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PSO-guided optimal estimator enabled regularized adaptive extended Kalman filter with unknown inputs for dynamic nonlinear indoor thermal state estimation J. Build. Perform. Simul. (IF 2.5) Pub Date : 2024-03-06 Bed Prakash Das, Kaushik Das Sharma, Amitava Chatterjee, Jitendra Nath Bera
This paper presents a particle swarm optimization-guided maximum likelihood estimation enabled (MLE) adaptive extended Kalman filter (EKF) with unknown inputs algorithm for estimating the dynamic n...
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Towards digital twinning for multi-domain simulation workflows in urban design: a case study in Gothenburg J. Build. Perform. Simul. (IF 2.5) Pub Date : 2024-02-27 Alex Gonzalez-Caceres, Franziska Hunger, Jens Forssén, Sanjay Somanath, Andreas Mark, Vasilis Naserentin, Joakim Bohlin, Anders Logg, Beata Wästberg, Dominika Komisarczyk, Fredrik Edelvik, Alexander Hollberg
This work proposes an automated workflow using digital twinning for multi-domain environmental performance analysis of urban developments. Digital twins can potentially provide a common basis for m...
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Adaptation to extreme weather events using pre-conditioning: a model-based testing of novel resilience algorithms on a residential case study J. Build. Perform. Simul. (IF 2.5) Pub Date : 2024-01-29 Milad Rostami, Scott Bucking
Climate change increases the frequency and intensity of extreme weather events that can be a prominent cause of power outages in North America. These events may cause buildings to experience outage...
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Accommodating new calculation approaches in next-generation energy performance assessments J. Build. Perform. Simul. (IF 2.5) Pub Date : 2024-01-24 David Jenkins, Peter McCallum, Sandhya Patidar, Sally Semple
Building energy policy, such as the Energy Performance of Buildings Directive (EPBD), has a direct effect on use of building models and related parameters. Modelling annual energy consumption of a ...
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Temperature-dependency of hysteretic sorption in hygrothermal modelling of wood fibreboard sheathing: analysis of exterior wall laboratory experiments J. Build. Perform. Simul. (IF 2.5) Pub Date : 2023-12-27 Petteri Huttunen, Juha Vinha
Wood is known for its temperature-dependent and hysteretic sorption behaviour. Several hysteresis models can be found from the literature, but the temperature-dependency of sorption especially in c...
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Comparing overheating risk and mitigation strategies for two Canadian schools by using building simulation calibrated with measured data J. Build. Perform. Simul. (IF 2.5) Pub Date : 2023-12-18 Fuad Mutasim Baba, Kathryn Chung Tze Cheong, Hua Ge, Radu Zmeureanu, Liangzhu (Leon) Wang, Dahai Qi
This paper compares the indoor overheating risk of two schools by considering the effect of selected building parameters, under extreme current and future climates, and proposes mitigation strategi...
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A call to action for building energy system modelling in the age of decarbonization J. Build. Perform. Simul. (IF 2.5) Pub Date : 2023-11-30 Michael Wetter, Matthias Sulzer
As urban energy systems become decarbonized and digitalized, buildings are increasingly interconnected with one another and with the industrial and transportation sector. Transformation strategies ...
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Using Fourier series to obtain cross periodic wall response factors J. Build. Perform. Simul. (IF 2.5) Pub Date : 2023-11-22 Fernando Varela, Eduardo Theirs, Cristina González-Gaya, Susana Sánchez-Orgaz
Wall periodic response factors are a very usual calculation method of transient heat transfer through building envelope elements (walls, roofs …) in steady periodic conditions, used in popular heat...
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Limitations and issues of conventional artificial neural network-based surrogate models for building energy retrofit J. Build. Perform. Simul. (IF 2.5) Pub Date : 2023-11-17 Chul-Hong Park, Cheol Soo Park
Artificial neural network (ANN) based surrogate models have been widely used in place of high-fidelity simulation tools. Error metrics such as mean absolute error, and root mean squared error (RMSE...
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Approximating model predictive control strategies for heat pump systems applied to the building optimization testing framework (BOPTEST) J. Build. Perform. Simul. (IF 2.5) Pub Date : 2023-11-16 Laura Maier, Julius Brillert, Ettore Zanetti, Dirk Müller
Model predictive control (MPC) is promising for optimizing building's operation but high hardware, software and know-how requirements impede its commercialization. Therefore, rule-based controllers...
