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69.14 |
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69.15 |
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69.16 |
| 1P/T | = | the fractional change in thermal neutrons causing fission between lp1 and lp2 |
On dividing both sides of Equation 69.16 by the prompt neutron lifetime, lp, the fissions in prompt lifetime number one convert to fission rates and source emissions also become rates.
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69.17 |
| n1 = n1'/lp | = | the thermal neutron fission rate in lp1, fissions/second |
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| S1 = S1'/lp | = | the neutron emission rate of the non-fission source in lp1 , neutrons/second |
Prime notation on n1 and S1 is no longer required because dividing by lp converts the numeric counts in a lifetime (the number of fissions occurring in a particular lifetime) to rates in that lifetime, e.g. thermal neutrons causing fission per second.
Using conventional notation for real time, Equation 69.17 in its most general form for a transient situation becomes:
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69.18 |
| T(t) | = | the reactor period at time "t", seconds |
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| n(t) = n1/lp | = | the thermal neutron fission rate at an instant in time, "t", fissions/second | |
| delta-k(t) | = | the delta-k value at time "t" | |
| k(t) | = | the value of keff at time "t" | |
| lambdaeff(t) | = | the effective decay constant at time "t", sec-1 | |
| C(t) | = | the precursor inventory at time t, atoms | |
| S | = | S1 = the non-fission source neutron emission rate at time t, neurons/second |
In this general expression, four parameters [other than n(t) and C(t)] containing a time variable, (t), can be changing with time, namely the reactor period, keff, delta-k, and lambdaeff. For specific applications of Equation 69.18 in future essays, some of these parameters may be set as constant with time.
To express the neutron balance in terms of reactivity , both sides of Equation 69.18 are divided by keff(t):
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69.19 |
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69.20 |
| Change in Fission Rate | Prompt Neutron Fission Rate - Total Fission Rate | Delayed Neutron Fission Rate | Non-Fission Neutron Fission Rate |
| l*(t) | = | lp/k(t) | |
| rho(t) | = | [k(t) - 1]/k(t) |
BALANCE EQUATION FOR REACTOR POWER
For certain operational applications it is helpful to convert the fission rate to reactor power. Dividing both sides of Equation 69.20 by the power conversion factor, namely 3.1x1010 (fissions/second)/watt gives:
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69.21 |
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69.22 |
| Change in Reactor Power | Prompt Neutron Power - Total Power | Delayed Neutron Power | Non-Fission Neutron Power |
| P(t) | = | n(t)/(3.1x1010), watts | |
| C(t)-bar | = | C(t)/(nu x 3.1x1010), watt-sec | |
| S-bar | = | S/(nu x 3.1x1010), watts |
Equation 69.22 is sometimes referred to as the first reactor kinetics equation.
REMARKS
Even though nearly all expressions relevant to defining and understanding reactor behavior with time derive directly from the balance equations, operational instruction rarely gives more than passing recognition to the existence of these equations. The primary reason for neglect is probably that the balances are always expressed in the form of differential equations, an automatic turnoff to the prospective operator in the class room. Another reason for so little attention is that the means for numeric application is not obvious due to the interdependence of several parameters and the coupling of the equations.
The key to avoiding the differential barrier is a simple substitution introduced in Equation A-16, namely letting "1/T" represent the fractional rate of change of the neutron population. The substitution of reactor period suppresses the differential aspect of the neutron balance equation with a term that represents a familiar concept. The neutron balance now appears to be a straightforward algebraic expression, which, as an added benefit, is capable of yielding a wealth of information about reactor behavior. Algebraic solution of the balance equations in this form yields important unadulterated reactor behavioral properties and characteristics, including the delayed neutron population fraction , the source multiplication factor, the prompt jump factor, the reactor period equation, and the in-hr equation.
Future essays will be devoted to developing these relations and to demonstrating numeric applications. Such examples aid in understanding the underlying physical process.
SUMMARY