An Assessment Tool for Reusability of Chemical Wastes Sangdae Parka* and Alastair Martina a School of Chemical Engineering and Analytical Science, The University of Manchester PO Box 88, Manchester, M60 1QD, United Kingdom Abstract This paper presents an assessment tool able to determine the practicality of opportunities to reuse for chemical wastes. In this study, the term - reuse has much wider concepts than simply recycling to a process. In other words, reuse in this case can include recycling, utilisation as a raw material for other processes, and particularly transformation of the waste to low or preferably high value added products. Preliminary solutions for the reuse of a chemical waste can be generated by various methods such as waste characterisation, brainstorming, desk research, and the like. Each preliminary solution is assessed according to three different categories - Technical, Economic, and Environmental & Regulatory, in order to determine the viability for reuse. In this work, specific questionnaires pertaining to the three categories were circulated to collaborating companies in order to set up feasible boundaries of each category in terms of the reuse of a waste. Based on the replies, lower boundary for each category was determined, and then the preliminary solutions were finally ranked. The approach proposed was applied to industrial examples, and the high-dimensional results obtained were visually represented by the parallel coordinate graphic method. Although the selection or rejection of an opportunity was highly dependent on the boundaries given, the methodology proposed could provide a good guideline to decision-makers for the selection or rejection of the reuse opportunities available. Keywords: assessment tool, waste reusability, parallel coordinates 1. Introduction In general, a waste is defined as any solid, liquid, or contained gaseous material that is discarded by being disposed of, burned or incinerated, or recycled. There are some exceptions for recycled materials. The waste can be a by-product of a laboratory operation, a process, a commercial reagent, or a product that is no longer wanted or needed. The generation of wastes has been one of the major environmental problems of production companies. For the last 15 years, there has been a great deal of effort applied to the development of methods which can be used to minimise or even to prevent the generation of wastes. As a result of the efforts, many works have been published on waste minimisation (Cohen and Allen, 1992, Douglas, 1992, Wang and Smith, 1994), the environmental assessment of wastes (Baumann and Rydberg, 1994, Koller et al., 2000, Burgess and Brennan, 2001), and minimisation of environmental impact (Stefanis et al., 1995 and 1996). Potentially, many of the wastes which are currently disposed of have a high possibility to be sold after converting into other materials or even as they stand. Taking waste paper crumb as an example, the principal components of this material are cellulose fibre and filler. Both materials are potentially of high value. It is the secondary properties, such as fibre length and colour, which impose on this material the status of a waste. Of course, the valuation of the waste stream is not a simple task. However, it is worth considering the potential value of wastes prior to disposing of them. In this sense, the objective of this work is therefore, to develop an assessment tool which will guide the possibility of reusing the wastes currently being discarded. 2. Assessment for Reusability of Wastes As a result of the previous efforts for waste minimisation as well as the increasing pressure to recognise environmental and human concerns, many manufacturing companies have already documented their wastes. In this sense, it is assumed that a waste stream has been designated as suitable for consideration. If this is not the case, of course, an investigation of a site to classify what is an appropriate waste should be considered prior to an assessment of reusability. In this study, the methodology is intended primarily for use on unavoidable waste * Corresponding author: E-mail: s.park@manchester.ac.uk, Tel.: +44-161-306-4345, Fax: +44-161-306-4399 streams which will be high-priority waste streams from the viewpoint of the company. When the waste streams have been identified as suitable for consideration the data gathering can begin. 