Sustainable Energy Technologies and Assessments最新文献_第8页

A high-frequency reduced-order model for parameters optimization of AC/DC distribution systems considering random disturbances 考虑随机干扰的交直流配电系统参数优化高频降阶模型

IF 7.1 2区工程技术 Q1 ENERGY & FUELS

Sustainable Energy Technologies and Assessments

Pub Date : 2024-09-30 DOI: 10.1016/j.seta.2024.103969

Songhan Jiang, Ke Peng, Xueshen Zhao, Jiajia Chen, Yan Jiang, Yuxin Liu

Accompanying the rapid development of AC/DC distribution systems, along with the random disturbances introduced by a significant number of distributed generations and loads, the difficulty of system stability analysis has increased. The phenomenon of DC bus voltage instability has become severe, affecting the safe and stable operation of power systems. This paper focuses on the research of multi-terminal AC/DC distribution systems. A reduced-order method for multi-terminal distribution systems is proposed. Through parameter equivalent transformation, the system model is simplified while maintaining its dynamic characteristics. Parameter sensitivity analysis is utilized to identify key parameters influencing the system’s dynamic behavior, achieving an analytical expression of the system’s dynamic characteristics. And stability domain analysis is applied to delineate the variations in system dynamic behavior and responses to random disturbances under different parameter settings. Then a multi-parameter optimization method is designed to enhance system stability while achieving fast system response. Finally, theoretical analysis is validated through software simulation and hardware-in-the-loop experiments.

随着交直流配电系统的快速发展，以及大量分布式发电和负载带来的随机扰动，系统稳定性分析的难度也随之增加。直流母线电压不稳定现象变得严重，影响了电力系统的安全稳定运行。本文重点研究多端交直流配电系统。提出了多端配电系统的降阶方法。通过参数等效变换，简化了系统模型，同时保持了其动态特性。利用参数敏感性分析确定影响系统动态行为的关键参数，实现系统动态特性的分析表达。稳定域分析用于描述不同参数设置下系统动态行为的变化以及对随机干扰的响应。然后设计了一种多参数优化方法，以增强系统稳定性，同时实现快速系统响应。最后，通过软件仿真和硬件在环实验验证了理论分析。

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引用次数: 0

Modeling and optimization of biomethanation of rice straw with biochar supplementation using response surface methodology and machine learning 利用响应面方法学和机器学习对添加生物炭的稻草生物甲烷化进行建模和优化

IF 7.1 2区工程技术 Q1 ENERGY & FUELS

Sustainable Energy Technologies and Assessments

Pub Date : 2024-09-28 DOI: 10.1016/j.seta.2024.104006

Sachin Krushna Bhujbal, Pooja Ghosh, Virendra Kumar Vijay

Anaerobic digestion (AD) of lignocellulosic wastes offers sustainable waste management with the production of renewable energy and nutrient-rich bio-slurry. However, the chemical recalcitrant structure of lignocellulosic waste hinders its hydrolysis and biomethanation under AD. Biochar addition has been reported to alleviate toxicity inhibition and improve the degradability of lignocellulosic wastes, biogas and methane yield, and stability of the AD process. Therefore, in this study, substrate loading (% total solids (TS)), inoculum loading (% TS), and biochar dosage (w/v%) were optimized to maximize the methane yield by using central composite design (CCD) based response surface methodology (RSM) and genetic algorithm (GA). The second-order quadratic model was established by CCD-RSM, which revealed the notable interaction between substrate loading and biochar dosage (p-value < 0.0001) and between inoculum loading and biochar dosage (p-value < 0.05). Based on the root mean square error (RMSE) and coefficient of determination (R²) values, the cumulative methane yield (CMY) prediction performance of the artificial neural network (ANN) (RMSE = 0.876, R² = 0.9894) was more reliable and accurate than CCD-RSM (RMSE = 3.34, R² = 0.9956). The GA optimal conditions showed 8.6% higher methane yield (293.7 ± 7.26 mL/g VS) than the CCD-RSM (270.2 ± 10.69 mL/g VS). The methane yield obtained at optimal conditions of GA was 54.9% higher than the control. The CCD-RSM and ANN-GA can also be used for process modeling and optimization in other contexts. The optimal outcomes obtained in this study could pave the way for the prediction and operation of continuous AD of rice straw supplemented with additives such as biochar for large-scale bioenergy production.

