7 Calculation Checks to Assess Solar Power Generation Based on Installation Effects
By LRTK Team (Lefixea Inc.)
Calculating solar power generation is not sufficient by simply determining how many kWh can be generated annually. What becomes important in practice is judging how that generation connects with electricity consumption, daytime load, contracted power, system capacity, the presence or absence of batteries, and the operational setup, and whether it is reasonable as an expected benefit of the installation. Even if the generation figure looks large, if it is concentrated in periods when it cannot be used, the effect will be limited. Conversely, even if the generation itself is modest, if it aligns with daytime power use, it is easier to expect benefits from self-consumption.
In this article, aimed at practitioners searching for "solar power generation calculation", we organize seven calculation checklist items to confirm before installation. Rather than providing a mere estimate of generated power, we explain from a practical viewpoint which figures to examine to judge the benefits of installation, which conditions should be considered separately, and which assumptions are easy to overlook.
Table of Contents
• The calculation of solar power generation should be done by working backward from the expected effects of installation.
• Check 1: Check not only the annual power generation but also the monthly power generation
• Check 2 Confirm the overlap between electricity consumption and power generation
• Check 3 Calculate self-consumption and surplus electricity separately
• Check 4 Do not overestimate electricity cost savings
• Check 5: Verify the suitability of equipment capacity and installation conditions
• Check 6: Include power generation losses and degradation over time in the calculations
• Check 7: Assess effectiveness, including operational verification after implementation.
• Common Mistakes in Solar Power Generation Calculations
• Summary: Organize the power generation calculation so it can explain the effects of implementation.
Calculate solar power generation by working backwards from expected benefits
When calculating photovoltaic generation, in many cases an estimate of annual output is produced based on installed capacity, solar irradiation, tilt angle, azimuth, loss factors, and so on. The basic concept is to reflect local solar conditions and various losses in the installed capacity and estimate the amount of electricity obtained over a given period. This is an important starting point for considering an installation, but if you judge the installation's effectiveness solely by annual generation, actual operation may differ from expectations.
When evaluating the benefits of introducing a power generation system, you need to consider not only "how much power is generated" but also "when it is generated," "how much electricity is being used at that time," "how much of the generated electricity can be consumed on-site," and "how excess electricity is handled." In particular, the timing of electricity use varies greatly by facility — offices, factories, warehouses, stores, and public facilities each have different patterns. Some facilities use electricity steadily during weekday daytime hours, while others have higher usage on weekends or at night. Even with the same amount of generation, the effectiveness of the installation changes depending on how well it matches usage patterns.
For example, even if the calculated annual power generation is large, if a lot of surplus occurs during holidays or low-load periods, the benefits of self-consumption may be smaller than expected. Conversely, even if the annual generation is not that large, if it coincides with daytime air conditioning, lighting, motor-driven equipment, refrigeration and cold storage equipment, charging equipment, etc., it becomes easier to expect reductions in purchased electricity. In other words, power generation calculations are figures that indicate equipment performance and also serve as a basis for evaluation when combined with the facility’s actual electricity usage.
Also, the figures you need to present vary depending on the audience to whom you explain the benefits of implementation. Executives need effects that inform investment decisions; on-site personnel need information on operational burden and ease of inspection; facility managers need details on anomaly detection and daily maintenance; and environmental officers need documentation on electricity consumption and emissions reductions. Therefore, the calculated solar power generation results should not only show “how much will be generated annually,” but should also be organized to explain “what effects that generation will lead to.”
In practice, rather than trying to refine calculation accuracy too much from the outset, it is important first to separate the items needed to judge the benefits of an installation and to make clear which assumptions are being used. There are many conditions that affect power generation, such as equipment capacity, installation area, orientation, tilt, shading, soiling, temperature, conversion losses, downtime, and degradation over time. If you combine all of these into a single number, it becomes difficult to know later where to review. To judge the benefits of an installation, it is essential to present calculation results in a form that can be decomposed and checked.
Check 1: Verify monthly generation, not just annual generation
The first thing I want to confirm is whether you are looking at monthly generation as well as annual generation. Solar power generation trends change with the seasons. Factors such as solar irradiance, hours of sunlight, solar elevation, temperature, weather, and the effects of snow and the rainy season cause month-to-month differences in generation. If you only look at the annual total, it may appear that generation is sufficient, but in practice the months with high electricity consumption may not coincide with the months with high generation.
