Article
Energy & Fuels
Nils Klasen, Daniel Weisser, Torsten Roessler, Dirk Holger Neuhaus, Achim Kraft
Summary: The study examined the shading tolerance of two types of solar modules based on shingle interconnection, revealing significant power output advantages under partial shading for the matrix layout and decreased risk of hotspot occurrence.
PROGRESS IN PHOTOVOLTAICS
(2022)
Article
Computer Science, Information Systems
Amalia Luque, Mirko Mazzoleni, Alejandro Carrasco, Antonio Ferramosca
Summary: This paper focuses on the visualization techniques for classification results, aiming to address the poor interpretability issue in machine learning applications. A new visualization tool, the Confusion Star and Confusion Gear, is proposed to represent the matrix cells using shapes instead of colors, improving the readability of confusion matrices. The proposed tools are evaluated on various scenarios and their areas are found to be directly related to standard classification metrics.
Article
Computer Science, Information Systems
Mohammadreza Heydarian, Thomas E. Doyle, Reza Samavi
Summary: In multi-label classification tasks, traditional confusion matrix is not applicable for performance assessment. Current assessment techniques calculate performance averages for evaluation, but suffer from ambiguity. To address this, we propose a method of creating multi-label confusion matrix based on problem categories and demonstrate its effectiveness through experiments.
Article
Energy & Fuels
Ramon Elias Weber, Caitlin Mueller, Christoph Reinhart
Summary: This study proposes the use of solar exoskeletons in building systems to address the challenge of low carbon buildings. By optimizing material usage and controlling solar gains, solar exoskeletons can significantly reduce carbon emissions and achieve net zero energy solutions.
Article
Environmental Sciences
Nigel Van Nieuwenhuizen, John B. Lindsay, Ben DeVries
Summary: Fine-resolution LiDAR DEMs can accurately represent surface features such as road and railway embankments. A novel algorithm was proposed to identify embankments in LiDAR DEMs, achieving moderate to high accuracy. The technique showed good performance on test DEMs from southwest Ontario, Canada, with acceptable processing times for practical applications.
Article
Engineering, Chemical
Anindya-Sundar Jana, Hwa-Dong Liu, Shiue-Der Lu, Chang-Hua Lin
Summary: The study proposes a new MPPT algorithm by combining the traditional P&O algorithm with a solar radiation value detection scheme, which can achieve high MPPT efficiency under rapidly changing solar radiation and partial shading conditions.
Article
Construction & Building Technology
Caitlyn Shum, Lexuan Zhong
Summary: Enhancing urban sustainability requires innovative strategies to improve energy performance in buildings. This study focuses on the application of automated shading systems in cold climate zones and develops a novel sensorless control strategy. The results show that the optimized control strategy can reduce indoor peak temperatures and overnight cooling rate, making it a suitable green retrofit strategy for cold climate zone buildings.
ENERGY AND BUILDINGS
(2023)
Article
Multidisciplinary Sciences
Weiping Peng, Shuang Cui, Cheng Song
Summary: The proposed one-time-pad cipher algorithm, based on confusion mapping and DNA storage technology, increases key space through confusion mapping methods and biological operation simulation, realizing a more random encryption and decryption process. The algorithm combines mathematical and biological security, with advantages in cracking DNA biological experiments and relatively high computational security.
Article
Engineering, Environmental
Elisa Giaccone, Fabio Oriani, Marj Tonini, Christophe Lambiel, Gregoire Mariethoz
Summary: This study compares the performance of two data-driven algorithms, Direct Sampling (DS) and Random Forest (RF), in geomorphological classification. Both DS and RF show similar levels of accuracy and Kappa values, making them suitable for semi-automated geomorphological mapping in alpine environments.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
(2022)
Article
Energy & Fuels
Cui Li, Xuyun Yu, Zhengrong Li, Yi Zhao, Yuxin Liu, Xiangchao Lian, Yanbo Feng, Han Zhu
Summary: This study investigates the sensor position for shading control in different office spaces based on UDI2000 lux [50%] and UDI450-2000 lux [50%] indices. The Entropy Weight method is used to determine the weight of each index, while the ideal point method (TOPSIS method) is used to select the best sensor location. Recommendations for sensor positioning are provided for different space scales, window-to-wall ratios, and building orientations.
