Article
Construction & Building Technology
Alan Meier, Dan Cautley
Summary: Non-intrusive load monitoring system (NILM) in commercial buildings faces challenges in load disaggregation due to the number and complexity of loads, difficulty in interpreting small changes in power consumption, and inability to identify continuously operating loads. Obtaining data sets for evaluation of NILM technologies in actual buildings is hindered by disruptions to occupants, misidentification errors, measurement errors, and expense. Enhancements to basic NILM approaches include tagging key devices, hybrid or supplemental metering, and applying insights from engineering knowledge and audits.
ENERGY AND BUILDINGS
(2021)
Article
Green & Sustainable Science & Technology
Abdultawab M. Qahtan
Summary: The thermal performance of the Reversible Smart Insulated Window Glazing (RSIWG) system in controlling solar heat gain in extreme climates was evaluated through laboratory experiments and analytical methods. The findings show that SIWG-colo reduces heat gain by 26% and 78% compared to double insulated glazing and clear glass, making it suitable for cooling seasons. On the other hand, SIWG-rev-colo exhibits slightly less heat loss, making it suitable for heating seasons, especially in the absence of solar radiation. Further research on multi-layer PDLC incorporating vacuum glass is recommended.
ENERGY FOR SUSTAINABLE DEVELOPMENT
(2023)
Article
Energy & Fuels
Mahdi Ghafoori, Moatassem Abdallah, Serena Kim
Summary: This study presents the development of a system that can predict building electricity demand and determine optimal schedules for charging and discharging electric vehicles to minimize peak demand. The system uses machine learning models to predict electrical power demand and an optimization model to identify the best charging and discharging schedules. The implementation of this system provides practical solutions for managing electricity demand in commercial buildings.
Article
Environmental Sciences
R. J. Kavitha, C. Thiagarajan, P. Indira Priya, A. Vivek Anand, Essam A. Al-Ammar, Madhappan Santhamoorthy, P. Chandramohan
Summary: In the digital era, energy efficient building is a popular research topic due to increasing concerns about their environmental impact and energy consumption. Designing a suitable building layout, including overall areas, glazing area distribution, orientation, height, and compactness, has a direct impact on the heating load and cooling load of residential buildings. Accurately predicting these loads is crucial for effective energy management and improved quality of life.
Review
Green & Sustainable Science & Technology
Hongxiang Fu, Juan-Carlos Baltazar, David E. Claridge
Summary: Building energy consumption is a significant field of study, with statistical methods being popular due to their simplicity and accuracy in predicting energy consumption. However, there is still limited research on the applications of statistical methods in certain areas such as modeling electric demand and power factor. Further exploration and application of these methods are needed to advance research in building energy analysis.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Construction & Building Technology
Kashif Irshad, Md Hasan Zahir, Mahaboob Sharief Shaik, Amjad Ali
Summary: The research aims to develop an intelligent data-driven load forecast model for building heating and cooling loads, which improves the energy efficiency of buildings by selecting the most effective input parameters and developing high-accuracy prediction models. A novel intelligent data-driven load prediction method is introduced and its effectiveness is validated through comparison with conventional methods.
Article
Multidisciplinary Sciences
Jaafar Jaber Abdulhameed, Tawfeeq Wasmi Mohammed
Summary: This study investigates the effect of using a nanocomposite layer in reducing heat gain in a hot arid region. The data collected shows that the nanocomposite layer can eliminate up to 73% of heat gain compared to traditional single-glass windows and 58% compared to air-filled double-glazing windows.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2023)
Article
Construction & Building Technology
Mashud Rana, Subbu Sethuvenkatraman, Mark Goldsworthy
Summary: Reliable prediction of thermal load is crucial for energy management in commercial buildings. This study focuses on forecasting prediction intervals for building thermal load, which can quantify uncertainty and enable effective energy market exploitation. A data-driven approach using machine learning and quantile regression forest is proposed, which generates narrow and reliable prediction intervals for building cooling load.
SUSTAINABLE CITIES AND SOCIETY
(2022)
Article
Construction & Building Technology
Jacques A. de Chalendar, Caitlin McMahon, Lucas Fuentes Valenzuela, Peter W. Glynn, Sally M. Benson
Summary: Buildings account for more than half of global electricity demand, with cooling buildings already representing over 9% of global electricity demand and expected to grow rapidly. Commercial buildings in the US consume 35% of the country's electricity, and increased cooling services demand will strain power grids during peak times. This study explores the potential of HVAC systems in commercial buildings to provide flexibility and respond to demand, based on measurements from six buildings. Adjusting temperature set points resulted in energy demand reductions, while maintaining temperatures within target ranges. This work provides a blueprint for building-level energy-response functions and highlights the importance of testing buildings under different weather conditions.
