Risk assessment, dynamic analysis and multi-objective optimization of a solar-driven hybrid gas/steam power plant

Hajibashi, F. Amini; Arabkoohsar, Ahmad; Babaelahi, Mojtaba

doi:10.1007/s10973-020-10221-z

Cited by 9 publications

(4 citation statements)

References 36 publications

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“…According to the results, the third important indicator in increasing the level of resilience against fire is the risk perception and acceptance index with a final weight of 0.138. The risk acceptance and recognition index was reported as the important and effective indicator in organizational resilience in the study of Benoît and Caroline study (2020), which is consistent with the results of the present study [9]. Acceptance and risk recognition is possible using fire risk assessment [26].…”

Section: Discussionsupporting

confidence: 89%

“…To calculate the final weight vector, the weight vector calculated in the previous step must be normalized, so the final weight is calculated from Equation [9]. Equation 9: 𝑤 = 𝑑(𝐴 𝑙 ).…”

Section: Calculating the Final Weight Vectormentioning

confidence: 99%

“…However, in order to prevent the occurrence of human and financial losses due to fire in these power plants, measures such as fire risk assessment, monitoring of fire alarm system and increasing the level of resilience in case of fire is recommended [6][7][8]. different definitions of resilience have been proposed in the field of accidents [9].…”

Section: Introductionmentioning

confidence: 99%

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Identifying and Prioritizing of Indicators Affecting Resilience in the Event of Fire-Induced Emergencies in a Combined Cycle Power Plant Using Fuzzy Analytic Hierarchy Process (FAHP)

Mousavi,

Naeni,

Haghighat

et al. 2023

Middle East J Islam Stud Cult

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Background: Increasing the level of resilience is one of the approaches to reduce the consequences of fire. Emergency resilience is one of the most important and practical concepts in crisis management that has been considered in recent years. Objectives: The current study was aim to identify and prioritize of indicators affecting resilience in the event of fire-induced emergencies in a combined cycle power plant using fuzzy analytic hierarchy process (FAHP). Methods: By reviewing the texts and semi-structured interviews with 15 experts, 20 effective indicators in fire resilience in the combined cycle power plant were identified and classified into three main groups based on the McManomen model. In the next step, the weights of the indices of each group were determined using the FAHP method. Finally, the first three indicators of each group were selected for final prioritization and pairwise comparisons were performed between them again. Results: The results showed that three indicators of structural stability (w=0.168), senior management awareness of roles and responsibilities (W = 0.145), risk perception and acceptance (W = 0.138) play the most important role. And logistics support index (0.069) is the least important in determining the level of resilience. Conclusion: By recognizing the effective indicators in determining the level of resilience against fire in emergency situations, decision makers could define and implement corrective and preventive measures to improve safety and increase resilience based on priority.

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Section: Discussionsupporting

confidence: 89%

Section: Calculating the Final Weight Vectormentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Identifying and Prioritizing of Indicators Affecting Resilience in the Event of Fire-Induced Emergencies in a Combined Cycle Power Plant Using Fuzzy Analytic Hierarchy Process (FAHP)

Mousavi,

Naeni,

Haghighat

et al. 2023

Middle East J Islam Stud Cult

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“…Therefore, the system must be optimized by multi-objective optimization algorithms. There were many modern heuristic methods, such as particle swarm optimization algorithm [22], genetic algorithm [23,24], artificial neural networks coupled with genetic algorithm [25] and the non-dominated sorting genetic algorithm (NAGA-II) [26], which were used to solve multi-objective optimization problems. From the perspectives of thermodynamics and economics, a novel combined cooling and power cogeneration system driven by geothermal hot water was analyzed and optimized by Akbari Kordlar and Mahmoudi [27], which was a combination of an organic Rankine cycle and an absorption refrigeration cycle.…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Optimization of Steam Power System Under Demand Uncertainty

et al. 2021

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There are many uncertain factors, which are critical for the efficient operation of steam power systems (SPSs). Due to the modelling inaccuracy and the changing environment, it is challenging to directly formulate the model for SPS operation. In this paper, a method is proposed to alleviate the influence of small-scale fluctuation by discretizing the uncertainty working condition on the SPS. Moreover, the exergy analysis method is proposed to evaluate the quality of different energy and develop a mixedinteger nonlinear model of SPS considering the economic and exergy objectives. Finally, the ε-constraint method is used to obtain the Pareto front of the multi-objective optimization problem, and the fuzzy decision is used to determine the optimal strategy of the system. By introducing the multi-objective optimization of the SPS model with demand side uncertainty, a flexible scheduling scheme with good economic and exergy objectives is obtained. Comparing with the optimal scheduling without the demandside uncertainty, numerical results indicate the feasibility and effectiveness of the model.

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Design and analysis of a hybrid solar power plant for co-production of electricity and water: a case study in Iran

Rafat

Babaelahi

Arabkoohsar

2021

J Therm Anal Calorim

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Risk assessment, dynamic analysis and multi-objective optimization of a solar-driven hybrid gas/steam power plant

Cited by 9 publications

References 36 publications

Identifying and Prioritizing of Indicators Affecting Resilience in the Event of Fire-Induced Emergencies in a Combined Cycle Power Plant Using Fuzzy Analytic Hierarchy Process (FAHP)

Identifying and Prioritizing of Indicators Affecting Resilience in the Event of Fire-Induced Emergencies in a Combined Cycle Power Plant Using Fuzzy Analytic Hierarchy Process (FAHP)

Multi-Objective Optimization of Steam Power System Under Demand Uncertainty

Design and analysis of a hybrid solar power plant for co-production of electricity and water: a case study in Iran

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