Energy and Buildings最新文献

{"title":"Research progress and hot topics of distributed photovoltaic: Bibliometric analysis and Latent Dirichlet Allocation model","authors":"Na Li,&nbsp;Tao Lv,&nbsp;Xingyu Wang,&nbsp;Xiangyun Meng,&nbsp;Jie Xu,&nbsp;Yuxia Guo","doi":"10.1016/j.enbuild.2024.115056","DOIUrl":"10.1016/j.enbuild.2024.115056","url":null,"abstract":"<div><div>Distributed photovoltaic (PV) are instrumental in promoting energy transformation and reducing carbon emission. A large number of studies in recent years have focused on distributed PV from different perspectives and approaches, but there is a lack of a systematic review of the research literature, which affects the future developments. Thus, we undertook a bibliometric analysis of 1366 articles on distributed PV published in the Web of Science during 1985–2023, and applied a Latent Dirichlet Allocation (LDA) model to identify research hotspots and evolution. Our results indicate that the number of publications on distributed PV increased since 1985. China and the USA are the most influential countries, with the highest number of publications and citations, and the highest publication impact (H-index). Furthermore, four research hotspots were identified: (1) technoeconomic analysis, PV adoption and support policies; (2) optimization design of distributed PV systems; (3) related technology and equipment; (4) distributed PV power output. Research on distributed PV was unstable in the early stages; these four stable research hotspots emerged since 2010. Finally, some conclusions and policy implications are given. Our study will serve as a reference for further in-depth research and facilitate the deployment of distributed PV to foster sustainable development in the world.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"327 ","pages":"Article 115056"},"PeriodicalIF":6.6,"publicationDate":"2024-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701924","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}

{"title":"Demand response optimization for smart grid integrated buildings: Review of technology enablers landscape and innovation challenges","authors":"Liana Toderean ,&nbsp;Tudor Cioara ,&nbsp;Ionut Anghel ,&nbsp;Elissaios Sarmas ,&nbsp;Vasilis Michalakopoulos ,&nbsp;Vangelis Marinakis","doi":"10.1016/j.enbuild.2024.115067","DOIUrl":"10.1016/j.enbuild.2024.115067","url":null,"abstract":"<div><div>This paper provides a comprehensive overview and analysis of state-of-the-art technological advancements in building integration in<!--> <!-->smart<!--> <!-->grids, with a focus on enabling their participation in demand response (DR). We consolidate knowledge from high-quality sources on the main research topics, helping researchers, building owners, and energy stakeholders to stay informed about the latest developments, trends, and best practices in<!--> <!-->the field.<!--> <!-->Our review covers reputable journals papers that offer technological enablers and evidence-based insights on<!--> <!-->building interoperability, AI-based energy prediction models, demand optimization and coordination, data privacy, and decentralization.<!--> <!-->Managing buildings in DR requires careful coordination and control,<!--> <!-->thus<!--> <!-->we provide valuable insights into current practices and opportunities by examining the EU innovation projects and identifying technological innovation trends that aim to increase resident engagement by addressing regulatory and socio-economic concerns. We also discuss the main barriers to buildings’ participation in DR identifying future research directions in the field and providing mitigation insights to the building owners and grid operators. Our findings indicate that despite their potential<!--> <!-->building<!--> <!-->participation is limited due to the absence of a clear regulatory framework and lack of mature technologies<!--> <!-->to fully support and automate the<!--> <!-->programs<!--> <!-->implementation. While AI and optimization technologies<!--> <!-->show promise for improving demand coordination, challenges such as limited interoperability between buildings and energy grids, privacy concerns, and insufficient financial incentivization significantly limit the building’s participation in DR.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"326 ","pages":"Article 115067"},"PeriodicalIF":6.6,"publicationDate":"2024-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142672824","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}