ENERGY AND BUILDINGS
(2023)
Article
Construction & Building Technology
Fangnan Dong, Junqi Yu, Wei Quan, Yalun Xiang, Xiang Li, Fukang Sun
Summary: This paper proposes a new hybrid model based on decoupled weight decay Adam optimized improved LSTM neural network for predicting the cooling load of buildings. Experimental results show that the model has better performance in accuracy and stability, and can provide important guidance for energy management and scheduling of buildings.
ENERGY AND BUILDINGS
(2022)
Article
Thermodynamics
Zhikun Gao, Junqi Yu, Anjun Zhao, Qun Hu, Siyuan Yang
Summary: The hybrid prediction model RF-IPWOA-ELM is proposed and demonstrated to have high prediction accuracy and short prediction time for cooling load forecasting in large commercial buildings. It shows effectiveness in predicting cooling loads in different months and with limited training samples, indicating strong generalization ability and importance for energy conservation and management in air conditioning systems.
Article
Construction & Building Technology
Yun Mao, Junqi Yu, Na Zhang, Fangnan Dong, Meng Wang, Xiang Li
Summary: In this study, a novel model based on the nonlinear chaotic mapping Harris Hawks Optimization algorithm was proposed for accurate building cooling load prediction. The experimental results show that the model outperforms traditional methods in terms of accuracy and generalization.
JOURNAL OF BUILDING ENGINEERING
(2023)
Article
Construction & Building Technology
Ali Heydari, Seyed Esmaeil Sadati, Mohammad Reza Gharib
Summary: This research used DesignBuilder software to simulate building energy efficiency, investigating the impact of different window configurations on energy consumption, with a focus on local climate conditions. By analyzing the heat transfer coefficient and cooling/heating load of single-pane and double-pane windows, the optimal window configuration for the Semnan climate conditions was identified.
JOURNAL OF BUILDING ENGINEERING
(2021)
Article
Chemistry, Analytical
Rajasekhar Chaganti, Furqan Rustam, Talal Daghriri, Isabel de la Torre Diez, Juan Luis Vidal Mazon, Carmen Lili Rodriguez, Imran Ashraf
Summary: This study focuses on building energy consumption prediction using a data-driven approach. An ensemble model is proposed to achieve better prediction for cooling and heating load. The study finds that relative compactness, surface area, and wall area play a significant role in determining the appropriate cooling and heating load for a building. The proposed model outperforms existing state-of-the-art models in terms of prediction accuracy and can contribute to the design of energy-efficient buildings in future smart homes.
Article
Energy & Fuels
Dashe Chidubem Iluyemi, Srijita Nundy, Saboor Shaik, Asif Tahir, Aritra Ghosh
Summary: Worldwide energy consumption and CO2 emissions are increasing annually, with the building industry being the largest contributor. The residential building sector consumes the most energy within the industry. Reducing energy losses through elements like windows is a way to combat rising energy consumption. Smart switchable glazing can save energy by adjusting its properties based on user preferences or external factors.
