Thermo-economic evaluation of various bottoming ORCs for geothermal power plant, determination of optimum cycle for Sabalan power plant exhaust

Bina, Saeid Mohammadzadeh; Jalilinasrabady, Saeid; Fujii, Hikari

doi:10.1016/j.geothermics.2017.06.007

Cited by 64 publications

(7 citation statements)

References 39 publications

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“…The bounds for the decision variables are presented in Equations (12)- (15). The constraints providing a rational design of the radial-inflow turbine are expressed in Equations (16)- (22). The practical limitation imposed on the outlet temperature T gw2 of the geothermal water, which allows avoiding the silica oversaturation, is presented in Equation (23).…”

Section: Optimization Problemmentioning

confidence: 99%

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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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Section: Optimization Problemmentioning

confidence: 99%

“…With the second approach, the criteria weights are determined using objective methods [21]. An exemplary application of the latter procedure was presented in the study by Bina et al [22]. The authors evaluated the performance of four geothermal-based ORCs by conducting a thermo-economic analysis.…”

Section: Introductionmentioning

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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“…The NG-co is responsible for natural gas compression transportation. Electricity and heat exergy consumed by this two unit, and their EMCE matrixes are shown in Equations (36) and (37):…”

Section: Crude Oil Process Systemmentioning

confidence: 99%

Optimal Planning of Integrated Energy Systems for Offshore Oil Extraction and Processing Platforms

Zhang

Qadrdan

et al. 2019

Energies

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With the introduction of new technologies, such as waste heat recovery units (WHRU), associated gas utilization, the energy flow coupling relationship is further deepened within the energy system of the offshore oil and gas production platform. Besides, the energy system is closely linked with the oil and gas production system, and a closed-loop relationship between energy flow and material flow can be revealed. Uncertainties of energy supply and production process may lead to system-wide fluctuations, which threaten the stable operation of the platform. Therefore, an optimal planning model of integrated energy system for offshore oil and gas production platform is proposed in this paper. Firstly, a generalized energy and material flow model is proposed, three matrixes are defined based on laws of thermodynamics, including energy matrix, process matrix and feedback matrix. Secondly, the energy-material conversion relationship between the energy system and production system of a typical offshore oil and gas platform is quantitatively described, together with the coupling between the input and output of the two systems. Thirdly, considering the energy-material balance constraints and the uncertainties of production system, a multi-objective stochastic planning model for the offshore integrated energy system is established, which takes economics and environmental protection into consideration. A Monte Carlo simulation-based NSGA-II algorithm is proposed to solve the model. Finally, the validity and feasibility of the proposed methodology are demonstrated through an offshore oil and gas platform in Bohai, China. Compared with the traditional planning method, the total cost and CO2 emissions of the proposed method are reduced by 18.9% and 17.3%, respectively.

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“…The unit cost of exergy for the product is considered to determine the economic performance of the ORC subsystem and it can be illustrated as [27]:…”

Section: Economic Analysismentioning

confidence: 99%

“…According to Liu's work [28], the heat exchanger area of the evaporator ( A Cond ) is estimated as 376.0 m 2 . The CRF is the capital recovery factor, which can be defined by the Equation (27):…”

Section: Economic Analysismentioning

confidence: 99%

Thermodynamic Investigation of an Integrated Solar Combined Cycle with an ORC System

Wang

2019

Entropy

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An integrated solar combined cycle (ISCC) with a low temperature waste heat recovery system is proposed in this paper. The combined system consists of a conventional natural gas combined cycle, organic Rankine cycle and solar fields. The performance of an organic Rankine cycle subsystem as well as the overall proposed ISCC system are analyzed using organic working fluids. Besides, parameters including the pump discharge pressure, exhaust gas temperature, thermal and exergy efficiencies, unit cost of exergy for product and annual CO2-savings were considered. Results indicate that Rc318 contributes the highest exhaust gas temperature of 71.2℃, while R113 showed the lowest exhaust gas temperature of 65.89 at 800 W/m2, in the proposed ISCC system. The overall plant thermal efficiency increases rapidly with solar radiation, while the exergy efficiency appears to have a downward trend. R227ea had both the largest thermal efficiency of 58.33% and exergy efficiency of 48.09% at 800W/m2. In addition, for the organic Rankine cycle, the exergy destructions of the evaporator, turbine and condenser decreased with increasing solar radiation. The evaporator contributed the largest exergy destruction followed by the turbine, condenser and pump. Besides, according to the economic analysis, R227ea had the lowest production cost of 19.3 $/GJ.

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Thermo-economic evaluation of various bottoming ORCs for geothermal power plant, determination of optimum cycle for Sabalan power plant exhaust

Cited by 64 publications

References 39 publications

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

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

Optimal Planning of Integrated Energy Systems for Offshore Oil Extraction and Processing Platforms

Thermodynamic Investigation of an Integrated Solar Combined Cycle with an ORC System

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