Emergy-based evaluation and improvement for sustainable manufacturing systems considering resource efficiency and environment performance

Liu, Conghu; Cai, Wei; Jia, Shi; Zhang, Mingyu; Guo, Huanyin; Hu, Lei; Jiang, Zhigang

doi:10.1016/j.enconman.2018.09.039

Cited by 68 publications

(30 citation statements)

References 63 publications

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“…It mainly improves the manufacturing system from the perspective of lean energy saving and emission reduction, but lacks accurate measurement model and evaluation index system, and does not discuss the conversion efficiency of the manufacturing system (as showed in Figure 6). Compared with the sustainable measurement and evaluation of reference [47,52], the method proposed in this paper has the following advantages:…”

Section: Resultsmentioning

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: Resultsmentioning

confidence: 99%

A Novel Method of Sustainability Evaluation in Machining Processes

et al. 2019

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“…Zhang and Long () assessed the ESI values of bioethanol and biodiesel from soybean and biodiesel from vegetable oil, which are near one, and they suggested that a shift to alternative processes to produce biofuel from crop in accordance with the sustainable development is imperative. Liu et al () used ESI to evaluate the sustainability performance of a manufacturing system and assess the improvement in sustainability based on the application of an improvement benchmarking card for manufacturing systems. Wang et al () applied ESI to compare the sustainable development capacity of cement pavement and permeable brick pavement during the construction and operation period.…”

Section: Methodsmentioning

confidence: 99%

“…Otherwise, the situation is entirely reversed. ESI < 1 is a consumer economic system, and 1 < ESI is a dynamic system and has development potential (Liu et al, 2018;Pang, Zhang, Wang, & Liu, 2013;Wang et al, 2019;Zhang & Long, 2010).…”

Section: Assessment On Sustainable Developmentmentioning

confidence: 99%

“…Liu et al (2018) used ESI to evaluate the sustainability performance of a manufacturing system and assess the improvement in sustainability based on the application of an improvement benchmarking card for manufacturing systems Wang et al (2019). applied ESI to compare the sustainable development capacity of cement pavement and permeable brick pavement during the construction and operation period.…”

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confidence: 99%

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Sustainable development and green gross domestic product assessments in megacities based on the emergy analysis method—A case study of Wuhan

Wei

Liu

et al. 2019

Sustainable Development

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Globally, cities are generally facing challenges of sustainable development, and this is particularly true in megacities. To reveal the relationship between economy and ecology, green gross domestic product (GDP) represents the ideology and requirements of sustainable development. In this study, emergy analysis theory is introduced to the green GDP accounting system and to a sustainable development evaluation framework using Wuhan City from 1994 to 2015 as a case study. The results show that (a) the green GDP increases as traditional GDP grows year by year, indicating the improvement of the sustainability development of Wuhan. (b) In terms of green GDP contributing factors, the proportion of nonrenewable energy in traditional GDP decreased from 11.91% to 5.31%, reflecting remarkable progresses in the promotion of saving energy. (c) In terms of the sustainability dynamic assessment, result greater than one for the Emergy Sustainability Index implies the economic system of Wuhan following a trajectory of sustainable development, but the downward trend of the Environment Index of Sustainable Development in recent years indicates thatWuhan needs to improve its socioeconomic performance. Based on the emergy analysis, this study provides a theoretical framework for investigating and assessing the temporal characteristics of green GDP accounting, urban sustainability assessment, and inhibiting factors in the progress of sustainability. Empirical findings provide theoretical support and policy recommendations for the promotion of urban sustainable development.

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“…Mikhaylidi et al in [38] suggested an approach based on dynamic programming to generate an energy consumption schedule that indicates both the time and the amount of electrical energy used by each operation at each time period. In the context of sustainability in manufacturing systems, an evaluation and improvement approach was suggested by Liu et al [39] to enhance the performance of the production system and the resources efficiency while considering environmental constraints.…”

Section: Static Energy Efficient Scheduling Methodsmentioning

confidence: 99%

Towards Energy Efficient Scheduling of Manufacturing Systems through Collaboration between Cyber Physical Production and Energy Systems

2019

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Currently, enhancing sustainability, and in particular reducing energy consumption, is a huge challenge for manufacturing enterprises. The vision of the fourth industrial revolution (so-called “industry 4.0”) is not only to optimize production and minimize costs, but also to reduce energy consumption and enhance product life-cycle management. To address this challenge, a multi-agent architecture aimed at elaborating predictive and reactive energy-efficient scheduling through collaboration between cyber physical production and energy systems is proposed in this paper. Smart, sustainable decision tools for cyber physical production systems (CPPS) and cyber physical energy systems (CPES) are proposed. The decision tools are data-driven, agent-based models with dynamic interaction. The main aim of agent behaviours in the cyber part of CPPS is to find a predictive and reactive energy-efficient schedule. The role of agents in CPES is to control the energy consumption of connected factories and switch between the different renewable energy sources. Dynamic mechanisms in CPPS and CPES are proposed to adjust the energy consumption of production systems based on the availability of the renewable energy. The proposed approach was validated on a physically distributed architecture using networked embedded systems and real-time data sharing from connected sensors in each cyber physical systems. A series of instances inspired from the literature were tested to assess the performance of the proposed method. The results prove the efficiency of the proposed approach in adapting the energy consumption of connected factories based on a real-time energy threshold.

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Emergy-based evaluation and improvement for sustainable manufacturing systems considering resource efficiency and environment performance

Cited by 68 publications

References 63 publications

A Novel Method of Sustainability Evaluation in Machining Processes

A Novel Method of Sustainability Evaluation in Machining Processes

Sustainable development and green gross domestic product assessments in megacities based on the emergy analysis method—A case study of Wuhan

Towards Energy Efficient Scheduling of Manufacturing Systems through Collaboration between Cyber Physical Production and Energy Systems

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