To evaluate the effectiveness of an installation, it is important to break annual power generation down into 12 months and compare it with the facility’s monthly electricity consumption. For example, at facilities with high air-conditioning loads in summer, it is important to see how much summer generation can meet daytime demand. At facilities with large winter loads such as heating, snow-melting, or hot-water systems, it is necessary to check how much the expected effectiveness would change if winter generation is lower than assumed. Even if the annual total appears sufficient, if generation is insufficient during the periods when it is needed, explanations of the installation’s effectiveness should be given cautiously.
When looking at monthly power generation, you should not simply compare the amounts but also check whether the calculation conditions match the actual site conditions. If the roof or site orientation, surrounding buildings, trees, equipment mounting frames, handrails, chimneys, rooftop structures, adjacent structures, etc. cast shadows, generation may drop only during certain seasons or times of day. In winter, because the sun's altitude is lower, shadows that are usually not a problem can lengthen. Treating such effects as an annual-average loss in aggregate can lead to misinterpretation of monthly generation trends.
Also, for monthly generation calculations, confirm not only the system’s rated (nameplate) capacity but also the capacity that can actually be installed. Even if the roof area appears to have ample space, once inspection walkways, evacuation routes, load conditions, clearances from equipment, maintenance space, and so on are taken into account, the installable capacity may be smaller than assumed. If the installed capacity changes, the monthly generation will also change. If a provisional capacity is used in the initial stage of the calculations, explicitly state that a recalculation will be performed once the installation conditions are finalized, as this will make later explanations easier.
Monthly power generation is also useful for verifying effects after installation. If you have projected monthly values before installation, you can compare them with actual values once operation begins. If only one month shows a significant shortfall, it provides an opportunity to check whether it was caused by weather, equipment downtime, soiling or shading, or faulty data acquisition. To continuously assess the effectiveness of the installation, it is important to set up calculations that can be checked on a monthly basis from the start.
Check 2: Confirm the overlap between electricity consumption and power generation
Next, an important point is whether power generation and electricity consumption overlap by time of day. Solar power generation mainly produces electricity during the daytime, but a facility’s electricity use is not necessarily concentrated in daytime. Calculations of generation tend to emphasize annual or monthly totals, but when considering the impact of an installation, the overlap across time periods is what matters.
For example, in offices, retail stores, and parts of factories, air conditioning, lighting, machinery, ventilation, water supply and drainage, and communications equipment tend to operate during weekday daytime hours, making it easy to use the electricity generated on-site. In such cases, it is easier to anticipate reductions in purchased electricity from solar power generation. On the other hand, in facilities that operate mainly at night or in facilities with low power use during daytime on holidays, demand may be insufficient during generation hours, and surplus power is likely to occur. Because how surplus power is handled affects the benefits of installation, it cannot be judged by simple annual generation alone.
In practice, it is desirable to check electricity consumption at least on a monthly basis, and if possible by time of day, and overlay that with expected generation. Reviewing consumption data provided by the utility, measurement data recorded at the facility, equipment-specific operating hours, and operation calendars makes it easier to understand the overlap between generation and demand. At facilities receiving power at high voltage, depending on the contract and metering setup, consumption data in 30-minute intervals may be available, allowing for a more concrete assessment of expected self-consumption.
When examining the overlap between power generation and consumption, it is also important to check weekdays and holidays separately. Even if daytime demand is high on weekdays, equipment may be shut down on holidays and generated power may not be fully used. For facilities with long holiday periods, year-end and New Year holidays, seasonal shutdowns, or regular closed days, the share of annual generation that can be self-consumed will vary. Even if the annual average looks acceptable, if there is a large holiday surplus, the expected benefits of installation may be lower than anticipated.
Also check whether the time when generation peaks coincides with the facility’s demand peak. If generation increases in the early afternoon while the facility’s electricity-use peaks are concentrated in the morning or evening, some generated power may go unused. Even when combining batteries and control equipment, the effect varies depending on charge/discharge capacity, output, and control strategy. When calculating solar power generation, it is important to examine the relationship between the generation curve and the demand curve and to determine how much of the “time during which the generated electricity can be used” is available.