2.1 Characterisation of Waste Each designated waste stream will be thoroughly but efficiently characterised in order to provide vital information concerning the material to be used during the ideas generation stage. This will involve work to be conducted on-site and with representative samples of the waste material, as well as work conducted off-site, including gathering information from a variety of sources to build a portfolio of relevant worldwide best practice in the field of waste utilization. The following works can be carried out with the collaborating company; (i) Investigation for process history of the waste and the overall operation of the site. It may include a relatively simple block process flow diagram just showing the main plant items, the flow of materials and the origin of the waste where in the process it arose. (ii) Time spent on a site visit to observe the operation. This time can also be spent obtaining samples to be taken away for testing as necessary. Of course, samples should be taken according to established protocols. It could be worthwhile sampling waste streams as close to the point of origin as possible, particularly where individual waste streams are later mixed to produce a single composite stream for disposal. In summary, the information which can be obtained from on-site work will be the quantity of waste being produced, the current destination of the waste streams, the true cost of disposing of the waste, regulations covering the treatment or use of the waste streams, and any other existing facts the company has already examined in terms of the waste streams. On the other hand, a significant part of the off-site work will involve building up knowledge of the physical characteristics of the waste material and that could involve timeconsuming work in the laboratory. It is up to the data gatherer to decide what physical characteristics of the waste material are important at this stage of the investigation. As a guideline, the data gathering here is intended to eventually provide information that will be valuable during ideas generation stage. It is important not to spend too much time in the laboratory obtaining information that does not add significantly to the data gathered from the site visits and communication with the company. However, if the waste material from a company is relatively unknown some work will be inevitable since some basic information concerning the waste such as the appearance, composition, etc. needs to be known prior to ideas generation stage. The other major part of off-site work will involve investigating work that has been performed world-wide concerning the possibility of further uses for the waste stream, for example, works carried out on any material that shares characteristics similar to those of the waste material. Subsequently, the salient information gathered from on- and off-site works will be assembled into a concise briefing document suitable to be circulated amongst any parties involved in the project. As well as the hard facts this document provides a history of the waste material enabling rapid appreciation of the material and its origins from a point of zero knowledge. 2.2 Generation of Ideas At this stage information gathered from a diverse range of sources will be combined to form an encompassing base of knowledge comprising a multitude of preliminary solutions for utilizing the waste material. A preliminary solution is one whose advantages and disadvantages have not been established in detail, but is identified as worthy of investigation. All the preliminary solutions will be gathered from a number of sources including desk research, consultation with industrial and academic contacts, conferences and workshops or brainstorming sessions. As a result, various preliminary solutions will be generated and these ideas will be taken forward to the next stage, i.e. Assessment for the reusability. 2.3 Assessment for Reusability The objective of this stage is to select the most promising preliminary solutions without expending undue resources. A large number of preliminary solutions may be generated in the previous stage and it would be unwieldy and inefficient to consider all the ideas in detail. Each preliminary solution will be analysed individually using a number of criteria, broadly divided into three categories; technical, economic and environmental and regulatory. In addition, variability factors for the criteria are also considered to reflect the possibilities of the changes for the criteria. All of these criteria are subjected to a brief but well-informed analysis to give a first best estimate and the results combined in a process known as a multi-criteria scoring system. A multi-criteria scoring system provides a method to evaluate the overall merit of a solution on the basis of a number of potentially conflicting and diverse criteria constrained by lower boundaries of acceptability by measuring the scores according to a set of criteria in standardised units and combining scores using simple mathematical techniques. This involves drawing up a unique profile for each preliminary solution illustrating its strengths and weaknesses. Technical score for a preliminary solution k ( Technical ): It reflects how well-established the technology k required by the preliminary solution is, the amount of research that has been conducted into the preliminary solution and how much