Sustainable Operations and Computers最新文献

A short term multistep forecasting model for photovoltaic generation using deep learning model 基于深度学习模型的光伏发电短期多步预测模型

Sustainable Operations and Computers

Pub Date : 2024-11-14 DOI: 10.1016/j.susoc.2024.11.003

Lakshmi P. Dinesh, Nameer Al Khafaf, Brendan McGrath

Developed countries have substantial investments in renewable energy currently, particularly Photovoltaics (PV), for achieving net-zero emissions. But PV generation is highly volatile and hence achieving supply-demand balance is challenging. Robust forecasting models will help PV integration and penetration into the grid, making sure that there is an adequate supply to match the demand, ensuring reliability and stability of power systems. In this paper, a deep learning model is developed for PV generation multistep forecasting using a small subset of weather variables with a 15-minute resolution, with very low computation time. The forecasts very closely align with the actual generation, with a Normalized Mean Absolute Error (nMAE) of 0.04, much less than 1 kWh in terms of error in forecast generation. Direct and multioutput forecasting are combined here. Comparisons with Long Short Term Memory (LSTM) and Gated Recurrent Unit (GRU) show performance improvement, by

\sim

15% compared to LSTM and

\sim

17% compared to GRU in terms of average nMAE. The model can be used in urban environments for short term forecasting. Also, if an accurate forecast is available, PV asset owners can plan their generation better when they export power back into the grid, make better bids in the energy markets, increase their revenues and eventually increase the share of renewables in the energy market.

为了实现净零排放，发达国家目前在可再生能源，特别是光伏（PV）方面进行了大量投资。但光伏发电极不稳定，因此实现供需平衡具有挑战性。强大的预测模型将有助于光伏发电的整合和渗透到电网中，确保有足够的供应来满足需求，确保电力系统的可靠性和稳定性。在本文中，开发了一个深度学习模型，用于光伏发电多步预测，使用一小部分天气变量，具有15分钟的分辨率，计算时间非常短。预测与实际发电量非常接近，标准化平均绝对误差（nMAE）为0.04，就预测发电量的误差而言，远小于1千瓦时。本文将直接预测和多输出预测相结合。与长短期记忆（LSTM）和门控循环单元（GRU）的比较显示，在平均nMAE方面，与LSTM相比，性能提高了~ 15%，与GRU相比，性能提高了~ 17%。该模型可用于城市环境的短期预报。此外，如果有准确的预测，光伏资产所有者可以在向电网输出电力时更好地规划发电，在能源市场上做出更好的出价，增加收入，最终增加可再生能源在能源市场上的份额。

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引用次数: 0

Green hydrogen as a sustainable operations strategy: A socio-economic perspective 绿色氢作为可持续运营战略：社会经济视角

Sustainable Operations and Computers

Pub Date : 2024-11-06 DOI: 10.1016/j.susoc.2024.11.002

Francesco Bonesso , Idiano D'Adamo , Massimo Gastaldi , Marco Giannini

Hydrogen is an energy carrier that can support the development of sustainable and flexible energy systems. However, decarbonization can occur when green sources are used for energy production and appropriate water use is manifested. This work aims to propose a socio-economic analysis of hydrogen production from an integrated wind and electrolysis plant in southern Italy. The estimated production amounts to about 1.8 million kg and the LCOH is calculated to be 3.60 €/kg in the base scenario. Analyses of the alternative scenarios allow us to observe that with a high probability the value ranges between 3.20–4.00 €/kg and that the capacity factor is the factor that most affects the economic results. Social analysis, conducted through an online survey, shows a strong knowledge gap as only 27.5 % claim to know the difference between green and grey hydrogen. There is a slight propensity to install systems near their homes, but this tends to increase due to increased knowledge on the topic. Respondents state sustainable behaviours, and this study suggests that these aspects should also be transformed into the energy choices that are implemented every day. The study suggests information to policy-makers, businesses and citizens as it outlines that green hydrogen is an operations strategy that moves toward sustainable development.

