Measurement: Energy最新文献_第3页

Evaluation of load forecasting using different models 使用不同模型的负荷预测评估

Measurement: Energy

Pub Date : 2025-12-01 Epub Date: 2025-10-22 DOI: 10.1016/j.meaene.2025.100071

Saroj Kumar Panda , Bishwajit Dey

This paper addresses a new prediction of load technique that joins the adaptability of RNNs with the capabilities of temporal modelling of Kolmogorov–Arnold Recurrent with good accuracy, because in energy management, load forecasting is essential since it has a direct effect on grid stability, operational effectiveness, cost containment, and environmental sustainability. While advanced Networks of Recurrent Neural (RNNs) like Networks of Long Short (LSTMs) have confirmed important progress in this area, conventional Vanilla RNNs struggle with problems like vanishing and exploding gradients. However, these models are also applicable for the prediction of the load in a power plant. The Network of Kolmogorov–Arnold Recurrent (KARN), a novel forecasting of load technique that joins the adaptability of RNNs with the capabilities of temporal modeling of Kolmogorov–Arnold Networks, is proposed in this research to address these issues. KARN is versatile across a wide range of customer forms by better non-linear modeling of correlations in data of load through the use of the functions of learnable temporal spline and the edge-based activations. The datasets of real-world, such as the Xingtai power plant, are used to thoroughly test the suggested KARN model. KARN continuously outperformed conventional Vanilla RNNs in all of these customer categories, and in six buildings, it outperformed Networks of Long Short and Units of Gated Recurrent (GRUs). According to the outputs, the model of KARN is a viable instrument for improving load forecasting in a variety of energy management scenarios because of its exceptional accuracy and adaptability.

本文提出了一种新的负荷预测技术，该技术将rnn的适应性与Kolmogorov-Arnold递归的时间建模能力结合起来，具有良好的准确性，因为在能源管理中，负荷预测是必不可少的，因为它对电网稳定性、运行有效性、成本控制和环境可持续性有直接影响。虽然先进的循环神经网络（RNNs），如长短网络（LSTMs），已经在这一领域取得了重要的进展，但传统的香草RNNs仍在努力解决梯度消失和爆炸等问题。然而，这些模型也适用于电厂负荷的预测。为了解决这些问题，本研究提出了一种新的负荷预测技术——Kolmogorov-Arnold递归网络（Network of Kolmogorov-Arnold Recurrent， KARN），它将rnn的自适应性与Kolmogorov-Arnold网络的时间建模能力结合起来。KARN通过使用可学习的时间样条函数和基于边缘的激活函数，对负载数据中的相关性进行更好的非线性建模，从而在广泛的客户形式中具有通用性。以邢台电厂为例，对所提出的KARN模型进行了全面的验证。KARN在所有这些客户类别中持续优于传统的Vanilla rnn，并且在六个建筑物中，它优于长空网络和门控循环单元（gru）。结果表明，KARN模型具有良好的准确性和适应性，是改善各种能源管理情景下负荷预测的可行工具。

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引用次数: 0

A smart approach to maintenance of sustainable district heating systems: Techniques, challenges, and future directions 维护可持续区域供热系统的智能方法：技术、挑战和未来方向

Measurement: Energy

Pub Date : 2025-12-01 Epub Date: 2025-09-05 DOI: 10.1016/j.meaene.2025.100064

Parham Barzegaran Hosseini , Mousa Mohammadpourfard , Gülden Gökçen Akkurt , Mostafa Mohammadpourfard

