Optimization of generator temperatures in the heat operated absorption cycle using four types of aqueous salt solutions

Malik, Ishfaq Hussain; Siddiqui, Mahmudur Rahman

doi:10.1016/0196-8904(95)00203-0

Cited by 10 publications

(3 citation statements)

References 3 publications

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“…The system was optimized by using different types of working pairs to maximize the COP by using the first law of thermodynamics [11] and optimized for generator and C temperature and the operating temperature was calculated. For lithium bromide and water, afterward different absorbent and ref rigerant pairs were used for this system [12]. A numbers of pairs like ammonia lithium nitrate, ammonia sodium thiocyanate and ammoniawater have been attempted to optimization of single effect system for the generator temp was carried out [13] and achieved the optimal generator temperature [14] for the absorption system which was operated with four different types of aqueous salt solution with different heat inputs sources.…”

Section: Introductionmentioning

confidence: 99%

Thermal Examination of Vapour Absorption System using Experimental Design Method

2019

ijeat

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The experimental investigation has been carried out for 100 kW triple-effect vapor absorption refrigeration systems using parabolic trough collector. The data have been recorded and analyzed for designing a new vapor absorption refrigeration system with process heat for industrial applications for Gurugram regions of India. The solar resources have also been analyzed for designing of the system. The thermodynamic evaluation of 100 kW triple-effect vapor absorption refrigeration systems has analyzed for different parameters. The heat is supplied from solar thermal technology which converts solar radiation to useful heat of the total input energy of the proposed cooling system is taken from the heat transfer fluid through parabolic trough collector (PTC) as per availability of solar insolation at the pressurized water of 140-180 oC supplied to the generator at a mass flow rate of 7 kg/s. It is analyzed that in the month of November radiation drops because of cosine losses as compared to May and Direct Normal Irradiance decreases in the month of December, January, July, August, and September.

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Section: Introductionmentioning

confidence: 99%

Thermal Examination of Vapour Absorption System using Experimental Design Method

2019

ijeat

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“…Vast amounts of literature exist that deal with so many different aspects of energy and its rational use especially in energy intensive manufacturing plants, in which authors investigated energy efficiency indicators, comparisons, and policies across industrial sectors and across countries, for example [3,4,5,6,7]. While others have focused on the development of economic and mathematical models relating physical process parameters to generate optimal operation points of production equipment and energy generating plants, for example [8,9].…”

Section: Introductionmentioning

confidence: 99%

A statistical approach linking energy management to maintenance and production factors

Al-Ghanim

2003

Journal of Quality in Maintenance Engineering

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This research has addressed a quantitative approach for improving energy management through applying statistical techniques aimed at identifying and controlling factors linked to energy consumption rates at manufacturing plants. The paper presents analysis and results of multiple linear regression models used to establish the significance of a number of energy related management factors in controlling energy usage. Regression models constructed for this purpose proved the existence of statistically valid relationships between electrical energy consumption and maintenance and production management factors, namely, failure rate and production rate, where R 2 values of the magnitude of 65% were obtained. Furthermore, an economical treatment based on the derived regression models was formulated and demonstrated that effective management practices associated with proper maintenance, cost accounting and reporting systems can result in highly significant savings in energy usage. Practical Implications The results of this study represented a real-life example of using quantitative analysis techniques for controlling and improving energy consumption rates in an actual manufacturing setup using data collected from live records. One of the most important factors that were found to impact energy consumption in energy-intensive plants was the failure rate of production equipment. Repetitive failures of production machines lead to increased machine warming and re-startup energy, thus increasing energy consumed per unit of production. Since machine failure rates are highly dependent on the quality of the maintenance system in general, this study has uncovered a clear linkage between maintenance quality and energy consumption rates. In this context, maintenance policies should be designed based on, among other factors, energy consumption and energy costs. By using accurate cost data of related cost elements involved in a manufacturing system, production and maintenance managers will be able to set an "optimum" level of production line availability that minimizes the overall maintenance and energy consumption costs.

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“…This technology has become increasingly popular because it uses natural substances as working fluid in pair of refrigerant and absorbent like H 2 O-NH 3 , LiBr 2 -H 2 O, LiNO 3 -NH 3 , NaSCN-NH 3 [1,2,3] etc. which do not cause global warming and ozone depletion.…”

Section: Introductionmentioning

confidence: 99%

Thermodynamic Analysis of Single Effect Vapor Absorption Refrigeration Cycle

2015

IJSR

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Optimization of generator temperatures in the heat operated absorption cycle using four types of aqueous salt solutions

Cited by 10 publications

References 3 publications

Thermal Examination of Vapour Absorption System using Experimental Design Method

Thermal Examination of Vapour Absorption System using Experimental Design Method

A statistical approach linking energy management to maintenance and production factors

Thermodynamic Analysis of Single Effect Vapor Absorption Refrigeration Cycle

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