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When reviewing a solar PV generation simulation, you cannot judge the validity of the forecast by equipment capacity or annual generation alone. The foundation of generation is how much solar irradiation the panels can receive. Even with the same system capacity, generation varies depending on region, season, orientation, tilt, shading, temperature, and surrounding environment. This article explains seven basics for reading irradiation conditions, aimed at practitioners who search for "solar PV generation simulation."


Contents

Why irradiation conditions matter in solar PV generation simulations

Basic 1: Don’t judge by annual irradiation alone

Basic 2: Check monthly irradiation and seasonal variation

Basic 3: Look at how orientation and tilt affect irradiation reception

Basic 4: Account for irradiation reduction from shading

Basic 5: Check temperature and generation decline during high temperatures

Basic 6: Reflect regional characteristics and surrounding environment

Basic 7: Overlay irradiation conditions with on-site self-consumption timeframes

Checkpoints to avoid overestimating irradiation conditions

Accuracy of field information affects interpretation of irradiation conditions

Summary


Why irradiation conditions matter in solar PV generation simulations

The most fundamental condition in a solar PV generation simulation is how much solar irradiation the panels can receive. Even with the same system capacity, places with good and poor irradiation conditions can show large differences in annual generation. Irradiation conditions vary not only with regional climate but also with the installation surface’s orientation, tilt, surrounding shading, seasonal solar altitude, weather, temperature, and surrounding environment.


A common misconception in practice is to assume that larger system capacity will automatically yield sufficient generation. Indeed, capacity is an important factor affecting generation. However, increasing capacity in a location with poor irradiation conditions may not produce generation commensurate with that capacity. Roof surfaces with a lot of shading, unfavorable orientations, or sites surrounded by buildings or trees can see reduced generation efficiency even if capacity is increased.


Reading irradiation conditions is useful not only for predicting generation. It also helps when comparing multiple candidate sites, checking the plausibility of vendor proposals, optimizing system capacity, estimating self-consumption, deciding on battery necessity, and reducing gaps before and after construction. If you can accurately read irradiation conditions, you can more easily judge whether a proposal that appears to generate a lot is truly realistic.


When looking at a solar PV generation simulation, you should confirm not only the annual generation result but also which irradiation conditions produced that generation. By sequentially reviewing irradiation data assumptions, monthly variations, orientation and tilt, shading evaluation, temperature-induced declines, regional characteristics, and the overlap with self-consumption timeframes, you can improve the reliability of the simulation.


Basic 1: Don’t judge by annual irradiation alone

The first basic to grasp when reading irradiation conditions is not to judge by annual irradiation alone. Annual irradiation is an important indicator for understanding how much sunlight a region receives over a year. However, looking only at the annual total does not reveal the true nature of generation because solar power generation fluctuates with season, time of day, weather, and installation conditions.


Even in regions with high annual irradiation, generation will drop if there is a lot of shading around the installation. Conversely, in regions without especially high annual irradiation, an installation surface that faces near south, has little shading, and matches daytime facility demand can deliver high practical benefits. In other words, regional annual irradiation is important, but it alone cannot determine the quality of a project.


In solar PV generation simulations, annual generation is sometimes calculated based on annual irradiation. But if generation appears high, you need to verify why: Is it because the regional irradiation is good, because the system capacity is large, or because shading and generation losses were insufficiently accounted for? It is important to separate these causes.


When comparing proposals from multiple vendors, confirm whether they used consistent irradiation assumptions. If one proposal uses conservative irradiation conditions and another uses optimistic conditions, you cannot directly compare annual generation figures. It is important to check whether differences in generation are due to design or due to differences in irradiation assumptions.


Also, even with the same annual irradiation, the monthly distribution affects how usable generation is. Regions with high irradiation in summer, regions where irradiation drops in winter, or those affected by rainy seasons or persistent cloudiness show different seasonal generation variations. If self-consumption is important, verify whether the months with high generation align with months of high onsite power demand.