对木质纤维素废物进行厌氧消化（AD）可以生产可再生能源和营养丰富的生物泥浆，从而实现可持续废物管理。然而，木质纤维素废物的化学难降解结构阻碍了其在厌氧消化过程中的水解和生物甲烷化。有报道称，添加生物炭可减轻毒性抑制，提高木质纤维素废物的降解性、沼气和甲烷产量以及厌氧消化（AD）工艺的稳定性。因此，在本研究中，采用基于响应面方法学（RSM）和遗传算法（GA）的中心复合设计（CCD）优化了基质添加量（总固体百分比（TS））、接种物添加量（TS 百分比）和生物炭用量（w/v%），以最大化甲烷产量。通过 CCD-RSM 建立的二阶二次模型显示，基质负荷与生物炭用量之间存在显著的交互作用（p 值为 0.0001），接种物负荷与生物炭用量之间也存在显著的交互作用（p 值为 0.05）。根据均方根误差（RMSE）和决定系数（R2）值，人工神经网络（ANN）的累积甲烷产量（CMY）预测性能（RMSE = 0.876，R2 = 0.9894）比 CCD-RSM （RMSE = 3.34，R2 = 0.9956）更可靠、更准确。GA 最佳条件下的甲烷产量（293.7 ± 7.26 mL/g VS）比 CCD-RSM 高 8.6%（270.2 ± 10.69 mL/g VS）。在 GA 最佳条件下获得的甲烷产量比对照组高 54.9%。CCD-RSM 和 ANN-GA 也可用于其他情况下的工艺建模和优化。本研究获得的最佳结果可为大规模生物能源生产中添加生物炭等添加剂的水稻秸秆连续厌氧消化（AD）的预测和操作铺平道路。

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引用次数: 0

A Methodological Framework for the development of a hybrid renewable energy system with seawater Pumped storage Hydropower system under uncertainty in Karystos, Greece 希腊卡里斯托斯不确定情况下开发海水抽水蓄能水电混合可再生能源系统的方法框架

IF 7.1 2区工程技术 Q1 ENERGY & FUELS

Sustainable Energy Technologies and Assessments

Pub Date : 2024-09-28 DOI: 10.1016/j.seta.2024.104002

S. Skroufouta, A. Mavrogiannis, E. Baltas

The need to minimize energy reliance and its repercussions and accretive water scarcity necessitates research into renewable energy resources. Hybrid renewable energy systems are an apparent solution for areas and countries like Greece, especially when combined with seawater-pumped storage hydropower systems, where wind potential and topography foster such approaches. Moreover, it is essential to understand the uncertainty of the involved natural processes and incorporate their stochasticity in these hybrid systems, moving towards a more realistic approach. This system is simulated under uncertainty and has a total capacity of 31.5 MW and aims to cover the water and energy needs of Karystos, combining 9 wind turbines of 3.5 MW each, a desalination plant of 9,600 m³/day, a desalinated water tank with a capacity of 100,000 m³, a 9 MW pumping station, and a seawater pumped storage hydropower system with a 1.7 hm³ storage tank. Some promising results of this system under study are 99 % reliability for drinking water needs and 63 % and 85 % for irrigation and energy needs respectively, with the wind park contributing 54.4 % and the hydropower system 31.3 %.

