Article
Construction & Building Technology
Ahadollah Azami, Harun Sevinc
Summary: By studying the building form and envelope surfaces, it is possible to determine the area required for building integrated photovoltaic systems to meet specific energy demands, playing a significant role in energy efficiency.
BUILDING AND ENVIRONMENT
(2021)
Article
Construction & Building Technology
Yuxing Wang, Chunyu Wei
Summary: The study proposes a design optimal method for office building envelopes based on quantum genetic algorithms to optimize the structure and reduce construction costs while improving energy efficiency. Using the quantum genetic algorithm resulted in an increase in window area, glass curtain wall ratio, while lowering costs and improving convergence speed. Compared to traditional genetic algorithms, total costs reduced by 35.3%, demonstrating better energy efficiency at lower construction costs.
JOURNAL OF BUILDING ENGINEERING
(2021)
Article
Green & Sustainable Science & Technology
Tharushi I. Samarasinghalage, W. M. Pabasara U. Wijeratne, Rebecca J. Yang, Ron Wakefield
Summary: This study introduces a multi-objective optimization framework to optimize life cycle energy and life cycle cost simultaneously, considering different types of BIPV applications. The framework includes a set of design variables such as tilt angle, window-to-wall ratio, PV placement and PV product type, and can generate a set of the best BIPV design alternatives.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Green & Sustainable Science & Technology
Luiza de Queiroz Correa, Diego Bagnis, Pedro Rabelo Melo Franco, Esly Ferreira da Costa Junior, Andrea Oliveira Souza da Costa
Summary: Building-integrated photovoltaics, especially organic solar technology, are important for reducing greenhouse gas emissions in the building sector. This study analyzed the performance of organic panels laminated in glass in a vertical installation in Latin America. Results showed that glass lamination and vertical orientation preserved the panels' performance and led to higher energy generation in winter.
Review
Thermodynamics
Zhengguang Liu, Zhiling Guo, Qi Chen, Chenchen Song, Wenlong Shang, Meng Yuan, Haoran Zhang
Summary: This paper summarizes the sociological and engineering challenges of smart building-integrated photovoltaic (SBIPV) systems and proposes a data-driven solution. Data Sensing, Data Analysis, Data-driven Prediction, and Data-driven Optimization are the key steps to achieve a data-driven SBIPV system. Additionally, the technologies and models for data-driven SBIPV systems are explored to enable automated operational decisions.
Article
Green & Sustainable Science & Technology
Xinyi Feng, Tao Ma, Yohei Yamaguchi, Jinqing Peng, Yanjun Dai, Dongxu Ji
Summary: This study assesses the solar irradiation resources and BIPV potential of residential buildings in different climate zones of China, concluding that roofs are the best option for BIPV installation. The study emphasizes the contribution of a combined rooftop and south facade BIPV system to building energy, and presents a comprehensive research framework for evaluating the potential of residential BIPV systems in various regions of China. The findings can provide guidance for BIPV deployment in China, especially as many provinces have implemented policies to promote distributed PVs.
ENERGY FOR SUSTAINABLE DEVELOPMENT
(2023)
Article
Construction & Building Technology
Mirzhan Kaderzhanov, Shazim Ali Memon, Assemgul Saurbayeva, Jong R. Kim
Summary: This research aims to analyze the energy consumption of residential buildings in Kazakhstan and reduce energy consumption by optimizing the envelope configuration. The results show that optimized measures can significantly reduce energy consumption during heating and cooling periods.
Article
Green & Sustainable Science & Technology
Chenshun Chen, Qiuhua Duan, Yanxiao Feng, Julian Wang, Neda Ghaeili Ardabili, Nan Wang, Seyed Morteza Hosseini, Chao Shen
Summary: This study presents an innovative solar decomposing model that accurately predicts the proportion of visible and infrared light in broadband solar radiation without the need for expensive spectrum measurements. The model uses a boosting regression tree method and leverages existing weather data. The results show high accuracy and predictive ability. Additionally, the study demonstrates the importance of the model in real-world applications for solar integration design.
