Search

This paper presents a novel Computer Aided Molecular Design (CAMD) methodology for the design of solvents with consideration of environmental impact during the extraction and recovery processes. Throughout the years, CAMD techniques have been widely applied to design novel molecules for various applications, especially solvents. Most of the works in this area are only focusing on designing solvents that can achieve its functionality. However, limited works consider safety, health and environmental impacts of the process in which the solvent is applied. In this work, a quantitative assessment of the total environmental burden for solvent recovery process is incorporated into a single stage CAMD framework. The CAMD formulation includes molecular properties that affect the quantitative assessment of the environmental impact of a process. A multi-objective solvent design framework is then solved using Fuzzy Analytic Hierarchy Process (FAHP) weighting approach to design solvents that satisfy various target properties. With this approach, the generated solvents can simultaneously improve the overall environmental characteristic of a process and give a better balance of performance for a set of predefined properties. To illustrate the proposed methodology, a case study on solvent design for residual oil extraction from palm pressed fibre is presented. [ABSTRACT FROM AUTHOR]

In this paper, a novel Computer Aided Molecular Design (CAMD) framework is developed to solve multi-objective molecular design problems. CAMD can be formulated as a multi-objective optimisation problem when there are multiple target properties to be optimised simultaneously. A major obstacle faced by multi-objective CAMD problems is the difficulty in assigning weighting factors to the target properties, since the relative importance of these factors is not always defined. It is particularly difficult to compare target properties which belong to different categories, such as physicochemical, safety, health and environmental properties, on a common scale. This paper presents a systematic CAMD algorithm built on Fuzzy Analytic Hierarchy Process (FAHP) to deal with the ambiguity involved in evaluating the weights of target properties in multi-objective CAMD problem. Instead of using exact numerical values, FAHP approach expresses the pairwise comparison of target properties through triangular fuzzy numbers, which allow the degree of confidence of decision maker to be quantified. Hence, the proposed approach can address the uncertainties arising from ambiguity involved during value judgement elicitation in multi-objective CAMD problems. The solutions generated provide a better balance of performance for a set of identified target properties. The proposed methodology is illustrated through a case study on designing a better solvent for extracting residual oil from palm pressed fibre. [ABSTRACT FROM AUTHOR]