Article
Construction & Building Technology
Ainhoa Arriazu-Ramos, German Ramos Ruiz, Juan Jose Pons Izquierdo, Ana Sanchez-Ostiz Gutierrez, Aurora Monge-Barrio
Summary: This paper presents a methodology to analyze indoor overheating hours and investigate the building parameters that most influence it. The study finds that the urban microclimate and building parameters such as orientation and floor level have a significant impact on indoor overheating.
ENERGY AND BUILDINGS
(2023)
Article
Environmental Sciences
Naja Aqilah, Sheikh Ahmad Zaki, Aya Hagishima, Hom Bahadur Rijal, Fitri Yakub
Summary: Accurate forecasting of time-varying electricity demands is crucial in residential buildings, as it impacts the load curve in the utility grid. This study in Kuala Lumpur, Malaysia, conducted field measurements in 19 dwellings to analyze electricity usage and indoor thermal environment. Variations in total electricity consumption were observed among different income groups, while AC electricity consumption remained consistent, possibly due to usage patterns during sleeping hours.
Article
Environmental Sciences
Yinthe Dockx, Martin Taubel, Esmee M. Bijnens, Katrien Witters, Maria Valkonen, Balamuralikrishna Jayaprakash, Janneke Hogervorst, Tim S. Nawrot, Lidia Casas
Summary: The study revealed significant associations between nearby residential green space and indoor microbial diversity, with different impacts on bacterial and fungal diversity depending on the type of green space. Further research is required to explore the specific microbial taxa compositions underlying these changes and their potential health benefits.
ENVIRONMENTAL RESEARCH
(2021)
Article
Computer Science, Information Systems
Chunzhi Hou, Qingliang Li, Jinpeng Zhang, Yushi Zhang, Lixin Guo, Xiuqin Zhu, Hanjie Ji, Shuangde Li
Summary: In this paper, a ray tracing method based on geometric optics theory, the uniform theory of diffraction, and image theory is proposed for quickly and accurately measuring indoor propagation loss in the millimeter wave band. The space-alternation generalized expectation-maximization (SAGE) algorithm is used to analyze measured data and multipath information of the wireless channel. Three deep learning models are employed to predict path loss at different receiving distances. The results show that the ray tracing method agrees well with experimental results, and the LSTM network has the smallest root-mean-square error (RMSE) and mean absolute error (MAE), accurately predicting propagation loss at distant locations.
Article
Computer Science, Information Systems
Lorenzo Rubio, Vicent M. Rodrigo Penarrocha, Marta Cabedo-Fabres, Bernardo Bernardo-Clemente, Juan Reig, Herman Fernandez, Jesus R. Perez, Rafael P. Torres, Luis Valle, Oscar Fernandez
Summary: In this paper, the path loss characterization at millimeter-wave frequencies in a typical indoor office environment is studied. The path loss results are derived from measurements collected in the 25-40 GHz frequency band under both line-of-sight and obstructed-LOS conditions. Different models, including the close-in free space reference distance and floating-intercept models, are used to analyze the path loss at different frequencies. The results provide valuable insights into the propagation behavior at mmWave frequencies and are helpful for the simulation and performance evaluation of future wireless communication systems in indoor hotspot environments.
Article
Construction & Building Technology
Yu Chen, Meng Li, Jifu Lu, Bin Chen
Summary: This study analyzes the Pan-China residential environment and health survey data to uncover the complex relationships between residential indoor environment and quality of life. The findings suggest that there is a significant association between overall residential indoor environment and physical/mental health conditions, even after adjusting for potential confounding factors. The study also identifies specific pairs of residential environmental problems that have combined effects on physical/mental health. By disentangling these relationships, this study provides a basis for developing strategies to improve quality of life.
BUILDING AND ENVIRONMENT
(2023)
Article
Geosciences, Multidisciplinary
Matthias Roethlisberger, Lukas Papritz
Summary: This study quantifies the relative importance of physical processes causing heat waves by evaluating the T' budget along air-parcel trajectories. It finds that diabatic heating and to a lesser extent adiabatic warming were the primary causes of extreme near-surface temperature anomalies during the 2021 heat wave in western North America. The study also reveals geographical variations in the dominance of advection, adiabatic warming, and diabatic heating in forming hot extremes.
