Energy and Buildings最新文献_第8页

A Comprehensive Review of Life Cycle Assessments for Domestic Heat Pumps: Environmental Footprint and Future Directions

IF 6.6 2区工程技术

Energy and Buildings Pub Date : 2025-03-12 DOI: 10.1016/j.enbuild.2025.115605

Mona Aridi, Marie-Lise Pannier, Rima Aridi, Thierry Lemenand

{"title":"A Comprehensive Review of Life Cycle Assessments for Domestic Heat Pumps: Environmental Footprint and Future Directions","authors":"Mona Aridi, Marie-Lise Pannier, Rima Aridi, Thierry Lemenand","doi":"10.1016/j.enbuild.2025.115605","DOIUrl":"10.1016/j.enbuild.2025.115605","url":null,"abstract":"<div><div>With the growing need for economical and energy-efficient space heating solutions in residential buildings, heat pumps have emerged as a promising alternative for domestic heating systems. Heat pumps are a key piece of equipment in the global shift to a safe and sustainable heating technology. This review presents a thorough analysis and synthesis of Life Cycle Assessment (LCA) on domestic heat pumps and commences with the basic ideas behind heat pump technology as well as the need for LCAs in determining the technology’s environmental impact This review systematically addresses several aspects, it (i) examines the existing literature on LCAs conducted for domestic heat pumps, aiming to assess their environmental effect across their life cycle stages; (ii) discusses the key environmental indicators and parameters commonly assessed in LCAs for domestic heat pumps; (iii) states the challenges, limitations, and restrictions in conducting LCAs for these systems. Due to the missing data and inconsistency of relevant parameters such as functional units, refrigerants, electricity mix, and others, this investigation highlights the necessity for standardized methodologies and data quality refinements, which should account for electricity mix variability, refrigerant leakage, and relevant performance metrics. Conducting a comprehensive review of LCA studies over the last two decades offers this study a novelty in identifying inconsistencies in key assessment criteria and proposes a structured approach to standardizing LCA methodologies for heat pumps. This offers recommendations for future research directions to support the development of sustainable heating technologies in residential structures. In conclusion, the LCA conducted on heat pumps reveals valuable insights into their environmental impact across various stages. Moreover, the findings of this LCA contribute to the broader discussion on eco-friendly and energy-efficient residential heating solutions.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"336 ","pages":"Article 115605"},"PeriodicalIF":6.6,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143637294","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

Challenges of the transition to high-performance passive cool envelopes: A systematic literature review

IF 6.6 2区工程技术

Energy and Buildings Pub Date : 2025-03-12 DOI: 10.1016/j.enbuild.2025.115557

A. Fathalizadeh , E. Sharifi , C. Bartesaghi-Koc

{"title":"Challenges of the transition to high-performance passive cool envelopes: A systematic literature review","authors":"A. Fathalizadeh , E. Sharifi , C. Bartesaghi-Koc","doi":"10.1016/j.enbuild.2025.115557","DOIUrl":"10.1016/j.enbuild.2025.115557","url":null,"abstract":"<div><div>While the world is experiencing rapid global warming, it is crucial to keep indoor environments thermally comfortable for human occupants. Consequently, a cooling energy demand increase of 72% is anticipated by 2100. Building envelopes, accounting for nearly 50% of energy consumption and significantly impact buildings’ energy performance. This paper systematically reviews research on the challenges of adopting passive cooling solutions in building envelopes. Firstly, a context review of the sustainability indicators in buildings is outlined based on triple bottom line theory. Then, the high-performance envelopes and passive cooling solutions are explored further. Subsequently, 65 papers selected through a PRISMA screening approach have been critically reviewed, identifying the main research streams, challenges, and mitigating strategies. Finally, a comprehensive list of barriers to the adoption of passive cooling solutions has been developed and presented in four major aspects related to policy, knowledge, technical, and economics. The findings outline key gaps in the academic literature, namely (1) lack of robust industry-led research projects</div><div>(2) lack of practical frameworks for facilitating passive cooling in building envelope retrofitting practices</div><div>(3) lack of policy targeted indicators within the sustainability triple bottom line</div><div>and (4) lack of in-depth research on local codes alongside practical guidance for policymakers. Synthesising the existing literature on the challenges to the applications of passive cooling solutions, this paper highlights the need for more integrated evidence-based decision-making across all relevant sectors and serves as a key resource for academics and construction industry stakeholders to move towards high-performance building applications.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"336 ","pages":"Article 115557"},"PeriodicalIF":6.6,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143637295","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

