The Experts below are selected from a list of 120 Experts worldwide ranked by ideXlab platform
Surendra Singh Kachhwaha - One of the best experts on this subject based on the ideXlab platform.
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nlp model based thermoeconomic optimization of vapor compression absorption cascaded refrigeration system
Energy Conversion and Management, 2015Co-Authors: Vaibhav Jain, Gulshan Sachdeva, Surendra Singh KachhwahaAbstract:Abstract This paper addresses the size and cost estimation of vapor compression–absorption cascaded refrigeration system (VCACRS) for water chilling application taking R410a and water–LiBr as refrigerants in compression and absorption section respectively which can help the design engineers in manufacturing and experimenting on such kind of systems. The main limitation in the practical implementation of VCACRS is its size and cost which are optimized in the present work by implementing Direct Search Method in non-linear programming (NLP) mathematical model of VCACRS. The main objective of optimization is to minimize the total annual cost of system which comprises of costs of exergy input and Capital costs in monetary units. The appropriate set of decision variables (temperature of evaporator, condenser, generator, absorber, cascade condenser, degree of overlap and effectiveness of solution heat exchanger) minimizes the total annual cost of VCACRS by 11.9% with 22.4% reduction in investment cost at the base case whereas the same is reduced by 7.5% with 11.7% reduction in investment cost with reduced rate of interest and increased life span and period of operation. Optimization results show that the more investment cost in later case is well compensated through the performance and operational cost of the system. In the present analysis, optimum cascade condensing temperature is a strong function of period of operation and Capital Recovery Factor. The cascading of compression and absorption systems becomes attractive for lower rate of interest and increase life span and operational period.
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NLP model based thermoeconomic optimization of vapor compression–absorption cascaded refrigeration system
Energy Conversion and Management, 2015Co-Authors: Vaibhav Jain, Gulshan Sachdeva, Surendra Singh KachhwahaAbstract:Abstract This paper addresses the size and cost estimation of vapor compression–absorption cascaded refrigeration system (VCACRS) for water chilling application taking R410a and water–LiBr as refrigerants in compression and absorption section respectively which can help the design engineers in manufacturing and experimenting on such kind of systems. The main limitation in the practical implementation of VCACRS is its size and cost which are optimized in the present work by implementing Direct Search Method in non-linear programming (NLP) mathematical model of VCACRS. The main objective of optimization is to minimize the total annual cost of system which comprises of costs of exergy input and Capital costs in monetary units. The appropriate set of decision variables (temperature of evaporator, condenser, generator, absorber, cascade condenser, degree of overlap and effectiveness of solution heat exchanger) minimizes the total annual cost of VCACRS by 11.9% with 22.4% reduction in investment cost at the base case whereas the same is reduced by 7.5% with 11.7% reduction in investment cost with reduced rate of interest and increased life span and period of operation. Optimization results show that the more investment cost in later case is well compensated through the performance and operational cost of the system. In the present analysis, optimum cascade condensing temperature is a strong function of period of operation and Capital Recovery Factor. The cascading of compression and absorption systems becomes attractive for lower rate of interest and increase life span and operational period.
Vaibhav Jain - One of the best experts on this subject based on the ideXlab platform.
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nlp model based thermoeconomic optimization of vapor compression absorption cascaded refrigeration system
Energy Conversion and Management, 2015Co-Authors: Vaibhav Jain, Gulshan Sachdeva, Surendra Singh KachhwahaAbstract:Abstract This paper addresses the size and cost estimation of vapor compression–absorption cascaded refrigeration system (VCACRS) for water chilling application taking R410a and water–LiBr as refrigerants in compression and absorption section respectively which can help the design engineers in manufacturing and experimenting on such kind of systems. The main limitation in the practical implementation of VCACRS is its size and cost which are optimized in the present work by implementing Direct Search Method in non-linear programming (NLP) mathematical model of VCACRS. The main objective of optimization is to minimize the total annual cost of system which comprises of costs of exergy input and Capital costs in monetary units. The appropriate set of decision variables (temperature of evaporator, condenser, generator, absorber, cascade condenser, degree of overlap and effectiveness of solution heat exchanger) minimizes the total annual cost of VCACRS by 11.9% with 22.4% reduction in investment cost at the base case whereas the same is reduced by 7.5% with 11.7% reduction in investment cost with reduced rate of interest and increased life span and period of operation. Optimization results show that the more investment cost in later case is well compensated through the performance and operational cost of the system. In the present analysis, optimum cascade condensing temperature is a strong function of period of operation and Capital Recovery Factor. The cascading of compression and absorption systems becomes attractive for lower rate of interest and increase life span and operational period.