Article
Green & Sustainable Science & Technology
Fernando del Ama Gonzalo, Matthew Griffin, Jacob Laskosky, Peter Yost, Roberto Alonso Gonzalez-Lezcano
Summary: Several studies have been conducted on indoor air quality and sick building syndromes, especially in cold countries. This paper analyzed the infiltration rates, indoor temperatures, and variations in CO2, PM2.5, and TVOC concentrations in several homes in New England, USA. The results showed that natural ventilation and air leakage were sufficient to maintain acceptable levels of VOCs and PM2.5 for most of the time, but occupants were exposed to potentially hazardous levels of CO2 during a specific timeframe.
Article
Environmental Sciences
Meinan Wang, Qingqing Li, Feng Wang, Zhaojing Yuan, Liang Wang, Xiaolong Zhou
Summary: The widespread use of air conditioning has led to a significant increase in energy consumption, and finding a solution to reduce this consumption is crucial. This study analyzed the operation patterns of air conditioning, indoor thermal environment, residents' comfort, and energy consumption in multi-residential buildings in hot summer and warm winter zones through field measurements and questionnaire surveys. The majority of observed indoor temperatures fell within the range of 28-30 degrees Celsius. However, due to high relative humidity exceeding 90%, some residential indoor environments posed a risk of heatstroke. A thermal neutral temperature of 28.4 degrees Celsius was identified, with an acceptable temperature range of 27.1 to 29.6 degrees Celsius, higher than other climate zones. Furthermore, simulation using the Energy-Plus software demonstrated that every 1-degree Celsius increase in the set temperature resulted in approximately a 20% reduction in cooling energy consumption. It was found that setting the air conditioning temperature to maintain the actual indoor temperature around 28-29 degrees Celsius, along with appropriate service time and switching behavior, positively affected energy consumption reduction.
Article
Construction & Building Technology
Obaidullah Yaqubi, Auline Rodler, Sihem Guernouti, Marjorie Musy
Summary: Expected global warming and heatwaves, coupled with the urban heat island effect, can cause indoor overheating in free-floating buildings in temperate climate regions. This article proposes a practical approach to generate future weather datasets using regional climate model data and investigates their potential in assessing indoor overheating considering the urban heat island effect.
BUILDING AND ENVIRONMENT
(2022)
Article
Thermodynamics
Amir Moradi, Miroslava Kavgic, Vincenzo Costanzo, Gianpiero Evola
Summary: Climate significantly affects the energy performance of buildings, especially with global weather changes. Therefore, choosing appropriate weather data for building energy simulation is crucial. This study examines the use of different weather datasets for building performance simulation, focusing on the statistical relevance of using a typical weather year (TWY) compared to actual weather years (AWY), and the role of building features in the discrepancies between the two simulations. Results show that buildings designed using TWYs may not perform as expected under actual weather conditions.
Article
Engineering, Electrical & Electronic
Farshad Miramirkhani, Mehdi Karbalayghareh, Engin Zeydan, Rangeet Mitra
Summary: Visible light communication (VLC) has emerged as a viable option for high data rate communications for beyond-5G indoor systems. This paper investigates the network requirements of 5G indoor services using VLC and proposes mitigation techniques and an adaptive transmission method. Simulation results show significant improvement in error rate performance with the adaptive transmission method.
PHYSICAL COMMUNICATION
(2022)
Article
Environmental Sciences
Jiayu Li, Bohong Zheng, Komi Bernard Bedra, Zhe Li, Xiao Chen
Summary: Building height, building density, and floor area ratio are key parameters in urban planning. This study investigated their impact on indoor air temperatures in Singapore and found that building density has the most significant influence, followed by building height, while the influence of floor area ratio is the most complex.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2022)
Article
Construction & Building Technology
Jie Gao, Yi Wang, Xiaozhou Wu, Yashan Cui
Summary: The study introduces Δt(r-a) as a potential evaluation index to be integrated with indoor WBGT to assess hot indoor environments with hot surfaces. Results show linear and nonlinear relationships between indoor air temperature, mean radiant temperature and indoor WBGT, suggesting potential value of Δt(r-a) for assessing indoor hot environments.