Checking the overlap between power generation and consumption makes it easier to avoid over-sizing system capacity. The approach of installing as much as can fit on the roof can increase surplus generation and make it harder to explain the benefits of the installation. Conversely, if system capacity is too small for daytime demand, it can be difficult to achieve sufficient reductions. When prioritizing self-consumption, it is important to consider a capacity that matches demand rather than the maximum installable capacity.
Check 3 Calculate self-consumption and surplus electricity separately
To assess the effectiveness of introducing solar power generation, you need to calculate the generated electricity by dividing it into self-consumption and surplus power. Even if the annual generation is the same, the meaning of the introduction effect changes depending on whether the share available for self-consumption is high or the surplus is large. Self-consumption is the amount of generated electricity used directly within the facility. Surplus power is the amount that cannot be used within the facility and flows externally, or that may be curtailed through control.
In solar power generation designed for self-consumption, calculating the amount of self-consumption is central to assessing the benefits of deployment. Self-consumption is considered the portion where generation and consumption overlap in the same time periods. During periods when generation is less than consumption, the generated power is easier to use within the facility. When generation exceeds consumption, the amount above consumption becomes surplus. By aggregating this concept on a monthly and time-of-day basis, you can separately identify self-consumption and surplus electricity.
How surplus electricity is handled has a major impact on assessing the effectiveness of an installation. Whether you assume the surplus will be exported, generation will be curtailed, it will be charged to batteries, or it will be used by other loads changes the required equipment and operations. If calculations show little surplus, it is easier to present a self-consumption–focused explanation. Conversely, if calculations show a large surplus, it may become necessary to review equipment capacity, shift loads, consider battery storage, and establish operational rules.
Do not confuse the self-consumption rate with the self-sufficiency rate. The self-consumption rate is the proportion of generated electricity that is used within the facility. The self-sufficiency rate is the proportion of the electricity consumed by the facility that was supplied by solar power generation. Even if the self-consumption rate is high, the self-sufficiency rate may be low if the installed capacity is small. Conversely, even if the installed capacity is large and the self-sufficiency rate appears high, the self-consumption rate can decrease if there is a large surplus. When explaining the effects of an installation, it is necessary to be clear about which indicator is being used.
When combining battery storage, the way you think about self-consumption changes. By storing surplus electricity generated during the day and using it in the evening and during peak periods, it may be possible to increase self-consumption. However, batteries have constraints such as capacity, output, charge/discharge efficiency, control conditions, degradation, installation space, and operational objectives. It is not necessarily possible to store all surplus electricity. When calculating the effects of an installation that includes batteries, it is necessary to examine solar generation, facility load, battery capacity, and charge/discharge timing separately.
Calculating on-site consumption and surplus electricity separately can also lead to operational improvements after installation. You can consider whether you can shift equipment operation to periods with large surpluses, use it for pre-cooling or pre-heating of air conditioning, or move loads such as water heating or charging to the daytime. By using power generation calculations not just for pre-installation decisions but as material for operational improvements, it becomes easier to enhance the effectiveness of the installation.
Check 4 Do not overestimate electricity bill savings
When explaining the calculated solar power generation as an effect of installation, it is important not to overstate the electricity bill savings. It may look as if you can show the effect simply by multiplying the generated energy by the unit electricity price, but in reality multiple factors are involved, such as contract details, basic charges, energy charges, time-of-use rates, renewable energy-related surcharges, fuel cost adjustments, demand peaks, power factor, contracted capacity, and so on. This article does not deal with prices themselves; however, you need to understand which aspects of the calculation structure are easily overlooked.
First, it should be noted that the total amount of generated electricity does not necessarily translate directly into a reduction in purchased electricity. The portion consumed on-site reduces purchased electricity, but any surplus cannot always be treated the same way. Simply multiplying total generation by a single unit price does not reflect the difference between self-consumed energy and surplus energy. When calculating the effects of an installation, the basic approach is to use the expected amount that can be self-consumed as the basis, not the total generated power.
