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In situ experimental and theoretical studies of the performance and the fouling impact of shower greywater heat recovery systems Energy Build. (IF 6.6) Pub Date : 2025-01-27
Jean-Baptiste Bouvenot, Cyprien BeaudetThis paper begins with a theoretical analysis of shower water heat recovery systems, assessing 3 key indicators in particular: the V40 indicator (volume of water that can be produced at 40 °C), the efficiency of the heat exchanger and the efficiency of the complete system. A benchmark was also carried out on commercial systems available, with a classification by type. Finally, a comparative and critical
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The influence of natural resources consumption and room revenue in the energy-efficiency of hotel chains Energy Build. (IF 6.6) Pub Date : 2025-01-25
Rodrigo Schons Arenhart, Adriano Mendonça SouzaEnergy cost is a key component of commercial buildings operation, which could be significantly reduced using energy efficiency practices. This study investigates the relationship between energy use and energy use intensity (EUI) with its potential contributors in hotel chains to provide policy suggestions for hotel industry managers and legislators. We include environmental, social, and economic factors
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Energy, environmental, and economic (3E) analysis of a dynamic ice storage system based on ice slurry for a super high-rise building in subtropical climates Energy Build. (IF 6.6) Pub Date : 2025-01-25
Xinyi Hu, Xiaolei Yuan, Jingyao Jiang, Yaoji Jiang, Yumin Liang, Wenqi Jia, Risto KosonenThe building sector has overtaken industry and transportation as the largest global energy consumer, with Heating, Ventilation, Air-Conditioning, and Refrigeration (HVAC&R) systems accounting for the highest energy usage within buildings. Enhancing the energy efficiency of HVAC&R systems is therefore critical for achieving energy conservation and global carbon neutrality. This paper introduces an innovative
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Transfer learning in building dynamics prediction Energy Build. (IF 6.6) Pub Date : 2025-01-25
Gaurav Chaudhary, Hicham Johra, Laurent Georges, Bjørn AustbøBuildings account for approximately 40% of global energy use, largely due to heating, ventilation, and air conditioning (HVAC) systems. Advanced control strategies, such as model predictive control (MPC), are crucial for optimizing energy usage in smart buildings. For effective MPC, high-fidelity models are necessary to reliably predict thermal responses under varying conditions. Low development costs
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A novel building sampling approach leveraging data mining and stratified sampling theory for energy optimization Energy Build. (IF 6.6) Pub Date : 2025-01-25
Zhijian Fang, Lei Lei, Run ZhengBuildings play a significant role in global energy consumption, and effective sampling methods are essential for developing targeted, impactful energy conservation measures. This study proposes a novel building sampling method integrating data mining technology and stratified sampling theory to enhance the representativeness and accuracy of building energy consumption analysis. Utilizing an optimized
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Analysis of the socio-spatial vulnerabilities to energy poverty factors of Türkiye Energy Build. (IF 6.6) Pub Date : 2025-01-25
Elif Korkmaz, Muzeyyen Anil Senyel KurkcuogluSpatial variations in vulnerability to energy poverty require local-specific actions in terms of customized policies and strategies. Understanding the components of vulnerability to energy poverty is important for developing effective strategies to alleviate the issue. This study aims to reveal the spatial distribution of total vulnerability to energy poverty at the provincial level in Türkiye, identifying
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Evaluation of energy retrofits for existing office buildings through uncertainty and sensitivity Analyses: A case study of Tianjin, China Energy Build. (IF 6.6) Pub Date : 2025-01-24
Wenyuan Wang, Li Zhu, Jiqiang Zhang, Xingzhe Zhu, Zhexing Yan, Mengying CaoIn the practice of energy retrofitting for existing buildings, uncertainty in retrofit parameters significantly impacts the outcomes. To support planning decisions for energy retrofits, a Monte Carlo (MC) method combining Latin hypercube sampling (LHS) is proposed to evaluate the uncertainty analysis (UA) of four building energy retrofit schemes. Furthermore, the important factors affecting outputs
