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This paper analysed and summarised the significant research outputs published on the environmental impact assessment of mining and mineral processing industries through life cycle assessment. The paper presents valuable insights in identifying the gaps, where should the focus be in the mining and mineral processing industries for a sustainable future. Mining and mineral processing industries have been the key focus of research in many countries due to its increasing sustainability concerns that affect global warming and climate change. Use of heavy equipment that consumes electrical energy, mechanical energy, and an enormous amount of process heat is a key contributor to the overall impacts in the industry. Due to the use of heavy equipment and associated energy consumption, these industrial sectors contribute notably to global warming, human health, ecosystems, and resources. Among the various environmental impact assessment tools which are widely used to identify sustainability indicators, life cycle assessment (LCA) is a well-justified approach among the practitioners and researchers. Though state of the art technological tools and resources are being used now a days, there is still a research gap in identifying the key mining processes which need to be the focus of attention. Renewable energy integration in the mineral processing sector and process heating from green energy sources is becoming the emergent field of research. The review results reveal, the assessment indicators in human health and ecosystems are key factors that are mostly missing in the previous studies which are crucial for people or community living nearby mining area. This review paper identifies the research gaps to the existing literature that can form the base for future research direction in the field of LCA and sustainable energy integration in mining and mineral processing industries. • A review based on life cycle assessment studies in mining and mineral processing. • 16 metal mining industries are reviewed. • Summarised key factors of environmental effects using LCA. • Future research directions are highlighted. [ABSTRACT FROM AUTHOR]

As the path of industrial eco-efficiency (IEE) needs to be re-examined from a multi-dimensional perspective, this research opens the internal "black box" of China's industrial eco-economic system driven by sustainable development goals (SDGs) and decomposes IEE into industrial production and sustainable development stages. It further divides the industrial production stage into two parallel subsystems of water use efficiency (WUE) and energy efficiency (EE) and derives SDG6 efficiency (SDG 6 E) and SDG7 efficiency (SDG 7 E) in the sustainable development stage respectively. The paper proposes a meta two-stage parallel entropy dynamic DDF-DEA model to re-measure IEE of 30 provinces in China from 2015 to 2021, discusses the relationship between overall efficiency and stage efficiency, and by using the Tobit model explores various types of influencing factors by subregion. The results show that the modified DDF-DEA model can explore China's IEE more accurately under SDGs. China's IEE is more stable from 2015 to 2021, with the efficiency value always fluctuating between 0.59 and 0.64, the overall level is low, and there is more room for improvement. There are significant inter-provincial differences in IEE and efficiency inertia. In more than 75% of the provinces SDG 7 E constrains IEE improvement, while the dynamic evolution of IEE and its subsystem efficiency varies across regions. Environmental regulation is a common factor affecting IEE across the country and in the east, central, and west regions, whereas the level of economic development, openness to the outside world, and urbanization rate are differential factors affecting IEE across the country and in the three major regions. This study offers new perspectives for exploring the path of IEE enhancement and providing empirical references for the collaborative construction of industrial ecological civilization. [Display omitted] [ABSTRACT FROM AUTHOR]

The huge energy consumption and high pollutants emission have restrained the sustainable development of China's iron and steel industry. It is very necessary to explore those underlying obstacles which hinder the sustainable development of this industry from a systematic point. This paper adopted an improved emergy based method and a set of indicator system to evaluate the sustainability of steel production enterprises, in which dilution method, disability adjusted life years (DALY) method and potentially disappeared fraction (PDF) method were integrated into classic emergy analysis to quantify the impact of emissions, and then the related indicator system characterizing the industrial production process was put forward. One steel production enterprise in Sichuan Province, China, as a case, was studied using the proposed methods and indicator system. The research results show that this enterprise is not sustainable in the long term, due to large share of nonrenewable inputs and strong dependence on imported inputs; emissions' impact further aggravates this situation due to the increasing environmental loading; the proposed methods and indicator system can act as one of helpful tools for decision-making in steel & iron industry. Finally, this paper gives some corresponding suggestions so as to improve the comprehensive performance of this enterprise. [ABSTRACT FROM AUTHOR]

In an effort to make more sustainable decisions, industry seeks reliable methods to assess and compare sustainability for manufacturing. Sustainability characterization is intended to provide such a reliable method to access and track sustainability information. As a step towards developing a standard reference for sustainability characterization of unit-manufacturing processes, in this paper, we focus on injection molding with energy as a sustainability indicator. This paper proposes a science-based guideline for energy: (i) prediction, (ii) benchmarking and performance evaluation, and (iii) improvement, for unit-manufacturing processes, which unlike the previous methods does not require a physical benchmark. We discuss in detail the steps of the proposed guideline for the injection molding process. The guideline considers different influencing factors such as part geometry, material-related physical and processing properties, and the manufacturing equipment information. The guideline is implemented by developing a user friendly system, and is demonstrated by a case study. We expect this work to contribute to the development of a standard reference methodology to help further sustainability in the manufacturing sector. [ABSTRACT FROM AUTHOR]

