This research focuses on developing innovative hybrid solar dryers that combine solar Photovoltaic(PV)and solar thermal systems for sustainable food preservation in Pakistan,addressing the country’s pressing issues o...This research focuses on developing innovative hybrid solar dryers that combine solar Photovoltaic(PV)and solar thermal systems for sustainable food preservation in Pakistan,addressing the country’s pressing issues of high post-harvest losses and unreliable energy sources.The proposed active hybrid solar dryer features a drying cabinet,two Direct Current(DC)fans for forced convection,and a resistive heating element powered by a 180 W solar PV panel.An energy-storing battery ensures continuous supply to the auxiliaries during periods of low solar irradiance,poor weather conditions,or nighttime.Tomatoes,a delicate and in-demand crop,were selected for experimentation due to their high perishability.Three experiments were conducted on the same prototype:natural convection direct solar dryer(NCDSD),forced convection direct solar dryer(FCDSD),and forced convection hybrid solar dryer(FCHSD).Each experiment began with 0.2 kg of tomatoes at 94%moisture content,achieving significant reductions:28.57%with NCDSD,16.667%with FCDSD,and 16.667%with FCHSD.The observed drying rates varied:1.161 kg/h for NCDSD,2.062 kg/h for FCDSD,and 2.8642 kg/h for FCHSD.This study presents a comparative analysis of efficiency,drying rate,and cost-effectiveness,alongside the system’s economic and environmental feasibility.展开更多
Climate change,rising fuel prices,and fuel security are some challenges that have emerged and have grown worldwide.Therefore,to overcome these obstacles,highly efficient thermodynamic devices and heat recovery systems...Climate change,rising fuel prices,and fuel security are some challenges that have emerged and have grown worldwide.Therefore,to overcome these obstacles,highly efficient thermodynamic devices and heat recovery systems must be introduced.According to reports,much industrial waste heat is lost as flue gas from boilers,heating plants,etc.The primary objective of this study is to investigate and compare unary(Al_(2)O_(3))thermodynamically,binary with three different combinations of nanoparticles namely(Al_(2)O_(3)+TiO_(2),TiO_(2)+ZnO,Al_(2)O_(3)+ZnO)and ternary(Al_(2)O_(3)+TiO_(2)+ZnO)as a heat transfer fluid.Initially,three different types of binary nanofluids were prepared by dispersing two types of nanoparticles in individual trails,such as aluminum oxide,zinc oxide,and titanium dioxide in various combined concentrations(e.g.,2%,4%,and 6%)into the water as the base fluid,using an ultrasonicator to ensure uniform suspension.The operating parameters such as nanoparticle concentration and flow rate are varied to evaluate the performance of various hybrid nanofluids under counterflow configuration.The findings of this research indicate that the binary nanofluid Al_(2)O_(3)+ZnO exhibits the highest thermal performance factor(2.83),followed by the ternary nanofluid Al_(2)O_(3)+TiO_(2)+ZnO(0.828),with the lowest performance observed for the unary nanofluid Al_(2)O_(3)(0.799).This research highlights the need for advancement into novel nanomaterial combinations,optimization of required fluid properties,stability enhancement,and thermal performance to strengthen the utilization of hybrid nanofluids in heat exchangers.展开更多
The selection of working fluid significantly impacts the geothermal ORC’s Efficiency.Using a mixture as a working fluid is a strategy to improve the output of geothermal ORC.In the current study,modelling and thermod...The selection of working fluid significantly impacts the geothermal ORC’s Efficiency.Using a mixture as a working fluid is a strategy to improve the output of geothermal ORC.In the current study,modelling and thermodynamic analysis of ORC,using geothermal as a heat source,is carried out at fixed operating conditions.The model is simulated in the Engineering Equation Solver(EES).An environment-friendly mixture of fluids,i.e.,R245fa/R600a,with a suitable mole fraction,is used as the operating fluid.The mixture provided the most convenient results compared to the pure working fluid under fixed operating conditions.The impact of varying the evaporator pressure on the performance parameters,including energy efficiency,exergy efficiency and net power output is investigated.The system provided the optimal performance once the evaporator pressure reached the maximum value.The efficiencies:Energy and Exergy,and Net Power output of the system are 16.62%,64.08%and 2199 kW for the basic cycle and 20.72%,67.76%and 2326 kW respectively for the regenerative cycle.展开更多
Electric vehicles (EVs) are the most interesting and innovative technology in the 21st century because of theirenormous advantages, both technically and economically. Their emissions rate compared to fuel-based vehicl...Electric vehicles (EVs) are the most interesting and innovative technology in the 21st century because of theirenormous advantages, both technically and economically. Their emissions rate compared to fuel-based vehicles isnegligible as they do not consume fuel and hence do not emit any harmful gases. However, their bulk production,adoption and lack of charging stations increase the stress of power stations due to modern-day lifestyles. If Electricvehicles demand increases drastically then conventional power stations will not bear their demand and if theygenerate electricity by conventional means it will be very costly and may further add greenhouse gases. Therefore,this research provides the techno-economic assessment of a stand-alone renewable-dependent electric vehiclecharging station, excluding any burden on electrical utility. The proposed study is carried out in Bahria Town,Karachi, a city in Pakistan. In this study, HOMER Pro software was utilized for techno-economic assessment. Ahybrid system comprising solar Photovoltaic/Wind Turbine/Fuel cells and battery storage is included in the model.Solar and wind resources were taken from NASA’s website, where charging stations will be integrated. The overallresults show promising in terms of total Net Present Cost and the Cost of Energy which are 2.72M $ and 0.237 $,respectively. The total system generation is 3,598 Megawatt hours per year, and the total energy consumption is 885Megawatt hours per year.展开更多
