Performance comparison of solar-powered cogeneration and trigeneration systems via energy and exergy analyses

Ahmad, Shamshad; Parvez, Mohd; Khan, Tasmeem Ahmad; Siddiqui, Suhail Ahmad; Khan, Osama

doi:10.1504/ijex.2022.126832

Cited by 14 publications

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“…This exergy destruction analysis provides useful data and also aids designers in generating an order of importance among the components developed for the proposed solar-operated organic Rankine cycle. The results here have also been validated by Ahmad et al (2022).…”

Section: Defining Results and Discussionsupporting

confidence: 55%

“…Over the past few years, a large number of studies have been devoted to developing various technologies to provide a viable and feasible solution for harnessing the potential of thermal radiation. One of these technologies was seen in the development of a central receiver system that primarily deploys a substantial number of heliostat field solar collectors integrated with solar receivers and placed at the zenith of a solar tower (Collado & Guallar, 2019;Ahmad et al, 2022;D'Souza et al, 2023). This integrated system employs a working fluid primarily in molten salt or Duratherm oil, thereby deploying first-of-their kind grid-connected commercial solar power plants (Zolfagharnasab et al, 2020;Caraballo et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

“…Properties of the solar-operated steam Rankine cycle-ORC configuration combined-cycles system(Ahmad et al, 2022;Akram et al, 2023) …”

mentioning

confidence: 99%

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First and second law assessment of a solar tower power plant for electrical power production and error analysis

Parvez

2023

Seatific

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The primary objective of this study is to investigate the solar-powered combined-cycles system for converting the available solar energy to its truest potential and for generating electrical power. This combined-cycles system consists of a solar power tower, steam turbine cycle, and organic Rankine cycle. The study focuses on recovering the waste heat that is obtained from the exit of a steam turbine and using it to operate the Rankine cycle with refrigerants R-113, R-11, and R-1233zd. The analysis also predicts the effects of solar irradiance for a mass flow rate of molten salt and steam, turbine inlet pressure, and turbine inlet temperature on first and second law efficiencies in the combined-cycles system. The novel concept of uncertainty analysis is also introduced in this work in order to provide precise accurate results and remove all errors, which are found to be in the desired range of 3.81%. The results also show that as the direct normal irradiation (DNI) increases from 600 W/m 2 to 1000 W/m 2 , first law efficiency is obtained in the range of 32.31% to 37.99% and second law efficiency from 24.14% to 25.51% after employing the organic Rankine cycle (ORC) system. Further, the results indicate the maximum exergy destruction that occurs in the central receiver to be around 42%, in the heliostat to be 31%, in the steam generator to be 10%, and in the heat exchanger to be 3.6%.

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Section: Defining Results and Discussionsupporting

confidence: 55%

Section: Introductionmentioning

confidence: 99%

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First and second law assessment of a solar tower power plant for electrical power production and error analysis

Parvez

2023

Seatific

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“…Since Christopher Strachey built the first AI programme in 1951, the field of artificial intelligence (AI) has advanced significantly. Artificial intelligence (AI) was in its infancy at the time and was predominantly a topic of research in academic institutions [4]. John McCarthy organised the Dartmouth Conference in 1956, which is where he came up with the term "artificial intelligence."…”

Section: Introductionmentioning

confidence: 99%

“…Research on artificial intelligence (AI) concentrated on rule-based and expert systems in the 1960s and 1970s. Nevertheless, this strategy has limitations because to the requirement for additional computational power and data [4]. In the 1980s and 1990s, researchers in the field of artificial intelligence (AI) shifted their attention to machine learning (ML) and neural networks, which enabled computers to learn from data and gradually improve their performance.…”

Section: Introductionmentioning

confidence: 99%

Connected Health: Revolutionizing Patient Care Through Artificial Intelligence Innovations

Dr. Rahul Pulimamidi, Prabu Ravichandran

2023

tjjpt

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The pharmaceutical sector is not immune to the radical changes brought about by the widespread adoption of AI. Automation, optimisation, and individualization are just some of the ways that artificial intelligence is being applied in the pharmaceutical business, from drug research to dispensing. This article examines how AI is already being used and where it has the potential to go in the pharmaceutical sector. We'll take a look at how AI is being used in the pharmaceutical industry, from R&D to personalised medicine to quality assurance to supply chain management to patient counselling. Data privacy, ethical concerns, and legal impediments are just a few of the difficulties we'll cover in relation to the use of AI in the pharmaceutical industry. This article will highlight studies that demonstrate how AI has the potential to drastically revolutionise the pharmaceutical industry through accelerating medicine development, improving patient outcomes, lowering costs, and increasing efficiency and accuracy across the board. This has led many to predict that AI will revolutionise every aspect of healthcare, from diagnosis to treatment to follow-up care. In most people's minds, AI techniques will supplement and improve upon existing human efforts rather than supplant them. Artificial intelligence is prepared to assist the healthcare business with administrative work, clinical documentation, patient outreach, and specialised aid in areas such as image analysis, medical device automation, and patient monitoring.

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First and Second Law Analyses of an Organic Rankine Cycle to Recover the Waste Heat from the Solar-Operated Combined Cycle Power Plants with Grid

Akram,

Parvez,

Rafi

et al. 2023

Springer Proceedings in Materials

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Performance comparison of solar-powered cogeneration and trigeneration systems via energy and exergy analyses

Cited by 14 publications

References 0 publications

First and second law assessment of a solar tower power plant for electrical power production and error analysis

First and second law assessment of a solar tower power plant for electrical power production and error analysis

Connected Health: Revolutionizing Patient Care Through Artificial Intelligence Innovations

First and Second Law Analyses of an Organic Rankine Cycle to Recover the Waste Heat from the Solar-Operated Combined Cycle Power Plants with Grid

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