Energy efficiency measures towards decarbonizing Japanese residential sector: Techniques, application evidence and future perspectives
Improving energy efficiency presents great potential to reduce energy consumption and
carbon emission of building sector. This work summarizes existing technological …
carbon emission of building sector. This work summarizes existing technological …
[HTML][HTML] Heuristic model predictive control implementation to activate energy flexibility in a fully electric school building
This paper presents a heuristic model predictive control (MPC) methodology to activate
energy flexibility in fully electric school buildings in cold climates to reduce electricity …
energy flexibility in fully electric school buildings in cold climates to reduce electricity …
[HTML][HTML] Enhancing energy efficiency and comfort with a multi-domain approach: Development of a novel human thermoregulatory model for occupant-centric control
Abstract Occupant Centric Control (OCC) strategies aims to achieve a more personalized
and comfortable indoor environment, translating occupants' comfort requirements into real …
and comfortable indoor environment, translating occupants' comfort requirements into real …
Data-driven surrogate optimization for deploying heterogeneous multi-energy storage to improve demand response performance at building cluster level
Energy storage such as battery and thermal energy storage is an effective approach to shift
building peak load and alleviate grid stress at a building cluster level. However, due to the …
building peak load and alleviate grid stress at a building cluster level. However, due to the …
Modelling building HVAC control strategies using a deep reinforcement learning approach
Heating, ventilation, and air-conditioning (HVAC) systems are responsible for a
considerable proportion of total building energy consumption but are also vital for improved …
considerable proportion of total building energy consumption but are also vital for improved …
[HTML][HTML] Reinforcement learning for HVAC control in intelligent buildings: A technical and conceptual review
Abstract Heating, Ventilation and Air Conditioning (HVAC) systems in buildings are a major
source of global operational CO 2 emissions, primarily due to their high energy demands …
source of global operational CO 2 emissions, primarily due to their high energy demands …
Building heating load forecasting based on the theory of transient heat transfer and deep learning
Z Shi, R Zheng, R Shen, D Yang, G Wang, Y Liu… - Energy and …, 2024 - Elsevier
Reliable and accurate heating load forecasting can provide comprehensive information for
the monitoring and control of Heating, Ventilation, and Air Conditioning (HVAC) in buildings …
the monitoring and control of Heating, Ventilation, and Air Conditioning (HVAC) in buildings …
[HTML][HTML] Predicting whole-life carbon emissions for buildings using different machine learning algorithms: A case study on typical residential properties in Cornwall, UK
Whole-life carbon emissions (WLCE) studies are critical in assessing the environmental
impact of buildings and promoting sustainable design practices. However, existing methods …
impact of buildings and promoting sustainable design practices. However, existing methods …
[HTML][HTML] Feedback Control in Swedish Multi-Family Buildings for Lower Energy Demand and Assured Indoor Temperature—Measurements and Interviews
D Olsson, P Filipsson, A Trüschel - Energies, 2023 - mdpi.com
Europe needs to save energy, and lowered indoor temperature is frequently promoted as
part of the solution. To facilitate this, heating control systems with feedback from indoor …
part of the solution. To facilitate this, heating control systems with feedback from indoor …
[HTML][HTML] A cost-effective and heuristic approach for building energy consumption prediction: BES model calibration and forecasting algorithm
TK Lee, JU Kim - Energy and Buildings, 2024 - Elsevier
Building energy simulation methods for predicting energy consumption suffer from
limitations, including high costs, time-consuming processes, and significant prediction …
limitations, including high costs, time-consuming processes, and significant prediction …