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Created page with "{{Dimensions |nd = 1 |nx = 1 |nw = 1 }} The '''Ocean problem''' describes fossil fuel consumption and sequestration into the ocean [169]. It is a two box model where <math>S</math> describes the carbon stock in the atmosphere and upper layer ocean, <math>R</math> describes the carbon stock in fossil reserve and <math>D_L</math> the carbon stock in the deeper layer. The dynamics are given by an ODE model. The optimal control..."
 
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with auxiliary functions
with auxiliary functions
<p>
<math>
\begin{align*}
  U(t) = b \cdot u_1(t) - \mu \cdot u_1(t)^2, \quad \quad
  & D(t) = \nu \cdot (0.3 \cdot S(t) - S_{\text{preind}})^2, \\
  A(t) = a_1 \cdot u_2(t) + a_2 \cdot u_2(t)^2, \quad \quad
  & D_L(t) = D_{L, 0} + R_0 + S_0 - R(t) - S(t), \\
  C(t) = c_1 - c_2 \cdot R(t). &
\end{align*}
</math>
</p>
== Reference Solutions ==
== Reference Solutions ==



Revision as of 13:57, 21 August 2025

Ocean
State dimension: 1
Differential states: 1
Discrete control functions: 1


The Ocean problem describes fossil fuel consumption and sequestration into the ocean [169]. It is a two box model where S describes the carbon stock in the atmosphere and upper layer ocean, R describes the carbon stock in fossil reserve and DL the carbon stock in the deeper layer. The dynamics are given by an ODE model.

The optimal control function exhibits a singular arc.

Mathematical formulation

minwy(tf)subject toy˙(t)=exp(ρt)(U(t)A(t)u1(t)C(t)D(t)),S˙(t)=u1(t)u2(t)γ(S(t)ωDL(t)),R˙(t)=u1(t)y(0)=0,S(0)=2103,R(0)=104

with auxiliary functions

Failed to parse (syntax error): {\displaystyle \begin{align*} U(t) = b \cdot u_1(t) - \mu \cdot u_1(t)^2, \quad \quad & D(t) = \nu \cdot (0.3 \cdot S(t) - S_{\text{preind}})^2, \\ A(t) = a_1 \cdot u_2(t) + a_2 \cdot u_2(t)^2, \quad \quad & D_L(t) = D_{L, 0} + R_0 + S_0 - R(t) - S(t), \\ C(t) = c_1 - c_2 \cdot R(t). & \end{align*} }

Reference Solutions

Here is one local solution to the above control problem.

Miscellaneous and Further Reading

The problem description and further references can be found in the PhD thesis of Michael Ernst Geiger [1].

References

[1] "Adaptive Multiple Shooting for Boundary Value Problems and Constrained Parabolic Optimization Problems" by M. E. Geiger