IB Physics SL Extended Essay Example

The title clearly identifies the variables, technology types, and location. This gives the investigation a recognisable Physics focus from the outset and makes the scope easy to follow.

The research question mixes up "efficiency" and "specific energy output," which are not the same quantity. The student should rewrite it to name one measurable dependent variable clearly, so the investigation can stay tightly focused and avoid conceptual ambiguity.

This states a practical purpose for the investigation and shows why the topic matters in the UAE context. That relevance helps keep the report focused on an authentic real-world problem.

This wording is too vague for a scientific method. The student should explain how outputs will be compared, what counts as a valid comparison, and why the chosen dataset or model is appropriate for answering the question.

The method would be stronger if the student stated exactly which PVGIS inputs were held constant and which tracker configurations were compared. Naming assumptions such as location, system losses, and panel technology would make the approach reproducible.

The method for creating the percentage comparison is only described after the results appear, and the underlying calculation is not shown clearly for all systems. The student should present the formula and worked example earlier so the reader can verify the comparison.

The claim is plausible, but it is asserted without evidence or quantification. The student should support this with a source or data, especially because it is later used in the discussion to compare practical advantages.

This shows sound understanding of a core PV principle. The student connects panel geometry to incident radiation, which is exactly the kind of subject knowledge needed for this topic.

The student gives a useful numerical value, but the physics meaning is not fully precise: this is irradiation, not instantaneous radiation. The terminology should be tightened so the report distinguishes energy per area from power per area.

This sentence is awkward and scientifically unclear. The student should rewrite it to state a measurable idea, such as average sunshine hours or annual irradiation, and avoid vague wording like "significant with total solar energy."

This is a good attempt to connect direct, diffuse, and reflected components into one framework. The student is showing appropriate conceptual awareness of how solar input is built up from different sources.

The azimuth definition is not accurate enough here. The student should clarify whether the azimuth refers to the panel or the sun, and define the reference direction consistently, because ambiguity here affects the formula's interpretation.

The student uses the graph to identify a pattern rather than simply restating it. This is good analysis because it converts visual data into a specific seasonal claim that can support later arguments about tracking performance.

This observation is useful, but the student does not explain why the seasonal minimum matters for fixed versus tracking systems. The analysis would be stronger if it linked the GHI pattern directly to the expected difference in annual output.

This is a solid result statement, but the student does not interpret why October is highest or why December is lowest. Adding a short explanation tied to sun angle or seasonal irradiance would deepen the analysis.

The student reports the tracker data clearly, but does not compare the month-by-month pattern with the fixed system in detail. A stronger analysis would show where tracking helps most and whether the gain is consistent or seasonal.

This summary is helpful, but the calculation method is not shown for each month. The student should show at least one worked example and explain how the range was derived so the reader can check the reliability of the percentage comparison.

This moves beyond the reported simulation results into practical judgement, but without cost, area, or maintenance data. The student should either support this with evidence or narrow the conclusion to the modelled yield comparison.

What evidence in the investigation actually supports the claim about cost-effectiveness? The student may want to separate energy-yield results from economic conclusions unless a cost model or source-based comparison is added.

This is a strong use of numerical evidence in the conclusion. The student clearly pulls the main result back into the argument, which helps the reader see the basis for the final judgement.

The reasoning here is too broad and needs evidence. The student should distinguish between dust, humidity, and DNI more carefully and explain how each factor would change output, rather than combining them into one unsupported causal claim.

This evaluation is too dependent on a single unsupported media interview and does not show critical appraisal of the source. The student should assess reliability more carefully and use multiple independent sources if making claims about cost and maintenance.

The closing sentence would be stronger if it explicitly linked back to the research question and the simulation results. A concise final judgement about energy output, followed by a separate note about practical constraints, would improve the balance of the conclusion.

The word count is provided and falls within the required limit, which shows the student has managed the investigation length appropriately.

The report follows a conventional academic structure, and the contents page helps the reader navigate the investigation efficiently. This supports clarity and shows awareness of IB presentation expectations.

The use of comparative figures is effective because it lets the reader see the differences between tracker options at a glance. This supports the investigation well, especially when paired with the annual totals.

The visual would be easier to interpret if the student added the exact formula used for the percentage difference in the caption or nearby text. That would make the graph more transparent and improve the integration between visuals and analysis.

The table adds value by summarising the annual comparison, but the labels are not fully self-explanatory. The student should make the table headings more precise so the reader immediately knows what each percentage is relative to.

The bibliography entry is useful, but the citation style is not fully consistent with the rest of the works cited list. The student should standardise punctuation, capitalisation, and formatting across all references for a cleaner academic presentation.

The references section is present, but the report would be stronger if in-text citations were used consistently throughout the discussion. That would allow the reader to trace specific claims back to their sources more easily.