Thermal Science and Engineering Progress最新文献

On the analytical solution of the one-dimensional convection–conduction equation for packed-bed thermal energy storage systems 关于填料床热能储存系统一维对流-传导方程的解析解

IF 5.1 3区工程技术

Thermal Science and Engineering Progress Pub Date : 2024-09-11 DOI: 10.1016/j.tsep.2024.102888

{"title":"On the analytical solution of the one-dimensional convection–conduction equation for packed-bed thermal energy storage systems","authors":"","doi":"10.1016/j.tsep.2024.102888","DOIUrl":"10.1016/j.tsep.2024.102888","url":null,"abstract":"<div><p>Temperature distribution modeling within packed-bed thermal energy storage (PBTES) systems is crucial to simulate its integration into heat sources and perform techno-economic analyses to assess the actual benefits associated with its use. This article proposes a one-dimensional convection–conduction equation to model a fluid–solid system by assuming volume-averaged properties for the energy balance and determines the analytic solution through Integral Transforms. The present study analyzes the applicability of this analytic solution considering different operational conditions of PBTES systems. The article revealed that the Péclet number (<span><math><mtext>Pe</mtext></math></span>) and the fluid-to-solid capacity ratio (<span><math><mi>κ</mi></math></span>) must be limited to obtain stable solutions, while the dimensionless time <span><math><mi>τ</mi></math></span> cannot be arbitrary despite computing an analytic solution. A sensitivity study of the solution for parameter <span><math><mrow><mi>a</mi><mo>=</mo><mi>κ</mi><mtext>Pe</mtext><mo>/</mo><mn>2</mn></mrow></math></span> defined the minimum dimensionless time required for the solution to be stable. This stability was assessed with existing experimental setups, indicating the solution’s feasibility for air–solid PBTES systems.</p></div>","PeriodicalId":23062,"journal":{"name":"Thermal Science and Engineering Progress","volume":null,"pages":null},"PeriodicalIF":5.1,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142228816","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Thermoelectric generator efficiency: An experimental and computational approach to analysing thermoelectric generator performance 热电发电机效率：分析热电发电机性能的实验和计算方法

IF 5.1 3区工程技术

Thermal Science and Engineering Progress Pub Date : 2024-09-11 DOI: 10.1016/j.tsep.2024.102884

{"title":"Thermoelectric generator efficiency: An experimental and computational approach to analysing thermoelectric generator performance","authors":"","doi":"10.1016/j.tsep.2024.102884","DOIUrl":"10.1016/j.tsep.2024.102884","url":null,"abstract":"<div><p>TEGs are devices that convert heat directly into electricity through the Seebeck effect, offering a promising solution for waste heat recovery in various industries. In this research, COMSOL Multiphysics 6.0 was used to conduct a comprehensive 3-dimensional computational study of TEGs. Integrating thermal and electrical models in COMSOL facilitates a detailed understanding of the thermoelectric phenomenon. Applying six distinct temperature gradients, temperature and electrical distribution, power output, and efficiency of the TEG was thoroughly analysed. Experimental validation confirms strong agreement between simulation and experimental data, emphasizing accuracy. The average efficiency for the TEG at 1 Ω load is 3.12 %, increasing to 3.62 % for a 2 Ω load. The relative error between the computational model and the experimental model was 5 % for open circuit, 12.56 % for closed circuit at 1 Ω, and 12.14 % for closed circuit at 2 Ω, affirming the accuracy of the computational approach. Therefore, the computational model is validated by experimental results.</p><p>Moreover, the findings highlight the relationship between external load resistance and power output, revealing that the maximum output power was achieved when the external load resistance matched the internal load resistance at 2 Ω. This work also significantly contributes to advancing the computational modelling of TEGs, validated through rigorous experimental analysis.</p></div>","PeriodicalId":23062,"journal":{"name":"Thermal Science and Engineering Progress","volume":null,"pages":null},"PeriodicalIF":5.1,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S245190492400502X/pdfft?md5=eeb778def60fc3c7acab266f594e85e7&pid=1-s2.0-S245190492400502X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142167834","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Unlocking optimal performance and flow level control of three-phase separator based on reinforcement learning: A case study in Basra refinery 基于强化学习的三相分离器优化性能和流量控制：巴士拉炼油厂案例研究

