Seven items to check before preparing bank-submission materials in PVSyst

Table of contents

• Key concepts to grasp before preparing bank-submission materials in PVSyst

• Check item 1 Are the installation site and meteorological data consistent?

• Check item 2 Do the azimuth, tilt angle, and layout conditions contradict on-site assumptions?

• Check item 3 Are the shading conditions and 3D scene settings explainable?

• Check item 4 Do the module, PCS, and string configurations hold up without forcing them?

• Check item 5 Are there no overlaps or excessive optimism in how loss factors are set?

• Check item 6 Have you organized not only annual generation but also monthly generation and PR interpretation?

• Check item 7 Are output results and assumptions organized so a third party can follow them?

• Practical closing steps to strengthen PVSyst materials for banks

Key concepts to grasp before preparing bank-submission materials in PVSyst

PVSyst outputs are powerful materials because they can show generation simulations as numbers, but for bank submissions, simply having a high annual generation figure is not enough. What the bank wants to see is less the magnitude of the numbers themselves and more the assumptions behind those numbers, how reproducible they are, and where uncertainties remain. In other words, the strength of bank-submission materials lies more in organizing the assumptions and the consistency of the explanations than in flashy figures.

In practice, it is common to prepare internal review materials and bank-submission materials in the same way. For internal use, somewhat rough assumptions can function as a starting point for discussion. However, for bank submission, ambiguous assumptions or jumps in settings directly reduce credibility. For example, if the meteorological data basis is weak, shading conditions are overly simplified, loss factors are set uniformly and are hard to explain, or the layout deviates from on-site conditions, then even an impressive annual generation number will be difficult to evaluate positively.

Also, for bank submissions it is important to present the flow leading to the results, not just the results themselves. You must connect which location’s weather conditions were adopted, what azimuth and tilt angles were assumed, what shading and loss conditions were applied, and how those lead to the resulting annual generation and PR. If you isolate numbers and present them alone, they may look clear at first glance, but later, when assumptions are questioned, they will be fragile.

Furthermore, bank-submission materials must avoid being either too conservative or too optimistic. If you overstate generation unnecessarily, credibility will be fragile when conditions are revised later. Conversely, if you use overly strict assumptions and reduce the numbers too much, the attractiveness of a project that should be evaluated may not be conveyed. What matters is that the numbers are natural given the site conditions and operational assumptions. Below, we organize seven items to check in sequence before submission to achieve that.

Check item 1 Are the installation site and meteorological data consistent?

The first thing to check is the consistency between the installation site and the meteorological data. No matter how carefully you model the system configuration in PVSyst, if the meteorological assumptions diverge from the site, the overall reliability of the output drops significantly. For bank-submission materials, this part serves as the foundation. If the foundation is unclear, no matter how much you refine shading or loss conditions later, the core of your explanation will be weak.

In practice, people sometimes use data from the representative location nearest the candidate site or reuse data from a nearby previous project. This is not uncommon in initial studies, but when preparing bank-submission materials, you need to be able to explain in your own words how representative that location is for the current planned site. Elevation differences, whether the site is coastal or inland, the openness of surrounding terrain, and seasonal irradiation trends can all change how annual generation looks even within the same prefecture.

Also, do not be reassured by annual irradiation totals alone. Even if the yearly totals are similar, different monthly distributions can change how generation looks in winter or summer. For bank submissions, seasonal stability and bias may be questioned later in addition to annual values. Therefore, when checking the consistency between the installation site and the meteorological data, you should verify not only the annual total but also monthly trends.

In this check, it is important not only to state which data were adopted but also to整理 why that data was chosen. For bank-submission materials, being able to explain the source of the numbers is equivalent to credibility itself. If you cannot state the reason for selecting the meteorological data in one sentence, strengthen that point first.

Check item 2 Do the azimuth, tilt angle, and layout conditions contradict on-site assumptions?

The second item to check is whether the azimuth, tilt angle, and layout conditions contradict on-site assumptions. In PVSyst, placing ideal azimuths and tilt angles can easily produce higher-looking generation figures. However, what banks need in their submissions is not the highest number but numbers that are achievable under on-site conditions. If azimuth and tilt angles are unrealistic, the annual generation may look high but the explanation to a bank will be weak.

For example, if you ignore site shape, slope directions, or earthworks conditions to bias arrays toward the ideal orientation, problems can arise with row spacing or edge clearances. If arrays are packed to the limit despite being hard to secure maintenance passages, you will be constrained later when explaining shading conditions or availability losses. Banks tend to detect unreasonable layouts more readily than raw numbers, because final lending decisions emphasize feasibility over theoretical ideal values.

