Article
Multidisciplinary Sciences
Bing Dong, Yapan Liu, Wei Mu, Zixin Jiang, Pratik Pandey, Tianzhen Hong, Bjarne Olesen, Thomas Lawrence, Zheng O'Neil, Clinton Andrews, Elie Azar, Karol Bandurski, Ronita Bardhan, Mateus Bavaresco, Christiane Berger, Jane Burry, Salvatore Carlucci, Karin Chvatal, Marilena De Simone, Silvia Erba, Nan Gao, Lindsay T. Graham, Camila Grassi, Rishee Jain, Sanjay Kumar, Mikkel Kjaergaard, Sepideh Korsavi, Jared Langevin, Zhengrong Li, Aleksandra Lipczynska, Ardeshir Mahdavi, Jeetika Malik, Max Marschall, Zoltan Nagy, Leticia Neves, William O'Brien, Song Pan, June Young Park, Ilaria Pigliautile, Cristina Piselli, Anna Laura Pisello, Hamed Nabizadeh Rafsanjani, Ricardo Forgiarini Rupp, Flora Salim, Stefano Schiavon, Jens Schwee, Andrew Sonta, Marianne Touchie, Andreas Wagner, Sinead Walsh, Zhe Wang, David M. Webber, Da Yan, Paolo Zangheri, Jingsi Zhang, Xiang Zhou, Xin Zhou
Summary: This paper presents a global database on building occupant behavior, which includes 34 datasets collected from various countries and institutions. These datasets provide more realistic inputs for building energy simulation and load forecasting.
Article
Green & Sustainable Science & Technology
Wei-Han Chen, Fengqi You
Summary: Sustainable energy sources and the use of model predictive control method are promising solutions for reducing energy consumption and carbon footprint in the building sector. This study develops a nonlinear model predictive control framework for building climate control with renewable energy systems, and simulation results demonstrate the effectiveness of the framework in minimizing electricity costs and improving sustainability.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Review
Energy & Fuels
Seyed Mohsen Hosseini, Reza Shirmohammadi, Alibakhsh Kasaeian, Fathollah Pourfayaz
Summary: This article explores the role of BIM in incorporating dynamic thermal simulation into building design processes. BIM is presented as an effective solution to the linear nature of conventional building design, facilitating the inclusion of dynamic thermal simulations. The article reviews the advantages and disadvantages of both traditional and BIM-based approaches, highlighting the benefits of using BIM tools for dynamic thermal performance and comfort analysis.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Article
Thermodynamics
Ana Culic, Sandro Nizetic, Petar Solic, Toni Perkovic, Aleksandar Andelkovic, Velimir Congradac
Summary: In this study, a short-term field investigation using smart monitoring devices was conducted to explore personal thermal comfort. The results showed a positive correlation between wrist skin temperature and thermal comfort evaluation for both female and male users. Additionally, the CO2 concentration in the office had a positive correlation with thermal comfort for male users. These findings endorse the application of wearable devices for detecting personal thermal comfort and provide a basis for further development of heating/cooling systems in buildings.
Article
Construction & Building Technology
Zhiqiang Zhou, Ran Jiao, Liang Dong
Summary: Perceived control has a significant impact on outdoor thermal comfort, expanding the range of acceptable thermal environment and reducing thermal sensitivity.
BUILDING AND ENVIRONMENT
(2023)
Article
Construction & Building Technology
Joao Gabriel Carrico de Lima Montenegro Duarte, Bruno Ramos Zemero, Ana Carolina Dias Barreto de Souza, Maria Emilia de Lima Tostes, Ubiratan Holanda Bezerra
Summary: This study aimed to improve energy efficiency in buildings through the use of BIM technology. A case study was conducted on two classrooms in an educational building in the Amazon region, evaluating and implementing energy-saving strategies to enhance the overall energy performance of the building.
JOURNAL OF BUILDING ENGINEERING
(2021)
Article
Metallurgy & Metallurgical Engineering
Liu Chang, Wang Zhao-Jun, Su Xiao-wen, Yang Yu-xin, Zhou Fan-zhuo, Xu Run-pu
Summary: This study investigated the effects of perceived control on human thermal sensation and comfort in heated environments through a psychological experiment. The results revealed that the influence of perceived control on thermal sensation was related to individuals' thermal expectations. For those with strong expectations for a neutral environment, perceived control improved thermal sensation by meeting their expectations. However, for those with low thermal expectations, perceived control decreased their tolerance to the environment, ultimately leading to thermal discomfort.
JOURNAL OF CENTRAL SOUTH UNIVERSITY
(2022)
Article
Construction & Building Technology
Connor Brackley, William O'Brien, Chantal Trudel, Jayson Bursill
Summary: The study applied theories of thermal comfort, human factors, and building technology to improve perceived control in 25 offices in an institutional building in Ottawa, Canada. An audit of the building automation system in the context of perceived control and survey responses from occupants revealed likely barriers to usability. Features were developed and implemented into the existing thermostat's software interface based on a human factors framework, showing promise for future design iterations.