Annual irradiation is the entry point for solar PV generation simulations. In practice, however, you should read not only annual totals but also monthly and hourly breakdowns, installation conditions, shading, and generation losses to judge the plausibility of the forecast.


Basic 2: Check monthly irradiation and seasonal variation

The second basic is to check monthly irradiation and seasonal variation. Solar PV does not generate evenly throughout the year. Monthly generation varies significantly due to sunlight hours, solar altitude, weather, temperature, snowfall, and the effects of rainy seasons or typhoons. Even with the same annual generation, differences in monthly breakdown change the appearance of self-consumption and profitability.


Looking at monthly irradiation shows which seasons are likely to have higher generation and which tend to decline. Generally, generation increases from spring to summer, but output can decrease in summer due to higher panel temperatures. Periods with many rainy or cloudy days see reduced irradiation, and in winter shorter sunlight hours and lower solar altitude lead to lower generation.


Winter generation requires particular attention. Low solar altitude in winter causes long shadows from surrounding buildings, trees, rooftop equipment, railings, and penthouses. Shading that is not problematic in summer can fall on panels in winter. If winter generation looks unusually high in monthly breakdowns, there may be insufficient reflection of shading or snowfall effects.


Monthly irradiation is also important to assess compatibility with facility power use. Facilities with large air-conditioning demand in summer benefit from higher summer generation. Conversely, facilities with high heating or production equipment demand in winter can be affected by winter generation declines. Even if annual generation is sufficient, low generation in months with high demand can limit expected electricity savings.


Additionally, reviewing monthly generation helps judge whether system capacity is over- or under-sized. If surplus is concentrated in high-generation months while demand is large in low-generation months, increasing capacity may have limited effect. Conversely, if generation aligns with high-demand months, you can expect stronger self-consumption benefits.


In solar PV generation simulations, it is important to check not only annual totals but also peaks and troughs in monthly generation. Reading monthly irradiation helps you understand regional characteristics, seasonal variation, effects of shading and snowfall, and compatibility with electricity demand.


Basic 3: Look at how orientation and tilt affect irradiation reception

The third basic is to look at how orientation and tilt affect irradiation reception. The direction and angle at which panels are installed greatly change how they receive sunlight. Even in the same region with the same capacity, different orientation and tilt alter annual, monthly, and hourly generation.


Regarding orientation, surfaces facing closer to south tend to yield higher annual generation. However, south-facing is not always the best in practice. East-facing surfaces generate more in the morning; west-facing generate more in the afternoon. If a facility’s power use is skewed to morning or afternoon, east- or west-facing surfaces can be effective for self-consumption.


In simulations, it is important to separate generation by orientation. Viewing the whole roof or site as one aggregated generation number makes it hard to see which surfaces contribute. If you can check generation for south, east, west, north-leaning faces, and flat roof sections separately, you can more easily identify efficient and inefficient surfaces.


Tilt angle also significantly affects irradiation conditions. For roof installations, panels are often installed to match the existing roof pitch, so you may not be able to choose the ideal angle. For flat roofs and ground-mounted installations, you can set the racking angle, but a steeper angle is not always advantageous. Increasing tilt can lengthen row-to-row shading and require wider spacing. Wind, structural load, constructability, and maintainability must also be considered.


Tilt angle influences seasonal generation as well. Different angles may favor summer generation or relatively better winter generation. The evaluation should consider which seasons have the highest facility demand. It is important to view tilt in combination with monthly generation, not just annual totals.


Orientation and tilt are fundamental for reading irradiation conditions. Confirm that the orientations and tilts used in the simulation match actual construction conditions, and compare generation by installation surface as needed to increase the reliability of generation forecasts.


Basic 4: Account for irradiation reduction from shading

The fourth basic is to account for irradiation reduction from shading. In solar PV systems, shading on panels reduces generation. Simulations that do not sufficiently account for shading tend to overestimate generation, creating a large gap with actual generation after installation.


