{"title":"Cost-Effective new energy management strategies for hybrid energy storage solutions","authors":"Shuhan Wei, Yichen Sun, Chengzhi Yu, Shon Ming","doi":"10.1016/j.enbuild.2026.117495","DOIUrl":"https://doi.org/10.1016/j.enbuild.2026.117495","url":null,"abstract":"The objective has significantly expedited the adoption of renewable energy technology to achieve carbon neutrality and maximum emissions. Increasing wind absorption is possible with the use of electrical energy storage. Optimizing the energy storage mechanism also requires an energy management plan. In this study, we present a new approach to energy management and suggest a hybrid energy storage system (HESS) that integrates a power-to-gas converter with a compressed carbon dioxide energy storage system. The first step is to optimize the system’s volume and compare the suggested option to two others. Afterwards, three more cases are examined to confirm consistent findings. The next step is to run a sensitivity analysis. According to the comparative data, the new energy management (NEM) approach has a 25.65% and 24.51% lower levelized cost of electricity (LCOE) than the conventional alternatives in high wind resource (wind/load ratio > 0.30) regions. Still, the latter gains decline to much lower levels in moderate and low wind conditions. In addition, the NEM<ce:hsp sp=\"0.25\"></ce:hsp>option proved to be the most effective out of the four scenarios, further supporting the reliability of the comparison findings. Based on the sensitivity assessment results, optimizing the cost of the polymer electrolyte membrane electrolyzer (PEME) increases its design power and decreases its LCOE. Reducing wind curtailment energy, overall cost, and LCOE are further benefits of increasing the prediction period. However, LCOE, overall expenses, and the number of cases with inadequate energy are all worsened by a lower energy limit.","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"24 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2026-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147726790","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}
Energy and BuildingsPub Date : 2026-04-15Epub Date: 2026-02-06DOI: 10.1016/j.enbuild.2026.117114
Z. Khorasani Zadeh , M. Ouf , B. Gunay , B. Delcroix , G. Larochelle Martin
{"title":"Developing an adaptive thermostat control algorithm for occupant-centric demand response in residential buildings","authors":"Z. Khorasani Zadeh , M. Ouf , B. Gunay , B. Delcroix , G. Larochelle Martin","doi":"10.1016/j.enbuild.2026.117114","DOIUrl":"10.1016/j.enbuild.2026.117114","url":null,"abstract":"<div><div>In cold-climate regions such as Quebec, Canada, electric heating imposes substantial strain on the power grid during winter peak hours. To manage this load and ensure grid stability, utilities have adopted thermostat-based direct load control (DLC) programs as a demand-side management solution. Conventional static DLC strategies often underperform in practice because they fail to account for diverse occupant comfort preferences and varying building thermal characteristics. This mismatch results in high override rates, reduces the potential of peak demand reduction, and leads to user dissatisfaction. This study contributes to addressing this gap by proposing an adaptive, occupant-centric thermostat control algorithm that dynamically adjusts preheating and setback strategies during DLC events based on real-time observations of occupant overrides and zone-level heating system runtime. Notably, the algorithm operates without requiring prior knowledge of occupant type or building properties. Using EnergyPlus simulations and its Python API across various scenarios combining two occupant profiles (prefer warmer/cooler) and two envelope types (good/poor envelope), the algorithm iteratively refines control parameters by learning from zone-level thermal and behavioural response patterns. Compared to static DLC, the adaptive strategy reduces peak demand for space heating by up to 72%, depending on house type and occupant behaviour, minimizes overrides, and lowers electricity costs, with savings ranging from $77 to $126 per winter under Québec’s dynamic pricing. By tailoring control parameters to both user tolerance and building thermal inertia, the algorithm supports context-aware demand shifting, whether through deeper or shallower setbacks or reduced or enhanced preheating, without compromising occupant comfort.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"357 ","pages":"Article 117114"},"PeriodicalIF":7.1,"publicationDate":"2026-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146134690","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}
