Automated rooftop solar
cleaning — built for dust,
humidity, and winter
SunShiner automates routine rooftop cleaning in climates where manual access is expensive, inconsistent, or unsafe. Keep performance stable without water logistics and recurring roof work permits.
Predictable routines
Dust / humidity / snow
Rooftop-safe operation
Lower HSE exposure
Subscription model
Waterless dry cleaning
Automated rooftop solar
cleaning — built for dust,
humidity, and winter
SunShiner automates routine rooftop cleaning in climates where manual access is expensive, inconsistent, or unsafe. Keep performance stable without water logistics and recurring roof work permits.
Predictable routines
Dust / humidity / snow
Rooftop-safe operation
Lower HSE exposure
Subscription model
Waterless dry cleaning
Subscription
Cleaning frequency and service
are matched to roof size and site
conditions in a monthly plan.
Predictable O&M
Less roof work
Automation minimizes repeated rooftop
access, permits, and manual cleaning
operations.
HSE risk reduction
Consistent output
Routine automated cleaning reduces variance
caused by climate-driven soiling and seasonal
events.
Performance stability
Subscription
Cleaning frequency and service
are matched to roof size and site
conditions in a monthly plan.
Predictable O&M
Less roof work
Automation minimizes repeated rooftop
access, permits, and manual cleaning
operations.
HSE risk reduction
Consistent output
Routine automated cleaning reduces
variance caused by climate-driven
soiling and seasonal events.
Performance stability
Subscription delivery solves the planning gap: routine frequency,
service windows, and maintenance are standardized for each
roof size and layout.
Manual rooftop cleaning is operationally heavy: safety procedures,
access coordination, and inconsistent coverage make it difficult
to execute at scale.
Rooftop solar is often treated as a set-and-forget asset, but climate
exposure makes performance drift unavoidable. Dust, coastal humidity,
seasonal rain residue, and winter events accumulate into losses that
are rarely cleaned at the frequency needed for stable KPIs.
Why cleaning rooftop PV
Rooftop PV underperforms
quietly — until it becomes
an operational issue
Subscription service keeps rooftop PV
maintenance predictable, with fixed
cleaning frequency, planned service
windows, and standardized coverage
for each roof layout.
Manual cleaning is difficult to scale:
roof access, safety procedures,
and inconsistent coverage
make planning unreliable.
Rooftop solar is rarely a set-and-forget
asset. Dust, humidity, rain residue,
and seasonal weather gradually
reduce output — often before losses
are visible in KPI reports.
Why cleaning rooftop PV
Rooftop PV loses performance
before it becomes visible
A single rooftop PV cleaning system
for different climate challenges
Outcome:
Automated routines stabilize surface condition and reduce variability
in performance reporting.
Humidity turns dust into stubborn residue
Moisture combined with dust can form residue that is harder to remove consistently.
Uneven surface condition increases mismatch across strings and arrays.
Manual cleaning quality varies by crew, timing, and access conditions.
Outcome:
Frequent automated dry cleaning prevents loss build-up and keeps output closer
to expected generation.
Dust builds up fast after events
Fine dust accumulates gradually and spikes after wind-driven events.
Water and labour logistics limit achievable cleaning frequency on rooftops.
Losses build up between cleanings and remain invisible in day-to-day operations.
Outcome:
Automated clearing supports earlier recovery after snowfall events
and more predictable winter operations.
Snow can block generation completely
After snowfall, PV rows may be fully covered, causing immediate production losses.
Recovery depends on weather rather than operational control.
Manual clearing is slow and safety-intensive on rooftops during winter conditions.
A single rooftop PV cleaning system for different climate challenges
Outcome:
Automated routines stabilize surface
condition and reduce variability
in performance reporting.
Humidity turns dust into
stubborn residue
Moisture combined with dust can
form residue that is harder to
remove consistently.
Uneven surface condition increases
mismatch across strings and arrays.
Manual cleaning quality varies by
crew, timing, and access conditions.