Next, the effect of reducing electricity bills can vary by time of day. If there is a time-of-use rate structure or defined peak periods, how much you can reduce the amount of electricity purchased during the daytime becomes important. If periods of high power generation coincide with the periods when rates have the greatest impact, it becomes easier to demonstrate the benefits of installation. Conversely, if consumption is low during periods of high generation, the reduction achieved may be less than expected.
Also, the impact on the basic charge and contracted capacity must be handled carefully. Even if solar power generation reduces daytime purchased electricity, depending on how contracted capacity is determined and on the timing of demand peaks, this may not directly lead to a reduction in the basic charge. In particular, at facilities where demand peaks occur in the morning, evening, or at night, solar power generation may not contribute sufficiently to peak reduction. Conversely, at facilities where demand peaks tend to occur during sunny daytime hours, a certain peak-suppression effect can be expected. However, because it is weather-dependent, caution is required when relying on it as a reliable peak reduction.
When explaining the electricity cost reduction effects, it is prudent in practice to check not only best-case conditions but also standard and conservative scenarios. In years with prolonged sunshine, years with low solar irradiance, years with equipment downtime, or years with fluctuating loads, generation output and self-consumption will vary. When using this in business plans or internal approval processes, you should understand not only overly optimistic calculations but also the impact if results fall short.
Moreover, the benefits of installation are not limited to reducing electricity bills. If conditions allow, it may be possible to consider using the system as an emergency power source; other possible objectives for installation include reducing environmental impact, facilitating explanations to internal and external stakeholders, combining it with equipment upgrades, making effective use of roofs and premises, and advancing energy management. However, even when quantifying these items, expressions without basis and overly definitive assertions should be avoided. In calculations of solar power generation, separating effects that can be explained numerically from those organized qualitatively increases the transparency of the adoption decision.
Check 5: Verify the suitability of equipment capacity and installation conditions
System capacity and installation conditions, which serve as the basis for power generation calculations, are also important checkpoints that affect the effectiveness of an installation. While system capacity tends to increase power generation as it grows, poor installation conditions can prevent generation from reaching expected levels. In addition, increasing capacity too much can raise surplus power and reduce the benefits of an installation focused on self-consumption. Rather than simply choosing a large capacity, it is important to confirm the balance between feasible installation conditions and electricity consumption.
For rooftop installations, check the roof surface's orientation, pitch, area, shape, obstructions, loads, condition of deterioration, waterproofing, and inspection and maintenance access. Even if the plan view appears to show sufficient area, in reality there may be outdoor air-conditioning units, ventilation equipment, piping, skylights, lightning protection equipment, handrails, walkways, etc., which can limit the area available for installation. For ground-mounted installations, you also need to check orientation, slope, site preparation conditions, drainage, surrounding shading, weed control, snow accumulation, maintenance access, and the relationship with fences and walkways.
Orientation and tilt affect power generation, but you do not necessarily need to pursue only ideal conditions. In practice, because layouts must be adapted to roof shapes and site conditions, installations are sometimes distributed across surfaces with differing conditions. In such cases, calculating the generation trends separately for each surface makes it easier to verify actual performance after installation. When installing on multiple surfaces, knowing which surface tends to generate power at which times also makes it easier to check for overlap with facility loads.
Shading is an especially easy-to-overlook factor. Not only nearby buildings and trees, but rooftop equipment, adjacent panel rows, racking, and railings can cast shadows. Shadows often occur only during certain times of day, so they can be difficult to grasp from annual average energy production values alone. It is important to check for shadows that occur only in the morning or evening, only in winter, or only in specific months, and to reflect them in energy production calculations as necessary.
Additionally, the appropriateness of installation conditions affects not only power generation but also maintainability. If equipment is forced into locations that are difficult to inspect, it becomes hard to check for dirt, damage, poor connections, inadequate drainage, deterioration of fastenings, and the like. Even if power generation can be increased in the short term, if long‑term operation and maintenance become difficult, the benefits of the installation may decline. When determining system capacity, it is important to consider not only maximum power generation but also ease of inspection, ease of cleaning, and ease of responding to abnormalities.