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Performance of geothermal energy piles in buildings: A bibliometric analysis and systematic review Energy Build. (IF 6.6) Pub Date : 2025-01-23
Muhammad Abubakar Baffa, Zahiraniza Mustaffa, Niraku Rosmawati Ahmad, Mohamed E. El-Atroush, Nura Shehu Aliyu Yaro, Mohamed El Amine Ben SeghierThe adoption of Geothermal Energy Piles (GEPs) as an alternative renewable energy source for heating and cooling demand of buildings continues to grow rapidly. This study presents an integrated approach wherein a bibliometric analysis and systematic review are employed to offer a holistic overview of the performance of GEPs in buildings. The trend of research in the area, key contributing countries
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A novel compression-assisted double absorption energy storage heat transformer with high temperature lift Energy Build. (IF 6.6) Pub Date : 2025-01-23
Cun Wang, Yuehong BiAbsorption energy storage heat transformer (ESHT) is a type of absorption energy storage system designed to achieve temperature lift. The system addresses energy supply–demand mismatches and expands potential applications for low-grade energy. This paper proposes a novel compression-assisted double absorption energy storage heat transformer (CDAESHT) to improve the system performance. The dynamic characteristics
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Stabilizing chilled water temperature for constant temperature air conditioning: A unified step perturbation transfer model for Widening end control margins with two-stage control Energy Build. (IF 6.6) Pub Date : 2025-01-23
Weichen Guo, Yusong Hong, Yuan Wei, Xuejin Zhu, Zhe Zhu, Wei YeConstant temperature and humidity rooms are critical in high-end manufacturing and scientific research. While current studies have primarily focused on stabilizing room temperature by end reheating control (EC) of the supplied air, achieving ultra-high precision (e.g., ±0.1 °C) necessitates pre-stabilizing the chilled water temperature for cooling the air. However, this aspect remains underexplored
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Probabilistic multi-energy complementary switching control based on event-triggered mechanism Energy Build. (IF 6.6) Pub Date : 2025-01-23
Xianshuang Yao, Yao Wang, Lei LiuIn this paper, combining the principle of graph theory, a switching control method is proposed for the wind-solar-biomass-storage multi-energy microgrid to maximize the utilization rate of all energy sources in the microgrid. To solve the many uncertainties brought by the randomness of load and renewable energy generation to the microgrid, the probability model of uncertainty is established using the
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Study on enhanced fault diagnosis of chiller units in HVAC systems under the imbalanced data environment using GA-Optimized LightGBM Energy Build. (IF 6.6) Pub Date : 2025-01-22
Manfeng Li, Haoyuan Tao, Mengke Liu, Tianbiao HeHVAC systems consume about 50% of the total energy in commercial buildings, with chiller units playing a central role but being prone to complex failures. These undetected failures of the chiller units lead to energy waste, equipment damage, and potential safety risks, emphasizing the critical need for early and accurate fault detection. This study proposes a data-driven fault diagnosis framework for
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An AI-enabled optimal control strategy utilizing dual-horizon load predictions for large building cooling systems and its cloud-based implementation Energy Build. (IF 6.6) Pub Date : 2025-01-22
Ziwei Xiao, Jing Zhang, Fu Xiao, Zhe Chen, Kan Xu, P.M. So, K.T. LauCentral cooling systems with multiple chillers are commonly used in large buildings due to their flexibility and efficiency in providing cooling capacity. These systems often rely on load prediction to optimize operations, ensuring that the cooling output aligns with immediate demand and also accounts for anticipated changes in future cooling demand. However, conventional prediction-based optimal control
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Detecting residential power peaks for innovative tariff designs: A living lab experiment Energy Build. (IF 6.6) Pub Date : 2025-01-22
Thorben Sandmeier, Leandra Scharnhorst, Johanna Geis-Schroer, Armin Ardone, Thomas Leibfried, Wolf FichtnerAs smart meters become increasingly prevalent in private households, the availability of high-resolution electricity load profiles creates new opportunities for innovative electricity tariffs. Already established in industry, innovative tariffs could consider power consumption in order to monitor and maintain grid stability. This study explores the crucial role of time granularity in detecting power