more will be needed, any reliance on seasonal demand for a product, whether the preliminary solution provides a safe final destination for the waste material for which no further attention is due, and whether the preliminary solution can provide a single destination for the entirety of the waste material. Economic score for a preliminary solution k ( Economic ): It is given after first estimates of capital cost, k operating cost and profit margins. It may also reflect saleability or marketability for the solution. Environmental and regulatory score for a preliminary solution k ( Environ&regulatory): It is measured after k considering the flexibility of the location of any new operations required by the realisation of the preliminary solution, the possibility of creating new job opportunities by expanding operations, judging whether public concern is likely to arise due to the preliminary solution being implemented, whether any discharges needing attention will result from the preliminary solution, whether the solution will require the construction of large structures, the permits required to implement the preliminary solution and the likelihood of future regulations impacting on the continuation of the solution. In this study, all scores of the three criteria for each preliminary solution have been estimated as a result of consultation with industrial and academic contacts. Table 1. Company priority questionnaire Statements Please circle a number from 1 to 5 indicating how much you agree with the following statements (5 being to agree the most strongly) Q1. We would prefer to find technology that has been wellestablished for a significant period. Q2. We would be interested in involving a continuous process rather than a batch process. Q3. We are willing to invest significant time and money researching an alternative destination for our waste. Q4. It is a priority for us to find an alternative destination for our waste that will not involve investing significant capital. Q5. It is a priority for us to find an alternative destination for our waste that will not involve high operating costs. Q6. It is a priority for us to find an alternative destination for our waste that gives a high financial return. Q7. We are interested in an alternative destination for our waste that creates a positive social impact in an area. Q8. We would take strenuous measures to ensure that few harmful emissions are resulted in. Q9. We would prefer to find an alternative destination for our waste that will not involve having to apply for any permits. Strongly disagree Strongly agree 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 Lower boundary of acceptability of each criterion i (LBi): These reflect the minimum levels of concern regarding the three criteria (Technical, Economic and Environmental & regulatory) in the company. In this study, in particular, questionnaires were circulated to the company in order to find out indirectly what level of concern for each criterion the company has. However, it is possible to do this directly by asking the company regarding to the minimum levels for the criteria. The questionnaire circulated is shown in Table 1. In the table, first three questions (Q1 to Q3) are utilised to estimate the lower boundary for technical criterion of the company, next three questions (Q4 to Q6) are used for measuring the lower boundary of economic criterion, the lower boundary for environmental and regulatory one is estimated by using the remaining questions (Q7 to Q9). It is worth noting that the number of questions needs to be extended in order to observe the company’s concern more accurately. In this study, the average value of the scores obtained from questionnaire was simply used. In other words, the lower boundary for each criterion (LBi) can be written as follows. LBi S jQi | Qi | j , iI = {Technical, Economic, Environ & regulatory} (1) In Equation (1), Sj denotes the score marked for the question j, and subset Qi indicates the questions related to the criterion i, whereas |Qi| means the number of questions included in the subset. Based on the questionnaire shown in Table 1 above, the subset QTechnical = {Q1, Q2, Q3}, QEconomic = {Q4, Q5, Q6} and QEnviron&regulatory = {Q7, Q8, Q9}. In this case, the number of questions for each criterion are equal to 3, i.e. |Qi|=3. As a result, the lower boundaries of each criterion can be determined as LBTechnical = (SQ1+SQ2+SQ3)/3, LBEconomic = (SQ4+SQ5+SQ6)/3 and LBEnviron&regulatory = (SQ7+SQ8+SQ9)/3. Graphical interpretation: The concept of the assessment of reusability addressed above can be readily illustrated by a graphical representation called parallel coordinates, where a point in m-dimensional space is mapped onto a point in 2-dimensional space. Figure 1 shows an example of parallel coordinates approaches where 5 different preliminary solutions obtained from ideas generation stage were mapped in 