Article
Construction & Building Technology
Hongyuan Jia, Adrian Chong
Summary: Building energy simulation (BES) and data-driven analytics are currently not seamlessly integrated, but the eplusr R package offers a more convenient way to conduct data-driven analytics to reveal trends and provide useful insights.
ENERGY AND BUILDINGS
(2021)
Article
Energy & Fuels
Musik Park, Zhiyuan Wang, Lanyu Li, Xiaonan Wang
Summary: With increasing concerns over carbon dioxide emissions, the concept of Zero Energy Building (ZEB) and Electric Vehicles (EVs) have emerged to address environmental issues. This paper develops a new framework to find the optimal energy system design that meets EV charging demand and ZEB requirements, using machine learning models to predict charging demand and Genetic Algorithm and PROBID method to optimize costs and self-sufficiency ratio. The study finds that EV charging demand significantly affects energy system design, especially in small-size buildings.
Article
Thermodynamics
Kaiyu Sun, Tianzhen Hong, Janghyun Kim, Barry Hooper
Summary: Building performance simulation is crucial for decision making in the building life cycle. This study applied and evaluated an automated pattern-based calibration method on commercial building models, demonstrating successful calibrations and identifying areas for improvement.
BUILDING SIMULATION
(2022)
Article
Thermodynamics
Vicente Gutierrez Gonzalez, Carlos Fernandez Bandera
Summary: This paper presents a new calibration methodology for energy models, which reduces execution time and uncertainties by implementing an inverse modeling approach and empirical validation. The findings show that the data generated with this methodology significantly improve resemblance to real monitoring data.
BUILDING SIMULATION
(2022)
Article
Thermodynamics
Dan Wang, Xiufeng Pang, Wei Wang, Chuan Wan, Gang Wang
Summary: Building energy modeling is crucial for building life-cycle analysis. This study investigates the impact of model input deviation on simulated relative differences, indicating the need to control input deviation for reliable results.
BUILDING SIMULATION
(2022)
Article
Construction & Building Technology
Xinxian Yu, Chun Chen
Summary: This study developed a method to couple spectral-dependent radiative cooling with building energy simulations in EnergyPlus, improving the accuracy of energy performance assessment for buildings with radiative cooling technology.
BUILDING AND ENVIRONMENT
(2021)
Article
Construction & Building Technology
M. Justo Alonso, W. S. Dols, H. M. Mathisen
Summary: This study developed a coupled simulation model for building energy, airflow, and contaminant transport, and evaluated different strategies for controlling supply air delivery and return air recirculation rates in an office building. The results showed that demand-controlled ventilation strategies and the use of return air recirculation can reduce energy use and improve indoor air quality.
BUILDING AND ENVIRONMENT
(2022)
Article
Energy & Fuels
Yuan Gao, Qiye Zheng, Jacob C. Jonsson, Sean Lubner, Charlie Curcija, Luis Fernandes, Sumanjeet Kaur, Christian Kohler
Summary: Thermal energy storage and solar radiation management are important for improving sustainability. A study on incorporating PCMs in transparent glazing windows shows potential energy savings. Optimizing PCM windows can save energy for HVAC systems and the entire building, with solar absorptance of PCMs being a key factor.
Article
Energy & Fuels
R. P. L. Amorim, A. P. Melo, S. L. Mantelli Neto, R. Lamberts
Summary: This study adjusts the parameters of four models used in building simulation with the data from different latitude sites, and finds that proper adjustment of local parameters can reduce the uncertainty of the computational simulation process.
Article
Green & Sustainable Science & Technology
Piero Bevilacqua
Summary: Green roofs are a technology with multidisciplinary benefits that can improve urban environments, provide recreational spaces, and save energy. Research has mainly focused on the impact of green roofs on building energy demand, although quantitative estimations of the reduction of building energy consumption due to green roofs are not easily found.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Construction & Building Technology
Dezhou Kong, Yimin Yang, Xingning Sa, Xuanyue Wei, Huoyu Zheng, Jiwei Shi, Hongyi Wu, Zhiang Zhang
Summary: Building-energy consumption is the primary objective of urban energy consumption, aiming to optimize building operation and management techniques for sustainable building and built environments. However, there is a lack of accurate quantitative study on the relationship between accuracy of building-energy modelling (BEM) and computational load. This study quantitatively explores the effects of different resolution accuracies of building-model input data on energy simulation results and computational load.
