Energy and Buildings最新文献

{"title":"Agentic Built Environments: a review","authors":"Jeyoon Lee ,&nbsp;Jihwan Song ,&nbsp;Jabeom Koo ,&nbsp;Sebin Choi ,&nbsp;Jaemin Hwang ,&nbsp;Syed Mostasim Hasnain Saif ,&nbsp;Yuxin Li ,&nbsp;Jiteng Li ,&nbsp;Jaehyun Yoo ,&nbsp;Gowoon Lee ,&nbsp;Minju Seok ,&nbsp;Sungmin Yoon","doi":"10.1016/j.enbuild.2025.116159","DOIUrl":"10.1016/j.enbuild.2025.116159","url":null,"abstract":"<div><div>Agentic artificial intelligence (AI) holds significant potential for enhancing functional capabilities and effectiveness in domain-specific applications across built environments. While recent studies have primarily focused on the architectural components or technical mechanisms of large language model (LLM)-based AI agents, there remains a lack of comprehensive literature reviews addressing their various application domains, functional roles, and learning approaches within the built environment. Therefore, this study reviews the current landscape of Agentic AI applications in the built environment and proposes a classification structure that encompasses applications, functional roles, and learning approaches. First, this paper examines five representative applications within the built environment. Second, it categorizes the roles of AI agents according to the Data-Information-Knowledge-Wisdom (DIKW) hierarchy, emphasizing their progression from data interpretation to decision support. Finally, this review identifies four core learning approaches adopted by AI agents. Based on this classification framework, this paper defines <em>Agentic Built Environment</em> as virtual assistants embedded with Agentic AI that are capable of providing intelligent services throughout the entire building lifecycle. It also presents the current Level of Development (LoD) of the Agentic Built Environment, identifies existing limitations, and proposes future directions for developing scalable AI agents that support AI-powered services and intelligent decision-making throughout the building lifecycle.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"346 ","pages":"Article 116159"},"PeriodicalIF":6.6,"publicationDate":"2025-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144664731","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 data-driven multi-objective optimisation framework for energy efficiency and thermal comfort in flexible building spaces","authors":"Huanbo Lyu ,&nbsp;Daniel Herring ,&nbsp;Hongkuan Chen ,&nbsp;Shiqiao Zhou ,&nbsp;Jianyu Zhang ,&nbsp;Lingfeng Wang ,&nbsp;Zheming Zuo ,&nbsp;James Andrews ,&nbsp;Michal kočvara ,&nbsp;Fabian Spill ,&nbsp;Jelena Ninic ,&nbsp;Shuo Wang","doi":"10.1016/j.enbuild.2025.116100","DOIUrl":"10.1016/j.enbuild.2025.116100","url":null,"abstract":"<div><div>Buildings contribute to over 30 % of global energy consumption. Optimising building performance offers a significant opportunity to reduce energy consumption, and improve occupant comfort and well-being. While data-driven prediction and multi-objective optimisation have been widely studied for generative building design and control, space utilisation remains underexplored, even though nowadays more buildings are equipped with temporary walls that can flexibly divide space. The key challenges lie in how to make the best use of building-relevant data for room-level energy prediction and how to balance energy efficiency with other factors. To fill in this research gap, this paper proposes the first data-driven multi-objective optimisation framework that allows walls to be moved to the best places for optimal energy efficiency and thermal comfort. It leverages surrogate machine learning models for room-level energy prediction and Multi-objective Evolutionary Algorithms (MOEAs) enhanced with a wall-reordering mutation strategy to balance between energy usage and thermal feelings of occupants. The framework is validated through two case studies, demonstrating that the optimised configurations can reduce energy consumption by around 10 % while enhancing occupants’ thermal comfort. This paper shows the effectiveness of data-driven approaches for flexible building space usage, paving the way to the sustainability and occupant well-being goals in smart buildings.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"346 ","pages":"Article 116100"},"PeriodicalIF":6.6,"publicationDate":"2025-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144664770","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":"Local thermal insulation provided by typical office chairs","authors":"Yudong Wang ,&nbsp;Zhen Sun ,&nbsp;Shengkai Zhao ,&nbsp;Hongjin Ma ,&nbsp;Yuxuan Ning ,&nbsp;Yongchao Zhai","doi":"10.1016/j.enbuild.2025.116162","DOIUrl":"10.1016/j.enbuild.2025.116162","url":null,"abstract":"<div><div>As multi-node models for predicting local thermal comfort in non-uniform thermal environments have advanced, the continued use of overall clothing thermal insulation values derived from standing postures to evaluate predominantly seated individuals may introduce notable inaccuracies. To address this limitation, this study systematically investigated local thermal insulation in seated postures using a thermal manikin in a controlled climate chamber. Measurements were conducted for two common chair types (mesh and leather) across typical seasonal clothing ensembles, thereby addressing a critical research deficiency in existing literature. Results indicated that local thermal insulation of most body regions generally showed a positive correlation with the thermal insulation of the clothing and chair. Local thermal insulation values of body regions not in contact with the chair (chest, stomach, upper arms) are influenced mainly by the microclimate air layer formed through interactions between clothing and posture. In contrast, for body regions in direct contact with the chair (back, shoulders, thigh back), the combined effects of chair, clothing, and trapped air were the dominant factors. Region-specific predictive models for local insulation were developed using clothing and chair insulation values as input parameters. This study provides practical predictive models and reference data to support the evaluation of thermal comfort in seated postures. These findings can inform the design of personalized thermal comfort systems incorporating localized thermal regulation, with potential benefits for reducing HVAC-related energy consumption.