由于需要最大限度地减少对能源的依赖及其造成的影响，以及水资源的日益匮乏，因此有必要对可再生能源进行研究。对于像希腊这样的地区和国家来说，混合可再生能源系统显然是一种解决方案，尤其是与海水抽水蓄能水力发电系统相结合时，因为希腊的风能潜力和地形有利于采用这种方法。此外，有必要了解相关自然过程的不确定性，并将其随机性纳入这些混合系统中，从而采用更加现实的方法。该系统是在不确定性条件下模拟的，总容量为 31.5 兆瓦，旨在满足卡里斯托斯的水和能源需求，由 9 台各 3.5 兆瓦的风力涡轮机、一个每天 9,600 立方米的海水淡化厂、一个容量为 100,000 立方米的淡化水箱、一个 9 兆瓦的泵站和一个容量为 1.7 立方米的海水抽水蓄能水电系统组成。研究中的这一系统的一些可喜成果是，饮用水需求的可靠性为 99%，灌溉和能源需求的可靠性分别为 63% 和 85%，其中风力园的贡献率为 54.4%，水力发电系统的贡献率为 31.3%。

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引用次数: 0

A self-powered and self-sensing hybrid energy harvester for freight trains 用于货运列车的自供电和自感应混合能量收集器

IF 7.1 2区工程技术 Q1 ENERGY & FUELS

Sustainable Energy Technologies and Assessments

Pub Date : 2024-09-27 DOI: 10.1016/j.seta.2024.104004

Lei Zeng , Jie Zhao , Hongjie Tang , Zutao Zhang , Xiaoping Wu , Dabing Luo , Yingjie Li , Weizhen Liu , Daning Hao , Zheng Fang

Freight trains, being crucial for economic development, often face challenges due to the lack of electrical infrastructure. In this study, a self-powered and self-sensing hybrid energy harvester system (SS-HEH) is proposed, it consists of an electromagnetic generator (EMG), a piezoelectric energy harvester (PEH), and an energy input module. The proposed EMG utilizes a rolling magnet to intersect the square coil, thereby better adapting to the operational conditions of freight trains and producing higher electrical energy output. Additionally, the PEH converts bogie vibration signals into electrical signals to detect bogie operations. The EMG acts on the PEH, inducing bending and generating electrical signals. Conversely, the PEH acts on the EMG to maintain it horizontally, enhancing its ability to absorb the vibration energy of the bogie and forming a bistable system. Furthermore, at a speed of 40 km/h, the EMG voltage with PEH increased by 43.75 % compared to the scenario without PEH. The electrical performance of the SS-HEH was assessed through shake table experiments, yielding an RMS voltage of 11.5 V and output power of 74.1 mW. In addition, combined with deep learning, SS-HEH has an accuracy of 97.41 % in detecting the operating status of bogie.

货运列车对经济发展至关重要，但由于缺乏电力基础设施，货运列车经常面临挑战。本研究提出了一种自供电和自感应混合能量收集器系统（SS-HEH），它由电磁发电机（EMG）、压电能量收集器（PEH）和能量输入模块组成。拟议的电磁发电机利用滚动磁铁与方形线圈相交，从而更好地适应货运列车的运行条件，并产生更高的电能输出。此外，PEH 将转向架振动信号转换为电信号，以检测转向架的运行情况。EMG 作用于 PEH，引起弯曲并产生电信号。相反，PEH 作用于 EMG，使其保持水平，从而增强其吸收转向架振动能量的能力，并形成一个双稳态系统。此外，在时速 40 公里的情况下，带 PEH 的 EMG 电压比不带 PEH 的情况增加了 43.75%。通过振动台实验评估了 SS-HEH 的电气性能，其有效值电压为 11.5 V，输出功率为 74.1 mW。此外，结合深度学习，SS-HEH 在检测转向架运行状态方面的准确率达到 97.41%。

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引用次数: 0

Advancing sustainable energy systems: A decade of SETA research contribution to sustainable development goals 推进可持续能源系统：SETA 十年来为可持续发展目标所做的研究贡献

