Energy and Buildings最新文献

A model-based continuous commissioning method for an efficient integration of ground source heat pumps in the building ecosystem

IF 6.6 2区工程技术

Energy and Buildings Pub Date : 2025-02-18 DOI: 10.1016/j.enbuild.2025.115492

Giulio Tonellato , Michaël Kummert , José Candanedo , Gabrielle Beaudry , Philippe Pasquier

{"title":"A model-based continuous commissioning method for an efficient integration of ground source heat pumps in the building ecosystem","authors":"Giulio Tonellato , Michaël Kummert , José Candanedo , Gabrielle Beaudry , Philippe Pasquier","doi":"10.1016/j.enbuild.2025.115492","DOIUrl":"10.1016/j.enbuild.2025.115492","url":null,"abstract":"<div><div>This paper introduces a model-based continuous commissioning (MBCCx) methodology specifically designed for the identification of control-related performance gaps within heating, ventilation and air conditioning (HVAC) systems equipped with ground-source heat pumps (GSHPs). While conventional continuous commissioning (CCx) is effective in detecting energy performance gaps, MBCCx goes further by using a system model as a reference to pinpoint operational inefficiencies and control faults arising from subsystem integration. The core of the proposed methodology lies in a calibrated physics-based model that represents the system performance as intended during the design phase. A key advantage is its applicability early in a building’s operational phase, when data is limited, unlike data-driven methods that rely on extensive historical datasets. This enables the identification of energy-saving opportunities before the system reaches a stable operational state. To address the limitations of prior studies that often focus solely on individual GSHP component performance, this work pioneers the application of MBCCx to whole buildings equipped with GSHPs. The proposed approach employs a detailed 3D building model and component-level HVAC modeling to predict parameters such as room temperatures, heat pump power, and ground heat exchanger temperatures under normal conditions. Significant deviations between monitored values and model predictions serve as indicators of underperforming components or control sequence anomalies. The anomaly detection accuracy is then improved by merging HVAC system and GSHP performance indicators. The methodology is demonstrated through a case study of a recently retrofitted elementary school in Québec, Canada, equipped with five standing column wells as ground heat exchangers.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"333 ","pages":"Article 115492"},"PeriodicalIF":6.6,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143444913","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The differences in thermal physiological parameters, thermal comfort, and thermal acceptability under the same thermal sensation in air-conditioned environments between winter and summer

IF 6.6 2区工程技术

Energy and Buildings Pub Date : 2025-02-17 DOI: 10.1016/j.enbuild.2025.115486

Weiwei Liu , Shan Li , Diyu Yang , Jun Xu , Liangliang Sun , Weibin Lin

{"title":"The differences in thermal physiological parameters, thermal comfort, and thermal acceptability under the same thermal sensation in air-conditioned environments between winter and summer","authors":"Weiwei Liu , Shan Li , Diyu Yang , Jun Xu , Liangliang Sun , Weibin Lin","doi":"10.1016/j.enbuild.2025.115486","DOIUrl":"10.1016/j.enbuild.2025.115486","url":null,"abstract":"<div><div>Seasonal differences are an important factor affecting thermal comfort needs. However, relevant research is limited. In this study, thermal comfort experiments simulating air-conditioning environments were implemented in winter and summer. The experimental temperatures in winter and summer were 12, 15, 18, 21, 24 °C and 24, 26, 28, 30, 32 °C, respectively. Thermal physiological parameters were measured, and the thermal comfort subjective feeling questionnaire was evaluated on 40 healthy college student subjects during an exposure time of 140 min. Analysis of these measurements revealed significant seasonal differences in skin temperature, thermal comfort, and thermal acceptability for the same thermal sensation. On the one hand, both local and mean skin temperatures under the same thermal sensation were higher in summer than in winter (p < 0.05). On the other hand, there was a scissor difference in the change curves of thermal comfort and thermal acceptability voting with thermal sensation in winter and summer. Compared with the PPD curve, the unacceptable percentage curve shifted to the cooler side in summer and to the warmer side in winter. The results of this study provide a theoretical basis for the accurate creation of thermal comfort in the built environment from the perspective of seasonal differences.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"333 ","pages":"Article 115486"},"PeriodicalIF":6.6,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143444914","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A study of occupant performance under varying indoor thermal conditions during summer in India