INDOOR AND BUILT ENVIRONMENT
(2022)
Article
Chemistry, Analytical
Ze-Yu Wang, Ji Young Cho
Summary: Older adults spend more time in indoor residential environments and have a higher risk of accidents due to declining visual and cognitive abilities. This study used eye-tracking technology to examine the impact of color in living environments on the visual attention of older adults. The results showed that using red colors on doors improved their visibility and attracted more attention from older adults, enhancing their safety and quality of life.
Review
Construction & Building Technology
Xuyuan Kang, Jingjing An, Da Yan
Summary: The building sector plays a significant role in energy consumption and carbon emissions. Increasing the use of renewable energy in buildings is crucial for achieving carbon neutrality. This study reviews the current status and future challenges of building electricity use profile models and highlights the importance of understanding building electricity use profiles for energy system design and electricity distribution network planning. The paper discusses key perspectives for future research, including model temporal scales, aggregation of electricity use profiles, occupant-driven environment-interactive model structures, and appropriate model evaluation. It aims to inform and inspire future research on building electricity use profiles and support the design of sustainable building systems and energy distribution networks.
ENERGY AND BUILDINGS
(2023)
Article
Construction & Building Technology
Xue Liu, Shan Hu, Da Yan
Summary: The study aims to extract typical occupancy patterns of households and quantify the correlations between household occupancy patterns and socio-demographic characteristics using statistical approaches. The results revealed significant associations between occupancy patterns and socio-demographic characteristics such as occupant age, employment status, and household composition. The statistical quantitative analysis can be used to estimate household occupancy patterns and reduce the performance gap between building energy simulation and actual energy consumption.
ENERGY AND BUILDINGS
(2023)
Article
Thermodynamics
Jie Xiong, Siyue Guo, Yi Wu, Da Yan, Chan Xiao, Xi Lu
Summary: Climate change will affect building heating and cooling demands. To anticipate these changes, this study used meteorological data generated from global climate models to simulate the impacts on heating and cooling loads. By 2060, it is estimated that the total energy consumption in urban residential buildings will increase by 5%, with a higher percentage of cooling energy use. Enhanced building thermal performance can effectively reduce both heating and cooling demand, diminishing the effects of climate change.
Article
Green & Sustainable Science & Technology
Shuai Tian, Yuxin Lu, Xin Zhou, Lun Zhang, Jingjing An, Da Yan, Xing Shi, Xing Jin
Summary: Solar hot water (SHW) systems are widely used in residential buildings for energy conservation and emission reduction. However, there is a lack of synergistic optimization analysis of the supply-demand matching process. This study proposed quantitative methods to describe the supply- and demand-side equivalent profiles of SHW systems and analyzed commonly used regulation measures on both sides. The results showed that the proposed supply-demand matching optimization process can significantly increase the annual solar energy utilization rate.
Article
Construction & Building Technology
Changcheng Chen, Jingjing An, Chuang Wang, Xiaorong Duan, Shiyu Lu, Hangyu Che, Meiwei Qi, Da Yan
Summary: Indoor temperature and relative humidity control in office buildings is crucial for thermal comfort, work efficiency, and occupant health. Conventional control methods often overlook the impact of indoor relative humidity by focusing solely on temperature. This study proposes a deep reinforcement learning algorithm for adjusting the air supply volume of fan coil units (FCUs) in office buildings, considering both temperature and relative humidity. The algorithm was trained, tested, and evaluated using a simulation environment model, and its results showed improved control satisfaction rates compared to traditional controllers.
Article
Construction & Building Technology
Wooyoung Jung, Zhe Wang, Tianzhen Hong, Farrokh Jazizadeh
Summary: This study introduces representative occupancy schedules in the U.S. residential buildings derived from a large smart thermostat dataset and time-series K-means clustering, and develops an open-source tool to generate a stochastic residential occupancy schedule. Over 90,000 residential occupancy schedules were estimated from the ecobee Donate Your Data dataset, and the representative occupancy schedules were identified through clustering. The derived representative occupancy schedules and the ROSS tool can help improve the energy modeling of residential buildings.
