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Life cycle sustainability of energy systems has received more and more attentions recently. In order to make an accurate comparison of the sustainability performance of different energy systems and promote the decision-making process, various prioritization methods of energy systems were developed. However, the lack of enough data for decision-making usually limits the accuracy of the prioritization. On the one hand, the decision-makers can only collect multiple types of data resources with hybrid information, for example, data in the formats of crisp numbers, interval numbers, and fuzzy numbers. On the other hand, some information for certain alternatives with respect to certain criteria is hard to be obtained. Therefore, it is of vital importance to achieve sustainability-oriented prioritization of energy systems under hybrid information and missing information. This study aims at developing a prioritization framework for energy systems ranking with missing information and hybrid information. An improved Grey Relational Analysis (GRA) is extended from the classical GRA method to handle hybrid information in this study. An innovative method to quantify linguistic expressions is proposed to deal with missing information. A hypothetical case study regarding electricity generation scenarios selection was used to evaluate the feasibility of this proposed framework. Sensitivity analysis was also conducted, and the results showed that the iGRA-MH is feasible in handling hybrid and missing information and it performs more stable than other multi-criteria decision-making models.
Ruojue Lin; Jingzheng Ren; Yue Liu; Carman K.M. Lee; Ping Ji; Long Zhang; Yi Man. Sustainability prioritization of energy systems under hybrid information and missing information based on the improved grey relational analysis. Sustainable Energy Technologies and Assessments 2021, 47, 101543 .
AMA StyleRuojue Lin, Jingzheng Ren, Yue Liu, Carman K.M. Lee, Ping Ji, Long Zhang, Yi Man. Sustainability prioritization of energy systems under hybrid information and missing information based on the improved grey relational analysis. Sustainable Energy Technologies and Assessments. 2021; 47 ():101543.
Chicago/Turabian StyleRuojue Lin; Jingzheng Ren; Yue Liu; Carman K.M. Lee; Ping Ji; Long Zhang; Yi Man. 2021. "Sustainability prioritization of energy systems under hybrid information and missing information based on the improved grey relational analysis." Sustainable Energy Technologies and Assessments 47, no. : 101543.
The variety of the energy storage materials and technologies leads to the selection difficulty. To evaluate the overall performance of energy storage technologies, this study proposes sustainability efficiency and sustainability super-efficiency indices. The proposed indices illustrate the integrated performance of energy storages in economic, environmental, technological and social aspects. A measurement framework is proposed based on data envelopment analysis models, which are the interval slacks-based measurement of efficiency and super efficiency. In this study, the concept of virtual DMUs is raised to solve the problem of instability of DEA due to insufficient DMUs analysed in the model. A case study is used to illustrate the proposed method and the result has been analysed and validated. The Li-Ion battery is recognized as the most sustainable energy storage technologies among the four alternatives. This framework provides a feasible solution for prioritization of energy storage technologies while the number of alternatives is limited.
Lin Ruojue; Yi Man; Carman K.M. Lee; Ping Ji; Jingzheng Ren. Comparative sustainability efficiency measurement of energy storages under uncertainty: An innovative framework based on interval SBM model. Journal of Energy Storage 2021, 40, 102808 .
AMA StyleLin Ruojue, Yi Man, Carman K.M. Lee, Ping Ji, Jingzheng Ren. Comparative sustainability efficiency measurement of energy storages under uncertainty: An innovative framework based on interval SBM model. Journal of Energy Storage. 2021; 40 ():102808.
Chicago/Turabian StyleLin Ruojue; Yi Man; Carman K.M. Lee; Ping Ji; Jingzheng Ren. 2021. "Comparative sustainability efficiency measurement of energy storages under uncertainty: An innovative framework based on interval SBM model." Journal of Energy Storage 40, no. : 102808.