Furthermore, azimuth and tilt angle are strongly tied to shading conditions. Increasing the tilt often improves apparent irradiance but also intensifies shading from front and back rows. Even if you bias azimuth toward the ideal, poor compatibility with the site shape can disrupt layout coherence and increase losses. In short, azimuth and tilt angle should not be optimized in isolation but judged together with layout conditions for naturalness.

In this check, return to drawings and site conditions and confirm that the chosen orientation and angle are actually feasible. Review them against site photos, slope directions, existing structures, and maintenance passage planning to see whether the azimuth and tilt angle look natural. For bank submissions, what matters is not whether the azimuth and tilt look neat but whether they connect to the on-site conditions without forcing the design.

Check item 3 Are the shading conditions and 3D scene settings explainable?

The third item to check is whether the shading conditions and 3D scene settings are in a state that can be explained. PVSyst can reflect shading effects using 3D scenes and Near Shading, and while this greatly influences the impression of results, it is also an area where the inputter’s assumptions are directly visible. To strengthen bank-submission materials, you must be able to explain not only the shading results but what shading was reflected and to what extent.

In practice, it is possible to include too many obstacles and make shading conditions excessively strict, or conversely to omit major shading sources and produce optimistic figures. Both are risky for bank submissions. What matters is what was included, what was excluded, and whether those judgments are natural. For example, prioritizing the reflection of site buildings, slopes, retaining walls, trees, and adjacent arrays—elements likely to affect shading—and simplifying minor details with small impact is a consistent practical approach.

Also, shading effects should be examined not only in terms of annual shading loss rates but also in which seasons and time zones they are significant. Whether shading is strong only on winter mornings or exerts a steady effect throughout the year has different design implications. For bank submissions, more important than whether shading exists is how that shading impacts annual generation. Therefore, you should connect 3D scene images not only to visual presentation but to explanations of annual and monthly generation impacts.

In this check, prioritize checking the assumptions over the visual quality of the 3D scene. Review which obstacles are the primary causes, whether row spacing and passage conditions are realistic, and whether the shading assumptions are neither extremely lenient nor overly strict. For bank-submission materials, being able to explain the shading assumptions is more important than whether the shading was reproduced with perfect precision.

Check item 4 Do the module, PCS, and string configurations hold up without forcing them?

The fourth item to check is whether the module, PCS, and string configurations hold up without forcing them. PVSyst can calculate annual generation by entering individual equipment parameters, but a calculable result does not necessarily mean the configuration is natural in practical terms. For bank submissions, a system that shows no structural strain is often valued more than one that merely shows a high annual generation.

For example, if the DC/AC ratio is overly aggressive and causes infeasible loading on the PCS side, first-year generation may look high, but it will be difficult to explain output limits and operational aspects. Regarding string configurations, if rows that receive different shading are forcibly grouped into the same string, mismatch losses can appear unnatural. Such configuration strains are easy to overlook when only looking at annual generation but greatly affect report credibility.

Also important is the relationship between module count and layout conditions. Even if high-power modules are adopted, they are meaningless unless they fit the site naturally. Check edge leftovers, passage arrangements, and block coherency to ensure the layout is feasible. Bank-submission materials tend to devalue proposals that are likely to undergo many design changes later. A natural, strain-free system configuration itself increases the credibility of the materials.

In this check, look not only at individual equipment specs but at whether the system ties together naturally. If modules, PCS, strings, array layout, shading conditions, and wiring conditions cohere into one feasible proposal, the numbers become much more credible. For PVSyst materials intended for banks, configuration naturalness matters far more than flashy output values.

Check item 5 Are there no overlaps or excessive optimism in how loss factors are set?

The fifth item to check is whether there are overlaps or excessive optimism in how loss factors are set. PVSyst allows you to set various individual losses—temperature, soiling, wiring, mismatch, availability, etc. This flexibility is useful, but if loss settings lack consistency, results can look unduly high or low. For bank-submission materials, ambiguity here will make the numbers easy to question.

For example, if shading is modeled quite rigorously while the same disadvantage is double-counted under another item, the overall result may become overly conservative. Conversely, if shading and temperature assumptions are idealized while availability losses are set small, the annual generation may look high but be hard to justify. What matters is not only whether each loss factor is reasonable but whether the whole loss structure is natural.

Also, avoid reusing fixed values uniformly. Soiling losses depend on site conditions and maintenance assumptions; wiring losses depend on site spread and PCS locations; availability losses depend on maintainability and monitoring systems. In practice, it is tempting to carry over numbers from past projects, but for bank submissions you must verify whether those numbers are natural for the current project. It is important to be able to explain the assumptions rather than simply reusing numbers.

