Process Design and Sustainable Development
Process design deals with the most important long-term engineering decisions in the chemical and process industries. It determines process economics, environmental impacts, and workers' wellbeing—the three pillars of sustainable development. The United Nations’ resolution of 2015 defined 17 Sustaina...
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| Ձևաչափ: | Online |
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| Լեզու: | անգլերեն |
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MDPI - Multidisciplinary Digital Publishing Institute
2024
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| Առցանց հասանելիություն: | ONIX_20240514_9783725807079_410 |
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| _version_ | 1869527461155307520 |
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| collection | Directory of Open Access Books |
| description | Process design deals with the most important long-term engineering decisions in the chemical and process industries. It determines process economics, environmental impacts, and workers' wellbeing—the three pillars of sustainable development. The United Nations’ resolution of 2015 defined 17 Sustainable Development Goals (SDGs); among the most important ones is Goal No. 12: “Ensure sustainable consumption and production patterns.” It includes 11 targets to be achieved over the next decade. Three of these targets are of utmost importance to industrial development by 2030: achieving the sustainable management and efficient use of natural resources; achieving the environmentally sound management of chemicals and all types of waste throughout their life cycle and significantly reducing their release into air, water, and soil; substantially reducing waste generation through prevention, reduction, recycling, and reuse. SDG 12 includes the consumption of raw materials, energy, water, and other resources used in process industries and their value chains. It is embracing the circular economy, resource efficiency, zero waste, and design for the environment (eco-design) by investing in innovation, research, and education to redesign the economy and update pollution strategies and industrial policies. Industry 4.0 brings about artificial intelligence, the Internet of Things, big data, automation, robotics, and process intensification. All these changes require a rapid adaptation of process design for sustainable development, which is the topic covered in this reprint. |
| format | Online |
| id | doab-20.500.12854ir-137814 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1378142024-05-14T14:34:07Z Process Design and Sustainable Development Glavič, Peter rheometer quality function deployment design Fischer Tropsch syngas CFD entrapped cobalt catalyst thermal management design process innovation responsible design sustainable design sustainable innovation slime fluidized bed mechanism model boiler thermal efficiency simulation cooperative optimization maintenance scheduling fouling flexibility heat exchanger process design sustainable development chemical industry process industry megatrends design tools Europe 2020 sustainable growth resource efficiency IO analysis CO2 emission ICT service ICT manufacturing electrostatic desalting droplet collision mathematical model emulsion breakage natural convection solar dryer electric convective dryer brewer’s spent grains waste valorization artificial neural networks computational fluid dynamics soft computing genetic algorithms product scheduling heuristic methods sustainability engineering principle responsibility project management maturity business excellence Industry 4.0 EFQM watermelon rind by-product multiobjective optimization neural network modeling electrical vehicle transition multi-criteria decision making ANP DEMATEL SDG 12 waste heat recovery damage detection non-destructive testing thermal filming digital twin optimization influencing factors n/a Process design deals with the most important long-term engineering decisions in the chemical and process industries. It determines process economics, environmental impacts, and workers' wellbeing—the three pillars of sustainable development. The United Nations’ resolution of 2015 defined 17 Sustainable Development Goals (SDGs); among the most important ones is Goal No. 12: “Ensure sustainable consumption and production patterns.” It includes 11 targets to be achieved over the next decade. Three of these targets are of utmost importance to industrial development by 2030: achieving the sustainable management and efficient use of natural resources; achieving the environmentally sound management of chemicals and all types of waste throughout their life cycle and significantly reducing their release into air, water, and soil; substantially reducing waste generation through prevention, reduction, recycling, and reuse. SDG 12 includes the consumption of raw materials, energy, water, and other resources used in process industries and their value chains. It is embracing the circular economy, resource efficiency, zero waste, and design for the environment (eco-design) by investing in innovation, research, and education to redesign the economy and update pollution strategies and industrial policies. Industry 4.0 brings about artificial intelligence, the Internet of Things, big data, automation, robotics, and process intensification. All these changes require a rapid adaptation of process design for sustainable development, which is the topic covered in this reprint. 