IF 7.1 2区工程技术 Q1 ENERGY & FUELS

Sustainable Energy Technologies and Assessments

Pub Date : 2024-09-27 DOI: 10.1016/j.seta.2024.103978

Raghu Raman , Debidutta Pattnaik , Chandan Kumar , Prema Nedungadi

Sustainable Energy Technologies and Assessments (SETA) publishes high-quality research on sustainable energy technologies and is indexed in all leading search engines. The journal is highly influential among its peers, with an impact factor of 8.0 and a CiteScore of 8.4. It appears among the top 50 in Scopus’s energy engineering and power technology category and features among the top 20 in Google Scholar’s notable sustainable energy publications list. The SETA’s multidisciplinary approach fosters collaboration and innovation in addressing sustainable energy challenges. Our comprehensive study of the journal examines its contribution to the Sustainable Development Goals (SDGs), particularly SDG 7 (Affordable and Clean Energy) and SDG 13 (Climate Action). Employing a novel methodological approach, we used a cocitation network to identify key SDG-focused research clusters within SETA. This was complemented by keyword co-occurrence and BERTopic modeling to reveal distinct thematic clusters and latent topics, marking first in the journal’s analysis. This research underscores SETA’s critical role in addressing global energy challenges and climate change through innovations in power generation, advanced storage technologies, and photovoltaic modeling strategies. These contributions significantly increase the efficiency and reliability of renewable energy systems and facilitate their integration into existing power grids. Furthermore, our analysis delves into advancements in biodiesel, hydrogen production, and solar thermal technologies, emphasizing the importance of clean energy in reducing environmental impacts. Wind energy and forecasting technologies also receive attention, highlighting the importance of technological precision in optimizing the role of wind power in the energy mix. This study also proposes future directions for research, including international cooperation and climate finance, to foster a more sustainable and equitable global energy landscape.

可持续能源技术与评估》（SETA）发表有关可持续能源技术的高质量研究成果，并被所有主要搜索引擎收录。该期刊在同行中极具影响力，影响因子为 8.0，CiteScore 为 8.4。在 Scopus 的能源工程和电力技术分类中，该期刊名列前 50 位，在 Google Scholar 的著名可持续能源出版物列表中名列前 20 位。SETA 的多学科方法促进了在应对可持续能源挑战方面的合作与创新。我们对该期刊的全面研究探讨了它对可持续发展目标（SDGs）的贡献，尤其是对可持续发展目标 7（负担得起的清洁能源）和可持续发展目标 13（气候行动）的贡献。我们采用了一种新颖的方法论，利用共生网络来识别 SETA 中以可持续发展目标为重点的关键研究集群。此外，我们还利用关键词共现和 BERTopic 模型揭示了独特的主题集群和潜在主题，这在期刊分析中尚属首次。这项研究强调了SETA通过在发电、先进存储技术和光伏建模策略方面的创新，在应对全球能源挑战和气候变化方面所发挥的关键作用。这些贡献大大提高了可再生能源系统的效率和可靠性，并促进了它们与现有电网的整合。此外，我们还深入分析了生物柴油、制氢和太阳能热技术的进步，强调了清洁能源在减少环境影响方面的重要性。风能和预测技术也受到了关注，强调了技术精度在优化风能在能源组合中的作用方面的重要性。本研究还提出了未来的研究方向，包括国际合作和气候融资，以促进更加可持续和公平的全球能源格局。

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引用次数: 0

New energy products going global: The impact of digital transformation amid trade frictions 新能源产品走向世界：贸易摩擦中数字化转型的影响

IF 7.1 2区工程技术 Q1 ENERGY & FUELS

Sustainable Energy Technologies and Assessments

Pub Date : 2024-09-26 DOI: 10.1016/j.seta.2024.104009

Boqiang Lin, Qianxiang Zhang

New energy industry is the key field in which China has suffered from trade frictions. It remains to be explored whether digital transformation can enhance export resilience and alleviate the negative shock of trade frictions. Based on the export data of new energy products, this paper uses a panel two-way fixed effects model to explores whether digital transformation can alleviate the negative shock of trade frictions on the exports of new energy products. We find that (1) trade frictions lead to an average decrease of 11.45% in the export value of new energy enterprises and an average increase of 0.84% in the probability of exiting the export market. (2) Digital transformation can buffer the negative shock of trade frictions. For enterprises undergoing digital transformation, the negative shock of trade frictions on exports are relatively limited. (3) Mechanism test indicates that digital transformation accelerates the export products conversion and export markets transfer, thereby alleviating the negative shock of trade frictions. From the digital transformation perspective, this paper provides targeted policy implications for enhancing the export resilience of new energy enterprises and forming a sustained buffering mechanism to alleviate trade friction shocks.