Article
Automation & Control Systems
Changzhong Wang, Yan Wang, Tingquan Deng, Yang Huang
Summary: The relationship between features and labels in multi-label learning is crucial. Many existing methods decompose the label matrix into a low-rank latent label matrix and a projection matrix, constructing a linear mapping between feature space and low-rank latent label space. However, the relationship between high-dimensional spaces is often nonlinear in practice. Therefore, this paper proposes a novel classification model that considers the nonlinear mapping from feature space to latent label space in multi-label learning.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Engineering, Biomedical
Mehmet Baygin
Summary: This study successfully detected and classified abnormal brain activities of healthy and schizophrenic individuals by processing EEG signals, achieving 99.12% accuracy by using TQWT and statistical moment methods for feature extraction, ReliefF method for feature selection, and ensemble subspace kNN method for classification. Comparisons with literature show that this method is fast and highly successful.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2021)
Article
Mathematics
Inmaculada Barranco-Chamorro, Rosa M. Carrillo-Garcia
Summary: Confusion matrices are numerical structures that deal with error distribution between different classes in classification. Two statistical methods, McNemar-type tests and Bayesian proposal based on Dirichlet distribution, are considered to handle this issue. Three applications have been conducted using R software.
Article
Thermodynamics
Dia Milani, Minh Tri Luu, Scott Nelson, Ali Abbas
Summary: This paper presents process control strategies for effectively regenerating the rich solvent and replacing the conventional desorption unit in the PCC using a novel solar stripper network. The effect of solar heat flux is analyzed and categorized by an active control strategy in synergy with absorber operation. Lean loading control strategy provides the most consistent operation and desirable thermodynamic regime, absorbing a larger range of solar heat flux without violating solvent temperature and pressure-drop constraints.
Article
Construction & Building Technology
Jiarong Xie, Azadeh Omidfar Sawyer
Summary: This research developed a simulation-assisted data-driven method for glare control using machine learning algorithms, which was shown to effectively reduce glare, save lighting energy, and improve view access.
BUILDING AND ENVIRONMENT
(2021)
Article
Energy & Fuels
Yuekuan Zhou, Sunliang Cao, Jan L. M. Hensen
Summary: This study proposes technical solutions to promote resilient and smart energy systems, including novel energy management strategies and dynamic battery cycling aging models. The research results show that the energy paradigm transition has a significant impact on net present value and annual net DEC, with battery cost being more sensitive to the energy paradigm.
Article
Construction & Building Technology
Luyi Xu, Fang Guo, Pieter-Jan Hoes, Xudong Yang, Jan L. M. Hensen
Summary: This paper presents a modeling and simulation method to support the energy performance assessment and operation strategy investigation of borehole thermal energy storage in the Chifeng district heating system. Through a living laboratory in Chifeng, China, with a integrated system, the research adopts Modelica models to evaluate the system and found that the time-scheduled combined operation strategy is more beneficial for reducing CO2 emissions.
ENERGY AND BUILDINGS
(2021)
Article
Energy & Fuels
Afaq A. Butt, Samuel B. de Vries, Roel C. G. M. Loonen, Jan L. M. Hensen, Anthonie Stuiver, Jonathan E. J. van den Ham, Bart S. J. F. Erich
Summary: The optimal TC coating properties vary depending on climate and building types. TC coatings with high switching temperatures are more energy efficient in scenarios with high heating demands, while TC coatings with low switching temperatures perform better in scenarios with high cooling demands.
Article
Construction & Building Technology
Samuel B. de Vries, Roel C. G. M. Loonen, Jan L. M. Hensen
Summary: This paper evaluates the potential of a novel multi-state sun-tracking vertical-blind concept using building performance simulation. The ST-VB strategies outperformed conventional automated roller-blinds in preventing visual discomfort, admitting daylight, allowing for views to the outdoors, and improving energy performance. The research provides recommendations for the development of the ST-VB system and contributes to the knowledge on performance modeling of complex fenestration systems.
JOURNAL OF BUILDING ENGINEERING
(2021)
Article
Construction & Building Technology
Soheil Alavirad, Saleh Mohammadi, Pieter-Jan Hoes, Luyi Xu, Jan L. M. Hensen
Summary: In the EU, buildings account for about 40% of the final energy consumption, with 65% of that being used for space heating. By reducing the demand for space heating, significant energy savings can be achieved. In the Netherlands, there are approximately 6 million residential buildings constructed before 2005 that need to reduce their energy demand to meet nZEB requirements. The main challenge in large-scale energy retrofit of buildings is classifying housing types based on the severity of demand reduction.