氢是一种能源载体，可以支持可持续和灵活的能源系统的发展。然而，当绿色能源被用于能源生产并体现出适当的用水时，脱碳就会发生。这项工作旨在对意大利南部一家综合风力和电解工厂的氢气生产进行社会经济分析。估计产量约为180万公斤，在基本方案中，LCOH计算为3.60欧元/公斤。对备选方案的分析使我们能够观察到，该值很可能在3.20-4.00欧元/公斤之间，并且容量系数是最影响经济结果的因素。通过在线调查进行的社会分析显示，只有27.5%的人声称知道绿色氢和灰色氢的区别，这表明知识差距很大。有一个轻微的倾向，安装系统在他们的家附近，但这往往会增加，由于对这个主题的知识增加。受访者陈述了可持续的行为，这项研究表明，这些方面也应该转化为每天实施的能源选择。该研究向政策制定者、企业和公民提供了信息，因为它概述了绿色氢是一种走向可持续发展的运营战略。

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引用次数: 0

A stochastic sustainable Closed-Loop Supply Chain Networks for used solar photovoltaic systems: Meta-heuristic comparison and real case study 二手太阳能光伏系统的随机可持续闭环供应链网络：启发式比较与实际案例研究

Sustainable Operations and Computers

Pub Date : 2024-11-02 DOI: 10.1016/j.susoc.2024.11.001

Peiman Ghasemi , Syed Mithun Ali , Milad Abolghasemian , Reza Ahmadi Malakoot , Adel Pourghader Chobar

This research presents a novel approach to setting up a sustainable Closed-Loop Supply Chain (CLSC) network for used solar photovoltaic (PV) systems, addressing end-of-life product waste from solar panel installations and manufacturing centers. The model accounts for uncertainties in PV systems and aims to efficiently collect, refurbish, and recycle used solar PV systems, promoting a circular and environmentally responsible waste management strategy. The supply chain network comprises vendors, collection centers, hybrid centers, distribution centers, and manufacturing centers, with objectives to maximize total profit, minimize environmental risk, and maximize service levels by demonstrating the profitable reuse of used solar photovoltaic systems by manufacturers. The epsilon-constraint method is utilized to handle the model's multi-objectiveness and identify Pareto optimal solutions. A case study in Iran is conducted to validate the methodology's performance, comparing results obtained from three meta-heuristic methods: Non-Dominated Sorting Genetic Algorithm-II (NSGA-II), Multi-Objective Particle Swarm Optimization (MOPSO), and Multi-Objective Gray Wolf Optimization (MOGWO). The average error rates are 0.0358 for MOGWO, 0.1248 for MOPSO, and 0.2066 for NSGA-II. Sensitivity analysis highlights the significant impact of demand variations on all objective functions. Lastly, the numerical results are discussed to provide managerial insights for informed decision-making.

本研究提出了一种为废旧太阳能光伏（PV）系统建立可持续闭环供应链（CLSC）网络的新方法，解决了太阳能电池板安装和制造中心的报废产品浪费问题。该模型考虑了光伏系统的不确定性，旨在有效地收集、翻新和回收废旧太阳能光伏系统，促进循环和对环境负责的废物管理战略。供应链网络由供应商、收集中心、混合中心、配送中心和制造中心组成，其目标是通过展示制造商对二手太阳能光伏系统的可盈利再利用，实现总利润最大化、环境风险最小化和服务水平最大化。利用约束方法处理模型的多目标性，识别Pareto最优解。通过对三种元启发式方法（non - dominant Sorting Genetic Algorithm-II, NSGA-II）、多目标粒子群优化（multiobjective Particle Swarm Optimization， MOPSO）和多目标灰狼优化（multiobjective grey Wolf Optimization， MOGWO）的结果进行比较，验证了该方法的有效性。MOGWO的平均错误率为0.0358，MOPSO为0.1248，NSGA-II为0.2066。敏感性分析强调了需求变化对所有目标函数的显著影响。最后，讨论了数值结果，为知情决策提供管理见解。

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引用次数: 0

Design and optimization of a pharmaceutical supply chain network under COVID-19 pandemic disruption COVID-19 大流行干扰下的药品供应链网络设计与优化

Sustainable Operations and Computers

Pub Date : 2024-01-01 DOI: 10.1016/j.susoc.2024.04.002

Reza Rajabi, Elham Shadkam, Seyed Mohammad Khalili

Efficient management of pharmaceutical supply chains during the COVID-19 pandemic is critical to mitigate material and human losses. This paper addresses the design of a pharmaceutical supply chain network under pandemic disruption, introducing a novel bi-objective mathematical model. Traditional supply chain management strategies often fall short in the face of sudden disruptions, necessitating the development of resilient systems. Our model seeks to minimise economic costs and shortages as primary objectives, addressing the specific challenge of sudden surges in demand for pharmaceuticals. To enhance resilience, we propose solutions including the establishment of temporary distribution points and the creation of backup inventory. We employ a scenario-based, discrete, and linear modelling approach, solving the model using goal-planning methods and validating its efficacy through numerical examples. Additionally, we conduct a case study in the metropolitan area of Mashhad, further demonstrating the applicability and effectiveness of our approach. This research contributes to the advancement of resilient supply chain design in the pharmaceutical sector, offering insights that can inform improved management practices and bolster resilience in pharmaceutical supply chains.

