- 标题
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- 实验方案
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Dynamic life cycle economic and environmental assessment of residential solar photovoltaic systems
摘要： With the increasing implementation of solar photovoltaic (PV) systems, comprehensive methods and tools are required to dynamically assess their economic and environmental costs and benefits under varied spatial and temporal contexts. This study integrated system dynamics modeling with life cycle assessment and life cycle cost assessment to evaluate the cumulative energy demand, carbon footprint, water footprint, and life cycle cost of residential grid-connected (GC) and standalone (SA) solar PV systems. The system dynamics model was specifically used for simulating the hourly solar energy generation, use, and storage during the use phase of the solar PVs. The modeling framework was then applied to a residential prototype house in Boston, MA to investigate various PV panel and battery sizing scenarios. When the SA design is under consideration, the maximum life cycle economic saving can be achieved with 20 panels with no battery in the prototype house, which increases the life cycle economic savings by 511.6% as compared to a baseline system sized based upon the engineering rule-of-thumb (40 panels and 40 batteries), yet decreases the demand met by 55.7%. However, the optimized environmental performance was achieved with significantly larger panel (up to 300 units) and battery (up to 320 units) sizes. These optimized configurations increase the life cycle environmental savings of the baseline system by up to 64.6%, but significantly decrease the life cycle economic saving by up to 6868.4%. There is a clear environmental and economic tradeoff when sizing the SA systems. When the GC system design is under consideration, both the economic and environmental benefits are the highest when no battery is installed, and the benefits increase with the increase of panel size. However, when policy constraints such as limitations/caps of grid sell are in place, tradeoffs would present as whether or not to install batteries for excess energy storage.
关键词： Grid-connected and standalone PV systems,Life cycle costing,System dynamics modeling,Battery storage,Solar photovoltaic systems,Life cycle assessment
更新于2025-09-23 15:21:01
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[IEEE 2018 4th International Conference on Computational Intelligence & Communication Technology (CICT) - Ghaziabad (2018.2.9-2018.2.10)] 2018 4th International Conference on Computational Intelligence & Communication Technology (CICT) - Development of a Decision-Based Neural Network for a Day-Ahead Prediction of Solar PV Plant Power Output
摘要： Day-ahead photovoltaic power prediction is vital for policy making and providing necessary backup capacities. Previous researchers include the implementation of time series, auto-regression and Soft computing techniques like Artificial Neural Networks and Fuzzy Logic. Artificial Neural Networks provides a better fit to complex, non-linear and error-prone data. The paper shows a comparative study of a Radial Basis Neural Network Schema (exact fit), a ‘k-means’ Radial Neural Network, and a Feed Forward Neural Network with Levenberg-Marquardt error backpropagation designed for the prediction of power output at an hourly resolution. The ability of the Neural Network to be trained to adapt to a previous set of data and then interpolate or extrapolate to the new data set has been exploited. The proposed model uses five meteorological variables and uses recorded data collected from the SN Mohanty PV Power Plant. Training of neural network is done on a monthly basis so that normalization constants of variables can be lower and better mapping can be produced. An improved decision-based schematic using Neural Networks is proposed which combines the advantages of both Radial Basis Function (exact fit) and FFNN.
关键词： solar photovoltaic power plant,Radial Basis,Artificial Neural Network,Decision-based,ANN
更新于2025-09-23 15:21:01
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[IEEE 2017 International Conference on Current Trends in Computer, Electrical, Electronics and Communication (CTCEEC) - Mysore (2017.9.8-2017.9.9)] 2017 International Conference on Current Trends in Computer, Electrical, Electronics and Communication (CTCEEC) - Development, Testing and Performance Analysis of SPV Powered 0.5HP AC Water Pumping System
摘要： This paper presents the implementation and testing of SPV powered 0.5HP AC water pumping system. DC pumps are widely used in SPV based systems. However, the cost employed for DC pumps is much larger in comparison to conventional AC pumps. In the proposed system inverter is designed for 400 W SPV panel connected to 0.5HP pump. The experimental setup is in Energy Park, Basaveshwar Engineering College built (Autonomous), Bagalkot, India. Further, performance analysis of the SPV water pump under varying conditions of solar radiation is carried out. Solar radiation, SPV output, Inverter output, Inverter efficiency, Flowrate from pump, Hydraulic power output and Pump efficiency are experimentally obtained and tabulated. Performance results revealed that, proposed model delivers 45-50 liters of water per minute from the depth of 3m water tank. Maximum efficiency of inverter and entire unit is obtained at highest solar radiation of 1195W/m2. The results indicate the efficient working of the implemented system for at least 4 hrs, between 11:00am to 3:00pm of a day. The proposed the cost and decreases dependency on conventional energy sources, while satisfying the water requirement in small scale agriculture and gardening.