Sustainability and sustainable development have gradually caused wide public attention during recent years due to the increasing concerns on resources and environment. The United Nations formulated and adopted a plan of action to promote the process of sustainable development, which covered 17 sustainable development goals and 169 specific targets to integrate and balance the three pillars of sustainable development. In order to provide a better understanding of the related concepts of sustainability, this paper provides an overview to introduce the relevant background knowledge and concepts on sustainability, sustainable development, and sustainability evaluation methods. Sustainability assessment methods are roughly classified into six major categories in this context, including individual or set of indicators, composite indicators, socially responsible investment indicators, energy and material flow analysis, life cycle sustainability assessment (LCSA) and multi-criteria decision-making (MCDM), and environmental accounting. Basic information on the method categories and related methods are summarized and presented according to the literature review. A qualitative analysis and comparison for the six sustainability evaluation method categories are carried out to assess the ability and potential for sustainability evaluation of these methods. Results showed that LCSA combined with MCDM can work as a reliable sustainability evaluation tool to provide a relatively complete assessment. Environmental accounting and individual or set of indicators are inferior to the other categories under the considered criteria system. Three suggestions are proposed based on the analysis to guide future research on sustainability evaluation from the perspective of comprehensiveness, involvement of stakeholders, and follow-up investigation.
Yue Liu; Jingzheng Ren. Overview of Sustainability, Sustainable Development and Sustainability Assessment: Concepts and Methods. Smart and Sustainable Planning for Cities and Regions 2021, 1 -29.
AMA StyleYue Liu, Jingzheng Ren. Overview of Sustainability, Sustainable Development and Sustainability Assessment: Concepts and Methods. Smart and Sustainable Planning for Cities and Regions. 2021; ():1-29.
Chicago/Turabian StyleYue Liu; Jingzheng Ren. 2021. "Overview of Sustainability, Sustainable Development and Sustainability Assessment: Concepts and Methods." Smart and Sustainable Planning for Cities and Regions , no. : 1-29.
Energy systems are popularly studied to maintain and improve the energy supply, which is an essential and irreplaceable element for modern society. With the development of technology, stakeholders need to face more prioritization and optimization problems in the establishment, operation, and maintenance process of the energy system. To make various and complicated decisions with multiple criteria to consider in the life cycle of an energy system, multi-criteria decision-making (MCDM) methods have been widely applied. Since the MCDM method is used in the research and development process for an electricity utility company in 1991, MCDM methods have been extended, improved, and adopted in an increasing number of studies regarding the energy system. In order to provide a clear reference for researchers in the related field, this study overviewed 1995 literature solving problems related to the energy system by applying MCDM methods. The definition and classification of energy systems have been clearly explained with illustrations and examples. The general framework of MCDM is introduced, and the MCDM methods used in the studies concerning energy systems are summarized and explained. To comprehensively analyze the relative works of literature, all articles using MCDM methods to solve energy system-related problems are collected and analyzed by conducting a bibliometric analysis. In the bibliometric analysis, the co-citation networks of journals, publications, and authors and the co-occurrence network of keywords are examined and evaluated. As the result, the MCDM has been proven a feasible method for energy system; multi-criteria decision analysis for energy system has been shown as a heated topic, and the most highly cited papers, authors, research countries/regions, and sources are identified.
Ruojue Lin; Jingzheng Ren. Overview of Multi-criteria Decision Analysis and Its Applications on Energy Systems. Smart and Sustainable Planning for Cities and Regions 2021, 1 -26.
AMA StyleRuojue Lin, Jingzheng Ren. Overview of Multi-criteria Decision Analysis and Its Applications on Energy Systems. Smart and Sustainable Planning for Cities and Regions. 2021; ():1-26.
Chicago/Turabian StyleRuojue Lin; Jingzheng Ren. 2021. "Overview of Multi-criteria Decision Analysis and Its Applications on Energy Systems." Smart and Sustainable Planning for Cities and Regions , no. : 1-26.
