Article
Construction & Building Technology
Keivan Bamdad, Soha Matour, Nima Izadyar, Sara Omrani
Summary: The research found that the mixed-mode ventilation strategy has moderate to significant cooling energy saving potentials in different Australian climates. Integrating ceiling fans into mixed-mode ventilation can provide additional cooling energy saving, but the scale of additional saving depends on climate characteristics.
BUILDING AND ENVIRONMENT
(2022)
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)
Review
Construction & Building Technology
Jungsoo Kim, Richard de Dear
Summary: This paper reviews important research themes in mixed-mode buildings, highlighting the differences in occupant perception of indoor thermal environment based on building operation mode. Occupants in mixed-mode buildings have a wider comfort zone compared to fully air-conditioned buildings, with significant energy saving potential. Future research should focus on optimizing comfort, control level, and associated energy demands.
BUILDING AND ENVIRONMENT
(2021)
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)
Review
Green & Sustainable Science & Technology
Eleni Davidson, Yair Schwartz, Joe Williams, Dejan Mumovic
Summary: A continued upward trend in global greenhouse gas emissions poses risks to global infrastructure and built assets. Maintaining high indoor environmental quality standards is a challenge for higher education institutions under future climates. Passive cooling mechanisms may be insufficient to tolerate predicted temperature increases. Different building typologies have varying energy demand projections.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Energy & Fuels
Francesco Guarino, Giovanni Tumminia, Sonia Longo, Maurizio Cellura, Maria Anna Cusenza
Summary: This study analyzes the impact of climate change on building performance and proposes a simple and free building simulation tool for future climate analysis. Through a case study, the tool's effects on building models under different climate change scenarios are demonstrated.
Article
Construction & Building Technology
Delphine Ramon, Karen Allacker, Damien Trigaux, Hendrik Wouters, Nicole P. M. van Lipzig
Summary: Strict energy performance requirements have reduced buildings' operational energy use and environmental impact in the past decades. Life cycle assessment (LCA) is used to assess the environmental impact of buildings, but current studies often ignore the potential changes in operational energy use due to climate change. This study improves the assessment by considering the variations in yearly operational energy use caused by climate change and changes in the electricity mix. The results show that climate change scenarios can significantly affect the energy use and environmental impact of buildings.
ENERGY AND BUILDINGS
(2023)
Article
Construction & Building Technology
Xiaoxiong Xie, Zhiwen Luo, Sue Grimmond, Lewis Blunn
Summary: Wind pressure coefficients (Cp) play a critical role in building energy simulations. Different categories exist based on the height of free stream wind speed: Cpr (reference height) and Cpl (local opening height). However, the influences of vertical wind profile and surrounding buildings on Cp data are often overlooked in building energy simulations.
BUILDING AND ENVIRONMENT
(2023)
Article
Green & Sustainable Science & Technology
Muhannad Haj Hussein, Sameh Monna, Ramez Abdallah, Adel Juaidi, Aiman Albatayneh
Summary: Cities on the east Mediterranean coast, especially in Palestine, are facing challenges in moving towards sustainability due to climate change vulnerability and lack of natural resources, particularly energy resources. The building sector, especially energy efficiency in building envelopes, is the key concern for achieving sustainability. This study analyzes the thermal performance of buildings and highlights the importance of up-to-date building energy codes, particularly in terms of U-values for building envelopes, in reducing future energy demand. The results emphasize the need for utilizing different U-values for building envelopes in different climatic zones to achieve high thermal performance.
Article
Construction & Building Technology
Nuno R. Martins, Peter J. Bourne-Webb
Summary: Combating climate change requires reducing energy use and improving energy efficiency. This study examines the impact of different heating and cooling scenarios on warmer future weather and finds that cooling demand increases significantly due to climate change. Mitigating measures, such as reducing internal heat loads, can decrease cooling demand and energy consumption.
JOURNAL OF BUILDING ENGINEERING
(2023)
Article
Construction & Building Technology
Zhiyin Duan, Yan Sun, Minghui Wang, Ran Hu, Xuelin Dong
Summary: This paper predicts the thermal performance and energy-saving potential of an existing Beijing office building operated in a mixed-mode cooling system. The results show that the mixed-mode building's annual cooling energy use is reduced by around 45% compared to the air-conditioned building. The study also demonstrates that cross-ventilation can provide thermal comfort for the occupants while improving fresh air requirements.
Article
Thermodynamics
Ran Wang, Shilei Lu, Wei Feng, Bowen Xu
Summary: This study investigates the impact of improving building thermal performance on indoor overheating risk, and proposes a multi-objective optimization model to balance winter heating energy demand and summer overheating risk. The results show that window ventilation can reduce summer overheating risk, decreasing the duration by approximately 85.2% and severity by 62.1%.