2024-05-14T14:34:04Z 2024-05-14T14:34:04Z 2024 book ONIX_20240514_9783725807079_410 9783725807079 9783725807086 https://directory.doabooks.org/handle/20.500.12854/137814 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/9049 https://mdpi.com/books/pdfview/book/9049 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-0708-6 10.3390/books978-3-7258-0708-6 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725807079 9783725807086 332 open access |
| spellingShingle | rheometer quality function deployment design Fischer Tropsch syngas CFD entrapped cobalt catalyst thermal management design process innovation responsible design sustainable design sustainable innovation slime fluidized bed mechanism model boiler thermal efficiency simulation cooperative optimization maintenance scheduling fouling flexibility heat exchanger process design sustainable development chemical industry process industry megatrends design tools Europe 2020 sustainable growth resource efficiency IO analysis CO2 emission ICT service ICT manufacturing electrostatic desalting droplet collision mathematical model emulsion breakage natural convection solar dryer electric convective dryer brewer’s spent grains waste valorization artificial neural networks computational fluid dynamics soft computing genetic algorithms product scheduling heuristic methods sustainability engineering principle responsibility project management maturity business excellence Industry 4.0 EFQM watermelon rind by-product multiobjective optimization neural network modeling electrical vehicle transition multi-criteria decision making ANP DEMATEL SDG 12 waste heat recovery damage detection non-destructive testing thermal filming digital twin optimization influencing factors n/a Process Design and Sustainable Development |
| title | Process Design and Sustainable Development |
| title_full | Process Design and Sustainable Development |
| title_fullStr | Process Design and Sustainable Development |
| title_full_unstemmed | Process Design and Sustainable Development |
| title_short | Process Design and Sustainable Development |
| title_sort | process design and sustainable development |
| topic | rheometer quality function deployment design Fischer Tropsch syngas CFD entrapped cobalt catalyst thermal management design process innovation responsible design sustainable design sustainable innovation slime fluidized bed mechanism model boiler thermal efficiency simulation cooperative optimization maintenance scheduling fouling flexibility heat exchanger process design sustainable development chemical industry process industry megatrends design tools Europe 2020 sustainable growth resource efficiency IO analysis CO2 emission ICT service ICT manufacturing electrostatic desalting droplet collision mathematical model emulsion breakage natural convection solar dryer electric convective dryer brewer’s spent grains waste valorization artificial neural networks computational fluid dynamics soft computing genetic algorithms product scheduling heuristic methods sustainability engineering principle responsibility project management maturity business excellence Industry 4.0 EFQM watermelon rind by-product multiobjective optimization neural network modeling electrical vehicle transition multi-criteria decision making ANP DEMATEL SDG 12 waste heat recovery damage detection non-destructive testing thermal filming digital twin optimization influencing factors n/a |
| topic_facet | rheometer quality function deployment design Fischer Tropsch syngas CFD entrapped cobalt catalyst thermal management design process innovation responsible design sustainable design sustainable innovation slime fluidized bed mechanism model boiler thermal efficiency simulation cooperative optimization maintenance scheduling fouling flexibility heat exchanger process design sustainable development chemical industry process industry megatrends design tools Europe 2020 sustainable growth resource efficiency IO analysis CO2 emission ICT service ICT manufacturing electrostatic desalting droplet collision mathematical model emulsion breakage natural convection solar dryer electric convective dryer brewer’s spent grains waste valorization artificial neural networks computational fluid dynamics soft computing genetic algorithms product scheduling heuristic methods sustainability engineering principle responsibility project management maturity business excellence Industry 4.0 EFQM watermelon rind by-product multiobjective optimization neural network modeling electrical vehicle transition multi-criteria decision making ANP DEMATEL SDG 12 waste heat recovery damage detection non-destructive testing thermal filming digital twin optimization influencing factors n/a |
| url | ONIX_20240514_9783725807079_410 |