Check 6 Account for generation losses and degradation over time in calculations
In calculating solar power generation, it is necessary to deduct various losses from the theoretical generation. Major losses include output reduction due to temperature rise, losses during conversion, wiring losses, soiling of the panel surface, shading, snow accumulation, equipment downtime, curtailment, and the effects of installation angle and orientation. Calculations that do not consider these factors risk overstating the actual benefits of installation.
The effects of temperature require particular attention in summer. While solar panels tend to generate more power the more sunlight they receive, their output typically decreases as panel temperature rises. Therefore, even in seasons with high solar irradiance, it is necessary to account for losses caused by temperature increases. Temperature conditions also vary depending on roofing material, installation method, ventilation, and the surrounding environment. In power generation calculations, it is important to anticipate output reductions due to temperature, not just consider simple solar irradiance.
Dirt and snowfall also affect power generation. Dust, pollen, bird droppings, fallen leaves, exhaust, salt in coastal areas, snowfall, and freezing can reduce the amount of sunlight reaching the panel surface. The impact of dirt varies depending on the installation angle, how rain reaches the panels, the surrounding environment, and cleaning frequency. In snowy regions, it is also necessary to consider the period during which snow remains, how easily it slides off, and the risk of snow falling onto surrounding areas. If these factors are not included in calculations when estimating expected performance, the discrepancy with actual results can be large.
Do not forget losses due to equipment stoppages and maintenance. Solar power systems are often installed on the assumption that they will operate stably for long periods, but inspections, repairs, communication failures, protective actions, grid-side issues, equipment replacements, and the like can cause periods when power cannot be generated. If downtime is short, the impact is limited, but if detection of abnormalities is delayed, the loss of generation opportunities can be large. To continuously realize the benefits of the installation, monitoring of power output and a response system for abnormalities are necessary.
Age-related changes are also important when assessing the long-term benefits of an installation. Solar power systems do not maintain their initial performance indefinitely. Panels, power conversion equipment, wiring, mounting structures, connections, and monitoring equipment may require inspection or replacement over time. When calculating generation, it is desirable to anticipate changes in output over multiple years, not just assumptions for the first year. When explaining long-term impacts, considering output degradation with age and the possibility of equipment replacement will lead to a more realistic assessment.
Including generation losses in the calculations makes the expected power output appear conservative at first. However, when deciding whether to proceed, explainable figures are more important than optimistic ones. If you organize the breakdown of generation losses, even if actual performance after installation is lower than anticipated, it becomes easier to determine which factors to check. Power generation calculations not only indicate pre-installation expectations but also serve as post-installation management benchmarks.
Check 7 Assess effectiveness, including post-implementation operational verification
To judge the effectiveness of a solar power installation by its energy production, you need to consider how actual performance will be verified after installation. Calculated generation and actual generation can differ due to weather and operating conditions. The important thing is to be in a position to identify the cause when a discrepancy occurs. If pre-installation calculations and post-installation performance verification are not connected, it becomes difficult to determine whether the system is delivering the expected benefits, whether there is a problem with the equipment, or whether the conditions have changed.
In post-installation checks, we regularly review power generation, purchased electricity, self-consumption, surplus electricity, and equipment operating status. If monthly power generation differs significantly from expectations, we check the weather, shading, soiling, outages, and measurement errors. If self-consumption is lower than expected, we check facility operating hours, holidays, load fluctuations, and the periods when surplus occurs. If the reduction in purchased electricity is smaller than expected, it is necessary to check not only generation but also whether total electricity consumption has increased or whether the timing of demand peaks has shifted.
For operational verification, it is important to record the pre-installation calculation assumptions. Recording the system capacity, installation area, expected power generation, monthly generation, expected self-consumption, loss assumptions, assumptions about shading, the operating calendar, and the period covered by electricity consumption data, etc., makes post-installation comparisons easier. Rather than keeping only the calculation results, it is important to be able to explain why those numbers were obtained.
Also, in post-implementation operations, it is necessary to distill metrics that on-site personnel can easily check. In addition to technical indicators of generation output, organizing month-on-month, year-on-year, comparison to expected values, equipment-by-equipment operational status, and procedures for checks when abnormalities occur will make daily management easier. Even if a drop in generation is noticed, if it is not decided who checks what, response may be delayed. To maintain the benefits of implementation, it is important to treat calculation and operation together rather than separately.