Article
Physics, Multidisciplinary
Yue-Liang Wu, Zi-Ren Luo, Jian-Yu Wang, Meng Bai, Wei Bian, Rong-Gen Cai, Zhi-Ming Cai, Jin Cao, Di-Jun Chen, Ling Chen, Li-Sheng Chen, Ming-Wei Chen, Wei-Biao Chen, Ze-Yi Chen, Lin-Xiao Cong, Jian-Feng Deng, Xiao-Long Dong, Li Duan, Sen-Quan Fan, Shou-Shan Fan, Chao Fang, Yuan Fang, Ke Feng, Pan Feng, Zhun Feng, Rui-Hong Gao, Run-Lian Gao, Zong-Kuan Guo, Jian-Wu He, Ji-Bo He, Xia Hou, Liang Hu, Wen-Rui Hu, Zhi-Qiang Hu, Min-Jie Huang, Jian-Jun Jia, Kai-Li Jiang, Gang Jin, Hong-Bo Jin, Qi Kang, Jun-Gang Lei, Bo-Quan Li, Dong-Jing Li, Fan Li, Hao-Si Li, Hua-Wang Li, Liu-Feng Li, Wei Li, Xiao-Kang Li, Ying-Min Li, Yong-Gui Li, Yun-Peng Li, Yu-Peng Li, Zhe Li, Zhi-Yong Lin, Chang Liu, Dong-Bin Liu, He-Shan Liu, Hong Liu, Peng Liu, Yu-Rong Liu, Zong-Yu Lu, Hong-Wei Luo, Fu-Li Ma, Long-Fei Ma, Xiao-Shan Ma, Xin Ma, Yi-Chuan Man, Jian Min, Yu Niu, Jian-Kang Peng, Xiao-Dong Peng, Ke-Qi Qi, Li-E Qiang, Cong-Feng Qiao, Ye-Xi Qu, Wen-Hong Ruan, Wei Sha, Jia Shen, Xing-Jian Shi, Rong Shu, Ju Su, Yan-Lin Sui, Guang-Wei Sun, Wen-Lin Tang, Hong-Jiang Tao, Wen-Ze Tao, Zheng Tian, Ling-Feng Wan, Chen-Yu Wang, Jia Wang, Juan Wang, Lin-Lin Wang, Shao-Xin Wang, Xiao-Peng Wang, Yu-Kun Wang, Zhi Wang, Zuo-Lei Wang, Yu-Xiao Wei, Di Wu, Li-Ming Wu, Peng-Zhan Wu, Zhi-Hua Wu, Dong-Xue Xi, Yi-Fang Xie, Guo-Feng Xing, Lu-Xiang Xu, Peng Xu, Shu-Yan Xu, Yu Xu, Sen-Wen Xue, Zhang-Bin Xue, Chao Yang, Ran Yang, Shi-Jia Yang, Shuang Yang, Yong Yang, Zhong-Guo Yang, Yong-Li Yin, Jin-Pei Yu, Tao Yu, Ai-Bing Zhang, Chu Zhang, Min Zhang, Xue-Quan Zhang, Yuan-Zhong Zhang, Jian Zhao, Wei-Wei Zhao, Ya Zhao, Jian-Hua Zheng, Cui-Yun Zhou, Zhen-Cai Zhu, Xiao-Bo Zou, Zi-Ming Zou
Summary: The article discusses the potential of using a space borne gravitational wave detector network combining LISA and Taiji to measure the Hubble constant with greater accuracy compared to ground based detectors. Taiji, a Chinese space mission planned for launch in the early 2030s, has already conducted a pilot satellite mission to verify its feasibility. The study also presents the findings of some technology tests conducted on the Taiji-1 satellite mission.
COMMUNICATIONS PHYSICS
(2021)
Article
Physics, Nuclear
Xiaodong Peng, Hongbo Jin, Peng Xu, Zhi Wang, Ziren Luo, Xiaoshan Ma, Li-E Qiang, Wenlin Tang, Xin Ma, Yuzhu Zhang, Zuolei Wang, Pengzhan Wu, Xiaoqin Deng, Haosi Li, Liming Wu, Juan Wang, Yuxiao Wei, Zhiyong Lin, Chen Gao, Mengyuan Zhao
Summary: Taiji-1, the first satellite of the Taiji Program, has completed its nominal science operational phase and successfully accomplished the mission goal. This work reports on the methods employed in Taiji-1 GRS data processing to improve data quality and performance estimations.
INTERNATIONAL JOURNAL OF MODERN PHYSICS A
(2021)
Review
Construction & Building Technology
Yuchen Ji, Jusheng Song, Pengyuan Shen
Summary: This paper discusses the influence of solar radiation on human thermal comfort and applies and discusses thermophysiological models and thermal comfort models. The key factors to consider in establishing dynamic thermal comfort models are highlighted.
BUILDING AND ENVIRONMENT
(2022)
Article
Astronomy & Astrophysics
Yuchan Yang, Wen-Biao Han, Qianyun Yun, Peng Xu, Ziren Luo
Summary: This work discusses the improvement that the joint network of LISA and Taiji could provide on exploring two kinds of black hole formation mechanisms. The joint network has the potential to observe growing light seeds in the range 15 < z < 20, shedding light on the light seeding mechanism. For primordial origin, the joint network expands LISA's horizon towards lower mass end, increasing the chance of observing primordial black holes. The joint network also significantly improves the estimation of parameters.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2022)
Article
Construction & Building Technology
Dachuan Shi, Yafeng Gao, Peng Zeng, Baizhan Li, Pengyuan Shen, Chaoqun Zhuang
Summary: Green roofs and natural night ventilation are two techniques that can improve building energy efficiency. This study proposes a systematic approach that combines field testing, sensitivity analysis, building energy simulation, and climate adaptive optimization to quantitatively assess the energy savings of integrating these two techniques. The results show that the choice of plant species in the system and the design based on future weather impacts can significantly reduce annual energy use in new buildings.