Outcome:
Frequent automated dry cleaning
prevents loss build-up and keeps
output closer to expected generation.
Dust builds up fast after events
Fine dust accumulates gradually
and spikes after wind-driven events.
Water and labour logistics limit
achievable cleaning frequency
on rooftops.
Losses build up between cleanings
and remain invisible in day-to-day
operations.
Outcome:
Automated clearing supports earlier
recovery after snowfall events and more
predictable winter operations.
Snow can block generation completely
After snowfall, PV rows may be fully
covered, causing immediate
production losses.
Recovery depends on weather rather
than operational control.
Manual clearing is slow and
safety-intensive on rooftops during
winter conditions.
SunShiner for rooftops
For rooftops, the system is deployed as a subscription service:
sizing, cleaning frequency, maintenance and replacements
are bundled into a predictable monthly O&M model.
SunShiner removes recurring rooftop cleaning from manual
operations. It is engineered for repeatable results and operational
stability — not one-off deep cleans.
automated, waterless, designed
for predictable routines
Subscription sizing
Roof size, PV layout, and climate define
the plan — with a predictable monthly
cost instead of irregular service calls.
Rooftop-safe approach
Less foot traffic and fewer repeated HSE
procedures, permits, and access constraints.
Automated routines
Cleaning runs on schedule without manual
deployment or recurring crew coordination.
SunShiner for rooftops
For rooftops, the system is deployed
as a subscription service: sizing,
cleaning frequency, maintenance
and replacements are bundled into
a predictable monthly O&M model.
SunShiner removes recurring rooftop
cleaning from manual operations. It is
engineered for repeatable results and
operational stability — not one-off
deep cleans.
automated, waterless, designed
for predictable routines
Subscription sizing
Roof size, PV layout, and climate define
the plan — with a predictable monthly
cost instead of irregular service calls.
Rooftop-safe approach
Less foot traffic and fewer repeated HSE
procedures, permits, and access constraints.
Automated routines
Cleaning runs on schedule without manual
deployment or recurring crew coordination.
Commercial and industrial rooftops where
manual cleaning is hard to schedule and hard
to scale.
Use cases
Where rooftop automation
makes the biggest difference
Commercial and industrial rooftops
where manual cleaning is hard to
schedule and hard to scale.
Use cases
Where rooftop automation
makes the biggest difference
Restricted or difficult access sites
Roofs with strict HSE, limited permits,
or remote operations. Less exposure
and fewer interventions.
Commercial rooftops
Malls, office clusters, mixed-use assets.
Predictable routines that reduce operational
friction.
Large industrial rooftops
Warehouses, factories, logistics facilities.
Stable output without recurring rooftop
crew deployment.
SunShiner Roof / routines
Predictable schedule aligned with operations
Reduced rooftop work exposure
Consistent, repeatable cleaning coverage
No water logistics for routine cleaning
Subscription model with monthly O&M
Manual / typical
High labour coordination
High recurring scheduling overhead
Roof access, permits, and safety procedures
Variable coverage and quality
Hard to keep frequency high enough for stable KPIs
Manual rooftop cleaning
vs automated routines
A predictable cleaning model reduces operational
overhead and improves reporting stability.
SunShiner Roof / routines
Predictable schedule aligned with operations
Reduced rooftop work exposure
Consistent, repeatable cleaning coverage
No water logistics for routine cleaning
Subscription model with monthly O&M
Manual / typical
High labour coordination
High recurring scheduling overhead
Roof access, permits, and safety procedures
Variable coverage and quality
Hard to keep frequency high enough for stable KPIs
Manual rooftop cleaning
vs automated routines
A predictable cleaning model reduce
operational overhead and improves
reporting stability.
Request a rooftop
subscription assessment
Share your roof type, PV layout, and climate conditions.
We will recommend the cleaning approach, define
a subscription plan (frequency + service), and outline
operational routines.
Request a rooftop
site assessment
Share your roof type, PV layout, and
climate conditions. We will recommend
the cleaning approach,
and outline operational routines.