Sources of shading vary by site. For roof projects, surrounding buildings, rooftop equipment, penthouses, railings, piping, exhaust equipment, signs, and antennas can cast shadows. For ground-mounted sites, trees, utility poles, surrounding structures, slopes, terrain elevation differences, and neighboring buildings are shading causes. The impact of shading depends on their positions, heights, and distances to the installation surface.


Shading changes by time of day and season. In the morning, obstacles to the east create shadows; in the evening, obstacles to the west do. Winter’s low solar altitude causes longer shadows. If a site survey is performed in summer, winter shading can be overlooked. In simulations, check how fully winter and morning/evening shading are accounted for.


The effect of shading cannot be judged only by shaded area. The impact on generation varies according to the time of day the shading occurs, panel layout, and electrical connection configuration. Even small shading can cause a large generation drop if it occurs during high-output hours or affects particular strings.


When reading irradiation conditions, it is helpful to compare generation with and without shading. A simulation that shows more conservative generation after including shading may be closer to reality. Conversely, when a site has many shading factors but the generation still looks high, shading may not be properly reflected.


Shading also affects self-consumption. If shading occurs during the facility’s high-demand hours, the reduction in purchased power can be small. For example, if a facility has large morning demand and there is strong east-side shading, both generation and daytime consumption will be affected. When reading irradiation conditions, overlap shading-induced generation declines with facility demand timeframes.


Basic 5: Check temperature and generation decline during high temperatures

The fifth basic is to check temperature and generation decline during high temperatures. Solar PV generates from sunlight, but panel output can drop when panel temperature rises. Therefore, even in summer with high irradiation, generation does not necessarily peak simply because irradiation is high. In simulations, you should check both irradiation and temperature.


Temperature-related generation declines require special attention for roof projects. Rooftops tend to heat up under sunlight, and roof material and ventilation conditions can raise panel temperature. When panels are mounted close to the roof surface with poor ventilation, temperature-induced output declines can be significant. If summer generation is estimated to be extremely high, confirm whether temperature losses are reflected.


Ground-mounted projects also experience temperature and environmental effects. Ground-mounted installations may allow better ventilation, but the installation angle, ground conditions, surrounding airflow, and influence of grass or structures change conditions. In some regions, even with high irradiation, failing to consider high-temperature losses can lead to overestimated generation.


Looking at monthly generation makes temperature effects easier to spot. While summer often yields high generation due to strong irradiation, high temperatures can reduce efficiency. Spring and autumn may have a better balance of irradiation and temperature, producing more stable generation. Check how month-by-month generation appears in the simulation.


Temperature losses may be included within the loss rate. Even if temperature loss is not listed separately in proposal documents, check whether it is included in the overall loss rate. Simulations that do not account for temperature loss or explain it unclearly may optimistically estimate summer generation.


Temperature is unlike visible shading or obstacles and is not easy to intuitively judge on site. However, it certainly affects generation. When reading irradiation conditions, confirm not only whether irradiation is high but also whether high-temperature generation declines are reflected.


Basic 6: Reflect regional characteristics and surrounding environment

The sixth basic is to reflect regional characteristics and the surrounding environment. In simulations, site-specific regional conditions significantly affect generation. Even with the same capacity, orientation, and tilt, generation varies with regional irradiation, weather, snowfall, fog, sea breezes, dust, and surrounding land use.


First, check meteorological conditions as regional characteristics. Regions with frequent cloudiness, those affected by rainy seasons or typhoons, snowfall regions, mountainous or coastal areas will have different annual and monthly generation trends. If the simulation is calculated using broad-area average conditions, it may diverge from the candidate site’s facts.


In snowy regions, you must check winter generation declines. Snow on panels causes periods of no generation. The impact depends on roof pitch, ease of snow shedding, surrounding snow storage space, and ease of snow removal. If winter generation looks unusually high, confirm whether snowfall effects are sufficiently reflected.


Soiling from the surrounding environment is also important. Sites near unpaved areas, facilities that generate dust, close to high-traffic roads, locations with many fallen leaves, or places prone to bird fouling can experience generation declines from panel surface soiling. Rain can wash some dirt away, but residual soiling depends on roof pitch and installation angle.