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"346 ","pages":"Article 116162"},"PeriodicalIF":6.6,"publicationDate":"2025-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144664730","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":"Energy flexibility at multi-building scales: A review of the dominant factors and their uncertainties","authors":"George Dawes ,&nbsp;Tuğçin Kirant-Mitić ,&nbsp;Zixin Jiang ,&nbsp;Jérôme Le Dréau ,&nbsp;Hanmin Cai ,&nbsp;Jiyuan Cui ,&nbsp;Jordan Townsend ,&nbsp;Adamantios Bampoulas ,&nbsp;Rongling Li ,&nbsp;Rui Amaral Lopes ,&nbsp;Bing Dong","doi":"10.1016/j.enbuild.2025.116157","DOIUrl":"10.1016/j.enbuild.2025.116157","url":null,"abstract":"<div><div>Energy flexibility from buildings is a key enabler of the flexible energy system required to integrate intermittent renewable energy sources. This systematic literature review investigates the factors influencing energy flexibility from the built environment and the uncertainties associated with its exploitation. It employed a structured methodology using over 140 relevant studies to identify and categorise the sources of uncertainty into aleatory and epistemic sources.</div><div>Stochastic elements, like weather and occupant behaviour, introduce aleatory uncertainty which challenges prediction capabilities. This can be managed through probabilistic modelling and adaptive controls. Epistemic uncertainty, driven by incomplete data, lack of knowledge and modelling assumptions, remains a barrier to accurate forecasting. The identified dominant factors were determined iteratively and comprise occupant behaviour, building characteristics, energy systems and controls, and externalities.</div><div>A framework was proposed in which uncertainties arising from the dominant factors can be categorised and mitigated for different stakeholders. Uncertainty can propagate through systems and controls, causing poor realisation of building energy flexibility. This can be managed via implementation of robust optimisation methods and real-time (15 min or shorter) data integration. Externalities such as market volatility and complex policy frameworks also pose risks to the economic viability of flexibility services. This review emphasises the need for improved data collection and advanced control as methods to mitigate uncertainty in flexibility quantification. Additionally, it highlights the critical role of diversity in mitigating uncertainty, and the importance of increasing building populations (i.e., 100 or more domestic dwellings) to enable scalable flexibility solutions.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"346 ","pages":"Article 116157"},"PeriodicalIF":6.6,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144654565","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":"Can quantum computing surpass classical algorithms in optimizing building performance? A benchmark study with 15,000 simulations","authors":"Haidar Hosamo ,&nbsp;Vagelis Plevris ,&nbsp;Dimitrios Kraniotis ,&nbsp;Christian Nordahl Rolfsen","doi":"10.1016/j.enbuild.2025.116156","DOIUrl":"10.1016/j.enbuild.2025.116156","url":null,"abstract":"<div><div>Optimizing building performance is essential for enhancing energy efficiency and occupant comfort. This study evaluates the applicability of quantum computing–based optimization methods in the Architecture, Engineering, and Construction (AEC) industry by comparing the Quantum Approximate Optimization Algorithm (QAOA) and Quantum Annealing (QA) with classical multi-objective optimization algorithms, namely Non-dominated Sorting Genetic Algorithm II (NSGA-II) and Multi-Objective Particle Swarm Optimization (MOPSO). A dataset of 15,000 building simulations was used to train an Extreme Gradient Boosting (XGBoost) model for predicting total energy consumption (kWh/m²/year) and Predicted Percentage of Dissatisfied (PPD) occupants. These predictions were then used in the optimization phase. NSGA-II produced the best trade-offs, achieving energy consumption between 17.84 and 19.84 kWh/m²/year and PPD below 5.2 %, with strong diversity and convergence. QAOA executed faster (0.54 min) than NSGA-II (18.9 min) but resulted in higher energy values (31.85–55.62 kWh/m²/year) and weaker solution quality. Quantum Annealing completed in 0.37 min but returned clustered solutions near 45.88 kWh/m²/year. While the current limitations of quantum methods constrain their effectiveness, the findings indicate their potential as fast solvers in future building performance optimization workflows, particularly as hardware and algorithmic capabilities mature.