IF 5.1 3区工程技术

Thermal Science and Engineering Progress Pub Date : 2024-09-07 DOI: 10.1016/j.tsep.2024.102885

{"title":"Unlocking optimal performance and flow level control of three-phase separator based on reinforcement learning: A case study in Basra refinery","authors":"","doi":"10.1016/j.tsep.2024.102885","DOIUrl":"10.1016/j.tsep.2024.102885","url":null,"abstract":"<div><p>This research explores the application of a new reinforcement learning (RL-based) controller for a three-phase separator connected to a gas turbine. The control of flow levels within the separator directly impacts fluid flow turbulence, especially when the equipment is linked to waste heat gas from the turbine to improve gas quality. The study introduces the novel RL-based controller and validates its effectiveness in real-world conditions using three-phase separators in Basra, Iraq, and through a review of relevant literature. The controller can adapt to inlet conditions such as pressure, temperature, mass flow rate, and incoming heat from the gas turbine. Waste heat recovery from the gas can enhance gas purity but also increase turbulence in water and oil. Maintaining a calm flow while ensuring high-speed flow over the baffle in the middle of the separator is crucial for optimal performance. The study considers two geometrical configurations of the vessel for redesigning the separator at the Basra refinery. The controller was implemented using the groovyBC utility within the OpenFOAM software. This model was then utilized to simulate real-world scenarios at the Basra refinery, displaying faster convergence, more rapid response, and more accurate tracking of the target fluid level. This study marks the initial effort to apply the deep deterministic policy gradient (DDPG) controller in computational fluid dynamic (CFD) work. The findings demonstrated a significant enhancement in separation efficiency by more than 36%, as well as smoother streamlines through the control and maintenance of pressure and velocity over the baffle.</p></div>","PeriodicalId":23062,"journal":{"name":"Thermal Science and Engineering Progress","volume":null,"pages":null},"PeriodicalIF":5.1,"publicationDate":"2024-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142163147","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Exergo-economic optimization of heat-integrated water networks 供热一体化水网的排气经济优化

IF 5.1 3区工程技术

Thermal Science and Engineering Progress Pub Date : 2024-09-06 DOI: 10.1016/j.tsep.2024.102883

{"title":"Exergo-economic optimization of heat-integrated water networks","authors":"","doi":"10.1016/j.tsep.2024.102883","DOIUrl":"10.1016/j.tsep.2024.102883","url":null,"abstract":"<div><p>This paper introduces an exergo-economic optimization approach for synthesizing heat-integrated water networks (HIWNs). Most previous research focused on economic optimization, aiming for optimal network design with minimum total annualized cost (TAC). Exergetic optimization of HIWNs has rarely been studied in the literature. Thus, a novel approach is introduced by developing a nonlinear programming (NLP) model to minimize exergy destruction within the system. In order to manage network complexity (stream splits and extensive piping), exergy destruction caused by friction is added to the objective function. The NLP model produces good local solutions comparable to those obtained with the mixed integer nonlinear programming (MINLP) model with an economic objective function (TAC), with a relative discrepancy in TAC of about 0.4 % and solution time for the NLP model being only about one third of the time needed by the MINLP model. In addition, the exergy-based model does not depend on costs for freshwater, utilities, and equipment. The proposed methodology provides a set of local solutions from which the best one can be selected based on users’ criteria, such as minimum TAC, minimum exergy destruction or a solution in between.</p></div>","PeriodicalId":23062,"journal":{"name":"Thermal Science and Engineering Progress","volume":null,"pages":null},"PeriodicalIF":5.1,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2451904924005018/pdfft?md5=3516fa9014f16f17e720fefce9c23dd7&pid=1-s2.0-S2451904924005018-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142173599","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Investigations on thermal properties of Kevlar K49 type fiber reinforced sugarcane ash blended polyester composite Kevlar K49 型纤维增强甘蔗灰混合聚酯复合材料的热性能研究

IF 5.1 3区工程技术

Thermal Science and Engineering Progress Pub Date : 2024-09-05 DOI: 10.1016/j.tsep.2024.102880