As energy security has been an increasingly hot topic in research, a reliable and sound framework for allaying energy security is necessary. In this paper, it establishes a methodological framework based on quantitative and qualitative approaches for measuring and improving energy security from a broad sense. Firstly, it interprets the conceptual framework of energy security composed by seven dimensions, and 28 indicators are designed for its assessment. Then, Fuzzy AHP is used to indicate the importance of the dimensions and indicators, and the hybrid model of GRA-TOPSIS is introduced to evaluate energy security performance. Further, a qualitative root cause analysis is conducted with Why-Why Diagram to identify the possible causes affecting energy security. After that, a case study is conducted to investigate energy security of Henan province in China within the period of 2005–2017. The results indicate that, energy security is no longer a single-dimensional concept, but a synthetic term, and the technological, environmental, social, even political aspects can be improved to enhance energy security. The methodological framework with quantitative and qualitative techniques can help achieve an all-around understanding of energy security.
Long Zhang; Wuliyasu Bai; Huijuan Xiao; Jingzheng Ren. Measuring and improving regional energy security: A methodological framework based on both quantitative and qualitative analysis. Energy 2021, 227, 120534 .
AMA StyleLong Zhang, Wuliyasu Bai, Huijuan Xiao, Jingzheng Ren. Measuring and improving regional energy security: A methodological framework based on both quantitative and qualitative analysis. Energy. 2021; 227 ():120534.
Chicago/Turabian StyleLong Zhang; Wuliyasu Bai; Huijuan Xiao; Jingzheng Ren. 2021. "Measuring and improving regional energy security: A methodological framework based on both quantitative and qualitative analysis." Energy 227, no. : 120534.
Energy security has become one of the growing concerns of many countries as well as the policy makers and decision-makers. This study aims to investigate the energy security performances of 30 Chinese provinces within the period of 2008-2017 by proposing a hybrid model that integrated Fuzzy Best-Worst Method, Data Envelopment Analysis and Assurance Regions. The dynamic trend of energy security performances of these provinces during this period has also been analysed by using Malmquist Productivity Index. It was found that China’s provincial energy security have shown great variance, and the eastern and southern coastal provinces have experienced better energy security performance than that of the western and northern regions. In addition, China still improved its energy security performance during this period even it has been the country with the fastest growth in world energy consumption in recent decades. Specifically, energy security performance in the middle and western provinces seems to have made more progress than the coasts. Technological progress and energy innovations can help to improve China’s energy security by diversifying the energy supply sources/pathways and improving the energy efficiency, which is of great significance for the development of clean and sustainable energy.
Beijia Huang; Long Zhang; Linmao Ma; Wuliyasu Bai; Jingzheng Ren. Multi-criteria decision analysis of China’s energy security from 2008 to 2017 based on Fuzzy BWM-DEA-AR model and Malmquist Productivity Index. Energy 2021, 228, 120481 .
AMA StyleBeijia Huang, Long Zhang, Linmao Ma, Wuliyasu Bai, Jingzheng Ren. Multi-criteria decision analysis of China’s energy security from 2008 to 2017 based on Fuzzy BWM-DEA-AR model and Malmquist Productivity Index. Energy. 2021; 228 ():120481.
Chicago/Turabian StyleBeijia Huang; Long Zhang; Linmao Ma; Wuliyasu Bai; Jingzheng Ren. 2021. "Multi-criteria decision analysis of China’s energy security from 2008 to 2017 based on Fuzzy BWM-DEA-AR model and Malmquist Productivity Index." Energy 228, no. : 120481.