Energy and BuildingsPub Date : 2026-04-15Epub Date: 2026-02-06DOI: 10.1016/j.enbuild.2026.117124
V. Costanzo , M. Detommaso , G. Evola , F. Nocera , M. Mistretta , S. Longo
{"title":"A novel hydroponic roof system for the energy renovation of flat roofs in the Mediterranean area","authors":"V. Costanzo , M. Detommaso , G. Evola , F. Nocera , M. Mistretta , S. Longo","doi":"10.1016/j.enbuild.2026.117124","DOIUrl":"10.1016/j.enbuild.2026.117124","url":null,"abstract":"<div><div>This study introduces and validates a novel Deep Water Culture hydroponic roof system as a building-integrated solution for enhancing indoor thermal conditions and energy efficiency in Mediterranean climates. Unlike conventional green roofs, the proposed system removes the soil layer and uses a water-based nutrient solution that simultaneously supports plant growth and acts as a thermal energy buffer. A full-scale prototype was experimentally tested on an existing office building in Catania (Italy); based on the experimental data, transient thermal modelling is then undertaken with TRNSYS to simulate the prototype with different roof configurations.</div><div>Results show that the hydroponic roof reduces indoor peak temperatures by up to 2.8 °C in the summer, increases them by 2.4 °C in the winter and shifts heat flux peaks by up to 16 h. Annual simulations indicate energy savings of 47% for space cooling and 51% for space heating, too. The DWC hydroponic roof demonstrates strong potential as a relatively lightweight, passive retrofit technology combining urban agriculture and building decarbonization.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"357 ","pages":"Article 117124"},"PeriodicalIF":7.1,"publicationDate":"2026-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146134691","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}
Energy and BuildingsPub Date : 2026-04-15Epub Date: 2026-02-05DOI: 10.1016/j.enbuild.2026.117113
Manuel Kipp, Ruya Wang, Klaus Bengler
{"title":"Optimizing thermal comfort in highly automated vehicles: An AI-Based HVAC management approach with radiant panels for winter conditions","authors":"Manuel Kipp, Ruya Wang, Klaus Bengler","doi":"10.1016/j.enbuild.2026.117113","DOIUrl":"10.1016/j.enbuild.2026.117113","url":null,"abstract":"<div><div>This paper presents an AI-based model for optimizing heating, ventilation, and air conditioning (HVAC) settings to improve thermal comfort in electric vehicles under winter conditions and to estimate the associated power consumption. Unlike conventional HVAC systems that primarily rely on convective heating, the investigated concept combines convective airflow with nine radiant heating panels to enhance comfort and energy efficiency. Equivalent temperature (ET) was employed as an objective thermal comfort metric, and an XGBoost (Extreme Gradient Boosting) model was trained to predict ET for 16 body regions, achieving a high accuracy (coefficient of determination <span><math><mrow><msup><mi>R</mi><mn>2</mn></msup><mo>=</mo><mn>0.96</mn></mrow></math></span>). A Random Forest model was applied to relate fan speed and damper settings to mass flow. Validation experiments confirmed that the optimized HVAC settings maintained thermal comfort, with at least 50% of local body regions and 100% of upper and lower body averages within the neutral comfort zone. The approach demonstrated potential power savings of up to 240 W compared to convection-dominant strategies. These findings highlight the potential of combining AI with hybrid HVAC concepts to improve passenger comfort and reduce energy consumption in future automated electric vehicles.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"357 ","pages":"Article 117113"},"PeriodicalIF":7.1,"publicationDate":"2026-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146172678","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":"A critical review of phase change material–aerogel flexible composite films for personal thermal management: performance, mechanism, and applications","authors":"Xianfei Liu, Hui Wang, Hui Zhang, Fang Wang, Mengjie Li, Bo Wen, Junjun Li, Caixia Zhu","doi":"10.1016/j.enbuild.2026.117141","DOIUrl":"10.1016/j.enbuild.2026.117141","url":null,"abstract":"<div><div>Flexible phase change material–aerogel composite films (FPCMACFs) offer a promising solution to the dual challenges of achieving personalized thermal comfort and environmental adaptability. They