Currently, district heating systems are essential for the effective distribution of energy derived from renewable sources, such as geothermal and solar thermal energy, to extensive regions, including residential and urban communities. However, faults can affect the system's efficiency and lead to energy waste and significant economic losses. DHS's dependability and effectiveness are even more important as the shift to renewable energy sources accelerates, especially under the Net Zero Emissions by 2025 Scenario. Leakage can be one of the critical faults in the system, including the loss of energy, impact on the environment, challenging stability, and damage to the system equipment. Therefore, leak detection must be quick and precise to avoid system issues and costs. This review study provides a comprehensive review of leakage detection methods, highlighting their evolution, advantages, limitations, and prospects. Traditional model-based approaches are analyzed alongside data-driven techniques and advanced methods such as Unmanned Airborne Infrared Thermography (UAIT). The review also discusses challenges like network complexity, sensor limitations, and the trade-offs between cost, accuracy, and efficiency of different methods. While many studies demonstrate promising results, their reliance on simulated data rather than real-world validation remains a key constraint. The article recommends integrating multiple methods to improve system monitoring and predictive maintenance. It also highlights future directions involving proposed algorithms and models based on state-space nonlinear methods, which are well-suited for complex systems such as DHS. This approach will be helpful in achieving high accuracy and faster detection within system. A view is held regarding the potential for improving the monitoring and predictive maintenance system while considering the sustainable use of renewable energies for district heating and discussing the benefits and drawbacks of those various detection methodologies.

目前，区域供热系统对于有效地向广大地区，包括住宅和城市社区分配来自可再生能源的能源，如地热和太阳热能，是必不可少的。但是，故障会影响系统的运行效率，造成能源的浪费和巨大的经济损失。随着向可再生能源转型的加速，特别是在2025年净零排放的情况下，国土安全部的可靠性和有效性变得更加重要。泄漏可能是系统中的关键故障之一，包括能量损失，对环境的影响，挑战稳定性以及对系统设备的损坏。因此，泄漏检测必须快速和精确，以避免系统问题和成本。本文对泄漏检测方法进行了综述，重点介绍了它们的发展、优势、局限性和前景。传统的基于模型的方法与数据驱动技术和先进的方法（如无人机机载红外热像仪（UAIT））一起进行了分析。该综述还讨论了网络复杂性、传感器限制以及不同方法的成本、准确性和效率之间的权衡等挑战。虽然许多研究显示出有希望的结果，但他们对模拟数据的依赖而不是现实世界的验证仍然是一个关键的限制。本文建议集成多种方法来改进系统监控和预测性维护。它还强调了未来的方向，涉及基于状态空间非线性方法的算法和模型，这些方法非常适合于复杂的系统，如DHS。该方法将有助于实现系统内的高精度和快速检测。在考虑可持续地利用可再生能源进行区域供热的同时，对改进监测和预测性维护系统的潜力提出了看法，并讨论了这些不同检测方法的优缺点。

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引用次数: 0

Optimizing sustainable briquette production by utilizing local feedstock 通过利用当地原料优化可持续型煤生产

Measurement: Energy

Pub Date : 2025-12-01 Epub Date: 2025-11-06 DOI: 10.1016/j.meaene.2025.100074

Kiman Silas , Naeemah A. Ibrahim , Umar Abdullahi Isah , Habiba D. Mohammed , Jerome Undiandeye , Aliyu B. Ngulde , Gutti Babagana

The study aimed to optimize the composition and evaluate the performance of briquettes produced from leaves biomass, Arabic gum, and clay for sustainable and eco-friendly energy applications. This study aims to address the challenge of developing sustainable, high-energy-density briquettes from locally available materials to provide an eco-friendly alternative to traditional fuels for energy production. The briquettes were analyzed using Scanning Electron Microscopy (SEM), thermogravimetric analysis (TGA), proximate and ultimate analyses, water boiling test (WBT), and shatter index (SI) tests. Response Surface Methodology (RSM) was employed to optimize the briquette production process by evaluating the effects of binder, biomass and clay. The SEM revealed heterogeneous microstructures with clay contributing to mechanical strength, biomass enhancing porosity, and Arabic gum providing cohesion. TGA showed thermal decomposition stages: drying (100–300 °C), devolatilization (300–420 °C), and char combustion (420–830 °C), with ignition, maximum, and burnout temperatures at 300 °C, 385 °C, and 420 °C, respectively. Proximate analysis reported moisture, ash, volatile matter, and fixed carbon contents as 4.67 %, 35.92 %, 45.33 %, and 40.96 %, respectively, while ultimate analysis revealed high carbon (53.32 %) and low sulfur (0.06 %). WBT efficiency ranged from 36 % to 72 %, with ΔT varying from 26 °C to 56 °C. SI ranged from 20 to 166.6, influenced by binder and clay ratios. Optimal briquettes achieved 56 min burning time and 1.8 min ignition time. The study demonstrates the potential of briquette for producing efficient, durable, and sustainable solid fuel for low to medium energy demand applications.