Hydrogen has been received more and more attentions because of its advantage in terms of low environmental impact and high energy density. However, the sustainability priorities of different hydrogen production pathways have not been determined. To assist the sustainability-oriented selection of hydrogen production pathways, a prioritization framework needs to be built. However, the data collected from different sources consisting of hybrid information, such as crisp numbers, interval numbers, and fuzzy numbers, increases the difficulty of sustainability-oriented decision-making. Therefore, this study aims to develop a sustainability prioritization framework for hydrogen production pathways under hybrid information. The Z-number Best Worst Method (ZBWM) is applied to quantify the weight of each criterion from the views of decision-makers in the forms of Z-number. The ELECTRE method has been extended to prioritize the alternatives under the context of hybrid information. An illustrative case including five hydrogen production processes is used to illustrate the proposed prioritization framework from environmental, social, economic, and technical aspects, and the results show that biomass hydrogen technology is the most sustainable choice. In order to validate the feasibility of the proposed model, other three multi-criteria decision making methods were also used to determine the sustainability rankings of these five hydrogen production pathways, and the comparisons reveal that this method is feasible.
Ruojue Lin; Shengfang Lu; Ao Yang; Weifeng Shen; Jingzheng Ren. Multi-criteria sustainability assessment and decision-making framework for hydrogen pathways prioritization: An extended ELECTRE method under hybrid information. International Journal of Hydrogen Energy 2021, 46, 13430 -13445.
AMA StyleRuojue Lin, Shengfang Lu, Ao Yang, Weifeng Shen, Jingzheng Ren. Multi-criteria sustainability assessment and decision-making framework for hydrogen pathways prioritization: An extended ELECTRE method under hybrid information. International Journal of Hydrogen Energy. 2021; 46 (24):13430-13445.
Chicago/Turabian StyleRuojue Lin; Shengfang Lu; Ao Yang; Weifeng Shen; Jingzheng Ren. 2021. "Multi-criteria sustainability assessment and decision-making framework for hydrogen pathways prioritization: An extended ELECTRE method under hybrid information." International Journal of Hydrogen Energy 46, no. 24: 13430-13445.
Jingzheng Ren; Zhipeng Kan. Index. Photovoltaic Sustainability and Management 2021, 1 -4.
AMA StyleJingzheng Ren, Zhipeng Kan. Index. Photovoltaic Sustainability and Management. 2021; ():1-4.
Chicago/Turabian StyleJingzheng Ren; Zhipeng Kan. 2021. "Index." Photovoltaic Sustainability and Management , no. : 1-4.
Jingzheng Ren; Zhipeng Kan. Front Matter. Photovoltaic Sustainability and Management 2021, 1 .
AMA StyleJingzheng Ren, Zhipeng Kan. Front Matter. Photovoltaic Sustainability and Management. 2021; ():1.
Chicago/Turabian StyleJingzheng Ren; Zhipeng Kan. 2021. "Front Matter." Photovoltaic Sustainability and Management , no. : 1.
Photovoltaic Sustainability and Management examines photovoltaic (PV) technologies that are widely used to convert light into electrical power. While PV power generation is sustainable and emission-free, the manufacture and placement of PV modules have environmental impacts that need consideration by professionals in the industry. This book: • Discusses the techno-economic, carbon footprint, and life cycle sustainability performances of photovoltaic technologies. • Focuses on nontechnical factors that significantly influence the effectiveness of PV deployment, including challenges, innovations, policies, environmental impacts, location selection, and management. • Investigates PV technologies from life cycle and sustainability perspectives. Photovoltaic Sustainability and Management is for academic researchers, technicians, and consultants engaged in PV research or working in PV technologies or the renewable energy industry.
Jingzheng Ren; Zhipeng Kan. Photovoltaic Sustainability and Management. Photovoltaic Sustainability and Management 2021, 1 .
AMA StyleJingzheng Ren, Zhipeng Kan. Photovoltaic Sustainability and Management. Photovoltaic Sustainability and Management. 2021; ():1.
Chicago/Turabian StyleJingzheng Ren; Zhipeng Kan. 2021. "Photovoltaic Sustainability and Management." Photovoltaic Sustainability and Management , no. : 1.
Shengfang Lu; Ruojue Lin; Jingzheng Ren. Sustainability-Oriented Decision-Making on Solar Photovoltaic Location Selection. Photovoltaic Sustainability and Management 2021, 1 -28.