New method of retrofitting of kindergartens resulting in increase of energy self-sufficiency

IF 6.6 2区工程技术

Energy and Buildings Pub Date : 2025-03-11 DOI: 10.1016/j.enbuild.2025.115595

Dorota Anna Krawczyk , Anna Werner-Juszczuk , Beata Sadowska , Piotr Rynkowski , Alicja Siuta-Olcha , Bożena Babiarz , Adam Święcicki , Robert Stachniewicz , Tomasz Cholewa , Lech Lichołai , Joanna Krasoń , Przemysław Miąsik , Martyna Bocian , Maciej Kłopotowski , Dorota Gawryluk

{"title":"New method of retrofitting of kindergartens resulting in increase of energy self-sufficiency","authors":"Dorota Anna Krawczyk , Anna Werner-Juszczuk , Beata Sadowska , Piotr Rynkowski , Alicja Siuta-Olcha , Bożena Babiarz , Adam Święcicki , Robert Stachniewicz , Tomasz Cholewa , Lech Lichołai , Joanna Krasoń , Przemysław Miąsik , Martyna Bocian , Maciej Kłopotowski , Dorota Gawryluk","doi":"10.1016/j.enbuild.2025.115595","DOIUrl":"10.1016/j.enbuild.2025.115595","url":null,"abstract":"<div><div>In recent years, a number of retrofittings have been carried out in terms of insulation and technical equipment of buildings. However, due to the introduction of the zero-emission obligation for buildings, it is necessary to search for new modernization opportunities that will reduce the use of non-renewable primary energy and increase energy self-sufficiency. This paper assesses the existing condition of two typical kindergartens located in north-eastern Poland, Bialystok. The thermal properties of buildings and heating systems and domestic hot water preparation were assessed through ex-post audits and in-situ measurements: U-value, indoor air quality (IAQ) and thermal imaging inspection. A novel method was developed for simplifying the estimation of the effect of renewable energy sources (RES) integration, based on actual building climatic and utility data. The method was used to analyze three variants of retrofitting of the heat and electricity sources taking into account air-to-water heat pump, photovoltaic installation and an electrical energy storage. The energy self-sufficiency of kindergartens with the thermal quality of the envelope meeting the requirements of the nearly zero-energy building (nZEB) in Poland may amount to 45% when use air heat pump cooperating with a PV system, an electricity storage and heat substation as the peak heat source. The proposed retrofitting of heat and electricity sources resulted in a reduction in the demand for non-renewable primary energy by 14% in kindergarten B and by 18% in kindergarten A compared to the pre-modernisation state.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"336 ","pages":"Article 115595"},"PeriodicalIF":6.6,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143628499","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

Non-destructive evaluation of thermal conductivity of wood and insulation materials using permittivity measurements with ground penetrating radar

IF 6.6 2区工程技术

Energy and Buildings Pub Date : 2025-03-11 DOI: 10.1016/j.enbuild.2025.115601

Jinxia Hu , Ryad Bouzouidja , Tingting Vogt Wu , Zoubir Mehdi Sbartaï

{"title":"Non-destructive evaluation of thermal conductivity of wood and insulation materials using permittivity measurements with ground penetrating radar","authors":"Jinxia Hu , Ryad Bouzouidja , Tingting Vogt Wu , Zoubir Mehdi Sbartaï","doi":"10.1016/j.enbuild.2025.115601","DOIUrl":"10.1016/j.enbuild.2025.115601","url":null,"abstract":"<div><div>The accuracy and effectiveness of heat transfer predictions in construction materials are important for energy performance evaluation and provide significant insights in building inspections. However, directly establishing the thermal conductivity of building walls is challenging and time-consuming, with existing methods being highly technical and restricted by conditions, especially at low wind velocities and large temperature differences. Therefore, in this study, the thermal conductivity is derived from relative permittivity measurements made using a nondestructive technique, and compared with direct measurements. The experiments were conducted on five types of wood and two types of insulation material using a ground-penetrating radar (GPR) system at a frequency of 2.6 GHz. The results showed a linear correlation between the dielectric properties and thermal conductivity in both dry and wet states, regardless of the wood species or types. This high-performance correlation suggests that thermal conductivity properties can be accurately estimated from permittivity measurements at high frequency, demonstrating the potential for estimating thermal conductivities of 0.05–0.3 W m<sup>−1</sup> K<sup>−1</sup> using GPR. The relationship between the moisture content and the dielectric and thermal properties of some types of wood was discussed, which simplified the measurement process, eliminated the need for direct thermal conductivity assessments, and opened the way for thermal performance evaluation of building walls on-site.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"335 ","pages":"Article 115601"},"PeriodicalIF":6.6,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143610281","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

