Spray cooling system design and optimization for cooling performance enhancement of natural draft dry cooling tower in concentrated solar power plants

Sun, Yubiao; Guan, Zhiqiang; Gurgenci, Hal; Wang, Jianyong; Dong, Peixin; Hooman, Kamel

doi:10.1016/j.energy.2018.11.111

Cited by 56 publications

(12 citation statements)

References 30 publications

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“…Fault tree analysis and system reliability evaluation have been done for combined cycle power plants [29]. The performance assessment and optimization of spray cooling system design in solar power plants is studied in [30]. Machine learning techniques are frequently used to optimize evaporation-based cooling towers, and performance is optimized using particle swarm optimization [31].…”

Section: Related Workmentioning

confidence: 99%

Efficient Stochastic Model for Operational Availability Optimization of Cooling Tower Using Metaheuristic Algorithms

et al. 2022

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Metaheuristic algorithms are extensively utilized to find solutions and optimize complex industrial systems' performance. In this paper, metaheuristic algorithms are utilized to predict the optimum value of the operational availability of a cooling tower in a steam turbine power plant. These techniques have some flaws like poor convergence speed, being stuck in local optima, and premature convergence. For this purpose, a novel efficient stochastic model is proposed for a cooling tower that is configured with six subsystems. The Markovian birth-death process is utilized to develop the Chapman-Kolmogorov differentialdifference equations. All the random variables are statically independent, and repairs are perfect. Failure rates are exponentially distributed, while repair rates follow the arbitrary distribution. Steady-state availability (SSA) of the system is derived concerning various failure and repair rates. The sensitivity analysis of SSA is also performed to identify the most critical component. Further, system availability is optimized using genetic algorithm (GA) and particle swarm optimization (PSO) because they are found to be more suitable for such types of problems. It is revealed that the PSO outperforms GA in predicting the availability of cooling towers used in steam turbine power plants.

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Section: Related Workmentioning

confidence: 99%

Efficient Stochastic Model for Operational Availability Optimization of Cooling Tower Using Metaheuristic Algorithms

et al. 2022

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“…In general, dry-cooling systems are less efficient than wet-cooling systems because air does not transfer heat as efficiently as water does . Moreover, dry facilities become less efficient as ambient air temperatures increase because of increased condensing temperature. , At ambient air temperatures greater than 25 °C, one study (Hamanaka et al) showed that efficiency decreases even more because of decreased turbine efficiency in addition to increased condensing temperature. The efficiency of wet-cooling systems also decreases as ambient temperatures increase, but the efficiency of wet-cooling systems typically decreases at a lower rate than dry-cooling systems due to factors such as humidity …”

Section: Review Of Water Withdrawals Water Use and Reuse And Zld Appr...mentioning

confidence: 99%

Zero Liquid Discharge and Water Reuse in Recirculating Cooling Towers at Power Facilities: Review and Case Study Analysis

et al. 2022

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Zero liquid discharge (ZLD) systems installed at power facilities with the primary purpose of meeting water discharge regulations have the added benefit of providing high quality effluent that can be reused in the facility. This paper provides a review of water use in power sector recirculating cooling towers and a baseline assessment of on-site water reuse at natural gas combined cycle (NGCC) power facilities. Two NGCC facilities with reverse-osmosis (RO) or brine-concentrator processes followed by evaporation ponds were selected as case studies; data from these facilities were used to quantify the water, energy, and cost implications of implementing conventional and emerging ZLD technologies. At one case study facility, model results show that implementation of ZLD would reduce water withdrawals by 18%, which is less than savings associated with implementation of dry cooling but comparable to current efforts to reduce water withdrawals by increasing cycles of concentration. Implementation of ZLD using high-recovery RO resulted in a doubling of the levelized cost of water (LCOW). LCOW increased more when a brine concentrator was used. For both case studies, the ZLD system using high-recovery RO required less than 0.1% of a facilitiy's annual electricity generation and the ZLD system using a brine concentrator process required less than 0.8%. Additionally, increasing the evaporation pond area to minimize required ZLD system recovery rates and reduce system electricity costs does not reduce the LCOW. Instead, the LCOW increases because less water is recovered and more water is lost to evaporation. However, if water availability decreases or water competition/cost increases, facilities may be incentivized to maximize water recovery from ZLD systems.

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“…Moreover, Australia researchers also proposed smallscale dispatchable CSP technology equipped with sprayassisted dry cooling technology. 114,115 Another novelty in this advanced technology is the adoption of using supercritical carbon dioxide as working fluid, which utilizes high electricity generation efficiency of Brayton power cycles. China is also considering using this new technology for clean electricity production in rural and remote areas in western China.…”

Section: Concentrating Solar Powermentioning

confidence: 99%

The achievement, significance and future prospect of China's renewable energy initiative

Sun

2020

Int J Energy Res

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China's high-speed economic growth and ambitious urbanization depend heavily on the massive consumption of fossil fuel. However, the overdependence on the depleting fossil fuels causes severe environmental problems, making China the largest energy consumer and the biggest CO 2 emitter in the world. Faced with significant challenges in terms of managing its environment and moving forward with the concept of sustainable economic development, the Chinese government plans to move away from fossil fuels and rely on renewables such as hydropower, wind power, solar power, biomass power and nuclear power. In this paper, the current status of China's renewable energy deployment and the ongoing development projects are summarized and discussed. Most recent developments of major renewable energy sources are clearly reviewed. Additionally, the renewable energy development policies including laws and regulations, economic encouragement, technical research and development are also summarized. This study showcases China's achievements in exploiting its abundant domestic renewable energy sources to meet the future energy demand and reducing carbon emissions. To move toward a low carbon society, technological progress and policy improvements are needed for improving grid access (wind), securing nuclear fuel supplies and managing safety protocols (nuclear), integrating supply chains to achieve indigenous manufacture of technologies across supply chains (solar). Beyond that, a preliminary prediction of the development of China's future renewable energy developments, and proposes targeted countermeasures and suggestions are proposed. The proposal involves developing smart-grid system, investing on renewable energy research, improving the feed-in tariff system and clarifying the subsidy system.

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Spray cooling system design and optimization for cooling performance enhancement of natural draft dry cooling tower in concentrated solar power plants

Cited by 56 publications

References 30 publications

Efficient Stochastic Model for Operational Availability Optimization of Cooling Tower Using Metaheuristic Algorithms

Efficient Stochastic Model for Operational Availability Optimization of Cooling Tower Using Metaheuristic Algorithms

Zero Liquid Discharge and Water Reuse in Recirculating Cooling Towers at Power Facilities: Review and Case Study Analysis

The achievement, significance and future prospect of China's renewable energy initiative

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