The flue gas desulfurization process in coal-fired power plants is energy and resource-intensive but the eco-efficiency of this process has scarcely been considered. Given the fluctuating unit load and complex desulfurization mechanism, optimizing the desulfurization system based on the traditional mechanistic model poses a great challenge. In this regard, the present study optimized the eco-efficiency from the perspective of operating data analysis. We formulated the issue of eco-efficiency improvement into a many-objective optimization problem. Considering the complexity between the system inputs and outputs and to further reduce the computational cost, we constructed a Kriging model and made a comparison between this model and the response surface methodology based on two accuracy metrics. This surrogate model was then incorporated into the NSGA-III algorithm to obtain the Pareto-optimal front. As this Pareto-optimal front provides multiple alternative operating options, we applied the TOPSIS to select the most appropriate alternative set of operating parameters. This approach was validated using the historical operation data from the desulfurization system at a coal-fired power plant in China with a 600 MW unit. The results indicated that the optimization would cause an improvement in the efficiency of desulfurization and energy efficiency but a slight increase in the consumption of limestone slurry. This study attempted to provide an effective operating strategy to enhance the eco-efficiency performance of desulfurization systems.

In recent years, there has been an increasing lack of social responsibility, such as low credibility of information disclosure, product quality defects, food safety, and other issues. This has had a certain impact on supply chain performance and has become an important topic of sustainable supply chain research. This study considers the relationship between logistics corporate social responsibility and supply chain performance. Structural equation models were built to explore the relationship between logistics corporate social responsibility, supply chain collaboration, and supply chain performance, and the bootstrap method was used to build path models to explore whether there is a mediation effect between logistics corporate social responsibility and supply chain performance. The results show that logistics corporate social responsibility has a significant positive impact on supply chain coordination, and logistics corporate social responsibility and supply chain coordination also have a significant positive impact on supply chain performance. Supply chain coordination plays an intermediary role between logistics corporate social responsibility and supply chain performance. Based on these results, it is suggested that logistics enterprises improve their awareness of fulfilling corporate social responsibility, improve transparency, strengthen supply chain collaboration, and accept the role of supervision and management at the government level.

With the increase in industrialization and urbanization, water pollution has become increasingly serious, and wastewater treatment has become a common step in preventing this. For a greater understanding of the sustainability of different wastewater treatment systems, two processes, Anaerobic Baffled Reactor + Anaerobic-Anoxic-Oxic and Anaerobic Baffled Reactor + Cyclic Activated Sludge System, were selected, and their sustainability was evaluated based on three indicators, namely emergy yield ratio, environmental load rate, and emergy sustainability development index, according to emergy theory. The results show that the emergy yield ratio and environmental load rate of the ABR + CASS process were lower than those of the ABR + A2/O process, and the emergy sustainability development index of the ABR + CASS process was higher than that of the ABR + A2/O process, showing better sustainability. The research methods and findings of this study play an important role for decision makers in selecting sustainable wastewater treatment processes.

In view of the coordination of economy, society, and environment in the process of the rapid development of the regional economy, this study proposes the evaluation method of sustainable development of a regional economy on the basis of emergy. The study also constructed an evaluation index system of sustainable development of regional ecological economy from four aspects, namely, structural, functional, and ecological efficiency, and sustainable development index. The objective was to comprehensively evaluate the quality and environmental friendliness of regional economic development. On this basis, this study measured and evaluated the sustainable development of the ecological economy in Anhui Province by using emergy to analyze the statistical data of the economic development of Anhui Province, China, from 2010 to 2018. The study also provides targeted decision-making suggestions for the sustainable and high-quality development of the Anhui economy. Furthermore, this study provides a measure and evaluation method for the sustainable development of the regional economy and effective policy recommendations, which have important theoretical and practical significance.