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Effects of prismatic glazing and architectural spatial form on daylighting performance of sunken underground public space—A case study in Nanjing, China Energy Build. (IF 6.6) Pub Date : 2025-01-21
Gerui Sui, Wei Yuan, Jiawei Leng, Xiaohan ShenOver the past two decades, the development and utilization of underground spaces have increasingly become a critical aspect of urban construction in China. Given the importance of underground public spaces in urban life, enhancing the use of natural light is essential for creating comfortable, healthy, and energy-efficient environments. Spatial form is frequently used in architectural design to optimize
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An ensemble strategy for transfer learning based human thermal comfort prediction: Field experimental study Energy Build. (IF 6.6) Pub Date : 2025-01-21
Kangji Li, Lei Chen, Yanpei Luo, Xiaotian HeAccurate prediction of human thermal comfort plays an important role in improving indoor comfort and reducing energy consumption. With the continuous innovation and improvement of physiological sensing technologies, data-driven models show better predictive performance than traditional predictive mean vote (PMV) model. However, the high performance of data-driven models requires sufficient and high-quality
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Prospective life cycle analysis of a BIPV façade − Life cycle assessment of greenhouse gas emissions using future projections for a case study Energy Build. (IF 6.6) Pub Date : 2025-01-21
Christian Popp, Clara Uhlig, Michael EngelmannBIPV façades activate unused surfaces for energy generation and save conventional façade cladding and therefore resources, emissions and energy. However, these advantages can only be recognised by analysing the entire life cycle of BIPV facades and comparing their life cycle performance to facades without photovoltaics. In principle, life cycle analyses are based on static boundary conditions and all
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Energy, economic, emissions analysis of semi-flexible crystalline silicon photovoltaic system integrated with factory building roofs based on actual electricity load and cost conditions Energy Build. (IF 6.6) Pub Date : 2025-01-20
Hua Zhang, Xinzhu Chen, Wenxin Li, Ruili Peng, Jie Ji, Xiaoxiao Su, Chenglong LuoTo address the gaps in analyzing the economic benefits of photovoltaic (PV) systems affected by electricity price fluctuations and load demand changes, this paper examines the economic performance of a novel building-integrated semi-flexible crystalline silicon photovoltaic (BI-SFPV) system, which has effectively overcome the technical challenges of low-load-bearing roofs. Using actual electricity
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Coupling the assessment of indoor environmental quality and cognitive performance in Building Information Modelling with integral indicators Energy Build. (IF 6.6) Pub Date : 2025-01-20
Suzana Domjan, Rok Fink, Sašo MedvedNowadays we spend most of time indoors and therefore building planners must provide best possible indoor environmental quality (IEQ) for living and working in the most energy efficient way. While living comfort can be predicted with the set of standardized physical variables, the evaluation of productivity is still not included in building design by default. The aim of the study is to present i) the
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A comprehensive performance evaluation of phase change materials for cold energy storage systems Energy Build. (IF 6.6) Pub Date : 2025-01-20
Merve Altuntas, Dogan Erdemir, Sebahattin UnalanThe increasing need for cooling, particularly air conditioning, is driving a significant rise in building energy consumption. This surge in demand often leads to peak loads, straining power grids and increasing costs. Cold thermal energy storage systems, especially those utilizing phase change materials, offer a promising solution to mitigate these challenges. This study presents a comprehensive investigation
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Short-term building electricity load forecasting with a hybrid deep learning method Energy Build. (IF 6.6) Pub Date : 2025-01-20
Wenhao Chen, Fei Rong, Chuan LinWith the increase in energy consumption of the construction industry, building electrical load forecasting (BELF) is of crucial importance. However, there are many research gaps in existing methods: Firstly, existing BELF methods focus on time-domain decomposition, ignoring frequency-domain features and lacking prediction models suitable for different modal components; Secondly, existing models use
