Showing papers in "Energy and Buildings in 2019"

TL;DR: In this article, the authors reviewed the published researches on post-occupancy performance of green buildings in terms of energy use, indoor environment quality (IEQ) and occupant satisfaction.

TL;DR: In this article, the value of peer-to-peer trading in the integration of prosumers in the day-ahead and intraday markets and investigate how residential battery storage contributes to local demand side flexibility in an integrated market setting.

TL;DR: In this paper, the authors conducted a scientometric review of 1147 green building research articles and found that at least 44% of all countries in the world are involved in green building (GB) research.

TL;DR: A systemic review of how indoor sensors influence in managing optimal energy saving, thermal comfort, visual comfort, and indoor air quality in the built environment is provided.

TL;DR: In this paper, the authors proposed a real-time control framework based on deep reinforcement learning (DRL) for heating, ventilation and air-conditioning (HVAC) systems.

TL;DR: In this article, the theory, performance, practical applications, limitations and solutions pertaining to ventilation and air distribution methods are critically reviewed, and measuring and evaluating methods for ventilation and Air Distribution are also discussed to give a comprehensive framework of the review.

TL;DR: Experimental results demonstrate that the proposed RICNN model outperforms the benchmarked multi-layer perception, RNN, and 1-D CNN in daily electric load forecasting (48-time steps with an interval of 30 min).

TL;DR: In this paper, a transient two-dimensional numerical model was developed to study the melting characteristics of lauric acid (phase change material, PCM) and the local double-fin at different fined angles (θ = 30°, 60°, 90°, 120°, 150° and 180°).

TL;DR: In this article, a comprehensive review on passive cooling techniques along with its classification, working, applications, recent developments and to analyze the influence of significant parameters such as building cooling load and indoor temperature on the performance of passive cooling technique.

TL;DR: This comprehensive review discusses significant publications in sustainable building design research where surrogate modelling was applied and summarizes and aggregates past successes, and serves as practical guide to make surrogate modelling accessible for future researchers.

TL;DR: In this paper, the authors identify the driving forces of household vulnerability to excessive indoor heat, in terms of risk of exposure, adaptive capacity, and sensitivity, and explore the implications for addressing energy poverty.

TL;DR: In this article, a comprehensive review of the current concepts and indicators of FP, and of current initiatives to tackle this issue, across Europe, is made, and the discussion of how energy vulnerability factors fit FP situations: available infrastructure, energy efficiency, social and economic poverty, and wellbeing and health.

TL;DR: In this paper, the authors examined the energy consumption and indoor environment in a commercial office building with a retrofitted HVAC system, which included a sensor-based building management system, dehumidification of outdoor air, and a two-stage particle filtration system.

TL;DR: In this article, a typical classroom of a Greek public school was examined using a number of lighting technologies (with AC and DC supply) together with two daylight harvesting systems, in an effort to calculate energy savings and light adequacy.

TL;DR: Experimental results show that the parallel data have similar distributions to the original data, and the prediction models trained by the mixed data perform better than those trained only using the originalData.

TL;DR: The proposed dynamic threshold method, which adjusts the threshold value dynamically according to the real-time moving average and moving standard deviation of the predictions, is applied to determine occurrences of faults in real time to improve the effectiveness of fault detection algorithms.

TL;DR: The goal is to identify the optimal BESS size, expressed as energy capacity, for load match optimization and environmental impacts in a life cycle perspective, and highlights the potential synergy inspired to the principles of the circular economy and of the industrial symbiosis, between the building and the automotive sector.

TL;DR: In this article, the phase change cycle of phase change materials (PCMs) and their impact on indoor air and interior building surface temperatures are assessed. And the results indicate improved performance of the test cell containing the composite PCM system in lowering peak indoor and surface temperatures up to 6°C.

TL;DR: A cradle-to-gate life cycle assessment is applied to benchmark the environmental performance of conventional and modular construction methods to provide a basis to create a benchmarking database by adding future LCA studies for new modular and conventional building projects.

TL;DR: In this paper, the authors found that at each educational stage in the studied schools, students were highly unsatisfied with the prevailing indoor thermal environments and preferred cooler temperature than the existing indoor thermal environment.

TL;DR: In this paper, the authors investigated the relationship between energy poverty and economic development in India and its trend over a decade and found that energy poverty is quite extensive in India with substantial variations across the states and districts.

TL;DR: It is reemphasized in the present paper that AI, when combined with BD, can tremendously increase the energy efficiency and cost effectiveness of buildings which are designed to provide occupants with a comfortable indoor living environment.

TL;DR: A methodology to transform the time-dependent database into a structure that standard machine learning algorithms can process, and then, apply different types of feature selection methods for regression tasks is proposed.

TL;DR: In this paper, the authors provide an overview of selected policies and measures directly or indirectly targeting EP alleviation and analyses their history and evolution at an EU level as well as at national level.

TL;DR: Dry air perception that indicated a polluted indoor environment was a risk factor for SBS symptoms in Chinese homes was a fear factor for patients’ sick building syndrome symptoms.

TL;DR: A comprehensive and detailed study for very-short term and short-term load forecasting in a district building using artificial neural network (ANN) and how the network design parameters affect the model’s ability to accurately forecast loads is presented.

TL;DR: In this article, the authors assess population exposure and vulnerability to high summer temperatures by exploring the geospatial connection between the UHI, housing energy efficiency and overheating risk, and social vulnerability indicators, such as income and the elderly population.

TL;DR: In this paper, a review of the use of phase change materials (PCMs) as an additive or replacement material in typical concrete mixtures for building applications is presented, which shows that organic paraffin and non-paraffin are the most suitable PCMs for incorporation into concrete mixture, as they have suitable melting points that match human comfort temperature, high heat capacity, low volume changes during phase change transition and good chemical and thermal stability.

TL;DR: The results show that most cities have adequate public data to support UBEM; however, the data are represented in different formats without standardization, and there is a lack of common keys to make the data mapping easier.

TL;DR: In this article, the authors investigated the influence of the main building parameters on the indoor space heating energy flexibility of a Danish house, focusing on the envelope insulation level, the structural thermal mass, the additional thermal mass of indoor content (indoor items/furniture), PCM integrated in furnishing, PCM wallboards and the type of heating system.