What is the basis of the energy balance method? How does it differ from the formal finite difference method? For a specified nodal network, will these two methods result in the same or a different set of equations?

Short Answer

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Answer: The energy balance method is a numerical technique for solving partial differential equations (PDEs), often used in thermal or fluid flow problems. It focuses on conserving energy within discrete control volumes by approximating PDEs and applying the conservation of energy principle. The finite difference method is another numerical technique for approximating PDEs that replaces continuous functions and their derivatives with discrete approximations. For a given nodal network, the energy balance method and the finite difference method may or may not result in the same set of equations, depending on the problem's nature and the assumptions made during the model's formulation. In some cases, when both methods use the same numerical approximations, they may result in the same set of equations. In other cases, they may lead to different sets of equations due to different assumptions or approximations. The suitability of each method for a particular problem depends on the problem's nature and the required accuracy of the solution.

Step by step solution

01

Energy Balance Method

The energy balance method is a numerical technique used to solve partial differential equations (PDEs), usually applied to thermal or fluid flow problems. It's based on the concept of conserving energy within discrete control volumes, which are small regions that represent a system. In this method, we create a series of algebraic equations by approximating the PDEs and then applying the conservation of energy principle to those control volumes. The main purpose of the energy balance method is to calculate the temperature (or any other variable of interest) distribution in a system when the boundary conditions are known.
02

Finite Difference Method

The finite difference method is another numerical technique used to approximate solutions of PDEs. It works by representing continuous functions and their derivatives with discrete approximations. The basic idea is to replace the derivatives in the PDEs with their corresponding finite difference approximations and create a system of algebraic equations. The finite difference method can be applied to a wide range of problems, such as heat transfer, fluid dynamics, and structural analysis.
03

Comparison and Results

The energy balance method and the finite difference method are both numerical techniques for approximating the solutions of PDEs, but they have different approaches. The energy balance method focuses on conserving energy within discrete control volumes, while the finite difference method focuses on approximating continuous functions and their derivatives using discrete values. For a specified nodal network, these two methods may or may not result in the same set of equations, depending on the problem's nature and assumptions made during the model's formulation. In some cases, when both methods use the same numerical approximations, they may result in the same set of equations. However, in other cases, when different assumptions or approximations are made during the formulation of the problem, they may lead to different sets of equations. In summary, the energy balance method and the finite difference method can sometimes lead to the same set of equations in specific cases for a given nodal network, but they may differ depending on the assumptions made during problem formulation. Both methods have their own advantages and limitations, and their suitability for a particular problem depends on the problem's nature and the required accuracy of the solution.

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Most popular questions from this chapter

Explain how the finite difference form of a heat conduction problem is obtained by the energy balance method.

The wall of a heat exchanger separates hot water at \(T_{A}=90^{\circ} \mathrm{C}\) from cold water at \(T_{B}=10^{\circ} \mathrm{C}\). To extend the heat transfer area, two-dimensional ridges are machined on the cold side of the wall, as shown in Fig. P5-76. This geometry causes non-uniform thermal stresses, which may become critical for crack initiation along the lines between two ridges. To predict thermal stresses, the temperature field inside the wall must be determined. Convection coefficients are high enough so that the surface temperature is equal to that of the water on each side of the wall. (a) Identify the smallest section of the wall that can be analyzed in order to find the temperature field in the whole wall. (b) For the domain found in part \((a)\), construct a twodimensional grid with \(\Delta x=\Delta y=5 \mathrm{~mm}\) and write the matrix equation \(A T=C\) (elements of matrices \(A\) and \(C\) must be numbers). Do not solve for \(T\). (c) A thermocouple mounted at point \(M\) reads \(46.9^{\circ} \mathrm{C}\). Determine the other unknown temperatures in the grid defined in part (b).

Consider transient one-dimensional heat conduction in a pin fin of constant diameter \(D\) with constant thermal conductivity. The fin is losing heat by convection to the ambient air at \(T_{\infty}\) with a heat transfer coefficient of \(h\) and by radiation to the surrounding surfaces at an average temperature of \(T_{\text {surr }}\). The nodal network of the fin consists of nodes 0 (at the base), 1 (in the middle), and 2 (at the fin tip) with a uniform nodal spacing of \(\Delta x\). Using the energy balance approach, obtain the explicit finite difference formulation of this problem for the case of a specified temperature at the fin base and negligible heat transfer at the fin tip.

Consider steady two-dimensional heat transfer in a rectangular cross section \((60 \mathrm{~cm} \times 30 \mathrm{~cm})\) with the prescribed temperatures at the left, right, and bottom surfaces to be \(0^{\circ} \mathrm{C}\), and the top surface is given as \(100 \sin (\pi x / 60)\). Using a uniform mesh size \(\Delta x=\Delta y\), determine (a) the finite difference equations and \((b)\) the nodal temperatures.

Consider a house whose windows are made of \(0.375\)-in-thick glass \(\left(k=0.48 \mathrm{Btu} / \mathrm{h} \cdot \mathrm{ft} \cdot{ }^{\circ} \mathrm{F}\right.\) and \(\alpha=\) \(4.2 \times 10^{-6} \mathrm{ft}^{2} / \mathrm{s}\) ). Initially, the entire house, including the walls and the windows, is at the outdoor temperature of \(T_{o}=35^{\circ} \mathrm{F}\). It is observed that the windows are fogged because the indoor temperature is below the dew-point temperature of \(54^{\circ} \mathrm{F}\). Now the heater is turned on and the air temperature in the house is raised to \(T_{i}=72^{\circ} \mathrm{F}\) at a rate of \(2^{\circ} \mathrm{F}\) rise per minute. The heat transfer coefficients at the inner and outer surfaces of the wall can be taken to be \(h_{i}=1.2\) and \(h_{o}=2.6 \mathrm{Btu} / \mathrm{h} \cdot \mathrm{ft}^{2} \cdot{ }^{\circ} \mathrm{F}\), respectively, and the outdoor temperature can be assumed to remain constant. Using the explicit finite difference method with a mesh size of \(\Delta x=0.125\) in, determine how long it will take for the fog on the windows to clear up (i.e., for the inner surface temperature of the window glass to reach \(54^{\circ} \mathrm{F}\) ).

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