Pattern extraction and structured characterization for electricity consumption profiles in different types of buildings

IF 6.6 2区工程技术

Energy and Buildings Pub Date : 2025-03-11 DOI: 10.1016/j.enbuild.2025.115598

Yi Dai, Shuo Liu, Hao Li, Qi Chen, Xiaochen Liu, Xiaohua Liu, Tao Zhang

{"title":"Pattern extraction and structured characterization for electricity consumption profiles in different types of buildings","authors":"Yi Dai, Shuo Liu, Hao Li, Qi Chen, Xiaochen Liu, Xiaohua Liu, Tao Zhang","doi":"10.1016/j.enbuild.2025.115598","DOIUrl":"10.1016/j.enbuild.2025.115598","url":null,"abstract":"<div><div>Accurate prediction of electricity consumption patterns in buildings is essential for optimizing energy management and integrating renewable energy sources. This study provides a practical method for predicting electricity consumption and emphasizes the impact of key factors. First, this study collected data from 196 buildings in China and applied various models to improve prediction accuracy. R2 values of the prediction results range from 0.85 to 0.91 for known buildings and from 0.48 to 0.70 for unknown buildings. Second, an information gain-based approach is applied to assess the impact of independent variables. The analysis revealed that intra-day fluctuations have the highest information gain of 0.45, highlighting their dominant influence. Third, a method is proposed to divide a building’s load into time-dependent, weather-dependent, and random components. The time-dependent component captures intra-day and annual fluctuations, while the weather-dependent load reflects cooling and heating demands. This study also indicates that a reliable load prediction can be achieved only based on a small dataset from representative buildings, and combining data from multiple buildings significantly improves regional electricity consumption forecasts. This research improves prediction accuracy for various building types and offers insights into optimizing data collection for load prediction.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"336 ","pages":"Article 115598"},"PeriodicalIF":6.6,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143628590","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 novel reinforcement learning method based on generative adversarial network for air conditioning and energy system control in residential buildings

IF 6.6 2区工程技术

Energy and Buildings Pub Date : 2025-03-11 DOI: 10.1016/j.enbuild.2025.115564

Zehuan Hu , Yuan Gao , Luning Sun , Masayuki Mae , Taiji Imaizumi

{"title":"A novel reinforcement learning method based on generative adversarial network for air conditioning and energy system control in residential buildings","authors":"Zehuan Hu , Yuan Gao , Luning Sun , Masayuki Mae , Taiji Imaizumi","doi":"10.1016/j.enbuild.2025.115564","DOIUrl":"10.1016/j.enbuild.2025.115564","url":null,"abstract":"<div><div>Residential buildings account for a significant portion of global energy consumption, making the optimal control of air conditioning and energy systems crucial for improving energy efficiency. However, existing reinforcement learning (RL) methods face challenges, such as the need for carefully designed reward functions in direct RL and the dual training phases required in imitation learning (IL). To address these issues, this study proposes a Generative Adversarial Soft Actor-Critic (GASAC) framework for controlling residential air conditioning and photovoltaic-battery energy storage systems. This framework eliminates the need for predefined reward functions and achieves optimal control through a single training process. An accurate simulation model was developed and validated using real-world data from a residential building in Japan to evaluate the proposed method’s performance. The results show that the proposed method, without requiring a reward function, increased the time the temperature remained within the comfort range by 11.43 % and reduced electricity costs by 14.05 % compared to baseline methods. Additionally, the training time was reduced by approximately two-thirds compared to direct RL methods. These findings demonstrate the effectiveness of GASAC in achieving optimal temperature control and energy savings while addressing the limitations of traditional RL and IL methods.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"336 ","pages":"Article 115564"},"PeriodicalIF":6.6,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143644893","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

Synergetic carbon emission reduction in the construction industry: A spatial correlation perspective from urban agglomerations in southeast coastal China

IF 6.6 2区工程技术

Energy and Buildings Pub Date : 2025-03-11 DOI: 10.1016/j.enbuild.2025.115552

Xiaojuan Li, Gaona Duan, Chengxin Lin, Yun Lin, Jieyi Chen, Congying Fang, Tinghui Zhang