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Greywater as an undervalued tool for energy efficiency enhancement and decarbonizing the construction sector: A case study of a dormitory in Poland Energy Build. (IF 6.6) Pub Date : 2025-01-20
Agnieszka Stec, Beata Piotrowska, Daniel SłyśIn light of accelerating climate change driven by greenhouse gas emissions, there is an urgent need to develop modern zero- and low-emission construction methods that promote energy and water efficiency. This article presents a comprehensive analysis of waste energy recovery systems and greywater utilization in collective housing, specifically within a dormitory setting. The proposed variants were
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Useful daylight illuminance for ornamental plants in buildings – The method to design the green interior Energy Build. (IF 6.6) Pub Date : 2025-01-20
Eliza Szczepańska-Rosiak, Jerzy Sowa, Katarzyna Mastalerz, Dariusz HeimThe ornamental plants have various environmental requirements resulting from their place of origin. The light intensity is one of the parameters which should be considered during indoor greenery design. This paper proposed a novel approach to analyse daylight availability in building interiors due to the specific requirements of different plant groups. The formulation of the method was preceded by
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Residential space heating electrification through a PV-driven hot water heat pump Energy Build. (IF 6.6) Pub Date : 2025-01-19
Zheng Wang, Mark Luther, Peter Horan, Jane Matthews, Chunlu LiuAs the world progresses towards decarbonisation, solutions for houses dependent on fossil fuels are required. Solar photovoltaic (PV) and heat pumps are attractive in reducing carbon emissions due to their renewable energy generation and outstanding energy efficiency. Therefore, this paper investigates the energy, economic and environmental performance of electrifying fossil fuel-based space heating
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Household attitudes and characteristics towards photovoltaic adoption in Hong Kong: Identifying the determinants for sustainable energy transition Energy Build. (IF 6.6) Pub Date : 2025-01-18
Ruixiaoxiao Zhang, Minhyun Lee, Lijie Huang, Shiqi MeiThis study investigates the attitudes and characteristics of households in Hong Kong towards photovoltaic (PV) system adoption and evaluates the effectiveness of existing solar energy policy (i.e., the Feed-in Tariff scheme). A structured questionnaire survey was conducted to collect responses from 776 participants, including 371 PV installers and 405 non-PV installers. This study is distinct from
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Digital twin model calibration of HVAC system using adaptive domain Nelder-Mead method Energy Build. (IF 6.6) Pub Date : 2025-01-18
Ga-Yeong Lee, Yoojeong Noh, Young-Jin Kang, Nuri Kim, Noma Park, Been Oh, Gyungmin ChoiDigital twin control enhances HVAC systems by enabling real-time monitoring, energy optimization, and maintenance for improved performance and energy efficiency. To perform digital twin control effectively, it is necessary to have an accurate simulation model that can predict the performance of HVAC systems. However, simulation models have limitations in replicating real operating conditions, requiring
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Suspended particle device windows in residential buildings: Measurement-based assessment of comfort and energy performance for optimal control during intermediate and heating seasons Energy Build. (IF 6.6) Pub Date : 2025-01-18
Soo-Jin Lee, Sue-Young Choi, Seung-Yeong SongSmart windows effectively reduce cooling loads by controlling the visible light transmittance (VT) and solar heat gain coefficient (SHGC), and several previous studies have focused primarily on the analysis of comfort and cooling energy performance attributable to smart windows during the summer. However, understanding the annual effects of changes in the VT and SHGC of smart windows on indoor visual
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Uncertainty in building airtightness tests: Comparison of regression techniques using a comprehensive dataset of 6,000 tests Energy Build. (IF 6.6) Pub Date : 2025-01-18
Benedikt Kölsch, Valérie Leprince, Joachim Zeller, Iain S. WalkerBuilding airtightness is important for enhancing energy efficiency and indoor air quality. Consequently, many regulations now mandate specific airtightness levels for new constructions, necessitating accurate measurements to ensure compliance. The conventional Ordinary Least Squares (OLS) regression, recommended by ISO 9972, is inaccurate, particularly under varying environmental conditions.