{"title":"An indoor thermal comfort model for group thermal comfort prediction based on K-means++ algorithm","authors":"Ying Liu ,&nbsp;Xiangru Li ,&nbsp;Cheng Sun ,&nbsp;Qi Dong ,&nbsp;Qing Yin ,&nbsp;Bin Yan","doi":"10.1016/j.enbuild.2024.115000","DOIUrl":"10.1016/j.enbuild.2024.115000","url":null,"abstract":"<div><div>Predicting indoor thermal comfort plays an essential role in controlling energy consumption in buildings. Existing studies have used supervised machine learning to predict thermal comfort, which were more accurate than traditional models. However, these models required occupants’ subjective feedback for model training, which reduced the accuracy of the model. In this study, a prediction model that didn’t require feedback was proposed for the first time using the K-means++ algorithm based on the ASHRAE Global Thermal Comfort Database II. Firstly, the data quality was improved through feature selection, dimensional processing, and feature weighting. Then the influence of different outlier judgment methods, feature weight and data set size on model accuracy were compared. Finally, the K-means++ algorithm was applied for thermal comfort clustering analysis. The result showed that the model with an accuracy higher than 90 % could be constructed using only three factors (CLO, TA, RH), and the proposed model could predict indoor group thermal comfort reliably, and provide a foundation for the indoor thermal sensation evaluation.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"327 ","pages":"Article 115000"},"PeriodicalIF":6.6,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701925","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}

{"title":"Comparative study on the correlation between human local and overall thermal sensations based on supervised machine learning","authors":"Huanchen Zhao ,&nbsp;Bo Xia ,&nbsp;Jingyuan Zhao ,&nbsp;Shijing Zhao ,&nbsp;Hongyu Kuai ,&nbsp;Xinyu Zhang ,&nbsp;Gefei Yan","doi":"10.1016/j.enbuild.2024.115061","DOIUrl":"10.1016/j.enbuild.2024.115061","url":null,"abstract":"<div><div>In heterogeneous indoor environments, significant perceptual discrepancies exist among different body parts concerning their environmental sensitivity. Understanding the relationship between Local Thermal Sensation (LTS) at various body sites and the Overall Thermal Sensation (OTS) is essential for both theoretical inquiry and practical application. Previous studies have predominantly occurred within artificially controlled climatic chambers, with relatively fewer investigations conducted in situ. This study investigates the relationship between LTS and OTS among university students of differing genders in both air-conditioned and non-air-conditioned classroom settings in colder regions. Various supervised machine learning (SML) algorithms were utilized to analyze the data, evaluating their efficacy in predicting the relationship between LTS and OTS and their respective influence weights. The findings demonstrate a significant nonlinear positive correlation between LTS and OTS across different air conditioning settings and genders. Additionally, the Random Forest (RF) algorithm achieved the highest accuracy in predicting LTS weights, with an accuracy exceeding 80%. The study also revealed differences in the influence weights of different body parts across genders and conditions; however, across all conditions, the head and neck region consistently exhibited the highest weight, while the feet displayed the lowest.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"328 ","pages":"Article 115061"},"PeriodicalIF":6.6,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142759747","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}

{"title":"Future technologies for building sector to accelerate energy transition","authors":"Fabrizio Ascione ,&nbsp;Sandro Nižetić ,&nbsp;Fuqiang Wang","doi":"10.1016/j.enbuild.2024.115044","DOIUrl":"10.1016/j.enbuild.2024.115044","url":null,"abstract":"<div><div>This Editorial briefly introduces and organizes the worthy studies provided in the Special Issue of Energy and Buildings, entitled “Future technologies for building sector to accelerate energy transition: a special issue”. The main topics of selected papers are herein summarized, proposing scientific studies concerning the next generation buildings, and thus mandatory targets of energy efficiency, reduction of energy demands, novel technologies for building envelope and active energy systems, on-site conversion from renewable energy sources. Both areas of the building industry are considered, and thus decarbonization of existing buildings and novel constructions characterized by mandatory energy performance levels of nearly, net- and plus-energy buildings. These topics are crucial for improving building performance, and reducing energy consumption, with reference to both the heating and cooling seasons, therefore addressing the new and mandatory challenges of zero-energy and zero-emission buildings, also taking into account climate change. The results of manuscripts published in this special issue show worthy potential and real achievements, with significant reductions in energy demands and emissions, and therefore they underline the usefulness of traditional and novel technologies and strategies for buildings, highlighting the economic and environmental benefits of novel design and retrofitting methods and solutions. The debated topics are essential to dealing with climate change, reducing energy poverty, environmental impact, local overheating and UHIs, going, finally, in the direction of a mandatory, sustainable, and smart future for the building sector.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"326 ","pages":"Article 115044"},"PeriodicalIF":6.6,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142672817","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}