AMA StyleShengfang Lu, Ruojue Lin, Jingzheng Ren. Sustainability-Oriented Decision-Making on Solar Photovoltaic Location Selection. Photovoltaic Sustainability and Management. 2021; ():1-28.
Chicago/Turabian StyleShengfang Lu; Ruojue Lin; Jingzheng Ren. 2021. "Sustainability-Oriented Decision-Making on Solar Photovoltaic Location Selection." Photovoltaic Sustainability and Management , no. : 1-28.
Sustainability of industrial processes has been a hot spot and draws the attentions of more and more stakeholders, because determining the synthetic sustainability index can help the decision-makers/stakeholders to make informed decisions towards sustainable industrial processes, especially for selecting the most sustainable industrial process among multiple alternatives. This study aims to develop an interval reference point technique for the prioritization of industrial processes under uncertainties. The hierarchy best-worst method which can determine the weights of the criteria, the local weights of the sub-criteria and the global weights of the sub-criteria simultaneously was employed for weights determination. An interval reference point technique which allows the users to set the aspiration point (the level of acceptance) and the reservation point (the level of desirable expectation) was developed to determine the dual synthetic sustainability indexes, and both the weak synthetic sustainability index (compensatory sustainability index) and the strong synthetic sustainability index (non- compensatory sustainability index) were used to prioritize the industrial processes. A case study with five alternative energy storage technologies has been studied to illustrate the developed framework, and the results reveal that the developed framework is feasible and efficient for sustainability assessment and prioritization of industrial processes.
Jingzheng Ren; Sara Toniolo. Interval reference point technique for sustainable industrial processs election under uncertainties. Sustainable Production and Consumption 2020, 27, 354 -371.
AMA StyleJingzheng Ren, Sara Toniolo. Interval reference point technique for sustainable industrial processs election under uncertainties. Sustainable Production and Consumption. 2020; 27 ():354-371.
Chicago/Turabian StyleJingzheng Ren; Sara Toniolo. 2020. "Interval reference point technique for sustainable industrial processs election under uncertainties." Sustainable Production and Consumption 27, no. : 354-371.
Sludge-to-energy technologies can achieve sewage sludge treatment and energy recovery simultaneously. Having a comprehensive assessment for the related technologies can contribute to the decision-making process and sustainable development of sludge management industry. In this paper, a life cycle composite footprint index was proposed, including energy recovery, carbon emissions, water consumptions, nitrogen and sulfur flows. Related methodology framework was constructed to evaluate the sustainability performance of sludge-to-energy alternatives on the composite footprint index. Fuzzy Best-Worst Method (BWM) and fuzzy AHP method were applied to obtain the weights and the overall scores. A case study was carried out applying the established framework to assess six sludge-to-energy scenarios, covering dewatering, composting, drying, incineration, incinerated ash melting, and dewatered sludge melting by the life cycle composite energy-carbon-water index. Results showed that dewatered sludge melting was the most preferred option owing to the considerable quantity of energy production, while drying process was the undesired one because of the unsatisfactory performance on energy recovery and carbon emissions. Sensitivity analysis and uncertainty analysis were carried out to study the impacts of changing weights on different aspects and the influence of changing energy recovery amount from anaerobic digestion, lower heating value and carbon content in sewage sludge toward the sustainability assessment of the sludge-to-energy technologies.
Yue Liu; Ruojue Lin; Jingzheng Ren. Developing a life cycle composite footprint index for sustainability prioritization of sludge-to-energy alternatives. Journal of Cleaner Production 2020, 281, 124885 .
AMA StyleYue Liu, Ruojue Lin, Jingzheng Ren. Developing a life cycle composite footprint index for sustainability prioritization of sludge-to-energy alternatives. Journal of Cleaner Production. 2020; 281 ():124885.