IF 6.6 2区工程技术

Energy and Buildings Pub Date : 2025-02-16 DOI: 10.1016/j.enbuild.2025.115480

Virendra Sharma , Raj Gupta , Jyotirmay Mathur , Sanjay Mathur

{"title":"A study of occupant performance under varying indoor thermal conditions during summer in India","authors":"Virendra Sharma , Raj Gupta , Jyotirmay Mathur , Sanjay Mathur","doi":"10.1016/j.enbuild.2025.115480","DOIUrl":"10.1016/j.enbuild.2025.115480","url":null,"abstract":"<div><div>Occupant thermal responses vary significantly across different climatic regions, even under similar indoor thermal conditions, due to climate-specific thermal adaptations. These climate-specific adaptations can lead to discrepancies in performance outcomes. Therefore, climate-specific performance evaluation in varying thermal conditions is crucial, particularly in India, where the thermal adaptation range is higher due to adaptation towards higher outdoor summer temperatures. In the present study, forty-eight students were subjected to four air temperatures (24 °C, 27 °C, 30 °C, and 33 °C), each paired with three distinct air velocities (0.2 m/s, 0.7 m/s, and 1.2 m/s), in the fan-assisted cooling laboratory. A subjective questionnaire assessed thermal comfort, emotion, and well-being, whereas neurobehavioural tests were used to quantify the performance. The result illustrates that higher air velocity can maintain thermal comfort up to 30 °C. Four out of twelve thermal conditions (24 °C with 0.2 m/s, 27 °C with 0.7 m/s, 27 °C with 1.2 m/s and 30 °C with 1.2 m/s air velocity) drew a ‘slightly cool to neutral’ thermal sensation, which is in acceptable thermal comfort band. In this band, the maximum number of subjects reported satisfactory well-being, maximum positive emotion, and minimum negative emotion. No appreciable change in cognitive performance was observed in this band, indicating that increasing air temperature and velocity did not affect cognitive performance as long as thermal comfort was maintained. These results can help delineate temperature setpoint policies for Indian summers without affecting performance.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"333 ","pages":"Article 115480"},"PeriodicalIF":6.6,"publicationDate":"2025-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143427835","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Students’ thermal and indoor air quality perception in secondary schools in a Mediterranean climate

IF 6.6 2区工程技术

Energy and Buildings Pub Date : 2025-02-16 DOI: 10.1016/j.enbuild.2025.115479

Alicia Alonso , Rafael Suárez , Jesús Llanos-Jiménez , Carmen M. Muñoz-González

{"title":"Students’ thermal and indoor air quality perception in secondary schools in a Mediterranean climate","authors":"Alicia Alonso , Rafael Suárez , Jesús Llanos-Jiménez , Carmen M. Muñoz-González","doi":"10.1016/j.enbuild.2025.115479","DOIUrl":"10.1016/j.enbuild.2025.115479","url":null,"abstract":"<div><div>In the wake of the COVID-19 pandemic, the importance of achieving adequate indoor air quality (IAQ) and addressing its impact on hygrothermal conditions has become paramount. Environmental quality in classrooms significantly influences students’ health, well-being, and academic performance. Natural ventilation faces challenges related to efficiency and thermal comfort, even the development of recent standards focuses on the continuous measurement of CO<sub>2</sub> to enhance health and well-being. This study addresses a research gap by simultaneously addressing both thermal comfort (TC) and IAQ analyses, focusing on students’ perceptions across seasons in secondary schools within the Mediterranean climate of southern Spain. A field study conducted between 2022 and 2023 involved long-term monitoring and 1,056 surveys from students aged 12–18 in 54 classrooms across seven schools. Data were collected during heating and non-heating periods in naturally ventilated spaces, analysing subjective perceptions and their relationship with objective parameters. Results show that high temperatures strongly influence thermal and air quality perceptions, while CO<sub>2</sub> levels have minimal impact on Air Sensation Voting (ASV), even at concentrations exceeding 1,400 ppm. During non-heating seasons, 60 % of students reported thermal comfort at temperatures between 23-27 °C, while discomfort increased to 38 % at temperatures below 19 °C during heating seasons. Neutral temperatures derived from subjective impressions reveal significant seasonal variations. Predicted Mean Vote (PMV) underestimated actual sensations, particularly during cold seasons in warm climates. These findings highlight the impact of outdoor temperatures on students’ perceptions and offer insights for refining comfort models and adapting ventilation strategies to improve learning environments in schools.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"333 ","pages":"Article 115479"},"PeriodicalIF":6.6,"publicationDate":"2025-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143427837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Frost resilient energy recovery ventilation system for dwellings in Canada’s North and Arctic: A comparative study between a regenerative dual core and conventional single core systems

