Multi-objective optimization of an integrated energy system against energy, supply-demand matching and exergo-environmental cost over the whole life-cycle

Chen, Yuzhu; Xu, Zhicheng; Wang, Jun; Lund, Peter; Han, Yifeng; Cheng, Tanghua

doi:10.1016/j.enconman.2021.115203

Cited by 52 publications

(6 citation statements)

References 35 publications

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“…For example, a study by Wang et al (2022) found that environmentally conscious sourcing practices can reduce greenhouse gas emissions in the supply chain. Another study demonstrated that eco‐efficient logistics practices, such as reducing transportation distances and optimizing loading patterns, can reduce energy consumption and improve resource efficiency in the supply chain (Chen et al, 2022). The study advances the body of literature by studying the influence of SSCM practices and their dimensions on the firm's environmental performance, which is measured using environmental impact and environmental cost savings.…”

Section: Literature Reviewmentioning

confidence: 99%

Role of sustainable supply chain management practices in boosting environmental performance: Empirical evidence from the textile sector of developing economies

Rasheed,

Zaheer,

Hassan

et al. 2023

Geological Journal

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The global climate crisis hampers emerging economies, hindering textile manufacturers from implementing innovative measures to address climate change impacts in their daily operations amidst a complex and dynamic business environment. The key focus of the current study is to investigate the impact of sustainable supply chain management (SSCM) practices on the operational, organizational and environmental performance of textile firms. Data from 210 textile firms in a developing country context severely impacted by climate change and global warming was collected using cluster sampling for the study. The study shows that implementing SSCM practices can improve operational efficiency and organizational and environmental performance. Furthermore, the findings indicate that environmental goals (environmental cost savings and environmental impact) can be enhanced by implementing proper SSCM practices through operational excellence. In conclusion, this study offers implications for managers and insights to policymakers and managers of the textile industry.

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Section: Literature Reviewmentioning

confidence: 99%

Role of sustainable supply chain management practices in boosting environmental performance: Empirical evidence from the textile sector of developing economies

Rasheed,

Zaheer,

Hassan

et al. 2023

Geological Journal

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“…Exergy can represent the "quantity" as well as the "quality" of energy. We introduce an energy quality system to measure the losses in each energy source's conversion process and determine the utilization of each energy source, i.e., exergy efficiency (Chen et al, 2022). The inverse of exergy efficiency is used as the optimization objective in the following equation:…”

Section: Exergy Targetmentioning

confidence: 99%

Optimal scheduling of integrated energy systems with exergy and demand responsiveness

Zhang,

Wang,

Wang

et al. 2023

Front. Energy Res.

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To fairly use demand response to regulate customer load , support the economic and environmental protection, and assess the quantity and quality of the synergistic growth of the integrated energy system, a multi-objective optimum scheduling model and a solution method considering exergy efficiency and demand response are presented. To begin with, a mathematical model of each energy gadget is created. The electricity–gas load demand response model is then built using the price elasticity matrix, while the cooling load demand response model is built taking into account the user’s comfort temperature. On this basis, a multi-objective optimal dispatching model is developed with the optimization goals of minimizing system operation costs, reducing carbon emissions, and increasing exergy efficiency. Finally, the model is solved using NSGA-II to produce the Pareto optimal frontier solution set in various situations, and the VIKOR decision procedure is utilized to identify the complete best dispatching solution. The simulation results suggest that the proposed model can match the system’s scheduling needs in terms of numerous objectives such as economy, environmental protection, and exergy efficiency while also assuring user’s comfort.

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“…Product lifecycle management (PLM) integrates product characteristics, derivative information, design solutions, process planning, and professional knowledge and applies these factors to product business competition, functionality enhancement, stability analysis, customer opinion analysis, marketing forecasts, etc. After completing a product cycle, it can return to cost estimation for new products, which can assist business owners in making decisions [1][2][3]. Similarly to Industry 4.0, the digitization of all data related to product lifecycle management will allow for a variety of analyses and restructuring, which will benefit traditional industries through the introduction of process automation and increased process intelligence.…”

Section: Introductionmentioning

confidence: 99%

Classification of 3D Casting Models for Product Lifecycle Management and Corporate Sustainability

Chen,

Wu,

Lin

2023

Sustainability

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The purpose of this study was to combine simulations and experiments in order to present the first stage of construction in product lifecycle management. Based on the simplification of casting models, the relationship between the filling and solidification characteristics, casting methods, and geometrical classifications of aluminum alloy precision casting products was investigated. By rearranging and summarizing the data, the casting models could be digitally managed; moreover, the digitized data could be used as the basis for intelligent processes in further developments. The simulations calculated and analyzed the casting speeds, defect locations, material densities, and critical fraction of a solid A356 aluminum–silicon alloy; the actual casting was carried out and samples were taken for metallographic observation to confirm the simulation results. The part model was simplified with four basic geometric shapes: solid cylinder, tubular, block rectangle, and thin-shell rectangle. The 150 casting models were summarized using 37 combinations, which were further classified into five main categories to match the casting method: solid cylindrical, tubular, and thin-shell rectangular for side casting, and discoidal and plate rectangular for bottom casting. File-compression rates of up to 75% were achieved after classification and archiving, and data integrity was maintained. Finally, model training using random forest classification resulted in an 88.8% accuracy when predicting the casting method. This research is based on the practical issues raised by business owners and R&D engineers, and a solution was obtained. From the perspective of product lifecycle management, the results of this study show the consistency and uniformity of product design rules, as well as the reusability of product process planning, which can be integrated with carbon emissions trading and carbon taxes to save energy and achieve corporate sustainability.

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Multi-objective optimization of an integrated energy system against energy, supply-demand matching and exergo-environmental cost over the whole life-cycle

Cited by 52 publications

References 35 publications

Role of sustainable supply chain management practices in boosting environmental performance: Empirical evidence from the textile sector of developing economies

Role of sustainable supply chain management practices in boosting environmental performance: Empirical evidence from the textile sector of developing economies

Optimal scheduling of integrated energy systems with exergy and demand responsiveness

Classification of 3D Casting Models for Product Lifecycle Management and Corporate Sustainability

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