2-dimensional space. The lower boundaries obtained from the questionnaire are also shown. It shows both desirable and undesirable areas, which are separated from the lower bounds of each criterion. It can be seen that only Solution 1 met company’s criteria since all scores for the criteria are greater than their lower bounds. Thus Solution 1 will be the most favourable solution. Although the graphical representation has an advantage for making those easier to understand, it is not straightforward to determine the prioritisation for the remaining solutions. This disadvantage can be overcome by obtaining a single total score for each preliminary solution. The details for measuring the total score will be addressed in the following sections. : Solution 4 : Solution 5 : Solution 1 : Solution 2 : Solution 3 Scores 5 Desirable area 4 3 Lower bounds 2 1 Undesirable area 0 Technical Economic Environmental & regulatory Criteria Figure 1. An example of parallel coordinates approaches k Variability factors of each criterion i ( wi ): These reflect the possibility of changes in the near future for the given scores. Suppose that the preliminary solution generated is manufacturing of biofuel from vegetable oils. It may receive lower scores for technical and economic criteria but a high score for environmental and regulatory. However, the score for technical criterion is likely to move into the area of high score soon, since currently research and development are ongoing and many practical demonstrations have been reported. In this case, a technical score with a variability factor will be more realistic and reasonable than one without a variability factor. As another reason, the scores obtained may need correction parameters to allow for uncertainty caused by the rapid estimation of the scores. All of the criteria have been analysed in a relatively imprecise and superficial way. In this study, variability factors are given between -1 and 1, i.e.-1 wik 1. As a result, the preliminary solutions will be differentiated depending on the variability factors given even though they have the similar reusability in the beginning. In the same was as determining the scores for the criteria, variability factors have been estimated by industrial and academic contacts. Multi-criteria scoring system: In this stage, integration between individual scores and the corresponding variability factors is performed, as shown in Equation (2). Finally, each preliminary solution has one value as a total score and it is possible for all the preliminary solutions to be compared and discriminated between. TS k (1 wik ) ik , k, I = {Technical, Economic, Environ & regulatory} (2) iI In Equation (2), TSk means total score of the preliminary solution k, wik is the variability factor of the criterion i for the preliminary solution k, and δik indicates the estimated score of the criterion i for the solution k. After estimation of total scores for all preliminary solutions by using Equation (2), it will be possible to determine the most favourable solution (MFS) by Equation (3). MFS max{ TS k } (3) k Consequently, the profiles for all the preliminary solutions are compared as shown in Figure 2 and the most favourable solution (MFS) selected as potential use. The remaining preliminary solutions, however, will be retained as reserved use, for possible consideration in the future. A List of Preliminary Solutions Economic Score Technical Score Environmental & Regulatory Score Multi-criteria Scoring System Lower bounds & Variability factors Reserved Uses Potential Uses Figure 2. A schematic diagram for multi-criteria scoring system 3. Case Study This example describes the application of the method developed above to a waste stream produced by a manufacturer of fine chemicals. As a designated waste stream, the company produces 4,000 tonnes of the waste every year that is sent to landfill at a cost of £80 per tonne, resulting in a total disposal cost of £320k per year. After investigating the waste stream, it was identified that the waste consists of a combination of impurities together with two of the main products of the company. The impurities formed about 10 wt% of the wastes. If the impurities are eliminated, the remaining components of the waste stream can either be utilised as a raw material for producing other products or recycled to the existing plant. In this stage, all characteristics of the impurities were identified by simple laboratory chemical and physical analyses. An extensive survey of literature, consulting experts and holding a brainstorming session that involved the main parties generated a list of 8 preliminary solutions that could be applied. During this stage, additionally, it was estimated that the possible value of the material in the waste is a minimum £360k per year if it could be processed suitably. The assessment of the 8 preliminary solutions was carried out according to