Article
Energy & Fuels
Linus Walker, Illias Hischier, Arno Schlueter
Summary: This study proposes a scenario-based robustness assessment method to investigate the effects of future developments on buildings' greenhouse gas emissions. The method includes scenario generation, building energy simulation, emission calculations, and statistical evaluation. The research demonstrates the application of the method on a case study and highlights the importance of assessing future scenarios in the design phase for building designers.
Article
Computer Science, Artificial Intelligence
Deyuan Meng, Jingyao Zhang
Summary: This article introduces a system equivalence transformation method for robust iterative learning control, addressing the contradiction in convergence conditions and simplifying the control of system signals while ensuring the convergence of output tracking errors. Simulation examples are provided to validate the established robust ILC results.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2021)
Article
Construction & Building Technology
Tomas Ekstrom, Rikard Sundling, Stephen Burke, Lars-Erik Harderup
Summary: The method developed is aimed at aiding decision-makers in the building design process by considering uncertainties from the design phase and quantifying the probability of meeting energy performance criteria and financial requirements. It can be used as a comparative study of optional building designs based on different stakeholder values and consequence models to quantify the economic consequences of failing to comply with energy requirements.
ENERGY AND BUILDINGS
(2021)
Article
Energy & Fuels
Susana M. G. Santos, Ana T. F. S. Gaspar, Denis J. Schiozer
Summary: This study proposes a decision framework to estimate the best approach to manage uncertainty at early stages of field development. By combining information, robustness, and flexibility, and automating the process with predefined uncertain scenarios and optimized production strategies, it aims to improve the effectiveness of oil field development.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
(2021)
Article
Engineering, Aerospace
Daejin Lim, Hyeongseok Kim, Kwanjung Yee
Summary: This paper focuses on the uncertainty propagation in the flight performance of multirotor-type unmanned aerial vehicles during the conceptual design phase. A conceptual design and analysis framework is used to estimate the multirotor performance. Parametric uncertainties in the multirotor components and model uncertainties in the analysis models are considered. Monte Carlo Simulation is used to quantify the performance variance under various flight conditions with different multirotor configurations. The study finds that the uncertainties in the electric components and circuit analysis are more dominant than those related to rotor aerodynamics, and the uncertainty effect is independent of the multirotor configuration, yielding similar results in quadrotor and hexarotor configurations.
AEROSPACE SCIENCE AND TECHNOLOGY
(2022)
Article
Thermodynamics
Jian Yao, Youxian Huang, Kaixiang Cheng
Summary: This study focused on the coupling effect of building design variables on building energy performance in a hot summer and cold winter zone. The Latin hypercube method was used to sample architectural design features under different combinations of variables, and energy consumption simulations were conducted using EnergyPlus. Treed Gaussian process was utilized to analyze potential interaction effects, while linear regression was employed for quantitative analysis of the coupling effect. The study revealed that proper selection of parameters should consider the interactions between variables, particularly the heat transfer coefficient of windows, window-to-wall ratio, and air infiltration.
CASE STUDIES IN THERMAL ENGINEERING
(2021)
Article
Computer Science, Artificial Intelligence
Chanachok Chokwitthaya, Yimin Zhu, Supratik Mukhopadhyay
Summary: This study investigates the robustness of BPMs using perturbation techniques, showing that structured transformation techniques significantly reduce the robustness of GAN while additive perturbation maintains relatively robustness. Additionally, the sensitivity of the GAN varies with different magnitudes of perturbed input datasets.
ADVANCED ENGINEERING INFORMATICS
(2021)
Article
Energy & Fuels
Adrian Chong, Godfried Augenbroe, Da Yan
Summary: This study investigates the impact of different spatial resolutions of occupancy data on building energy use prediction accuracy, finding that deriving occupancy and plug-load schedules from WiFi data can improve the accuracy of building energy models. However, increasing spatial resolution may lead to trade-offs between parameter uncertainty and model bias/inadequacy.
Article
Energy & Fuels
Adrian Chong, Godfried Augenbroe, Da Yan
Summary: This study investigates the impact of occupancy data on energy prediction accuracy through Bayesian calibration, finding that using WiFi data to derive occupancy and plug-load schedules can improve the accuracy of building energy models. However, increasing the spatial resolution of occupancy data may result in trade-offs between parameter uncertainty and model bias.
Article
Engineering, Mechanical
Maria Boettcher, Wolfgang Graf, Michael Kaliske
Summary: This article introduces a design optimization process considering uncertainty, with a focus on modeling, analyzing, and evaluating uncertainties in tire design parameters. Different uncertainty modeling approaches are selected based on the types of uncertainty and the availability of data.