新能源产业是中国遭遇贸易摩擦的重点领域。数字化转型能否增强出口韧性，缓解贸易摩擦的负面冲击，仍有待探索。本文基于新能源产品的出口数据，采用面板双向固定效应模型，探讨数字化转型能否缓解贸易摩擦对新能源产品出口的负面冲击。我们发现：（1）贸易摩擦导致新能源企业出口额平均下降 11.45%，退出出口市场的概率平均上升 0.84%。(2）数字化转型可以缓冲贸易摩擦的负面冲击。对于进行数字化转型的企业而言，贸易摩擦对出口的负面冲击相对有限。(3）机制检验表明，数字化转型加速了出口产品转换和出口市场转移，从而缓解了贸易摩擦的负面冲击。本文从数字化转型的角度，为增强新能源企业出口韧性，形成持续缓冲机制，缓解贸易摩擦冲击提供了有针对性的政策启示。

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引用次数: 0

Enhancing clean energy access in decentralized communities through novel design of solar thermal collector: Experimental validation through intermediate temperature cooking 通过太阳能集热器的新颖设计，提高分散社区的清洁能源普及率：通过中温烹饪进行实验验证

IF 7.1 2区工程技术 Q1 ENERGY & FUELS

Sustainable Energy Technologies and Assessments

Pub Date : 2024-09-26 DOI: 10.1016/j.seta.2024.103988

Atul A. Sagade , Eduardo Gálvez , Abhishek Saxena , Oscar Núñez Martínez , Basim Belgasim

The present work reveals a solar thermal collector’s (STC) novel design and its use for intermediate-temperature solar cooking. The main aim of the work is to demonstrate the usefulness of the proposed collector in attaining intermediate temperatures for decentralized energy applications, providing multiple sustainable energy solutions. The opto-thermal performance of the STC for cooking is evaluated using thermal performance parameter (TPP) based testing and rating. The impact of design-induced change on the performance is assessed by testing two configurations of STC for cooking. The effective concentration ratio (C_eff) is estimated using the thermal method. The levelized cost of solar-cooked meals (LCSCM) demonstrates the techno-economic feasibility of the proposed collector for cooking.

The results showed that the value TPP, cooker opto-thermal ratio (COR) for the first and second configurations are 0.116 and 0.108 (m²·°C)/W, respectively. Also, the value of C_eff is 1.074. The LCSCM value for the best configuration is 0.0323 USD/Ml.

Therefore, the present work provides valuable insights into developing and testing an efficient design of STC for multiple applications and provides recommendations for its future use for several other applications, such as drying, air and water heating, and a few more.

本研究揭示了太阳能集热器（STC）的新颖设计及其在中温太阳能烹饪中的应用。这项工作的主要目的是证明所提议的集热器在实现分散能源应用的中间温度方面的实用性，从而提供多种可持续能源解决方案。通过基于热性能参数（TPP）的测试和评级，对用于烹饪的 STC 的光热性能进行了评估。通过测试烹饪用 STC 的两种配置，评估了设计引起的变化对性能的影响。使用热法估算了有效浓度比 (Ceff)。结果表明，第一种和第二种配置的 TPP 值和炊具光热比 (COR) 分别为 0.116 和 0.108（m2-°C）/W。此外，Ceff 值为 1.074。最佳配置的 LCSCM 值为 0.0323 美元/毫升。因此，本研究为开发和测试适用于多种应用的高效 STC 设计提供了有价值的见解，并为今后将其用于干燥、空气和水加热等其他应用提供了建议。