BUILDING AND ENVIRONMENT
(2022)
Article
Energy & Fuels
Qingye Yu, Sinan Li, Pengyuan Shen, Yuchen Ji, Kwok-shing Wong, Yiting Zhang
Summary: This paper aims to analyze the distribution efficiency of DC power distribution system in commercial building based on measured data. The study finds that load type, voltage level, and loading conditions affect the distribution efficiency.
Article
Multidisciplinary Sciences
Hui Du, Pengyuan Shen, Wai Siong Chai, Dongxue Nie, Chengcheng Shan, Lei Zhou
Summary: Carbon reduction in the building sector is crucial. A CCHP system using ammonia as the fuel source is proposed, and it is found that green ammonia is more economically competitive than brown ammonia.
Article
Construction & Building Technology
Pengyuan Shen, Meilin Wang, Junhuan Liu, Yuchen Ji
Summary: This study evaluates the impact of climate change on urban climate by coupling the UHI model with projections from various GCMs. The results show that considering the UHI effect significantly improves the prediction accuracy of air temperature. The projections for Shenzhen from 2020 to 2099 indicate a significant reduction in heating degree days and an increase in cooling degree days, which will have considerable impacts on building energy use in the urban area.
ENERGY AND BUILDINGS
(2023)
Article
Construction & Building Technology
Yu Li, Lingling Li, Pengyuan Shen
Summary: This study proposes a multi-phase and multi-objective optimization approach to improve visual comfort in national fitness halls by considering sports behavior uncertainty. Specifically, a surrogate-based multi-objective optimization workflow is developed and a probabilistic behavior model is created. The study demonstrates the effectiveness of the proposed approach in predicting visual comfort and saving computational time. It also highlights the impact of sports behavior uncertainty on visual comfort assessment in tennis sports and explores the potential of court location and layout arrangement for multi-purpose usage consideration in national fitness halls.
BUILDING AND ENVIRONMENT
(2023)
Article
Construction & Building Technology
Yu Li, Lingling Li, Pengyuan Shen, Chao Yuan
Summary: Most visual comfort analysis in sports spaces is limited to fixed view scenes, but this paper proposes an occupant-centric approach that considers the occupants' movement behavior in order to assess and optimize spatio-temporal visual comfort. By introducing movable view scenes and using GPU-based parallel simulation, the proposed approach can clarify the spatial and temporal variation of visual comfort across different views, while reducing computational time. Applied to a real case building, the results show significant improvements in visual comfort and computational efficiency.
INDOOR AND BUILT ENVIRONMENT
(2023)
Article
Construction & Building Technology
Shihao Li, Meilin Wang, Pengyuan Shen, Xue Cui, Linqian Bu, Ruji Wei, Longzhu Zhang, Chengjia Wu
Summary: This research examines the retrofitting of traditional rammed earth houses in the Lingnan region of south China, analyzing the suitability of different technologies. By considering the current state of the buildings, five retrofitting measures are proposed to optimize energy consumption and indoor thermal comfort. The results show that the proposed strategy holds significant energy-saving potential for the residential sectors in the region.
Article
Astronomy & Astrophysics
Gang Wang, Bin Li, Peng Xu, Xilong Fan
Summary: In this study, we characterize the noise components in LISA gravitational wave data by combining TDI channels from Michelson and Relay configurations. Based on the noise characterization, we reconstruct the noise power spectrum and estimate the parameters and spectrum of stochastic gravitational wave signals.
Article
Engineering, Aerospace
Liming Wu, Peng Xu, Shuhong Zhao, Li-E Qiang, Ziren Luo, Yueliang Wu
Summary: Taiji-1 is the first technology demonstration satellite of China's Taiji program for space-borne gravitational wave antenna. It collects data to serve as a gravity recovery mission for China, providing independent measurement of the global static and monthly time-variable gravity field.