BUILDING AND ENVIRONMENT
(2021)
Review
Chemistry, Multidisciplinary
Julia Pereira, Henriqueta Teixeira, Maria da Gloria Gomes, Antonio Moret Rodrigues
Summary: This paper provides a comprehensive review of the performance of solar control films (SCFs) applied to glazing systems of buildings. The study reveals that SCFs significantly reduce indoor solar radiation and illuminance levels, particularly with reflective films applied to south-oriented glazing. Moreover, glazing systems with SCFs promote cooling energy savings in hot climates. Limited research has been conducted on the visual and thermal comfort performance of SCFs, but it concludes that these films enhance thermal comfort and reduce excessive illuminance and potential glare.
APPLIED SCIENCES-BASEL
(2022)
Article
Construction & Building Technology
Han Zhu, Xiangchao Lian, Zhengrong Li, Bin He
Summary: Index-based operation logic is superior to parameter-based in meeting the dynamic and complex needs of occupants, but lacks a comprehensive and accurate single index to describe the operation. The study proposed shading operation logic and provided six typical control strategies.
Article
Construction & Building Technology
Sabine Lechner, Cornelia Moosmann, Andreas Wagner, Marcel Schweiker
Summary: This study examined the impact of thermal and visual factors, seasonal influences, and self-perceived control on overall, thermal, and visual satisfaction. The results showed that thermal satisfaction and visual satisfaction were the most important predictors for overall satisfaction with the indoor environment, with self-perceived thermal control moderating the relationship. Season had a slight influence on overall satisfaction.
Article
Construction & Building Technology
Tiandong Shao
Summary: This study analyzes the intelligent control system of indoor environment using PMV thermal comfort index and green building, and concludes that the PMV index intelligent control system can adjust the indoor environment properly. The research has contributed to the development of intelligent buildings by comparing energy consumption and use effect with traditional air conditioning equipment.
ADVANCES IN CIVIL ENGINEERING
(2021)
Review
Energy & Fuels
Prativa Lamsal, Sushil Bahadur Bajracharya, Hom Bahadur Rijal
Summary: The thermal environment quality in office buildings plays a crucial role in human productivity, and comfort standards are necessary to create a comfortable indoor environment. Outdoor climatic conditions have a greater impact on thermal conditions in naturally ventilated buildings compared to air-conditioned ones. The study proposes an adaptive comfort equation for both types of office buildings and emphasizes the need for climate-specific standards to achieve energy-efficient design.
Article
Multidisciplinary Sciences
Chenyan Song, Amy D. D. Droitcour, Shekh M. M. Islam, Avon Whitworth, Victor M. M. Lubecke, Olga Boric-Lubecke
Summary: Cognitive buildings can adjust lighting, temperature, ventilation, and other environmental parameters based on occupants' responses to the built environment. Doppler-radar based sensors have shown accurate occupancy detection and estimation of vital signs in challenging scenarios where other sensors fail. These sensors provide valuable information for space utilization optimization and can be used to improve human-building interactive systems.
SCIENTIFIC REPORTS
(2023)
Article
Construction & Building Technology
Christina Papachristou, Pieter-Jan Hoes, M. G. L. C. Loomans, T. A. J. van Goch, J. L. M. Hensen
Summary: Demand Response is used to reduce the mismatch between renewable energy generation and electricity demand. Buildings can provide energy flexibility through their thermal mass, with factors such as thermal capacity and window to wall ratio having a significant impact. The study shows that in certain cases, the potential energy shiftable by the thermal mass of a building can be comparable to commercial battery capacity.
JOURNAL OF BUILDING ENGINEERING
(2021)
Article
Green & Sustainable Science & Technology
Jun Kwon Hwang, Patrick Nzivugira Duhirwe, Geun Young Yun, Sukho Lee, Hyeongjoon Seo, Inhan Kim, Mat Santamouris
Article
Green & Sustainable Science & Technology
Jack Ngarambe, Amina Irakoze, Geun Young Yun, Gon Kim
Review
Green & Sustainable Science & Technology
M. Santamouris, Geun Young Yun
Article
Multidisciplinary Sciences
Jack Ngarambe, Jacques Nganyiyimana, Inhan Kim, Mat Santamouris, Geun Young Yun
Article
Energy & Fuels
Patrick Nzivugira Duhirwe, Jun Kwon Hwang, Jack Ngarambe, Suhgoo Kim, Kyungjae Kim, Kwanwoo Song, Geun Young Yun
Summary: This study proposes an integrated energy-efficient system incorporating photovoltaic (PV), energy storage systems (ESSs), and electric heat pump (EHP) to optimize PV energy usage, reduce electricity costs, and decrease reliance on fossil fuels. Using a deep learning algorithm to forecast PV energy generation and EHP energy demand, the system schedules ESS charging/discharging based on peak load times and energy forecasts, resulting in significant savings in annual electric costs.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Article
Engineering, Environmental
Jack Ngarambe, Soo Jeong Joen, Choong-Hee Han, Geun Young Yun
Summary: The study explores the interactions between urban heat island (UHI) and air pollution using in-situ temperature and air pollution data. It found positive correlations between certain air pollutants and UHI intensity (UHII), as well as strong seasonal effects on the strength of these correlations. Understanding these interactions is crucial for urban climate studies and mitigation strategies in Seoul city.