The surrounding environment may change in the future. Trees grow, neighboring buildings are constructed, rooftop equipment is added, or roads and land use change—these changes affect shading, soiling, and maintainability. It is difficult to predict all future changes, but known plans and likely changes should be considered as simulation assumptions.


When reading irradiation conditions, it is important to check not only regional averages but also the concrete environment around the site. Reflecting regional characteristics and surrounding environment makes simulation generation forecasts closer to reality.


Basic 7: Overlay irradiation conditions with on-site self-consumption timeframes

The seventh basic is to overlay irradiation conditions with on-site self-consumption timeframes. In solar PV generation simulations, it is important not only how much is generated but how much of that generation can be used onsite. If generation hours do not match the facility’s use hours, large generation may just become surplus.


Solar PV mainly generates during daytime. On sunny days, generation begins in the morning, peaks around midday, and declines toward the evening. The generation timeframe also varies with orientation: east-facing favors mornings, west-facing favors afternoons, and south-facing favors midday.


Facility power usage varies by type. Factories and warehouses may run production equipment and air conditioning during the day. Retail stores operate lighting, air conditioning, and refrigeration during business hours. Offices typically have higher weekday daytime demand and lower demand on weekends. Facilities operating mainly at night tend to have a mismatch with PV generation hours.


To overlay irradiation conditions with self-consumption, check hourly generation and usage. When generation is below usage in a given hour, generated power is easily consumed onsite. When generation exceeds usage, the excess becomes surplus. How you handle that surplus affects system capacity and battery requirements.


Monthly overlap is also important. If generation is high in summer and a facility has large air-conditioning demand in summer, self-consumption is easier. Conversely, facilities with large winter demand and weak winter irradiation will see limited purchased power reductions. It is important to confirm not only annual generation but how much usable generation is available each month.


Do not judge only by self-consumption rate. Small system capacity tends to yield a high self-consumption rate but may deliver little absolute self-consumed energy. Large capacity can lower the self-consumption rate while increasing absolute self-consumed energy. By overlaying irradiation conditions with self-consumption, you evaluate usable energy rather than just potential generation.


To use solar PV generation simulations effectively in practice, do not stop at generation figures—link them with facility power usage.


Checkpoints to avoid overestimating irradiation conditions

When reading irradiation conditions, be careful not to overestimate. Even if simulation generation appears large, optimistic irradiation settings can result in a large gap with post-installation generation. To make generation forecasts trustworthy, check factors that reduce generation as well as favorable conditions.


First, check the assumptions behind the irradiation data. Determine whether conditions close to the installation site were used or broad-area averages. If regional characteristics are not well reflected, generation may diverge from reality. In mountainous, coastal, snowy, or fog-prone areas, confirm site-specific condition differences.


Next, check how shading is handled. If surrounding buildings, trees, or rooftop equipment exist but shading-induced generation declines are hardly reflected, be cautious. Winter and morning/evening shading are often overlooked, so check monthly and hourly generation details.


Also check loss rates. The appearance of generation depends on how temperature, wiring, power conversion, soiling, snowfall, and aging are accounted for. Simulations with unrealistically low loss rates tend to show high generation. Confirm whether the loss breakdown is explainable.


Also verify whether installation conditions are realistic. Even if the calculation assumes ideal orientation and tilt, actual roofs or land may not allow such construction. For flat roofs and ground-mounted sites where racking angles are set, row-to-row shading, wind, maintenance access, and constructability must be considered.


To avoid overestimating irradiation conditions, carefully check each simulation assumption, not just the results. Conservative-looking proposals may actually reflect real site conditions well and be closer to post-installation reality. In practice, prefer explainable, realistic generation over optimistic figures.


