Dynamic numerical modeling and performance assessment of a hybrid photovoltaic thermal collector adsorption desalination system for sustainable water-energy nexus
Solar Energy,
Год журнала:
2025,
Номер
292, С. 113441 - 113441
Опубликована: Март 30, 2025
Язык: Английский
Hierarchical Power Output Prediction for Floating Photovoltaic Systems
Energy,
Год журнала:
2025,
Номер
unknown, С. 135883 - 135883
Опубликована: Март 1, 2025
Язык: Английский
Constraints to Energy Transition in Metropolitan Areas: Solar Potential, Land Use, and Mineral Consumption in the Metropolitan Area of Madrid
Urban Science,
Год журнала:
2025,
Номер
9(4), С. 125 - 125
Опубликована: Апрель 15, 2025
Amidst
the
backdrop
of
fossil
fuel
energy
crisis,
development
renewable
sources
is
experiencing
an
unprecedented
acceleration
in
Spain
and
focusing
metropolitan
areas.
This
study
investigates
potential
for
photovoltaic
Spanish
areas,
specifically
Madrid
its
surrounding
region.
Recognizing
inherent
challenges
land
use
material
scarcity
associated
with
this
development,
research
aims
to
quantify
achievable
capacity
less
environmental
impact
region,
along
corresponding
occupation
consumption
requirements.
A
Material
Flow
Analysis
(MFA)
methodology
employed
project
these
parameters
2050.
The
analysis
estimates
a
production
32,163
GWh/year,
representing
79.46%
projected
electricity
2050
(and
41.32%
final
consumption).
would
necessitate
utilization
32,169
hectares
(4.01%
regional
area),
7139
rooftop
space.
Critically,
48%
suitable
agricultural
land,
9%
forest,
38%
grassland
scrubland
5%
corresponds
other
uses.
highlighting
land-use
competition.
Furthermore,
extrapolates
requirements
global
scale,
estimating
percentage
mineral
reserves
required
comparable
transition.
yields
estimate
0.66%
aluminum,
14.49%
copper,
33.13%
silver.
These
findings
provide
crucial
insights
into
geographical
constraints
impacting
feasibility
urban
transitions.
Язык: Английский
Environmental and Energy Performance Analyses of HVAC Systems in Office Buildings Using Boosted Ensembled Regression Trees: Machine Learning Strategy for Energy Saving of Air Conditioning and Lighting Facilities
Process Safety and Environmental Protection,
Год журнала:
2025,
Номер
unknown, С. 107214 - 107214
Опубликована: Апрель 1, 2025
Язык: Английский