BUILDING AND ENVIRONMENT
(2023)
Article
Construction & Building Technology
Fan Bu, Xuyuan Kang, Da Yan, Ruhong Wu, Hongsan Sun, Jingjing An, Xiao Wang
Summary: Building thermal process simulation is an effective technique for analyzing building energy consumption. This study proposes a new computing architecture to optimize the state-space method in building energy simulation tools. Parallelizing the simulation process significantly accelerates the computing power.
ENERGY AND BUILDINGS
(2023)
Article
Construction & Building Technology
Chenyang Peng, Zhihua Chen, Jingjing Yang, Zhaoru Liu, Da Yan, Yixing Chen
Summary: This paper evaluates the electricity consumption reduction potential for buildings in Changsha under different demand response strategies. Sixtysix prototype energy models for twenty-two building types were selected to represent 59,332 buildings in Changsha, and three demand response strategies were implemented. The results show that the electricity consumption reductions range from 7.94% to 22.00% under different strategies and their combinations.
ENERGY AND BUILDINGS
(2023)
Article
Construction & Building Technology
Xiaoyu Jia, Yiqun Pan, Mingya Zhu, Han Zhu, Zhengrong Li, Jingsi Zhang, Xiang Zhou, Song Pan, Chuang Wang, Da Yan, Zejun Wu, Huiyan Deng, Yuan Pan, Jiantong Xie, Lei Xu
Summary: This research paper presents the development of occupant behavior modules in DeST 3.0 and discusses the effects of integrated simulation of occupant behavior on building energy consumption through two case studies.
ENERGY AND BUILDINGS
(2023)
Review
Green & Sustainable Science & Technology
Shan Hu, Xin Zhou, Da Yan, Fei Guo, Tianzhen Hong, Yi Jiang
Summary: Building Energy Sufficiency (BES) is gaining attention as an important framework for reducing energy use and carbon emissions in buildings. However, there is a lack of research on the drivers, technologies, and policy instruments needed to achieve BES during the building operational phase. This study provides a systematic review of BES and suggests that it should address both occupant demand and energy requirements. The characteristics of occupant demand and technical options for building systems are discussed, along with policy implications and recommendations. Further research and policy implementation in both developed and developing countries are justified due to the multiple benefits and multidisciplinary nature of BES.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2023)
Article
Construction & Building Technology
Ziqi Lin, Tianzhen Hong, Xiaodong Xu, Jiayu Chen, Wei Wang
Summary: The use of Urban Building Energy Models (UBEM) is an effective method to evaluate the performance and efficiency of building upgrades in urban contexts. However, as the scale and number of buildings increase, there is a greater need for collecting more parameters, resulting in higher uncertainties. This study created a UBEM for a campus in China, analyzing the uncertainties of energy-savings for different building energy retrofit measures. The study provides valuable insights for evaluating energy-efficient retrofits and other energy-related studies that consider uncertainties.
SUSTAINABLE CITIES AND SOCIETY
(2023)
Editorial Material
Psychology, Biological
Jeetika Malik, Tianzhen Hong, Max Wei, Sea Rotmann
Summary: Human behavioral change is crucial for reducing carbon emissions from buildings. We propose a sufficiency-oriented approach that promotes equitable decarbonization of buildings while respecting planetary boundaries.
NATURE HUMAN BEHAVIOUR
(2023)
Article
Construction & Building Technology
Yi Wu, Jingjing An, Mingyang Qian, Da Yan
Summary: This study proposes a systematic technical framework for determining the appropriate level of detail for modeling occupant air-conditioning use behavior in building energy simulation. The framework includes defining applications and key performance indicators, identifying comparable levels of detail, and selecting the appropriate level based on analysis. Different levels of detail are recommended for different applications, providing guidance for future projects.
JOURNAL OF BUILDING ENGINEERING
(2023)
Article
Construction & Building Technology
Jingjing An, Xin Zhou, Da Yan
Summary: Energy consumption in residential buildings is a significant part of global energy use. This study focuses on understanding the load characteristics of residential buildings of different scales and their impact on HVAC system design. By analyzing monitoring data from a residential district in Zhengzhou, China, the study explores the differences in load characteristics among households and the effect on heating, ventilation, and air conditioning systems.