该研究旨在优化由树叶生物质、阿拉伯胶和粘土制成的型煤的组成和性能，以实现可持续和环保能源的应用。这项研究旨在解决从当地可用材料中开发可持续的高能量密度型煤的挑战，为能源生产提供传统燃料的环保替代品。采用扫描电镜（SEM）、热重分析（TGA）、近似分析和极限分析、沸水测试（WBT）和破碎指数（SI）测试对成型煤进行了分析。采用响应面法（RSM）对粘结剂、生物质和粘土的影响进行了优化。扫描电镜显示了不均匀的微观结构，粘土提高机械强度，生物量提高孔隙率，阿拉伯胶提供凝聚力。热重分析表明，热解阶段为干燥（100-300℃）、脱挥发（300 - 420℃）和炭燃烧（420 - 830℃），其着火温度为300℃，最高温度为385℃，燃尽温度为420℃。水分、灰分、挥发物和固定碳含量分别为4.67%、35.92%、45.33%和40.96%，而最终分析显示高碳（53.32%）和低硫（0.06%）。WBT效率范围从36%到72%，ΔT温度范围从26°C到56°C。受黏合剂和粘土配比的影响，SI值在20 ~ 166.6之间。最佳型煤的燃烧时间为56分钟，点火时间为1.8分钟。该研究表明，型煤具有生产高效、耐用和可持续的固体燃料的潜力，可用于低至中等能源需求的应用。

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引用次数: 0

First comparison of particulate sampling and quantification from a hydrogen refueling station and fuel cell electric vehicle 首先比较氢燃料站和燃料电池电动汽车的颗粒采样和定量

Measurement: Energy

Pub Date : 2025-12-01 Epub Date: 2025-09-10 DOI: 10.1016/j.meaene.2025.100065

Samuel Bates , Ziyin Chen , James Olden , Ward Storms , Delwar Hussain , Thomas Bacquart

Hydrogen fuel is foreseen as part of the energy transition towards green future. As part of hydrogen fuel quality, particulate mass fraction is essential to be monitored and maintained at a low level (<1 mg/kg). Particulate sampling has only been realised from the nozzle of hydrogen refueling stations (HRSs) in a limited occasion. Evaluating the presence of particulate within the fuel tank of a fuel cell electric vehicle (FCEV) provides an alternative approach to monitor particulate mass fraction and gain insights especially to link FCEV performance with particulate mass fraction. Within this activity, particulate mass determination from FCEV was compared with reference measurement of particulate from HRS. Two sampling systems, HYDAC and NPL low pressure particulate sampling system, measured particulate mass fraction in hydrogen fuel in almost repeatable condition before refueling of the FCEV and during the venting of the FCEV fuel tank. Both hydrogen fuel samples have particulate concentration below calculated limit of detection (LOD). This study provided the 1st agreement between the two strategies. Furthermore, realisation of these sampling methodologies reveals challenges for the standardization of particulate measurement.

氢燃料被预见为向绿色未来能源转型的一部分。作为氢燃料质量的一部分，颗粒质量分数必须被监测并保持在较低的水平（1mg /kg）。颗粒取样仅在有限的情况下从加氢站（HRSs）的喷嘴中实现。评估燃料电池电动汽车（FCEV）油箱内颗粒的存在，为监测颗粒质量分数提供了另一种方法，并获得了关于FCEV性能与颗粒质量分数之间关系的见解。在此活动中，FCEV的颗粒质量测定结果与HRS的参考测量结果进行了比较。两个采样系统，HYDAC和NPL低压颗粒采样系统，在FCEV加油前和FCEV燃料箱排气过程中，在几乎可重复的条件下测量氢燃料中的颗粒质量分数。两种氢燃料样品的颗粒浓度均低于计算检测限（LOD）。本研究提供了两种策略之间的第一个一致。此外，这些采样方法的实现揭示了颗粒测量标准化的挑战。

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引用次数: 0

Methods for detecting and quantifying hydrogen emissions over a wide range of temporal and spatial scales: a state-of-the-art review 在大范围的时间和空间尺度上检测和量化氢排放的方法：最新的回顾

