Quantitative tools for cultivating symbiosis in industrial parks; a literature review

Kastner, Catharine A.; Lau, Raymond; Kraft, Markus

doi:10.1016/j.apenergy.2015.05.037

Cited by 100 publications

(83 citation statements)

References 183 publications

(194 reference statements)

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“…Collectively, the tools reviewed emphasized on discovering "possibilities" of IS opportunities. Boix, Montastruc, Azzaro-Pantel, and Domenech (2015) and Kastner, Lau, and Kraft (2015) focused on reviewing quantitative tools for network optimization. The tools discussed focus on "optimality" in the context of IS-based water, energy, and/or material streams with higher data precision requirements.…”

Section: Previous Literature Reviews On Is Toolsmentioning

confidence: 99%

“…Third, current reviews focus on specific types of tools, like information systems (van Capelleveen et al, 2018;Grant et al, 2010) or optimization (Boix et al, 2015;Kastner et al, 2015), while there are other tools that include process simulation and design (Casavant & Côté, 2004), green social networking (Ghali, Frayret, & Robert, 2016), and heuristic visualization (Aid, Brandt, Lysenkova, & Smedberg, 2015).…”

Section: Motivating Factors For Another Literature Reviewmentioning

confidence: 99%

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Tools for promoting industrial symbiosis: A systematic review

Yeo

Masi

Low

et al. 2019

J of Industrial Ecology

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Industrial symbiosis (IS) employs a cross‐organizational perspective to seek synergistic pairings of one company's waste output to another company's input, enabled by interfirm cooperation through resource and information sharing. Orchestrating IS relationships among companies, however, remains a complex process. In the literature, a wide range of qualitative and quantitative tools have emerged, tackling issues ranging from identifying IS creation opportunities to performance evaluation. Thus far, the available literature has focused on separate aspects and perspective of IS creation. Each individual work contributes, in part, to the overall process of IS creation. The disparate perspectives provided by the literature reflect the fragmented nature of available tools supporting IS, which operate in isolation of each other. An encompassing view of tools supporting the process of IS creation is missing to date. Therefore, to fill this gap, this study aims to develop a more comprehensive description of the landscape of IS tools by analyzing the associated approaches, roles, and contribution of existing tools. Through this understanding, the insights gained can be used to aid future development and advancement of tools for IS practitioners.

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Section: Previous Literature Reviews On Is Toolsmentioning

confidence: 99%

Section: Motivating Factors For Another Literature Reviewmentioning

confidence: 99%

Tools for promoting industrial symbiosis: A systematic review

Yeo

Masi

Low

et al. 2019

J of Industrial Ecology

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“…These territorial aspects could strongly influence the development and the design of industrial symbioses (Cohen‐Rosenthal, ). Indeed, local stakeholders can take decisions according to these social, economic, and spatial characteristics (Kastner et al., ; Schiller et al., ). These decisions could lead to the development of IS for a specific location or to the improvement/evolution of a nonsymbiotic situation.…”

Section: Methodsmentioning

confidence: 99%

“…However, this type of issue is not identified as being highly significant in LCA standards (ISO14040 2006, ISO14044 2006, European Commission, ). Some literature reviews concerning LCA of IS exist but most of them focus on the improvement of IS according to, for example, a multiobjective approach (Boix, Montastruc, Azzaro‐Pantel, & Domenech, ), the optimization of the network structure (Kastner, Lau, & Kraft, ), or the social–material Network Analyses (Schiller, Penn, & Basson, ). These papers highlight the importance of environmental assessment for the IS case studies but rarely question the reliability of the comparison, which is often based on a reference scenario that is not especially ambitious such stand‐alone plant.…”

Section: Introductionmentioning

confidence: 99%

Life cycle assessment of industrial symbiosis: A critical review of relevant reference scenarios

Aissani

Lacassagne

Bahers

et al. 2019

J of Industrial Ecology

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This paper highlights the methods and parameters used to define and design a reference scenario to be compared with an industrial symbiosis (IS) scenario using the life cycle assessment (LCA) methodology. To this end, a critical review was conducted of 26 peer-reviewed papers using LCA in the field of IS. The analysis focuses on the definition and design of reference scenarios through five cross-analyses to determine correlations between the type and the number of reference scenarios and the type of IS scenarios studied and also some LCA characteristics such as the functional unit, the type of data used, and the use of sensitivity analysis. Results show that the definition of reference scenarios depends mainly on the type of IS scenario considered. For a current IS developed at an industrial scale, the suitable reference scenario is mainly a hypothetical nonsymbiotic reference scenario. For a prospective IS, the suitable reference scenario is mainly a current nonsymbiotic reference scenario. Due to this critical review, the problem of variability of reference scenarios emerges. To resolve it, the authors analyze different reference scenarios or use sensitivity analysis. What is more, territorial aspects are rarely taken into account in the design of reference scenarios. It is clearly a gap for LCA of IS because of the influence of territorial factors. The new research challenge is to include the consideration of territorial aspects to define and design the worst-and best-case reference scenarios to assess strict environmental performances of IS.

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“…Estimation and explanation models of sectors' energy-related CO 2 emissions have also been proposed in [12]. Quantitative tools and methods for the industrial energy and material symbiosis among companies in eco-industrial parks (EIPs) were examined [13]. A hierarchy model of EIPs, respecting the unit, process, plant and industrial network level (which has an advantage in comparison to the others) with advanced modelling approaches for describing each level of performance and efficient optimisation methodologies for solving complex EIP problems was developed.…”

Section: Introductionmentioning

confidence: 99%