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Optimizing building energy consumption through synchronization and asynchronization of occupancy and air-conditioning behavior Energy Build. (IF 6.6) Pub Date : 2025-01-31 Tao Li, Xiangyu Liu, Wenjie Zhou, Jiangqiaoyu Ma, Yang Li, Jiajia Gao, Min Chen, Qianjun Mao
With the intensification of the energy crisis and the severe impact of climate change, energy conservation and emission reduction in office buildings have become imperative. This study analyzes the relationship between occupancy, air conditioning usage, and tolerance temperatures in office buildings in Wuhan and proposes a control strategy that integrates multiple behavioral patterns. The research
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Combined impact of climate change and urban heat island on building energy use in three megacities in China Energy Build. (IF 6.6) Pub Date : 2025-01-31 Pengyuan Shen, Yuchen Ji, Yu Li, Meilin Wang, Xue Cui, Huan Tong
While global climate change (GCC) and urban heat island (UHI) effects have been extensively studied separately, their combined impact on urban microclimates remains poorly understood. This study introduces a novel lightweight simulation procedure that effectively integrates these two phenomena to assess their combined impact on urban microclimates in three representative Chinese megacities. By validating
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Determining the most efficient phase change materials configuration for enhancing the thermal and energy performance of concrete building envelopes in a tropical region Energy Build. (IF 6.6) Pub Date : 2025-01-31 Sheyna Sajhia Lotun, Mahendra Gooroochurn, Roddy Michel Lollchund
Retrofit techniques applying phase change materials (PCM) to existing building envelopes can passively decrease solar heat gains in indoor environments. To assess the application potential of PCM in building fabrics, two identical concrete test cells were constructed. Concrete represents the main construction materials used in Mauritian buildings. The SP25E2 PCM was selected for the experimental study
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Exploring energy consumption in energy-efficient, affordable housing in Southern California: Behavioral insights and financial implications Energy Build. (IF 6.6) Pub Date : 2025-01-31 Mirmahdi Seyedrezaei, Burçin Becerik-Gerber, Timothy J. Kohut
Through a combination of in-depth interviews with 22 residents and analysis of monthly utility bill cycles of 31 households, we explore energy use and energy burden within four energy-efficient, low-income properties in Southern California. Low-income households (LIHs) demonstrate a variety of energy-conscious behaviors, such as using fans for cooling, utilizing blankets for heating instead of heaters
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A methodology for assessing rooftop solar photovoltaic potential using GIS open-source software and the EROI constraint Energy Build. (IF 6.6) Pub Date : 2025-01-30 Alex Tro-Cabrera, Rosa Lago-Aurrekoetxea, Itziar Martínez-de-Alegría, Estitxu Villamor, Alvaro Campos-Celador
Energy consumption and carbon emissions are concentrated in cities, where 70 % of the global population is projected to live by 2050. Urban environments must therefore be at the heart of any global energy transition. Furthermore, land availability is a limiting factor for renewable deployment and rooftop PV thus offers a clear advantage. This research is based on the rooftop photovoltaic potential
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Hierarchical multi-agent deep reinforcement learning with adjustable hierarchy for home energy management systems Energy Build. (IF 6.6) Pub Date : 2025-01-30 Leehter Yao, Pin-Yen Liu, J.C. Teo
This paper proposes a hierarchical multi-agent deep reinforcement learning (DRL) with adjustable hierarchy for home energy management system (HEMS). Particularly, the framework enables multiple agents within a single HEMS to manage their designated appliances or energy resources in a hierarchical order, and the hierarchical levels of agents are dynamically adjusted based on the situation. Agents at
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A review of air-side economizers in human-centered commercial buildings: Control logic, energy savings, IAQ potential, faults, and performance enhancement Energy Build. (IF 6.6) Pub Date : 2025-01-30 Haipei Bie, Bingtong Guo, Tian Li, Vivian Loftness
This review analyzes documented benefits of economizers for energy performance and Indoor Air Quality (IAQ) enhancement in commercial buildings, including control logic, energy savings, IAQ potential, faults, and performance enhancements. Findings indicate that existing control logics primarily focus on energy, with differential enthalpy plus differential temperature (DE+DT) methods operating most
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How high can You Go: Determining the warmest supply water temperature for high thermal mass radiant cooling systems under thermal comfort constraints Energy Build. (IF 6.6) Pub Date : 2025-01-30 Carlos Duarte Roa, Paul Raftery, Stefano Schiavon, Fred Bauman
The need for cooling in buildings is mainly handled using systems based on the refrigeration cycle, often an energy- and cost-intensive process. High thermal mass radiant systems (HTMR) enable the use of warmer than typical chilled water temperatures to provide cooling. In favorable weather conditions, the cooled water can be produced through low-energy and low-cost cooling devices. In this two-phased