the method described above in order to identify the most suitable potential use of the waste. First of all, a questionnaire was sent to the company in order to understand and prioritise the concerns of the company regarding to the three categories (Technical, Economic and Environmental & Regulatory). As a result, the lower bounds for technical, economic, and environmental and regulatory were estimated as 4.14, 3.33 and 3.92, respectively. During the period, scores and variability factors of three criteria for all preliminary solutions have been estimated by academic and industrial contacts. Table 2 shows the scores and variability factors for the 8 preliminary solutions, while all preliminary solutions were mapped in a parallel coordinate graph as shown in Figure 3. In the graph, both scores with and without variability factors for each preliminary solution were also illustrated, i.e. the highlighted circles with numbers are the scores with variability factors. As a result of the assessment, preliminary solution 8 was chosen as the potential use, while the solutions 4 and 7 were held in reserve for future investigation. Table 2. Scores and variability factors for the preliminary solutions estimated Preliminary solutions (k) 1 2 3 4 5 6 7 8 Technical criterion Economic criterion Environmental & regulatory criterion δk wk δk wk δk wk 1.0 2.0 4.0 4.5 3.0 4.0 2.8 3.5 0.3 0.3 0.3 0.3 0.3 0.3 0.3 0.3 4.0 3.9 2.0 2.0 2.5 1.0 4.5 5.0 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 4.0 4.0 4.0 4.0 4.0 4.0 4.0 4.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 TSk 9.70 10.89 11.40 12.05 10.65 10.30 12.59 14.05 Scores 6 4 3 5 8 4 4 8 6 6 3 8 3 5 7 2 8 7 5 1 2 7 1 2 7 2 Lower bounds 5 2 5 4 3 4 3 Score without factors 1 1 1 6 0 Technical Score with factors 6 Economic Environmental & regulatory Criteria Figure 3. Graphical analysis by the parallel coordinate graph 4. Conclusions and Discussion In this study, a systematic approach to assess the reusability for chemical wastes was proposed. As described in the earlier sections, various preliminary solutions for the reuse of a waste could be obtained through brainstorming, desk research and workshops or conferences. For the preliminary solutions generated, three criteria, i.e. technical, economic, environmental & regulatory were considered in order to identify advantages and disadvantages of each preliminary solution more efficiently. On the basis of each criterion, individual score and the corresponding variability factor for a preliminary solution were estimated by industrial and academic contacts. As a result, the total score for each preliminary solution was evaluated, and the preliminary solutions could be differentiated between to determine the most favourable solution and reserved uses. The parallel coordinate graphic method was utilised to visualise the high-dimensional results. As shown in the case study, the proposed approach could handle the industrial example, and the most favourable solution and the reserved uses could be obtained. The benefits of the proposed approach will be (i) improvement of profitability by transforming costly wastes into valuable products, (ii) enhancement of the company’s environmental profile, and (iii) protection against current and/or future regulations. Nevertheless, it should be noted that a much more indepth analysis and a full-scale feasibility study for the advantages of the most favourable solution selected should be carried out before the solution is implemented in full. References Baumann, H. and T. Rydberg, 1994, Life cycle assessment, J. Cleaner Prod. 2, 1. Burgess, A.A. and D.J. Brennan, 2001, Application of life cycle assessment to chemical processes, Chemical Engineering Science 56. Cohen, Y. and D. Allen, 1992, An integrated approach to process waste minimization research, J. of Hazardous Materials, 29. Douglas, J.M., 1992, Process synthesis for waste minimization, Ind. Eng. Chem. Res., 31, 43. Koller, G., U. Fischer and K. Hungerbuhler, 2000, Assessing safety, health, and environmental impact early during process development, Ind. Eng. Chem.. Res. 39, 4. Stefanis, S.K., A.G. Livingston and E.N. Pistikopoulos, 1995, Minimizing the environmental impact of process plants: a process system methodology, Computers Chem.. Engng., 19 Supplements. Stefanis S.K., A. Buston, A.G. Livingston and E.N. Pistikopoulos, 1996, A methodology for Environmental impact minimization: Solvent design and reaction path synthesis issues’, Computers Chem.. Engng., 20S. Wang, Y.P. and R. Smith, 1994, Wastewater minimization, Chem. Eng. Sci., 49, 7. Acknowledgement The authors acknowledge the financial support provided by the TW2P (Transformation of Waste to Products) project, which is funded by Northwest Development Agency (NWDA), a Regional Development Agencies in England. The authors also acknowledge support provided by Environlink Northwest and Enviros Consulting Limited.