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Experimental and numerical analysis of thermal performance and energy consumption of ventilated green roof Energy Build. (IF 6.6) Pub Date : 2025-01-18
Yiru Chen, Liang Xiao, Hongtao Xu, Zhijun Wang, Guoxiong Mei, Mingjie Jiang, Shan HuangIn this study, a new green roof structure with bottom ventilation is proposed to deal with the heat-sink effect of green roof during the night period. The effect of ventilation on the thermal performance of green roofs are investigated by experimental and numerical analyses. The results indicate that, in summer, the nighttime heat dissipation capacity of the ventilated green roof is greatly improved
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Energy flexibility in multi-family houses heated by thermally activated building systems Energy Build. (IF 6.6) Pub Date : 2025-01-17
J. Lind, F. OttermoThe transition to a sustainable energy system with high penetration of renewable energy sources increases the need for demand-side energy flexibility. One way to achieve such flexibility is to utilize the thermal inertia of buildings; flexibility can be provided by storing energy in the thermal mass and using it for load shifting. The storage potential in the mass of buildings depends, among other
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Energy use of advanced ventilation systems in a cold climate single-family house Energy Build. (IF 6.6) Pub Date : 2025-01-17
Ian Garman, Jonn Are Myhren, Magnus MattssonWarming up incoming fresh air can account for half the space heating demand of a well insulated residential building. Variable air supply (e.g. by demand control) and energy recovery with an air-to-air heat exchanger reduce that demand. However in real-world settings, expected cost and environmental impact savings may not arise, leading to a so-called performance gap. This long-term study followed
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Analyzing smart thermostat data to uncover trends in remote work behaviors Energy Build. (IF 6.6) Pub Date : 2025-01-17
Melina Sirati, William O’Brien, Cynthia A. CruickshankThe widespread adoption of hybrid work arrangements due to COVID-19 pandemic warrants an examination of post-pandemic home energy consumption. There is considerable uncertainty regarding teleworkers’ energy-related behaviors when they telework. This study investigates teleworkers’ thermostat use preferences when working from home using data from the “ecobee” thermostat “Donate Your Data” program. The
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Enhancing non-intrusive load monitoring through transfer learning with transformer models Energy Build. (IF 6.6) Pub Date : 2025-01-17
Jing Rong, Cong Wang, Qiuzhan Zhou, Yunxue He, Huinan WuAs global energy demands continue to rise, the importance of efficient energy management systems becomes increasingly clear. Non-invasive load monitoring (NILM) technologies, which identify the energy consumption of individual loads through the analysis of aggregate mains data without physical alterations to the electrical system, are gaining widespread attention. To address persistent challenges of
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The impact of occupants’ window opening behaviour during summertime overheating in high-rise social housing Energy Build. (IF 6.6) Pub Date : 2025-01-17
Felipe Jara-Baeza, Priyadarsini Rajagopalan, Mary Myla AndamonPeople living in social housing spend 17 % more time indoors compared to the general population. However, these dwellings often experience high indoor temperatures, significantly affecting households, particularly older people, who are more vulnerable to heat-related health issues. Economic limitations restrict these residents’ access to cooling systems, increasing their vulnerability during hot weather
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Advanced physical modeling of energy micropile for shallow geothermal in underpinning projects Energy Build. (IF 6.6) Pub Date : 2025-01-16
Kaveh Roushan, Asskar Janalizadeh ChoobbastiEnergy micropiles (EMPs) combine foundation systems with shallow geothermal energy technology, offering the advantages of structural reinforcement alongside enhanced energy efficiency. This research examines the thermo-mechanical behavior of energy micropiles (EMPs) in relation to shallow geothermal systems and retrofitting applications, employing laboratory-scale physical modeling in a controlled
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Optimal energy trading in rural micro-grids with variable ownership of photovoltaics and power stations: A Stackelberg game approach Energy Build. (IF 6.6) Pub Date : 2025-01-16
Ding Gao, Guanqiong Wei, Yuan Zhi, Xudong YangChina’s over-reliance on fossil fuel for rural energy use leads to significant health and environmental problems. Establishing rooftop photovoltaic-based rural micro-grids energy system is an effective way to reduce both pollutant and carbon emissions from rural energy use. However, the complex operational strategy and variable ownership of rural micro-grids make it challenging to motivate farmers
