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Advances of footprint family for sustainable energy and industrial systems / / Jingzheng Ren, editor
Advances of footprint family for sustainable energy and industrial systems / / Jingzheng Ren, editor
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (244 pages)
Disciplina 304.2
Collana Green Energy and Technology
Soggetto topico Industries - Environmental aspects
Sustainable development
Nature - Effect of human beings on
ISBN 3-030-76441-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910523754403321
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Applied AI Techniques in the Process Industry : From Molecular Design to Process Design and Optimization
Applied AI Techniques in the Process Industry : From Molecular Design to Process Design and Optimization
Autore He Chang
Edizione [1st ed.]
Pubbl/distr/stampa Newark : , : John Wiley & Sons, Incorporated, , 2025
Descrizione fisica 1 online resource (336 pages)
Disciplina 670.28563
Altri autori (Persone) RenJingzheng
Soggetto topico Artificial intelligence - Industrial applications
Chemical engineering - Data processing
ISBN 9783527845491
3527845496
9783527845477
352784547X
9783527845484
3527845488
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover -- Title Page -- Copyright -- Contents -- Preface -- Chapter 1 AI for Property Modeling, Solvent Tailoring, and Process Design -- 1.1 AI‐Assisted Property Modeling -- 1.2 AI‐assisted Solvent Tailoring -- 1.3 AI‐Assisted Process Design -- 1.4 Conclusions -- References -- Chapter 2 Hunting for Better Aromatic Chemicals with AI Techniques -- 2.1 Introduction -- 2.2 Machine Learning‐Based Odor Prediction Models -- 2.2.1 Odor Predictions for Pure Aromatic Chemicals Using Group‐Based Machine Learning Method -- 2.2.1.1 Database Preparation -- 2.2.1.2 Molecular Representation -- 2.2.1.3 Model Architecture -- 2.2.1.4 Results and Discussions -- 2.2.2 Odor Prediction for Mixture Aromatic Chemicals Using σ‐Profiles‐Based Machine Learning Method -- 2.2.2.1 Database Preparation -- 2.2.2.2 Molecular Representation -- 2.2.2.3 Model Architecture -- 2.2.2.4 Results and Discussions -- 2.3 Computer‐Aided Aroma Design (CAAD) Framework -- 2.3.1 CAAD for Pure Aromatic Chemicals -- 2.3.1.1 Identify Product Attributes -- 2.3.1.2 Convert Product Attributes to Properties and Their Constraints -- 2.3.1.3 Choose Property Prediction Model for Estimating Properties -- 2.3.1.4 Formulate MILP/MINLP Model
Record Nr. UNINA-9911020153603321
He Chang  
Newark : , : John Wiley & Sons, Incorporated, , 2025
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Circular economy and waste valorisation : theory and practice from an international perspective / / edited by Jingzheng Ren and Long Zhang
Circular economy and waste valorisation : theory and practice from an international perspective / / edited by Jingzheng Ren and Long Zhang
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (251 pages)
Disciplina 333.9539
Collana Industrial Ecology and Environmental Management
Soggetto topico Circular economy
Biomass energy
ISBN 3-031-04725-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910590050803321
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Circular Economy in Low-Carbon Transition
Circular Economy in Low-Carbon Transition
Autore Mazzi Anna
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 online resource (124 p.)
Soggetto topico History of engineering and technology
Industry and industrial studies
Technology: general issues
Soggetto non controllato Aspen Plus
bibliometric analysis
built environment
carbon label
carbon labeling scheme
CHP
circular economy
CiteSpace
digitalization
easy-to-repair design
eco-efficiency
economic assessment
energy consumption
energy efficiency
environmental impact
food chain
gas boilers
gasification
GHG emissions
heat pumps
life cycle assessment
Life Cycle Assessment (LCA)
low-carbon energy
n/a
product policy
purchase intention
resource efficiency
rice husk
short food supply chains (SFSCs)
simulation
waste-based bioenergy
willingness to pay
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910566476703321
Mazzi Anna  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Energy systems evaluation : sustainability assessment / / Jingzheng Ren, editor
Energy systems evaluation : sustainability assessment / / Jingzheng Ren, editor
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (VI, 225 p. 54 illus., 45 illus. in color.)