PROBABILISTIC ENGINEERING MECHANICS
(2022)
Article
Engineering, Civil
Minghui Cheng, Dan M. Frangopol
Summary: Managing bridge networks faces challenges in optimization due to uncertainties associated with climate change and socioeconomic growth. This paper proposes a scheme for knowledge transfer between scenarios to accelerate analysis. The scheme utilizes surrogate modeling and meta-learning to implement knowledge transfer and optimization.
Article
Multidisciplinary Sciences
Fredrik Jansson, Wouter Edeling, Jisk Attema, Daan Crommelin
Summary: In this study, modern uncertainty quantification methods were used to investigate uncertainties in a large eddy simulation of the atmosphere. The research focused on analyzing uncertainties related to physical parameters and modeling choices, finding substantial uncertainties due to small random initial state perturbations and identifying the choice of advection scheme as the most influential modeling choice. This study provides insights into the uncertainties in climate modeling and highlights the importance of assessing uncertainties in both physical parameters and modeling choices.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
(2021)
Article
Automation & Control Systems
Pieter Appeltans, Silviu-Iulian Niculescu, Wim Michiels
Summary: This paper presents an analysis of the stability properties of PID controllers for dynamical systems with multiple state delays. It focuses on the mathematical characterization of the potential sensitivity of stability with respect to small parameter perturbations originating from neglecting feedback delay, a finite-difference approximation of the derivative action, or neglecting fast dynamics. The paper introduces the concept of "strong stability" and proves that it can be achieved by adding a low-pass filter with a sufficiently large cutoff frequency to the control loop, as long as the filter itself does not destabilize the nominal closed loop system. The theoretical results are illustrated by analytical examples, including a third-order unstable system. The paper also provides a computational procedure for designing strongly stabilizing PID controllers.
SIAM JOURNAL ON CONTROL AND OPTIMIZATION
(2022)
Article
Engineering, Civil
Angshuman Deb, Joel P. Conte, Jose Restrepo
Summary: This study presents a rigorous framework for the seismic design and assessment of ordinary standard bridges in California, with considerations for multiple sources of uncertainty. The analysis incorporates uncertainties related to seismic input, finite element model parameters, and parameter estimation using finite datasets. Including these uncertainties is crucial for obtaining comprehensive and reliable design results in seismic performance assessment.
EARTHQUAKE ENGINEERING & STRUCTURAL DYNAMICS
(2022)
Article
Construction & Building Technology
Shuai Lu, Chunxiao Wang, Yue Fan, Borong Lin
Summary: Building performance optimization is effective but may lack robustness with uncertainties in input parameters. Stochastic optimization shows promise in handling this issue, but its impact on improving robustness is uncertain. Reducing uncertainty in input parameters and aligning assumed distribution with real distribution are more effective strategies.
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
Construction & Building Technology
Christina Papachristou, Pieter-Jan Hoes, M. G. L. C. Loomans, T. A. J. van Goch, J. L. M. Hensen
Summary: Demand Response is used to reduce the mismatch between renewable energy generation and electricity demand. Buildings can provide energy flexibility through their thermal mass, with factors such as thermal capacity and window to wall ratio having a significant impact. The study shows that in certain cases, the potential energy shiftable by the thermal mass of a building can be comparable to commercial battery capacity.
JOURNAL OF BUILDING ENGINEERING
(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
A. Bognar, R. C. G. M. Loonen, J. L. M. Hensen
Summary: This paper introduces a new modeling method using Digital Surface Model point clouds for simulating solar irradiance, simplifying the simulation workflow and improving accuracy in assessing photovoltaic yield and solar gains of buildings. Two case studies demonstrate that ignoring shading from surroundings can lead to various prediction errors.
JOURNAL OF BUILDING PERFORMANCE SIMULATION
(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.
Review
Construction & Building Technology
Robert S. McLeod, Christina J. Hopfe, Eberhard Bodenschatz, Heinz-Joern Moriske, Ulrich Poeschl, Tunga Salthammer, Joachim Curtius, Frank Helleis, Jennifer Niessner, Caroline Herr, Thomas Klimach, Martin Seipp, Thomas Steffens, Christian Witt, Stefan N. Willich
Summary: Evidence shows that implementing layered prevention strategies and appropriate measures can greatly reduce the risk of COVID-19 transmission in classroom teaching. Wearing high-quality masks and regular testing are among the most important measures, and effective ventilation systems can significantly reduce infection risks in classrooms.
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.
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)