merge the high energy storage of PCMs with the structural stability of aerogels to simultaneously deliver thermal regulation, prevent leakage, and maintain flexibility. This review critically analyzes the state-of-the-art in FPCMACFs, moving beyond a general overview to focus on film-level architectural designs suitable for skin-contact applications. We explicitly evaluate the design trade-offs between maximizing latent heat loading (>80 wt%) and maintaining mechanical compliance, and dissect the conflicting requirements of high thermal conductivity for rapid response and high insulation for extreme protection. Key conclusions indicate that while current anisotropic aerogel skeletons successfully resolve the leakage-rigidity conflict, a critical gap remains in standardized durability testing required for commercial adoption. By synthesizing recent advances in multifunctional coupling (flame retardancy, EMI shielding, and solid–solid phase transitions), this work provides a rational design framework to transition FPCMACFs from laboratory concepts to reliable, next-generation personal thermal management wearables.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"357 ","pages":"Article 117141"},"PeriodicalIF":7.1,"publicationDate":"2026-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146160228","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}
Energy and BuildingsPub Date : 2026-04-15Epub Date: 2026-02-09DOI: 10.1016/j.enbuild.2026.117131
Lei Li , Long Jiang , Xiaoyi She , Jianhang He , Meng Wu , Meng Zhen , Kai Nan , Ming Zhang
{"title":"Winter thermal comfort of older adults with chronic diseases in historic districts of two Chinese climate zones","authors":"Lei Li , Long Jiang , Xiaoyi She , Jianhang He , Meng Wu , Meng Zhen , Kai Nan , Ming Zhang","doi":"10.1016/j.enbuild.2026.117131","DOIUrl":"10.1016/j.enbuild.2026.117131","url":null,"abstract":"<div><div>With population aging, improving the winter outdoor thermal comfort of older adults with chronic diseases in historic urban districts is important for health and for sustainable urban renewal. Focusing on two representative sites—Jinli in Chengdu (southern group, hot summer–cold winter) and Buzili in Zhangjiakou (northern group, cold zone), we combined micrometeorological measurements with questionnaires, obtaining 1,512 valid older adult samples. Physiologically Equivalent Temperature (PET) was used to assess winter thermal perception, and machine learning models were applied to identify key influencing factors. Results indicate that the northern group has a Neutral Physiologically Equivalent Temperature (NPET) of 7.4℃ and a thermally acceptable range (TAR) of 1.90–14.66℃, whereas the southern group has an NPET of 12.3℃ and a TAR of 8.93–18.51℃. Random Forest performed best for predicting Thermal Sensation Vote (TSV) (north R<sup>2</sup> = 0.804, south R<sup>2</sup> = 0.867). SHapley Additive exPlanations (SHAP) translated qualitative directions into indicative intervals: V<sub>a</sub> exceeds about 2.0 m/s it markedly shifts TSV toward “colder”, whereas keeping near ground V<sub>a</sub> within 1–1.5 m/s lowers risk; in the south, when RH reaches about 80% or higher and T<sub>a</sub> is above about 12℃, the marginal warming effect of temperature increase alone attenuates, suggesting a priority for dehumidification plus moderate warming. PM2.5 and PM10 showed a negative association with Thermal Comfort Vote (TCV) in the north. This study provides winter thermal benchmarks and quantifies the context sensitivity of temperature–wind/humidity couplings into practice oriented indicative intervals, enhancing health levels for elderly individuals with chronic diseases in historic districts.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"357 ","pages":"Article 117131"},"PeriodicalIF":7.1,"publicationDate":"2026-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146146606","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}
Energy and BuildingsPub Date : 2026-04-15Epub Date: 2026-02-10DOI: 10.1016/j.enbuild.2026.117129
Eric Ohene , Michael D. McGehee , Moncef Krarti