Article
Thermodynamics
Mehdi Ghalambaz, Reza Jalilzadeh Yengejeh, Amir Hossein Davami
Summary: In this research, the Grey Wolf Optimizer (GWO) was utilized to minimize the energy consumption of an office building in Seattle, with optimal performance achieved using 40 wolves. Compared to other optimization algorithms, GWO efficiently led to excellent optimal solutions.
CASE STUDIES IN THERMAL ENGINEERING
(2021)
Article
Construction & Building Technology
Yin Li, Nima Bonyadi, Bruno Lee
Summary: Integrated building design considers design variables from different disciplines to promote high-performance, energy-efficient, and sustainable building designs. However, the complexity of the design increases with the dimension. Parallel decomposition can solve this problem by dividing the original problem into smaller subproblems. This study proposes a new variable grouping criterion for parallel decomposition to achieve global optimum solutions and decompose variables with strong interactions. Sensitivity analysis and interaction plots are used to evaluate the performance of the criteria.
JOURNAL OF BUILDING ENGINEERING
(2022)
Article
Construction & Building Technology
Jose Eduardo Pachano, Maria Fernandez-Vigil Iglesias, Antonis Peppas, Carlos Fernandez Bandera
Summary: In order to achieve the decarbonization target set by the European Union, the trend in the building industry is to electrify building services and replace fossil fuels with renewable energy sources. However, concerns about grid-network security and stability arise from the widespread use of PV systems. Therefore, optimizing the consumption of a building's own PV production is crucial to reduce excess output. This study proposes a demand side optimization strategy for the thermostatic controllable loads of a building, resulting in significant improvements in self-consumption.
ENERGY AND BUILDINGS
(2023)
Article
Construction & Building Technology
Yixing Chen, Zhiyi Ren, Zhiwen Peng, Jingjing Yang, Zhihua Chen, Zhang Deng
Summary: This study evaluated the impacts of climate change and building energy conservation measures on the energy consumption of urban buildings in Changsha, China. The results showed that while there was an increase in energy consumption for urban buildings over time, the application of energy-saving measures and rooftop photovoltaic systems could significantly reduce energy consumption.
JOURNAL OF BUILDING ENGINEERING
(2023)
Article
Construction & Building Technology
Alex Bradley, Haijiang Li, Honglei Qin, Wen Xi, Daniel Peel, Nicholas Nisbet
Summary: This research paper presents a requirements and process analysis for the ports and waterways domain to address the lack of BIM standards development, utilizing the IDM approach and openBIM standards ethos. The findings include 30 domain relevant use cases, a detailed process map for ports and waterways, and 38 exchange scenarios between various activities. The analysis provides core information for potential extensions to Industry Foundation Classes and data dictionary standards.
CONSTRUCTION INNOVATION-ENGLAND
(2022)
Article
Energy & Fuels
Ateyah Alzahrani, Ioan Petri, Ali Ghoroughi, Yacine Rezgui
Summary: This article discusses the increasing pressure on seaports to reduce carbon footprint and increase energy efficiency and global competitiveness. The fishing industry, which is one of the most energy-intensive activities at seaports, has seen a dramatic increase in global human consumption of fish. The paper presents a roadmap to convert fishing ports into carbon-free ports, aiming to reduce energy dependence from the national grid and promote sustainable energy practices.
Article
Energy & Fuels
Mariam Elnour, Yassine Himeur, Fodil Fadli, Hamdi Mohammedsherif, Nader Meskin, Ahmad M. Ahmad, Ioan Petri, Yacine Rezgui, Andrei Hodorog
Summary: This study proposes a neural network-based model predictive control system for managing and optimizing the HVAC system of a sports hall. The neural network model outperforms other machine learning models and achieves significant energy reduction while improving indoor environmental quality.
