A review on the thermal hydraulic characteristics of the air-cooled heat exchangers in forced convection

Kumar, Ashutosh; Joshi, Jyeshtharaj B.; Nayak, Arun K.; Vijayan, P.K.

doi:10.1007/s12046-015-0362-x

Cited by 18 publications

(6 citation statements)

References 160 publications

(193 reference statements)

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“…Recently, however, there are numerous computational fluid dynamics studies [31][32][33][34][35][36] coupled with the Taguchi method and ANOVA. Recently, however, there are numerous computational fluid dynamics studies [31][32][33][34][35][36] coupled with the Taguchi method and ANOVA.…”

Section: Introductionmentioning

confidence: 99%

Investigation of efficient parameters on optimum insulation thickness based on theoretical‐Taguchi combined method

Arslanoglu

Yiğit

2017

Env Prog and Sustain Energy

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Thermal insulation of buildings is one of the most effective energy conservation methods. However, most of the building walls still have little or no insulation despite Turkish Thermal Insulation Standard in Turkey. Four provinces from different climate zones, obtained by the Turkish Thermal Insulation Standard; Izmir (1st zone), Istanbul (2nd zone), Ankara (3rd zone), and Erzurum (4th zone) were selected for analysis. The aim of this study is to investigate of efficient parameters on optimum insulation thickness (OIT) in terms of the order of importance using theoretical‐Taguchi coupled method. The OIT was considered as performance parameter. An L16 (43*22) orthogonal array was chosen as a design plan for the five parameters (wall, insulation, fuel type, heating degree‐day (HDD) and lifetime). The results were analyzed using signal‐to‐noise (S/N) ratio and analysis of variance method. Furthermore, contribution ratios for each parameter on OIT. HDD value is the most effective parameter on the OIT with a contribution ratio of 34.53% percentage of the total effect. The second most effective parameter is insulation type with a contribution ratio of 30.6%, and the effect of fuel type on the OIT is contribution ratio of 24.18% and it is followed by lifetime (8.2%), wall type (0.67%), respectively. Consequently, daily mean temperature of cities is most important parameter on OIT. Insulation and fuel type effect is less than HDD, the impact of fuel type is close the impact of insulation type, and the effect of wall type is less than the other parameters. © 2017 American Institute of Chemical Engineers Environ Prog, 36: 1824–1831, 2017

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Section: Introductionmentioning

confidence: 99%

Investigation of efficient parameters on optimum insulation thickness based on theoretical‐Taguchi combined method

Arslanoglu

Yiğit

2017

Env Prog and Sustain Energy

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“…According to the analysis of Joshi et al [50], the theoretically available roof area for PV systems worldwide is 0.2 million km 2 . Based on satellite imagery and a combination of Big Data, machine learning, and geospatial data analysis, the study determined the available rooftop area.…”

Section: Lend Usementioning

confidence: 99%

Environmental Impact of Pv Power Systems

Bošnjaković¹,

Sánta²,

Crnac³

et al. 2023

Preprint

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In response to the problem of increasing climate change and energy security, investment in renewable energy sources has increased significantly both in Europe and globally. Wind and solar power plants are expected to be the largest contributors to global decarbonization, ranking first and second in projected capacity by 2050. Since all power plants have some impact on the environment, this also applies to photovoltaic power plants. Because of the large capacities projected for PV installed capacity, their environmental impacts should be evaluated. The environmental impacts of PV power plants change over time. Improving the manufacturing technology of PV system components, increasing the efficiency of solar cells, and using materials that are less harmful to the environment will reduce these impacts. Manufacturing PV system components is a highly energy-intensive process that involves greenhouse gas emissions. As new renewable energy capacity is built, the amount of "green" electricity on the grid increases, reducing CO2 emissions per kWh consumed. The objective of this paper is to analyze the current status of the environmental impact of PV power plants under these changing conditions in terms of CO2 emissions, land use, pollutant and noise emissions, and water consumption. The capacity installed to date will reach the end of its lifetime by 2050, which means that the amount of waste associated with it will increase over time. This can have a significant impact on the environment, which is why part of the work is dedicated to this problem. In addition to the available information from the literature, in the part related to land use, the authors also made their own estimates based on data on newly installed PV power plants and PV modules available on the market. The results of the analysis show that there is enough land both in Europe and worldwide to install the planned capacities of rooftop and ground-mounted PV power plants. CO2 emissions are at the same level as for concentrated solar power, with a decreasing trend. Pollutant emissions, noise and water consumption are not a major problem compared to other types of power plants. Overall, it can be concluded that the expansion of PV capacity has a very positive impact on the environment.

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“…The traditional physical equations for modeling (e.g., [38,39]) lack the consideration of ambient wind and fouling. In this case, the ε-SVR method [40] is applied for training the back pressure : Here, only the modeling of F ACC by machine learning (support vector regression) is discussed in detail.…”

Section: The Offline Phase For Performance Prediction Of the Turbine mentioning

confidence: 99%

The Application of Cyber Physical System for Thermal Power Plants: Data-Driven Modeling

Yang

et al. 2018

Energies

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Optimal operation of energy systems plays an important role to enhance their lifetime security and efficiency. The determination of optimal operating strategies requires intelligent utilization of massive data accumulated during operation or prediction. The investigation of these data solely without combining physical models may run the risk that the established relationships between inputs and outputs, the models which reproduce the behavior of the considered system/component in a wide range of boundary conditions, are invalid for certain boundary conditions, which never occur in the database employed. Therefore, combining big data with physical models via cyber physical systems (CPS) is of great importance to derive highly-reliable and -accurate models and becomes more and more popular in practical applications. In this paper, we focus on the description of a systematic method to apply CPS to the performance analysis and decision making of thermal power plants. We proposed a general procedure of CPS with both offline and online phases for its application to thermal power plants and discussed the corresponding methods employed to support each sub-procedure. As an example, a data-driven model of turbine island of an existing air-cooling based thermal power plant is established with the proposed procedure and demonstrates its practicality, validity and flexibility. To establish such model, the historical operating data are employed in the cyber layer for modeling and linking each physical component. The decision-making procedure of optimal frequency of air-cooling condenser is also illustrated to show its applicability of online use. It is concluded that the cyber physical system with the data mining technique is effective and promising to facilitate the real-time analysis and control of thermal power plants.

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A review on the thermal hydraulic characteristics of the air-cooled heat exchangers in forced convection

Cited by 18 publications

References 160 publications

Investigation of efficient parameters on optimum insulation thickness based on theoretical‐Taguchi combined method

Investigation of efficient parameters on optimum insulation thickness based on theoretical‐Taguchi combined method

Environmental Impact of Pv Power Systems

The Application of Cyber Physical System for Thermal Power Plants: Data-Driven Modeling

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