在 COVID-19 大流行期间，有效管理药品供应链对于减少物质和人员损失至关重要。本文引入了一个新颖的双目标数学模型，探讨了在大流行中断情况下的药品供应链网络设计问题。传统的供应链管理策略往往无法应对突如其来的中断，因此有必要开发弹性系统。我们的模型以最大限度地降低经济成本和减少短缺为首要目标，以应对药品需求突然激增这一特殊挑战。为了提高复原力，我们提出了包括建立临时配送点和创建备用库存在内的解决方案。我们采用基于情景的离散线性建模方法，使用目标规划方法解决模型问题，并通过数值示例验证其有效性。此外，我们还在马什哈德大都市区进行了案例研究，进一步证明了我们方法的适用性和有效性。这项研究有助于推动医药行业弹性供应链设计的发展，为改进管理实践和提高医药供应链的弹性提供了启示。

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引用次数: 0

Eco-label strategy selection for green product development in supply chain 供应链中绿色产品开发的生态标签战略选择

Sustainable Operations and Computers

Pub Date : 2024-01-01 DOI: 10.1016/j.susoc.2023.12.003

Gaoxiang Lou , Ying Zhang , Haicheng Ma , Xuechen Tu , Yi-Ming Wei

In a supply chain where a supplier and a manufacturer engage in green innovation activities, we apply the Stackelberg game to investigate the influence of consumer trust and consumer green awareness on supply chain performance when employing self-labeling and certification label strategies. Our research delves into the optimal eco-label strategy through comparative analysis, resulting in the following key points: (1) Under the certification label strategy, the manufacturer and supply chain profits may decrease in consumer green awareness. (2) The manufacturer tends to choose self-labeling strategy, but the supplier has higher profits under certification label strategy. (3) The social welfare under the certification label is greater than that of self-labeling when the cost of certification and consumer trust are low. Further, we extend the certification label from single level to multi-level, and found that when the cost coefficient of manufacturer's green investment is high, a high-level certification may be disadvantageous for the manufacturer. In addition, when consumer trust and cost coefficient of manufacturer's green investment are both low, the manufacturer is more likely to preferentially choose multi-level certification label over self-labeling.

在供应商和制造商共同参与绿色创新活动的供应链中，我们运用斯塔克尔伯格博弈研究了在采用自我标签和认证标签策略时，消费者信任和消费者绿色意识对供应链绩效的影响。我们的研究通过比较分析深入探讨了最优生态标签策略，得出以下要点：（1）在认证标签策略下，制造商和供应链的利润可能会随着消费者绿色意识的提高而降低。(2）制造商倾向于选择自我标签策略，但供应商在认证标签策略下有更高的利润。(3）当认证成本和消费者信任度较低时，认证标签下的社会福利大于自我标签下的社会福利。此外，我们将认证标签从单级扩展到多级，发现当制造商的绿色投资成本系数较高时，高级认证可能对制造商不利。此外，当消费者信任度和制造商绿色投资成本系数都较低时，制造商更倾向于选择多级认证标签而非自我标签。

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引用次数: 0

A systematic review of life cycle assessments of 3D concrete printing 三维混凝土打印生命周期评估系统回顾

Sustainable Operations and Computers

Pub Date : 2024-01-01 DOI: 10.1016/j.susoc.2023.08.003

Arash Motalebi, Mohammad Abu Hasan Khondoker, Golam Kabir

The construction industry plays a crucial role in shaping our built environment, and it is imperative to adopt more sustainable and innovative practices, technologies, and tools to minimize the environmental impact. Recently, 3D printing technology has emerged as the main element of the fourth industrial revolution, Industry 4.0 which offers numerous benefits in manufacturing, including complete design freedom, savings in materials and time, enhanced efficiency, and so on. This novel technology is positively impacting various industries, including automotive, aerospace, biomedical, and now the construction industry as well. The present study aims to investigate the ecological impacts of 3D concrete printing (3DCP) by conducting a comprehensive literature review of the published articles that focused on the life cycle assessment of 3DCP-processed units. The objective was to identify current trends, areas of study that require further attention, and opportunities to lower energy consumption and environmental impacts. The literature review found that 3DCP associates with a significant reduction in global warming potential when compared to traditional construction using ordinary Portland cement-based concrete. From the life cycle analysis for 3D printed concrete performed in some articles, this review has identified opportunities to enhance the durability of 3DCP by using non-traditional materials. Additionally, improving the energy efficiency of the printing system and optimizing the structural design of printed structures can further enhance their environmental performance.

