Six Simulations to Consider for Agrivoltaic Projects in PVSyst

Table of Contents

• Why comparative evaluation in PVSyst becomes important for agrivoltaic projects

• Simulation 1 Compare changes in solar shading rate

• Simulation 2 Compare differences in racking height and row spacing

• Simulation 3 Compare combinations of orientation and tilt angle

• Simulation 4 Compare approaches to installed capacity and oversizing

• Simulation 5 Verify seasonal generation trends

• Simulation 6 Check sensitivity to loss factors

• Summary when using PVSyst for agrivoltaic projects

Why comparative evaluation in PVSyst becomes important for agrivoltaic projects

In agrivoltaic projects, you often cannot proceed with the simple idea of just maximizing generation. Unlike typical ground-mounted systems, you must consider both the agricultural use of the land and the feasibility of the PV installation simultaneously. In practice, generation, shading, workability, structural constraints, and maintenance interact with each other, so making decisions based on a single figure can lead to rework in later stages.

Therefore, when using PVSyst, it is more important to create and compare multiple cases with varied conditions than to try to hit a single “correct” proposal from the start. In agrivoltaic projects, even with the same installed capacity on a site, differences in racking height, row spacing, orientation, or tilt angle change not only the generation profile but also the distribution of light on the farmland and the ease of on-site operations. In other words, simulations should be used not just to check generation but as comparative material that supports design decision-making.

Many search users wonder how deeply they should refine agrivoltaic cases in PVSyst and which parameters to vary for comparison. In agrivoltaic projects, the more you revise drawings, structures, financials, and stakeholder explanations to reflect site conditions, the more intertwined those deliverables become, so it’s important to identify which simulations to run at the early stages. Here we organize six simulations that practitioners should compare early in the design and review flow.

Simulation 1 Compare changes in solar shading rate

The first thing to examine in agrivoltaic projects is how different equipment layouts change the passage of sunlight. In planning generation equipment, attention tends to focus on annual generation and installed capacity, but in agrivoltaics you cannot ignore the shadows cast onto the farmland. What becomes a problem on site is not only the annual average shadow but how much irradiance is limited during seasons or times of day that most affect crop growth.

Therefore, instead of progressing with a design based on a single-case generation figure, it is important to compare how shadows form while varying panel packing density and row spacing. Especially layouts that create asymmetric shading in the morning versus afternoon, or layouts that tend to cast long shadows in winter, produce differences that aren’t captured by annual totals alone. When creating comparison cases in PVSyst, you should not just look at generation differences but arrange cases with the perspective of how different shading conditions affect the overall equipment plan.

In practice, fewer shadows are not always strictly better. If you widen row spacing too much to reduce shading, you may no longer fit sufficient capacity and the financials can become unviable. Conversely, densely packing to prioritize capacity can make it difficult to explain the plan from an agricultural-use perspective. That is why simulations related to solar shading rate are valuable as a starting point for agrivoltaic projects, comparing multiple proposals up front.

Even more important is not treating shading as a single fixed value. In agrivoltaics, priorities change depending on cropping plans, row orientations, or farm machinery routes within the same site. By evaluating where shadows concentrate versus where they disperse based on actual site use, you can turn PVSyst’s comparison results from desk figures into practical decision-making material.

Simulation 2 Compare differences in racking height and row spacing

Next priority is comparing combinations of racking height and row spacing. In agrivoltaic projects, deciding height as an extension of typical ground-mounted practice often leads to failure. The reason is clear: height dramatically affects agricultural operations, crop management, ventilation, sunlight, and future operation. You need to check not only whether people or equipment can pass underneath but also the working clearance and usability under the equipment during farm operations.

In PVSyst simulations, it is practical to compare height and row spacing as combinations rather than separately. Raising the height changes how shadows pass beneath the arrays, and widening row spacing changes how mutual shading occurs. In other words, rather than comparing changes in height alone or spacing alone, create several cases that set height and spacing together so the design trade-offs become clearer. Reviewing this carefully makes it easier to coordinate later with structural and construction teams.