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NLP model based thermoeconomic optimization of vapor compression–absorption cascaded refrigeration system
Energy Conversion and Management, 2015Co-Authors: Vaibhav Jain, Gulshan Sachdeva, Surendra Singh KachhwahaAbstract:Abstract This paper addresses the size and cost estimation of vapor compression–absorption cascaded refrigeration system (VCACRS) for water chilling application taking R410a and water–LiBr as refrigerants in compression and absorption section respectively which can help the design engineers in manufacturing and experimenting on such kind of systems. The main limitation in the practical implementation of VCACRS is its size and cost which are optimized in the present work by implementing Direct Search Method in non-linear programming (NLP) mathematical model of VCACRS. The main objective of optimization is to minimize the total annual cost of system which comprises of costs of exergy input and Capital costs in monetary units. The appropriate set of decision variables (temperature of evaporator, condenser, generator, absorber, cascade condenser, degree of overlap and effectiveness of solution heat exchanger) minimizes the total annual cost of VCACRS by 11.9% with 22.4% reduction in investment cost at the base case whereas the same is reduced by 7.5% with 11.7% reduction in investment cost with reduced rate of interest and increased life span and period of operation. Optimization results show that the more investment cost in later case is well compensated through the performance and operational cost of the system. In the present analysis, optimum cascade condensing temperature is a strong function of period of operation and Capital Recovery Factor. The cascading of compression and absorption systems becomes attractive for lower rate of interest and increase life span and operational period.
Gulshan Sachdeva - One of the best experts on this subject based on the ideXlab platform.
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nlp model based thermoeconomic optimization of vapor compression absorption cascaded refrigeration system
Energy Conversion and Management, 2015Co-Authors: Vaibhav Jain, Gulshan Sachdeva, Surendra Singh KachhwahaAbstract:Abstract This paper addresses the size and cost estimation of vapor compression–absorption cascaded refrigeration system (VCACRS) for water chilling application taking R410a and water–LiBr as refrigerants in compression and absorption section respectively which can help the design engineers in manufacturing and experimenting on such kind of systems. The main limitation in the practical implementation of VCACRS is its size and cost which are optimized in the present work by implementing Direct Search Method in non-linear programming (NLP) mathematical model of VCACRS. The main objective of optimization is to minimize the total annual cost of system which comprises of costs of exergy input and Capital costs in monetary units. The appropriate set of decision variables (temperature of evaporator, condenser, generator, absorber, cascade condenser, degree of overlap and effectiveness of solution heat exchanger) minimizes the total annual cost of VCACRS by 11.9% with 22.4% reduction in investment cost at the base case whereas the same is reduced by 7.5% with 11.7% reduction in investment cost with reduced rate of interest and increased life span and period of operation. Optimization results show that the more investment cost in later case is well compensated through the performance and operational cost of the system. In the present analysis, optimum cascade condensing temperature is a strong function of period of operation and Capital Recovery Factor. The cascading of compression and absorption systems becomes attractive for lower rate of interest and increase life span and operational period.
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NLP model based thermoeconomic optimization of vapor compression–absorption cascaded refrigeration system
Energy Conversion and Management, 2015Co-Authors: Vaibhav Jain, Gulshan Sachdeva, Surendra Singh KachhwahaAbstract:Abstract This paper addresses the size and cost estimation of vapor compression–absorption cascaded refrigeration system (VCACRS) for water chilling application taking R410a and water–LiBr as refrigerants in compression and absorption section respectively which can help the design engineers in manufacturing and experimenting on such kind of systems. The main limitation in the practical implementation of VCACRS is its size and cost which are optimized in the present work by implementing Direct Search Method in non-linear programming (NLP) mathematical model of VCACRS. The main objective of optimization is to minimize the total annual cost of system which comprises of costs of exergy input and Capital costs in monetary units. The appropriate set of decision variables (temperature of evaporator, condenser, generator, absorber, cascade condenser, degree of overlap and effectiveness of solution heat exchanger) minimizes the total annual cost of VCACRS by 11.9% with 22.4% reduction in investment cost at the base case whereas the same is reduced by 7.5% with 11.7% reduction in investment cost with reduced rate of interest and increased life span and period of operation. Optimization results show that the more investment cost in later case is well compensated through the performance and operational cost of the system. In the present analysis, optimum cascade condensing temperature is a strong function of period of operation and Capital Recovery Factor. The cascading of compression and absorption systems becomes attractive for lower rate of interest and increase life span and operational period.
Edward S Rubin - One of the best experts on this subject based on the ideXlab platform.