{"title":"Investigations on thermal properties of Kevlar K49 type fiber reinforced sugarcane ash blended polyester composite","authors":"","doi":"10.1016/j.tsep.2024.102880","DOIUrl":"10.1016/j.tsep.2024.102880","url":null,"abstract":"<div><p>This study investigates the thermal properties of a composite material made from Kevlar K49 fiber reinforced sugarcane bagasse blended with polyester. The focus is on thermal conductivity, coefficient of linear thermal expansion (CTE), heat deflection temperature (HDT), and thermogravimetric analysis (TGA). The composite material’s thermal conductivity ranging from 4.68 to 4.97 W/mK demonstrates its suitability for thermal insulation applications. The CTE determined to be 2.98 × 10<sup>–6</sup> /°C, indicates enhanced dimensional stability during thermal cycling. The composite’s HDT ranging from 132 to 145 °C demonstrates its ability to maintain structural integrity under elevated temperatures. The TGA reveals a complex degradation pattern, exhibiting significant thermal stability up to 350 °C and a residual weight of 30–40 %, highlighting the durability of the composite. These findings suggest that incorporating Kevlar K49 filaments and sugarcane ash into the polyester matrix significantly enhances the thermal performance of the composite. This makes it an excellent choice for high-performance applications in industries such as automotive, aviation, and others that require effective thermal management and stability.</p></div>","PeriodicalId":23062,"journal":{"name":"Thermal Science and Engineering Progress","volume":null,"pages":null},"PeriodicalIF":5.1,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2451904924004980/pdfft?md5=40297d8cd10b76bce92bdfb08849ca66&pid=1-s2.0-S2451904924004980-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142163149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Numerical simulation of lignin gasification: The role of gasifying agents in entrained-flow reactors 木质素气化的数值模拟：气化剂在内流式反应器中的作用

IF 5.1 3区工程技术

Thermal Science and Engineering Progress Pub Date : 2024-09-05 DOI: 10.1016/j.tsep.2024.102878

{"title":"Numerical simulation of lignin gasification: The role of gasifying agents in entrained-flow reactors","authors":"","doi":"10.1016/j.tsep.2024.102878","DOIUrl":"10.1016/j.tsep.2024.102878","url":null,"abstract":"<div><p>Biomass gasification using an Entrained-Flow Reactor (EFR) is an effective strategy for sustainable energy production and climate change mitigation. However, optimizing gasification efficiency and syngas quality requires a thorough understanding of the influence of gasifying agents. This study investigates the effects of different gasifying agents—air, CO<sub>2</sub>, steam, and CO<sub>2</sub>-steam mixtures—on lignin gasification in an EFR. Utilizing a validated Eulerian-Lagrangian Computational Particle Fluid Dynamics (CPFD) model, we examine how these agents impact biomass conversion to syngas, focusing on key parameters like hydrogen to carbon monoxide ratio, and the lower heating value (LHV) of syngas. Our findings reveal that air, due to nitrogen dilution, results in suboptimal lignin-to-syngas conversion, yielding lower energy content and hydrogen production. In contrast, steam enhances conversion efficiency, significantly increasing hydrogen output and LHV. CO<sub>2</sub> as a gasifying agent boosts carbon monoxide levels through interactions with solid carbon, leading to a higher energy content in the syngas. The CO<sub>2</sub>-steam mixture is particularly effective, producing syngas with a high hydrogen concentration, primarily due to the water–gas shift reaction and steam’s reaction with the lignin carbon. This research addresses the limitations of existing studies by providing detailed, quantitative insights into the impact of gasifying agents on lignin gasification in an EFR. By adjusting the CO<sub>2</sub>-to-steam ratio, operators can precisely control the composition of syngas for targeted applications such as Fischer-Tropsch synthesis, methanol production, and fermentation. The study highlights the potential of advanced simulation techniques to optimize biomass gasification processes, offering significant improvements in efficiency and energy yield over current methods.</p></div>","PeriodicalId":23062,"journal":{"name":"Thermal Science and Engineering Progress","volume":null,"pages":null},"PeriodicalIF":5.1,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2451904924004967/pdfft?md5=0927802fb40a289f8518d53c059976cc&pid=1-s2.0-S2451904924004967-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142163148","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Theoretical study of thermo-hydrodynamic performances inside an agitated tank equipped with modified two-blade design 配备改良双叶片设计的搅拌罐内部热流体力学性能的理论研究