Disciplina 621.31
Collana Green Energy and Technology
Soggetto topico Decision making
Operations research
Energy systems
ISBN 3-030-67529-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Overview of Sustainability, Sustainable Development and Sustainability Assessment: Concepts and Methods -- Integrated Criteria System for Sustainability Assessment of Energy Systems -- Sustainable Energy System in the Largest Archipelagic State. Opportunities and Challenge -- Elements pf Holistic Sustainability Assessments for Energy Systems -- Life Cycle Thinking and Tools for Sustainability Assessment of Energy Systems -- Social Life Cycle Sustainability Assessment of New Energy Sources for Alternative Vehicles: Indicators, Methods and Case Study -- Sustainability Assessment of Renewable Energy Systems and Their Comparative Analysis -- Review and Selection of MCDA Method for Sustainability Assessment -- Multi-Criteria Evaluation for Electricity/Water Cogeneration Systems using LCA -- Dynamic Agent-based Sustainability Assessment of Energy Systems -- Preparing for the Unpredicted: A Resiliency Approach.
Record Nr. UNINA-9910481957903321
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Energy systems evaluation Volume 2 Multi-criteria decision analysis / / Jingzheng Ren, editor
Energy systems evaluation Volume 2 Multi-criteria decision analysis / / Jingzheng Ren, editor
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (283 pages)
Disciplina 621.31
Collana Green Energy and Technology
Soggetto topico Multiple criteria decision making
Electric power systems - Decision making
ISBN 3-030-67376-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910483107003321
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Multi-criteria decision analysis for risk assessment and management / / Jingzheng Ren, editor
Multi-criteria decision analysis for risk assessment and management / / Jingzheng Ren, editor
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (254 pages)
Disciplina 658.403
Collana Industrial Ecology and Environmental Management
Soggetto topico Multiple criteria decision making
ISBN 9783030781521
9783030781514
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Contents -- Contributors -- 1 Risk Assessment: Indicators and Organizational Models -- 1.1 Introduction -- 1.2 Risk Definition -- 1.3 Risk Opportunity -- 1.4 International Standard ISO 31,000 -- 1.5 Risk Management Process -- 1.6 Organizational Methods and Models for Risk Assessment -- 1.7 Defining Indicators for Risk Assessment in the Manufacturing Industry -- 1.8 Case Study -- 1.9 Conclusions -- Appendix A -- References -- 2 An Integrated Bayesian BWM and Classifiable TOPSIS Model for Risk Assessment -- 2.1 Introduction -- 2.2 Literature Review -- 2.2.1 FMEA and MCDM -- 2.2.2 BWM -- 2.3 The Proposed Risk Assessment Model -- 2.3.1 Bayesian BWM -- 2.3.2 Classifiable TOPSIS Technique -- 2.4 A Real-World Numerical Application -- 2.4.1 Problem Description -- 2.4.2 Applies Bayesian BWM to Obtain Risk Factor Weights -- 2.4.3 Using Bayesian BWM to Evaluate the Risk Scores of Failure Modes -- 2.4.4 Employs Classifiable TOPSIS to Rank Critical Failure Modes -- 2.5 Discussion and Conclusions -- References -- 3 A Modified Risk Prioritization Approach Using Best-Worst Method -- 3.1 Introduction -- 3.2 Literature Review -- 3.3 Methods -- 3.3.1 MCDM for Risk Assessment -- 3.3.2 FMEA -- 3.3.3 BWM -- 3.3.4 Proposed Framework -- 3.4 Case Study -- 3.4.1 Observed Manufacturing Plant -- 3.4.2 Application of the Proposed Framework -- 3.4.3 Analysis of the Result -- 3.5 Discussion -- 3.6 Conclusion -- References -- 4 Fuzzy Risk Assessment in the Presence of Uncertainties in Heterogeneous Preferences Elicitation and Reliability -- 4.1 Introduction -- 4.2 Literature Review -- 4.2.1 Z-Number -- 4.2.2 Grey Number -- 4.3 Method -- 4.3.1 Phase 1: Consensus Reaching -- 4.3.2 Phase 2: Conversion -- 4.3.3 Phase 3: Risk Assessment Evaluation -- 4.4 Theoretical Validation -- 4.5 Case Study: Fuzzy Risk Assessment in Electrical Arc Welding -- 4.6 Discussion.