BUILDING SIMULATION
(2021)
Article
Green & Sustainable Science & Technology
Jonathan Yeung, Alvaro J. Hahn Menacho, Antonino Marvuglia, Tomas Navarrete Gutierrez, Thomas Beach, Yacine Rezgui
Summary: The integration of different domain models is a crucial research topic in building evaluation. However, there is currently no dynamic integration between building energy simulation and life cycle assessments. This study addresses this gap by developing a dynamic, open building information modelling based co-simulation architecture that tightly couples EnergyPlus and Brightway2. The architecture has been successfully validated on case-study non-domestic buildings in the UK and Luxembourg, demonstrating its applicability to the construction and operational life cycle phases of buildings. The research presented in this paper shows that a time-differentiated co-simulation approach allows for a more holistic analysis of buildings with greater accuracy and granularity.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2023)
Article
Energy & Fuels
Mehdi Gholami Rostam, Alireza Abbasi
Summary: Building energy designs should consider future climate change and a dynamic climate-adaptive framework can improve energy efficiency and reduce energy demand by an average of 23%.
Article
Construction & Building Technology
David Bienvenido-Huertas, Maria Luisa de la Hoz-Torres, Antonio J. Aguilar, Blanca Tejedor, Daniel Sanchez-Garcia
Summary: Climate change affects the performance of buildings, but studies on ventilation as a mitigation measure are lacking, particularly in warm regions or areas with hot and humid climates. This paper analyzed the literature on natural ventilation and mixed-mode strategies and found a lack of comprehensive literature reviews. The study highlights the importance of observing past work and implementation. Regional projects should be conducted to assess the effectiveness of ventilation strategies, taking into account other architectural techniques. Optimization of simulation tools should incorporate BIM and generative design for ventilation strategies.
BUILDING AND ENVIRONMENT
(2023)
Article
Geosciences, Multidisciplinary
Zheng Lu, Xiaohong Liu
Summary: Biomass burning aerosols have a strong cooling effect on the southeast Atlantic through aerosol-radiation and aerosol-cloud interactions. The study examines the potential amplification of this cooling effect through a sea surface temperature-low cloud feedback. Results from the CESM2 model show that considering the feedback actually weakens the cloud radiative effect caused by the aerosols. This is due to stronger sea breeze and less moisture supply, as well as changes in ocean circulation anomalies and the direction of the feedback in the region.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Meteorology & Atmospheric Sciences
Lin Lin, Xiaohong Liu, Yunpeng Shan, Qiang Fu
Summary: We improved the treatments of convective cloud microphysics in the NCAR Community Atmosphere Model version 5.3 (CAM5.3) by implementing new parameterizations for convective ice and snow particles' terminal velocities, adding graupel microphysics, considering convective snow detrainment, and enhancing rain initiation and generation rate in warm clouds. The impacts of the improved microphysics on simulated global climate were evaluated, with a focus on cloud radiative forcing, graupel microphysics, convective cloud ice amount, and tropical precipitation. The results showed that the enhancements in rain initiation and generation rate alleviated the excessive cloud shortwave radiative forcing over the tropics and midlatitudes, bringing the simulations in better agreement with the observations. The addition of graupel microphysics and the accompanying increase in hydrometeor fall speed played a crucial role in alleviating the overestimation of convective ice mass.
JOURNAL OF CLIMATE
(2023)
Article
Meteorology & Atmospheric Sciences
Bing Chen, Chenglai Wu, Xin Song, Yuhao Zheng, Mingwei Lu, Huiyi Yang, Xue Wu, Xiaoqing Zhao, Zheng Lu, Tao Luo, Xiaohong Liu
Summary: Anthropogenic heat release (AHR) is the release of heat generated by human energy consumption and can have a significant impact on regional and global climate. In this study, the effects of AHR on European summer heatwaves were examined, and it was found that AHR exacerbates extreme high temperatures and increases the number of heatwave days in Europe. AHR also affects surface wind, lower-troposphere stability, cloud cover, and the surface energy balance, further influencing European summer heatwaves.
Article
Meteorology & Atmospheric Sciences
Weiyi Wang, Xiaohong Liu, Chenglai Wu, Guangxing Lin, Yong Wang, Zheng Lu, Xi Zhao, Linyi Weid
Summary: This study examines the fast response of East Asian summer precipitation to COVID-19-induced aerosol emission reductions using the CESM2.2 model. The emission reductions decreased aerosol optical depth and cloud cover over northern China in June 2020. This led to a warmer troposphere, strengthening the land-sea thermal contrast and anomalous southerly winds. As a result, there was increased precipitation over the Yangtze River basin (YRB) during June 2020. The emission reductions over China caused stronger convective precipitation but weaker larger-scale precipitation compared to emission reductions outside China. Additionally, sea surface temperature anomalies in 2020 also played an important role in increasing precipitation over the YRB, contributing about 42.8%.
JOURNAL OF CLIMATE
(2023)
Article
Meteorology & Atmospheric Sciences
Neel Desai, Minghui Diao, Yang Shi, Xiaohong Liu, Israel Silber
Summary: This study analyzed remote sensing observations of Southern Ocean clouds and compared them with climate model simulations. It was found that the model underestimates the presence of ice phase clouds at high latitudes and overestimates the presence of liquid phase clouds. This indicates that the Earth's surface may absorb more solar radiation than the model estimates, especially around Antarctica. Both observations and simulations show that ice clouds are common at higher latitudes whereas liquid clouds are common at lower latitudes.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2023)
Article
Meteorology & Atmospheric Sciences
Kai Lyu, Xiaohong Liu, Julio Bacmeister, Xi Zhao, Lin Lin, Yang Shi, Odran Sourdeval
Summary: Cirrus clouds have a significant impact on the Earth's energy budget and climate. In this study, a sub-grid scale orographic gravity wave (OGW) scheme is used to model the vertical velocity variance for cirrus formation. The inclusion of OGW-induced sigma(w) improves the model agreement with observations and leads to higher ice crystal concentrations in orographic cirrus. This study highlights the importance of considering OGWs in cirrus formation and their impact on climate.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2023)
Article
Meteorology & Atmospheric Sciences
Xi Zhao, Xiaohong Liu, Susannah Burrows, Paul J. DeMott, Minghui Diao, Greg M. McFarquhar, Sachin Patade, Vaughan Phillips, Greg C. Roberts, Kevin J. Sanchez, Yang Shi, Meng Zhang
Summary: Research finds that GCMs used to simulate cloud phase and cloud radiative effect over the Southern Ocean (SO) face challenges. New-generation GCMs tend to predict excessive liquid and insufficient ice in mixed-phase clouds. This misrepresentation of cloud phase leads to weaker negative cloud feedback and higher climate sensitivity over the SO. By comparing models with observational data, the study identifies the main uncertainties related to cloud phase in the Community Earth System Model version 2 (CESM2), namely ice formation in pristine remote SO clouds. The study highlights the importance of accurately representing cloud phase by considering sea spray organic aerosols (SSOAs) as the most important ice nucleating particles (INPs) over the SO and the effects of secondary ice production (SIP) processes.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2023)
Article
Meteorology & Atmospheric Sciences
Xiaoyu Jiang, Chenglai Wu, Bing Chen, Weiyi Wang, Xiaohong Liu, Zhaohui Lin, Zhenyu Han
Summary: The complex terrain in Southwest China presents a challenge for climate models to accurately simulate its large spatial variations in climate. This study uses the high-resolution Variable-Resolution Community Earth System Model (VR-CESM) to simulate the spatiotemporal variations of precipitation and temperature in Southwest China. Results show that the high-resolution VR-CESM model better captures the fine distribution of precipitation and temperature and improves the seasonal variations of precipitation in the region. Overall, VR-CESM demonstrates good simulation capabilities for understanding past climate changes and projecting future climate changes in Southwest China.
ATMOSPHERIC RESEARCH
(2023)
Article
Meteorology & Atmospheric Sciences
Alma Hodzic, Natalie Mahowald, Matthew Dawson, Jeffrey Johnson, Ligia Bernardet, Peter A. Bosler, Jerome D. Fast, Laura Fierce, Xiaohong Liu, Po-Lun Ma, Benjamin Murphy, Nicole Riemer, Michael Schulz
Summary: Atmospheric aerosol and chemistry modules are crucial in predicting air pollutant concentrations and properties, but their representation is currently inaccurate, leading to uncertainties in climate projections. A standardized interface is needed to connect the modules with the host models and enable comparisons and evaluations. Efforts are being made to build a Generalized Aerosol/Chemistry Interface (GIANT) to address this need.
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
(2023)
Article
Meteorology & Atmospheric Sciences
Meng Zhang, Shaocheng Xie, Xiaohong Liu, Damao Zhang, Wuyin Lin, Kai Zhang, Jean-Christophe Golaz, Xue Zheng, Yuying Zhang
Summary: This study evaluates the simulation of high latitude stratiform mixed-phase clouds (SMPC) in the Energy Exascale Earth System Model version 2 (EAMv2) using ground-based remote sensing measurements. The model overestimates SMPC frequency at both the North Slope of Alaska (NSA) site and the McMurdo (AWR) site. While the model captures the observed larger cloud frequency at the NSA site, it has larger biases in the collocated SMPCs at the AWR site. Additionally, the model shows substantial biases in cloud phase and liquid water path.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2023)
Article
Meteorology & Atmospheric Sciences
Yunpeng Shan, Xiaohong Liu, Lin Lin, Ziming Ke, Zheng Lu, Simone Tilmes, Lan Gao, Pengfei Yu
Summary: In this study, a physically-based aerosol wet removal scheme is implemented into a global climate model to improve the representation of aerosol vertical distribution. The evaluation against observations shows significant improvements over the default scheme, highlighting the importance of accurate representation of aerosol wet removal. The improved aerosol wet removal scheme leads to a more reflective cloud radiative forcing on a global scale.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2023)
Article
Geosciences, Multidisciplinary
Xianda Gong, Yang Wang, Hua Xie, Jiaoshi Zhang, Zheng Lu, Robert Wood, Frank Stratmann, Heike Wex, Xiaohong Liu, Jian Wang
Summary: The study investigates the maximum supersaturation (S-x) of marine boundary layer clouds in the Eastern North Atlantic using airborne and surface observations. The results show that the cloud droplet number concentration (N-c) in the least diluted cloud cores agrees well with the number concentration of particles larger than the Hoppel Minimum (HM) below clouds. The S-x values exhibit clear seasonal variation with higher values during winter, and are mainly influenced by cloud condensation nuclei (CCN) concentration and updraft velocity (w).
Article
Geosciences, Multidisciplinary
Po-Lun Ma, Bryce E. Harrop, Vincent E. Larson, Richard B. Neale, Andrew Gettelman, Hugh Morrison, Hailong Wang, Kai Zhang, Stephen A. Klein, Mark D. Zelinka, Yuying Zhang, Yun Qian, Jin-Ho Yoon, Christopher R. Jones, Meng Huang, Sheng-Lun Tai, Balwinder Singh, Peter A. Bogenschutz, Xue Zheng, Wuyin Lin, Johannes Quaas, Helene Chepfer, Michael A. Brunke, Xubin Zeng, Johannes Mulmenstadt, Samson Hagos, Zhibo Zhang, Hua Song, Xiaohong Liu, Michael S. Pritchard, Hui Wan, Jingyu Wang, Qi Tang, Peter M. Caldwell, Jiwen Fan, Larry K. Berg, Jerome D. Fast, Mark A. Taylor, Jean-Christophe Golaz, Shaocheng Xie, Philip J. Rasch, L. Ruby Leung
Summary: The realistic simulation of Earth's mean-state climate is a crucial challenge for predicting the climate system. This study shows that focusing on the realism of process assumptions in cloud calibration and subgrid effects can significantly improve global atmospheric simulations. By improving cloud fidelity, biases in other aspects of the system are reduced, and the sensitivity to aerosol perturbations is decreased.
GEOSCIENTIFIC MODEL DEVELOPMENT
(2022)
Article
Environmental Sciences
Yang Shi, Xiaohong Liu, Mingxuan Wu, Xi Zhao, Ziming Ke, Hunter Brown
Summary: This study evaluates the contribution of high-latitude dust (HLD) and low-latitude dust (LLD) to Arctic dust loading and ice-nucleating particle (INP) population, and finds that HLD has a larger contribution in the lower troposphere while LLD dominates in the upper troposphere. Including HLD INPs in simulations improves the agreement with ground and aircraft INP measurements in the Arctic, and the HLD INPs induce a net cooling effect on the Arctic surface downwelling radiative flux by changing the cloud phase of Arctic mixed-phase clouds. This cooling effect is larger than that induced by LLD from North Africa and East Asia.
ATMOSPHERIC CHEMISTRY AND PHYSICS
(2022)
Article
Environmental Sciences
Xi Zhao, Xiaohong Liu
Summary: This study investigates the relative importance of ice nucleation and secondary ice production (SIP) in mixed-phase clouds. By implementing various ice nucleation schemes and physical representations of SIP processes, the researchers simulate the clouds using the CESM2 model and compare the results with M-PACE observations. The findings show that SIP contributes significantly to ice formation and competes with ice nucleation. The study highlights the complex interactions between primary and secondary ice processes in mixed-phase clouds.
ATMOSPHERIC CHEMISTRY AND PHYSICS
(2022)
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)