{"title":"Performance analysis of a novel photocatalytic double-layer ventilation window","authors":"Haifei Chen ,&nbsp;Tao Hong ,&nbsp;Mingguo Peng ,&nbsp;Yanyan Liu ,&nbsp;Pengcheng Du ,&nbsp;Yanglong Zhao ,&nbsp;Yunjie Wang ,&nbsp;Huihan Yang","doi":"10.1016/j.enbuild.2024.115062","DOIUrl":"10.1016/j.enbuild.2024.115062","url":null,"abstract":"<div><div>The application of renewable energy in the building sector has received increasing attention. In this work, a zero-energy photocatalytic double-layer ventilation window was proposed to reduce building energy consumption and improve indoor air quality. The effects of environmental and operational parameters on the system’s performance were investigated through experimental testing and simulation analysis. The results show that the thermal efficiency of the system increases with the rise in solar irradiation, while the degradation rate initially increases and then decreases. The performance of the system is significantly affected by the inlet air speed and temperature. When the photocatalyst is coated on both sides of the window compared to one side under solar irradiation of 600 W/m², the thermal efficiency and degradation rate of the system increase by 29 % and 74 %, respectively. This study demonstrates the potential of photocatalytic double-layer ventilation windows in energy-efficient buildings and provides an important reference for sustainable building design.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"326 ","pages":"Article 115062"},"PeriodicalIF":6.6,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142672815","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}

{"title":"Enhancing smart building performance with waste heat recovery: Supply-side management, demand reduction, and peak shaving via advanced control systems","authors":"Hui Liu ,&nbsp;Zhe Du ,&nbsp;Tingting Xue ,&nbsp;Tao Jiang","doi":"10.1016/j.enbuild.2024.115070","DOIUrl":"10.1016/j.enbuild.2024.115070","url":null,"abstract":"<div><div>With the increasing use of smart building technologies in modern infrastructures, a growing focus is on developing intelligent energy systems. This study focuses on a crucial part of this transition by investigating the application of a rule-based control method to harness the heat from wastewater to warm the ventilation lines in residential buildings. This research intends to enhance the integration of smart buildings into modern energy systems by prioritizing optimal performance and using creative control methods, mainly robust rule-based control schemes, thereby addressing current gaps and contributing to overall improvement. The proposed system’s effectiveness is assessed and compared with a conventional model without the developed smart strategy from all facets. The system’s performance was assessed using hourly, monthly, seasonal, and annual metrics, with a detailed sensitivity analysis conducted to evaluate the proposed control strategy’s practicality. The findings reveal that the intelligent ventilation system achieves approximately 10% higher efficiency and conserves over 1.4 tonnes of CO2 emissions annually. Economically, the model demonstrates its feasibility through a marked reduction in heating costs, decreasing from 54.9 USD/MWh to 30.7 USD/MWh despite an initial investment of 29,032 USD. The results also show that the smart integration system maintains elevated supply air temperatures during colder months, enhancing thermal efficiency and reducing reliance on external heat sources. Economic analysis further identifies the energy wheel as the largest cost component, representing 50% of the total investment. Monthly variations in heat recovery from wastewater and production via the energy wheel suggest that integrating these elements through a dynamic control system leads to significant operational savings and reduces the need for local district heating. During peak demand periods, radiators serve as the primary heating source. Air-handling units provide necessary ventilation and supplemental heating, allowing for efficient energy distribution and management across all seasons.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"327 ","pages":"Article 115070"},"PeriodicalIF":6.6,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142721593","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}

{"title":"Assessing the impact of local energy generation and storage to achieve the decarbonization of the single-family housing stock in Germany","authors":"Lina Dworatzek ,&nbsp;Daniele Santucci ,&nbsp;Christoph van Treeck","doi":"10.1016/j.enbuild.2024.115068","DOIUrl":"10.1016/j.enbuild.2024.115068","url":null,"abstract":"<div><div>The decarbonization of the building stock, in this paper focusing on the single-family house typology in Germany, is essential to achieve the climate goals. In fact, as the largest part of the building stock, it represents more than 65 % of the entire German residential building stock. Current strategies and regulations have demonstrated low impact on carbon emission reduction due to poor renovation rates, particularly in the single-family house typology. The present study analyzes the potential of carbon emission reduction prioritizing local renewable energy generation and storage in combination with improved building energy systems. Through a simulation-based approach, it considers reference buildings of different age classes and formulates variants for improving strategies with different levels of retrofit, under the premise of a fully renewable, locally generated energy supply. Based on the potential for solar energy supply, the variants consider the seasonal shift that needs to be stored and particularly the role of hydrogen as an energy storage medium. The study goal is quantifying the impacts of the local renewable energy production, and its required storage capacity depending on the retrofit depth, for estimating the potential of transforming the single-family house stock to net zero carbon emissions.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"327 ","pages":"Article 115068"},"PeriodicalIF":6.6,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701417","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}