Measurement: Energy

Pub Date : 2025-12-01 Epub Date: 2025-09-27 DOI: 10.1016/j.meaene.2025.100069

Andy Connor , Haydn Barros , Rod Robinson , Alessandro Guzzini , Marco Pellegrini , Cesare Saccani , Jadwiga Holewa-Rataj , Tomasz Kuchta , Henning Wigger , Thomas Vogt , Violeta Bescos Roy , Victoria Krohl

Hydrogen (H₂) is currently used in several industrial sectors. However, due to its potential contribution to climate neutrality, the H₂ market is expected to expand to other sectors in the near future. H₂ emissions pose a concern due to their potential influence on methane's atmospheric lifetime, therefore acting as an indirect greenhouse gas. Therefore, minimising H₂ emissions would reduce any environmental impact and enhance safety and efficiency of the H₂ value chain. Adopting measures to mitigate H₂ emissions requires data that can be trusted and are truly representative of the emissions being monitored. Such data require validated methods based on robust metrological principles. Standard methods are needed to detect and quantify emissions over a wide range of mass or volumetric ranges, spatial and temporal scales, and emission source types across the H₂ value chain. In addition, many instruments and associated techniques are available on the (and near to) market for detecting H₂ leaks or measuring its concentration, but their suitability depends on how the instrument is deployed and its technological performance. To date, no publication reviewing these aspects is available in the literature. To cover this gap, the present paper will provide a foundation for the future development of H₂ monitoring methods. The essential constituents of a method will be defined, an overview of different monitoring techniques provided, followed by a discussion on future method development. Examples of such monitoring techniques covered are sniffers, acoustic imaging and tracer correlation. It should be feasible to develop methods to monitor emissions at component level in the near future, while further technical development is required for methods that cover larger spatial scales.

氢（H2）目前用于几个工业部门。然而，由于其对气候中和的潜在贡献，预计氢气市场将在不久的将来扩展到其他行业。H2排放对甲烷的大气寿命有潜在影响，因此是一种间接温室气体，因此引起了人们的关注。因此，减少氢气排放将减少对环境的影响，并提高氢气价值链的安全性和效率。采取措施减少氢气排放需要可信的数据，并真正代表正在监测的排放。这些数据需要基于可靠的计量原理的验证方法。需要标准的方法来检测和量化整个氢气价值链中大范围的质量或体积范围、空间和时间尺度以及排放源类型的排放。此外，市场上（或接近）有许多仪器和相关技术可用于检测H2泄漏或测量其浓度，但它们的适用性取决于仪器的部署方式及其技术性能。到目前为止，文献中还没有评论这些方面的出版物。为了弥补这一空白，本文将为未来氢气监测方法的发展提供基础。将定义方法的基本组成部分，提供不同监测技术的概述，然后讨论未来的方法开发。这类监测技术包括嗅探器、声学成像和示踪剂相关。在不久的将来，制订监测各组成部分排放的方法应该是可行的，而覆盖更大空间尺度的方法则需要进一步的技术发展。

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引用次数: 0

Equations of overburden pressure at laboratory: an overburden pressure measurement method in core samples 实验室覆盖层压力方程：岩心样品覆盖层压力测量方法

Measurement: Energy

Pub Date : 2025-12-01 Epub Date: 2025-09-04 DOI: 10.1016/j.meaene.2025.100063

M. Karimi , Abbas Helalizadeh , Behruz Mirzayi , M. Reza Adelzadeh

This study proposes a laboratory-scale overpressure measurement equation to avoid the core damage caused by traditional trial-and-error methods, filling the gap in existing methods. To estimate the overburden pressure before any damage to the core sample, the lithology table was obtained via laboratory data and petrophysical and geological information obtained from the field for determining the grain and fracture situation in the core samples. Afterwards, the fluids were injected into the core samples placed inside the apparatus under overburden pressure 15.6 to 121

°C

by setting overburden pressure on various values (50–179 bar). The core samples utilized were mostly the two main groups of reservoir rocks, sand and dolomite/lime, or a combination of both with variable porosities (5–25 %), which whole data was obtained from the presented lithology table.