Chicago/Turabian StyleYue Liu; Ruojue Lin; Jingzheng Ren. 2020. "Developing a life cycle composite footprint index for sustainability prioritization of sludge-to-energy alternatives." Journal of Cleaner Production 281, no. : 124885.
Jingzheng Ren; Sara Toniolo. Hydrogen for better sustainability. International Journal of Hydrogen Energy 2020, 1 .
AMA StyleJingzheng Ren, Sara Toniolo. Hydrogen for better sustainability. International Journal of Hydrogen Energy. 2020; ():1.
Chicago/Turabian StyleJingzheng Ren; Sara Toniolo. 2020. "Hydrogen for better sustainability." International Journal of Hydrogen Energy , no. : 1.
Livestock excrements (LEs) are important biomass, whose utilization for energy conversion can potentially ameliorate environmental problems and create economic profits. The integrative benefits contributed by LEs utilization have not been adequately explored especially from life cycle perspective. Due to different levels of husbandry development, LEs utilization in China’s provincial regions may present spatial disparity. We construct an integrated assessment model that is capable of elaborating the life cycle energy, environmental and socioeconomic benefits of utilizing LEs from commercial scale husbandry feedlots. The model is applied to 30 provincial regions in China to reveal the spatial features of the benefits. On the national level, the theoretical reserve of LEs shows an increasing trend during 2008-2017, reaching 200.36 Mt in 2017. 11.30 Mt coal-eq net energy benefits can be generated. The eutrophication potential is most significant as -9.08E+08 kg PO4-eq, accounting for 96.77% in total potential followed by the potentials of climate change, photochemical oxidation and acidification. Sichuan has the largest mitigated potentials of climate change and photochemical oxidation, and Henan has the largest mitigated potentials of eutrophication and acidification. In total 1.88 billion USD net profit and 73.06 thousand employments could be created. There overall forms a consistency among the three types of benefits spatially, with Sichuan, Yunnan, Shandong, Henan, Heilongjiang, Inner Mongolia, Hunan and Hebei more advantageous. These regions should be prioritized when deploying LEs utilization. The comprehensive benefits and their spatial features presented by this study are expected to offer better support in formulating region-specific planning regarding LEs utilization and development.
Jiahao Xing; Junnian Song; Jingzheng Ren; Wei Yang; Haiyan Duan. Regional integrative benefits of converting livestock excrements to energy in China: An elaborative assessment from life cycle perspective. Journal of Cleaner Production 2020, 275, 122470 .
AMA StyleJiahao Xing, Junnian Song, Jingzheng Ren, Wei Yang, Haiyan Duan. Regional integrative benefits of converting livestock excrements to energy in China: An elaborative assessment from life cycle perspective. Journal of Cleaner Production. 2020; 275 ():122470.
Chicago/Turabian StyleJiahao Xing; Junnian Song; Jingzheng Ren; Wei Yang; Haiyan Duan. 2020. "Regional integrative benefits of converting livestock excrements to energy in China: An elaborative assessment from life cycle perspective." Journal of Cleaner Production 275, no. : 122470.
Aiming at promoting the sustainable development of sludge-to-energy and determining the decision-making process for the most sustainable option among all the scenarios, a novel multi-criteria decision-making method based on Dempster-Shafer (DS) theory and fuzzy best-worst method (FBWM) was developed. Four sludge-to-electricity technologies under uncertainty were prioritized, including incineration for electricity production, biogas from sludge digestion for electricity generation by fuel cells and gas engine, and microbial fuel cells (MFCs) for sludge treatment with electricity production. Four aspects and thirteen criteria were considered in the assessment and fuzzy BWM was employed to decide the fuzzy weights of these indicators. The uncertainty was resulted from different information forms, including crisp numbers, interval numbers and linguistic terms. Incomplete information also occurred in the data of MFCs. The results showed that incineration had the highest priority considering the overall performance on the selected indictors while MFCs had the worst performance due to the limited maturity of the technology. Biogas combustion for electricity production was also an acceptable option with stable market demand. The results also indicated the feasibility of using DS-FBWM for the multi-criteria decision-making problems of sludge-to-energy technologies with incomplete information and multi-data conditions, which can provide decision-making reference for stakeholders to make suitable choices according to the actual needs and preferences.