建筑业在塑造我们的建筑环境方面发挥着至关重要的作用，因此必须采用更具可持续性和创新性的做法、技术和工具，以最大限度地减少对环境的影响。最近，3D 打印技术已成为第四次工业革命（工业 4.0）的主要元素，它为制造业带来了诸多好处，包括完全自由设计、节省材料和时间、提高效率等。这项新技术对汽车、航空航天、生物医学等各行各业都产生了积极影响，现在建筑业也不例外。本研究旨在调查三维混凝土打印（3DCP）对生态环境的影响，方法是对已发表的关注 3DCP 加工单元生命周期评估的文章进行全面的文献综述。目的是确定当前的趋势、需要进一步关注的研究领域以及降低能耗和环境影响的机会。文献综述发现，与使用普通波特兰水泥基混凝土的传统建筑相比，3DCP 可显著降低全球变暖潜势。从一些文章对 3D 打印混凝土进行的生命周期分析中，本综述发现了通过使用非传统材料提高 3DCP 耐久性的机会。此外，提高打印系统的能效和优化打印结构的结构设计也能进一步提高其环保性能。

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引用次数: 0

Joint production and sustainability investment decisions for a risk-averse manufacturer under a Cap-and-trade policy 碳排放交易政策下风险规避型制造商的联合生产和可持续发展投资决策

Sustainable Operations and Computers

Pub Date : 2024-01-01 DOI: 10.1016/j.susoc.2024.06.003

Hongling Lu , Qingguo Bai , Fanwen Meng

This study considers a risk-averse manufacturer that invests in sustainability technology to reduce carbon emissions under a cap-and-trade policy. In this study, stochastic demand is initially modeled as a linear function of both the sales price and sustainability level. Employing the newsvendor model framework, the objective of the risk-averse manufacturer is assessed using a mean-variance approach. By analyzing serval optimal properties of the joint operational decisions, this study provides the closed-form solutions of the sales price and sustainability level. This study further provides several numerical examples to illustrate the theoretical results and investigates the impacts of the major parameter on the operations of the risk-averse manufacturer.

本研究考虑了一家规避风险的制造商，该制造商在限额交易政策下投资于可持续发展技术以减少碳排放。在本研究中，随机需求最初被模拟为销售价格和可持续性水平的线性函数。采用新闻供应商模型框架，使用均值-方差方法对风险规避型制造商的目标进行评估。通过分析联合运营决策的几个最优属性，本研究提供了销售价格和可持续性水平的闭式解。本研究还提供了几个数值示例来说明理论结果，并研究了主要参数对风险规避型制造商运营的影响。

引用次数: 0

A systematic literature review to examine the role of additive manufacturing in achieving sustainable development goals 系统性文献综述，研究增材制造在实现可持续发展目标方面的作用

Sustainable Operations and Computers

Pub Date : 2024-01-01 DOI: 10.1016/j.susoc.2024.08.001

Abdul Faheem , Mohd Asif Hasan , Gaurav Kumar Badhotiya , Syed Mithun Ali

This study is an exhaustive investigation into the role of additive manufacturing in achieving sustainable development goals (SDGs). Due to its compatibility with intricate structures, additive manufacturing is widely utilised in a variety of industry sectors. This paper intends to examine the various opportunities and significance of additive manufacturing for the advancement of the SDGs. In addition, a number of engineering materials referred to as metals and alloys, ceramics, polymers, and composites are the subject of extensive research to enhance the role of additive manufacturing in the attainment of SDGs. This study demonstrates that sustainable development via additive manufacturing can be achieved through the route of: (a) circular economy, (b) life cycle assessment, (c) environmental aspects, and (d) recycled materials. Preferred Reporting Items for Systematic Reviews and Meta Analysis (PRISMA) framework is utilized to perform a systematic literature review. Despite the fact that the research demonstrates a clear improvement in waste reduction, environmental friendliness, and energy consumption reduction, it cannot be denied that significant progress remains to be made in these areas.