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An empirical review of methods to assess overheating in buildings in the context of changes to extreme heat events J. Build. Perform. Simul. (IF 2.5) Pub Date : 2023-11-07 Rebecca Cole, Ralph Evins, Matt Eames
Under climate change, extreme heat events are projected to become more frequent and intense. With people spending approximately 90% for their time indoors and buildings having long lifetimes, it is...
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Coupling BIM and detailed modelica simulations of HVAC systems in a common data environment J. Build. Perform. Simul. (IF 2.5) Pub Date : 2023-10-30 Esben Visby Fjerbæk, Mikki Seidenschnur, Ali Kücükavci, Kevin Michael Smith, Christian Anker Hviid
In current building design practices, the operation and performance of heating, ventilation and air conditioning (HVAC) systems are rarely documented in detail. This is mainly caused by the manual ...
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Rooftop unit comparison calculator: a framework for comparing performance of rooftop units with building energy simulation J. Build. Perform. Simul. (IF 2.5) Pub Date : 2023-10-19 Sen Huang, Nick Fernandez, Srinivas Katipamula, Alekzander Parsons, Amelia Bleeker
The applications of building energy simulation (BES) in designing heating, ventilation, and air conditioning (HVAC) systems are limited by the high costs of developing simulation models and the lac...
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Spawn: coupling Modelica Buildings Library and EnergyPlus to enable new energy system and control applications J. Build. Perform. Simul. (IF 2.5) Pub Date : 2023-10-11 Michael Wetter, Kyle Benne, Hubertus Tummescheit, Christian Winther
Spawn is DOE's next-generation tool chain for whole building energy control simulation. Spawn couples traditional imperative load-based envelope modelling with new equation-based modelling of HVAC ...
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Integrated urban heat sinks for low-carbon neighbourhoods: dissipating heat to the ground and sky through building structures J. Build. Perform. Simul. (IF 2.5) Pub Date : 2023-10-06 Eduardo Gascón Alvarez, Kiley Feickert, Mohamed A. Ismail, Caitlin T. Mueller, Leslie K. Norford
In a global context of simultaneous urbanization and rising ambient temperatures, it is imperative to design heat-resilient and material-efficient neighbourhoods that respond to the pressing demand...
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Developing a statistical electric vehicle charging model and its application in the performance assessment of a sustainable urban charging hub J. Build. Perform. Simul. (IF 2.5) Pub Date : 2023-09-22 N. J. Kelly, G. H. Flett, J. W. Hand
A statistical model to calculate dynamic, electric vehicle (EV) charging loads at public hubs, which can be used with building simulation tools is presented; it was generated using two, real datase...
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Risk of incorrect choices due to uncertainty in BPS evaluations of conceptual-stage neighbourhood-scale building designs J. Build. Perform. Simul. (IF 2.5) Pub Date : 2023-09-19 Minu Agarwal, Luisa Pastore, Marilyne Andersen
At the conceptual-stage, building performance simulation (BPS) based evaluations are being increasingly used for tasks such as ranking of competing massing design proposals. However, such conceptua...
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Simulating annual autoregulation of daylight by grating smart window with angular-selective transmission J. Build. Perform. Simul. (IF 2.5) Pub Date : 2023-09-12 Rustam S. Zakirullin, Irina A. Odenbakh
As a basis for further development of the BPS computer software, a method for simulating the characteristics of buildings with grating smart windows is proposed. This novel smart technology provide...