Yue Liu; Jingzheng Ren; Yi Man; Ruojue Lin; Carman K.M. Lee; Ping Ji. Prioritization of sludge-to-energy technologies under multi-data condition based on multi-criteria decision-making analysis. Journal of Cleaner Production 2020, 273, 123082 .
AMA StyleYue Liu, Jingzheng Ren, Yi Man, Ruojue Lin, Carman K.M. Lee, Ping Ji. Prioritization of sludge-to-energy technologies under multi-data condition based on multi-criteria decision-making analysis. Journal of Cleaner Production. 2020; 273 ():123082.
Chicago/Turabian StyleYue Liu; Jingzheng Ren; Yi Man; Ruojue Lin; Carman K.M. Lee; Ping Ji. 2020. "Prioritization of sludge-to-energy technologies under multi-data condition based on multi-criteria decision-making analysis." Journal of Cleaner Production 273, no. : 123082.
Straw power generation (SPG) can not only reduce dependence on coal, but also can convert agricultural waste into energy and alleviate environmental pollution. In order to address the major challenges such as sustainability of the SPG and to provide scientific ground from environmental and economic perspectives, a sustainability assessment model was established to evaluate the performance of SPG. Life cycle assessment (LCA), life-cycle cost (LCC) and the best-worst method (BWM) were integrated in the model. Four SPG scenarios were studied. The results showed that straw alternative coal-fired power generation had weak economic sustainability, the ratio of benefit to cost of SPG was 0.8752–1.1866. While, for the environmental dimension, a strong sustainability was obtained, the greenhouse gas (GHG) abatement potential of −0.8903 t CO2-eq t−1 straw. The findings obtained from the four SPG scenarios suggested that direct combustion SPG had great sustainability potential in China, and several factors such as straw supply chain model, pollutant treatment technology, transport vehicles and straw purchase cost were the main factors which lead to unfavorable economic performance. We suggest that the SPG schemes, transport models and financial subsidies should be carefully designed to improve the sustainability of straw power generation.
Zhanwu Wang; Zhenfeng Wang; Guangyin Xu; Jingzheng Ren; Heng Wang; Jin Li. Sustainability assessment of straw direct combustion power generation in China: From the environmental and economic perspectives of straw substitute to coal. Journal of Cleaner Production 2020, 273, 122890 .
AMA StyleZhanwu Wang, Zhenfeng Wang, Guangyin Xu, Jingzheng Ren, Heng Wang, Jin Li. Sustainability assessment of straw direct combustion power generation in China: From the environmental and economic perspectives of straw substitute to coal. Journal of Cleaner Production. 2020; 273 ():122890.
Chicago/Turabian StyleZhanwu Wang; Zhenfeng Wang; Guangyin Xu; Jingzheng Ren; Heng Wang; Jin Li. 2020. "Sustainability assessment of straw direct combustion power generation in China: From the environmental and economic perspectives of straw substitute to coal." Journal of Cleaner Production 273, no. : 122890.
In this work, a systematic method for conceptual design and multi-objective optimization of an energy-efficient and sustainable reactive/extractive distillation (RED) process is proposed to separate a ternary wastewater mixture with multi-azeotrope tetrahydrofuran/ethanol/water. Conceptual design of the proposed scheme is carried out by the analysis of thermodynamic feasibility (e.g., residue curve maps and iso-volatility line). In the proposed process, the component of water in the ternary system is firstly removed by adding the reactant in a reactive distillation column and the remaining binary azeotropic mixture is then separated via ED. During the ED process, the best entrainer dimethyl sulfoxide could be determined via the comparison of iso- and uni-volatility. An improved multi-objective genetic algorithm is employed for optimizing the established process with some key decision variables (e.g., feed locations and distillate rate). The results illustrated that the economic and environmental benefits of the proposed RED process will be greatly improved.