The experimental data was integrated with field data to obtain empirical equations to determine the value of overburden pressure in the cores with various porosities, considering the fluid and rock characteristics. An increase in the saturation of fluids (especially in water-bearing types), the densities of rocks and fluids, percentage of fractures (mostly in carbonate type), and the viscosity of fluids were along with an increment in the total overburden pressure exerted on the sample. Subsequently, this increment caused a reduction in permeability and damage to the core samples. Conversely, the increase of initial pore pressure (mostly in sandstone type) was along with a decline in overburden pressure, resulting in a significant decrease in permeability and more damage to the mostly-fragile under-pressure cores. The equations introduced here incorporated the effects of these variables and represented the behavior of porous media to raise the speed and accuracy of predicting overburden pressure in the laboratory.

本研究提出了一种实验室规模的超压测量方程，避免了传统试错方法对岩心造成的损伤，填补了现有方法的空白。为了估算岩心样品损伤前的覆盖层压力，通过实验室数据和现场获得的岩石物理地质信息，得到岩性表，确定岩心样品中的颗粒和裂缝情况。然后，通过设置不同的覆盖层压力值（50-179 bar），将流体注入放置在仪器内的岩心样品中，覆盖层压力为15.6至121℃。利用的岩心样品主要是储层岩石的两大类，砂岩和白云岩/灰岩，或两者的组合，孔隙度（5 - 25%）变化，全部数据来自所提供的岩性表。将实验数据与现场数据相结合，得到考虑流体和岩石特征的不同孔隙度岩心覆盖层压力值的经验方程。流体饱和度（特别是含水类型）、岩石和流体密度、裂缝百分比（主要是碳酸盐类型）和流体粘度随着施加在样品上的总覆盖层压力的增加而增加。随后，这种增加导致渗透率降低和岩心样品损坏。相反，初始孔隙压力的增加（主要是砂岩型）伴随着上覆岩压力的下降，导致渗透率显著下降，对大多脆弱的欠压岩心的破坏更大。本文引入的方程考虑了这些变量的影响，并代表了多孔介质的行为，以提高实验室预测覆盖层压力的速度和准确性。

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引用次数: 0

Optimal VAr management of a large power network using most efficient method of weak node detection 基于最有效的弱节点检测方法的大型电网无功管理

Measurement: Energy

Pub Date : 2025-12-01 Epub Date: 2025-11-12 DOI: 10.1016/j.meaene.2025.100077

Biplab Bhattacharyya, Suraj Kumar Rajbhar

A robust method for weak node detection for optimal VAr allocation has been proposed in this research. Modal or eigenvalue analysis, loss-sensitivity analysis, power flow analysis, L-index, and fast voltage stability index methods were employed to identify weak nodes in medium and large power networks using IEEE 57 and IEEE 118 bus systems. After identifying the locations for shunt VAr allocation, several standard optimization techniques i.e. Genetic Algorithm, Differential Evolution, Particle Swarm Optimization, Teaching-Learning-Based Optimization, Big Bang-Big Crunch, Krill Herd Algorithm, and Sine-Cosine Algorithm were then applied for optimal reactive power planning. These methods were aimed to coordinate VAr injections by shunt capacitors at weak nodes with existing VAr sources such as generators and On-Load Tap Changers. A comprehensive study of various standard detection techniques and their usefulness in power system planning is presented by the authors. Finally, authors deduced LSI (Line Stability Index) method of weak node detection was the most accurate method for weak node detection. Carrying out the proposed methodology, the total active power loss with GA & DE was found as 0.2348 p.u. & 0.2351 p.u. respectively for IEEE 57 bus test network and total operating cost was found as $1.2344 × 10⁷ for GA & $1.2357 × 10⁷ for DE. Similarly, for the IEEE 118-bus test network, the active power loss reported under GA and DE was 1.3295 p.u. each, with corresponding operating costs of $6.9885 × 10⁷ and $6.9880 × 10⁷, respectively. This research offers a comprehensive framework for reducing operating cost and active power loss in reactive power planning.

