrated for a prototype solar thermal power tower with open volumetric air receiver technology.

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