MICROGRAVITY SCIENCE AND TECHNOLOGY
(2022)
Article
Engineering, Aerospace
Xiaokang Li, Heshan Liu, Pengzhan Wu, Haosi Li, Peng Xu, Ziren Luo
Summary: The laser frequency fluctuation leads to significant phase noise in the interferometer, which is a major challenge in space-borne gravitational wave detection missions. To address this issue, a post data processing method called time delay interferometer was developed and experimentally validated. The experimental results showed that the time delay interferometer could suppress the laser frequency fluctuation noise by more than 6 orders in the frequency band from 1 mHz to 0.1 Hz.
MICROGRAVITY SCIENCE AND TECHNOLOGY
(2022)
Article
Construction & Building Technology
Meilin Wang, Pengyuan Shen
Summary: The unique climate on cold plateaus leads to different indoor thermal environments compared to plain areas. This study focused on the indoor non-uniform temperature distributions with radiator and solar radiation in an office building in Lhasa. The research findings indicate that solar radiation and radiators have a significant impact on the uniformity of the indoor thermal environment.
Article
Construction & Building Technology
Samiran Khorat, Debashish Das, Rupali Khatun, Sk Mohammad Aziz, Prashant Anand, Ansar Khan, Mattheos Santamouris, Dev Niyogi
Summary: Cool roofs can effectively mitigate heatwave-induced excess heat and enhance thermal comfort in urban areas. Implementing cool roofs can significantly improve urban meteorology and thermal comfort, reducing energy flux and heat stress.
ENERGY AND BUILDINGS
(2024)
Article
Construction & Building Technology
Qi Li, Jiayu Chen, Xiaowei Luo
Summary: This study focuses on the vertical wind conditions as a main external factor that limits the energy assessment of high-rise buildings in urban areas. Traditional tools for energy assessment of buildings use a universal vertical wind profile estimation, without taking into account the unique wind speed in each direction induced by the various shapes and configurations of buildings in cities. To address this limitation, the study developed an omnidirectional urban vertical wind speed estimation method using direction-dependent building morphologies and machine learning algorithms.
ENERGY AND BUILDINGS
(2024)
Article
Construction & Building Technology
Xiaojun Luo, Lamine Mahdjoubi
Summary: This paper presents an integrated blockchain and machine learning-based energy management framework for multiple forms of energy allocation and transmission among multiple domestic buildings. Machine learning is used to predict energy generation and consumption patterns, and the proposed framework establishes optimal and automated energy allocation through peer-to-peer energy transactions. The approach contributes to the reduction of greenhouse gas emissions and enhances environmental sustainability.
ENERGY AND BUILDINGS
(2024)
Article
Construction & Building Technology
Ying Yu, Yuanwei Xiao, Jinshuai Chou, Xingyu Wang, Liu Yang
Summary: This study proposes a dual-layer optimization design method to maximize the energy sharing potential, enhance collaborative benefits, and reduce the storage capacity of building clusters. Case studies show that the proposed design significantly improves the performance of building clusters, reduces energy storage capacity, and shortens the payback period.
ENERGY AND BUILDINGS
(2024)
Article
Construction & Building Technology
Felix Langner, Weimin Wang, Moritz Frahm, Veit Hagenmeyer
Summary: This paper compares two main approaches to consider uncertainties in model predictive control (MPC) for buildings: robust and stochastic MPC. The results show that compared to a deterministic MPC, the robust MPC increases the electricity cost while providing complete temperature constraint satisfaction, while the stochastic MPC slightly increases the electricity cost but fulfills the thermal comfort requirements.
ENERGY AND BUILDINGS
(2024)
Article
Construction & Building Technology
Somil Yadav, Caroline Hachem-Vermette
Summary: This study proposes a mathematical model to evaluate the performance of a Double Skin Facade (DSF) system and its impact on indoor conditions. The model considers various design parameters and analyzes their effects on the system's electrical output and room temperature.
ENERGY AND BUILDINGS
(2024)
Article
Construction & Building Technology
Ruijun Chen, Holly Samuelson, Yukai Zou, Xianghan Zheng, Yifan Cao
Summary: This research introduces an innovative resilient design framework that optimizes building performance by considering a holistic life cycle perspective and accounting for climate projection uncertainties. The study finds that future climate scenarios significantly impact building life cycle performance, with wall U-value, windows U-value, and wall density being major factors. By using ensemble learning and optimization algorithms, predictions for carbon emissions, cost, and indoor discomfort hours can be made, and the best resilient design scheme can be selected. Applying this framework leads to significant improvements in building life cycle performance.
ENERGY AND BUILDINGS
(2024)
