Review
Green & Sustainable Science & Technology
T. M. Cristino, F. A. Lotufo, B. Delinchant, F. Wurtz, A. Faria Neto
Summary: The building sector has a significant impact on energy consumption and efforts are needed to reduce it, with the adoption of building energy-efficient (BEE) technologies being a way to achieve this goal. However, barriers exist that hinder the adoption of these technologies, with a need for further evaluation on the relationship between barriers, building types, and geographical regions. Recommendations to overcome these barriers have not been compiled, but this study identified 105 barriers grouped into six categories, providing insight for policymakers and researchers on addressing these challenges.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Construction & Building Technology
Haijing Huang, Kedi Zhu, Xi Lin
Summary: The full exploration of the energy-saving potential during the operation of buildings is important for energy-efficiency retrofitting. This study aimed to classify existing residential buildings based on their forms and actual energy consumption data and to set energy benchmarks for each building type. The results and methods of the study can provide a basis for the formulation of energy benchmarks for residential buildings, as well as regional energy analysis, energy-saving potential prediction, and energy-saving measure evaluation.
Article
Construction & Building Technology
Reyhan Kaya, Semih Caglayan
Summary: Global energy demand is increasing, with buildings accounting for a significant portion of energy consumption. Despite extensive research on energy-efficient retrofits and thermal insulation in buildings, existing public buildings have been largely neglected. This study investigates the thermal insulation of existing public buildings and reveals its potential benefits, providing an alternative way to achieve national energy efficiency objectives.
Article
Environmental Sciences
Tomasz Cholewa, Alicja Siuta-Olcha
Summary: The paper analyzes long-term field research results on energy consumption and efficiency of heating systems in buildings equipped with residential thermal stations, and explores the potential to increase the share of renewable energy sources.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Construction & Building Technology
T. C. Quevedo, M. S. Geraldi, A. P. Melo
Summary: This study aimed to develop an energy consumption benchmark for university buildings in Brazil, using a database obtained through parameter variations and building energy simulation. Three machine learning techniques were compared, and support vector machine method was found to be the most effective. The efficiency scale was used to classify buildings and identify good practices or inefficiencies.
JOURNAL OF BUILDING ENGINEERING
(2023)
Article
Construction & Building Technology
Hye Gi Kim, Da Woon Jeong, Soon Jung Kwon, Sun Sook Kim
Summary: This study aimed to develop a benchmark for building energy performance assessments in hospitals that considers business activities. The benchmark was developed through data collection, surveying, and multiple linear regression. The benchmark was validated through a survey of additional hospitals. Finally, a method to improve the benchmark was presented and compared with the existing model.
Article
Construction & Building Technology
Razak Olu-Ajayi, Hafiz Alaka, Ismail Sulaimon, Funlade Sunmola, Saheed Ajayi
Summary: This study employs machine learning techniques to predict annual building energy consumption, finding Deep Neural Network as the most efficient predictive model, aiding in energy optimization at the early design phase.
JOURNAL OF BUILDING ENGINEERING
(2022)
Article
Energy & Fuels
Salah Alghamdi, Waiching Tang, Sittimont Kanjanabootra, Dariusz Alterman
Summary: In this study, the optimization of architectural building design parameters for a single-story educational building in a warm temperate climate was demonstrated. The validated model achieved significant reductions in energy consumption and thermal discomfort hours compared to the baseline simulation model.
Article
Construction & Building Technology
Salah Vaisi, Mahtab Firouzi, Pouya Varmazyari
Summary: Public buildings, such as schools, have a significant potential for energy efficiency and reducing CO2 emissions. Top-Down energy benchmarking is an important tool for identifying inefficient buildings in a community and plays a fundamental role in large-scale energy efficiency management. This study evaluates end-use energy benchmarks for secondary schools using a statistical method, analyzing real monthly energy consumption data from 31 school buildings.
ENERGY AND BUILDINGS
(2023)
Article
Construction & Building Technology
Ali Bagheri, Konstantinos N. Genikomsakis, Sesil Koutra, Vasileios Sakellariou, Christos S. Ioakimidis
Summary: EU directives and commitments are driving building owners and stakeholders to adopt renewable energy sources for net zero energy buildings, but high renovation costs and expensive technology installations are hindering small to medium-sized buildings. Sharing computational and data storage resources could be an alternative approach to smart buildings and cities.
Article
Chemistry, Physical
Pinar Usta, Basak Zengin
Summary: In Turkey, heat loss from buildings is a major part of energy waste, making the use of suitable construction materials crucial. This study analyzed a selected building by applying different materials based on annual energy consumption and demand to determine the most suitable material in terms of energy and cost efficiency for different regions. Optimum values were determined by comparing the maximum allowable annual heating energy requirement, with comparisons made for analyzed cities' total energy consumption rates.