Abstract: This paper provides a review of the state-of-the-art in electrical energy metering, with a particular focus on energy metering in complex manufacturing facilities. Higher levels of quantification and visibility in energy consumption is necessary due to the rising energy costs and proposed environmental taxes, which are forcing industrial enterprises to improve their energy efficiency. Traditionally, decisions relating to the planning and operation of complex manufacturing facilities have been based solely on conventional metrics such as raw material costs, labour costs and productivity with respect to market demands. Energy consumption has rarely been considered as a driver of manufacturing strategy; however this issue is becoming more prevalent, and is a topic of concern in the board room and a topic of significant research interest in the last five years. By integrating energy consumption criteria into a facilities planning and operating structures, a reduction of energy costs is to be expected. Such criteria and metrics include peak shaving, adapting the production program to external conditions such as energy prices or renewable energy availability, and implementing best practice energy management standards. In order to accurately quantify the effectiveness of projects designed to improve energy efficiency, it is first necessary to assess current performance. Power and energy metering equipment is essential for this assessment and in addition also allows the measurement of a wide variety of additional electrical statistics related to power quality such as voltage sags and surges to more complex power quality disturbances, for example harmonic distortion. The technologies available and the associated measurement and inference is presented in this paper. [Copyright &y& Elsevier]

With billion tons of carbon dioxide emitted by the construction and manufacturing sector every year, there is an urgent need for reducing construction materials consumption as the construction industry continues to grow. Current practices for designing structural elements, which are based on traditional design methods, result in building box-shaped elements and consuming more materials than what is structurally necessary. Excess materials can be removed without compromising the structural soundness of the elements while also providing added architectural value. This paper presents an approach based on generative design concepts, genetic algorithms, and the Lagrangian Multiplier Method to design concrete beams that use near-exact amounts of material only where they are needed. In this study, beam designs are optimized to reduce concrete and steel use in reinforced concrete beams. The effectiveness of the approach was demonstrated through its deployment to design a cantilever beam and a simply supported beam. The results of both applications were very promising as the reductions in material costs reached 63% and the related reductions in CO 2 emissions reached 57% per beam. This lays strong foundations for expanding the effort to scale this approach into entire buildings. The optimized structures can be constructed using 3D concrete printing technology, which eliminates the barriers imposed by traditional form-based construction. The results of this study contribute to means for making construction more economical and environmentally sustainable. • Traditional design methods of structural concrete elements result in material waste. • Cement production significantly contributes to the earth's greenhouse emissions. • Applying generative design concepts to concrete structures reduces material waste. • Resulting cost reductions could reach 63% per simply supported or cantilever beam. • The corresponding CO 2 emission reductions could reach 57% per beam. [ABSTRACT FROM AUTHOR]

This paper aims to evaluate the perception of experts on the contribution of the Brazilian industrial sector in terms of sustainable development, focusing in particular on three of the 17 Sustainable Development Goals (SDG) presented by United Nations (UN). A survey was conducted with professionals from Brazilian industry in order to identify their perceptions. It obtained sixty one answers and the collected data was evaluated technically and descriptively by TOPSIS analysis. It was found that Brazil has been carrying out some relevant actions, both sporadic and planned, with significant opportunities for improvement. Comparatively, the most cited contributions are those related to increasing productivity and technological modernization, which contributes to the inclusion of young people in the labor market, improving resource efficiency and the minimization of environmental degradation. Conversely, the least cited contributions are those related to the stimulation of sustainable consumption and negotiation with small companies. Therefore, the authors believe that the findings of this research could be useful for professionals and academics as guidance. It is also important to mention that no similar paper was found with an academic basis, which reinforces the originality and the contribution of this paper. [ABSTRACT FROM AUTHOR]

Industrial manufacturing is the largest end-use sector in terms of both final energy demand and greenhouse gas emissions (more than 30% of the total); its increase is rapidly altering the world climate. The need to mitigate the environmental impacts of manufacturing processes makes energy efficiency a key success factor for sustainable production. Accordingly, the scientific community's interest in energy management has grown considerably, resulting in several literature reviews on energy modelling and production systems analysis, emissions calculation, sustainability tools and benchmarking techniques. However, a comprehensive analysis of methods and tools aimed at improving energy awareness and assessing their effects on energy efficiency is lacking. To address this gap, this paper undertakes a systematic literature review of energy assessment methods and tools. From the 1367 papers retrieved by searching scientific literature databases, 64 scientific articles met the inclusion criteria and were analysed in detail. The study aims to provide scholars with a picture of the current state of scientific research and to identify the scientific works that could help industry practitioners in energy management. Following the ISO 50001 framework, the methods and tools were divided into three main groups (i.e. energy analysis, energy evaluation and energy-saving measures methods) and the specific findings relating to each group were synthesized. Finally, the paper addresses unresolved issues and challenges and makes suggestions for future research directions. • A systematic literature review of energy assessment methods and tools are provided. • Relevant concepts, themes and characteristics has been summarized. • A classification of energy assessment methods and tools has been presented. • The limits and the possible solution strategies to overcome them are discussed. [ABSTRACT FROM AUTHOR]