Q 13 and 14 1.11 Why are capacity factors for PV farms typiealty regions? distri
ID: 2304366 • Letter: Q
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Q 13 and
14
1.11 Why are capacity factors for PV farms typiealty regions? distribution . 1.12 A region has a temperature variation that can be described by a Gaussian with mean 25 "C and standard deviation 5 C. The chance of the temperature s above 40.5 C is 1 in 1000. Prolonged exposure to temperatures above 40 C c dangerous to health.If the mean temperature in this region rises by (a) 2 "C and (cibe and the standard deviation remains the same, calculate the chance that tempe are above 40.5 "C. Discuss the relevance of your result to global warming 1.13 The global mean temperature rise is proportional to the cumulative CO perature rise would be if with a rise of -0.5 °C per 1000 GtCO2. Estimate what the tem we were to maintain our emissions at (a) the current level until 2100, or (b) d them steadily to zero by 2100. 1.14 How does imp roving the efficiency of conversion of a wind turbine or solar cell afet (a) the capacity factor, (b) the power density, and (c) the levelized cost of energy?Explanation / Answer
If the efficiency of conversion of a wind turbine or a solar cell is increased, then it will produce more energy than the previous scenario using same amount of resources ( time, and other inputs)
(a) Now capacity factor is the ratio of actual energy produced over a time and the theoretical energy calculated considering maximum possible output.
As the efficiency of conversion has been increased, actual energy produced over the same time will increase and hence capacity factor will increase.
(b) Power density will increase as the efficiency has been increased.
(c) Levelized cost of energy will decrease. Because the capacity factor has increased and in calculation of Levelized cost of energy capacity factor comes into denominator with a factor 8760.
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