Showing papers in "Energy and Buildings in 2023"

TL;DR: In this paper , an overview of phase change materials (PCMs) classifications and the most available and commonly used types, PCMs' disadvantages and the provided solutions for thermal properties, safety, and cost issues, the effectiveness of adding PCMs into building construction elements, PCM incorporation methods as a solution for PCMs being in the liquid state, and PCMs thermo-physical properties with the provided enhancement techniques.

TL;DR: In this article , the phase change heat storage asphalt mixtures are prepared by the equal volume replacements of limestone filler with PUSSPCM, which can improve the hightemperature stability and low-temperature cracking resistance whereas weaken the water stability of an asphalt mixture.

TL;DR: In this paper , the performance of buildings in terms of occupant comfort is evaluated using a probabilistic model based on Bayesian networks (BNs), which is based on an in-depth analysis of satisfaction survey responses and a thorough study of building performance parameters.

TL;DR: Li et al. as discussed by the authors proposed a new urban building energy modeling tool, Automated Building Performance Simulation (AutoBPS), to calculate urban building demands and to analyze energy retrofit and rooftop photovoltaic (PV) potential.

TL;DR: In this paper , the authors present a bibliometric review of the history and evolution of Urban Heat Mitigation and Adaptation (UHMA) from 1989 to 2021 to identify its research progress, knowledge gaps, and future research directions.

TL;DR: In this article , a computable general equilibrium (CGE) model was employed, and different energy-saving technology scenarios were established to assess the economic and environmental impacts on three related energy-intensive industries (the cement, steel and construction industries) and to analyze the impacts on the embodied carbon emissions in the building sector.

TL;DR: In this article , the authors provide insights to answer these questions based on a comprehensive and critical review of worldwide open datasets and their applications in the built environment context, and significant conclusions are made to support the proper disclosure of city-level building energy data.

TL;DR: In this article , the authors developed a modeling framework to assess the potential of energy communities by combining Urban Buildings Energy Modelling (UBEM) capabilities and building's rooftops potential for solar generation.

TL;DR: Wang et al. as discussed by the authors analyzed the historical development of green building governance in China and unearths solutions for future policy development, and provided a valuable reference for improving policy system to promote green building in other countries and regions.

TL;DR: In this article , a square in Rome was experimentally and numerically investigated to assess a potential remedy for reducing outdoor air temperatures, and several types of mitigation scenarios were looked at in order to lessen the area's warming and analyze the impacts of the recommended remedies on decreasing air temperature.

TL;DR: Li et al. as mentioned in this paper proposed an improved Layer-wise Relevance Propagation (ImLRP) method for interpreting CNN FD models in building heating, ventilation, and air conditioning (HVAC) systems.

TL;DR: In this article , a digital twin solution is presented to automate the monitoring and controlling of equivalent carbon dioxide (eCO2) emissions from existing assets through the integration of IoT, BIM, and artificial intelligence across a comprehensive solution, further validating its workability through a real-life use case analysis.

TL;DR: In this paper , a detailed literature review and bibliometric analysis of the determinants of EERs was conducted to better understand the scope and evolution of knowledge in this area.

TL;DR: In this paper , the effects of double-glazing, black walls and black carpeted floors, and insulation material on the thermal efficiency of residential balconies in the cold seasons of the year were investigated.

TL;DR: In this article , a critical review of various evaporative cooling systems along with their recent developments is presented and discussed, and a comparison of the performance of selected evaporation cooling system are discussed further.

TL;DR: In this article , the authors discussed the usefulness of using the time-varying CO2 intensity of electricity in building design, and the low-carbon impacts of improved façade performance were compared using case studies with a generic office model.

TL;DR: In this paper , the authors proposed a new design approach to optimize daylight in industrial heritage buildings by integrating manual and SPEA-2 optimization algorithms, and the results showed that the efficiency of the recommended model has been improved by a 63.43% reduction of DA compared to the base case.

TL;DR: In this paper , a home energy management system based on a mixed-integer linear programming (MILP)-based model predictive control is presented, which takes advantage of the powerful formulation capabilities of a MILP-based mathematical programming problem to optimize, at each sample instant the HEMS operation using a receding-horizon formulation.

TL;DR: In this article , an electricity forecasting method based on empirical mode decomposition (EMD) and bidirectional LSTM was proposed to predict the future 24 hours with a resolution of 15 min by creating many stationary component sequences from the original stochastic electricity usage time series data.

TL;DR: In this article , an approach for multi-objective optimization of the architectural specifications and control parameters of a smart shadow curtain is presented, which leads to a significant reduction in building energy consumption and improved thermal and visual comfort.

TL;DR: In this article , the impact of employing different machine learning (ML) algorithms, with sliding-window and offline training schemes, for hour-ahead baseline load prediction has been investigated and compared.

TL;DR: In this paper , the authors proposed a dynamic envelope based on the double-skin façade (DSF) technology as retrofit measure for an existing building office located in a city with a Mediterranean climate.

TL;DR: In this article , the effects of visual-acoustic-thermal perceptions on overall comfort of elderly adults in typical residential outdoor spaces and five common sounds (birdsong, dance music, traditional opera, conversation and traffic sound) with three A-weighted equivalent continuous sound pressure level (LAeq) (60, 70 and 80 dBA) were simultaneously measured.

TL;DR: In this article , the influence of three spray nozzle types with six modes on the spray cooling performance of glass curtain samples that belong to one transparent roof was first determined by a test device, and the spray system, designed based on the selected nozzles, was assembled on the transparent roof inside a laboratory building.

TL;DR: Wang et al. as mentioned in this paper proposed a multi-criteria decision-making method based on sensitivity analysis and analytic hierarchy process for building performance optimization, which provided architects with a real-time interactive way to handle the building's sustainable design.

TL;DR: In this paper , a new residential heat pump system was designed for domestic use in the geothermal district heating system (GDHS) by replacing the conventional evaporator with thermal energy storage (TES) unit.

TL;DR: In this paper , the authors analyzed differences in household A/C temperature setpoint behaviors in three climate zones, using usage data collected from embedded sensors in a/C during the cooling season.

TL;DR: In this article , a low-cost thermal sensing network and a model predictive control (MPC) framework were integrated into a centralized building management and control system to provide thermal conditions to satisfy personal preferences.

TL;DR: In this article , a model-based predictive control (MPC) method was proposed to optimize multiple parameters of a chiller plant with a water-side economizer (WSE) system.

TL;DR: Wang et al. as discussed by the authors proposed a data integrity judgment method to determine whether building features are absent, and a max-relevance min-redundancy feature selection method with diffusion kernel density estimation (DKDE-mRMR) was established to select the key migrated features.