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
Construction & Building Technology
Zhixing Luo, Yiqing Lu, Yujie Cang, Liu Yang
Summary: This paper proposes a dual-objective optimization method that considers users' energy saving intentions to maximize the potential of building life cycle energy saving and cost reduction. The method was applied to a small office building and resulted in significant reductions in energy consumption and cost, providing theoretical guidance and practical tools for architectural design and optimization.
ENERGY AND BUILDINGS
(2022)
Article
Energy & Fuels
Ehsan Mirnateghi, Ayman S. Mosallam
Summary: This paper presents a study on developing a genetic algorithm for multi-criteria optimization of orthotropic, energy-efficient cementitious composite sandwich panels. Results show that the proposed optimization method can significantly reduce the cost of materials for CSP and increase the thermal resistance of the panels.
Article
Computer Science, Artificial Intelligence
X. J. Luo, Lukumon O. Oyedele
Summary: The building energy consumption forecasting system consists of data acquisition, pre-processing, and data analytics layers, with a core hybrid GA and LSTM neural network model. The system performs well in real-life building tests, improving forecasting accuracy and robustness.
ADVANCED ENGINEERING INFORMATICS
(2021)
Article
Thermodynamics
Lei Lei, Bing Wu, Xin Fang, Li Chen, Hao Wu, Wei Liu
Summary: This study proposes a dynamic anomaly detection algorithm for building energy consumption data, which combines unsupervised clustering algorithm with supervised algorithm to establish a semi-supervised matching mechanism. The algorithm has been tested and proved effective in detecting various forms of outliers in building energy consumption data.
Article
Energy & Fuels
Jinjin Guo, Runzong Liu, Tongshui Xia, Somayeh Pouramini
Summary: Building energy consumption minimization is a crucial issue for designers and architects, with simulation tools used to estimate demands and accelerate fault assessment. However, inaccuracies may arise due to interacting variables. An optimization-based calibration method, utilizing the Slime Mold Optimization algorithm, is proposed in this study. Case studies and statistical evaluations demonstrate the reliability of the procedure.
Article
Green & Sustainable Science & Technology
Huilai Wu, Feng Deng, Hongwei Tan
Summary: This study focuses on the design of zero energy residential buildings through the establishment of coupling relationship between parameters of complex systems and the adoption of multi-objective optimization approach. The design process and analysis model for the multi-objective optimization of zero energy buildings are established. The feasibility and technical routes for achieving zero energy for typical building types in different climate zones are compared and analyzed.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Computer Science, Information Systems
Hang Zhou, Xiao-Bing Hu, Jun Zhou, Hongji Yang
Summary: The article discusses the importance of constructing city air terminals in city centre and optimizing their locations. A mathematical model and a hybrid evolutionary method are introduced to improve passenger experience and enhance air transportation competitiveness. A case study in a large city in China demonstrates the effectiveness and efficiency of the proposed method for locating city air terminals in urban areas.
Article
Energy & Fuels
Fang'ai Chi, Ying Xu
Summary: This study proposes a digital gene map for optimizing the design of university dormitory buildings. Utilizing a multi-objective genetic algorithm and data statistics tool, optimized solutions can be obtained to improve building performance. Through comparison studies, it is found that the optimized solutions have better performance improvements for different types of study rooms. This method is applicable to various types of university dormitories.
Article
Computer Science, Information Systems
Yanhua Lu, Xuehui Gong, Andrew Byron Kipnis
Summary: This study combines neural networks and grey correlation method to analyze the energy consumption of individual buildings in universities, establishing a reliable model for qualitative analysis.
CMC-COMPUTERS MATERIALS & CONTINUA
(2022)
Article
Construction & Building Technology
Tingting Li, Yang Zhao, Chaobo Zhang, Jing Luo, Xuejun Zhang
Summary: Fault diagnosis plays a critical role in energy conservation of building HVAC systems. This paper proposes a knowledge-guided and data-driven fault diagnosis method that integrates the advantages of both knowledge-driven and data-driven methods, accurately interprets faults, and reveals fault mechanisms through local causal graphs.