JOURNAL OF HAZARDOUS MATERIALS
(2021)
Article
Green & Sustainable Science & Technology
Jack Ngarambe, Inhan Kim, Geun Young Yun
Summary: LED lighting sources showed better performance in terms of circadian energy, while OLED lighting sources were more preferred in terms of visual comfort. In terms of work performance and mood, LED lighting sources were better than OLED lighting sources. This study contributes to the ongoing discussion on human-centric lighting, especially the role of SPD in energy-efficient and circadian lighting practices.
Article
Multidisciplinary Sciences
Mi Aye Su, Jack Ngarambe, Mat Santamouris, Geun Young Yun
Summary: Urban overheating is primarily caused by the urban heat island effect due to increased urbanization, which has substantial impacts on building energy consumption. Existing research relies heavily on numerical simulations, lacking empirical data support.
Article
Green & Sustainable Science & Technology
Atefeh Tamaskani Esfehankalateh, Jack Ngarambe, Geun Young Yun
Summary: This study proposed urban cooling strategies in a dense urban area in Korea, finding that increasing tree percentages and leaf area densities can significantly reduce urban heat island effects, providing valuable information for urban designers and policymakers.
Article
Construction & Building Technology
Jack Ngarambe, Jin Woo Oh, Mi Aye Su, Mat Santamouris, Geun Young Yun
Summary: This study investigated the factors influencing the urban heat island (UHI) intensity in Seoul city, finding that wind speed, cloud coverage, and land use characteristics play crucial roles. Low wind speeds, clear skies, and dense building areas were associated with higher UHI intensities, while increases in wind speed and cloud coverage were found to reduce UHI intensity. Statistically significant differences in peak diurnal UHI values were observed between densely built and sparsely built areas. These results shed light on potential strategies for managing UHI development in urban areas.
SUSTAINABLE CITIES AND SOCIETY
(2021)
Article
Environmental Sciences
Giulia Ulpiani, Patrick Nzivugira Duhirwe, Geun Young Yun, Mathew J. Lipson
Summary: In this study, the performance of long short-term memory (LSTM) forecasting architectures in predicting urban pollutants was tested using historical data recorded in Sydney. The study found that including extra predictors to temperature and humidity did not significantly improve the forecasts when adequate forecasting techniques capable of learning long-term dependencies were used. The study also highlighted the higher predictability of ozone compared to other pollutants and the lower predictability of PM1. The predictability declined significantly under anomalies in anthropogenic patterns and urban metabolic rates, such as those recorded during the pandemic. Local emission sources and anthropogenic factors were considered necessary for proper prediction of urban air quality, especially under human-related extreme conditions.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Construction & Building Technology
Patrick Nzivugira Duhirwe, Jack Ngarambe, Geun Young Yun
Summary: Occupant basic clothing insulation is crucial for calculating thermal comfort indices and HVAC sizing processes. However, inaccurate estimations of clothing behavior can lead to poorly designed indoor environments and unnecessary energy consumption. This study develops a convolutional neural network based on a large universal dataset, which accurately predicts occupant basic clothing insulation and outperforms conventional deep learning architectures.
JOURNAL OF BUILDING ENGINEERING
(2022)
Review
Construction & Building Technology
Jack Ngarambe, Indira Adilkhanova, Beatha Uwiragiye, Geun Young Yun
Summary: Proper use of daylighting improves indoor visual and thermal comfort while reducing energy consumption. Machine learning techniques present advanced approaches for optimizing daylighting design and control.
BUILDING AND ENVIRONMENT
(2022)
Article
Green & Sustainable Science & Technology
Indira Adilkhanova, Jack Ngarambe, Geun Young Yun
Summary: The whitebox models are popular due to their transparent working process and high prediction accuracy, but some simulation tools are too complex and require a high level of expertise to operate, potentially leading to inaccuracies in the outcomes. On the other hand, black-box models, despite their opaque working process, are easier to use and require less computation time. The fusion of these two methods is a novel approach that may benefit both UHI prediction and mitigation at the design and operation stages.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Green & Sustainable Science & Technology
Jack Ngarambe, Mattheos Santamouris, Geun Young Yun
Summary: The study found that climate change affects urban mortality, and there is a correlation between climatic changes and mortality in Seoul. Apparent temperature and heatwaves have a significant impact on mortality, with a higher impact on males and individuals above 65 years old. These findings are useful in identifying vulnerable populations in urban areas and developing policies for climate resilience and adaptation.
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)
