Conceptualizing sustainable offshore operations: integration of renewable energy systems
Osayi Philip Igbinenikaro,
Oladipo Olugbenga Adekoya,
Emmanuel Augustine Etukudoh
и другие.
International Journal of Frontiers in Science and Technology Research,
Год журнала:
2024,
Номер
6(2), С. 031 - 043
Опубликована: Апрель 13, 2024
This
paper
conceptualizes
sustainable
offshore
operations
through
the
integration
of
renewable
energy
systems,
focusing
on
adoption
solar-powered
systems
for
remote
applications.
Drawing
Osayi's
experience
in
this
field,
proposes
frameworks
operations,
highlighting
key
considerations
and
strategies
successful
implementation.
The
is
essential
reducing
environmental
impact,
increasing
efficiency,
ensuring
long-term
sustainability.
with
applications
provides
valuable
insights
into
challenges
opportunities
associated
integration.
proposed
encompass
several
elements.
Firstly,
a
thorough
assessment
needs
resources
to
determine
feasibility
potential
benefits
integrating
systems.
Secondly,
careful
planning
design
are
crucial
ensure
that
integrated
seamlessly
existing
taking
account
factors
such
as
location,
demand,
system
compatibility.
Furthermore,
highlights
importance
stakeholder
engagement
collaboration
Effective
communication
between
industry
stakeholders,
regulators,
local
communities
overcoming
barriers
implementation
projects
operations.
Overall,
drawing
By
companies
can
reduce
their
carbon
footprint,
improve
contribute
more
future
industry.
Язык: Английский
Emerging underwater survey technologies: A review and future outlook
Osayi Philip Igbinenikaro,
Oladipo Olugbenga Adekoya,
Emmanuel Augustine Etukudoh
и другие.
Open Access Research Journal of Science and Technology,
Год журнала:
2024,
Номер
10(2), С. 071 - 084
Опубликована: Апрель 12, 2024
Emerging
underwater
survey
technologies
are
revolutionizing
the
way
we
explore
and
understand
world.
This
review
examines
latest
advancements
in
equipment,
highlighting
their
operational
benefits
potential
areas
for
future
development.
Recent
developments
have
led
to
significant
improvements
accuracy,
efficiency,
data
quality.
Advanced
sonar
systems,
such
as
multibeam
sidescan
sonars,
provide
high-resolution
images
of
seafloor,
allowing
detailed
mapping
features.
Autonomous
vehicles
(AUVs)
equipped
with
sophisticated
sensors
cameras
enable
precise
collection
challenging
environments,
deep-sea
or
complex
structures.
The
these
vast.
They
allow
faster
surveying,
reduced
costs,
improved
safety
personnel.
Additionally,
high-quality
obtained
from
surveys
can
lead
better
decision-making
various
industries,
including
offshore
energy,
marine
research,
archaeology.
Looking
ahead,
is
promising.
There
a
growing
interest
developing
integrated
systems
that
combine
multiple
processing
capabilities
more
comprehensive
view
environments.
Artificial
intelligence
machine
learning
algorithms
also
being
increasingly
utilized
analyze
large
datasets
extract
valuable
insights.
However,
several
challenges
remain,
need
communication
battery
life
autonomous
vehicles,
enhanced
capabilities.
Addressing
will
be
crucial
continued
advancement
technologies.
In
conclusion,
offer
exciting
opportunities
enhancing
our
understanding
By
leveraging
addressing
key
challenges,
unlock
new
possibilities
exploration
research.
Язык: Английский
A comparative review of subsea navigation technologies in offshore engineering projects
Osayi Philip Igbinenikaro,
Oladipo Olugbenga Adekoya,
Emmanuel Augustine Etukudoh
и другие.
International Journal of Frontiers in Engineering and Technology Research,
Год журнала:
2024,
Номер
6(2), С. 019 - 034
Опубликована: Апрель 13, 2024
Subsea
navigation
technologies
play
a
critical
role
in
enhancing
precision
and
efficiency
offshore
engineering
projects.
This
comparative
review
examines
the
evolution
application
of
subsea
systems,
with
focus
on
improving
construction
surveying.
The
study
evaluates
various
technologies,
including
acoustic
positioning
inertial
optical
imaging
highlighting
their
capabilities
limitations.
begins
by
discussing
historical
development
tracing
from
early
systems
to
modern
integrated
solutions.
It
then
explores
key
components
operation
principles
each
technology,
providing
insights
into
functionalities
suitability
for
different
applications.
also
challenges
advancements
navigation,
issues
related
signal
interference,
accuracy,
real-time
data
processing.
discusses
how
these
have
been
addressed
through
technological
innovations,
such
as
improved
sensor
advanced
fusion
algorithms.
Furthermore,
assesses
practical
projects,
pipeline
installation,
infrastructure
maintenance,
underwater
analyzes
case
studies
industry
practices
illustrate
effectiveness
precision,
reducing
costs,
mitigating
risks
operations.
Overall,
this
provides
comprehensive
overview
highlights
evolution,
capabilities,
applications
emphasizing
concludes
recommendations
future
research
further
improve
performance
reliability
Язык: Английский
The Role of Smart Grid Technologies in Urban and Sustainable Energy Planning
Energies,
Год журнала:
2025,
Номер
18(7), С. 1618 - 1618
Опубликована: Март 24, 2025
Traditional
centralized
energy
grids
struggle
to
meet
urban
areas’
increasingly
complex
demands,
necessitating
the
development
of
more
sustainable
and
resilient
solutions.
Smart
microgrids
offer
a
decentralized
approach
that
enhances
efficiency,
facilitates
integration
renewable
sources,
improves
resilience.