BUILDING AND ENVIRONMENT
(2021)
Article
Optics
Jing Li, Zigang Li, Hong Zhao
Summary: This paper studies a method for efficient stereo matching under a short baseline for 3D measurement of large objects. By rectifying images and deducing the relationship between disparities, the calculation efficiency is greatly improved. Experimental results demonstrate the efficiency and accuracy of the method.
Article
Computer Science, Artificial Intelligence
Amany Khalil, Osama Tolba, Sherif Ezzeldin
Summary: This study proposes a novel lattice incubates boxes (LIB) method that optimizes a cellular office building form, considering 27 thermal zones and views percentage to the outdoor (VPO) as an objective in the multi-objective optimization (MOO) of building form and envelope. The results show that this method achieves good performance in energy efficiency.
ADVANCED ENGINEERING INFORMATICS
(2023)
Article
Construction & Building Technology
Xiang Li, Sha Liu, Yichao Sun
Summary: This study introduces the Goal Programming Model (GPM) as a solution for explicit design objective delivery and multi-stakeholder involved decision-making support in building design. The proposed GP-based optimization method, utilizing EnergyPlus(TM) and Genetic Algorithm (GA), can effectively satisfy various design requirements and provide explicit trade-off relationships among objectives.
Article
Thermodynamics
Xianya He, Jingzhi Huang, Zekun Liu, Jian Lin, Rui Jing, Yingru Zhao
Summary: The building sector is responsible for nearly 1/3 of global energy end-use and associated carbon emissions. Achieving efficient fulfillment of buildings' thermal demand is crucial for decarbonizing the sector. This paper introduces thermal activated building system (TABS) as an energy retrofit solution, proposing a floor-by-floor return water temperature control approach to reduce energy use and emissions. The approach optimizes the TABS topology and flow control, resulting in improved energy efficiency and cost reduction.
Article
Green & Sustainable Science & Technology
Rajat Saxena, Charu Dwivedi, Viresh Dutta, S. C. Kaushik, Dibakar Rakshit
Summary: This study focuses on enhancing the thermal properties of PCM-based TES systems by introducing TiO2 nanoparticles into the PCM matrix to form NEPCMs, resulting in an up to 37% increase in thermal conductivity. Beyond 2% concentration, partial settling of nanoparticles is observed over a 1-week duration.
CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY
(2021)
Article
Thermodynamics
C. Selvam, S. Manikandan, N. Vijay Krishna, Ravita Lamba, S. C. Kaushik, Omid Mahian
INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER
(2020)
Article
Thermodynamics
Rupinder Pal Singh, S. C. Kaushik, Dibakar Rakshit
INTERNATIONAL JOURNAL OF THERMAL SCIENCES
(2020)
Article
Energy & Fuels
Saket Verma, Kuldeep Kumar, L. M. Das, S. C. Kaushik
Summary: The study demonstrates that hydrogen enrichment in a biodiesel-biogas dual fuel engine can improve engine performance and reduce emissions. By optimizing injection conditions, significant improvements in efficiency and emission characteristics are achieved at both low and high engine loads.
JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME
(2021)
Article
Energy & Fuels
Rupinder Pal Singh, Jia Yin Sze, S. C. Kaushik, Dibakar Rakshit, Alessandro Romagnoli
Summary: This study investigates the thermal enhancement of a binary eutectic phase change material (PCM) laden with COOH-functionalized Graphene nanoplatelets for a solar cooling thermal storage system. The results show that the nano-composite has improved thermal conductivity and specific heat properties. In a solar cooling system, the new nano-composite accelerates heat storage process and reduces total melt duration.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Materials Science, Characterization & Testing
Gopinandan Dey, Abhijit Ganguli, Bishwajit Bhattacharjee
Summary: Moisture content significantly affects the durability and service life of concrete structures. Non-invasive electrical techniques are commonly used to measure moisture content and correlate electrical response to the Degree of Saturation (DoS) of the material. A study successfully reconstructed the impedance distribution along the length of samples and proposed an empirical relationship between DoS and impedance for estimating moisture profiles in samples with different moisture distributions.