{"title":"Evaluation of smart glazing properties for net positive windows in commercial buildings","authors":"Eric Ohene , Michael D. McGehee , Moncef Krarti","doi":"10.1016/j.enbuild.2026.117129","DOIUrl":"10.1016/j.enbuild.2026.117129","url":null,"abstract":"<div><div>The study identifies smart glazing properties necessary for delivering net energy positive performance for office buildings. A comprehensive parametric framework is used to quantify the influence of smart window optical and thermal characteristics, tint control strategies, and building design parameters on whole-building energy performance. The analysis results demonstrate that smart glazed windows can transition from net energy liability to net energy positive elements of office building envelopes when climate-responsive control strategies and daylighting integration are appropriately implemented. Without daylighting control, smart glazed windows can increase annual energy use by up to 20% in cooling-dominated climates, whereas the deployment of daylighting control reduced total energy consumption by 5–7%<!--> <!-->in mixed climates such as Boulder, CO. Outdoor air temperature (OAT)-based control strategies consistently outperformed incident total solar-radiation (ITSR)-based controls, when coupled with optimal switching settings. Moreover, the sensitivity analyses reveal a nonlinear dependence of energy performance on window-to-wall ratio, with large windows increasing both the penalties and benefits of smart glazed fenestration systems. Improvements in thermal transmittance below 1.10 W/m<sup>2</sup>·K yielded diminishing returns, indicating that adaptive optical properties are more influential than ultra-low U-factors for achieving net energy positive performance for smart glazed windows. The evaluation of commercially available electrochromic glazing products when deployed to office buildings show energy savings of 2–5% for mild and mixed climates, near-neutral performance for cooling-dominated climates, and energy penalties for heating-dominated climates.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"357 ","pages":"Article 117129"},"PeriodicalIF":7.1,"publicationDate":"2026-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146152970","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":"Adapting building stock archetype methodology for greenhouse stock characterisation","authors":"Junior Zannou , Danielle Monfet , Gilbert Larochelle Martin , Didier Haillot","doi":"10.1016/j.enbuild.2026.117121","DOIUrl":"10.1016/j.enbuild.2026.117121","url":null,"abstract":"<div><div>The development of archetypes is a well-established approach for modelling the energy consumption of building stocks; however, its application to greenhouse stocks remains largely unexplored. This article proposed a method for greenhouse stock characterisation, using electric greenhouses in Quebec as a case study.</div><div>The proposed method relied on k-means clustering applied to a sample of 104 greenhouses, categorised into three electric energy use types: electric heating (<em>GHe</em>), electric heating with artificial lighting (<em>GHLe</em>), and electric lighting with non-electric heating (<em>GLe</em>). Clustering was based on heating degree-days and energy use intensity per production days (<em>EUI<sub>pp</sub></em>) for <em>GHe</em> and <em>GHLe</em>, and on latitude and <em>EUI<sub>pp</sub></em> for <em>GLe</em>. The optimal number of clusters (k = 3) was determined using the elbow method and silhouette index, with scores ranging from 0.54 to 0.72, resulting in the identification of nine distinct archetypes.</div><div>Each archetype was characterised according to its geometry, cover material, thermal transmittance, and crop type. Geometry was assigned in a deterministic manner, resulting in three individual and six multi-span greenhouse archetypes. Cover material exhibited a discrete distribution (68% double polyethylene (Ped), 32% glass), while the associated thermal transmittance was characterised by a uniform probability distribution (UPD) specific to each material. Crop type was defined by a discrete distribution: 85% for warm-season and 15% for cool-season. This approach provided a structured segmentation of a heterogeneous greenhouse stock into distinct clusters and archetypes, thereby establishing the foundation for energy modelling of Quebec’s electric greenhouses and supporting its transferability to other regions with analogous data.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"357 ","pages":"Article 117121"},"PeriodicalIF":7.1,"publicationDate":"2026-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146134676","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}
Energy and BuildingsPub Date : 2026-04-15Epub Date: 2026-02-09DOI: 10.1016/j.enbuild.2026.117127
Muhammad Aarish Shah, Syed Hassaan Ali Shah, Omama Zeb, Aman Alam