Review
Thermodynamics
Ceylin Sirin, Jamie Goggins, Magdalena Hajdukiewicz
Summary: Space constraints in urban areas can be overcome by utilizing building facades to produce energy. Building-integrated PV/T (BIPV/T) systems can successfully produce both electrical and thermal energy, improving buildings' energy performance. This study provides an overview of BIPV/T systems, including their operation, benefits, performance improvement techniques, and potential contributions to energy-efficient buildings.
APPLIED THERMAL ENGINEERING
(2023)
Article
Construction & Building Technology
Sepehr Foroushani, Rob Bernhardt, Mark Bernhardt
Summary: Achieving net-zero energy levels of operational efficiency is crucial for decarbonizing the building sector at a large scale. The Passive House energy performance level is gaining global consensus as a net-zero energy ready standard. However, the North American Reference Building Approach (RBA) used to assess building energy performance has significant flaws, including the inability to deliver net-zero energy performance and the promotion of inefficient designs and poor energy modeling practices.
ENERGY AND BUILDINGS
(2022)
Article
Computer Science, Information Systems
Andrea Ferrantelli, Juri Belikov, Eduard Petlenkov, Martin Thalfeldt, Jarek Kurnitski
Summary: Evaluating the energy performance of existing buildings is crucial for improving the efficiency and resilience of the building stock. This study analyzed an EPC national database from Estonia to assess the readiness of the building stock and predict future trends. The findings indicate that all new and renovated buildings are estimated to become zero-energy buildings by 2050, with varying results for different building types and the impact of the COVID-19 pandemic.
Article
Construction & Building Technology
Mohammad Pazouki, Kamran Rezaie, Ali Bozorgi-Amiri
Summary: This study utilizes mathematical modeling to determine the best strategy for building energy retrofit, considering economic and environmental criteria and using a generalized mathematical model to optimize energy efficiency. The results indicate that implementing the obtained strategy can significantly affect buildings' energy saving.
ENERGY AND BUILDINGS
(2021)
Article
Construction & Building Technology
Zhishan Zhong, Zhonghua Gou
Summary: With the increase in urbanization and high-rise apartment living, the quality of living environments in terms of facility, safety, and hygiene has become important. This study used multiple regression models and census data to analyze housing quality at the regional level, providing important directions for high-rise apartment evaluation and support for building maintenance and management.
BUILDING RESEARCH AND INFORMATION
(2023)
Article
Construction & Building Technology
Jinghua Song, Abudureheman Abuduwayiti, Zhonghua Gou
Summary: This study quantifies the impact of the metro network on urban spatial structure in Wuhan and finds that subway construction significantly improves connectivity and accessibility, but has a weaker effect on polycentricity.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2023)
Article
Environmental Studies
Majed Abuseif, Karine Dupre, Ruby N. Michael
Summary: This study investigates the tree selection process for implementation on buildings, and provides a systematic framework to guide decision-makers in selecting the most appropriate tree species. The developed framework can inform design, implementation, and policy development to reduce implementation risks. Additionally, this research provides valuable insights for future studies on trees on buildings.
Article
Construction & Building Technology
Zhishan Zhong, Zhonghua Gou
Summary: This study aims to understand the influencing factors on architects' intentions to adopt CLT and found that it depends on architects' innovativeness and material properties, including trialability, observability, relative advantage, and riskiness. Increasing the observability and publicity of CLT and addressing barriers to uptake are crucial to promote its adoption.
BUILDING RESEARCH AND INFORMATION
(2023)
Article
Construction & Building Technology
Senhong Cai, Zhonghua Gou
Summary: The high energy consumption of data centers is a global issue that needs to be addressed, and the development of green rating systems for data centers has been emphasized. This study comprehensively analyzes green rating systems for data centers, establishes standardized overall and energy indicators, compares different systems, and discusses how to guide and promote green data centers. The study fills the gap in research on green rating systems for data centers and contributes to the development of green buildings and assessment criteria.
ENERGY AND BUILDINGS
(2023)
Article
Construction & Building Technology
Xuechen Gui, Yan Xiong, Zhonghua Gou
Summary: This study analyzed the adoption and water-saving performance of rainwater tanks in 239,269 households in NSW, Australia. Different types of tanks were classified and optimized strategies for water use and tank volumes were proposed. However, the proposed strategies and tank volumes should be carefully interpreted considering other factors to provide the best guidance.
ARCHITECTURAL ENGINEERING AND DESIGN MANAGEMENT
(2023)
Article
Multidisciplinary Sciences
Zefeng Huang, Zhonghua Gou, Senhong Cai
Summary: Reducing school energy costs is important, taking into account different school systems and student backgrounds. This study examined the impact of student demographics on energy consumption in elementary and secondary schools, as well as the differences in energy consumption across different school systems. Data from 3672 schools in Ontario, Canada showed that factors such as students' first language, special education services, and low-income households were inversely related to energy consumption. Student learning ability had the greatest negative impact. The study also found varying correlations between student enrollment and energy consumption based on school type and grade levels.