Article
Green & Sustainable Science & Technology
Mariam Elnour, Fodil Fadli, Yassine Himeur, Ioan Petri, Yacine Rezgui, Nader Meskin, Ahmad M. Ahmad
Summary: This research presents the first review article addressing the research gap in building operation management and optimization for sports facilities. The study highlights the importance of considering climate zones and facility characteristics. The findings reveal limited research on sports facility management and optimization compared to residential and commercial buildings, with a majority of studies focused on facilities in cold regions. The study suggests future research directions, including the use of deep learning, modular solutions, and renewable energy systems.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Construction & Building Technology
Usama Ahmed, Ioan Petri, Omer Rana
Summary: This research explores the application of a similar certification methodology to edge resources and how the CSA methodology would need to change to support this type of assessment, in order to enhance trust in the use of edge resources.
SUSTAINABLE CITIES AND SOCIETY
(2022)
Article
Construction & Building Technology
Giulia Cere, Yacine Rezgui, Wanqing Zhao, Ioan Petri
Summary: This research presents a risk-based approach to assess the risk of buildings under seismic conditions by optimizing the layout and thickness of specified shear walls, validated on a building in Beichuan, China. The methodology, validated on a building in Beichuan, China, demonstrates a reduction in risk and additional benefits.
JOURNAL OF BUILDING ENGINEERING
(2022)
Article
Computer Science, Artificial Intelligence
Yassine Himeur, Mariam Elnour, Fodil Fadli, Nader Meskin, Ioan Petri, Yacine Rezgui, Faycal Bensaali, Abbes Amira
Summary: This paper provides a comprehensive survey on using AI-big data analytics in building automation and management systems (BAMSs). It covers various AI-based tasks such as load forecasting, water management, indoor environmental quality monitoring, and occupancy detection. The paper adopts a well-designed taxonomy to overview existing frameworks and performs a critical discussion to identify current challenges. Additionally, it presents three case studies to demonstrate the real-world application of AI-big data analytics in BAMSs.
ARTIFICIAL INTELLIGENCE REVIEW
(2023)
Article
Construction & Building Technology
Andrei Hodorog, Ioan Petri, Yacine Rezgui
Summary: This article highlights the importance of social media data analysis in decision making within the context of a smart city. It presents the use of Natural Language Processing (NLP) techniques for real-time automated event detection on Twitter. Through semantic-based taxonomy and multiple regression analysis, it reveals the relationships between events and citizen satisfaction, providing valuable data for informed decision making.
SUSTAINABLE CITIES AND SOCIETY
(2022)
Article
Computer Science, Interdisciplinary Applications
Yasin Celik, Ioan Petri, Masoud Barati
Summary: This paper introduces a Blockchain-based BIM data provenance model to support information exchange in construction projects. Through real-world testing, it is demonstrated that the approach can enhance the competency levels and increase stakeholders' confidence in sharing BIM data.
COMPUTERS IN INDUSTRY
(2023)
Article
Computer Science, Interdisciplinary Applications
Yasin Celik, Ioan Petri, Yacine Rezgui
Summary: The construction industry faces challenges due to its complex structure and adversarial relationships. Blockchain technology can help by creating a decentralized and transparent system that improves efficiency and reduces delays and rework. This study explores the integration of BIM and Blockchain to enhance collaboration and improve process efficiency in construction projects.
COMPUTERS IN INDUSTRY
(2023)
Article
Automation & Control Systems
Yan Gao, Haijiang Li, Weiqi Fu
Summary: This study proposes a few-shot learning approach for damage detection using cross-domain transfer learning and improved ProtoNet. The experiments show that the method achieves high accuracy on a public dataset and demonstrates its capability in practical applications.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Computer Science, Interdisciplinary Applications
Ioan Petri, Yacine Rezgui, Ali Ghoroghi, Ateyah Alzahrani
Summary: This paper argues for the need of smarter and digital interventions for buildings and infrastructures, which can adapt to climate change and associated risks and enhance their adaptability and resilience. Digital models can help understand the complex relationship between environmental variables and performance, and explore real-time response strategies.
JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION
(2023)
Article
Construction & Building Technology
Kun Meng, Chunyi Cui, Haijiang Li, Hailong Liu
Summary: This paper presents a novel multi-objective holistic approach for energy pile system design using ontology based multi-domain knowledge orchestration, which provides designers with smart and holistic consideration by considering different factors such as financial, safety, and environmental impact.
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)