Yang Su; Ao Yang; Saimeng Jin; Weifeng Shen; Peizhe Cui; Jingzheng Ren. Investigation on ternary system tetrahydrofuran/ethanol/water with three azeotropes separation via the combination of reactive and extractive distillation. Journal of Cleaner Production 2020, 273, 123145 .
AMA StyleYang Su, Ao Yang, Saimeng Jin, Weifeng Shen, Peizhe Cui, Jingzheng Ren. Investigation on ternary system tetrahydrofuran/ethanol/water with three azeotropes separation via the combination of reactive and extractive distillation. Journal of Cleaner Production. 2020; 273 ():123145.
Chicago/Turabian StyleYang Su; Ao Yang; Saimeng Jin; Weifeng Shen; Peizhe Cui; Jingzheng Ren. 2020. "Investigation on ternary system tetrahydrofuran/ethanol/water with three azeotropes separation via the combination of reactive and extractive distillation." Journal of Cleaner Production 273, no. : 123145.
Acetonitrile (ACN) and Ethanol (EtOH) are important organic solvents and they are frequently used as mobile phase in high performance liquid chromatography resulting in the production of waste ternary mixture ACN/EtOH/water. The separation of such ternary systems is a key to recovery valuable solvents in waste liquid from views on economic and environmental benefits. Thus, we proposed an effective separation strategy of triple-column extractive distillation (TCED) to separate such ternary mixture with three binary azeotropes and a single ternary azeotrope for the first time. The suitable entrainer and the separation sequence were determined by thermodynamic insights (i.e., residue curve maps, isovolatility line, univolatility line and material balance lines). In addition, an improved multi-objective genetic algorithm optimization embedding the weak mutation and detection/deduplication of overlapping solutions was employed to optimize the proposed process with plenty of continuous and discrete decision variables. Finally, DMSO was determined as the most appropriate entrainer to separate such complex ternary mixture. The separation sequence of TCED process was determined as the ACN first, then EtOH and water as the last product. The optimal TCED process with the trade-off benefits between fixed capital investment and annual operating costs was obtained.
Shirui Sun; Wei Chun; Ao Yang; Weifeng Shen; Peizhe Cui; Jingzheng Ren. The separation of ternary azeotropic mixture: Thermodynamic insight and improved multi-objective optimization. Energy 2020, 206, 118117 .
AMA StyleShirui Sun, Wei Chun, Ao Yang, Weifeng Shen, Peizhe Cui, Jingzheng Ren. The separation of ternary azeotropic mixture: Thermodynamic insight and improved multi-objective optimization. Energy. 2020; 206 ():118117.
Chicago/Turabian StyleShirui Sun; Wei Chun; Ao Yang; Weifeng Shen; Peizhe Cui; Jingzheng Ren. 2020. "The separation of ternary azeotropic mixture: Thermodynamic insight and improved multi-objective optimization." Energy 206, no. : 118117.
Jingzheng Ren. Corrigendum to “GM(1,N) method for the prediction of anaerobic digestion system and sensitivity analysis of influential factors” [Bioresour. Technol. 247 (2018) 1258–1261]. Bioresource Technology 2020, 311, 123581 .
AMA StyleJingzheng Ren. Corrigendum to “GM(1,N) method for the prediction of anaerobic digestion system and sensitivity analysis of influential factors” [Bioresour. Technol. 247 (2018) 1258–1261]. Bioresource Technology. 2020; 311 ():123581.
Chicago/Turabian StyleJingzheng Ren. 2020. "Corrigendum to “GM(1,N) method for the prediction of anaerobic digestion system and sensitivity analysis of influential factors” [Bioresour. Technol. 247 (2018) 1258–1261]." Bioresource Technology 311, no. : 123581.