IF 6.6 2区工程技术

Energy and Buildings Pub Date : 2025-02-15 DOI: 10.1016/j.enbuild.2025.115477

Boualem Ouazia, Chantal Arsenault, Patrique Tardif, Sador Brhane, Daniel Lefebvre, Sandra Mancini

{"title":"Frost resilient energy recovery ventilation system for dwellings in Canada’s North and Arctic: A comparative study between a regenerative dual core and conventional single core systems","authors":"Boualem Ouazia, Chantal Arsenault, Patrique Tardif, Sador Brhane, Daniel Lefebvre, Sandra Mancini","doi":"10.1016/j.enbuild.2025.115477","DOIUrl":"10.1016/j.enbuild.2025.115477","url":null,"abstract":"<div><div>In the Canadian Northern climate, the winter outdoor temperatures may fall below −40 °C. With an average indoor temperature of 20 °C, a 60 °C increase in temperature applied to the incoming outdoor air represents a significant heating load. One problem faced by exhaust air heat/energy recovery systems in winter is the build-up of frost on the heat exchanger surfaces. The accumulation of frost in the core slows the transfer of heat/energy between the two airstreams and can impede ventilation and the ineffectiveness of HRVs/ERVs can lead to even poorer IAQ. This paper presents a novel air-to-air regenerative energy recovery ventilation system that employs a cycling heat exchanger as a defrost strategy to ensure a continuous delivery of outdoor air to the house. The dual core ERV system was assessed in real-world environment through a field trial, using the Canadian Centre of Housing technology (CCHT) twin houses. The side-by-side evaluation compared the winter performance of a dual core regenerative ERV and conventional single core ERV in term of ventilation rate, thermal performance that includes sensible and total heat transfer effectiveness and temperature of air supplied to the house. The obtained results showed no sign of frost problems and the dual core ERV provided continuous delivery of outdoor air without stopping to defrost, unlike the conventional single core ERV which spent up to 7.5 h per day defrosting. The <em>Test House</em> with the dual core ERV had higher ventilation rate by 23 % than the Reference Housee with single core ERV, was capable of providing air at the supply outlet at up to 3 °C higher temperature than the air supplied by a single core ERV, and had lower whole house energy consumption by ∼ 5 %.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"333 ","pages":"Article 115477"},"PeriodicalIF":6.6,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143427836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dynamic life cycle environmental impact assessment for urban built environment based on BIM and GIS

IF 6.6 2区工程技术

Energy and Buildings Pub Date : 2025-02-14 DOI: 10.1016/j.enbuild.2025.115445

Luqi Wang, Zhiming Wu, Wenjie Zhang, Xiaoxia Wang, Weimin Feng

{"title":"Dynamic life cycle environmental impact assessment for urban built environment based on BIM and GIS","authors":"Luqi Wang, Zhiming Wu, Wenjie Zhang, Xiaoxia Wang, Weimin Feng","doi":"10.1016/j.enbuild.2025.115445","DOIUrl":"10.1016/j.enbuild.2025.115445","url":null,"abstract":"<div><div>Cities play a key role in mitigating climate change and promoting sustainable development. Dynamic Life Cycle Assessment (DLCA) has garnered increasing attention, but existing studies often focus on either temporal or spatial factors and overlook their integration. This study proposes an innovative DLCA model that integrates Building Information Modeling (BIM) and Geographic Information System (GIS) to assess the environmental impacts of urban built environments in both spatial and temporal dimensions. The model is structured around five key components: goal and scope definition, dynamic elementary flows, dynamic inventory analysis, environmental impact assessment, and interpretation. BIM provides detailed building-level data, while GIS integrates spatial and temporal data for regional analysis. A campus case study demonstrates the model’s applicability, showing that the BIM-GIS DLCA model results in 7.27% higher recycling rates, an 18.66% variation in energy structure assessments, a 2.72% difference in energy consumption, a 0.53% adjustment in green space carbon sequestration, and a −0.49% change in vehicle fuel economy/type and component lifespan compared to static assessments. These differences highlight how dynamic data integration enhances the comprehensiveness of environmental assessments and provides valuable insights for sustainable urban development.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"333 ","pages":"Article 115445"},"PeriodicalIF":6.6,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143437685","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analyzing and predicting residential electricity consumption using smart meter data: A copula-based approach

