Assignment is about Tampa Bay Water with information regarding the amount of water saved and GHG emission reduction

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Is the transformation of methods for generating kwh applied per production done appropriately?


            Using the data from Tampa Bay Water, it is evident that they harvest the power usage conditions from e-grid. Most importantly, the table gives out a million gallons of water generated and directed from Tampa Bay Water (Barbeta et al.2015). It is quite clear that the individuals applied the correct methods. Consequently, there exist scores of portions that they went off the road referring to USF professor.

            The two and three scopes are the main sources of Tampa Bay Water GHG, this results in the existence of a small-scale clear point of production (Wani et al.2017). It is important to account for the indirect emission in scope according to GHG rules. Firstly, there is a missing transmission loss from the point of the power station to the facility point. Most of the essential energy is consumed. On the other hand, Tampa Bay Water applied chemicals to generate fresh water. However, the applied chemicals also form the portion of the indirect emission which to some existence is missed. Thirdly, the water facilities are formed by the sludge management system. In contrary, Tampa Bay Water did not take this one into books. They applied the appropriate methods to come up with khw that is directed at every production point. It is quite clear that Tampa Bay Water, shown an appealing maturity for responding to their GHG emission calculation. However, the method is not fully final.

Are the calculations for determining GHG emission for every electricity correct?

            The member governments five-year plan provides Tampa Bay Water with information regarding the amount of water saved and GHG emission reduction which comes from the reserved water. After that, CO2, N2O, and CH4(Ibis/mg) are multiplied by the MG saved after which every result is multiplied by 365 days in order to know the all the number of emissions reduction for saved MG in tons per year.

            The electrical usage from Tampa Bay Water provides data for the methodology applied in this area. The data ranges from the facilities used in pumping water for the period of the year 2017, that is the water year (WY). The data that is produced as emissions is directly changed to pounds (Ibis) and all of them are added to every source of energy. On the other hand, the sum of the megawatt-hour (MWh) that is generated is converted to kWh then applied with the sum of emission in order to find emissions Ibis per kWh. The kWh for water in Tampa Bay is multiplied by the total emissions in pounds per kWh (Dargahi et al.2016). This is done to every energy that is produced. The result of the multiplication shows the annual sum of greenhouse gas from Tampa Bay Water. On the significant part, in order to know the emissions per MG that are generated in pounds, the pounds for every kWh emissions are multiplied by kWh for every MG. all the above steps need to be done for every process.

            It is imperative to determine the number of emissions that come with every electricity usage when calculating scope 2 emissions. Policymakers and the projects are the two core methods companies apply in order to transport emissions from greenhouse gas to the final use.   There exist emission factors that the consumer greenhouse gas applies for every unit of consumption relating to scope 2. The factors must always be completed before transportation to the end user. The first factor from the guide is the geographically based method and the approach that makes use of the market position.

            It is clear that the approach of the market shows the electricity emissions that the organizations are at a position and able to come up with, however, geographical-based approach shows the average intensity of the emissions from the power table which takes in energy.          Consequently, the geographically based approach can be used in any place (Maupin et al.2014). It clearly shows the relationship between the collective consumer demand for electricity and the emissions from the locally based power production point.

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