{"title":"Synergetic carbon emission reduction in the construction industry: A spatial correlation perspective from urban agglomerations in southeast coastal China","authors":"Xiaojuan Li, Gaona Duan, Chengxin Lin, Yun Lin, Jieyi Chen, Congying Fang, Tinghui Zhang","doi":"10.1016/j.enbuild.2025.115552","DOIUrl":"10.1016/j.enbuild.2025.115552","url":null,"abstract":"<div><div>The construction industry is a key stakeholder in mitigating climate change both in China and globally. Understanding the link between spatial network carbon emissions in the construction industry (CECI) and synergy levels in urban agglomerations is crucial for regional emission reduction efforts. This study investigates the Guangdong-Fujian-Zhejiang Coastal Urban Agglomeration (GFZ-CUA) in southeast China, using panel data from 2012 to 2021 to assess CECI. Social network analysis is applied to examine the spatial structure of CECI, supplemented by an analysis of carbon emission coordination discrepancies to empirically reveal both quantitative and relational effects of spatial correlations. Results indicate that the GFZ-CUA exhibits a spatial pattern of “high emissions in the north, low in the south, high along the coast, and low inland,” forming a “core-periphery” structure. Despite broad spatial coverage, relationships among cities frequently shift, revealing fragmented emission reduction efforts between core coastal and peripheral inland cities. Significant disparities are evident in provincial coordination levels. While increasing network density strengthens collaborative emission reduction, the influence of hierarchical structures remains minimal. This study presents a new methodological blueprint for collaborative carbon reduction in urban agglomerations and offers practical policy recommendations and strategies for the low-carbon development of the construction industry.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"336 ","pages":"Article 115552"},"PeriodicalIF":6.6,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143644897","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

Electronic fault record sharing platform for building air-conditioning based on blockchain technology 基于区块链技术的建筑空调电子故障记录共享平台

IF 6.6 2区工程技术

Energy and Buildings Pub Date : 2025-03-10 DOI: 10.1016/j.enbuild.2025.115583

Cun Liu, Chang Xu, Huanxin Chen, Yiqing Wang, Bo Zhu, Linzhi Han

{"title":"Electronic fault record sharing platform for building air-conditioning based on blockchain technology","authors":"Cun Liu, Chang Xu, Huanxin Chen, Yiqing Wang, Bo Zhu, Linzhi Han","doi":"10.1016/j.enbuild.2025.115583","DOIUrl":"10.1016/j.enbuild.2025.115583","url":null,"abstract":"<div><div>In today’s rapid development of air-conditioning intelligence, blockchain technology has become the key to breaking through the trust barrier to air-conditioning data. Data plays an important role in air-conditioning intelligence. However, the distrust of data has not only hindered the circulation of data, but also limited the further development of air-conditioning intelligence. In order to break through the trust barrier to air-conditioning data, this paper proposes an electronic fault record sharing platform for building air-conditioning based on blockchain technology. The platform utilizes key technologies such as hash algorithm, consensus algorithm, and asymmetric encryption in the blockchain, and chooses the Ethereum network as its deployment platform. The core feature of this platform is its use of blockchain technology to ensure that the data uploaded to the platform is tamper-proof, transparent, and traceable, which achieves completely trustworthy storage within the blockchain and breaks down the trust barrier between individuals and individuals, and between enterprises and enterprises. The results of the study show that smart contracts of the Ethereum platform are excellent in handling electronic fault records, which also provides an entry point for the integration of blockchain with building air-conditioning. In addition, the building air-conditioning electronic fault record sharing platform based on blockchain technology also has a low data storage cost, showing broad prospects for its practical application. Through the application of blockchain technology, the trustworthiness of air-conditioning data is improved, providing a solid foundation for the further development of air-conditioning intelligence.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"336 ","pages":"Article 115583"},"PeriodicalIF":6.6,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143637742","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

Study on the year-round demand flexibility in residential buildings: Control strategies and quantification methods