IF 6.6 2区工程技术

Energy and Buildings Pub Date : 2025-02-13 DOI: 10.1016/j.enbuild.2025.115432

Waleed Softah , Laleh Tafakori , Hui Song

{"title":"Analyzing and predicting residential electricity consumption using smart meter data: A copula-based approach","authors":"Waleed Softah , Laleh Tafakori , Hui Song","doi":"10.1016/j.enbuild.2025.115432","DOIUrl":"10.1016/j.enbuild.2025.115432","url":null,"abstract":"<div><div>Accurate demand prediction is essential for smart grid applications, and its precision can be significantly improved by accounting for individual consumption patterns in smart meter data. As nations and corporations increasingly strive for environmental sustainability, integrating clustering methodologies with forecasting models enables the identification of consumption trends and enhances predictive accuracy. Unlike existing prediction methods focusing on point estimates, we propose a novel clustering-based D-Vine Copula Quantile Regression (DVQR) framework for smart meter demand forecasting, which can capture the distribution of consumption behaviors about external factors such as weather conditions and time of day. The K-means are used to group the residential energy data into different groups. By integrating segmentation techniques with predictive models, DVQR leverages clustering to uncover complex and latent patterns in the data. Furthermore, DVQR extends beyond traditional forecasting by using quantile regression to capture variability, heteroscedasticity, and dependencies in consumption patterns, providing more comprehensive insights into the drivers of electricity demand. Our proposed approach is validated on the Melbourne household's dataset and compared with six models to demonstrate its superior performance. The results show that DVQR offers more accurate and flexible quantile predictions, especially when capturing consumption variability under different conditions.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"332 ","pages":"Article 115432"},"PeriodicalIF":6.6,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143421560","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Lifetime financial analysis of a model predictive control retrofit for integrated PV-battery systems in commercial buildings

IF 6.6 2区工程技术

Energy and Buildings Pub Date : 2025-02-13 DOI: 10.1016/j.enbuild.2025.115459

Max Bird , Reewa Andraos , Salvador Acha , Nilay Shah

{"title":"Lifetime financial analysis of a model predictive control retrofit for integrated PV-battery systems in commercial buildings","authors":"Max Bird , Reewa Andraos , Salvador Acha , Nilay Shah","doi":"10.1016/j.enbuild.2025.115459","DOIUrl":"10.1016/j.enbuild.2025.115459","url":null,"abstract":"<div><div>As electrical grids decarbonise, the need for flexible, real-time energy management systems becomes crucial to handle the variability of renewable sources. This paper investigates the lifetime performance of a commercial PV-battery system under three potential control approaches. Two rule-based controllers and one economic MPC approach are simulated over the lifetime of the battery, considering both the upfront capital and ongoing operational costs. Under the nominal rule-based control, installing the battery system saves 2.9% in operational costs per year. An informed rule-based schedule was then created, based on observing the typical PV and building loads and electricity price dynamics, increasing savings to 4.3%. These additional savings can be realised without any additional capital or operational investment. A supervisory MPC approach is integrated with the existing system control, requiring an upfront investment of $13.7k, combined with additional operational costs of $5.89k/yr. Accounting for these additional costs, net operational savings increase to 6% compared to the baseline operation without a battery system, while also reducing carbon emissions by 9.8%. MPC savings increase to 13.2% when considering the volatile electricity prices seen during the 2022 energy crisis. Despite these encouraging savings, current battery systems remain financially unattractive due to their high upfront cost, and all three control scenarios result in a negative NPV. A sensitivity analysis demonstrates that optimal sizing of batteries and reductions in their cost are the most significant factors when evaluating the lifetime performance of PV-battery systems.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"332 ","pages":"Article 115459"},"PeriodicalIF":6.6,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143421720","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Day-ahead demand response potential prediction in residential buildings with HITSKAN: A fusion of Kolmogorov-Arnold networks and N-HiTS