4.7 Conclusion -- References -- 5 Assessment of COVID-19 Transmission Risk Through Fuzzy Inference System -- an Application for Mining Activities -- 5.1 Introduction -- 5.2 Literature Review -- 5.3 Methods -- 5.4 Case Study -- 5.5 Results -- 5.6 Discussion -- 5.7 Conclusion -- References -- 6 Simulation Output Analysis for Risk Assessment and Mitigation -- 6.1 Introduction -- 6.2 Literature Review -- 6.3 Systems Simulation for Risk Assessment and Mitigation -- 6.3.1 Systems Simulation -- 6.3.2 Steps Suggested for a Study Using Stochastic Simulation -- 6.3.3 Available Software for Stochastic Simulation -- 6.4 Output Analysis for Transient Simulations -- 6.4.1 A Simple Inventory Model -- 6.4.2 Properties of a Good Estimator -- 6.4.3 Estimation of Expected Values -- 6.4.4 Estimation of the Variance and Nonlinear Functions of Expectations -- 6.4.5 Parameter Uncertainty and Bayesian Estimation -- 6.4.6 Estimation of Risk Measures Based on Quantiles and M Estimators -- 6.5 Output Analysis for Steady-State Simulations -- 6.5.1 Risk Measures for Steady-State Simulations -- 6.5.2 Estimation of Performance Measures for Steady-State Simulations -- 6.5.3 Warming Up -- References -- 7 Cause-Effect Analysis, Barriers Identification, and Policy Implications for China's Energy Security -- 7.1 Introduction -- 7.2 Methods -- 7.2.1 Basic Procedure of FCM -- 7.2.2 Intuitionistic Fuzzy Set Theory -- 7.2.3 Intuitionistic FCM -- 7.3 Factors Identification -- 7.4 Scenario Simulations -- 7.4.1 Construction of IFCM -- 7.4.2 Scenario Descriptions -- 7.4.3 Simulation Results -- 7.5 Conclusions and Policy Implications -- References -- 8 Quantitative Risk Assessment and Management of Cash-In-Transit Vehicle Routing Problems -- 8.1 Introduction -- 8.2 Problem Description -- 8.2.1 CIT Business in China -- 8.2.2 Description of CTVRP -- 8.3 Methods of Risk Assessment.
8.3.1 Distance-Based Methods -- 8.3.2 Probability-Based Methods -- 8.3.3 Dissimilarity-Based Methods -- 8.3.4 Other Methods -- 8.4 A Demo Model of CTVRP -- 8.4.1 The CTVRP Model with Risk Constraints -- 8.4.2 Solution Algorithms of CTVRP -- 8.5 Discussions -- 8.6 Conclusions -- References -- 9 Mitigating Energy Supply Risks: Factors Identification and Pathway Selection for China's Renewable Energy Development Fuzzy PROMETHEE -- 9.1 Introduction -- 9.2 Potential Risks Affecting Renewable Energy Development -- 9.2.1 Technological Risks -- 9.2.2 Economic Risks -- 9.2.3 Social-Political Risks -- 9.2.4 Environmental Risks -- 9.2.5 A General Framework of Risks Affecting Renewable Energy Development -- 9.3 Method -- 9.3.1 Fuzzy Set and Fuzzy Numbers -- 9.3.2 The Method of PROMETHEE -- 9.3.3 Procedure of Fuzzy PROMETHEE -- 9.4 Results and Discussions -- 9.5 Conclusions -- References -- 10 Sustainability Risks of Resource-Exhausted Cities in China: A Principal Component Analysis -- 10.1 Introduction -- 10.2 Methodology and Data -- 10.2.1 The Principal Component Analysis -- 10.2.2 Sample Cities and Data -- 10.3 Structure Detection of Dataset -- 10.4 The Weights and Sustainability Performance Based on the Principal Component Analysis -- 10.5 Conclusions and Policies for Mitigating Sustainability Risks -- 10.6 Code Availability -- References -- Index.
Record Nr. UNINA-9910508477803321
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Sustainable Machining and Micro-machining / / by Wai Sze Yip, Suet To, Hongting Zhou, Jingzheng Ren
Sustainable Machining and Micro-machining / / by Wai Sze Yip, Suet To, Hongting Zhou, Jingzheng Ren
Autore Yip Wai Sze
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (201 pages)
Disciplina 333.7
Altri autori (Persone) ToSuet
ZhouHongting
RenJingzheng
Collana Industrial Ecology and Environmental Management
Soggetto topico Ecology
Sustainability
Environmental Sciences
ISBN 3-031-82986-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Definition concepts and framework of sustainable machining and micro machining -- Introduction to sustainable ultra precision machining -- The importance of machining parameters toward sustainable micro milling process -- Evaluation of sustainable machining in the view of triple bottom line -- Text mining in sustainable manufacturing for topic modelling -- Applications of sentiment analysis in sustainable manufacturing -- Stakeholder concerns in sustainable machining using social network analysis -- Investigations of sustainable manufacturing using social network analysis classification algorithm approach -- Challenges and future prospectives of sustainable machining.
Record Nr. UNINA-9910999784703321
Yip Wai Sze  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui