Experimental Analysis of a Novel Solar Pond Driven Thermoelectric Energy System

2020 ◽  
Vol 142 (12) ◽  
Author(s):  
Rohtash Goswami ◽  
Ranjan Das
Keyword(s):  
Power Generation ◽  
Solar Radiation ◽  
Lower Layer ◽  
Energy System ◽  
Biomass Energy ◽  
Maximum Temperature ◽  
Two Phase ◽  
Solar Pond ◽  
Solar Radiation Intensity ◽  
Temperature Potential

Abstract This paper describes an experimental study on a combined assembly of a solar pond and two-phase thermosyphon toward thermoelectric power generation under actual weather conditions and proposes its mandatory association with the biomass energy-based system. Experiments under the studied solar radiation intensity ranging between 26 W/m2 and 976 W/m2 reveal that the maximum steady-state temperature potential during the actual operation of a solar pond is not sufficient to generate the minimum threshold thermoelectric voltage for deriving necessary power needed to recharge a 12 V battery. It is also highlighted that solar radiation heats both the upper and the lower layers nearly equally; however, the heat is lost at a faster rate from the upper layer than the lower layer. Consequently, with the passage of time, the temperature of the lower layer rises, and interestingly, the probability of obtaining maximum voltage during a day is maximum during the early morning. Under the present set of conditions, the maximum temperature gain is 26.58 °C, whereas a minimum temperature potential of 45.62 °C is found necessary to produce the required voltage. The economic analysis of the proposed system reveals that the electricity generation obtained from the proposed system is better than diesel power generation. In particular, the system is suitable for locations where access to the conventional grid-based power is difficult. The work opens opportunities and establishes the necessity of developing low-cost thermoelectric materials for further improving the cost of power generation.

scholarly journals The effect of flight state parameters on the performance of photovoltaic modules in solar aircraft

2021 ◽  
Vol 45 (1) ◽  
pp. 73-83
Author(s):  
Saydul Morshed Tanvir ◽  
Xiao Wenbo ◽  
Jin Xin
Keyword(s):  
Power Generation ◽  
Solar Radiation ◽  
Flight Speed ◽  
Generation Model ◽  
Flight Altitude ◽  
Atmospheric Density ◽  
Photovoltaic Modules ◽  
Time Space ◽  
Solar Radiation Intensity ◽  
Long Time

Based on the power generation model of photovoltaic modules, the effects of flight speed, altitude, time and area in solar aircraft on the performance of photovoltaic modules have been studied. As the flight speed increases, the power generated by the module increases but tends to saturate. When the conversion efficiency of photovoltaic modules is improved, the required power of the solar aircraft and the power generated by the photovoltaic modules are balanced at a faster flight speed. The power generated by the modules increases with the flight altitude but tends to saturate due to the drop of air temperature and the surface temperature of the module. The higher the altitude, the smaller is the atmospheric density, and atmospheric permeability, and the greater is the solar radiation intensity, and thus the power generated by the module increases. The power generated by the components is the strongest at noon. Battery performance is the strongest in summer and the weakest in winter, as the module’s performance is mainly determined by the intensity of solar radiation. Finally, the energy distribution of solar aircraft and long-time space flight has been discussed. J. Bangladesh Acad. Sci. 45(1); 73-83: June 2021

Numerical Simulation of a Novel Solar-Powered Hybrid Energy System with Cooling and Heating

2011 ◽  
Vol 374-377 ◽  
pp. 470-474
Author(s):  
Hui Long Luo ◽  
Xiao Chen ◽  
Jin Hui Peng
Keyword(s):  
Solar Radiation ◽  
Energy System ◽  
Climatic Conditions ◽  
Coefficient Of Performance ◽  
Water Heater ◽  
Performance Simulation ◽  
Hybrid Energy System ◽  
Hybrid Energy ◽  
Solar Radiation Intensity ◽  
Solar Powered

A novel solar-powered hybrid energy system with cooling and heating is presented, which consists of an adsorption ice maker subsystem and water heater subsystem. It can be used as an ice maker and water heater hybrid system or a single water heater respectively according to incident solar radiation intensity. A numerical model is developed to predict the performances of the hybrid energy system. Performance simulation and analysis on the hybrid energy system have been made. Simulation results show that, under the climatic conditions of daily solar radiation being about 12-20MJ/m2, the hybrid energy system can be used as an ice maker and a water heater effectively, its daily solar cooling COP (coefficient of performance) is about 0.173 - 0.181, the daily heating coefficient of performance is about 0.294-0.327.

Understanding multidecadal variability for energy system studies: can current 20th century reanalyses do the job?

2020 ◽  
Author(s):  
Jan Wohland ◽  
Hannah Bloomfield ◽  
David Brayshaw ◽  
Stefan Pfenninger ◽  
Martin Wild
Keyword(s):  
Power Generation ◽  
Solar Radiation ◽  
Solar Energy ◽  
Wind Energy ◽  
20Th Century ◽  
Energy Production ◽  
Decadal Variability ◽  
Energy System ◽  
Multidecadal Variability ◽  
Climatic Information