IF 6.6 2区工程技术

Energy and Buildings Pub Date : 2025-02-13 DOI: 10.1016/j.enbuild.2025.115455

Ali Muqtadir , Bin Li , Zhou Ying , Chen Songsong , Sadia Nishat Kazmi

{"title":"Day-ahead demand response potential prediction in residential buildings with HITSKAN: A fusion of Kolmogorov-Arnold networks and N-HiTS","authors":"Ali Muqtadir , Bin Li , Zhou Ying , Chen Songsong , Sadia Nishat Kazmi","doi":"10.1016/j.enbuild.2025.115455","DOIUrl":"10.1016/j.enbuild.2025.115455","url":null,"abstract":"<div><div>Accurate forecasting of Demand Response (DR) is vital for optimizing resource allocation in power systems, especially in markets where Load Aggregators (LAs) bid based on predicted DR potential. Traditional models struggle to capture the nonlinear dependencies of consumer behavior and the temporal patterns in energy consumption. This study aims to overcome these limitations by introducing HITSKAN, a hybrid approach which is a fusion of Kolmogorov-Arnold Networks (KANs) and Neural Hierarchical Interpolation (N-HiTS) to improve day-ahead DR potential forecasting. HITSKAN is able to solve the challenges faced by LAs by integrating the ability of KANs to model complex multivariate functions for nonlinearity together with the strength of N-HiTS in handling temporal dependencies. The methodology employs real-world residential load data from 114 apartments to capture historical demand response potential through thermal response modeling, which does not require appliance-level data and then applies the HITSKAN forecasting model to predict day-ahead DR potential. The performance of model is evaluated on all key metrics which include Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), Root Mean Square Error (RMSE) and systematic Mean Absolute Percentage Error (sMAPE) along with variance, standard deviation and computation time. Results demonstrate that HITSKAN outperforms state-of-the-art forecasting models in both winter and summer seasons. By incorporating KANs into a time series forecasting framework, HITSKAN offers a scalable and effective solution for DR potential forecasting, significantly enhancing grid management and resource optimization in residential settings.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"332 ","pages":"Article 115455"},"PeriodicalIF":6.6,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143421954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi-model real-time energy consumption anomaly detection for office buildings based on circuit classification

IF 6.6 2区工程技术

Energy and Buildings Pub Date : 2025-02-13 DOI: 10.1016/j.enbuild.2025.115406

Kuixing Liu, Jiale Tang, Lixin Xue

{"title":"Multi-model real-time energy consumption anomaly detection for office buildings based on circuit classification","authors":"Kuixing Liu, Jiale Tang, Lixin Xue","doi":"10.1016/j.enbuild.2025.115406","DOIUrl":"10.1016/j.enbuild.2025.115406","url":null,"abstract":"<div><div>With the widespread adoption of office building electricity consumption monitoring platforms, ample data are available for diagnosing energy anomalies, increasing interest in data-driven approaches. However, whole-building energy evaluation often fails to identify anomalies in specific sub-circuits. Additionally, the complexity of building energy systems has led research to focus mainly on data-driven methods, with limited exploration of individual sub-circuit characteristics. To address these issues, this study proposes a classification procedure based on physical attributes and data features of office building power circuits, categorizing energy-consumption circuits into four types. Subsequently, a multi-model real-time diagnostic framework was developed, which utilizes anomaly detection models tailored to specific circuits for precise identification of anomalies. The framework was experimentally validated using real-world data from a commercial office building in Haidian District, Beijing. The results demonstrated that the proposed method effectively performed hourly monitoring of energy consumption in lighting, chiller, and cooling tower circuits, and successfully identified multiple time periods during which energy consumption deviated from the normal range due to improper operations by facility management personnel. These findings highlight the benefit of integrating sub-metering with data mining, providing building operators with a novel approach to swiftly detect circuit-level abnormalities and optimize energy management strategies.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"332 ","pages":"Article 115406"},"PeriodicalIF":6.6,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143421618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0