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Adaptive thermal comfort models comparison in dry and rainy seasons: A tropical climate case Energy Build. (IF 6.6) Pub Date : 2025-01-30 J.G. Sánchez-Montes, J.J. Flores-Prieto, L.A López-Pérez, C. Ríos-Rojas
The increasing energy consumption in buildings emphasizes the need for effective energy mitigation strategies prioritizing thermal comfort. Research on the annual adaptive approach has demonstrated significant energy savings. However, the seasonal management of this adaptive approach, particularly in tropical climates where comfort temperatures can be raised, has not been thoroughly explored, and its
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Bridging the simulation-to-reality gap: A comprehensive review of microclimate integration in urban building energy modeling (UBEM) Energy Build. (IF 6.6) Pub Date : 2025-01-28 Amanda Worthy, Mehdi Ashayeri, Julian Marshall, Narjes Abbasabadi
Buildings are significant contributors to global energy consumption, necessitating urgent action to reduce energy use and associated emissions. Urban Building Energy Modeling (UBEM) is a critical tool that provides essential insights into citywide building energy dynamics though generating quantitative energy data and enabling holistic analysis and optimization of energy systems. However, current UBEM
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Chance-constrained stochastic framework for building thermal control under forecast uncertainties Energy Build. (IF 6.6) Pub Date : 2025-01-28 Parastoo Mohebi, Shuhao Li, Zhe Wang
Enhancing building energy efficiency plays a significant role in reducing global energy consumption and greenhouse gas emissions. Achieving carbon neutrality requires optimizing building energy systems during operation. Building thermal control faces significant challenges attributed to uncertainties from weather forecasts, occupant behavior, and mismatches between thermal models and real buildings
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Short-term electrical load forecasting based on pattern label vector generation Energy Build. (IF 6.6) Pub Date : 2025-01-27 Haozhe Zhu, Qingcheng Lin, Xuefeng Li, Hui Xiao, Ting Shao
Short-term load forecasting (STLF) is critical for achieving grid-load interactions and energy-efficient operations. Nevertheless, natural and social uncertainties increase the difficulty of electrical load forecasting. This study proposes a novel method based on pattern label vector generation (PLVG), which includes labeling and generation steps, to guide the electrical load all-day forecasting. During
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Thermo-economic analysis of a solar-driven organic Rankine cycle utilizing cold deep space as heat sink via radiative cooling Energy Build. (IF 6.6) Pub Date : 2025-01-27 Kumar Gautam, Vinay Kumar Yadav, Jahar Sarkar, Pralay Maiti
The urban heat island effect is still a significant threat, even for solar-driven power generation systems. Hence, this study proposes a solar-driven organic Rankine cycle assisted with a daytime radiative condenser to mitigate the heat island effect and evaluates its energy, exergy, economic viability and seasonal adaptability. The system’s performance is optimized for three different refrigerants
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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 Beaudet
This 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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Dynamic modelling and control strategy of a temperature-driven metal hydride cooling system for buildings Energy Build. (IF 6.6) Pub Date : 2025-01-26 Saket Verma, Ravi Anant Kishore, Kuldeep Kumar, Pratheek Ranjan Mitra
A temperature-driven coupled metal hydride (MH) based thermal energy storage (TES) system can allow to shave and shift the peak energy demand in buildings. The high energy density and long-term (seasonal) energy storage capability are its major advantages over other energy storage methods. The dynamic nature of the MH operation, however, requires controlled hydrogen transfer between the coupled MHs
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Assessing solar absorption chillers for data center cooling across diverse climatic conditions Energy Build. (IF 6.6) Pub Date : 2025-01-26 Rodrigo Cáceres González, Andrés J. Díaz, Diego Rojas O, Cristóbal Sarmiento-Laurel
Cooling systems in data centers account for a significant portion of energy and water consumption, prompting the need for sustainable and efficient alternatives to mitigate environmental impacts. Solar absorption cooling systems provide a viable option for reducing energy usage, but their performance varies across different climatic conditions. This work evaluates the performance of a single-effect
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The visual and non-visual effects of annual daylighting performance on middle school students: A longitudinal field survey of classrooms in Eastern China Energy Build. (IF 6.6) Pub Date : 2025-01-26 Junli Xu, Yuqing Gao, Yujie Wu
Daylight can not only render a visual comfort environment but also enhance the productivity, mood, and health for occupants in educational buildings. A set of objective metrics (daylighting and circadian metrics) were evaluated by field studies in six classrooms with different building parameters among three schools in eastern China. Ladybug, Honeybee and Lark based on Radiance were used to calculate