Also, racking height cannot be evaluated by generation alone. Even if raising height improves usable space, it can change structural loads and constructability, ultimately affecting cost and schedule. The important point is to treat differences obtained in PVSyst not as absolute numbers but as material to organize design priority. For example, a proposal that slightly reduces generation but significantly improves agricultural workability may be worthy of serious consideration in agrivoltaics.

The same applies to row spacing. Narrow spacing makes it easier to secure capacity but tends to worsen shading interference, inspection routes, farm machinery access, and operational safety. Wider spacing improves conditions other than generation but reduces capacity efficiency per area. To quantitatively compare these trade-offs, height-and-spacing case comparisons are highly effective in agrivoltaic projects. Addressing this early in the design reduces the likelihood of major design changes later.

Simulation 3 Compare combinations of orientation and tilt angle

Comparing orientation and tilt angle is also essential in agrivoltaic projects. In general generation systems, orientations and angles that maximize annual generation are often the primary consideration, but relying on that alone in agrivoltaics can lead to mismatches with site conditions. This is because the way shadows fall, the balance of daylight on the farmland, brightness under the arrays, and sightlines during work all change. You should examine not only generation magnitudes but also how the distribution of incident sunlight changes.

In particular, a scheme that concentrates arrays south-facing versus a scheme that disperses them east–west changes the daily generation curve and the bias of shadowing even with the same installed capacity. In agrivoltaics, proposals that cast strong shadows around noon and those that spread shadows into mornings and evenings can be evaluated differently on site. By varying orientation and tilt angle in multiple PVSyst cases, you will see decision axes specific to agrivoltaics beyond simple annual generation differences.

Tilt angle is important too. Even if a larger tilt looks advantageous for generation, it can lengthen shadows or constrain usable space under the array. Conversely, reducing tilt may mitigate shadows but affect rainwater runoff, soiling, and seasonal irradiation conditions. In agrivoltaics, it is important to evaluate orientation and tilt together to ensure the farmland side is not unduly burdened.

Moreover, comparing orientation and tilt is useful for preparing explanatory materials. In agrivoltaic projects, stakeholders may not be convinced by a single “optimal” solution held only in the designer’s head. Comparing multiple options and showing which one best balances generation, shading, and farmland use makes it easier to share the design intent. Using PVSyst as the supporting evidence for that comparison is effective, and this use is particularly important in agrivoltaics.

Simulation 4 Compare approaches to installed capacity and oversizing

The approach to deciding installed capacity in agrivoltaic projects requires a somewhat different perspective than in general projects. The idea of filling a site to maximize capacity does not straightforwardly apply in agrivoltaics. As capacity increases, placement density tends to rise, impacting shading, row spacing, workability, and structural load. Thus, installed capacity is not a standalone number but a design element that should be decided in alignment with agricultural conditions.

Effective here is running simulations with stepped capacities. For example, split cases into a conservative capacity, a standard case, and a slightly aggressive case, and examine not only annual generation but also equipment utilization and any tendency toward output clipping. In agrivoltaics, there are cases where added capacity yields less-than-expected increases, and in such situations the generation benefit relative to impacts on farmland or construction difficulty can be small. It is important to detect such differences early.

Be cautious with oversizing as well. Even if oversizing is effective from a generation standpoint, in agrivoltaics it often ties to increased density and layout constraints, making decisions based solely on profit maximization difficult. By comparing different degrees of oversizing in PVSyst, you can identify at what point output curtailment becomes significant and what range remains a realistic design option.

Also, do not be overly swayed by the appearance of the numbers when examining capacity. What is ultimately required in agrivoltaics is a sustainable, practical plan. Larger capacity is not always better; a comprehensive evaluation including farm usability and maintainability of the equipment is necessary. In that sense, simulations comparing installed capacity and oversizing should be viewed as an exercise to find a viable compromise rather than merely a quest to maximize generation.

Simulation 5 Verify seasonal generation trends

A commonly overlooked point in agrivoltaic projects is judging solely by annual totals. Annual generation is of course important, but seasonal changes in irradiance strongly affect the farmland-side evaluation in agrivoltaics. Therefore, you should always run simulations that check monthly and seasonal generation trends in addition to annual totals. Doing so makes it easier to see when impacts concentrate and when generation differences tend to appear.

