Energy performance assessment of a novel enhanced solar thermal system with topology optimized latent heat thermal energy storage unit for domestic water heating
In this study, we introduce an innovative approach by incorporating a Topology-Optimized
Latent Heat Thermal Energy Storage (TO-LHTES) unit with fins into a solar water heating …
Latent Heat Thermal Energy Storage (TO-LHTES) unit with fins into a solar water heating …
[HTML][HTML] Digital workflow for nearly zero-energy high-rise office building design optimization at the district scale in Mediterranean context
While the implementation of sustainable urban planning has proven to be one of the primary
goals to reduce the climate change impact, the rapid adoption of nearly Zero Energy …
goals to reduce the climate change impact, the rapid adoption of nearly Zero Energy …
Energy and hygrothermal performance investigation and enhancement of rammed earth buildings in hot climates: From material to field measurements
This paper presents the experimental testing and field evaluation of the hygrothermal
performances of stabilized Rammed Earth (RE) from material–to building–scale level …
performances of stabilized Rammed Earth (RE) from material–to building–scale level …
Advanced predictive maintenance and fault diagnosis strategy for enhanced HVAC efficiency in buildings
Variable refrigerant flow (VRF) systems are constantly prone to failures during their lifespan,
causing breakdowns, high energy bills, and indoor discomfort. In addition to correctly …
causing breakdowns, high energy bills, and indoor discomfort. In addition to correctly …
Improved Drycooler control by custom hybrid controller
M Borkowski, AK Piłat - Control Engineering Practice, 2024 - Elsevier
Refrigeration devices designed for use in industrial environments are typically equipped
with universal control algorithms, which require a minimal number of signals and parameters …
with universal control algorithms, which require a minimal number of signals and parameters …
Towards Sustainable Buildings: Predictive Modeling of Energy Consumption with Machine Learning
Z ZOUBIR, ERR Houda, ESS Niima, A SOULDI… - Procedia Computer …, 2024 - Elsevier
The building sector's energy consumption remains a significant problem, requiring the
development of powerful energy management systems to improve energy efficiency. The …
development of powerful energy management systems to improve energy efficiency. The …
Prediction of energy production in a building-integrated photovoltaic system using machine learning algorithms
Z ZOUBIR, ESS Niima, ERR Houda… - Procedia Computer …, 2024 - Elsevier
Globally, the building sector is a significant consumer of energy. Implementing effective
energy management system (EMS) strategies is crucial for reducing energy consumption …
energy management system (EMS) strategies is crucial for reducing energy consumption …