{"title":"Performance assessment of nature-based solutions for sustainable urban housing","authors":"Muhammad Aarish Shah, Syed Hassaan Ali Shah, Omama Zeb, Aman Alam","doi":"10.1016/j.enbuild.2026.117127","DOIUrl":"10.1016/j.enbuild.2026.117127","url":null,"abstract":"<div><div>The building sector is one of the major energy consumer and carbon producers, primarily due to the conventional construction and operation methods. Conventional buildings alone account for more than 40% of the total global greenhouse gas emissions during their construction and operation phase. These massive emissions further exacerbate climate change and its adverse impacts like urban flooding, urban heat island, effect overall increase in temperatures, melting of glaciers etc. To counter these challenges and mitigate the ill impacts of climate change, a step towards sustainable construction technique needs to be considered. This study evaluates the combined impact of green roofs and vertical gardening on a typical 10-Marla residential building under regional climatic conditions using EnergyPlus simulations, informed by actual utility energy consumption and assessed using prevailing average residential electricity rates. A 10-Marla residential building was modeled in Autodesk Revit and then exported to DesignBuilder software for energy analysis. The simulations were performed using EnergyPlus simulation engine, initially for the conventional building and later for the optimized building integrated with vertical and rooftop gardening. A cost-recovery analysis was performed to calculate the payback period for the amount required for retrofitting of these measures into a standard building. The results showed that there were annual energy savings of about 25% and the carbon emissions were also reduced by the same figure. The cost recovery period for the upfront cost was determined to be 3.45 years. The operative temperatures dropped by up to 1.2°C for summer season and increased by up to 1.6°C for winter season. The results should be interpreted conservatively, as localized urban heat island effects not fully captured in gridded weather datasets may further increase cooling demand and enhance the relative benefits of the proposed retrofits.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"357 ","pages":"Article 117127"},"PeriodicalIF":7.1,"publicationDate":"2026-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146146621","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}
Energy and BuildingsPub Date : 2026-04-15Epub Date: 2026-02-04DOI: 10.1016/j.enbuild.2026.117103
Xinyi Lin , Zhe Tian , Adrian Chong , Yakai Lu , Jide Niu , Na Deng
{"title":"A data informativeness evaluation method for grey-box modeling of building thermal dynamics","authors":"Xinyi Lin , Zhe Tian , Adrian Chong , Yakai Lu , Jide Niu , Na Deng","doi":"10.1016/j.enbuild.2026.117103","DOIUrl":"10.1016/j.enbuild.2026.117103","url":null,"abstract":"<div><div>Grey-box modeling has been widely used in building thermal modeling due to its adaptability and interpretability. The identification of model parameters mainly depends on the measured dataset, and its optimal construction is critical for ensuring model accuracy. Existing studies commonly discuss the influence of training data quantity on the model accuracy. However, the training data informativeness is always ignored, which reflects the quality and richness of information within the data samples and informs the estimates of model parameter values. Notably, the informativeness level may vary among samples, and the quantity of data does not necessarily correlate with its informativeness. Here, we propose a data informativeness evaluation method that can well select informative training data for grey-box models under different scenarios. The method establishes two evaluation criteria based on the characteristics of grey-box model: one describes the consistency between training and forecasting data distributions, and the other outlines the distribution variations within the training data. The effectiveness of the proposed method is demonstrated using data from experiment case. The results indicate that the proposed data informativeness index reflects the quality of the dataset well and has a high correlation with prediction accuracy (The Pearson correlation coefficient varies from −0.6 to −0.8). This evaluation method will be of great significance for optimizing the dataset construction of grey-box model of building thermal dynamics.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"357 ","pages":"Article 117103"},"PeriodicalIF":7.1,"publicationDate":"2026-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146147113","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}