Furthermore, the expected benefits are not something you calculate once and forget. Assumptions change over time — how the facility is used, additional equipment, changes in operating hours, HVAC upgrades or production equipment renewals, increases or decreases in electricity consumption, and so on. Solar power generation calculations should also be reviewed as needed so you can make assessments that better match actual conditions. Pre-installation calculations are for initial decision-making, but by updating them to reflect post-installation actual performance, you can improve the accuracy of energy management.
Common Mistakes in Calculating Solar Power Generation
One common judgment error in calculating solar power generation is assessing the benefits of installation based solely on annual generation. Annual generation is an important metric, but by itself it cannot determine self-consumption, surplus electricity amounts, electricity bill reduction effects, or peak reduction effects. In practice, the temporal overlap between a facility’s electricity consumption and its generation is particularly important. A large annual generation does not necessarily mean a large benefit from installation.
Next most common is the belief that increasing system capacity will proportionally increase the benefits. Increasing system capacity tends to raise power generation, but if capacity becomes excessive relative to demand, surplus increases and the efficiency of self-consumption can decline. If you prioritize the effectiveness of installation, you need to consider not only the maximum capacity that can be installed but also a capacity that matches the facility’s usage. Making effective use of roofs and land is important, but unless you also check how the generated electricity will be utilized, it is insufficient for judging effectiveness.
Also, be careful not to underestimate losses such as shading and soiling. Shading may appear to affect only some panels but can still impact total energy generation. Soiling and snow vary depending on the region and installation conditions. In energy-yield calculations, it is important to reflect site-specific conditions, not just the readily visible equipment capacity and area. Simplifications are acceptable for initial estimates, but when using them for a go/no-go decision, you should verify the assumptions about shading and other losses.
Also, when explaining implementation effects, there are cases where generated electricity, self-consumption, reduction effect, and environmental effect are confused. Generated electricity refers to the amount of electricity produced; self-consumption refers to the amount of electricity used within the facility; reduction effect describes the impact on purchased electricity volume and costs; and environmental effect is an indicator that explains the replacement of consumed electricity. Because these terms have different meanings, treating them as the same number can lead to misunderstandings. In internal briefings and approval documents, it is important to clearly define each indicator.
Calculating without considering post-installation verification of actual performance is also a major operational mistake. No matter how detailed the calculations are before installation, if you don't review actual results after operation begins, you won't know whether the expected effects are being achieved. Monitoring power generation, making month-by-month comparisons, checking during anomalies, and cross-referencing inspection records allow you to identify the gap between calculations and actual performance. To sustain the benefits of an installation over the long term, you need to plan for operational verification from the calculation stage.
Summary: Prepare power generation calculations that can explain the benefits of implementation
To judge the effectiveness of introducing solar power generation, it is important to look not only at an estimate of annual generation but also at monthly generation, usage by time of day, self-consumption, surplus electricity, the connection to electricity bill reductions, installation conditions, generation losses, degradation over time, and post-installation operational checks — viewing these aspects together. Rather than simply assuming that larger generation figures are better, you need to verify whether they match the facility’s actual power usage and how effectively the generated electricity can be used.
When practitioners explain the effects of an introduction internally, it is useful to organize not only "how much electricity will be generated" but also "which consumption that generation will reduce," "how much surplus will be produced," "in which months the effect is most likely to appear," and "under which conditions the effect will decline," so that it can serve as material for decision-making. If calculation assumptions are recorded separately, they can also be used for post‑implementation performance comparisons. Even if there is a gap between assumptions and actual results, it will be easier to identify the causes and to use that insight to improve operations.
Calculating solar power generation is not a task solely for creating pre-installation evaluation materials. It also provides a benchmark for verifying performance after installation, properly managing equipment, and reviewing operations as needed. By visualizing generation, self-consumption, surplus, load, losses, and operation separately, you can assess the effects of the installation more realistically.
Taking into account site conditions and post-installation generation performance, if you want to clearly confirm the benefits of installing solar power generation, it is effective to consider a combination of visualizing generation output, organizing usage data, and conducting regular performance comparisons. By preparing the calculated solar generation results in a form that can be used not only for the installation decision but also for operational improvements, they become easier to use for internal explanations and post-installation management.
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