Multi-objective approach for determination of optimal operating parameters in low-temperature ORC power plant

Jankowski, Marcin; Borsukiewicz-Gozdur, A.

doi:10.1016/j.enconman.2019.112075

Cited by 36 publications

(11 citation statements)

References 53 publications

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“…To calculate the Nu, empirical correlations developed for plate heat exchangers and specific processes (condensation, evaporation etc.) are applied and the full list of utilized equations was presented in the previous study [26].…”

Section: Heat Transfer Analysismentioning

confidence: 99%

A Novel Exergy Indicator for Maximizing Energy Utilization in Low-Temperature ORC

Jankowski

Borsukiewicz-Gozdur

2020

Energies

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In the last decade, particular attention has been paid to the organic Rankine cycle (ORC) power plant, a technology that implements a classical steam Rankine cycle using low-boiling fluid of organic origin. Depending on the specific application and the choice of the designer, the ORC can be optimized using one or several criteria. The selected objectives reflect various system performance aspects, such as: thermodynamic, economic, environmental or other. In this study, a novel criterion called exergy utilization index (XUI) is defined and used to maximize the utilization of an energy source in the ORC system. The maximization of the proposed indicator is equivalent to bring the heat carrier outlet temperature to the ambient temperature as close as possible. In the studied case, the XUI is applied along with the total heat transfer area of the system, and the multi-objective optimization is performed in order to determine the optimal operating conditions of the ORC. Moreover, to reveal a relationship between the XUI and important ORC performance indicators, a parametric study is conducted. Based on the results, it has been found that high values of the XUI (~80%) correspond to optimal values of exergy-based indicators such as: exergy efficiency, waste exergy ratio, environmental effect factor or exergetic sustainability index. Furthermore, the values of the XUI = 60%–80% are associated with beneficial economic characteristics reflected in a low payback period (<11.3 years). When considering the ecological aspect, the maximization of XUI has resulted in minimization of exergy waste to the environment. In general, the simple formulation and straightforward meaning make the XUI a particularly useful indicator for the preliminary evaluation and design of the ORC. Furthermore, the comparative analysis with respect to other well-known performance indicators has shown that it has a potential to be successfully applied as the objective function in the optimization of ORC power plants.

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Section: Heat Transfer Analysismentioning

confidence: 99%

A Novel Exergy Indicator for Maximizing Energy Utilization in Low-Temperature ORC

Jankowski

Borsukiewicz-Gozdur

2020

Energies

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“…In the literature, there are many methods for dealing with multi-objective optimization (MOO) problems. As one of the most commonly applied optimization techniques [42], Non-dominated Sorting Genetic Algorithm-II (NSGA-II) is used in this study.…”

Section: Bi-objective Optimizationmentioning

confidence: 99%

Development of Decision-Making Tool and Pareto Set Analysis for Bi-Objective Optimization of an ORC Power Plant

2020

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Power plants based on organic Rankine cycle (ORC) are known for their capacity in converting low and medium-temperature energy sources to electricity. To find the optimal operating conditions, a designer must evaluate the ORC from different perspectives including thermodynamic performance, technological limits, economic viability, and environmental impact. A popular approach to include different criteria simultaneously is to formulate a bi-objective optimization problem. This type of multi-objective optimization (MOO) allows for finding a set of optimal design points by defining two different objectives. Once the optimization is completed, the decision-making analysis shall be carried out to identify the final design solution. This study aims to develop a decision-making tool for facilitating the choice of the optimal design point. The proposed procedure is coded in MATLAB based on the commonly used Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). By providing the capability to graphically identify the decisions taken, the tool developed in the study is called Tracking and Recognizing Alternative Design Solutions (TRADeS). Analysis of our data shows that certain regions of Pareto set points should be excluded from the design space. It was noted that in these regions a high rate at which one of the objectives moves away from its ideal value coincides with a low rate at which the second criterion approaches its ideal solution. Hence, it was recommended that the criteria weights corresponding to excluded regions of the Pareto set should be discarded when selecting the final design point. By comparing the results obtained using the proposed model to those of existing decision-making techniques, it was concluded that while the known approaches are appropriate for an easy and fast selection of the final design point, the presented procedure allows for a more comprehensive and well-rounded design. It was shown that our design tool can be successfully applied in the decision-making analysis for problems that aim at optimizing the ORC using two design criteria. Finally, the proposed software benefits from a generic structure and is easy to implement which will facilitate its use in other industrial applications.

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“…Other applications of a PRC to increase energy efficiency have also been previously proposed. These include using a PRC to recover additional usable energy from: 1) the boiler exhaust gas [6], 2) the gas turbine exhaust in a gas turbine or combined cycle power generation system [7], and 3) from lower temperature heat sources such as geothermal [8]. Similarly, Chacartegui et al evaluated the use of six SWFs-R113, R245, isobutene, toluene, cyclohexane, and isopentane-to replace steam in the bottoming cycle in a combined cycle gas turbine power plant.…”

Section: Introductionmentioning

confidence: 99%

Evaluating the Technical and Economic Feasibility of Adding a Power Recovery System to the Steam Condenser of a Lignite Coal-Fired Power Plant

Wilmer¹,

Seames²,

Bazile³

et al. 2022

JPEE

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Steam is the typical working fluid to drive turbo-generators in coal-fired power plants. It is an effective working fluid, but some of its energy is extracted in an unusable form when condensed. A Power Recovery Cycle (PRC) using a more volatile Secondary Working Fluid (SWF) added to the steam cycle could improve energy efficiency. PRCs have been applied to the flue gas and for combined cycle systems but not to traditional plant steam cycles. This paper details an analysis of adding a steam cycle PRC to a 500 MW lignite coal-fired power plant. A validated model of the plant was developed and PRCs using the three most attractive SWFs, benzene, methanol and hydrazine, were then added to the model. Adding a benzene, methanol, or hydrazine steam cycle PRC will produce an additional 59, 34, and 49 MW, respectively. An AACE Class 4 factored broad capital cost estimate and comparable operating costs and revenue estimates were developed to evaluate PRC feasibility. The benzene, methanol, and hydrazine processes had 2019 Net Present Values

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Multi-objective approach for determination of optimal operating parameters in low-temperature ORC power plant

Cited by 36 publications

References 53 publications

A Novel Exergy Indicator for Maximizing Energy Utilization in Low-Temperature ORC

A Novel Exergy Indicator for Maximizing Energy Utilization in Low-Temperature ORC

Development of Decision-Making Tool and Pareto Set Analysis for Bi-Objective Optimization of an ORC Power Plant

Evaluating the Technical and Economic Feasibility of Adding a Power Recovery System to the Steam Condenser of a Lignite Coal-Fired Power Plant

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