This
study
follows
systematic
review
approach,
analyzing
literature
published
in
peer-reviewed
journals,
conference
proceedings,
industry
reports
between
2011
2025.
The
research
draws
from
academic
publications
institutions
alongside
regulatory
reports,
examining
actual
smart
microgrid
deployments
San
Diego,
Barcelona,
Seoul.
Additionally,
this
article
provides
real-world
case
studies
New
York
London,
showcasing
successful
unsuccessful
deployments.
Brooklyn
Microgrid
demonstrates
peer-to-peer
trading,
while
London
faces
regulations
funding
challenges
its
systems.
paper
also
explores
economic
policy
frameworks
such
as
public–private
partnerships
(PPPs),
localized
markets,
standardized
models
enable
adoption
at
scale.
While
PPPs
provide
financial
infrastructural
support
for
deployment,
they
introduce
stakeholder
alignment
compliance
complexities.
Countries
like
Germany
India
have
successfully
used
development,
leveraging
low-interest
loans,
government
incentives,
mechanisms
encourage
innovation
technologies.
In
addition,
examines
new
trends
utilization
AI
quantum
computing
optimize
energy,
climate
design
before
outlining
future
agenda
focused
on
cybersecurity,
decarbonization,
inclusion
technology.
Contributions
include
modular
scalable
framework,
innovative
hybrid
storage
systems,
performance-based
model
suited
environment.
These
contributions
help
fill
gap
what
is
possible
today
needed
systems
create
foundation
cities
next
century.
Язык: Английский
Insurance and Risk Management Solutions for Assisting Adaptation to Climate Change
Advances in African economic, social and political development,
Год журнала:
2025,
Номер
unknown, С. 133 - 154
Опубликована: Янв. 1, 2025
Язык: Английский
Urban Intelligence
Advances in computational intelligence and robotics book series,
Год журнала:
2024,
Номер
unknown, С. 59 - 90
Опубликована: Окт. 25, 2024
In
the
rapidly
evolving
landscape
of
urbanization,
cities
face
unprecedented
challenges
due
to
climate
change.
As
frontline
battlegrounds
against
global
warming,
urban
areas
increasingly
rely
on
AI
bolster
resilience
and
sustainability.
This
chapter
explores
AI's
role
in
shaping
resilience,
drawing
from
research
real-world
applications.
revolutionizes
modeling,
using
vast
datasets
machine
learning
create
predictive
models
that
anticipate
mitigate
impacts
like
extreme
weather
sea-level
rise,
enabling
proactive
planning.AI
also
enhances
smart
infrastructure
resource
management,
optimizing
energy
use,
water
resources,
transportation
minimize
ecological
footprints.
Through
real-time
monitoring
adaptive
systems,
can
respond
environmental
changes,
ensuring
resilience.
democratizes
decision-making
by
empowering
citizen
participation
efforts.
Open
data,
cross-sector
partnerships,
collaborative
drive
innovation,
accelerating
transition
climate-resilient
futures.
Язык: Английский
Leveraging Machine Learning to Enhance Information Exploration
SSRN Electronic Journal,
Год журнала:
2024,
Номер
unknown
Опубликована: Янв. 1, 2024
Язык: Английский
Leveraging Machine Learning to Enhance Information Exploration
Machine Learning and Applications An International Journal,
Год журнала:
2024,
Номер
11(2), С. 17 - 27
Опубликована: Июнь 28, 2024
Machine
learning
algorithms
are
revolutionizing
intelligent
search
and
information
discovery
capabilities.
By
incorporating
techniques
like
supervised
learning,
unsupervised
reinforcement
deep
systems
can
automatically
extract
insights
patterns
from
vast
data
repositories.
Natural
language
processing
enables
deeper
comprehension
of
text,
while
image
recognition
unlocks
knowledge
visual
data.
powers
personalized
recommendation
engines
accurate
sentiment
analysis.
Integrating
graphs
enriches
machine
models
with
background
for
enhanced
accuracy
explainability.
Applications
span
voice
search,
anomaly
detection,
predictive
analytics,
text
mining,
clustering.
However,
interpretable
AI
crucial
enabling
transparency
trustworthiness.
Key
challenges
include
limited
training
data,
complex
domain
requirements,
ethical
considerations
around
bias
privacy.
Ongoing
research
that
combines
representation,
human-centered
design
will
advance
discovery.
The
collaboration
between
artificial
human
intelligence
holds
the
potential
to
revolutionize
access
acquisition.
Язык: Английский
Eco-Intelligence
Advances in environmental engineering and green technologies book series,
Год журнала:
2024,
Номер
unknown, С. 31 - 62
Опубликована: Ноя. 1, 2024
This
chapter,
titled
“Eco-Intelligence:
AI's
Contribution
to
a
Sustainable
World,”
explores
the
significant
influence
of
artificial
intelligence
(AI)
on
environmental
sustainability.
The
text
examines
impact
AI
in
several
areas
such
as
climate
change
mitigation,
biodiversity
protection,
smart
agriculture,
urban
sustainability,
and
circular
economy
projects.
chapter
focuses
use
predictive
modeling
for
scenarios,
optimization
renewable
energy
systems,
real-time
monitoring
emissions.
These
applications
together
contribute
reduction
greenhouse
gas
emphasis
conservation
is
skills
species
identification,
habitat
mapping,
anti-poaching
initiatives.
also
augmenting
precision
farming,
boosting
crop
monitoring,
managing
sustainable
fisheries.
integration
technology
revolutionizes
planning
waste
management
by
enhancing
resource
efficiency.
Язык: Английский