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an engineering economic model of pipeline transport of co2 with application to carbon capture and storage
International Journal of Greenhouse Gas Control, 2008Co-Authors: Sean T Mccoy, Edward S RubinAbstract:Abstract Carbon dioxide capture and storage (CCS) involves the capture of CO 2 at a large industrial facility, such as a power plant, and its transport to a geological (or other) storage site where CO 2 is sequestered. Previous work has identified pipeline transport of liquid CO 2 as the most economical method of transport for large volumes of CO 2 . However, there is little published work on the economics of CO 2 pipeline transport. The objective of this paper is to estimate total cost and the cost per tonne of transporting varying amounts of CO 2 over a range of distances for different regions of the continental United States. An engineering-economic model of pipeline CO 2 transport is developed for this purpose. The model incorporates a probabilistic analysis capability that can be used to quantify the sensitivity of transport cost to variability and uncertainty in the model input parameters. The results of a case study show a pipeline cost of US$ 1.16 per tonne of CO 2 transported for a 100 km pipeline constructed in the Midwest handling 5 million tonnes of CO 2 per year (the approximate output of an 800 MW coal-fired power plant with carbon capture). For the same set of assumptions, the cost of transport is US$ 0.39 per tonne lower in the Central US and US$ 0.20 per tonne higher in the Northeast US. Costs are sensitive to the design capacity of the pipeline and the pipeline length. For example, decreasing the design capacity of the Midwest US pipeline to 2 million tonnes per year increases the cost to US$ 2.23 per tonne of CO 2 for a 100 km pipeline, and US$ 4.06 per tonne CO 2 for a 200 km pipeline. An illustrative probabilistic analysis assigns uncertainty distributions to the pipeline capacity Factor, pipeline inlet pressure, Capital Recovery Factor, annual O&M cost, and escalation Factors for Capital cost components. The result indicates a 90% probability that the cost per tonne of CO 2 is between US$ 1.03 and US$ 2.63 per tonne of CO 2 transported in the Midwest US. In this case, the transport cost is shown to be most sensitive to the pipeline capacity Factor and the Capital Recovery Factor. The analytical model elaborated in this paper can be used to estimate pipeline costs for a broad range of potential CCS projects. It can also be used in conjunction with models producing more detailed estimates for specific projects, which requires substantially more information on site-specific Factors affecting pipeline routing.
Rajesh N Patel - One of the best experts on this subject based on the ideXlab platform.
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Cost Analysis of Pump as Turbine for Pico Hydropower Plants – A Case Study☆
Procedia Engineering, 2013Co-Authors: K H Motwani, Sanjay V Jain, Rajesh N PatelAbstract:The energy scenario in rural, remote and hilly areas of India is characterized by inadequate, poor and unreliable supply of energy services. In such regions, the load density is low and extension of grid system is totally uneconomical, hence the small hydropower schemes can provide a solution for the energy problems besides solar photovoltaic, which is not available throughout the day. The main hindrance in implementing such hydropower schemes is high initial cost of conventional hydro turbines. The cost of these plants can be brought down by using centrifugal pump in turbine mode in context of various advantages associated with the pumps viz. low initial and maintenance cost, ready availability, simple construction etc. However, the efficiency of pump as turbine (PAT) is lower than that of conventional hydro turbines. For commercial justification of PAT technology, a cost analysis of 3 kW capacity pico hydropower plant was carried out by considering PAT and Francis turbine as a prime mover. The hydro turbine test rig was developed by installing PAT and its performance characteristics were plotted. The annual life cycle cost (ALCC) analysis was carried out based on initial cost of the project, Capital Recovery Factor and annual expenses. Based on the analysis, the ALCC and the cost of electricity generated per unit were found to be very less for PAT than that of Francis turbine, which has justified the use of PAT for the case under consideration.
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cost analysis of pump as turbine for pico hydropower plants a case study
Procedia Engineering, 2013Co-Authors: K H Motwani, Sanjay V Jain, Rajesh N PatelAbstract:The energy scenario in rural, remote and hilly areas of India is characterized by inadequate, poor and unreliable supply of energy services. In such regions, the load density is low and extension of grid system is totally uneconomical, hence the small hydropower schemes can provide a solution for the energy problems besides solar photovoltaic, which is not available throughout the day. The main hindrance in implementing such hydropower schemes is high initial cost of conventional hydro turbines. The cost of these plants can be brought down by using centrifugal pump in turbine mode in context of various advantages associated with the pumps viz. low initial and maintenance cost, ready availability, simple construction etc. However, the efficiency of pump as turbine (PAT) is lower than that of conventional hydro turbines. For commercial justification of PAT technology, a cost analysis of 3 kW capacity pico hydropower plant was carried out by considering PAT and Francis turbine as a prime mover. The hydro turbine test rig was developed by installing PAT and its performance characteristics were plotted. The annual life cycle cost (ALCC) analysis was carried out based on initial cost of the project, Capital Recovery Factor and annual expenses. Based on the analysis, the ALCC and the cost of electricity generated per unit were found to be very less for PAT than that of Francis turbine, which has justified the use of PAT for the case under consideration.