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Thermal resilience in a renovated nearly zero-energy dwelling during intense heat waves J. Build. Perform. Simul. (IF 2.5) Pub Date : 2023-09-01 Deepak Amaripadath, Mitali Yeshwant Joshi, Mohamed Hamdy, Steffen Petersen, Brian Stone, Jr. Junior, Shady Attia
Overheating risk is expected to rise in dwellings as heat waves continue increasing in intensity and duration. This paper presents a simulation-based study on thermal resilience in a benchmark renovated nearly zero-energy dwelling during intense heat waves in Belgium. Data analysis using thermal simulations of the reference dwelling with and without active cooling was used to assess overheating risk
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Climate adaptivity of urban form: an evaluation by the case study of Medina of Fès J. Build. Perform. Simul. (IF 2.5) Pub Date : 2023-08-31 Alessandro Stracqualursi
The research investigates the potential of urban form in climate adaptation, by means of the case study of the Medina of Fès (Morocco), to provide relevant benefits for outdoor thermal comfort. The current challenge of SDG 11 reminds us – through Targets 11.4, 11.5 and 11.b – the importance to intervene carefully in ancient cities, protecting cultural heritage and exploiting their adaptive potential
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AixLib: an open-source Modelica library for compound building energy systems from component to district level with automated quality management J. Build. Perform. Simul. (IF 2.5) Pub Date : 2023-08-30 Laura Maier, David Jansen, Fabian Wüllhorst, Martin Kremer, Alexander Kümpel, Tobias Blacha, Dirk Müller
Open-source modelling libraries facilitate the standardization and harmonization of model development. In the context of building energy systems, Modelica is a suitable modelling language as it is ...
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Integrated control of radiant floor heating systems in residential buildings J. Build. Perform. Simul. (IF 2.5) Pub Date : 2023-08-28 Seongkwon Cho, Jin-Hong Kim, Cheol Soo Park
The ‘ideal’ optimal control of a radiant floor heating system (RFHS) can be achieved when a central controller is fully aware of the interrelationship between the different thermal dynamics of a bo...
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Quality assurance for building-stock energy models: a performance comparison of eleven uncertainty and sensitivity analysis methods J. Build. Perform. Simul. (IF 2.5) Pub Date : 2023-08-25 M. Y. C. Van Hove, M. Delghust, J. Laverge
Building-Stock Energy Models (BSEMs) have grown in popularity, implementation, scale and complexity. Yet, BSEM quality assurance processes have lagged behind. This article proposes a scalable metho...
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An ensemble-based faults detection and diagnosis approach for determining faults severities at whole-building level J. Build. Perform. Simul. (IF 2.5) Pub Date : 2023-08-23 Ashraf Alghanmi, Akilu Yunusa-Kaltungo
Data-driven fault detection and diagnosis (FDD) approaches rely on operational data even when in-depth knowledge of the studied system is lacking. Simulated data is affordable and can cover numerou...
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A comprehensive model considering multiple types of occupant behavior for building energy performance prediction and simulation – taking a university campus as an example J. Build. Perform. Simul. (IF 2.5) Pub Date : 2023-08-22 Yan Ding, Wanyue Chen, Zhiyao Wang, Shian Maun Nicole Kueh, Shen Wei, Fan Yang
Occupant behavior, encompassing occupant numbers and actions, significantly contributes to the uncertainty of building energy performance simulation. By characterizing the regularity of occupant be...
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Household energy and comfort impacts under teleworking scenarios via a zoned residential HVAC system J. Build. Perform. Simul. (IF 2.5) Pub Date : 2023-08-16 Melina Sirati, William O'Brien, Cynthia A. Cruickshank
Teleworking is a prevalent example of partial building occupancy and prevents homeowners from using a setback or set up temperature setpoint to save energy. Due to a lack of certainty on how telewo...
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Calibrating lighting simulation with panoramic high dynamic range imaging J. Build. Perform. Simul. (IF 2.5) Pub Date : 2023-08-07 Siqi He, Hankun Li, Yonghong Yan, Hongyi Cai
Fast and accurate field measurement with high resolution considering the light reaching human eyes can help calibrate and validate lighting simulation. This study established a workflow of lighting...
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Online model-based predictive control with smart thermostats: application to an experimental house in Québec J. Build. Perform. Simul. (IF 2.5) Pub Date : 2023-08-03 Charalampos Vallianos, Matin Abtahi, Andreas Athienitis, Benoit Delcroix, Luis Rueda
This paper tests the impact of model resolution and structure on the performance of Model Predictive Control (MPC) implementation in an unoccupied research house in Québec equipped with smart therm...