Article
Construction & Building Technology
Jiwon Park, Kwang Ho Lee, Sang Hoon Lee, Tianzhen Hong
Summary: This study assessed the energy-saving and climate-adaptive potential of cool skin and ventilated cavity skin facade technologies in high-rise apartment buildings. The results indicate that these technologies can save cooling energy in summers but increase heating energy consumption in winters. Ventilated cavity skin outperforms cool skin, offering better cooling energy savings and reduced heating penalties.
BUILDING AND ENVIRONMENT
(2024)
Article
Energy & Fuels
Shitong Fang, Houfan Du, Tao Yan, Keyu Chen, Zhiyuan Li, Xiaoqing Ma, Zhihui Lai, Shengxi Zhou
Summary: This paper proposes a new type of nonlinear VIV energy harvester (ANVEH) that compensates for the decrease in peak energy output at low wind speeds by introducing an auxiliary structure. Theoretical and experimental results show that ANVEH performs better than traditional nonlinear VIV energy harvesters under various system parameter variations.
Article
Energy & Fuels
Wei Jiang, Shuo Zhang, Teng Wang, Yufei Zhang, Aimin Sha, Jingjing Xiao, Dongdong Yuan
Summary: A standardized method was developed to evaluate the availability of solar energy resources in road areas, which combined the Analytic Hierarchy Process (AHP) and the Geographic Information System (GIS). By analyzing critical factors and using a multi-indicator evaluation method, the method accurately evaluated the utilization of solar energy resources and guided the optimal location selection for road photovoltaic (PV) projects. The results provided guidance for the application of road PV projects and site selection for route corridors worldwide, promoting the integration of transportation and energy.
Article
Energy & Fuels
Chang Liu, Jacob A. Wrubel, Elliot Padgett, Guido Bender
Summary: The study investigates the effects of coating defects on the performance of the anode porous transport layer (PTL) in water electrolyzers. The results show that an increasing fraction of uncoated regions on the PTL leads to decreased cell performance, with continuous uncoated regions having a more severe impact compared to multiple thin uncoated strips.
Article
Energy & Fuels
Marcos Tostado-Veliz, Xiaolong Jin, Rohit Bhakar, Francisco Jurado
Summary: In this paper, a coordinated charging price mechanism for clusters of parking lots is proposed. The research shows that enabling vehicle-to-grid characteristics can bring significant economic benefits for users and the cluster coordinator, and vehicle-to-grid impacts noticeably on the risk-averse character of the uncertainty-aware strategies. The developed pricing mechanism can reduce the cost for users, avoiding to directly translate the energy cost to charging points.
Article
Energy & Fuels
Duan Kang
Summary: Building an energy superpower is a key strategy for China and a long-term goal for other countries. This study proposes an evaluation system and index for measuring energy superpower, and finds that China has significantly improved its ranking over the past 21 years, surpassing other countries.
Article
Energy & Fuels
Fucheng Deng, Yifei Wang, Xiaosen Li, Gang Li, Yi Wang, Bin Huang
Summary: This study investigated the synergistic blockage mechanism of sand and hydrate in gravel filling layer and the evolution of permeability in the layer. Experimental models and modified permeability models were established to analyze the effects of sand particles and hydrate formation on permeability. The study provided valuable insights for the safe and efficient exploitation of hydrate reservoirs.
Article
Energy & Fuels
Hao Wang, Xiwen Chen, Natan Vital, Edward Duffy, Abolfazl Razi
Summary: This study proposes a HVAC energy optimization model based on deep reinforcement learning algorithm. It achieves 37% energy savings and ensures thermal comfort for open office buildings. The model has a low complexity, uses a few controllable factors, and has a short training time with good generalizability.
Article
Energy & Fuels
Moyue Cong, Yongzhuo Gao, Weidong Wang, Long He, Xiwang Mao, Yi Long, Wei Dong
Summary: This study introduces a multi-strategy ultra-wideband energy harvesting device that achieves high power output without the need for external power input. By utilizing asymmetry, stagger array, magnetic coupling, and nonlinearity strategies, the device maintains a stable output voltage and high power density output at non-resonant frequencies. Temperature and humidity monitoring are performed using Bluetooth sensors to adaptively assess the device.
