“…Therefore, any small improvement in any unit of the refrigeration cycle can enhance the overall performance of the liquefaction process. For example, Qyyum et al 36 improved the single mixed refrigerant process by exchanging the JT valves with a cryogenic hydraulic turbine. A similar concept can also be applied to the performance enhancement of the DMR process.…”
Dual‐mixed refrigerant (DMR) process is a promising candidate for liquefying the natural gas (LNG) at onshore as well as offshore sites, thanks to its higher liquefaction capacity and flexibility in using full gas turbines. DMR involves two mixed refrigerant cycles to perform precooling and subcooling of natural gas (NG), and these refrigerant compositions need constant tweaking to match the ever‐changing NG cooling curve, as it is obtained from different gas fields. Mismatching of cooling curves often results in suboptimal operation, which ultimately leads to an increase in the overall energy consumption. Thus, this study is aimed at making DMR liquefaction operation close to optimal using the invasive‐weed paradigm. At first, the decision variables for performance improvement were determined using degrees of freedom analysis then through invasive‐weed paradigm the best set of parameters that results in minimal overall energy consumption were obtained. For the given set of conditions, it was found that after optimization, the DMR process can produce LNG using 16.2% less compression power compared to the published optimized DMR process. Taking into account the higher sensitivity of the DMR process against NG feed conditions, the IWO approach was also examined to find the multiple optimal solutions corresponding to different sets of feed conditions. The thermodynamic evaluation revealed that the mixed refrigerant involves in NG subcooling and interstage coolers have the highest level of exergy destruction. After successful performance improvement of the DMR process, it is also found that still, 62% improvement potential (based on avoidable/unavoidable exergy destruction analysis) is available in the DMR process that can be attained through either sole optimization or optimal retrofitting/revamping.
“…Therefore, any small improvement in any unit of the refrigeration cycle can enhance the overall performance of the liquefaction process. For example, Qyyum et al 36 improved the single mixed refrigerant process by exchanging the JT valves with a cryogenic hydraulic turbine. A similar concept can also be applied to the performance enhancement of the DMR process.…”
Dual‐mixed refrigerant (DMR) process is a promising candidate for liquefying the natural gas (LNG) at onshore as well as offshore sites, thanks to its higher liquefaction capacity and flexibility in using full gas turbines. DMR involves two mixed refrigerant cycles to perform precooling and subcooling of natural gas (NG), and these refrigerant compositions need constant tweaking to match the ever‐changing NG cooling curve, as it is obtained from different gas fields. Mismatching of cooling curves often results in suboptimal operation, which ultimately leads to an increase in the overall energy consumption. Thus, this study is aimed at making DMR liquefaction operation close to optimal using the invasive‐weed paradigm. At first, the decision variables for performance improvement were determined using degrees of freedom analysis then through invasive‐weed paradigm the best set of parameters that results in minimal overall energy consumption were obtained. For the given set of conditions, it was found that after optimization, the DMR process can produce LNG using 16.2% less compression power compared to the published optimized DMR process. Taking into account the higher sensitivity of the DMR process against NG feed conditions, the IWO approach was also examined to find the multiple optimal solutions corresponding to different sets of feed conditions. The thermodynamic evaluation revealed that the mixed refrigerant involves in NG subcooling and interstage coolers have the highest level of exergy destruction. After successful performance improvement of the DMR process, it is also found that still, 62% improvement potential (based on avoidable/unavoidable exergy destruction analysis) is available in the DMR process that can be attained through either sole optimization or optimal retrofitting/revamping.
“…(2) The heat losses from the equipment to the ambient are neglected. (3) The adiabatic efficiency of the cryogenic liquid turbine, pump, and compressor is 90%, 75%, and 75% (Qyyum et al, 2018), respectively. (4) The pressure drop of the warm stream and cold stream in the main cryogenic heat exchanger is 100 kPa (Haider et al, 2020).…”
Section: Process Design Optimization and Analysis Biomethane Liquefaction: Process Design And Simulationmentioning
confidence: 99%
“…The results indicated that the specific energy consumption and a total investment of MSMR were 33.49% and 26.88% lower than PNEC, respectively. The SMR could be enhanced by adopting a liquid hydraulic turbine to replace the throttling valve to achieve higher thermodynamic efficiency (Qyyum et al, 2018).…”
Biomethane is regarded as a promising renewable energy source, with great potential to satisfy the growth of energy demands and to reduce greenhouse gas emissions. Liquefaction is a suitable approach for long distances and overseas transportation of biomethane; however, it is energy-intensive due to its cryogenic working condition. The major challenge is to design a high-energy efficiency liquefaction process with simple operation and configuration. A single mixed refrigerant biomethane liquefaction process adopting the cryogenic liquid turbine for small-scale production has been proposed in this study to address this issue. The optimal design corresponding to minimal energy consumption was obtained through the black-hole-based optimization algorithm. The effect of the minimum internal temperature approach (MITA) in the main cryogenic heat exchanger on the biomethane liquefaction process performance was investigated. The study results indicated that the specific energy consumption of modified case 2 with MITA of 2°C was 0.3228 kWh/kg with 21.01% reduction compared to the published base case. When the MITA decreased to 1°C, the specific power of modified case 1 reduced to 0.3162 kWh/kg, which was 24.96% lower than the base case. In terms of exergy analysis, the total exergy destruction of the modified cases 1, 2, and 3 was 31.28%, 22.27%, and 17.51% lower than the base case, respectively. This study’s findings suggested that introducing the cryogenic liquid turbine to the single mixed refrigerant-based biomethane liquefaction process could reduce the specific energy consumption and total exergy destruction significantly. Therefore, this study could provide a viable path for designing and improving the small-scale biomethane liquefaction process.
“…Since these two types of home appliances are known to be the most energy‐consuming devices due to their continuous operating, 1 even a small improvement in efficiency will result in considerable energy savings 2 . Accordingly, extensive studies have been conducted to enhance the efficiency of refrigerators and freezers 3‐5 …”
Summary
This study conducted to evaluate the effect that melting temperature and the amount of phase change materials (PCMs) has on energy consumption and temperature behavior of a household freezer. Two eutectic PCMs, serving as cold storage elements, were innovatively configured in a cascade‐like arrangement on six trays of a freezer with respect to the air temperature distribution of the interior compartment in order to reduce temperature fluctuations inside the freezer and to lower energy consumption. The experimental results showed that the maximum reduction in energy consumption (13.42%) occurred by placing three PCM packs of 1.5 kg with a melting temperature of −18°C on the three upper trays of the freezer and three PCM packs of 1.5 kg with a melting temperature of −20°C on three trays located on the lower side of the freezer. The optimal values were 1.97 kg of PCM with a melting temperature of −18°C and 1.57 kg of PCM with a melting temperature of −20°C to achieve the highest reduction rates of energy consumption and temperature fluctuations.
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