A typical meteorological day (TMD) approach for predicting the long-term performance of solar energy systems

Solar Energy ◽  
1985 ◽  
Vol 35 (1) ◽  
pp. 63-69 ◽  
Author(s):  
D. Feuermann ◽  
J.M. Gordon ◽  
Y. Zarmi
Author(s):  
Sami Yamani Douzi Sorkhabi ◽  
Ahmed Mahmoud ◽  
Shakya Sur ◽  
Elan Pavlov ◽  
Amy Bilton

Over the past several decades, the wild capture fisheries have become unsustainable and the practice of small-scale aquaculture has increased in the rural areas of developing countries. In aquaculture ponds, it is critical to maintain adequate levels of dissolved oxygen to ensure productivity and fish health. To provide adequate dissolved oxygen, aeration systems can be employed. However, the current aeration systems are expensive and require secure access to electricity, putting them out of reach for developing world applications. To address this need, a simple aeration system powered by solar energy, called a Solar Updraft Aerator (SUpA) is proposed. SUpA induces convection in the pond by directing absorbed solar energy to deeper pond layers, increasing the dissolved oxygen level. To be effective, SUpA needs to provide adequate dissolved oxygen even when there are multiple days of low sunlight. This research estimates the long-term performance of SUpA under different weather conditions and for a period of 15 to 18 years. Through this process, the dissolved oxygen level of the aquaculture pond is simulated with and without SUpA system to evaluate the magnitude of the influence. The results indicate that SUpA can significantly reduce the number of hours that the dissolved oxygen level is below the needed threshold.


2011 ◽  
Vol 133 (4) ◽  
Author(s):  
Donghyun Seo ◽  
Moncef Krarti

A new model is developed to predict hourly solar radiation for any climate zone worldwide. The model solar radiation predictions are suitable to generate typical weather files used to evaluate the long-term performance of renewable energy systems and building energy systems. The predictions of the new solar model are compared as well as measured solar radiation data obtained for several weather stations located in various climate zones worldwide. It is found that the new solar model is able to estimate monthly solar radiation with a 7% prediction error for secondary stations and 2% prediction error for primary stations.


Author(s):  
Carl Malings ◽  
Rebecca Tanzer ◽  
Aliaksei Hauryliuk ◽  
Provat K. Saha ◽  
Allen L. Robinson ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document