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A data-based compact pipe model for district-heating-and-cooling networks with variable flow conditions Energy Build. (IF 6.6) Pub Date : 2025-01-16
Mengting Jiang, Michel Speetjens, Camilo Rindt, David SmeuldersThe present study develops a data-based compact model for the prediction of the fluid temperature evolution in district heating-and-cooling pipeline networks. This model is based on an existing “reduced-order model” by the authors obtained from reduction of the “full-order model” describing the spatio-temporal energy balance for each pipe segment to a semi-analytical input-output relation between the
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Corrigendum to “Multi-objective optimization and performance evaluation of a cooling tower assisted ground source heat pump system under different intermittent control strategies” [Energy Build. 329 (2025) 115268] Energy Build. (IF 6.6) Pub Date : 2025-01-15
Yifei Liu, Guozhu Zhang, Zhongtao Wang, Jiayuan Ding, Hao Wang, Ziming Cao -
Latest progress in utilizing phase change materials in bricks for energy storage and discharge in residential structures Energy Build. (IF 6.6) Pub Date : 2025-01-15
Farhan Lafta Rashid, Nabeel S. Dhaidan, Mudhar Al-Obaidi, Hayder I. Mohammed, Ali Jafer Mahdi, Arman Ameen, Rujda Parveen, Mohamed Kezzar, S. Nazari, Ahmed M. GalalTo provide a thorough evaluation of the recent knowledge regarding the utilisation of phase change materials (PCMs) in bricks industry, the present study specifies a comprehensive review of most recent advancements (2020–2024) in integrating PCMs into building bricks for energy preservation and thermal regulation. The outcomes highlight significant advantages, including a reduction in internal temperatures
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Field investigation on the thermal environmental construction challenges of artificial ice rinks: Zonal mixing and inter-system counteraction Energy Build. (IF 6.6) Pub Date : 2025-01-15
Wenyu Lin, Zhiyao Ma, Xiaohua Liu, Tao Zhang, Xiaochen LiuIce rinks feature unique indoor environment and high energy consumption. Therefore, there is an urgent need to investigate the key challenges in the thermal environmental construction process and explore potential directions for optimization. This study conducts on-site measurement at six distinct ice rinks in Beijing to analyze the current environmental conditions and indoor heat and moisture flow
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Enhancing thermal properties of mortars through partial sand replacement with diatomite and phase change materials Energy Build. (IF 6.6) Pub Date : 2025-01-15
Houssem Hachemi, Chakib Seladji, M. Reda Haddouche, Müslüm Arıcı, Smain Melouka, Omar Taleb, Brahim Farid Houti, Djahida Mahmoudi, Mohammed Abdelbassit Kherrafi, Sabrina Taieb BouderbalThe growing demand for sustainable building materials highlights the importance of enhancing the hygrothermal performance of mortars, a key component in construction. This study investigated the use of diatomite (in powder and gravel forms) and phase change materials (PCM) as sand substitutes to improve mortar properties. These innovations target construction professionals seeking to reduce energy
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Developing a dual-modal surrogate model training framework for building performance prediction in early design stage Energy Build. (IF 6.6) Pub Date : 2025-01-14
Zhen Han, Gang Liu, Lihua Zhang, Xiaoqian Li, Ye YuanIn the early stages of architectural design, machine learning-based surrogate models exhibit significant advantages in rapidly evaluating building performance compared to traditional simulation software. Currently, most building performance prediction surrogate models rely on a single data type as input for performance prediction, which limits the model's generalizability. This study proposes a novel
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Improving sleep comfort by using a thermoregulation mat with a floor heating system Energy Build. (IF 6.6) Pub Date : 2025-01-13
Jeong Won Kim, Sun Ho Kim, Hyeun Jun MoonIn this study, the effects of stepwise adjustments to thermoregulation mat temperatures, combined with underfloor heating, were evaluated to improve sleep quality in 20 healthy young adults, both male and female. Sleep quality was subjectively assessed through morning questionnaires and objectively measured using a wristband that continuously monitored sleep throughout the night. Additionally, skin
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Optimising urban office block morphologies with photovoltaic system integration: An energy-environment-economic evaluation under climate change scenarios Energy Build. (IF 6.6) Pub Date : 2025-01-13
Gaomei Li, Huangwanjin Zhou, Jian Kang, Nianjun Shen, Hua Zhong, Shen XuClimate change significantly affects the urban block energy consumption and photovoltaic (PV) power generation potential. However, current simulations often neglect these effects, which limits the effectiveness of integrated urban block planning with PV systems. This study aims to quantitatively assess the energy-environment-economic (3E) performance of PV systems in various morphological typologies
