Article
Construction & Building Technology
Zoran Versic, Marin Binicki, Mateja Nosil Mesic
Summary: The envelope of a building is crucial in determining its energy efficiency. This research aimed to determine the potential of night passive cooling in office buildings located in two different climate zones in Croatia. The results showed significant energy savings can be achieved through appropriate building envelopes and ventilation systems.
Article
Construction & Building Technology
Deepak Amaripadath, Riccardo Paolini, David J. Sailor, Shady Attia
Summary: With the increasing urbanization and higher internal gains, commercial buildings face a greater risk of indoor overheating. This study evaluates the performance of natural and mechanical night ventilation in reducing indoor overheating and energy needs of an office building in Brussels during heat wave and non-heat wave periods. The findings show that natural night ventilation is more effective during heat waves and helps maintain safer heat index values compared to other strategies. The results provide guidelines, recommendations, and identify the need for further research.
JOURNAL OF BUILDING ENGINEERING
(2023)
Article
Construction & Building Technology
Miguel Lanca, Pedro J. Coelho, Joao Viegas
Summary: The study focuses on a novel system using night ventilation for cooling a building's concrete slab. Computational Fluid Dynamics (CFD) was utilized to predict airflow and thermal performance in an office room, with satisfactory results in both reduced and full-scale models. The proposed cooling technique was found to be effective in lowering air and slab temperatures during the day and night, showcasing its potential for energy conservation and environmental protection.
ENERGY AND BUILDINGS
(2021)
Article
Construction & Building Technology
Zhaoji Wu, Yufeng Zhang, Jinbo Mai, Fulin Wang, Yongchao Zhai, Zhongjun Zhang
Summary: In this study, a new adaptation-based control with night ventilation (NV) was proposed and tested in an office building in hot-humid areas. The results showed that the adaptation-based control could reduce energy consumption, and the addition of NV further improved the energy-saving effect.
BUILDING AND ENVIRONMENT
(2023)
Article
Construction & Building Technology
Nuno R. Martins, Peter J. Bourne-Webb
Summary: This study proposes the use of personal comfort systems (PCS) and natural ventilation (NV) to reduce the thermal load imbalance in a cooling-dominated building. Building energy simulations show that hybridization with NV or PCS can increase the energy efficiency of the GSHP system, but only the combination of both NV and PCS can fully meet the thermal load.
ENERGY AND BUILDINGS
(2022)
Article
Construction & Building Technology
Tolga Tamer, Ipek Gursel Dino, Derek K. Baker, Cagla Meral Akgul
Summary: This study presents a framework to assess the performance of buildings utilizing PCM wallboards under climate change. PCM wallboards can effectively reduce heating and cooling demand in buildings, but their performance varies with different set points. Coupling PCM wallboards with night-ventilation can further enhance cooling savings. However, PCM utilization is ineffective in reducing indoor overheating risk in naturally-ventilated scenarios.
ENERGY AND BUILDINGS
(2023)
Article
Construction & Building Technology
Hongsen Shi, Qian Chen
Summary: The study comprehensively evaluated the performance of 12 existing HVAC cooling strategies using a simulation model, with findings showing that demand-limiting control methods performed well and achieved the highest energy reduction ratios, while the RC network-based precooling optimization resulted in the highest electricity cost savings.
JOURNAL OF BUILDING ENGINEERING
(2021)
Article
Green & Sustainable Science & Technology
Rui Guo, Yue Hu, Per Heiselberg, Hicham Johra, Chen Zhang, Pei Peng
Summary: The study demonstrates that night cooling with diffuse ceiling ventilation (DCV) saves more cooling energy and provides a lower average predicted percentage of dissatisfied than mixing ventilation (MV). Optimization significantly reduces total cooling energy consumption without significantly affecting the dissatisfied percentage.
Article
Construction & Building Technology
Vasco Zeferina, F. Ruth Wood, Rodger Edwards, Wei Tian
Summary: This study examined the sensitivity of cooling demand related results in a large office building using two global sensitivity analysis methods. The findings showed that changes in peak demand were more significant than in annual demand, with ventilation rate being the parameter that contributed the largest for the uncertainty in electricity demand of the HVAC end-use.
ENERGY AND BUILDINGS
(2021)
Article
Construction & Building Technology
Zhenxiang Dong, Jiangyan Liu, Bin Liu, Kuining Li, Xin Li
Summary: Accurate prediction of building energy consumption is crucial for building energy management and policy. This study proposes a prediction strategy based on ensemble learning and energy consumption pattern classification, showing promising results in terms of prediction accuracy and robustness.
ENERGY AND BUILDINGS
(2021)
Article
Construction & Building Technology
Mattis Knudsen, Romina Rissetto, Nicolas Carbonare, Andreas Wagner, Marcel Schweiker
Summary: An expected increase in air conditioning usage by 2050 will lead to higher electricity demand and environmental costs. Implementing passive cooling strategies and focusing on personal environmental control systems (PECSs) can help mitigate these effects. This study presents an economic evaluation of personal fans for an office building in Germany, comparing passive and active cooling methods and analyzing investment costs and performance values. The results suggest that supplementing night ventilation with personal fans can reduce discomfort hours by up to 50%, but the initial investment may not be offset by productivity savings. The findings contribute to the economic evaluation of PECSs and propose a framework for their implementation in buildings.