IF 6.6 2区工程技术

Energy and Buildings Pub Date : 2025-03-10 DOI: 10.1016/j.enbuild.2025.115582

Weilin Li , Rufei Li , Wenhai Sui , Hao Yu , Haichao Gao , Liu Yang

{"title":"Study on the year-round demand flexibility in residential buildings: Control strategies and quantification methods","authors":"Weilin Li , Rufei Li , Wenhai Sui , Hao Yu , Haichao Gao , Liu Yang","doi":"10.1016/j.enbuild.2025.115582","DOIUrl":"10.1016/j.enbuild.2025.115582","url":null,"abstract":"<div><div>The transition to a renewable energy-centric system necessitates enhanced demand flexibility in buildings. The load characteristics of electrical appliances in residential buildings are influenced by various factors, including seasonal variations and user habits. However, there is a notable lack of comparative research on flexible load control across multiple seasons and day types throughout the year, as well as a scarcity of indexes and their grading applications that can comprehensively describe the multi-dimensional building flexibility characteristics. Therefore, this study focuses on typical residential buildings in Cold region and explores the flexible control effects of various strategies in diverse seasonal and day type scenarios. An innovation “digitized-graded” index system is established, grading index values based on flexibility strength, duration, and maximum reduction, thereby providing a comprehensive understanding of demand flexibility from both quantitative and qualitative perspectives. The findings reveal that different control strategies excel in different seasons and distinct evaluation dimensions. Specifically, the strategy of changing the air conditioning temperature set point performs best in summer, while the intermittent start-stop cycles strategy is more suitable for winter. Furthermore, these strategies dominate in <em>Flexibility Strength Index</em> (<em>FSI</em>) and <em>Flexibility Duration Index</em> (<em>FDI</em>), achieving maximum values of 39.3 % and 14 h, respectively, signifying “extremely strong flexibility” and “extremely long-term flexibility”. Adjusting the lighting intensity is optimal in the transition season, followed by summer, and is least effective in winter. Additionally, shiftable loads using time transfer strategy exhibit a <em>Maximum Reduction Index</em> (<em>MRI</em>) of up to 13.9, indicating “extremely heavy reduction flexibility”.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"336 ","pages":"Article 115582"},"PeriodicalIF":6.6,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143620974","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

Efficiency in building energy use: Pattern discovery and crisis identification in hot-water consumption data

IF 6.6 2区工程技术

Energy and Buildings Pub Date : 2025-03-10 DOI: 10.1016/j.enbuild.2025.115579

Lina Morkunaite , Darius Pupeikis , Nikolaos Tsalikidis , Marius Ivaskevicius , Fallon Clare Manhanga , Jurgita Cerneckiene , Paulius Spudys , Paraskevas Koukaras , Dimosthenis Ioannidis , Agis Papadopoulos , Paris Fokaides

{"title":"Efficiency in building energy use: Pattern discovery and crisis identification in hot-water consumption data","authors":"Lina Morkunaite , Darius Pupeikis , Nikolaos Tsalikidis , Marius Ivaskevicius , Fallon Clare Manhanga , Jurgita Cerneckiene , Paulius Spudys , Paraskevas Koukaras , Dimosthenis Ioannidis , Agis Papadopoulos , Paris Fokaides","doi":"10.1016/j.enbuild.2025.115579","DOIUrl":"10.1016/j.enbuild.2025.115579","url":null,"abstract":"<div><div>As global challenges such as climate change and pandemics increasingly disrupt urban systems, the need for efficient and resilient management of energy resources has become critical. The energy used to prepare domestic hot water (DHW) takes a large proportion of residential buildings’ total thermal energy demand. However, it is often overlooked in research due to its stochastic nature and high dependence on user behaviour. This study explores the identification of the crisis and its severity level in the DHW consumption data and the corresponding control actions necessary to mitigate its impact. To identify crisis severity, we utilised the mobility data of retail/recreation activities and transit stations, making the results generalisable for any crisis. In addition, we used power consumption for DHW preparation data from 10 residential apartment buildings located in Kaunas city to develop a machine learning-based hybrid ensembling stacking classifier (ESC) capable of predicting the crisis and its severity level. Finally, we applied principal component analysis (PCA) and k-means clustering to categorise DHW consumption hours throughout the day for each severity level. The results showed that the developed ESC classifier significantly outperforms (<span><math><mrow><msup><mi>R</mi><mn>2</mn></msup><mo>=</mo><mn>0.99</mn></mrow></math></span>) the baseline LGBMC classifier (<span><math><mrow><msup><mi>R</mi><mn>2</mn></msup><mo>=</mo><mn>0.92</mn></mrow></math></span>). Combining the classifier with extracted daily consumption patterns and clusters allows the optimisation of control actions on the supply, distribution, and demand side of the DHW system.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"336 ","pages":"Article 115579"},"PeriodicalIF":6.6,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143637354","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