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Assessment of infection probability indices for airborne diseases in confined spaces: combination of CFD and analytical modelling J. Build. Perform. Simul. (IF 2.5) Pub Date : 2023-07-14 Marzio Piller, Gabriele Bulian, Carlo Antonio Stival
The paper presents a framework for probabilistic assessment of likelihood of infection from airborne diseases in confined spaces which are continuously occupied for relatively long periods (e.g., s...
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Importance of measuring the temperature of paved surfaces to study the changes in the microclimate of an urban area J. Build. Perform. Simul. (IF 2.5) Pub Date : 2023-07-10 Ankit Kumar, Jyoti Ranjan Mishra, Suresh Pandian Elumalai
The outdoor thermal comfort of an urban area gets affected by different aspects, such as the urban materials and urban morphology (building-canopy & trees-canopy). This paper aims to investigate th...
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Monitoring and simulation-based optimization of two multi-apartment NZEBs with heat pump, solar thermal and PV J. Build. Perform. Simul. (IF 2.5) Pub Date : 2023-06-27 F. Ochs, N. Franzoi, G. Dermentzis, W. Monteleone, M. Magni
For achieving carbon neutrality, new buildings must be built according to very high-performance standards, such that their energy needs can be covered predominantly by onsite renewables. Although t...
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SIREN – smart ventilation for infection risk mitigation and HVAC energy efficiency: a case study amid the COVID-19 pandemic J. Build. Perform. Simul. (IF 2.5) Pub Date : 2023-05-05 Zhihong Pang, Xing Lu, Pingfan Hu, Zheng O’Neill, Qingsheng Wang
The COVID-19 pandemic has underscored the need for effective ventilation control in public buildings. This study develops and evaluates a smart ventilation control algorithm (SIREN) that dynamicall...
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Coupled mass and heat transfer modelling in building envelopes to consistently assess human exposure and energy performance in indoor environments J. Build. Perform. Simul. (IF 2.5) Pub Date : 2023-04-29 Alice Maury-Micolier, Lei Huang, Olivier Jolliet
We develop a numerical model coupling heat and chemical transfers in the building envelope to predict human exposure to pollutants and heating load as affected by changes in temperature and buildin...
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Uncertainty and sensitivity analysis of building-stock energy models: sampling procedure, stock size and Sobol’ convergence J. Build. Perform. Simul. (IF 2.5) Pub Date : 2023-04-24 M. Y. C. Van Hove, M. Delghust, J. Laverge
Despite broad recognition of the need for applying Uncertainty (UA) and Sensitivity Analysis (SA) to Building-Stock Energy Models (BSEMs), limited research has been done. This article proposes a sc...
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Wax actuator’s empirical model development and application to underfloor heating control with varying complexity of controller modelling detail J. Build. Perform. Simul. (IF 2.5) Pub Date : 2023-04-21 Tuule Mall Parts, Andrea Ferrantelli, Hendrik Naar, Martin Thalfeldt, Jarek Kurnitski
This paper investigates how a simulated room’s energy and temperature performance are affected if its underfloor heating control is modelled with increasing detail. Experiments were performed to de...
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Development and performance evaluation of a minimum input model calibration methodology for residential buildings J. Build. Perform. Simul. (IF 2.5) Pub Date : 2023-04-12 A. Carratt, G. Kokogiannakis, D. Daly
Energy simulations of existing dwellings are often impeded by the complexity of assigning appropriate model inputs. While data-driven calibration is an effective method to reduce variance between m...
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Bilinear observer-based robust adaptive fault estimation for multizone building VAV terminal units J. Build. Perform. Simul. (IF 2.5) Pub Date : 2023-04-05 Mona Subramaniam A., Tushar Jain, Joseph J. Yamé
In this paper, we propose a novel bilinear observer-based robust fault detection, isolation and adaptive fault estimation methodology to precisely estimate a class of actuator faults, namely bias i...
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Discussing the needs of high resolution data: their impact in evaluating solar potential considering the horizon height J. Build. Perform. Simul. (IF 2.5) Pub Date : 2023-03-31 Luigi Bottecchia, Mattia Dallapiccola, Lukas Kranzl, Pietro Zambelli
The need for high-resolution data is exponentially growing in the current energy transition. In this sense, geographic information system tools are crucial for a more precise evaluation of solar en...
