Thursday, December 5, 2019

Business Computing and Global Informatization †MyAssignmenthelp.com

Question: Discuss about the Business Computing and Global Informatization. Answer: Introduction This paper analyzes the data that has been calculated in a spreadsheet of CQ University Solar Power Analysis Worksheet. The paper analyzes the results of different calculations on solar panel types that are suitable for a particular type of business. The paper analyzes the best choice of solar panel in the case where the university considers both the gross return and the price. The paper analyzes the overall scores for all the ten solar panel types under consideration (Business Computing: Grundlagen und Standardsoftware,2012). The efficiency of each solar panel is also considered and compared to each other to determine the most efficient solar panel. Another variable being analyzed is the value of electricity generated by each of the generators per year. Fusion Catcha generator has the highest electricity production capacity with a value of $613. The analysis helps the university to determine the best solar panel from among the ten. The decision on the solar panels to be installed depends on a combination of a variety of factors (Adomavicius Gupta, 2009). The greenhouse gas reduction for each and every solar panel is also calculated and analyzed. The greenhouse gas reduction is measured in tones per year. Fusion Catcha solar panel has the highest reduction rate at 3.57 tons per year. This is important because it establishes the environmental sustainability of the solar panels. Should CQU adopt solar panels as a source of electricity? CQU University should adopt solar panels. This is because of the many advantages that the solar panels are seen to posses when compared to other sources of energy. The cost of solar panel installation is also low and the no monthly bills need to be paid. CQU should therefore install solar panels due to the advantages highlighted from the analysis that follows. From the analysis of the above graph and from the data provided concerning the solar panels, it is possible to easily evaluate and make a decision on which solar panel should be chosen. I would recommend the purchase of the solar panel with the highest yearly Gross return while at the same time it is cheap. In this case, there exist two options which I would explore. There are two solar panels with a price range of $250 and a corresponding gross return rate of 64%.The two solar panels would cost me the same price and the rate at which they return capital is also the same. The gross return rate is the rate at which the solar panels generate electricity value comparing to the initial purchase cost of the solar panel. The solar panel being purchased at $250 will generate electricity with a gross return value of 64% per year (Informatization, IEEE Computer Society, 2011). Therefore, this means that by the end of the first year after purchase, the solar panel will have generated electric ity worth $160. By the end of the second year, the solar panel will have generated electricity worth $320. This therefore means that the solar panel is economically desirable and very productive. I would therefore recommend the purchase of solar panel MR Solar EKS or SolarLife AB200. In case the overall score was calculate based on the output of the solar panels alone, it would be much easier to select the solar panel to purchase. This is because in this case, I would select the solar panel with the highest output capacity. From the consideration and analysis of information and data on the spread sheet, the solar panel with the highest output capacity is Fusion Catcha. The solar panel has an output capacity of 1600W. It therefore means that the solar panel will generate more electricity than all other solar panels. Therefore based on output capacity alone, I would recommend installation of Fusion catcha solar panel. If we calculate the entire scorecard on the basis Greenhouse Gas Reductions alone, the solar panel that has the best greenhouse gases reduction rate will be chosen. An evaluation of the spreadsheet data reveals that the solar panel with the highest reduction of greenhouse gases is Fusion Catcha. The greenhouse reduction rate is measured in Tonnes/year. The data from the chart shows that FusionCatcha reduced greenhouse gases by 3.5 tonnes per year. This is very significant compared to the solar panel with the lowest reduction rate at 0.02 tonnes per year. Therefore, I would recommend Fusion Catcha since it has the best greenhouse gas reduction capacity. With the combined scorecardon the basis of Gross Return in percentage alone, I would settle on Mr Solar EKS or SolarLife AB200. This is because the two solar panels have the best Gross return per year. They both tie at 64%. This means that once the solar panels are bought, they will have recouped around $160 within the first year. This is valued based on the electricity they will have produced relative to their initial cost of purchase. A scorecard based on the electricity generated in KW/Year would mean that the set solar panel is the one that generates many kilowatts per year than the rest. Therefore, the best solar panel in this consideration is FusionCatcha which produces 4088KW/year. It will be followed by MegaSol 10,000 which generates 2555kilowatts per year. In case the consideration was being based on the value of electricity generated alone, I would recommend the purchase of Fusion Catcha (Narayan, 2010). This is because the solar panel has the highest rate of electricity generation which stands at $613 per year. This decision would be made because it would offer the university the best economic value. Consideration if the greenhouse gas reduction was weighed twice as high as the other variables If the overall rate of reduction of greenhouse gases weighed twice as high as the other variables, this would have a huge effect on the combined score. Since the combined score is determined by this formula: Combined score = (1 x Efficiency (%) / Maximum Efficiency (%) for all Solar Panels under review 1 x Greenhouse Gas Reductions (Tons/Year) / Optimum reduction of greenhouse Gas