JOURNAL OF NONDESTRUCTIVE EVALUATION
(2021)
Article
Construction & Building Technology
Suresh Kumar Padala, Shashank Bishnoi, Bishwajit Bhattacharjee
Summary: In this study, a moisture transport model in concrete was developed and its importance in durability studies in the tidal zone was highlighted by comparing different tide models.
MAGAZINE OF CONCRETE RESEARCH
(2022)
Review
Green & Sustainable Science & Technology
P. R. Chauhan, S. C. Kaushik, S. K. Tyagi
Summary: Adsorption refrigeration technology has gained attention for its ability to utilize low-grade thermal energy, with research focusing on the effects of various working parameters to enhance the system's thermal performance.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Review
Green & Sustainable Science & Technology
S. K. Singh, S. C. Kaushik, V. V. Tyagi, S. K. Tyagi
Summary: The article discusses the impact of design, operation, and environmental characteristics of solar desalination systems on performance and water quality, as well as the limitations of basin-type solar still and recommendations for future work.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2021)
Article
Engineering, Civil
Suresh Kumar Padala, Shashank Bishnoi, Bishwajit Bhattacharjee
Summary: This study proposes a methodology to estimate the safe cover thickness for steel in concrete structures exposed to the marine tidal zone. By using 100-year-long simulations of chloride transport and real-time meteorological and tidal height data, the study assesses the safe cover thicknesses at six Indian coastal stations. The results show significant variations (25-30 mm) in the safe cover thicknesses, indicating the need for corrosion vulnerability zoning of coastlines.
STRUCTURE AND INFRASTRUCTURE ENGINEERING
(2023)
Proceedings Paper
Materials Science, Multidisciplinary
Suresh Kumar Padala, Shashank Bishnoi, Bishwajit Bhattacharjee
Summary: This study proposes a mathematical framework for comparing the severity of chloride penetration in concrete structures exposed to different tidal zones. Validated moisture and chloride transport models are used to simulate the moisture and chloride profiles in concrete, considering real-time tide heights and meteorological parameters. This method can be used to compare the corrosion vulnerability of different coastal stations and classify them based on durability.
MATERIALS TODAY-PROCEEDINGS
(2022)
Article
Energy & Fuels
S. K. Singh, S. C. Kaushik, V. V. Tyagi, S. K. Tyagi
Summary: This study investigates a novel approach of utilizing waste heat from domestic cooking devices to assist a solar desalination system, showing its feasibility through simulation and experimentation. By providing an air gap of 0.05 cm between the combustion chamber and the water jacket, the efficiency of waste heat recovery was significantly improved without affecting the performance of the cookstove.
INTERNATIONAL JOURNAL OF ENERGY AND ENVIRONMENTAL ENGINEERING
(2022)
Article
Thermodynamics
Saket Verma, L. M. Das, S. C. Kaushik
Summary: The study found that in dual fuel operations, biogas can replace up to 80% of liquid fuel, but also results in reductions in energy and exergy efficiencies.
INTERNATIONAL JOURNAL OF EXERGY
(2021)
Article
Environmental Studies
Umish Srivastva, K. Ravi Kumar, R. K. Malhotra, S. C. Kaushik
Summary: This paper presents an analysis of a concentrated solar thermal power plant from the perspectives of energy, exergy, economics, environment, and ethics, with a focus on reducing capital costs and improving efficiency to achieve energy savings, cost savings, and transition to renewable energy.
ENERGY & ENVIRONMENT
(2021)
Article
Construction & Building Technology
Sana Fatima Ali, Lakshya Sharma, Dibakar Rakshit, Bishwajit Bhattacharjee
JOURNAL OF ARCHITECTURAL ENGINEERING
(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)