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Aerosol transmission in queuing and dining scenarios in canteens and the effectiveness of control measures J. Build. Perform. Simul. (IF 2.5) Pub Date : 2023-03-27 Jinjun Ye, Zhengtao Ai, Yufan Chang
This study investigates the aerosol transmission in queuing and dining scenarios in canteens and explores the effectiveness of control measures. An improved Wells-Riley equation is adopted to calcu...
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An open-source framework for simulation-based testing of buildings control strategies J. Build. Perform. Simul. (IF 2.5) Pub Date : 2023-03-22 Sen Huang, Robert Lutes, Cary A. Faulkner, Draguna L. Vrabie, Srinivas Katipamula, Wangda Zuo
This paper presents a simulation framework for evaluating building control strategies (BCSs), developed with VOLTTRON, an opensource platform that integrates data, devices, and systems for sensing ...
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A hybrid multiple sensor fault detection, diagnosis and reconstruction algorithm for chiller plants J. Build. Perform. Simul. (IF 2.5) Pub Date : 2023-03-22 K. F. Fong, C. K. Lee, M. K. H. Leung, Y. J. Sun, Guangya Zhu, Seung Hyo Baek, X. J. Luo, Tim Ka Kui Lo, Hetty Sin Ying Leung
In a chiller plant, primary or critical sensors are used to control the system operation while secondary sensors are installed to monitor the performance/health of individual equipment. Current sensor fault detection and diagnosis (SFDD) approaches are not applicable to secondary sensors which usually are not involved in the system control. Consequently, a hybrid multiple sensor fault detection, diagnosis
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Experimental validation of a numerical model for a sand-based seasonal thermal energy storage J. Build. Perform. Simul. (IF 2.5) Pub Date : 2023-03-19 Rebecca I. Pinto, Ian Beausoleil-Morrison
A research facility with solar thermal collector system and a water-saturated, sand-based seasonal thermal energy storage (SSTES) is used to provide space heating and domestic hot water heating to ...
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The challenges of using live-streamed data in a predictive digital twin J. Build. Perform. Simul. (IF 2.5) Pub Date : 2023-03-15 Rebecca Ward, Ruchi Choudary, Melanie Jans Singh, Flora Roumpani, Tomas Lazauskas, May Yong, Nicholas Barlow, Markus Hauru
A key component of a digital twin is the monitored data, communicated from the physical system to the virtual representation, for visualization and simulation. Yet little attention has been paid to the practicalities of working with live-streamed data. Strategies are required for providing continuous access and storage, for processing data of indeterminate quality, and for ensuring long-term sustainability
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Linear regression based indoor daylight illuminance estimation with simple measurements for daylight-linked lighting control J. Build. Perform. Simul. (IF 2.5) Pub Date : 2023-03-09 Hyeong-Gon Jo, Seo-Hee Choi, Cheol Soo Park
Accurate prediction of indoor daylight illuminance is crucial for daylight-based lighting controls. However, determining the illuminance using physics-based simulation tools requires significant amounts of information, e.g. grid of sensors, sky model, 3D geometry of a target building and surroundings, etc. In this study, the authors suggest a daylight illuminance estimation method with minimal data
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Balcony design and surrounding constructions effects on natural ventilation performance and thermal comfort using CFD simulation: a case study J. Build. Perform. Simul. (IF 2.5) Pub Date : 2023-03-07 Nima Izadyar, Wendy Miller, Behzad Rismanchi, Veronica Garcia-Hansen, Soha Matour
Despite natural light, near-façade structures’ impact on Natural Ventilation (NV) performance, reducing cooling demand, is usually ignored by designers. This article aims to characterize interactions between balconies’ design features (i.e. depth, unit level, and wind incident) and near-façade buildings on single-sided NV performance in a case study, representing medium to high-rise apartments in dominant
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Experiments and simulations on the energy performance of semi-transparent photovoltaic roof-integrated skylight glazing J. Build. Perform. Simul. (IF 2.5) Pub Date : 2023-03-06 Hao Ding, Guoqing Yu, Lin Gu, Daina Luo
Photovoltaic (PV) cells integrated with building roof skylights not only generate electricity but also influence the thermal performance of the roof. In this paper, the thermal mathematical model of a semi-transparent photovoltaic insulating glass unit (STPV-IGU) integrated with the roof is established and validated by experiments. Case studies are conducted by using the roof-integrated STPV-IGU in