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Thermal comfort and perceived air quality (PAQ) using automatic ceiling fans in residential buildings Energy Build. (IF 6.6) Pub Date : 2025-01-13
Akshit Gupta, Giulia Torriani, Simone Torresin, Lorenza Pistore, Matteo Pellegatti, Lucia Piazza, Fabrizio Miorin, Wilmer Pasut, Annamaria Belleri, Roberto Lollini, Francesco BabichIn warm climates, resilient and low-energy methods for cooling building occupants are needed to ensure energy-efficient and adaptive thermal comfort. Air movement, particularly through ceiling fans, is an effective way to provide comfort in warm conditions, potentially minimizing or even avoiding the need for more energy-intensive air conditioning systems. This study aims to validate an algorithm for
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Atlas for sustainable Egyptian governorates buildings based on wind/solar potential: Power, efficiency, economic, environmental, and thermal comfort maps Energy Build. (IF 6.6) Pub Date : 2025-01-13
Brian Senyonyi, Hatem Mahmoud, Hamdy HassanThis study develops a comprehensive atlas for sustainable buildings across Egypt’s governorates by integrating photovoltaic (PV) systems and wind turbines (WT) on to rooftops and on the building facades. Four energy systems integration cases are evaluated: Case 1 (100 % rooftop covered with PV), Case 2 (100 % rooftop covered with WT), Case 3 (50 % rooftop shared by PV and WT), and Case 4 (PV-WT hybrid
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The multifaceted role of indoor plants: A comprehensive review of their impact on air quality, health, and perception Energy Build. (IF 6.6) Pub Date : 2025-01-13
Hind Rasheed, Jayasree T KIndoor air pollution has emerged as a critical concern in recent years, significantly affecting human health, comfort and wellbeing. As individuals spend approximately 80–90% of their time indoors, the quality of indoor environments plays a pivotal role in shaping health outcomes and overall comfort. The prevalence of health concerns like Sick Building Syndrome (SBS) highlights the critical necessity
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Statistical and machine learning approaches for energy efficient buildings Energy Build. (IF 6.6) Pub Date : 2025-01-13
John A. Paravantis, Sonia Malefaki, Pantelis Nikolakopoulos, Alexandros Romeos, Athanasios Giannadakis, Evangelos Giannakopoulos, Giouli Mihalakakou, Manolis SouliotisBuildings are responsible for nearly 40% of primary energy consumption. Over the recent decades, numerous methods have been proposed to model, predict, and optimize the heating and cooling energy consumption in buildings, prioritizing efficiency, accuracy, simplicity, and speed. From basic deterministic formulations to advanced machine learning techniques, various methods have been proposed to improve
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Energy conservation research trajectories: A systematic analysis of methods, technologies, and knowledge gaps Energy Build. (IF 6.6) Pub Date : 2025-01-13
Bushra Jan, Muhammad AsifEnergy saving remains a pivotal aspect of the global sustainable energy outlook, with primary strategies including energy efficiency (EE) and energy conservation (EC). Although energy efficiency often receives more attention, this study emphasizes the equally critical role of energy conservation. Utilizing the PRISMA-2020 methodology, our research systematically delves into the landscape of energy
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Decarbonizing operational emissions in urban neighborhoods with the integration of rooftop photovoltaics and green infrastructure under current and future climate conditions Energy Build. (IF 6.6) Pub Date : 2025-01-13
N. Skandalos, D. KaramanisSince the time to achieve the sustainable urban transformation to carbon neutrality and mitigate climate change is limited, rapid and deep actions are needed in a feasible pathway based on existing, scalable, and adaptable technological and natural solutions to be deployed within this decade. In this work, we explore, for the first time to the best of our knowledge, the feasibility of achieving carbon
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Innovative hybrid 4th generation geothermal system for zero-carbon hotel buildings in cold climate Energy Build. (IF 6.6) Pub Date : 2025-01-13
Mohamed G. Ghorab, Antonio RosatoThis research investigates the energy efficiency, economic viability, and environmental impact of a hotel building in Ottawa, Canada, utilizing dynamic annual energy simulations. The study evaluates the performance of a Hybrid 4th Generation Geothermal Energy System (H4GGES) with a novel energy pile configuration, both with and without an integrated Photovoltaic (PV) system, and compares these proposed
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Optimizing transition temperatures for thermochromic smart windows via neural networks coupling simulation Energy Build. (IF 6.6) Pub Date : 2025-01-13