Article
Energy & Fuels
Tianshu Dong, Xiudong Duan, Yuanyuan Huang, Danji Huang, Yingdong Luo, Ziyu Liu, Xiaomeng Ai, Jiakun Fang, Chaolong Song
Summary: Electrochemical water splitting is crucial for hydrogen production, and improving the hydrogen separation rate from the electrode is essential for enhancing water electrolyzer performance. However, issues such as air bubble adhesion to the electrode plate hinder the process. Therefore, a methodology to investigate the two-phase flow within the electrolyzer is in high demand. This study proposes using a microfluidic system as a simulator for the electrolyzer and optimizing the two-phase flow by manipulating the micro-structure of the flow.
Article
Energy & Fuels
Shuo Han, Yifan Yuan, Mengjiao He, Ziwen Zhao, Beibei Xu, Diyi Chen, Jakub Jurasz
Summary: Giving full play to the flexibility of hydropower and integrating more variable renewable energy is of great significance for accelerating the transformation of China's power energy system. This study proposes a novel day-ahead scheduling model that considers the flexibility limited by irregular vibration zones (VZs) and the probability of flexibility shortage in a hydropower-variable renewable energy hybrid generation system. The model is applied to a real hydropower station and effectively improves the flexibility supply capacity of hydropower, especially during heavy load demand in flood season.
Article
Energy & Fuels
Zhen Wang, Kangqi Fan, Shizhong Zhao, Shuxin Wu, Xuan Zhang, Kangjia Zhai, Zhiqi Li, Hua He
Summary: This study developed a high-performance rotary energy harvester (AI-REH) inspired by archery, which efficiently accumulates and releases ultralow-frequency vibration energy. By utilizing a magnetic coupling strategy and an accumulator spring, the AI-REH achieves significantly accelerated rotor speeds and enhanced electric outputs.
Article
Energy & Fuels
Yi Yang, Qianyi Xing, Kang Wang, Caihong Li, Jianzhou Wang, Xiaojia Huang
Summary: In this study, a novel hybrid Quantile Regression (QR) model is proposed for Probabilistic Load Forecasting (PLF). The model integrates causal dilated convolution, residual connection, and Bidirectional Long Short-Term Memory (BiLSTM) for multi-scale feature extraction. In addition, a Combined Probabilistic Load Forecasting System (CPLFS) is proposed to overcome the inherent flaws of relying on a single model. Simulation results show that the hybrid QR outperforms traditional models and CPLFS exceeds the best benchmarks in terms of prediction accuracy and stability.
Article
Energy & Fuels
Wen-Jiang Zou, Young-Bae Kim, Seunghun Jung
Summary: This paper proposes a dynamic prediction model for capacity fade in vanadium redox flow batteries (VRFBs). The model accurately predicts changes in electrolyte volume and capacity fade, enhancing the competitiveness of VRFBs in energy storage applications.
Article
Energy & Fuels
Yuechao Ma, Shengtie Wang, Guangchen Liu, Guizhen Tian, Jianwei Zhang, Ruiming Liu
Summary: This paper focuses on the balance of state of charge (SOC) among multiple battery energy storage units (MBESUs) and bus voltage balance in an islanded bipolar DC microgrid. A SOC automatic balancing strategy is proposed considering the energy flow relationship and utilizing the adaptive virtual resistance algorithm. The simulation results demonstrate the effectiveness of the proposed strategy in achieving SOC balancing and decreasing bus voltage unbalance.
Article
Energy & Fuels
Raad Z. Homod, Basil Sh. Munahi, Hayder Ibrahim Mohammed, Musatafa Abbas Abbood Albadr, Aissa Abderrahmane, Jasim M. Mahdi, Mohamed Bechir Ben Hamida, Bilal Naji Alhasnawi, A. S. Albahri, Hussein Togun, Umar F. Alqsair, Zaher Mundher Yaseen
Summary: In this study, the control problem of the multiple-boiler system (MBS) is formulated as a dynamic Markov decision process and a deep clustering reinforcement learning approach is applied to obtain the optimal control policy. The proposed strategy, based on bang-bang action, shows superior response and achieves more than 32% energy saving compared to conventional fixed parameter controllers under dynamic indoor/outdoor actual conditions.