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Real-time predictive control of HVAC systems for factory building using lightweight data-driven model J. Build. Perform. Simul. (IF 2.5) Pub Date : 2023-03-01 Young Sub Kim, Cheol Soo Park
This paper presents a real-time implementation of model predictive control (MPC) for HVAC systems in an ice-cream factory building. The target building consists of two large open spaces served by two HVAC systems. We developed four artificial neural network (ANN) models that predict the thermal states of the supply air and indoor air of the two thermal zones and prove to be accurate enough (MBE = 2
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Based on ANN and many-objective optimization to improve the performance and economy of village houses in Chinese cold regions J. Build. Perform. Simul. (IF 2.5) Pub Date : 2023-02-28 Juanli Guo, Jian Zhou, Mingchen Li, Siao Lu
The number of studies considering building performance optimization (BPO) in the building design phase is steadily growing, but many of the existing studies do not consider the applicability of many-objective optimization algorithms when increasing the objective dimensions. This article first compares the NSGA-II, IDBEA, MSOPS-II, and NSGA-III algorithms. Then, the algorithm most suitable for many-objective
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Mitigating peak load and heat stress under heatwaves by optimizing adjustments of fan speed and thermostat setpoint J. Build. Perform. Simul. (IF 2.5) Pub Date : 2023-02-24 Zhujing Zhang, Kevin J. Kircher, Yuan Cai, Jonathon G. Brearley, David P. Birge, Leslie K. Norford
ABSTRACT Heatwaves are becoming more frequent and severe, intensifying cooling demand and reducing air conditioner efficiencies. This causes peaks in electricity demand that pose operational challenges to power grids. This paper provides methods to mitigate demand peaks and heat stress under heatwaves by jointly adjusting fan speeds and thermostat setpoints in buildings. The methods involve (1) learning
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Factors affecting air distribution in air conditioning air supply room based on SUPG finite element and zero equation J. Build. Perform. Simul. (IF 2.5) Pub Date : 2023-02-16 Zhen Miao, Zhendi Ma, Qiongxiang Kong, Yaolin Jiang
ABSTRACT To simulate the indoor air distribution accurately and quickly, this paper proposed a turbulence calculation model based on the zero-equation model and the SUPG finite element method. The optimal calculation parameters were investigated. The effects of air outlet positions, Reynolds numbers, and obstacle positions on indoor air distribution were studied. The results show that the ranges of
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Characterizing spatial variability in the temperature field to support thermal model validation in a naturally ventilated building J. Build. Perform. Simul. (IF 2.5) Pub Date : 2023-02-14 Chen Chen, Lup Wai Chew, Catherine Gorlé
ABSTRACT Night-time passive cooling is an energy-efficient cooling strategy, but the design of passive cooling systems relies on imperfect computational models, which require validation. This paper assesses the importance of spatial variability in the temperature field when performing model validation. Full-scale temperature measurements in a three story atrium building reveal spatial variability of
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Early design stage evaluation of architectural factors in fire emergency evacuation of the buildings using Pix2Pix and explainable XGBoost model J. Build. Perform. Simul. (IF 2.5) Pub Date : 2023-01-05 Hanieh Nourkojouri, Arman Nikkhah Dehnavi, Sheida Bahadori, Mohammad Tahsildoost
ABSTRACT As a critical factor in architectural design, emergency evacuation is influenced by numerous parameters. Designers utilize modelling software to evaluate their sketches after completion ofbasic design. However, no various alternatives of early design stages could be assessed via simulations, since it is a time-consuming procedure. In this study, deep-learning algorithms have been adapted for
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Experimental and numerical analysis of CO2 transport inside a university classroom: effects of turbulent models J. Build. Perform. Simul. (IF 2.5) Pub Date : 2023-01-04 Andrea Carlo D’Alicandro, Alessandro Mauro
ABSTRACT Carbon dioxide (CO2) can reduce cognitive abilities at higher concentrations. CO2 can be used as a proxy for gas transport in an indoor environment and as an index to determine Indoor Air Quality (IAQ). In the present work, CO2 transport inside a real university classroom has been analysed experimentally and numerically. The main novelty is related to the experimental characterization of the