本研究详尽调查了增材制造在实现可持续发展目标（SDGs）方面的作用。由于增材制造与复杂结构的兼容性，增材制造被广泛应用于各行各业。本文旨在研究增材制造对推进可持续发展目标的各种机遇和意义。此外，一些工程材料，如金属和合金、陶瓷、聚合物和复合材料，也是广泛研究的主题，以加强增材制造在实现可持续发展目标中的作用。本研究表明，通过增材制造实现可持续发展的途径包括：（a）循环经济；（b）生命周期评估；（c）环境方面；以及（d）回收材料。系统综述和元分析首选报告项目（PRISMA）框架用于进行系统文献综述。尽管研究表明在减少废物、环境友好和降低能耗方面有了明显改善，但不可否认的是，在这些领域仍有待取得重大进展。

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引用次数: 0

Green technology innovation guiding policies under the synergy of government and financial institutions 政府和金融机构协同作用下的绿色技术创新引导政策

Sustainable Operations and Computers

Pub Date : 2024-01-01 DOI: 10.1016/j.susoc.2024.09.003

Yanhong Ma , Hui Zhao

Guiding enterprises towards green technology innovation (GTI) is a pivotal strategy for mitigating pollution and energy wastage, thereby facilitating the transition towards a green and low-carbon economy. In order to solve the single irrationality of the existing guidance policy and improve its implementation effect, parameters of environmental regulation and green credit policy are hereby introduced to construct a tripartite evolutionary game model of the government, financial institutions, and enterprises. The evolutionary stability of the government and financial institutions in guiding enterprises' GTI is analyzed. Simulation analysis method is used to visualize the evolution path of the game system under different policy options. The study results show that increasing interest rate subsidies can promote the financial institutions and the government to formulate GTI guidance policies. Besides, there is a significant synergistic effect between interest rate subsidies and green credits, which can efficiently foster GTI within enterprises and decrease their innovation costs. Building on this foundation, further increasing the carbon tax rate can lead to a reduction in government subsidy expenditures, improve the evolution rate of the ideal strategy, and expedite the realization of a green, low-carbon transformation.

引导企业进行绿色技术创新（GTI）是减少污染和能源浪费、促进向绿色低碳经济转型的重要战略。为解决现有引导政策的单一不合理性，提高其实施效果，本文引入环境规制和绿色信贷政策参数，构建政府、金融机构和企业三方演化博弈模型。分析了政府和金融机构在引导企业 GTI 过程中的演化稳定性。采用仿真分析方法直观地展示了不同政策选择下博弈系统的演化路径。研究结果表明，增加利率补贴可以促进金融机构和政府制定 GTI 引导政策。此外，利率补贴与绿色信贷之间存在明显的协同效应，可以有效促进企业内部的 GTI，降低企业的创新成本。在此基础上，进一步提高碳税率可以减少政府补贴支出，提高理想战略的演进速度，加快实现绿色低碳转型。

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引用次数: 0

Sustainable CNC machining operations, a review 可持续数控加工操作，回顾

Sustainable Operations and Computers

Pub Date : 2024-01-01 DOI: 10.1016/j.susoc.2024.01.001

Mohsen Soori , Fooad Karimi Ghaleh Jough , Roza Dastres , Behrooz Arezoo

To minimize the quantities of carbon emissions produced by the production process, sustainable manufacturing should be implemented. CNC machining operations can be made more sustainable by optimizing machining parameters to reduce material waste and energy consumption. In order to achieve sustainable CNC machining operations, cutting tool paths can be optimized. Investing in energy-efficient CNC machines can significantly reduce energy consumption to minimize the negative impact of CNC machining operations. Virtual simulation and analysis of CNC machining operations can be used to identify areas where sustainable practices can be implemented in order to reduce waste and improve efficiency during machining operations. The study aims to provide a comprehensive overview of the current state of sustainable CNC machining practices by summarizing the latest research and developments in this field. It identifies the economic and environmental benefits of sustainable CNC machining, such as reduced operational costs, improved resource utilization, and compliance with environmental regulations. It offers insights into the latest advancements, practices, and future prospects, encouraging manufacturers to embrace sustainable CNC machining as a pivotal step towards a greener and more efficient manufacturing ecosystem. Thus, the efficiency and product safety of the process of producing parts with CNC machine tools can be improved.

为了最大限度地减少生产过程中产生的碳排放量，应实施可持续生产。可以通过优化加工参数来减少材料浪费和能源消耗，从而使数控加工操作更具可持续性。为了实现可持续的数控加工操作，可以优化切削刀具路径。投资高能效数控机床可大幅降低能耗，从而将数控加工操作的负面影响降至最低。数控加工操作的虚拟仿真和分析可用于确定可实施可持续实践的领域，从而在加工操作过程中减少浪费和提高效率。本研究旨在通过总结该领域的最新研究和发展，全面概述可持续数控加工实践的现状。它指出了可持续数控加工的经济和环境效益，如降低运营成本、提高资源利用率和遵守环境法规。报告深入分析了最新进展、实践和未来前景，鼓励制造商将可持续数控加工作为实现更环保、更高效制造生态系统的关键一步。这样，使用数控机床生产零件的过程的效率和产品安全性就能得到提高。

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引用次数: 0