{"title":"Experimental study on the cooling and electricity-saving effects of radiative cooling coating applied to communication base station","authors":"Chi Feng ,&nbsp;Biao Lu ,&nbsp;Yue He ,&nbsp;Xianqi Huang ,&nbsp;Gang Liu ,&nbsp;Shan Gao","doi":"10.1016/j.enbuild.2024.115064","DOIUrl":"10.1016/j.enbuild.2024.115064","url":null,"abstract":"<div><div>The cooling requirements of communication base stations (CBSs) align with the effects of radiative cooling coatings. However, these effects have not been comprehensively verified by in-situ measurements heretofore. To evaluate the cooling efficacy of radiative cooling coatings on CBSs, in this study, the radiative properties of a radiative cooling coating were tested in the laboratory. The cooling and electricity-saving effects of the radiative cooling coating were assessed using field measurements in Chengdu, China. Based on the experimental data, electricity savings, and carbon emission reductions in summer were evaluated. The experimental results showed that the radiative cooling coating’s shortwave reflectivity and longwave emissivity were both 0.90. The radiative cooling coating effectively lowered the exterior and interior surface temperatures of the CBS roof by 20.8 °C and 3.7°C, respectively, and consequently stabilized fluctuations in the CBS indoor air temperature. The measured daily electricity consumption of the air conditioning system was reduced by approximately 10 %. Additionally, the daily electricity consumption was found to be linearly related to the daily average ambient air temperature, particularly after applying the radiative cooling coating. This relationship was used to predict the electricity-saving effects of radiative cooling coatings on a large scale. If all the 80,000 CBSs in Chengdu used the same radiative cooling coating, the electricity savings in summer could reach 11.54 million kWh every year, corresponding to an annual carbon emission reduction of 1.41 million kgCO₂.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"326 ","pages":"Article 115064"},"PeriodicalIF":6.6,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142672818","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}

{"title":"The impact of lifespan assumptions in LCA: Comparing the replacement of building parts versus building layers—A housing case study","authors":"Annette Davis ,&nbsp;Alberto Quintana-Gallardo ,&nbsp;Núria Martí Audí ,&nbsp;Ignacio Guillén Guillamón","doi":"10.1016/j.enbuild.2024.115050","DOIUrl":"10.1016/j.enbuild.2024.115050","url":null,"abstract":"<div><div>The circular economy transition of the built environment is of high priority in the EU, a challenge even more pressing in the housing sector. Conceptualising buildings as ensembles of standardised and prefabricated products, which can be separated into both defined building parts or layers is an accepted circular design approach facilitating future replacement and reuse. Life Cycle Assessment (LCA) is a tool for achieving circularity by informing design choices based on predefined lifespans. However, there is conflicting top-down guidance about whether to assume individual lifespans for constituent components or to group these into building layers when carrying out whole building LCAs. This study reviews the latest guidance on building layers and parts according to the European Level(s) framework, ISO 20887 standard for Design for Disassembly and Adaptability, and the Shearing Layers concept. An energy efficient housing case study was used to compare organisation of the Life Cycle Inventory into separate lifespans for components and layers aligned to Shearing Layers, with lifespans defined by Level(s) Indicator 2.1. The study focussed on Module B4 replacements over a 100-year period. The findings reveal that assuming the replacement of building components as opposed to layers results in greater carbon emissions. In both cases, emissions were approximately double the amount of upfront carbon to produce the initial building. These findings demonstrate the importance of lifespan assumptions in LCA, which should be further developed. The study provides an LCA template for practitioners to organise the building inventory and apply lifespan assumptions, improving rationale behind design decisions.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"326 ","pages":"Article 115050"},"PeriodicalIF":6.6,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142705067","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}