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Probabilistic modelling of occupants’ thermostat preferences for residential building energy simulation and rating J. Build. Perform. Simul. (IF 2.5) Pub Date : 2022-11-21 Dilini Wickrama Achchige, Dong Chen, Georgios Kokogiannakis, Massimo Fiorentini
ABSTRACT Fixed thermostat setpoints and schedules are commonly used in residential building energy simulation and rating. While this approach is simple to implement, it does not represent occupants with varying preferences. In this study, based on field data from 102 households in three Australian cities, two alternative thermostat setting approaches were investigated. The first method (Probability
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Uncertainty quantification and sensitivity analysis of energy consumption in substation buildings at the planning stage J. Build. Perform. Simul. (IF 2.5) Pub Date : 2022-11-18 Juanli Guo, Zhoupeng Wang, Mingchen Li, Yongyun Jin
ABSTRACT This study is the first to conduct a global sensitivity analysis to identify the crucial variables that have an impact on the energy consumption of substations. The peak cooling and heating energy consumption, as well as the annual cooling and heating energy consumption of a substation in Shandong, are all simulated basing the Monte Carlo method. The simulation outputs are discussed by uncertainty
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Performance assessment of RBFMOpt, NSGA2, and MHACO on the thermal and energy optimization of an office building J. Build. Perform. Simul. (IF 2.5) Pub Date : 2022-11-14 Mario Alves da Silva, Rafael de Paula Garcia, Joyce Correna Carlo
Simulation-based Optimization processes (SBO) can be valuable methods in searching for efficient buildings. This study evaluates the performance of the multi-objective algorithms RBFMOpt, NSGA2, and MHACO facing the same SBO problem. The goal is to maximize thermal comfort while minimizing the energy consumption with HVAC systems for a typical Brazilian office building. We proposed a scoring method
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A data schema for exchanging information between urban building energy models and urban microclimate models in coupled simulations J. Build. Perform. Simul. (IF 2.5) Pub Date : 2022-11-09 Na Luo, Xuan Luo, Mohammad Mortezazadeh, Maher Albettar, Wanni Zhang, Dongxue Zhan, Liangzhu (Leon) Wang, Tianzhen Hong
Understanding and quantifying the interactions between urban microclimate and urban buildings is essential to improve the urban environment and building performance, especially during heatwaves. Most previous studies used tool or application specific data exchange mechanisms that cannot be generalized for other tools or applications. In this paper, we introduce a new flexible and tool-agnostic data
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A novel approach to account for shape-morphing and kinetic shading systems in building energy performance simulations J. Build. Perform. Simul. (IF 2.5) Pub Date : 2022-11-07 Francesco Carlucci, Roel C.G.M. Loonen, Francesco Fiorito, Jan L.M. Hensen
This paper proposes an innovative approach to analyse the energy behaviour of complex kinetic shading systems. Although several studies have analysed this topic, many are focused only on certain aspects or on simple shading systems due to a lack of tools for running reliable energy simulations on complex systems. This study aims to develop and validate a tool based on Python and EnergyPlus that can
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Improved calibration of building models using approximate Bayesian calibration and neural networks J. Build. Perform. Simul. (IF 2.5) Pub Date : 2022-10-29 Kevin Cant, Ralph Evins
Deep energy retrofits of buildings are crucial to meeting climate targets and depend on calibrated energy models for investor confidence. Bayesian inference can improve the rigour in standard practice and improve confidence in calibrated energy models. Approximate Bayesian computation (ABC) methods using neural networks present an opportunity to calibrate energy models while inherently accounting for
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Optimizing the design of courtyard houses for passive cooling in hot, dry regions J. Build. Perform. Simul. (IF 2.5) Pub Date : 2022-10-28 Hayder M. Khan, Gregory F. Lane-Serff, Jonathan Dewsbury
The courtyard is an architectural element found in hot arid regions due to its thermal performance that gives it cooler temperatures than the outside resulting from shading and night cooling. Previous papers focus only on either shading or ventilation and never together. This paper employs CFD techniques to simulate heat transfer in the courtyard. The results are presented through time constants showing