Comprehensive Evaluation Method of ORC System Performance Based on the Multi-Objective Optimization

2014 ◽  
Vol 997 ◽  
pp. 721-727 ◽  
Author(s):  
Liang Jiang ◽  
Ya Dong Zhu ◽  
Victor Jin ◽  
Li Jun Yu

The choice of evaluating indicator has a most important influence on the performance analysis and optimization of Organic Rankine-cycle (ORC) system. In this paper, the net output power of unit mass of exhaust gas (), the cycle exergy efficiency (), the total waste heat emissions () and the product of exchanger's area and total heat transfer coefficient () are selected as the four key indicators which can reflect the characteristics of ORC system. And then, a comprehensive evaluating indicator of ORC system performance () is obtained according to the theory of multi-objective optimization. Further, a comprehensive evaluation method of ORC system performance based on the multi-objective optimization is put forward in this paper. After that, this method is used to optimize the evaporation temperature which is considered as a key parameter of ORC system performance. According to researches, the results gained by using a single-objective optimization method with only one performance parameter as the indicator, cannot often take a global view of the ORC system performance and sometimes may lead to a deviation. Researches also show that increases firstly and then decreases with the increment of the evaporation temperature, and there exists a value of evaporation temperature to maximize . Through analysis and researches, it can be found that the comprehensive evaluation method of ORC system performance based on the multi-objective optimization provided in this paper gives a synthetic consideration to the requirements from high-efficiency, economy, thermodynamic perfection and environment protection. Moreover, by using this method, the ORC power generation system may be more likely to achieve the best comprehensive performance.

2019 ◽  
Vol 118 ◽  
pp. 03053
Author(s):  
Ruijie Wang ◽  
Jingquan Zhao ◽  
Lei Zhu ◽  
Guohua Kuang

The organic Rankine cycle (ORC) is considered as one of the most viable technology to recover low-grade waste heat. A multi-objective optimization model is established to simultaneously derive the maximum exergy efficiency and the minimum electricity production cost (EPC) of a specific ORC system by employing the genetic algorithm (GA). Evaporation temperature and condensation temperature are selected as decision variables. At first, variations of exergy efficiency and EPC with evaporation temperature and condensation temperature are investigated respectively using R245fa, R245ca, R600, R600a, R601 and R601a as working fluids. Subsequently, a multi-objective optimization is performed and the Pareto frontiers for various working fluids are obtained. Results indicate that performance of the specific ORC system with R245fa as working fluid is better that with other working fluids.


2013 ◽  
Vol 671-674 ◽  
pp. 3147-3151
Author(s):  
Yun Na Wu ◽  
Chao Liu ◽  
Mandula Naren ◽  
He Ping Wang ◽  
Jian Chen

The construction project bidding is a feasible method in engineering transactions and the main competition form of the construction activities under the conditions of the market economy. The bid assessment is an important link of bidding, and whether bid evaluation method is scientific or not, is directly related to the success of the tender. In the engineering construction field, at present the current commonly used evaluation methods are the comprehensive evaluation method and the lowest bidding price evaluation method. Based on fuzzy set theory and multi-objective people decision theory, we introduce fuzzy multi-objective people decision-making evaluation methods. And conducting research to put forward the evaluation index and weight method to determine the bidding decision model. Finally we apply it to actual case to make out the more standardized and scientific bidding evaluation method.


Energy ◽  
2015 ◽  
Vol 93 ◽  
pp. 2208-2228 ◽  
Author(s):  
Fubin Yang ◽  
Hongguang Zhang ◽  
Songsong Song ◽  
Chen Bei ◽  
Hongjin Wang ◽  
...  

2019 ◽  
Vol 116 ◽  
pp. 00062 ◽  
Author(s):  
Parth Prajapati ◽  
Vivek Patel

The present work deals with multi objective optimization of nanofluid based Organic Rankine Cycle (ORC) to utilise waste heat energy. Working fluid considered for the study is R245ca for its good thermodynamic properties and lower Global Warming Potential (GWP) compared to the conventional fluids used in the waste heat recovery system. Heat Transfer Search (HTS) algorithm is used to optimize the objective functions which tends to maximize thermal efficiency and minimize Levelised Energy Cost (LEC). To enhance heat transfer between the working fluid and source fluid, nanoparticles are added to the source fluid. Application of nanofluids in the heat transfer system helps in maximizing recovery of the waste heat in the heat exchangers. Based on the availability and cost, CuO nanoparticles are considered for the study. Effect of Pinch Point Temperature Difference (PPTD) and concentration of nanoparticles in heat exchangers is studied and discussed. Results showed that nanofluids based ORC gives maximum thermal efficiency of 18.50% at LEC of 2.59 $/kWh. Total reduction of 7.11% in LEC can be achieved using nanofluids.


2013 ◽  
Vol 869-870 ◽  
pp. 526-532
Author(s):  
Bu Chan Hou ◽  
Ying Ling Shi

Multi-objective comprehensive evaluation method is a new evaluation method which analysis on the sustainable development. This article is evaluating the present situation of the sustainable development of China's power source structure through this method, view to the future development. We select 7 indicators in order to reflect the economic effects, environmental effects and power production levels, and describe the sustainability degree, the development degree and the coordination degree from 2000 to 2007 in China. The research indicated that although the China's power source structure is being far away from the unsustainable critical point slowly, slowly approaches to the target point, but the way deviated from the path of the development of optimal path.


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