Developing the ecological compensation criterion of industrial solid waste based on emergy for sustainable development

Cai, Wei; Liu, Conghu; Zhang, Cuixia; Ma, Minda; Rao, Weizhen; Li, Wenyi; He, Kang; Gao, Mengdi

doi:10.1016/j.energy.2018.05.207

Cited by 131 publications

(52 citation statements)

References 42 publications

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“…Manufacturing industry, as an important part of the national industry, consumes a large portion of energy in the total energy consumption [1], and also results in serious environmental pollution in the transformation process from manufacturing resources to products [2]. The investigation shows that energy consumption of the United States is the largest, and energy consumption of its manufacturing industry accounts for about 20% of the total, S. Korea accounts for about 55% [3].…”

Section: Introductionmentioning

confidence: 99%

A Novel Method of Sustainability Evaluation in Machining Processes

et al. 2019

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In order to quantitatively evaluate and improve the sustainability of machining systems, this paper presents an emergy (the amount of energy consumed in direct and indirect transformations to make a product or service) based sustainability evaluation and improvement method for machining systems, contributing to the improvement of energy efficiency, resource efficiency and environmental performance, and realizing the sustainability development. First, the driver and challenge are studied, and the scope and hypothesis of the sustainable machining system are illustrated. Then, the emergy-based conversion efficiency model is proposed, which are (1) effective emergy utilization rate (EEUR), (2) emergy efficiency of unit product (EEUP) and (3) emergy conversion efficiency (ECE), to measure and evaluate the sustainable machining system from the perspectives of energy, resource and environment. Finally, the proposed model is applied to a vehicle-bridge machining process, and the results show that this paper provides the theoretical and method support for evaluating and improving the sustainable machining processes to decouple the resources and development of the manufacturing industry.

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Section: Introductionmentioning

confidence: 99%

A Novel Method of Sustainability Evaluation in Machining Processes

et al. 2019

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“…The productivity, cost and quality pursued by the traditional production process are obviously not enough but the characteristic target of green manufacturing: environmental impact and resource consumption should be considered as important factors. How to determine the ecological compensation criterion reasonably have been recognized as a problem of improving the environment performance [22]. At present, the research mainly focuses on analyzing and evaluating the influence of resource environment consumed in the machining process [23,24] and establishing the evaluation model of resource environment property [25,26].…”

Section: Introductionmentioning

confidence: 99%

A Composite Evaluation Model of Sustainable Manufacturing in Machining Process for Typical Machine Tools

Deng

Liu

et al. 2019

Processes

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Machine tool is the basic manufacturing equipment in today's mechanical manufacturing industry. A considerable amount of energy and carbon emission are consumed in machining processes, the realization of sustainable manufacturing of machine tools have become an urgent problem to be solved in the field of industry and academia. Therefore, five types of machine tools were selected for the typical machining processes (turning, milling, planning, grinding and drilling). Then the model of the energy efficiency, carbon efficiency and green degree model were established in this paper which considers the theory and experiment with the resource, energy and emission modeling method. The head frame spindle and head frame box were selected to verify the feasibility and practicability of the proposed model, based on the orthogonal experiment case of the key machining process. In addition, the influence rules of machining parameters were explored and the energy efficiency and green degree of the machine tools were compared. Finally, the corresponding strategies for energy conservation and emission reduction were proposed.

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“…Many scholars have carried out research on the optimization of the manufacturing process or system, and discussion on the connotation of energy efficiency of manufacturing systems [10][11][12][13][14][15][16]. Cai et al [17,18] proposed a new concept of entitled, lean, energy-saving, emission reduction and fine energy consumption allowance. Greinacher S. et al [19] focused on the identification of a cost-optimized combination of lean and green strategies with regard to green targets.…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Parameter Optimization Dynamic Model of Grinding Processes for Promoting Low-Carbon and Low-Cost Production

Sun

Gong

et al. 2019

Processes

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Grinding is widely used in mechanical manufacturing to obtain both precision and part requirements. In order to achieve carbon efficiency improvement and save costs, carbon emission and processing cost models of the grinding process are established in this study. In the modeling process, a speed-change-based adjustment function was introduced to dynamically derive the change of the target model. The carbon emission model was derived from the grinding force using regression. Considering the constraints of machine tool equipment performance and processing quality requirements, the grinding wheel's linear velocity, cutting feed rate, and the rotation speed of the workpiece were selected as the optimization variables, and the improved NSGA-II algorithm was applied to solve the optimization model. Finally, fuzzy matter element analysis was used to evaluate the most optimal processing plan.

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Developing the ecological compensation criterion of industrial solid waste based on emergy for sustainable development

Cited by 131 publications

References 42 publications

A Novel Method of Sustainability Evaluation in Machining Processes

A Novel Method of Sustainability Evaluation in Machining Processes

A Composite Evaluation Model of Sustainable Manufacturing in Machining Process for Typical Machine Tools

Multi-Objective Parameter Optimization Dynamic Model of Grinding Processes for Promoting Low-Carbon and Low-Cost Production

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