The limitations of a computational model based on the assumptions made in creating the algebraic descriptions of energy changes and flows in a system include:
-
Human error - Errors can occur during the modeling process, including data input mistakes or misinterpretation of results.
-
Accuracy of final conditions - The results of the model may not accurately represent real-world conditions, depending on the assumptions and parameters used.
-
Biases in assumptions - If certain assumptions are biased or not representative of the actual system, the model's results may be skewed.
-
Simplification by ignoring some values - When simplifying complex systems by ignoring certain variables or interactions, the model may lose important information, affecting its accuracy.
The option computational power of the computer is generally not a limitation of the model itself but rather a practical constraint on what can be computed or simulated. Thus, it is not selected in this context.
So, the correct selections are:
- human error
- accuracy of final conditions
- biases in assumptions
- simplification by ignoring some values