It is particularly important to overlay periods when crop management requires careful consideration of light conditions with periods when generation differences are likely to appear. Because solar altitude differs between summer and winter, the same layout can produce very different shadow behavior. Some proposals produce long shadows in winter, others generate more during summer peaks—each has its own characteristics. In agrivoltaics, season-specific trends often influence decisions more than averaged annual numbers.

Seasonal verification is also useful for improving the precision of plan explanations. If you only present annual values, some stakeholders may find them inconsistent with their on-site experience and hard to understand. Organizing and showing monthly or seasonal differences makes it easier to explain why a given layout, height, or spacing was chosen. In agrivoltaic projects, explanations must be understandable not only to designers but also to those involved in on-site operations, so these comparisons have high practical value.

Furthermore, by reviewing seasonal simulations you can detect biases in the equipment plan. Even if annual values look good, if impacts concentrate in a particular season you may encounter problems after operations start. When using PVSyst, make it a practice to check seasonal trends for extreme biases before treating the annual value as the final evaluation—this leads to a more careful agrivoltaic assessment.

Simulation 6 Check sensitivity to loss factors

Finally, check sensitivity to loss factors. Because equipment placement and site environments in agrivoltaics differ from typical projects, fixing loss estimates can lead to discrepancies with reality. Temperature conditions, wiring conditions, soiling, partial shading, and operational variability are a few factors that combine and affect results. Rather than fixing these factors all at once, varying them slightly for comparison helps reveal the plan’s strengths and weaknesses.

A key benefit of sensitivity checks is understanding the margin around design assumptions. For example, if a plan remains viable when loss conditions are tightened a bit, it is likely robust against operational fluctuations. Conversely, plans whose financials or generation forecasts drop significantly with small changes in assumptions should be treated cautiously despite attractive-looking numbers. This perspective is particularly important in agrivoltaics where site conditions vary greatly.

Checking sensitivity to loss factors also clarifies where to focus design attention. In some cases temperature may be the dominant influence; in others partial shading may be decisive. By using PVSyst comparisons to identify the most influential elements first, you can prioritize what to confirm during site surveys and detailed design. This is not merely generation forecasting; it is preparatory work to raise the quality of later stages.

Agrivoltaic projects require translating desk-derived numbers into operable plans. Therefore, sensitivity checks on loss factors are not just a finishing touch but a critical step to verify plan realism. Rather than narrowing assumptions to make numbers look good, perform comparisons with some range and select the schemes that remain viable within that range—those tend to produce stronger agrivoltaic plans.

Summary when using PVSyst for agrivoltaic projects

When using PVSyst to evaluate agrivoltaic projects, it is important not to stop at calculating annual generation but to explore viability by comparing multiple cases. Running simulations from six perspectives—solar shading rate, racking height and row spacing, orientation and tilt angle, installed capacity and oversizing, seasonal generation trends, and sensitivity to loss factors—makes agrivoltaic-specific decision-making easier. It is essential to consider not only the generation side but also farmland usability and the ease of explanation.

In practice, it is more important to avoid missing comparison angles than to set perfect conditions from the start. Agrivoltaic projects involve site conditions, cropping practices, equipment plans, and stakeholder coordination; rather than quickly choosing a single right answer, carefully examining differences among multiple proposals improves eventual accuracy. PVSyst is an excellent foundation for such comparisons, but if you vary the wrong parameters the meaning of the comparison will be weakened.

That is why, in agrivoltaic projects, the focus should be on finding plans that can be continuously operated under realistic conditions rather than on maximizing generation. Simulation results should be refined in iteration with drawings, site checks, and operational assumptions, and should not be considered complete based on numbers alone. Practitioners who want to improve PVSyst evaluation accuracy will find value in carefully constructing the comparative design itself.

As you refine agrivoltaic proposals to match site conditions, it becomes increasingly important to capture not only desk simulations but also site relationships such as relative positions, elevation differences, clearances from existing structures, and actual work routes. In situations where you want to improve the efficiency of site understanding, using iPhone-mounted high-precision GNSS positioning devices like LRTK to enhance positional verification and field condition accuracy makes it easier to link PVSyst comparisons with on-site work. Increasing the resolution of input conditions is indispensable to improve simulation quality; if you want to advance agrivoltaic projects more practically, do not separate analysis from site understanding.