ENERGY AND BUILDINGS
(2022)
Article
Energy & Fuels
B. Meng, R. C. G. M. Loonen, J. L. M. Hensen
Summary: This paper analyzes long-term monitoring data of 246 identical rooftop PV systems and investigates the mechanism of PV performance variations. The study finds that PV performance variability is significant in the real built environment, not only between different locations but also between peer systems in the same neighborhood. To mitigate financial risks and reduce PV yield prediction error, it is recommended to commission and monitor PV systems in the field for at least one month with the largest range of solar elevation.
Article
Green & Sustainable Science & Technology
B. Tian, R. C. G. M. Loonen, A. Bognar, J. L. M. Hensen
Summary: This paper compares the impacts of four different reconstruction algorithms on the performance of raytracing simulations, and finds that the reconstructed models consistently underestimate shading influence. Explicit algorithms perform better with less embedded error, and diffuse irradiance contributes more to the overall error than direct components. The error magnitude is also affected by solar elevation and shading geometry types.
Article
Construction & Building Technology
Francesco Carlucci, Roel C. G. M. Loonen, Francesco Fiorito, Jan L. M. Hensen
Summary: This study proposes an innovative approach to analyze the energy behavior of complex kinetic shading systems. It develops and validates a tool based on Python and EnergyPlus that can consider the continuous nature of energy simulation and analyze complex kinetic systems. The algorithm provides a comparison sheet to evaluate the performance of the system by providing an EnergyPlus model and a model of the shading configurations.
JOURNAL OF BUILDING PERFORMANCE SIMULATION
(2023)
Article
Construction & Building Technology
Angelica Walsh, Daniel Costola, Jan L. M. Hensen, Lucila Chebel Labaki
Summary: This paper presents the first application of performance-based zoning to Brazil, using an open-source toolbox to revise the Brazilian climatic zoning standard. The study simulates and analyzes 100 variants of a detached dwelling for 298 locations in terms of energy demand, thermal comfort, and mould growth risk. The proposed zoning method, incorporating expert insights, outperforms the current Brazilian and degree-day zones.
BUILDING AND ENVIRONMENT
(2023)
Article
Construction & Building Technology
B. Tian, R. C. G. M. Loonen, J. L. M. Hensen
Summary: This paper presents a novel method for comprehensive solar irradiance assessment that considers the dynamic partial shading impacts from trees. The method, which takes urban point clouds as input, shows significant reduction in simulation errors compared to alternative approaches, while limiting the required input data. The primary source of uncertainty stems from mismatches between tree morphology in the fusion model and reality.
ENERGY AND BUILDINGS
(2023)
Article
Energy & Fuels
Shuwei Wang, Pieter-Jan Hoes, Jan L. M. Hensen, Olaf C. G. Adan, Pim A. J. Donkers
Summary: With the increasing share of renewable energy in total energy consumption, the temporal mismatch between energy supply and demand in buildings is becoming a challenge. Thermochemical heat storage, with its considerable energy density, acceptable cost, and negligible heat loss, is a promising alternative to common heat storage solutions in building applications. This study proposes a method that combines modeling and simulation to assess the potential impact and benefit of a thermochemical heat storage system integrated into a building, using a data-driven surrogate model and a building performance simulation engine. The results from a case study show that the heat battery can effectively reduce electricity consumption for heating a detached house without sacrificing thermal comfort, and that a small-scale heat battery exhibits efficient usage of the designed storage capacity.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Chemistry, Multidisciplinary
Effrosyni Gkaniatsou, Chaoben Chen, Frederic S. Cui, Xiaowei Zhu, Paul Sapin, Farid Nouar, Cedric Boissiere, Christos N. Markides, Jan Hensen, Christian Serre
Summary: As worldwide cooling energy demands continue to rise, thermally driven cooling technology provides an alternative solution to electric heat pumps. By utilizing water-stable microporous aluminum-carboxylate-based metal-organic frameworks (Al-MOFs) as sorbents, high thermal efficiency and specific cooling power can be achieved in typical cooling scenarios.
CELL REPORTS PHYSICAL SCIENCE
(2022)
Article
Construction & Building Technology
Rizki A. Mangkuto, Mochamad Donny Koerniawan, Sri Rahma Apriliyanthi, Irma Handayani Lubis, Atthaillah, Jan L. M. Hensen, Beta Paramita
Summary: This study aims to explore the optimization of shading devices in high-rise buildings in tropical regions and evaluate the effectiveness of fixed and adaptive design options using computational modeling and simulation. The results show that the fixed design option can achieve the daylight targets on the north and south facades, while the east and west facades require the implementation of adaptive design options.