In this check, compare the loss tree and input conditions to clarify what each loss represents. Confirm there are no overlaps, that assumptions are not overly optimistic, and not excessively strict; adjust as necessary. For PVSyst materials destined for banks, consistency in how loss factors are set affects credibility more than the granularity of the loss breakdown.

Check item 6 Have you organized not only annual generation but also monthly generation and PR interpretation?

The sixth item to check is whether you have organized not only annual generation but also how to read monthly generation and PR. For bank submissions, annual generation is often the first figure reviewed, but that alone does not convey stability or risk sufficiently. Viewing monthly generation reveals which seasons show differences and when impacts are concentrated, and looking at PR alongside helps clarify the loss structure.

For example, a proposal with high annual generation but a large winter drop may indicate strict shading or tilt assumptions. If only summer shows significant differences, check temperature losses and PCS assumptions. For PR, a high value is not automatically good nor a low value automatically bad; it is important to understand which loss structure produced that number. For bank submissions, the stability and explainability of numbers matter more than magnitude alone.

Also, organizing monthly generation and PR makes comparing alternative proposals much easier. Even if annual totals are close, differing monthly patterns or PR breakdowns can change investment impressions. One option might be strong in summer while another is stable in winter. One might have slightly lower PR because it realistically incorporates shading and availability losses. Being able to read these differences lets you judge which proposal is easier to explain, not just which has a higher number.

Therefore, for bank submissions it is effective to use annual generation as the main metric while also clarifying monthly generation characteristics and PR interpretation. You do not need to include every graph in detail, but present the main differences and their causes so the materials become more credible. To make PVSyst outputs strong proposal materials, control both the time axis and the loss structure, not just the annual total.

Check item 7 Are output results and assumptions organized so a third party can follow them?

Finally, check whether output results and assumptions are organized so a third party can follow them. Bank-submission materials must not be only understandable to the preparer. Even if the person who ran the simulation is not present, the reader must be able to follow the meaning of the results. A list of numbers alone does not reveal which assumptions produced them, and that undermines credibility.

For example, when showing annual generation, at minimum you should make it traceable which installation site, meteorological data, azimuth, tilt angle, shading conditions, and major loss assumptions were used. If there are alternative proposals, explicitly state what variables were changed for the comparison. When assumptions are traceable, it is easier to understand whether differences in numbers stem from design, weather, or shading differences. This is very important for those making lending decisions.

Also, making assumptions traceable does not mean listing every single setting. More important is organizing the key conditions so that readers understand which assumptions dominate. Readers need to know not all settings but which are the principal assumptions behind the results, where uncertainties lie, and what should be checked next. PVSyst’s results are detailed, but for proposal materials the organization of those results often determines their value.

Therefore, for bank submissions, always attach a summary of assumptions near the output results. Rather than pasting the results alone, show the conditions used for the calculations and which points require further scrutiny; this strengthens the materials. Whether PVSyst results are trustworthy depends not only on numerical correctness but also on whether you have organized the assumptions so a third party can follow them.

Practical closing steps to strengthen PVSyst materials for banks

What the seven items above have in common is that you should not treat PVSyst materials for bank submission as mere generation reports. Only when the installation site and meteorological data are consistent, azimuth and tilt are natural, shading conditions and 3D scenes are explainable, the system configuration is feasible, loss factors are consistent, monthly generation and PR interpretation are organized, and assumptions are traceable by a third party will the report become suitable for investment decisions. Whether the numbers are high or low is less important than whether their basis is natural.

For practitioners, the most important thing is not to show the highest annual generation. Valuable is the ability to explain under what conditions the numbers were produced, how close those conditions are to on-site realities, which risks were considered, and which points still need verification. For bank submissions, reproducible and explainable numbers are stronger than optimistic ones. How you prepare PVSyst results can greatly change the perceived reliability of the same project.

Also, in the finalization stage, do not hide uncertainties. Shading conditions that may change with on-site verification, tilt angles that may change with earthworks policy, and availability losses that may vary with maintenance arrangements should not be presented as definitive values. Indicate which parts are current assumptions and which require future checks; this tends to earn more trust from banks. A polished report is not one that asserts everything, but one that organizes important assumptions and uncertainties.

In that sense, securing on-site data more reliably greatly raises the quality of bank-submission materials. To acquire high-precision site positions and coordinates, using GNSS high-precision positioning devices such as LRTK that attach to an iPhone can be effective. When site position information and site conditions gathered on-site are easier to organize, the assumptions in PVSyst reports become clearer, and it becomes easier to explain shading, layout, and maintenance flow. If you improve desktop comparison accuracy with PVSyst and support on-site accuracy with LRTK, bank-submission materials move from mere calculation results toward site-grounded investment decision documents. Strengthening a PVSyst report means not just showing numbers but making the background of those numbers explainable and connected to the site.