Article
Environmental Studies
Jegan Ramakrishnan, Tingting Liu, Fan Zhang, Karthick Seshadri, Rongrong Yu, Zhonghua Gou
Summary: Airport buildings have a significant impact on the environment, but this threat is often overlooked. Therefore, more research and the development of green building assessment tools specific to airports are needed. This study created an environmental dataset using publicly available airport communications and used a decision tree model to evaluate the green performance of airport buildings.
ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
(2023)
Article
Environmental Studies
Xiaohuan Xie, Yinrong Li, Ruobing Wang, Zhonghua Gou
Summary: The negative effects of long working hours and shift work on the physical and mental health of blue-collar groups are significant. This study established a conceptual model of recreational satisfaction among blue-collar workers and explored the factors affecting their satisfaction when using recreational spaces. The results showed that recreation intention, perceived park quality characteristics, and perceived value all had positive effects on the park recreation satisfaction of blue-collar workers. This study applied social economics theory to landscape planning and provided guidance for improving the service quality of green spaces.
Article
Sociology
Sarah Gardiner, Jinyan Chen, Margarida Abreu Novais, Karine Dupre, J. Guy Castley
Summary: This research presents a new model that uses Twitter posts and VADER algorithms to analyze social media discourse during and after a bushfire event. Using the case study of the Gold Coast community during Australia's severe Black Summer in 2019/2020, the study aims to understand how information on disasters caused by natural hazards is generated and shared by different communities and stakeholders. The findings show that messaging volume is a proxy for the importance of the bushfires, negative sentiment and the need for better planning were consistent themes, and politicians, broadcast media, and public commentators played a central role in shaping social media messages, rather than bushfire experts. This highlights the potential of social media in informing disaster response and recovery behavior.
Article
Construction & Building Technology
Yusheng Du, Zhonghua Gou
Summary: Passivhaus has been recognized as a reliable solution for low-energy residential housing. This study fills the gap in existing research by examining the relationship between characteristics of certified passive houses and their energy performance. The study establishes statistical models and best practices for early design stages of passive houses. The research indicates that the thermal performance of external walls, floor slabs, and roofs is crucial for meeting passive house standards.
JOURNAL OF BUILDING ENGINEERING
(2023)
Article
Construction & Building Technology
Zefeng Huang, Zhonghua Gou
Summary: This study used the electricity dataset of public buildings in Scotland and applied Gaussian Mixture Model (GMM) to examine the changes in electricity usage patterns during and after the pandemic. The research found that the basic electricity consumption of selected public buildings continued to decrease in the post-pandemic period. Although the peak electricity consumption rebounded to some extent, it did not reach the pre-pandemic level. The most significant change in electricity usage pattern was observed in office buildings and persisted in the post-pandemic period. These findings have important implications for policy makers to understand the changes in building energy consumption after the pandemic and make appropriate adjustments.
JOURNAL OF BUILDING ENGINEERING
(2023)
Article
Construction & Building Technology
Jegan Ramakrishnan, Karthick Seshadri, Tingting Liu, Fan Zhang, Rongrong Yu, Zhonghua Gou
Summary: Despite the global sustainability trend, airport buildings have not received enough attention for their environmental impact. This study proposes a green performance evaluation model for airport buildings that uses an explainable semi-supervised AI approach to reduce human dependency. The model generates practical green rules that can assist airport operators and facility managers in enhancing the green performance of their buildings.
JOURNAL OF BUILDING ENGINEERING
(2023)
Article
Construction & Building Technology
Xinyu Chen, Zhonghua Gou, Xuechen Gui
Summary: This study investigates the intention of non-users in Chinese households to adopt photovoltaic-energy storage-integrated charging stations and analyzes the energy production, economic, and environmental benefits of a demonstration project. The findings demonstrate the potential and benefits of these stations in reducing carbon emissions and providing economic returns.
JOURNAL OF BUILDING ENGINEERING
(2023)
Article
Environmental Studies
Minghao Liu, Zhonghua Gou
Summary: The urban lockdown during COVID-19 has had a significant impact on residents' mental health. However, little research has been done on the role of neighborhood factors on residents' mental health during and after the lockdown. A study in Wuhan, the first city hit by the outbreak, used multiple linear regression and XGBoost algorithms to analyze the emotional status and distribution of residents. The study aimed to identify the moderating effect of neighborhood environment on emotional positivity and the marginal effect of neighborhood environment on residents' emotions. Results showed that specific neighborhood characteristics had varying effects on residents' positive emotions before and after the lockdown. The study emphasizes the importance of planning and managing neighborhoods to promote resilience during future public health crises.
ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE
(2023)
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)