关键词： Inverter,Radiation,Solar photovoltaic system,Hydraulic Head,Centrifugal pump
更新于2025-09-23 15:21:01
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Concentrated photovoltaic and thermal system application for fresh water production
摘要： This study was conducted to investigate the performance of Concentrated Photovoltaic/Thermal system (CPV/T) coupled with direct contact membrane distillation (DCMD) for saline water desalination. A numerical heat and mass flux model was constructed to investigate the feasibility of freshwater production. The average electrical efficiency was found to be about 18%, while thermal efficiency increased to an average of 25% and the total efficiency reached an average of 71%. The CPV/T efficiency with the cooling loop reached 19.26% at the peak time of the process. Eventually, the DCMD produced 3 kg/m2/h of fresh water and consumed thermal energy of about 9200 kJ/kg water. Moreover, the water mass flux decreased from 3 L/m2/h to 1.8 L/m2/h in a nonlinear manner. When the gain output ratio (GOR) of the system reaches 2.6 efficiency value or greater, the water outlet temperature from the CPV/T can increase along with the water permeate flux produced by the coupled system. In contrast, if the temperature of the outlet water from the CPV/T system is low, the feed water temperature in the heat exchanger also decreases. As a result, a significant decrease is observed in the feed inlet temperature of the DCMD module.
关键词： Membrane distillation,Solar desalination,Concentrated flat plate solar photovoltaic–thermal,Solar energy,Water desalination
更新于2025-09-23 15:19:57
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A Novel Method for Optimizing Power Efficiency of a Solar Photovoltaic Device
摘要： Most recently, photovoltaic energy has made an incredible technological advancement for the forthcoming decades towards mitigating the ever-increasing energy demand worldwide through generating electric power. Present paper proposes a novel solar photovoltaic (SPV) device model that achieves optimal power efficiency from simulation and graphical performance analysis of SPV device characteristics. First of all, power as well as current performances is compared for varying irradiance and temperatures circumstances. Then, output current characteristics of the SPV device for the proposed as well as existing model with variable temperatures is plotted. Later, power versus voltage performances of a SPV device for the proposed model with varying irradiance and temperature criterions is compared. Finally, power–voltage characteristics are plotted graphically for the existing as well as proposed SPV device model that achieves significant amount of output power for the proposed model than the existing model and optimal power efficiency is obtained for the novel SPV device model.
关键词： Power–voltage,Irradiance,Solar photovoltaic (SPV),Optimal power efficiency (OPE),Photovoltaic (PV)
更新于2025-09-23 15:19:57
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[IEEE 2020 5th International Conference on Devices, Circuits and Systems (ICDCS) - Coimbatore, India (2020.3.5-2020.3.6)] 2020 5th International Conference on Devices, Circuits and Systems (ICDCS) - Recent Research Trends in Solar Photovoltaic Systems
摘要： In recent years, conventional energy sources are depleting and getting exhausted. In replacement of this, solar Photovoltaic (PV) systems are used because of its free availability, renewability and less operating cost. But the constraints such as low ef?ciency, dependability on weather conditions are overcome by using maximum power point tracking(MPPT) algorithms and ef?cient converters to produce the maximum power output. MATLAB/Simulink is used to model and analyze PV array, MPPT algorithms, and converters. In this paper, recent research developments in PV array, various MPPT techniques, many ef?cient Converters are presented. This paper will give an overall idea about the present research trends in the ?eld of Solar Photovoltaic systems.
关键词： Solar Photovoltaic Systems,Converters,Solar PV array,PID controllers,MPPT
更新于2025-09-23 15:19:57
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Bench marking of grid tied solar roof top photovoltaic system: a case comparison
摘要： Indian power sector having the target of 175GW of power from renewable energy, out of that 40 GW from Rooftop solar Photovoltaic system by 2022. The installed capacity of solar photovoltaic until 2017 is about 14.77 GW only. Even though in depth study has been carried out on the performance analysis, there is no bench marking has been arrived for the Indian Roof Top Solar PV system. Hence this paper has made an attempt by calculating the various parameters like performance ratio, plant capacity utilization ratio for the two 20KWp grid connected rooftop power plant in Telangana state. In addition to the above, it needs to do in depth analysis of power quality issues on roof top grid tied system.