Accuracy of field information affects interpretation of irradiation conditions

Accurate field information is indispensable for correctly reading irradiation conditions. Solar PV generation simulations are not complete with irradiation data alone. Only when candidate site range, orientations, tilts, shading sources, obstacles, surrounding environment, terrain, and maintenance access are accurately grasped can you approach realistic generation forecasts.


For roof projects, you need accurate roof surface dimensions, orientations, slopes, rooftop equipment, railings, penthouses, piping, drains, inspection hatches, and spatial relationships with surrounding buildings. Equipment not visible on drawings or piping added later can affect shading and installable area. Lack of field information can lead to overestimated generation.


For ground-mounted projects, confirm site boundaries, trees, utility poles, surrounding structures, slopes, elevation differences, drainage channels, maintenance paths, and connection candidate points. If tree or surrounding structure positions are ambiguous, shading evaluation will be inaccurate. If you do not grasp terrain elevation differences or slopes, your assessment of orientation and irradiation conditions will be affected.


Accurate field information makes it easier to evaluate irradiation by installation surface. Knowing which faces generate more in the morning or afternoon or which areas are prone to winter shading helps not only generation forecasts but also self-consumption and capacity decisions.


Field information also helps compare vendor proposals. If you can share the same field conditions with each vendor, you can more easily assess whether generation differences stem from design policy or differing input conditions. When field condition recognition varies, comparing simulation results becomes difficult.


Reading irradiation conditions cannot be completed with desk-based numbers alone. Accurately recording site spatial relationships, obstacles, orientation, tilt, shading, and surrounding environment and reflecting them in simulations increases forecast reliability.


Summary

To read irradiation conditions in solar PV generation simulations, you must comprehensively check not only annual irradiation but also monthly irradiation, orientation, tilt, shading, temperature, regional characteristics, surrounding environment, and self-consumption timeframes. Irradiation conditions are the foundation of generation forecasts; if they are not read correctly, assessments of annual generation, self-consumed energy, surplus energy, and profitability will be unstable.


Basic 1 emphasizes not judging by annual irradiation alone. Annual totals are convenient but do not show seasonal variation, shading, or compatibility with facility demand. Basic 2 covers monthly irradiation and seasonal variation—confirm whether winter shading or snowfall, summer high temperatures, rainy seasons, and cloudiness are reflected in monthly generation. Basic 3 addresses orientation and tilt—evaluate east- and west-facing generation times in addition to south-facing. Basic 4 is about accounting for generation reduction from shading—confirm the seasonal and time-of-day impacts of nearby buildings, rooftop equipment, trees, and terrain.


Basic 5 checks temperature and high-temperature generation declines—high irradiation does not automatically mean peak generation when panel temperature rises. Basic 6 reflects regional characteristics and surrounding environment—check site-specific factors like snowfall, cloudiness, dust, fallen leaves, and bird fouling. Basic 7 overlays irradiation conditions with self-consumption timeframes—assess usable energy rather than just potential generation.


To avoid overestimating irradiation conditions, carefully confirm irradiation data, shading, loss rates, orientation, tilt, and installable area assumptions. The more a simulation shows high generation, the more you need to verify whether its basis is realistic.


Accurate field information forms the foundation for improving the precision of irradiation interpretation. If you can accurately grasp candidate site ranges, rooftop equipment, obstacles, trees, site boundaries, maintenance paths, and surrounding structures, you can clarify simulation assumptions and bring generation forecasts closer to reality.


If you want to improve field data accuracy for recording candidate site ranges, rooftop equipment, obstacles, trees, site boundaries, maintenance paths, and surrounding structures to raise the precision of irradiation interpretation in solar PV generation simulations, using an iPhone-mounted high-precision GNSS positioning device such as LRTK is effective. High-precision on-site positioning makes it easier to organize shading and obstacles, orientation, installable ranges, wiring routes, and maintenance access, facilitating consistent progress from vendor proposal comparison to pre-construction checks and post-installation maintenance management. To correctly read irradiation conditions in solar PV generation simulations, it is important to establish a system to accurately grasp the field, not rely solely on desk-based irradiation data.


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