To meet the escalating electricity demand and rising fuel costs,along with notable losses in power transmission,exploring alternative solutions is imperative.Gas turbines demonstrate high efficiency under ideal Intern...To meet the escalating electricity demand and rising fuel costs,along with notable losses in power transmission,exploring alternative solutions is imperative.Gas turbines demonstrate high efficiency under ideal International Organization for Standardization(ISO)conditions but face challenges during summer when ambient temperatures reach 40℃.To enhance performance,the proposal suggests cooling inlet air by 15℃using a vapor absorption chiller(VAC),utilizing residual exhaust gases from a combined cycle power plant(CCPP)to maximize power output.Additionally,diverting a portion of exhaust gases to drive an organic Rankine cycle(ORC)for supplementary power generation offers added efficiency.This integrated approach not only boosts power output but alsominimizes environmental impact by repurposing exhaust gases for additional operations.This study presents a detailed energy and economic analysis of a modified combine cycle power plant,in Kotri,Pakistan.R600A is used as organic fuel for the ORC while LiBr-H2O solution is used for the VAC.Two performance parameters,efficiency and energy utilization factor,Four energetic parameters,Work output of ORC,modified CCPP,original CCPP and cooling rate,and one economics parameter,payback period were examined under varying ambient conditions and mass fraction of exhaust gases from outlet of a gas turbine(ψ).A parametric investigation was conducted within the temperature range of 18℃to 50℃,relative humidity between 70%and 90%,and theψranging from 0 to 0.3.The findings reveal that under elevated ambient conditions(40℃,90%humidity)withψat 0,the Energy Utilization Factor(EUF)exceeds 60%.However,the ORC exhibits a low work output of 100KWalongside a high cooling load of 29,000 kW.Conversely,the modified system demonstrates an augmented work output of approximately 81,850 KWcompared to the original system’s 78,500KW.Furthermore,the integration of this systemproves advantageous across all metrics.Additionally,the payback period of the system is contingent on ambient conditions,with lower conditions correlating to shorter payback periods and vice versa.展开更多
Generation of power through renewable energy resources is variable in nature due to their intermittence and the generation cost from these resources is also high for developing countries.Supportive policies and scheme...Generation of power through renewable energy resources is variable in nature due to their intermittence and the generation cost from these resources is also high for developing countries.Supportive policies and schemes like feed-in tariff and net metering are not so much attractive for consumers due to their insufficient rates and unfavorable institutional design.The shortcomings in these schemes can be avoided through self-consumption technique for roof top solar photovoltaic system,as this technique results in cheaper generation of electricity as compared to that of utility or grid.Therefore,prosumers are more attractive to use most of electrical power at cheapest price.In this paper,the cost and feasibility for the on-grid industrial solar photovoltaic system was analyzed.It is found from the results that store on-grid based photovoltaic system will be 0.0086$/(kW∙h)and utility will sell energy to the prosumers at rate of 0.062$/(kW·h),which will result in 35.23%reduction in annual cost of energy as compared to time of use rating model.Furthermore,96%of annual energy demand can be achieved by the proposed scheme,which guarantees the security of supply and the proposed model can be adopted for developing countries.展开更多
Solar photovoltaic energy generation due to its high potential is being adopted as one of the main power sources by many countries to mitigate their climate and electrical power issues.Hence accurate forecasting becom...Solar photovoltaic energy generation due to its high potential is being adopted as one of the main power sources by many countries to mitigate their climate and electrical power issues.Hence accurate forecasting becomes important to make grid operations smoother,and for this purpose,modern-day artificial intelligence technologies can make a significant contribution.This study is an endeavor to target accurate forecasting for different weather conditions by using a simple recurrent neural network,long-short-term memory and gated recurrent unit-based hybrid model,and bidirectional gated recurrent unit.The experimental dataset has been acquired from Quaid-e-Azam Solar Park,Bahawalpur,Pakistan.This study observed that the bidirectional gated recurrent unit outperforms the hybrid model,whereas the simple recurrent neural network lags most in accuracy.The results confirm that the bidirectional gated recurrent unit technique can perform accurately in all critical weather types.Whereas the values of root-mean-square error,mean absolute error,and R-squared values also ensure the precision of the model for all weather conditions,and the best of these parameters for bidirectional gated recurrent unit observed are 0.0012,0.212,and 0.99,respectively,for the overcast dataset.展开更多
基金supported by the Ignite National Technology fund,under National Grassroots Initiatives Program of ICT R&D(NIGRI),Project ID.NGIRI-2024-23901 of 2024.