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Automatic operation method using wireless sensor networks for variable refrigerant flow system: Switchless control variable refrigerant flow system Energy Build. (IF 6.6) Pub Date : 2025-01-25 Toshihiro Suzuki, Yoshiyuki Shimoda, Akito Kobayashi, Sumio Shiochi
Variable refrigerant flow (VRF) systems autonomously operate using built-in sensors regulated by remote settings and indoor unit intake temperatures. However, in larger spaces with multiple indoor and outdoor units, autonomous VRF systems lack the benefits of an integrated system, such as balanced load distribution, coordinated operation, and efficient ventilation. To overcome these challenges, the
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Impact of interactive evolution of heterogeneous occupants' air-conditioning usage behavior on air-conditioning energy consumption in university office buildings Energy Build. (IF 6.6) Pub Date : 2025-01-25 Yongkai Sun, Xi Luo, Xiaojun Liu, Fan Ji, Ye Zhang
Interactive evolution (IE) of heterogeneous occupants' air-conditioning (AC) usage behavior was rarely considered when forecasting the AC energy consumption, leading to inaccurate predictions. Therefore, a study was conducted to investigate the impact of IE of heterogeneous occupants' AC-usage behavior on AC energy consumption. The Xi'an University of Architecture and Technology was selected as the
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An improved equivalent temperature drop method for evaluating the operating performances of ASHP units under frosting conditions considering their configuration and operation Energy Build. (IF 6.6) Pub Date : 2025-01-25 Zikun Li, Yuying Sun, Wei Wang, Wenzhe Wei
Evaluating the actual heating performance of Air Source Heat Pump units (ASHPs) is essential to guide the development and operation of ASHPs. The Equivalent Temperature Drop (ETD) method reported in previous studies provides a convenient way to evaluate the joint effect of ambient temperature and relative humidity. However, it ignores the impact of the configuration and operation of an ASHP on its
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Toward scalable prediction of indoor thermal dynamics: Neural-network-implanted state-space (NNiSS) model Energy Build. (IF 6.6) Pub Date : 2025-01-25 Jeeye Mun, Hyeong-Gon Jo, Cheol Soo Park
Scalability of data-driven dynamic models is a major challenge for the widespread adoption of model predictive control (MPC) in practical building applications. Many studies have shown that although data-driven models perform well with known inputs, they often struggle to extrapolate beyond the training dataset. This issue arises because they simulate behaviors based solely on explicit correlations
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Behavioral flexibility in demand response: A comparison of energy communities and individual prosumers based on real consumption and flexibility data Energy Build. (IF 6.6) Pub Date : 2025-01-25 Elena Mura, Eva Schito, Paolo Conti, Daniele Testi, Marco Raugi
The paper analyzes the advantages of “behavioral flexibility” in Energy Communities (ECs) and for individual prosumers. The EC framework provides a natural context for applying energy flexibility, as ECs actively involve users who can be sensitized to exploit demand response potential and better align renewable photovoltaic production with user demand. However, psychological, behavioral, and habitual
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Investigation of the outdoor workers’ thermal comfort and improving technology Energy Build. (IF 6.6) Pub Date : 2025-01-25 Jiahao Yang, Yini Fan, Zhuotong Wu, Xinyi Luo, Naipin Gao, Zhaosong Fang, Peihao Wu
Sanitation workers in high-temperature environments may experience variations in thermal comfort and physiological indicators owing to the nature of the ground surface. Through field measurements, we established the relationships between thermal parameters, thermal indices, and physiological indicators for sanitation workers in spaces near and farther away from water bodies. Subsequently, we utilized
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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 Souza
Energy 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 Kosonen
The 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 Austbø
Buildings 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 Zheng
Buildings 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 Kurkcuoglu
Spatial 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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The running modes and building application performance on a solar-based thermal catalytic purification module with PCM for 24-h heating and air purification Energy Build. (IF 6.6) Pub Date : 2025-01-24 Huabo Wu, Yulin Li, Jie Ji, Wenzhu Huang, Xudong Zhao, Bendong Yu, Niansi Li
The excessive reliance on air conditioning for comfortable indoor environment, leads to considerable energy consumption and sick building syndrome. A promising solution to simultaneously tackle these challenges involves harnessing solar thermal energy during the day to facilitate the all-day heating and removal of indoor pollutants. Here, a proof-of-concept solar-based thermal catalytic purification
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Improving thermal comfort and cognitive ability of manual workers by cooling garment of different temperatures based on EEG analysis Energy Build. (IF 6.6) Pub Date : 2025-01-24 Haiying Wang, Renjie Yan, Huxiang Lin, Junli Sun, Hang Meng, Rongfu Hou, Yongwang Hao, Songtao Hu, Jun Zhang