本文提出了一种鲁棒的弱节点检测方法，用于VAr最优分配。采用模态或特征值分析、损耗敏感性分析、潮流分析、l指数和快速电压稳定指数等方法，对采用ieee57和ieee118母线系统的大中型电网中的薄弱节点进行了识别。在确定并联无功功分配位置后，应用遗传算法、差分进化算法、粒子群算法、基于教学-学习的优化算法、大爆炸-大压缩算法、磷虾群算法和正弦-余弦算法等标准优化技术进行无功规划优化。这些方法旨在通过在弱节点的并联电容器与现有的无功源（如发电机和有载分接开关）协调无功注入。作者对各种标准检测技术及其在电力系统规划中的应用进行了全面研究。最后，推导出基于线路稳定指数的弱节点检测方法是最准确的弱节点检测方法。采用所提出的方法，IEEE 57总线测试网络在GA和DE下的总有功功率损耗分别为0.2348 p.u.和0.2351 p.u.，总运行成本为1.2344 × 107美元；对于IEEE 118总线测试网络，在GA和DE下报告的有功功率损耗分别为1.3295 p.u.，相应的运行成本分别为6.9885 × 107美元和6.9880 × 107美元。该研究为降低无功规划中的运行成本和有功损耗提供了一个全面的框架。

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引用次数: 0

Simulation modelling and thin layer drying kinetics of untreated pineapple using modified hybrid solar dryer with thermal storage 未经处理菠萝薄层干燥动力学及改良太阳能储热混合式干燥机的模拟建模

Measurement: Energy

Pub Date : 2025-12-01 Epub Date: 2025-11-03 DOI: 10.1016/j.meaene.2025.100070

E. Veeramanipriya , P. Manikandan , V.M. Senthilkumar

Energy utilization is an important indication of economic growth and has been directly related to energy consumption. In tropical countries like India, post-harvest losses on fresh perishable fruits are significant, resulting in recurring seasonal shortages. As a result, a modified evacuated tube collector (ETC) based hybrid photovoltaic thermal (PVT) passive-mode solar dryer equipped with sensible thermal storage material shortly called Modified Hybrid Solar Dryer (MHSD), is developed as a potential low-cost technology alternative for drying fruits in Southern region of India. This research compares the drying performance of MHSD and forced convection solar dryer (FCSD) dryers to that of the standard open sun drying (OSD) technique. Compared to the OSD technique, the economic performance of the MHSD and FCSD dryers is examined. The initial moisture content of pineapple slices is determined to be 91 % (wb). The safe moisture content is achieved in 8 h utilizing MHSD coupled with sensible heat storage material (SHSM), while FCSD and sun drying required 19 and 32 h, respectively. The introduction of SHSM improves the drying potential, resulting in a significant reduction in drying time. According to the statistical analysis of the data, the Midilli et al. model is determined to be the best fit to represent the drying kinetics of untreated pineapple slices in a modified hybrid solar dryer with SHSM, FCSD, and open sun drying. The experiment is conducted on three different drying techniques. The MHSD dryer utilises freely-available solar energy to dry the fruit crops. In contrast, the Forced Convection Solar Dryer (FCSD) uses both solar photovoltaic and electricity sources. The results showed that solar-dried pineapple in MHSD with SHSM is more effectively preserved without losing size, shape, colour, appearance, texture, flavour, and quality than solar-dried pineapple in FCSD or sun-dried pineapple pulp. The economic study of an ETC-based hybrid PVT passive-mode solar dryer with SHSM yields a payback period of two years, which is extremely short given the 25-year lifespan.