Reductions (Tons/Year) for all Solar Panels being analyzed 1 x Gross Return per Year (%) / Maximum Gross Return per Year (%) for all Solar Panels analyzed) / 10 This consequently means that the increased weight of reduction of greenhouse gases will change the greenhouse gas reduction rates calculations since it will be multiplied by two. The adjusted formula for calculating overall score for each of the solar panels will now be: Combined scorecard = (1 x Efficiency (%) / Maximum Efficiency (%) of Solar Panels analyzed 2x Greenhouse Gas Reductions (Tons/Year) / Maximum Greenhouse Gas Reductions (Tons/Year) for all Solar Panels under review 1 x Gross Return per Year (%) / Maximum Gross Return per Year (%) for all Solar Panels analyzed) / 10 The overall scorecard will change for all solar panels. Despite this computation the Fusion Catcha solar panel will remain to be better. This is because the effect for the change in weighing will be equal across all the solar panels under review. The Fusion Catcha solar panel is the panel with the best reduction rate even when the weights are the same and this will not change even after the weighing has changed even though the overall scores will change. Consideration if the Greenhouse gas reduction rate was weighed three times higher than the other variables If the Greenhouse gas reduction rate was weighed three times as high as other factors, the following would be the formula for calculating the overall score for each solar panel. Overall Score = (1 x Efficiency rate (%) / Maximum Efficiency (%) for all Solar Panels analyzed 3x Greenhouse Gas Reductions (Tons/Year) / Maximum Greenhouse Gas Reductions (Tons/Year) for all Solar Panels analyzed 1 x Gross Return per Year (%) / Maximum Gross Return per Year (%) for all Solar Panels analyzed) / 10 The overall scores for each solar panel would be affected by the change of weight for greenhouse gas reduction to 3 times higher than the rest considerations. However, this effect would be inconsequential to the solar panel to be recommended since it will still have the highest overall score. Therefore, I would recommend Fusion Catcha solar panel. Gross return consideration and economic consideration of UCQ adopting the installation of solar panels The best solar panel in many aspects as well as in terms of the overall scorecard is the Fusion Catcha solar panel. The Fusion Catcha solar panel has a Gross Return of 12% in a year. The gross return for each year of the solar panel is arrived at by multiplying the electricity generated value by the panels per year with the price of electricity per kilowatt expressed as a percentage. The gross return calculations are not realistic. This is because the calculation only factors in the price of a unit of electricity leaving out the costs that may be associated with generating this electricity. There are various other costs that have not been taken into account. These costs include; Installation costs, repair and maintenance cost and the costs of installing a back-up system when there is not enough sunlight to generate solar energy. If these costs were put into consideration, the gross return calculations would change and would give more meaningful and realistic figures to the university . I think CQU should invest in solar power. This is informed by the analysis of data in the spreadsheet. The adoption of solar panel by CQU will have both economic and environmental benefits to the university. One of the reasons why the university should adopt solar panels is that they will help to reduce greenhouse gases by a very huge margin. If the university adopts the best solar panels i.e. Fusion Catcha, it will be able to minimize greenhouse gases by 3.5 tonnes per year. This will help in preservation of the environment by the university. From the analysis of the data, if the university adopts solar panels, it will generate electricity worthy $613 per year for each solar panel. Given that the university will install a huge number of solar panels this will result to generation of electricity worthy thousands of dollars. This electricity will be enough to run the whole university and the surplus can be sold to the neighboring institutions for a profit. The solar panels will als o help the university to save on the cost of electricity from other sources. Recommendation The costs of installation of solar panels can be reduced by choosing a central location where the panels can be installed so as to form a central point of electricity generation. The costs can be reduced by proper maintenance of solar panels to avoid damage and increase their durability. Conclusion The evaluation of the various different variables in identifying the most suitable solar panels by the company has helped to clearly understand the best solution for CQU. The analysis of combined variables and independent variables has helped to identify different scenarios and results that would be achieved with each of the solar panels being reviewed. Despite its premium price, Fusion Catcha emerges as the best solar panel based on a variety of factors and the overall scorecard. I recommend that the Fusion Catcha solar panel be adopted for CQU University despite its high price. The solar panels will offer economic value and are more environmental friendly than any other solar panel. References Adomavicius, G., Gupta, A. (2009). Business computing. Bingley, UK: Emerald Business Computing: Grundlagen und Standardsoftware. (2002). Berlin, Heidelberg: Springer Berlin Heidelberg. Business Computing mit SAP R/3?: Modellierung, Customizing und Anwendung betriebswirtschaftlich-integrierter Gescha ftsprozesse Business Computing: Arbeiten mit MS-Office und Internet. (2008). Berlin, Heidelberg: Springer Berlin Heidelberg. International Conference on Business Computing and Global Informatization, IEEE Computer Society. (2011). Proceedings of the 2011 International Conference on Business Computing and Global Informatization: 29-31 July 2011, Shanghai, China. Los Alamitos, Calif.: IEEE Computer Society. Narayan, R. (2010). Business computing. Place of publication not identified: Centrum Press.

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