Intelligent Algorithms for a Hybrid FuelCell/Photovoltaic Standalone System : Simulation Of Hybrid FuelCell/Photovoltaic Standalone System

The Intelligent Algorithm is designed for theusing a Battery source. The main function is to automate the Hybrid System through anintelligent Algorithm so that it takes the decision according to the environmental conditionsfor utilizing the Photovoltaic/Solar Energy and in the absence of this, Fuel Cell energy isused. To enhance the performance of the Fuel Cell and Photovoltaic Cell we used batterybank which acts like a buffer and supply the current continuous to the load. To develop the main System whlogic based controller was used. Fuzzy Logic based controller used to develop this system,because they are chosen to be feasible for both controlling the decision process and predictingthe availability of the available energy on the basis of current Photovoltaic and Battery conditions. The Intelligent Algorithm is designed to optimize the performance of the system and to selectthe best available energy source(s) in regard of the input parameters. The enhance function of these Intelligent Controller is to predict the use of available energy resources and turn on thatparticular source for efficient energy utilization. A fuzzy controller was chosen to take thedecisions for the efficient energy utilization from the given resources. The fuzzy logic basedcontroller is designed in the Matlab-Simulink environment. Initially, the fuzzy based ruleswere built. Then MATLAB based simulation system was designed and implemented. Thenthis whole proposed model is simulated and tested for the accuracy of design and performanceof the system.

The amount of solar energy made available for the production of a sabia (Mimosa caesalpinaefolia Benth.) seed has a determinating effect on its becoming dormant

The amount of solar energy made available for the production of a sabid seed varied as a function of the time of the year, the face of the plant in which, the position in the plant on which and the position in the pod in which it was produced.Variation in solar energy availability as a consequence of the time of the year was a direct consequence of latitude. At 21degrees5'22 S the highest amounts of Global Solar Radiation (GSR) reaching the site where the experiment was conducted took place during the months from November through February. During these months there were no marked differences between any two of the amounts of GSR reaching faces North (N), South (S), West (W) East (E). From February through November (period during which the sabid plants of this study flowered and the resulting seeds matured and were harvested) the total GSR's were the lowest and marked differences were found between faces N and S, with face N receiving much more GSR than face S. During that period, faces W and E received practically the same amount of GSR and it was much less than that received by face N and much more than the one received by face S.The amount of biological energy made available for the development of a seed seemed also to vary according to a dry matter partitioning strategy by the plant -the central third of the plant seemed to be the one receiving the highest amounts of energy, followed either by the upper or the lower third of the plant- it was not very clear which third of the plant immediately followed the central one. The partitioning of biological energy at the pod level also seemed to follow a strategy by which the central seeds would be the ones to receive more, followed by the proximal seeds and these by the distal ones.This availability of energy seemed to have a direct effect on seed size, weight and on the percentage of seeds which showed a degree of dormancy deep enough to prevent their germinating under the conditions of a standard germination test.The implications of these results for the improvement of methods for the overcoming of dormancy of sabia seeds are discussed.

Solar energy budgets in central Amazonian ecosystems: a comparison between natural forest and bare soil areas

In order to estimate the deforestation consequences on the actual solar energy budget of the Central Amazon Region, two ecosystems of different characteristics were compared. The present conditions of the region were represented by a typical 'terra firme' forest cover located at INPA's Ducke Forest Reserve, where the measurements necessary to evaluate its solar energy balance were carried out. The second ecosystem, simulating a deforested area, was represented by an area about 1.0 ha without natural vegetation and situated in the same Reserve. In this area lysimeters were placed, two of them filled with yellow latosol and two others with quartzose sand soil. Both soils are representative soils in the region. Their water balances were taken into account as well as the other parameters necessary to compute the solar energy balances. The results showed that water loss by evaporation was about 41.8% of the total precipitation in the yellow latosol lysimeters and about 26.4% for the quartzose sand ones. For the forest cover it was estimated an evapotranspiration of 67.9% of the rainfall amount. In relation to solar energy balance calculated for the forest cover, it was found that 83.1% of the total energy incoming to this ecosystem was used by the evapotranspiration process, while the remaining of 16.9% can be taken as sensible heat. For bare soils, 55.1% and 31.8% of the total energy were used as latent heat by yellow latosol and quartzose sand soils, respectively. So, the remaining amounts of 44.9% and 68.2% were related to sensible heat and available to atmospheric air heating of these ecosystems. Such results suggest that a large deforestation of the Amazon Region would have direct consequences on their water and solar radiation balances, with an expected change on the actual climatic conditions of the region. © 1993.

Adoção da energia solar fotovoltaica em hospitais: revisando a literatura e algumas experiências internacionais

The sun has an extremely important role in the existence of human beings, and Brazil has a privileged geographical position to explore sunlight. The union of these two factors favors the use of solar cells for converting solar energy into electricity by photovoltaic technology: it is a great alternative energy source, especially for being a clean one, causing less damage to the environment. This paper addresses the photovoltaic technology with a focus on hospitals, through case studies found in international literature, because hospitals, even running all important services to society, have a potential for pollution capable of causing damage to human health and the environment that is around them. It is estimated that the Brazilian oil reserves are sufficient for twenty-two years. This makes the search for alternative sources for power generation a necessity.

Design Simulation for Solar Energy Research and Education

Solar research is primarily conducted in regions with consistent sunlight, severely limiting research opportunities in many areas. Unfortunately, the unreliable weather in Lewisburg, PA, can prove difficult for such testing to be conducted. As such, a solar simulator was developed for educational purposes for the Mechanical Engineering department at Bucknell University. The objective of this work was to first develop a geometric model to evaluate a one sun solar simulator. This was intended to provide a simplified model that could be used without the necessity of expensive software. This model was originally intended to be validated experimentally, but instead was done using a proven ray tracing program, TracePro. Analyses with the geometrical model and TracePro demonstrated the influence the geometrical properties had results, specifically the reflector (aperture) diameter and the rim angle. Subsequently, the two were approaches were consistent with one another for aperture diameters 0.5 m and larger, and for rim angles larger than 45°. The constructed prototype, that is currently untested, was designed from information provided by the geometric model, includes a metal halide lamp with a 9.5 mm arc diameter and parabolic reflector with an aperture diameter of 0.631 meters. The maximum angular divergence from the geometrical model was predicted to be 30 mRadians. The average angular divergence in TraceProof the system was 19.5 mRadians, compared to the sun’s divergence of 9.2 mRadians. Flux mapping in TracePro showed an intensity of 1000 W/m2 over the target plane located 40 meters from the lamp. The error between spectrum of the metal halide lamp and the solar spectrum was 10.9%, which was found by comparing their respective Plank radiation distributions. The project did not satisfy the original goal of matching the angular divergence of sunlight, although the system could still to be used for optical testing. The geometric model indicated performance in this area could be improved by increasing the diameter of the reflector, as well as decreasing the source diameter. Although ray tracing software provides more information to analyze the simulator system, the geometrical model is adequate to provide enough information to design a system.