Yuanwei Lu, Huaiyuan Wang, Xuefeng Tian, Meiqi Wang, Wei Zhou, Jihui GaoWith the global emphasis on reducing energy consumption and greenhouse gas emissions growing, the design and operation of energy-efficient buildings have become increasingly important. Thermochromic has offered a solution to this problem by intelligently adjusting indoor solar radiation and the optical properties of windows in response to real-time temperature changes. However, the optimal transition
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Improving thermal transmittance estimation accuracy in cold-formed steel residential envelopes using response surface methodology: A numerical-based approach Energy Build. (IF 6.6) Pub Date : 2025-01-13
Yazeed Al-Radhi, Krishanu Roy, G.Charles Clifton, James B.P. LimThe global motive towards sustainable and energy efficient construction has led to stricter building insulation requirements, such as those recently introduced in New Zealand. These changes pose challenges for cold formed steel (CFS), which is increasingly used in construction due to its many advantages. Furthermore, evaluating thermal transmittance in CFS envelopes using current calculation methods
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Electrochromic glazing with nanocoating integration impact on building energy efficiency: Bibliometric analysis (1983–2023) Energy Build. (IF 6.6) Pub Date : 2025-01-12
Abdelsalam Aldawoud, Lama Alhaj Husein, Emad S. MushtahaWindows, as integral components of buildings, significantly impact energy consumption. In pursuit of sustainability, the integration of electrochromic glazing with nanocoatings (ECN) offers a new approach to enhancing energy efficiency in construction. This study employs text mining analysis to qualitatively investigate these variables by analyzing bibliometric data from ECN scientific research spanning
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A learning-based model predictive control method for unlocking the potential of building energy flexibility Energy Build. (IF 6.6) Pub Date : 2025-01-12
Jie Zhu, Jide Niu, Sicheng Zhan, Zhe Tian, Adrian Chong, Huilong Wang, Haizhu ZhouBuildings are regarded as promising energy flexibility resources due to their significant energy consumption and better integration into the electricity grid. To fully exploit the potential of building flexibility, optimized operational strategies need to be developed in which cost savings and thermal comfort should be considered. Model predictive control (MPC) is widely acknowledged as one of the
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Energy performance of an operational government building retrofitted with ceiling phase change material tiles in a mixed-humid climate Energy Build. (IF 6.6) Pub Date : 2025-01-12
Sajith Wijesuriya, Habib Arjmand Mazidi, Ravi Anant Kishore, Chuck BootenThe aging U.S. building stock requires various retrofit measures to enhance their energy efficiency. This study explores the integration of thermal energy storage and advanced building controls as viable retrofit solutions for load flexibility and peak demand response while maintaining the occupants’ comfort. A detailed assessment is conducted on the energy use of an administrative building in Sumner
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Exploring the influencing mechanisms of residents’ income on residential building carbon emissions: Evidence from China Energy Build. (IF 6.6) Pub Date : 2025-01-11
Shiying Liu, Liu Chen, Weiguang Cai, Kaijian Li, Shiwen HuThe residential building sector, with its significant potential for carbon reduction, is crucial in China’s pursuit of carbon emission peaks and neutrality. Using the Stochastic Impacts by Regression on Population, Affluence, and Technology model and Environmental Kuznets Curve hypothesis, this study explores the nonlinear relationship between income and residential building carbon emissions (RBCE)
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Weather clustering for machine learning-based hourly building energy prediction models at design phase Energy Build. (IF 6.6) Pub Date : 2025-01-11
Dongxue Zhan, Shaoxiang Qin, Liangzhu (Leon) Wang, Ibrahim Galal HassanWith global efforts aimed at reaching carbon neutrality by 2050, there is an increased emphasis on optimizing building energy management. Accurate hourly building energy predictions support crucial tasks such as predicting peak loads for equipment sizing, comparing energy systems, and optimization during the design phase. The main methods used to model building energy are physics-based and data-driven
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Exploring the spatial association characteristics of carbon emission efficiency in China’s construction industry: A network perspective Energy Build. (IF 6.6) Pub Date : 2025-01-11
Fangliang Wang, Qi ZhangAs the main carbon dioxide contributor, the effectiveness of carbon emission reduction in China’s construction industry (CI) plays an important role in achieving global carbon emission reduction goals. However, inter-regional correlation poses a great challenge to reduce the carbon dioxide in the CI. Capturing the spatial association characteristics of carbon emission efficiency (CEE) can help to achieve