关键词： Solar Photovoltaic Rooftop,Grid Connected,Performance Ratio,Capacity Utilization Factor
更新于2025-09-23 15:19:57
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Performance of Solar Photovoltaic panel using Forced convection of water-based CuO nanofluid: An Understanding
摘要： Most of the conventional Solar Photovoltaic module consists of a Silicon cell that converts sunlight into electric energy. The process of conversion into electricity is exothermic and all photons are not able to produce electricity due to insufficient energy. Depending upon efficiency to convert it into electricity only the small amount of radiations are used and rest all are involved in increasing the temperature of the module. Study shows that 80% of incident solar radiation are absorbed by a solar photovoltaic cell. This increases the temperature of the module, reduces its electrical efficiency. This increase in temperature affects the power output and lifespan of the PV module. So to maintain the temperature of the module various cooling methods such as air cooling, hydraulic cooling, heat pipe cooling, cooling with phase change materials and cooling with nanofluids have been reported in the literature. The use of suitable nanofluids is one of the effective methods to increase thermal capacitance and control the temperature rise of the PV module. To increase the performance of the system thermal properties of working fluid must be improved which is achieved by using suitable additives with the base fluid which are referred to as nanofluids. Using Copper oxide/water as a working fluid analysis was performed. It was concluded that performance can be improved significantly if we integrate the system with a good heat exchanger. In this paper, the effect of CuO based nanofluids as a cooling medium for a PV module has been reported.
关键词： Solar photovoltaic,Thermal efficiency,cut off voltage,Electrical efficiency
更新于2025-09-23 15:19:57
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Improved Coyote Optimization Algorithm for Optimally Installing Solar Photovoltaic Distribution Generation Units in Radial Distribution Power Systems
摘要： This paper proposes an improved coyote optimization algorithm (ICOA) for optimizing the location and sizing of solar photovoltaic distribution generation units (PVDGUs) in radial distribution systems. In the considered problem, four single objectives consisting of total power losses, capacity of all PVDGUs, voltage profile index, and harmonic distortions are minimized independently while satisfying branch current limits, voltage limits, and harmonic distortion limits exactly and simultaneously. The performance of the proposed ICOA method has been improved significantly since two improvements were carried out on the two new solution generations of the conventional coyote optimization algorithm (COA). By finding four single objectives from two IEEE distribution power systems with 33 buses and 69 buses, the impact of each proposed improvement and two proposed improvements on the real performance of ICOA has been investigated. ICOA was superior to COA in terms of capability of finding higher quality solutions, more stable search ability, and faster convergence speed. Furthermore, we have also applied five other metaheuristic algorithms consisting of biogeography-based optimization (BBO), genetic algorithm (GA), particle swarm optimization algorithm (PSO), sunflower optimization (SFO), and salp swarm algorithm (SSA) for dealing with the same problem and evaluating further performance of ICOA. The result comparisons have also indicated the outstanding performance of ICOA because it could find much better results than these methods, especially SFO, SSA, and GA. Consequently, the proposed ICOA is a very effective method for finding the optimal location and capacity of PVDGUs in radial distribution power systems.
关键词： voltage profile,harmonic distortions,power losses,coyote optimization algorithm,solar photovoltaic distribution generation units,radial distribution systems
更新于2025-09-23 15:19:57
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Solar photovoltaic interventions have reduced rural poverty in China
摘要： Since 2013, China has implemented a large-scale initiative to systematically deploy solar photovoltaic (PV) projects to alleviate poverty in rural areas. To provide new understanding of China’s targeted poverty alleviation strategy, we use a panel dataset of 211 pilot counties that received targeted PV investments from 2013 to 2016, and ?nd that the PV poverty alleviation pilot policy increases per-capita disposable income in a county by approximately 7%-8%. The effect of PV investment is positive and signi?cant in the year of policy implementation and the effect is more than twice as high in the subsequent two to three years. The PV poverty alleviation effect is stronger in poorer regions, particularly in Eastern China. Our results are robust to alternative speci?cations and variable de?nitions. We propose several policy recommendations to sustain progress in China’s efforts to deploy PV for poverty alleviation.
关键词： China,income,poverty alleviation,solar photovoltaic,rural development
更新于2025-09-23 15:19:57