Optimizing energy efficiency and thermal comfort in building green retrofit
Q Li, L Zhang, L Zhang, X Wu - Energy, 2021 - Elsevier
Building green retrofit offers significant opportunities for enhancing energy efficiency and
achieving green development goals. However, a conflicting criterion exists between energy …
achieving green development goals. However, a conflicting criterion exists between energy …
[HTML][HTML] An Overview of Emerging and Sustainable Technologies for Increased Energy Efficiency and Carbon Emission Mitigation in Buildings
The building sector accounts for a significant proportion of global energy usage and carbon
dioxide emissions. It is important to explore technological advances to curtail building …
dioxide emissions. It is important to explore technological advances to curtail building …
A review on cooling performance enhancement for phase change materials integrated systems—flexible design and smart control with machine learning applications
Climate-adaptive design, smart control, latent thermal storages, multi-dimensional
uncertainty analysis, and multi-objective optimisations are effective solutions for cooling …
uncertainty analysis, and multi-objective optimisations are effective solutions for cooling …
Machine-learning based hybrid demand-side controller for high-rise office buildings with high energy flexibilities
The accurate demand prediction with high efficiency and advanced demand-side controller
are essential for the enhancement of energy flexibility provided by buildings, whereas the …
are essential for the enhancement of energy flexibility provided by buildings, whereas the …
Development and application of linear ventilation and temperature models for indoor environmental prediction and HVAC systems control
C Ren, SJ Cao - Sustainable Cities and Society, 2019 - Elsevier
It has been of great importance to develop better control techniques for heating, ventilation
and air conditioning (HVAC) systems to provide occupancy driven energy and comfort …
and air conditioning (HVAC) systems to provide occupancy driven energy and comfort …
Short-term power prediction for photovoltaic power plants using a hybrid improved Kmeans-GRA-Elman model based on multivariate meteorological factors and …
With the continuous consumption of fossil fuels such as coal, oil and natural gas, the
environmental energy problem has become the focus of attention in the world. The utilization …
environmental energy problem has become the focus of attention in the world. The utilization …
Optimization on fresh outdoor air ratio of air conditioning system with stratum ventilation for both targeted indoor air quality and maximal energy saving
Stratum ventilation can energy efficiently provide good inhaled indoor air quality with a
proper operation (eg, fresh outdoor air ratio). However, the non-uniform CO 2 distribution in …
proper operation (eg, fresh outdoor air ratio). However, the non-uniform CO 2 distribution in …
Novel demand-controlled optimization of constant-air-volume mechanical ventilation for indoor air quality, durability and energy saving
Demand-controlled ventilation (DCV) is widely used for the energy-efficient provision of
indoor air quality. However, existing DCV requires a continuously variable airflow rate, and …
indoor air quality. However, existing DCV requires a continuously variable airflow rate, and …
Bibliometric analysis of zero energy building research, challenges and solutions
YS Agbodjan, J Wang, Y Cui, Z Liu, Z Luo - Solar Energy, 2022 - Elsevier
Abstract Zero Energy Building (ZEB) is gaining more attention as a solution to significantly
mitigate the environment concerns. However, a bibliometric analysis of the topic, a very …
mitigate the environment concerns. However, a bibliometric analysis of the topic, a very …
Machine-learning based study on the on-site renewable electrical performance of an optimal hybrid PCMs integrated renewable system with high-level parameters' …
The uncertainty and sensitivity analyses for multivariables of the optimal system based on
deterministic parameters are necessary, as multivariables are full of uncertainties in the real …
deterministic parameters are necessary, as multivariables are full of uncertainties in the real …