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引用次数: 0

Modeling concentrating solar power plants in power system optimal planning and operation: A comprehensive review 电力系统最佳规划和运行中的聚光太阳能发电厂建模：全面回顾

IF 7.1 2区工程技术 Q1 ENERGY & FUELS

Sustainable Energy Technologies and Assessments

Pub Date : 2024-09-25 DOI: 10.1016/j.seta.2024.103992

Yang Wang , Shuyu Luo , Lingxiang Yao , Ershun Du , Zhiwen Guan , Xianyong Xiao

The increasing integration of intermittent renewable energy sources has significantly intensified the demand for flexible resources. In this context, concentrating solar power (CSP) stands poised to play a critical role due to its controllable and dispatchable capabilities. However, the dearth of guidelines for modeling CSP in power system optimal planning and operation hinders accurate characterization of CSP’s operational properties. This paper proposes a novel modeling framework to guide the representation of CSP in different planning and operation scenarios. Firstly, multi-type CSP models are summarized and compared thoroughly in terms of application scenarios and levels of detail. Subsequently, the state-of-the-art development of optimal planning and operation for CSP in high renewable energy penetrated power systems are reviewed from three topics: topological structure and optimal sizing, system expansion planning, and optimal operation scheduling. Next, the CSP modeling approach applicable to the specific research problem under each topic is clarified. It is indicated that energy flow models are the predominant modeling approach for CSP. Finally, recommendations for future research are proposed to pave the way for further advancement in CSP modeling and optimization.

间歇性可再生能源的日益融合大大增加了对灵活资源的需求。在这种情况下，聚光太阳能发电（CSP）因其可控和可调度的能力，将发挥至关重要的作用。然而，在电力系统的优化规划和运行中，缺乏对聚光太阳能发电建模的指导，这阻碍了对聚光太阳能发电运行特性的准确描述。本文提出了一个新颖的建模框架，以指导在不同规划和运行方案中对 CSP 的表述。首先，本文总结了多种类型的 CSP 模型，并从应用场景和详细程度两方面进行了深入比较。随后，从拓扑结构和优化规模、系统扩展规划和优化运行调度三个主题回顾了可再生能源渗透率高的电力系统中 CSP 优化规划和运行的最新发展。接下来，阐明了适用于每个主题下特定研究问题的 CSP 建模方法。研究表明，能量流模型是 CSP 的主要建模方法。最后，提出了未来研究的建议，为进一步推进 CSP 建模和优化铺平了道路。

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引用次数: 0

Sustainable seawater desalination through solar and wind energy integration with automated control: Experimental investigation 通过太阳能和风能集成及自动控制实现可持续海水淡化：实验研究

IF 7.1 2区工程技术 Q1 ENERGY & FUELS

Sustainable Energy Technologies and Assessments

Pub Date : 2024-09-24 DOI: 10.1016/j.seta.2024.103990

A.A. Hussien , Ahmed A. Salem , Swellam W. Sharshir , Tamer Nabil

The study investigates the efficiency of a hybrid solar still/reverse osmosis (RO) distillation system that is driven via wind turbines and photovoltaic (PV) panels. A self-automated control system was implemented to manage the system’s operations in real-time, ensuring robust performance. The PV panels are equipped with an automated cooling system. Solar stills are incorporated into the system with preheating and cover cooling mechanisms to maximize freshwater production. Furthermore, the RO unit is continuously fed by preheated water resulting from the PV and solar still cooling. This innovative system design allows for the utilization of both solar and wind energy, with wind turbines providing continuous power generation to ensure uninterrupted operation of the desalination process. Results show that implementing a cooling system for PV panels led to a significant improvement in efficiency. Furthermore, solar stills with preheating and cover cooling demonstrated superior freshwater production rates, achieving a remarkable 21.89 % increase over conventional systems, with daily water production increasing from 3.06 to 3.73 L/m². Similarly, RO-PV sees a notable increase in daily yield from 73.62 to 86.98 L/m², accompanied by a reduction in specific energy consumption from 2.35 to 1.99 kWh/m³. The RO-wind system exhibits enhanced daily yield, rising from 198.04 to 210.92 L/m² and decreasing specific energy consumption from 2.62 to 2.46 kWh/m³.