Nowadays, hot waves happen frequently in summer, and lead to hot indoor environment where air-conditioning system is absent, which can be more intolerable for manual workers taking higher activity levels. This study investigates the effects of phase change cooling garments (PCCG) on thermal comfort, cognitive performance, and electroencephalography (EEG) signals of subjects under a hot condition of
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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 Cao
In 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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Building renovation Passport: A new methodology for scheduling and addressing financial challenges for low-income households Energy Build. (IF 6.6) Pub Date : 2025-01-23 Francesco Nicoletti, Cristina Carpino, Gabriela Barbosa, Anita Domenico, Natale Arcuri, Manuela Almeida
EU Directive 2024/1275 introduced the Building Renovation Passport (BRP) as a voluntary scheme that building owners can adopt to plan energy renovations. A common framework for drafting the BRP has been established. However, a systematic methodology enabling issuers or energy auditors to effectively schedule interventions over time from a financial perspective has yet to be established. This paper
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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 Seghier
The 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 Bi
Absorption 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 Ye
Constant 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 Liu
In 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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Enhancing thermal response characteristics of ultra-low energy buildings with phase change material: A measured and numerical study Energy Build. (IF 6.6) Pub Date : 2025-01-22 Jiayin Zhu, Mengwei Yao, Peiji Lian, Xingtao Zhang, Joe R. Zhao, Weiying Chen, Cong Ren
Enhancing the thermal performance of ultra-low energy buildings (ULEBs) is a critical technical challenge in the pursuit of low-carbon construction. This study investigates the thermal response characteristics of a ULEB located in cold climate, with measurements conducted under extreme weather conditions. The results reveal that while ULEBs exhibit strong resilience against harsh outdoor climates,
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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 He
HVAC 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. Lau
Central 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 Fichtner
As 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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Numerical analysis of heavy cob walls’ hygrothermal behavior Energy Build. (IF 6.6) Pub Date : 2025-01-21 Aguerata Kabore, Mathieu Bendouma, Claudiane Ouellet-Plamondon
The development of building envelope systems with low carbon footprint materials and improved hygrothermal properties is still in progress. For geosourced materials, one of the main objectives is to achieve optimal hygrothermal efficiency. Cob, a material made of clay, plant fibres, and water, stands out for its low carbon footprint and ease of application on timber-framed building structures. The
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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 Shen
Over 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 He
Accurate 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 Engelmann
BIPV 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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Optimizing energy flexibility through electricity price-responsiveness and thermal load management in buildings with convective and radiant heating systems Energy Build. (IF 6.6) Pub Date : 2025-01-20 Anthony Maturo, Annamaria Buonomano, Andreas Athienitis
Building energy modeling is essential for designing energy-efficient and flexible buildings that seamlessly integrate with the electrical grid. This study introduces a data-driven, control-oriented methodology using Resistance-Capacitance thermal network models to accurately forecast building thermal loads. It differentiates the impacts of fast and slow dynamics associated with different heating types—radiant
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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 Luo
To 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 Medved
Nowadays 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 Unalan
The 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 Lin
With 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 Słyś
In 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 Heim
The 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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Corrigendum to “Size effect of typical hygrothermal properties test values for building insulation materials” [Energy Build. 325 (2024) 115049] Energy Build. (IF 6.6) Pub Date : 2025-01-19 Wen Yang, Guanjie Zhang, Jun Wen, Chengyan Zhou, Jiaping Liu
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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 Liu
As 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 Mei
This 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 Choi
Digital 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 Song
Smart 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. Walker
Building 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 Huang
In 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