Sustainability-based optimization criteria for industrial symbiosis: the Symbioptima case

被引：18

作者：

Brondi, C. ^{[1
]}

Cornago, S. ^{[1
]}

Ballarino, A. ^{[1
]}

Avai, A. ^{[2
]}

Pietraroia, D. ^{[2
]}

Dellepiane, U. ^{[3
]}

Niero, M. ^{[4
]}

机构：

[1] ITIA CNR, Inst Ind Technol & Automat, Corti 12, I-20133 Milan, Italy

[2] D Ovidio 3, TTS, I-20131 Milan, Italy

[3] ACTOR ACT Operat Res, Nizza 45, I-00198 Rome, Italy

[4] DTU, Dept Management Engn, Div Quantitat Sustainabil Assessment, DK-2800 Lyngby, Denmark

来源：

25TH CIRP LIFE CYCLE ENGINEERING (LCE) CONFERENCE | 2018年 / 69卷

关键词：

LCA; LCSA; Industrial Symbiosis; Sustainable Development Goals; Optimization; LIFE-CYCLE ASSESSMENT; ENVIRONMENTAL BENEFITS; PARKS; LCA; MODEL;

D O I：

10.1016/j.procir.2017.11.026

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

The United Nations' Sustainable Development Goals require industrial infrastructures to provide a positive impact on society by reducing waste generation and resource consumption. The enhancement and optimization of symbiotic aspects in industry clusters can support the achievement of such goals. The present paper illustrates a new quantification methodology to foster the implementation of industrial symbiosis within existing industry clusters. A Java tool has been developed to track and optimize material and energy flows within different symbiosis scenarios. The quantitative assessment is focused on identifying environmental, social and cost gains for specific Key Performance Indicators, considering a comprehensive Life Cycle Sustainability Assessment (LCSA) perspective. Furthermore, multi-criteria optimization allows to identify heuristic solutions for symbiosis scenarios. The tool has been implemented with reference to a symbiosis case from the Steel Sector. Preliminary results evidence that industrial symbiosis and industrial sustainability are complementary but different areas. Moreover, concurrent applications of such paradigms introduce a number of new challenges and operational managerial issues to be addressed. (C) 2018 The Authors. Published by Elsevier B.V.

引用

页码：855 / 860

页数：6

共 23 条

[1] Fuzzy input-output model for optimizing eco-industrial supply chains under water footprint constraints [J].

Aviso, Kathleen B. ;

Tan, Raymond R. ;

Culaba, Alvin B. ;

Cruz, Jose B., Jr. .

JOURNAL OF CLEANER PRODUCTION, 2011, 19 (2-3) :187-196

[2] The organization of eco-industrial parks and their sustainable practices [J].

Bellantuono, Nicola ;

Carbonara, Nunzia ;

Pontrandolfo, Pierpaolo .

JOURNAL OF CLEANER PRODUCTION, 2017, 161 :362-375

[3]

Bertsimas D, 1997, INTRO LINEAR OPTIMIZ, V6, P479

[4] Industrial water management by multiobjective optimization: from individual to collective solution through eco-industrial parks [J].

Boix, Marianne ;

Montastruc, Ludovic ;

Pibouleau, Luc ;

Azzaro-Pantel, Catherine ;

Domenech, Serge .

JOURNAL OF CLEANER PRODUCTION, 2012, 22 (01) :85-97

[5]

Brondi C, 2017, EUROMA SUSTAINABLE O

[6] Independent information modules-a powerful approach for life cycle management [J].

Buxmann K. ;

Kistler P. ;

Rebitzer G. .

International Journal of Life Cycle Assessment, 2009, 14 (SUPPL. 1) :S92-S100

[7] Industrial symbiosis: Literature and taxonomy [J].

Chertow, MR .

ANNUAL REVIEW OF ENERGY AND THE ENVIRONMENT, 2000, 25 :313-337

[8]

Cradle to Cradle Products Innovation Institute, 2012, MAT HLTH ASS METH VE

[9] Using Life Cycle Assessment (LCA) to measure the environmental benefits of industrial symbiosis in an industrial cluster of SMEs [J].

Daddi, Tiberio ;

Nucci, Benedetta ;

Iraldo, Fabio .

JOURNAL OF CLEANER PRODUCTION, 2017, 147 :157-164

[10] Attributional and consequential LCA in the ILCD handbook [J].

Ekvall, Tomas ;

Azapagic, Adisa ;

Finnveden, Goran ;

Rydberg, Tomas ;

Weidema, Bo P. ;

Zamagni, Alessandra .

INTERNATIONAL JOURNAL OF LIFE CYCLE ASSESSMENT, 2016, 21 (03) :293-296

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