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"346 ","pages":"Article 116156"},"PeriodicalIF":6.6,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144664886","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":"Techno-economic design of zero-energy detached house’s energy system with water electrolysis-based hydrogen waste heat under Nordic climate conditions","authors":"Xiaolei Yuan ,&nbsp;Xinyi Hu ,&nbsp;Jiayi Liu ,&nbsp;Juha Jokisalo ,&nbsp;Risto Kosonen ,&nbsp;Yuchen Ju ,&nbsp;Tianchen Xue ,&nbsp;Altti Meriläinen ,&nbsp;Antti Kosonen","doi":"10.1016/j.enbuild.2025.116158","DOIUrl":"10.1016/j.enbuild.2025.116158","url":null,"abstract":"<div><div>This paper investigates the cost-optimal dimensioning of energy systems for a detached house in cold climates, focusing on the economic potential of integrating waste heat from water electrolysis-based hydrogen production into district heating (DH) networks. It evaluates 25-year lifecycle costs (LCCs) for various energy system configurations, including DH systems with commercial and zero-emission DH prices, a ground source heat pump (GSHP) with an electric backup heater and photovoltaic (PV) panels, and a GSHP system integrated with DH and PV panels under different DH pricing models. Results show that a zero-emission DH price reduces LCC by 7.5 % compared to a commercial DH price when DH is the primary heating system. However, the use of DH as the only heat source generally exhibits much higher LCCs compared to GSHP systems paired with various backup heaters. The inclusion of maximum allowed PV capacity contributes to cost optimization in all scenarios. Under the circumstance of DH as backup heating, the power fee dominates the cost structure of DH systems, accounting for over 95 % of costs, which minimizes the impact of DH energy tariffs on LCCs. Additionally, the energy coverage from backup heating, namely DH and electric heater, is less than 1% and 3% respectively, suggesting a very low need for backup heating due to the low temperature levels in heat distribution and using large storage tank. Among backup heating options, electric heating emerges as the most cost-effective, offering approximately 20 % LCC savings compared to solutions relying on DH systems.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"346 ","pages":"Article 116158"},"PeriodicalIF":6.6,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144654713","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":"Mitigation urban heat island by using porous and permeable block pavement","authors":"Tiziano Dalla Mora,&nbsp;Giuseppe Emmi,&nbsp;Paolo Ruggeri,&nbsp;Massimiliano De Bei,&nbsp;Fabio Peron","doi":"10.1016/j.enbuild.2025.116149","DOIUrl":"10.1016/j.enbuild.2025.116149","url":null,"abstract":"<div><div>Local climate change has intensified extreme events such as the Urban Heat Island (UHI) effect, where urban areas experience higher temperatures than nearby rural zones, primarily due to the prevalence of heat-retaining materials and reduced vegetation. This creates challenges for sustainability, health, and energy use. A key mitigation method is the use of porous and permeable pavements, which enhance surface reflectivity, promote cooling through evaporation, and limit heat storage.</div><div>This study examines the performance of permeable and porous block pavements for outdoor urban applications. Field and lab measurements and ENVI-met simulations were conducted to assess various pavement types implemented in mainland Venice. Experimental tests focused on three samples—a standard block and two porous variants (dark and light-coloured) were developed to characterize the thermal properties (thermal conductivity, thermal diffusivity, solar absorptance, emissivity, and solar reflectance index) and to determine the changes in thermal fluxes during the monitoring period.</div><div>The experimental test shows how the porous light-coloured material has proved as most effective in mitigating UHI, able to reduce the average external surface temperature of by 1.5–2 °C in the afternoon in respect to the standard block; while dark porous block, even if made by the same porous material composition of light coloured, it is not always effective in improving the application due to the different albedo.</div><div>The results of the simulations are comparable to those characterised in the laboratory, with similar daily mean (almost 32 °C) and maximum (38 °C) temperatures in the receptor at the same sample location, although the daily trend is closer to that of the outdoor air.</div><div>The adoption of permeable paving blocks offers significant environmental and urban planning benefits, such as an improvement of stormwater management, thermal comfort, public health, urban liveability. Their integration into urban design could support climate resilience according to sustainability policies.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"346 ","pages":"Article 116149"},"PeriodicalIF":6.6,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144654566","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":"Numerical investigation of a novel photo-thermal synergetic catalytic Trombe wall","authors":"Xiaojian Duan ,&nbsp;Chao Shen ,&nbsp;Sen Guo ,&nbsp;Soteris A. Kalogirou","doi":"10.1016/j.enbuild.2025.116153","DOIUrl":"10.1016/j.enbuild.2025.116153","url":null,"abstract":"<div><div>Buildings contribute significantly to global carbon emissions, necessitating innovations in façade design to reduce energy consumption. Traditional Trombe walls, despite their thermal efficiency, are limited by single-functionality and inefficiencies when used for other purposes like air purification. This study established a two-dimensional numerical model of a novel Trombe wall system which integrates power generation, space heating, and air purification. The research employs computational fluid dynamics (CFD) simulations