能源利用是经济增长的重要指标，与能源消费直接相关。在印度等热带国家，新鲜易腐水果的收获后损失很大，导致季节性短缺反复出现。因此，一种改进的真空管集热器（ETC）为基础的混合光伏热（PVT）被动式太阳能干燥器配备了显热储存材料，简称为改进的混合太阳能干燥器（MHSD），被开发为印度南部地区干燥水果的潜在低成本技术替代方案。本研究将MHSD和强制对流太阳干燥器（FCSD）干燥器的干燥性能与标准的开放式太阳干燥（OSD）技术进行了比较。对比OSD技术，考察了MHSD和FCSD干燥器的经济性能。确定菠萝片的初始含水量为91% （wb）。利用MHSD和显热储材料（SHSM）在8 h内达到安全含水率，而FCSD和晒干分别需要19和32 h。SHSM的引入提高了干燥潜力，从而显著缩短了干燥时间。通过对数据的统计分析，确定Midilli等人的模型最适合代表未经处理的菠萝片在SHSM、FCSD和开放式太阳干燥的改良混合太阳能干燥器中的干燥动力学。试验采用了三种不同的干燥工艺。MHSD干燥机利用免费的太阳能来干燥水果作物。相比之下，强制对流太阳能干燥机（FCSD）同时使用太阳能光伏和电力来源。结果表明，与FCSD或晒干菠萝果肉相比，在不损失大小、形状、颜色、外观、质地、风味和品质的情况下，添加SHSM的MHSD晒干菠萝更有效地保存了菠萝干。基于etc的混合PVT被动式太阳能干燥机与SHSM的经济研究产生了两年的投资回收期，考虑到25年的使用寿命，这是非常短的。

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引用次数: 0

Performance evaluation of CO2 reduction in green materials 绿色材料中二氧化碳减排的性能评价

Measurement: Energy

Pub Date : 2025-09-01 Epub Date: 2025-06-06 DOI: 10.1016/j.meaene.2025.100054

P. Manikandan , E. Veeramanipriya , S. Sumitha

The concrete sector has come under a greater microscope to lower its carbon dioxide emissions due to growing sustainability awareness. Most of the carbon dioxide emissions from the industry are caused by transporting materials and manufacturing Portland cement, the primary binder in concrete. To improve sustainability and achieve net-zero emissions by 2050, the industry has, nevertheless, made a number of hopeful moves in the last ten years. This study examines the permeability conduct of polymer E waste in concrete. Specifically, it finds that the optimal amount of fly ash content in concrete, regardless of the presence of recycled polymer E waste, reduces saturated water absorption and increases it as fly ash mixing increases. With an increase in fly ash and E waste, porosity and sorptivity are somewhat rising. Linear regression in IBM SPSS 23 Statistical analysis is used to demonstrate the compressive strength of the tests using a statistical software. The experimental value is compared with the predicted value using the relationship between the predicted and experimental values of recycled polymer E waste concrete to evaluate the percentage of error. This research examined how the construction industry addresses these sustainability challenges to raise awareness among its stakeholders and the industry itself also the present work is intended to describes the performance assessment and statistical analysis of green building materials (recycled polymer E waste concrete) with the mixture of fly ash and analyzing various characteristics for CO₂ reduction.

由于可持续发展意识的增强，混凝土行业受到了更大的关注，以降低二氧化碳排放。该行业的大部分二氧化碳排放是由运输材料和制造波特兰水泥造成的，波特兰水泥是混凝土的主要粘合剂。然而，为了提高可持续性并在2050年前实现净零排放，该行业在过去十年中采取了一些充满希望的举措。研究了聚合物E废弃物在混凝土中的渗透行为。具体而言，研究发现在不考虑再生聚合物E废弃物的情况下，混凝土中粉煤灰的最佳掺量会降低饱和吸水率，并随着粉煤灰掺量的增加而增加饱和吸水率。随着粉煤灰和电子垃圾的增加，孔隙率和吸附率有所上升。IBM SPSS 23中的线性回归使用统计分析来证明测试的抗压强度使用统计软件。利用再生聚合物E废混凝土预测值与预测值之间的关系，将实验值与预测值进行比较，评价误差百分比。本研究考察了建筑行业如何应对这些可持续性挑战，以提高其利益相关者和行业本身的认识，本研究还旨在描述绿色建筑材料（再生聚合物E废物混凝土）与粉煤灰混合物的性能评估和统计分析，并分析二氧化碳减排的各种特性。

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Special issue on “Measurements in advanced materials-based energy generation, storage and integrated devices” “基于先进材料的能源产生、储存和集成装置的测量”特刊

Measurement: Energy

Pub Date : 2025-09-01 Epub Date: 2025-07-10 DOI: 10.1016/j.meaene.2025.100058

Dr. Priyanka Verma (Lead Guest Editor), Dr. Santanu Das, Dr. Sudhagar Pitchaimuthu

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