Article
Thermodynamics
Mohamed Abdelgaied, A. E. Kabeel, A. W. Kandeal, H. F. Abosheiasha, S. M. Shalaby, Mofreh H. Hamed, Nu Yang, Swellam W. Sharshir
Summary: This study successfully simulated a new hybrid desalination unit merging humidification-dehumidification and reverse osmosis techniques, utilizing photovoltaic systems for power and thermal energy recovery units to enhance freshwater production and energy efficiency.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Agronomy
Sojung Kim, Sumin Kim
Summary: This study aims to propose a novel agrivoltaic system design that produces crops underneath photovoltaic (PV) modules. The study investigates the performance and feasibility of different shading ratios in an agrivoltaic system. The experiment shows that a shading ratio of 30% allows for the maximization of the profitability of electricity and soybean production.
Article
Thermodynamics
Ljubisav S. Stamenic, Christof Erban
Summary: Building integrated photovoltaics require a high level of expertise in various fields such as electrical knowledge, building physics, and building regulations. Customized design of modules necessitates modifications to standard electrical design and simulation tools, while a thorough understanding of complex shading effects and system design is advantageous.
Article
Construction & Building Technology
Samee Ullah Khan, Noman Khan, Fath U. Min Ullah, Min Je Kim, Mi Young Lee, Sung Wook Baik
Summary: Buildings play a significant role in global energy consumption due to global warming and climate changes. Net zero energy building (NZEB) has emerged as a popular concept aiming for a balance between power generation and consumption. However, challenges arise in NZEB due to mismatch between demand and supply caused by consumer behavior and weather conditions. This study proposes an efficient hybrid AI-based framework for accurate power consumption and generation forecasting, achieving improved performance compared to state-of-the-art techniques.
ENERGY AND BUILDINGS
(2023)
Review
Green & Sustainable Science & Technology
Tianyi Chen, Yaning An, Chye Kiang Heng
Summary: Energy consumption increase leads to higher carbon dioxide emissions and greenhouse effect, contributing to global warming. Buildings worldwide consume one-third of total energy, prompting the need for efficient technologies such as Building-integrated photovoltaics (BIPVs) for zero energy buildings. This research focuses on the tropical green building concept in Singapore, assessing the potential of solar photovoltaic energy and strategies for BIPV adoption, while considering life cycle assessment and industry standards. The findings aim to guide Singapore's decision on BIPV technology adoption.
Article
Green & Sustainable Science & Technology
Tien Nhat Tran, Gu Seomun, Ruda Lee, Hyomun Lee, Jongho Yoon, Dongsu Kim
Summary: This study investigates the thermal behaviors and power generation potential of a multi-skin facade design with photovoltaic systems on the southern facade of an office building. Various flexible changes in the design of the multi-skin facade system were considered. The results show that the proposed PV-integrated multi-skin facade system can reduce cooling and heating demands while achieving higher power generation performance compared to vertically installed PV systems.
Article
Green & Sustainable Science & Technology
Haitham Esam Rababah, Azhar Ghazali, Mohd Hafizal Mohd Isa
Summary: The building sector's fossil fuel consumption for electricity generation is at an all-time high, leading to increased global CO2 emissions and large carbon footprints, causing global warming. The study suggests that government policies and initiatives in Southeast Asian countries have a negative impact on building owners adopting BIPV technology, urging governments to revise policies to promote CO2 emission reduction efforts by building owners.
Article
Thermodynamics
Amr M. A. Youssef, Zhiqiang (John) Zhai, Rabee M. Reffat
BUILDING SIMULATION
(2015)
Article
Construction & Building Technology
Amr M. A. Youssef, Zhiqiang (John) Zhai, Rabee M. Reffat
ENERGY AND BUILDINGS
(2018)
Article
Architecture
Randa M. A. Mahmoud, Amr M. A. Youssef
Summary: This paper introduces a novel computational approach for supporting Architectural Design Education (ADE) in its early stages. It demonstrates the approach through the design of office workspaces, providing design alternatives, accurate evaluations, and student tracking.
INTERNATIONAL JOURNAL OF ARCHITECTURAL COMPUTING
(2022)
Article
Architecture
Randa M. A. Mahmoud, Amr M. A. Youssef
FRONTIERS OF ARCHITECTURAL RESEARCH
(2020)
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)