A Hybrid Multi-Objective Optimization Framework for Preliminary Process Design Based on Health, Safety and Environmental Impact

Teh, Shin Yee; Hong, Boon Hooi; Ling, Alex J. W.; Andiappan, Viknesh; Foo, Dominic C.Y.; Hassim, Mimi Haryani; Ng, Denny K. S.

doi:10.3390/pr7040200

Cited by 12 publications

(3 citation statements)

References 34 publications

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“…Hassim et al [67] developed the Inherent Occupational Health Index (IOHI) to evaluate the process in the initial stages of research and development based on the potential of working activities and process conditions that may harm workers. Later, Teh et al (2019) [68] extended it to the Health Quotient Index (HQI) to quantify the health risk from fugitive emissions. Further, they utilized ISI and HQI together with the Potential Environmental Index evaluated by Waste Reduction (WAR) algorithm to formulate an MOO problem for optimizing the 1,4-butanediol production process.…”

Section: Objectives Used For Moomentioning

confidence: 99%

Multi-Objective Optimization Applications in Chemical Process Engineering: Tutorial and Review

2020

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This tutorial and review of multi-objective optimization (MOO) gives a detailed explanation of the 5 steps to create, solve, and then select the optimum result. Unlike single-objective optimization, the fifth step of selection or ranking of solutions is often overlooked by the authors of papers dealing with MOO applications. It is necessary to undertake a multi-criteria analysis to choose the best solution. A review of the recent publications using MOO for chemical process engineering problems shows a doubling of publications between 2016 and 2019. MOO applications in the energy area have seen a steady increase of over 20% annually over the last 10 years. The three key methods for solving MOO problems are presented in detail, and an emerging area of surrogate-assisted MOO is also described. The objectives used in MOO trade off conflicting requirements of a chemical engineering problem; these include fundamental criteria such as reaction yield or selectivity; economics; energy requirements; environmental performance; and process control. Typical objective functions in these categories are described, selection/ranking techniques are outlined, and available software for MOO are listed. It is concluded that MOO is gaining popularity as an important tool and is having an increasing use and impact in chemical process engineering.

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Section: Objectives Used For Moomentioning

confidence: 99%

Multi-Objective Optimization Applications in Chemical Process Engineering: Tutorial and Review

2020

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“…However, there is no safety-instrumented function being conducted with a claimed safety integrity level [6,7]. Generally speaking, the process industrial systems mainly include petrochemical [3,4,8,9], petroleum [8,10,11], and chemical industries [12][13][14], hydrogen stations [15][16][17][18][19], liquefied natural gas [20,21], oil-and gas-producing companies [22], cryogenic fuel-loading systems [23,24], offshore drilling [25][26][27][28], etc.…”

Section: Introductionmentioning

confidence: 99%

Comprehensive Review of Safety Studies in Process Industrial Systems: Concepts, Progress, and Main Research Topics

Zhang

Ren

et al. 2023

Processes

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This paper focuses on reviewing past progress in the advancement of definitions, methods, and models for safety analysis and assessment of process industrial systems and highlighting the main research topics. Based on the analysis of the knowledge with respect to process safety, the review covers the fact that the entire system does not have the ability to produce casualties, health deterioration, and other accidents, which ultimately cause human life threats and health damage. And, according to the comparison between safety and reliability, when a system is in an unreliable state, it must be in an unsafe state. Related works show that the main organizations and regulations are developed and grouped together, and these are also outlined in the literature. The progress and current research topics of the methods and models have been summarized and discussed in the analysis and assessment of safety for process industrial systems, which mainly illustrate that the dynamic operational safety assessment under the big data challenges will become the research direction, which will change the future study situation.

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“…Teh et al [15] studied the fuzzy optimization approach that was applied to the economic performance, health, safety, and environmental impact of 1,4-butanediol production process. The developed input-output models were then optimized while using fuzzy optimization.…”

Section: Introductionmentioning

confidence: 99%

From Cardoon Lignocellulosic Biomass to Bio-1,4 Butanediol: An Integrated Biorefinery Model

et al. 2020

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Biorefineries are novel, productive models that are aimed at producing biobased alternatives to many fossil-based products. Biomass supply and overall energy consumptions are important issues determining the overall biorefinery sustainability. Low-profit lands appear to be a potential option for the sustainable production of raw materials without competition with the food chain. Cardoon particularly matches these characteristics, thanks to the rapid growth and the economy of the cultivation and harvesting steps. An integrated biorefinery processing 60 kton/y cardoon lignocellulosic biomass for the production of 1,4-butanediol (bio-BDO) is presented and discussed in this work. After designing the biorefinery flowsheet, the mass and energy balances were calculated. The results indicated that the energy recovery system has been designed to almost completely cover the entire energy requirement of the BDO production process. Despite the lower supply of electricity, the energy recovery system can cover around 78% of the total electricity demand. Instead, the thermal energy recovery system was able to satisfy the overall demand of the sugar production process entirely, while BDO purification columns require high-pressure steam. The thermal energy recovery system can cover around 83% of the total thermal demand. Finally, a cradle-to-gate simplified environmental assessment was conducted in order to evaluate the environmental impact of the process in terms of carbon footprint. The carbon footprint value calculated for the entire production process of BDO was 2.82 kgCO2eq/kgBDO. The cultivation phase accounted for 1.94 kgCO2eq/kgBDO, the transport had very little impact, only for 0.067 kgCO2eq/kgBDO, while the biorefinery phase contributes for 0.813 kgCO2eq/kgBDO.

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A Hybrid Multi-Objective Optimization Framework for Preliminary Process Design Based on Health, Safety and Environmental Impact

Cited by 12 publications

References 34 publications

Multi-Objective Optimization Applications in Chemical Process Engineering: Tutorial and Review

Multi-Objective Optimization Applications in Chemical Process Engineering: Tutorial and Review

Comprehensive Review of Safety Studies in Process Industrial Systems: Concepts, Progress, and Main Research Topics

From Cardoon Lignocellulosic Biomass to Bio-1,4 Butanediol: An Integrated Biorefinery Model

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