文摘This research focuses on developing innovative hybrid solar dryers that combine solar Photovoltaic(PV)and solar thermal systems for sustainable food preservation in Pakistan,addressing the country’s pressing issues of high post-harvest losses and unreliable energy sources.The proposed active hybrid solar dryer features a drying cabinet,two Direct Current(DC)fans for forced convection,and a resistive heating element powered by a 180 W solar PV panel.An energy-storing battery ensures continuous supply to the auxiliaries during periods of low solar irradiance,poor weather conditions,or nighttime.Tomatoes,a delicate and in-demand crop,were selected for experimentation due to their high perishability.Three experiments were conducted on the same prototype:natural convection direct solar dryer(NCDSD),forced convection direct solar dryer(FCDSD),and forced convection hybrid solar dryer(FCHSD).Each experiment began with 0.2 kg of tomatoes at 94%moisture content,achieving significant reductions:28.57%with NCDSD,16.667%with FCDSD,and 16.667%with FCHSD.The observed drying rates varied:1.161 kg/h for NCDSD,2.062 kg/h for FCDSD,and 2.8642 kg/h for FCHSD.This study presents a comparative analysis of efficiency,drying rate,and cost-effectiveness,alongside the system’s economic and environmental feasibility.
文摘Climate change,rising fuel prices,and fuel security are some challenges that have emerged and have grown worldwide.Therefore,to overcome these obstacles,highly efficient thermodynamic devices and heat recovery systems must be introduced.According to reports,much industrial waste heat is lost as flue gas from boilers,heating plants,etc.The primary objective of this study is to investigate and compare unary(Al_(2)O_(3))thermodynamically,binary with three different combinations of nanoparticles namely(Al_(2)O_(3)+TiO_(2),TiO_(2)+ZnO,Al_(2)O_(3)+ZnO)and ternary(Al_(2)O_(3)+TiO_(2)+ZnO)as a heat transfer fluid.Initially,three different types of binary nanofluids were prepared by dispersing two types of nanoparticles in individual trails,such as aluminum oxide,zinc oxide,and titanium dioxide in various combined concentrations(e.g.,2%,4%,and 6%)into the water as the base fluid,using an ultrasonicator to ensure uniform suspension.The operating parameters such as nanoparticle concentration and flow rate are varied to evaluate the performance of various hybrid nanofluids under counterflow configuration.The findings of this research indicate that the binary nanofluid Al_(2)O_(3)+ZnO exhibits the highest thermal performance factor(2.83),followed by the ternary nanofluid Al_(2)O_(3)+TiO_(2)+ZnO(0.828),with the lowest performance observed for the unary nanofluid Al_(2)O_(3)(0.799).This research highlights the need for advancement into novel nanomaterial combinations,optimization of required fluid properties,stability enhancement,and thermal performance to strengthen the utilization of hybrid nanofluids in heat exchangers.
文摘The selection of working fluid significantly impacts the geothermal ORC’s Efficiency.Using a mixture as a working fluid is a strategy to improve the output of geothermal ORC.In the current study,modelling and thermodynamic analysis of ORC,using geothermal as a heat source,is carried out at fixed operating conditions.The model is simulated in the Engineering Equation Solver(EES).An environment-friendly mixture of fluids,i.e.,R245fa/R600a,with a suitable mole fraction,is used as the operating fluid.The mixture provided the most convenient results compared to the pure working fluid under fixed operating conditions.The impact of varying the evaporator pressure on the performance parameters,including energy efficiency,exergy efficiency and net power output is investigated.The system provided the optimal performance once the evaporator pressure reached the maximum value.The efficiencies:Energy and Exergy,and Net Power output of the system are 16.62%,64.08%and 2199 kW for the basic cycle and 20.72%,67.76%and 2326 kW respectively for the regenerative cycle.
文摘Electric vehicles (EVs) are the most interesting and innovative technology in the 21st century because of theirenormous advantages, both technically and economically. Their emissions rate compared to fuel-based vehicles isnegligible as they do not consume fuel and hence do not emit any harmful gases. However, their bulk production,adoption and lack of charging stations increase the stress of power stations due to modern-day lifestyles. If Electricvehicles demand increases drastically then conventional power stations will not bear their demand and if theygenerate electricity by conventional means it will be very costly and may further add greenhouse gases. Therefore,this research provides the techno-economic assessment of a stand-alone renewable-dependent electric vehiclecharging station, excluding any burden on electrical utility. The proposed study is carried out in Bahria Town,Karachi, a city in Pakistan. In this study, HOMER Pro software was utilized for techno-economic assessment. Ahybrid system comprising solar Photovoltaic/Wind Turbine/Fuel cells and battery storage is included in the model.Solar and wind resources were taken from NASA’s website, where charging stations will be integrated. The overallresults show promising in terms of total Net Present Cost and the Cost of Energy which are 2.72M $ and 0.237 $,respectively. The total system generation is 3,598 Megawatt hours per year, and the total energy consumption is 885Megawatt hours per year.
文摘To meet the escalating electricity demand and rising fuel costs,along with notable losses in power transmission,exploring alternative solutions is imperative.Gas turbines demonstrate high efficiency under ideal International Organization for Standardization(ISO)conditions but face challenges during summer when ambient temperatures reach 40℃.To enhance performance,the proposal suggests cooling inlet air by 15℃using a vapor absorption chiller(VAC),utilizing residual exhaust gases from a combined cycle power plant(CCPP)to maximize power output.Additionally,diverting a portion of exhaust gases to drive an organic Rankine cycle(ORC)for supplementary power generation offers added efficiency.This integrated approach not only boosts power output but alsominimizes environmental impact by repurposing exhaust gases for additional operations.This study presents a detailed energy and economic analysis of a modified combine cycle power plant,in Kotri,Pakistan.R600A is used as organic fuel for the ORC while LiBr-H2O solution is used for the VAC.Two performance parameters,efficiency and energy utilization factor,Four energetic parameters,Work output of ORC,modified CCPP,original CCPP and cooling rate,and one economics parameter,payback period were examined under varying ambient conditions and mass fraction of exhaust gases from outlet of a gas turbine(ψ).A parametric investigation was conducted within the temperature range of 18℃to 50℃,relative humidity between 70%and 90%,and theψranging from 0 to 0.3.The findings reveal that under elevated ambient conditions(40℃,90%humidity)withψat 0,the Energy Utilization Factor(EUF)exceeds 60%.However,the ORC exhibits a low work output of 100KWalongside a high cooling load of 29,000 kW.Conversely,the modified system demonstrates an augmented work output of approximately 81,850 KWcompared to the original system’s 78,500KW.Furthermore,the integration of this systemproves advantageous across all metrics.Additionally,the payback period of the system is contingent on ambient conditions,with lower conditions correlating to shorter payback periods and vice versa.
文摘Generation of power through renewable energy resources is variable in nature due to their intermittence and the generation cost from these resources is also high for developing countries.Supportive policies and schemes like feed-in tariff and net metering are not so much attractive for consumers due to their insufficient rates and unfavorable institutional design.The shortcomings in these schemes can be avoided through self-consumption technique for roof top solar photovoltaic system,as this technique results in cheaper generation of electricity as compared to that of utility or grid.Therefore,prosumers are more attractive to use most of electrical power at cheapest price.In this paper,the cost and feasibility for the on-grid industrial solar photovoltaic system was analyzed.It is found from the results that store on-grid based photovoltaic system will be 0.0086$/(kW∙h)and utility will sell energy to the prosumers at rate of 0.062$/(kW·h),which will result in 35.23%reduction in annual cost of energy as compared to time of use rating model.Furthermore,96%of annual energy demand can be achieved by the proposed scheme,which guarantees the security of supply and the proposed model can be adopted for developing countries.
文摘Solar photovoltaic energy generation due to its high potential is being adopted as one of the main power sources by many countries to mitigate their climate and electrical power issues.Hence accurate forecasting becomes important to make grid operations smoother,and for this purpose,modern-day artificial intelligence technologies can make a significant contribution.This study is an endeavor to target accurate forecasting for different weather conditions by using a simple recurrent neural network,long-short-term memory and gated recurrent unit-based hybrid model,and bidirectional gated recurrent unit.The experimental dataset has been acquired from Quaid-e-Azam Solar Park,Bahawalpur,Pakistan.This study observed that the bidirectional gated recurrent unit outperforms the hybrid model,whereas the simple recurrent neural network lags most in accuracy.The results confirm that the bidirectional gated recurrent unit technique can perform accurately in all critical weather types.Whereas the values of root-mean-square error,mean absolute error,and R-squared values also ensure the precision of the model for all weather conditions,and the best of these parameters for bidirectional gated recurrent unit observed are 0.0012,0.212,and 0.99,respectively,for the overcast dataset.