IF 5.1 3区工程技术

Thermal Science and Engineering Progress Pub Date : 2024-09-03 DOI: 10.1016/j.tsep.2024.102866

{"title":"Theoretical study of thermo-hydrodynamic performances inside an agitated tank equipped with modified two-blade design","authors":"","doi":"10.1016/j.tsep.2024.102866","DOIUrl":"10.1016/j.tsep.2024.102866","url":null,"abstract":"<div><p>The process of heating and cooling in jacketed stirred tanks holds significant importance, particularly in applications involving chemical and food mixing. Due to the various types of complex fluids present in the industrial field, especially those with high viscosity, agitators primarily generate tangential flow. However, controlling convective thermal process through purely tangential flow remains challenging, particularly when the free surface plays a role in thermal operations. Hence, the purpose of the present study is to provide a numerical investigation into the kinetic and thermal performance of a new type of two-blade designed to improve axial velocities inside a cylindrical tank equipped with a heated lateral sidewall jacket. The new type impeller is based on two juxtaposed sub-two-blades of different diameters. The impeller rotation speed (Reynolds number = 0.1–30), the height of the lower two-blade (agitator Length ratio = 1–0) as well as the thermal fluid nature (Prandtl number = 1––1000) represent the parameters guiding the present study in terms of hydrodynamics, thermal aspects, and even energetics. The laminar flow induced by the agitator, resulting in forced convection, is governed by the Navier-Stokes and heat equations, which are solved using the finite element method. The results have shown that the adoption of the modified two-blade configuration not only enhances axial velocity and reduces energy consumption but also improves heat transfer with a slight modification compared to the standard two-blade configurations. Moreover, as the Reynolds number increases, the Nusselt number also rises. It should be noted that the agitated system tends to become more thermally insulated as a thicker standard configuration is employed. This study on modified impellers enhances mixing and heat transfer efficiency in agitated tanks, making it valuable for industries, especially in applications like improved temperature control in food and beverage production.</p></div>","PeriodicalId":23062,"journal":{"name":"Thermal Science and Engineering Progress","volume":null,"pages":null},"PeriodicalIF":5.1,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142167836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Using CFD to model the distortion of pollutant concentration signal at exhaust lines 使用 CFD 模拟排气管污染物浓度信号的失真

IF 5.1 3区工程技术

Thermal Science and Engineering Progress Pub Date : 2024-09-03 DOI: 10.1016/j.tsep.2024.102875

{"title":"Using CFD to model the distortion of pollutant concentration signal at exhaust lines","authors":"","doi":"10.1016/j.tsep.2024.102875","DOIUrl":"10.1016/j.tsep.2024.102875","url":null,"abstract":"<div><p>The present study introduces a method for generating the distortion of species concentration signals within exhaust lines, employing Computational Fluid Dynamics (CFD) modelling instead of experimental techniques. Understanding distortion is important when e.g. tailpipe pollutant signals need to be correlated to engine operation patterns and related correction models need to be built. The approach was initially applied on a typical exhaust line geometry of a car, demonstrating the ability of CFD modelling to simulate the CO<sub>2</sub> signal distortion from engine out to tailpipe, and was validated against laboratory measurements. Comparisons for variable operating points, between simulations and experiments, presented a good agreement with a deviation of up to 0.04 s in the time required for the signal to reach 50 % of its final output value (t<sub>50</sub>), and of up to 0.1 s in the rise time (t<sub>90-10</sub>). The methodology was applied to a vehicular exhaust line comprising tubing and buffer volumes, simulating catalysts or mufflers. This investigation aimed to identify the parameters that influence the distortion of CO<sub>2</sub>, revealing that inlet exhaust gas velocity can significantly impact CO<sub>2</sub> distortion. Inlet temperature variations of ± 50 K produce a negligible deviation in t<sub>50</sub> of ± 0.01 s for low inlet velocities and of ± 0.001 s for high inlet velocities. CFD is a useful tool to characterize pollutants signal generation within exhaust line configurations not limited to cars. Such a technique can be used to any mobile or stationary combustion system to study species concentration distortions caused by the individual components.</p></div>","PeriodicalId":23062,"journal":{"name":"Thermal Science and Engineering Progress","volume":null,"pages":null},"PeriodicalIF":5.1,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142163048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Optimizing the thermal performance of phase change materials in building applications using deep reinforcement learning and Bayesian optimization 利用深度强化学习和贝叶斯优化优化建筑应用中相变材料的热性能