to evaluate the performance of the system under varying structural parameters (e.g., airflow channel width and height) and environmental conditions (e.g., solar radiation intensity, inlet temperature, and bioaerosol concentrations). Key findings indicate the optimal channel width maximizes both thermal and sterilization efficiencies, while solar radiation intensity and air inlet temperature significantly affect system performance. The optimal channel width is equal to 0.2 m. Seasonally, the system demonstrates peak efficiency in regions with high solar radiation, achieving a sterilization efficiency of 0.53 and energy utilization rates of up to 52.9 %. This study’s contribution lies in the integrated design of photovoltaic and catalytic components, enabling simultaneous energy generation, heating, and air sterilization, thus establishing the way for multi-functional sustainable building façades.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"346 ","pages":"Article 116153"},"PeriodicalIF":6.6,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144664768","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":"Guidelines for the convergence of bio-architecture and neuroarchitecture based on the WELL building standard","authors":"Elton Lima ,&nbsp;Hilma Ferreira ,&nbsp;Luís Mateus ,&nbsp;Amilton Arruda","doi":"10.1016/j.enbuild.2025.116141","DOIUrl":"10.1016/j.enbuild.2025.116141","url":null,"abstract":"<div><div>Growing evidence suggests that nature-inspired design strategies can enhance both human well-being and the environmental performance of buildings. However, a gap remains between architectural practices that superficially incorporate natural elements and research demonstrating their impact on users’ cognitive, physiological, and emotional health. This study investigates how bio-architecture principles, rooted in the distinct yet complementary frameworks of biomimetics and biophilia, converge with neuroarchitecture findings—particularly regarding perception, neuroplasticity, and sensory comfort—to inform healthier and more sustainable built environments. Through a three-stage methodology combining systematic literature review on biomimetics, biophilia, and neuroarchitecture, cross-analysis of international standards, and triangulation with built precedents, a set of conceptual design guidelines was developed to integrate the WELL Building Standard framework with insights on human-centred and nature-based solutions. The results highlight that strategic use of natural materials, maximising access to daylight and fresh air, improving thermal conditions, planning adaptable spaces, and designing sensorially rich environments positively influence occupant well-being and performance. This occupant-focused approach aligns scientific rigour with normative frameworks, representing an initial step towards a unified theoretical model that prioritise comfort, emotional balance, and cognitive support. By merging bio- and neuro-informed strategies, this paper provides a conceptual roadmap for architects, engineers, building operators, and researchers to create spaces that are both regenerative and experientially attuned.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"346 ","pages":"Article 116141"},"PeriodicalIF":6.6,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144634330","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 influence of emotion on human thermal comfort: based on netted meta-analysis","authors":"Kun Zhou ,&nbsp;Hao Yang ,&nbsp;ShuTing Li ,&nbsp;YaYu Feng ,&nbsp;TianYi Pang ,&nbsp;YanKai Zhao ,&nbsp;Yi Xu","doi":"10.1016/j.enbuild.2025.116148","DOIUrl":"10.1016/j.enbuild.2025.116148","url":null,"abstract":"<div><div>This review systematically discusses the influence of emotion on human thermal sensation, and compares it with traditional thermal comfort factors such as wind speed and temperature. Thermal comfort is the key evaluation index of indoor environment. The traditional thermal comfort model mainly considers the influence of environmental and physiological factors, but less considers the influence of individual differences and subjective perception. As an important psychological factor to express individual’s subjective reaction, the degree of influence of emotion on human thermal sensation is the core issue of this study. Bayesian network <em>meta</em>-analysis method is used to quantify the influence of emotion on human thermal sensation. The study included 24 literatures, involving 33 independent samples, with a total of 8730 samples. Using Stata18.0 software, through the network <em>meta</em>-analysis of random effect model of frequency framework, the framework of factors affecting human thermal sensation is constructed, and the SUCRA ranking results of the influence degree of each factor on human thermal sensation are obtained: Wind Speed (63.5 %), Temperature (62.5 %), Emotion (61.9 %), Metabolic Rate (56.8 %) Thermal Resistance of Clothing (33 %) and Relative Humidity (22.3%). At the same time, the results show that climate type has no significant moderating effect on the influence of emotion on thermal sensation (P &gt; 0.05), while age difference significantly moderates this relationship (P &lt; 0.05). The purpose of this study is to deepen the individual differential thermal comfort theory and further promote the construction of flexible and personalized thermal comfort evaluation system.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"346 ","pages":"Article 116148"},"PeriodicalIF":6.6,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144654711","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}