该研究调查了通过风力涡轮机和光伏（PV）板驱动的混合太阳能蒸馏器/反渗透（RO）蒸馏系统的效率。该系统采用了一套自控系统，用于实时管理系统的运行，确保系统性能稳定。光伏板配有自动冷却系统。系统中的太阳能蒸馏器配有预热和覆盖冷却机制，以最大限度地提高淡水产量。此外，反渗透装置可持续获得光伏和太阳能蒸馏器冷却产生的预热水。这种创新的系统设计可同时利用太阳能和风能，风力涡轮机可持续发电，确保海水淡化过程不间断运行。结果表明，光伏电池板冷却系统的实施大大提高了效率。此外，采用预热和覆盖冷却的太阳能蒸馏器显示出卓越的淡水生产率，比传统系统显著提高了 21.89%，日产水量从 3.06 升/平方米增加到 3.73 升/平方米。同样，反渗透-光伏系统的日产量从 73.62 升/平方米显著增加到 86.98 升/平方米，比能耗从 2.35 千瓦时/立方米减少到 1.99 千瓦时/立方米。反渗透-风力系统的日产量有所提高，从 198.04 升/平方米上升到 210.92 升/平方米，比能耗从 2.62 千瓦时/立方米下降到 2.46 千瓦时/立方米。

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引用次数: 0

Predictive and correlational analysis of heating energy consumption in four residential apartments with sensitivity analysis using long Short-Term memory and Generalized regression neural network models 利用长短期记忆和广义回归神经网络模型对四栋住宅公寓的供暖能耗进行预测和相关分析以及敏感性分析

IF 7.1 2区工程技术 Q1 ENERGY & FUELS

Sustainable Energy Technologies and Assessments

Pub Date : 2024-09-23 DOI: 10.1016/j.seta.2024.103976

Moon Keun Kim , Bart Cremers , Nuodi Fu , Jiying Liu

The aim of this study is to explore several approaches to analyze how local weather conditions, indoor CO₂ levels, and façade opening ratios affect the heating energy usage of a residential structure. To achieve this, the study uses two techniques: long short-term memory and Generalized Regression Neural Network methods. By applying these methods, the study suggests methods to predict the impact factors and evaluate the strength of their correlation with the actual heating energy consumed by the building. The study used both LSTM and GRNN algorithms to forecast the performance of heating energy usages in residential buildings using mechanical and natural ventilation systems. The results described that both models had low average error rates, ranging from 3.36% to 6.12%. However, the LSTM model had a better correlation with measured data. The examination of impact factor indicated that outside thermal and humidity factor had the most primarily influences for heating energy usage, while other environmental factors also significantly affected the residential building’s performance. Solar irradiance, wind velocity, and façade opening ratio had limitations in influencing heating performance because occupants may find it challenging to adjust ventilation rates in extreme weather conditions. Additionally, these factors could not affect heating energy consumption independently.

本研究旨在探索几种方法，以分析当地天气条件、室内二氧化碳水平和外墙开口率如何影响住宅结构的采暖能耗。为此，研究采用了两种技术：长短期记忆法和广义回归神经网络法。通过应用这些方法，研究提出了预测影响因素的方法，并评估了这些因素与建筑物实际采暖能耗的相关性。该研究使用 LSTM 和 GRNN 算法来预测使用机械和自然通风系统的住宅楼的供热能耗性能。结果表明，两种模型的平均误差率都很低，在 3.36% 到 6.12% 之间。不过，LSTM 模型与测量数据的相关性更好。对影响因素的研究表明，外部热量和湿度因素对采暖能耗的影响最大，而其他环境因素也对住宅建筑的性能有显著影响。太阳辐照度、风速和外墙开口率对采暖性能的影响有限，因为在极端天气条件下，居住者可能会发现调整通风率很困难。此外，这些因素无法单独影响供暖能耗。

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