IF 5.1 3区工程技术

Thermal Science and Engineering Progress Pub Date : 2024-09-02 DOI: 10.1016/j.tsep.2024.102867

{"title":"Optimizing the thermal performance of phase change materials in building applications using deep reinforcement learning and Bayesian optimization","authors":"","doi":"10.1016/j.tsep.2024.102867","DOIUrl":"10.1016/j.tsep.2024.102867","url":null,"abstract":"<div><p>This research presents a novel methodology for Deep Reinforcement Learning (DRL) and Bayesian Optimisation of the thermal performance of PCMs in building operations. The developed models utilise a unique and large dataset comprising 1500 building thermal profiles, simulated for various climates and building setups obtained from our industry partners and as open data. PCM-based systems are deployed for thermal insulation of building envelopes to regulate indoor temperature conditions and reduce the need for heating and cooling systems, resulting in enhanced energy efficiency. Through the real-time management of the thermal efficacy of PCMs using the DRL method trained on the large dataset and fine-tuning of the underlying model parameters using Bayesian Optimisation, the optimised system achieves energy saving in heating and cooling load of up to 45 percent, along with the induced reduction in CO2 emission. At the same time, DRL contributes to decreasing the thermal fluctuation in the indoor temperature and keeps it in the narrow range of 1.2 °C in case of high thermal variability scenarios. Currently, the best performance is reported in the literature. This research exemplifies the potential of DRL and Bayesian optimisation in sustainable building. It depicts the applications of advanced intelligent computing algorithms with big building energy data as a novel, robust and superior approach for optimising real-world building energy management systems. The methodology and the improvements in energy savings in thermal and energy management of buildings highlight the novelty and potential benefit of the implemented research as a new intellectual property towards sustainable building design.</p></div>","PeriodicalId":23062,"journal":{"name":"Thermal Science and Engineering Progress","volume":null,"pages":null},"PeriodicalIF":5.1,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142167833","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Application of thermal energy efficiency utilization based on computer technology in green manufacturing blockchain production traceability 基于计算机技术的热能效率利用在绿色制造区块链生产追溯中的应用

IF 5.1 3区工程技术

Thermal Science and Engineering Progress Pub Date : 2024-09-01 DOI: 10.1016/j.tsep.2024.102859

{"title":"Application of thermal energy efficiency utilization based on computer technology in green manufacturing blockchain production traceability","authors":"","doi":"10.1016/j.tsep.2024.102859","DOIUrl":"10.1016/j.tsep.2024.102859","url":null,"abstract":"<div><p>With the global emphasis on sustainable development, green manufacturing has become a key strategy to enhance economic efficiency and environmental friendliness. In the manufacturing process, the effective use and management of heat energy directly affect the consumption of resources and the protection of the environment. Blockchain technology, with its transparency and immutability, has gradually been introduced into the production process, helping to achieve traceability and optimization of thermal energy utilization. This study aims to explore how to combine computer technology with blockchain to establish a heat energy monitoring and management system based on computer technology, and collect real-time heat energy data through sensors. It then uses blockchain technology to create a transparent production traceability platform, store and manage thermal data, and ensure the security and reliability of the data. The research shows that the system combining computer technology and blockchain significantly improves the utilization efficiency of heat energy, greatly reduces the heat loss in the production process, and significantly improves the reuse rate of resources. The traceability function of the system effectively improves the transparency of the production process and enables enterprises to adjust their production strategies in time. Therefore, the combination of computer-based thermal efficiency utilization with blockchain production traceability offers a new solution for green manufacturing.</p></div>","PeriodicalId":23062,"journal":{"name":"Thermal Science and Engineering Progress","volume":null,"pages":null},"PeriodicalIF":5.1,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142129254","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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