Article
Construction & Building Technology
Yu Cui, Zishang Zhu, Xudong Zhao, Zhaomeng Li, Peng Qin
Summary: This paper introduces the application of Bayesian calibration (BC) method in building energy models, and presents a calibrated prediction model for office buildings in Guangdong, China. The model's accuracy meets the requirement of ASHRAE Guideline 14 and has significant implications for improving the quality and integrity of existing building energy databases.
Editorial Material
Construction & Building Technology
Nuno R. Martins, Peter J. Bourne-Webb
Summary: Climate change will increase cooling demands in buildings, affecting the efficacy of passive solutions. Building energy simulations often overlook the changing climate. In this study, updated weather files were used to reassess the impact of climate change on a hybridized heat pump system and the results showed increased cooling loads and heat build-up in the ground. However, the GSHP-NV-PCS approach remained a resilient solution with significant energy reduction potential.
ENERGY AND BUILDINGS
(2022)
Article
Thermodynamics
Jose Luis Fernandez-Zayas, Juan Francisco Villa-Medina, Norberto Chargoy-del Valle, Miguel Angel Porta-Gandara
Summary: An experiment was conducted in a ten-story office building in Mexico City to evaluate natural ventilation, aiming to establish basic design considerations for effective ventilation. The results from temperature measurements, based on a simple mathematical model, showed consistent airflow patterns and specific characteristics of the ventilation phenomenon. The study validated the feasibility of using natural ventilation to provide passive thermal comfort throughout the year in Mexico City.
CASE STUDIES IN THERMAL ENGINEERING
(2021)
Article
Construction & Building Technology
Shiro Arata, Shun Kawakubo
Summary: The thermal environment in offices has an impact on workers' productivity, and adjusting the thermal environment appropriately with heating, ventilation, and air conditioning is crucial. This study investigates the use of mixed-mode ventilation to reduce air conditioning power consumption and improve productivity during springtime. The results show that mixed-mode ventilation can decrease energy consumption and improve productivity, although there may be differences based on gender.
BUILDING AND ENVIRONMENT
(2022)
Article
Energy & Fuels
Siddharth Sradhasagar, Omkar Subhasish Khuntia, Srikanta Biswal, Sougat Purohit, Amritendu Roy
Summary: In this study, machine learning models were developed to predict the bandgap and its character of double perovskite materials, with LGBMRegressor and XGBClassifier models identified as the best predictors. These models were further employed to predict the bandgap of novel bismuth-based transition metal oxide double perovskites, showing high accuracy, especially in the range of 1.2-1.8 eV.
Article
Energy & Fuels
Wei Shuai, Haoran Xu, Baoyang Luo, Yihui Huang, Dong Chen, Peiwang Zhu, Gang Xiao
Summary: In this study, a hybrid model based on numerical simulation and deep learning is proposed for the optimization and operation of solar receivers. By applying the model to different application scenarios and considering multiple performance objectives, small errors are achieved and optimal structure parameters and heliostat scales are identified. This approach is not only applicable to gas turbines but also heating systems.
Article
Energy & Fuels
Mubashar Ali, Zunaira Bibi, M. W. Younis, Muhammad Mubashir, Muqaddas Iqbal, Muhammad Usman Ali, Muhammad Asif Iqbal
Summary: This study investigates the structural, mechanical, and optoelectronic properties of the BaCuF3 fluoroperovskite using the first-principles modelling approach. The stability and characteristics of different cubic structures of BaCuF3 are evaluated, and the alpha-BaCuF3 and beta-BaCuF3 compounds are found to be mechanically stable with favorable optical properties for solar cells and high-frequency UV applications.
Article
Energy & Fuels
Dong Le Khac, Shahariar Chowdhury, Asmaa Soheil Najm, Montri Luengchavanon, Araa mebdir Holi, Mohammad Shah Jamal, Chin Hua Chia, Kuaanan Techato, Vidhya Selvanathan
Summary: A novel recycling system is proposed in this study to decompose and reclaim the constituent materials of organic-inorganic perovskite solar cells (PSCs). By utilizing a one-step solution process extraction approach, the chemical composition of each layer is successfully preserved, enabling their potential reuse. The proposed recycling technique helps mitigate pollution risks, minimize waste generation, and reduce recycling costs.
Article
Energy & Fuels
Peijie Lin, Feng Guo, Xiaoyang Lu, Qianying Zheng, Shuying Cheng, Yaohai Lin, Zhicong Chen, Lijun Wu, Zhuang Qian
Summary: This paper proposes an open-set fault diagnosis model for PV arrays based on 1D VoVNet-SVDD. The model accurately diagnoses various types of faults and is capable of identifying unknown fault types.