<p>The variability of renewable power generation is often quantified based on modern reanalyses such as ERA5 or MERRA-2 which provide climatic information over the last few decades. Compared to infrastructure lifetimes, modern reanalyses cover only short periods and may consequently fail to sample relevant longer-term climate variability. While there is evidence for multi-decadal variability in wind power generation [Wohland et al. (2019), Zeng et al. (2019)], hydropower [Bonnet et al. (2017)] and solar energy [Sweerts et al. (2019)], a consistent treatment of multi-decadal variability has not been achieved. </p><p>This knowledge barrier can potentially be overcome using 20th century reanalyses which provide internally consistent fields of energy-relevant variables (e.g., solar radiation, precipitation, temperature and wind). However, the provision of reliable climatic information on these timescales is known to be a challenge due to, for example, the evolution of measurement techniques. Some cases of spurious trends and other shortcomings of the datasets are known. It is therefore of utmost importance to quantify uncertainties prior to usage in energy system studies. To this end, we systematically compare 20CRv3, 20CRv2c, CERA20C and ERA20C with respect to variables needed in renewable energy assessments and report similarities and discrepancies accross the datasets. The focus is given to substantial differences with respect to multi-decadal solar radiation variability in Europe, also known as dimming and brightening. </p><p><br>References</p><p>Bonnet, R., Boé, J., Dayon, G. & Martin, E. Twentieth-Century Hydrometeorological Reconstructions to Study the Multidecadal Variations of the Water Cycle Over France. Water Resour. Res. 53, 8366–8382 (2017).</p><p>Sweerts, B. et al. Estimation of losses in solar energy production from air pollution in China since 1960 using surface radiation data. Nat Energy 4, 657–663 (2019).</p><p>Wohland, J., Omrani, N. E., Keenlyside, N. & Witthaut, D. Significant multidecadal variability in German wind energy generation. Wind Energ. Sci. 4, 515–526 (2019).</p><p>Zeng, Z. et al. A reversal in global terrestrial stilling and its implications for wind energy production. Nat. Clim. Chang. (2019).</p>

F113 Development of Urban Biomass Energy System : Advancement of the waste power generation

2012 ◽  
Vol 2012.17 (0) ◽  
pp. 189-190
Author(s):  
Nobuya NISHIMURA ◽  
Atsushi NAKAMURA ◽  
Akira FUJIOKA ◽  
Hiroyuki IYOTA
Keyword(s):  
Power Generation ◽  
Energy System ◽  
Biomass Energy

scholarly journals Estimation of Global Solar Radiation in Mubi, Nigeria

2021 ◽  
Vol 2 (3) ◽  
Author(s):  
Ogbaka D.T ◽  
Bassi H ◽  
Lami D.S ◽  
Tahir M.A
Keyword(s):  
Solar Radiation ◽  
Global Radiation ◽  
Energy System ◽  
Global Solar Radiation ◽  
Solar Irradiation ◽  
Ann Model ◽  
Acceptable Error ◽  
Solar Radiation Intensity ◽  
Artificial Neural ◽  
Artificial Neural Network Ann

Application of solar energy system requires having knowledge about solar irradiation potential in different locations. This study therefore used artificial neural networks for predicting solar global radiation by using metrological data. There is no report about prediction of solar radiation potential for Mubi by using Artificial Neural Network (ANN) method. It is very encouraging to observe a very fine agreement between the measured and estimated values shown in study. The ANN Model is considered the best relation for estimating the global solar radiation intensity for Mubi region with an acceptable error. The MSE, RMSE, MBE, MABE and MAPE values are 0.930, 0.964, 0.3358 MJm−2day−1, 0.8175 MJm−2day−1 and 19.30%, respectively. The ANN models appear auspicious for estimating the Global Solar Radiation in the locations where there are no solar radiation measurement stations.

scholarly journals Hybrid Power Generation System Using Solar and Biomass Power Generation System

2019 ◽  
Vol 8 (2S11) ◽  
pp. 2133-2135
Keyword(s):  
Power Generation ◽  
Renewable Energy ◽  
Hybrid System ◽  
New Technology ◽  
Energy System ◽  
Biomass Energy ◽  
Technological Advancement ◽  
Generation System ◽  
Human Race ◽  
Power Generation System

The renewable energy is the future of human race without optimally harnessing renewable energy human race will not move forward. As the non-renewable source of energy are moving towards depletion each day, the technological advancement toward renewable energy is moving with a fast pace. Each day we heard about a new technology, in this paper a hybrid system energy system is discussed. The hybrid system is achieved by utilizing solar energy and biomass energy. The system using a set of solar panel, biomass gasifier, boiler, steam turbine, generator, inverter and battery.

scholarly journals Impact of Non-convective Zone and Lower Convective Zone Thickness on the Performance Characteristics of Salinity Gradient Solar Pond

2021 ◽  
Vol 1206 (1) ◽  
pp. 012003
Author(s):  
S G Chakrabarty ◽  
U S Wankhede ◽  
R S Shelke
Keyword(s):  
Solar Radiation ◽  
Numerical Investigation ◽  
Heat Loss ◽  
Salinity Gradient ◽  
Convective Zone ◽  
Performance Characteristics ◽  
Maximum Temperature ◽  
Maturation Period ◽  
Solar Pond ◽  
The Impact

Abstract A solar pond technology employs a layer of salinity gradient to prevent heat loss due to convection from the lower convective zone. Thus, the energy received from solar radiation is stored in a lower convective zone. The thickness of various zones significantly affects the behaviour of solar pond temperature. In this present study, a transient numerical investigation is conducted to evaluate the impact of depths of different zones on the performance characteristics of solar pond. The variation in maximum temperature and maturation period under the influence of non-convective zone and lower convective zone thickness is discussed. The energy obtained from a solar pond significantly depends on various losses associated with the zones. Thus, an assessment of conduction and ground heat loss is presented for the variation in thickness of zones. An attempt is also made to study the effect of thickness of zones on the temperature of the lower convective zone. It is found that the configuration of a smaller thickness of LCZ and a higher thickness of NCZ yields maximum LCZ temperature.

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