Renewable energy in eco-industrial parks and urban-industrial symbiosis: A literature review and a conceptual synthesis

Abstract Replacing fossil fuels with renewable energy sources is considered as an effective means to reduce carbon emissions at the industrial level and it is often supported by local authorities. However, individual firms still encounter technical and financial barriers that hinder the installation of renewables. The eco-industrial park approach aims to create synergies among firms thereby enabling them to share and efficiently use natural and economic resources. It also provides a suitable model to encourage the use of renewable energy sources in the industry sector. Synergies among eco-industrial parks and the adjacent urban areas can lead to the development of optimized energy production plants, so that the excess energy is available to cover some of the energy demands of nearby towns. This study thus provides an overview of the scientific literature on energy synergies within eco-industrial parks, which facilitate the uptake of renewable energy sources at the industrial level, potentially creating urban-industrial energy symbiosis. The literature analysis was conducted by arranging the energy-related content into thematic categories, aimed at exploring energy symbiosis options within eco-industrial parks. It focuses on the urban-industrial energy symbiosis solutions, in terms of design and optimization models, technologies used and organizational strategies. The study highlights four main pathways to implement energy synergies, and demonstrates viable solutions to improve renewable energy sources uptake at the industrial level. A number of research gaps are also identified, revealing that the energy symbiosis networks between industrial and urban areas integrating renewable energy systems, are under-investigated.

[1]  J. Ehrenfeld,et al.  Industrial Ecology in Practice: The Evolution of Interdependence at Kalundborg , 1997 .

[2]  Brian Vad Mathiesen,et al.  4th Generation District Heating (4GDH) Integrating smart thermal grids into future sustainable energy systems , 2014 .

[3]  Yi-Ming Wei,et al.  Global transition to low-carbon electricity: A bibliometric analysis , 2017 .

[4]  Sheila Samsatli,et al.  A general mixed integer linear programming model for the design and operation of integrated urban energy systems , 2018, Journal of Cleaner Production.

[5]  M. Chertow,et al.  Scholarship and Practice in Industrial Symbiosis: 1989–2014 , 2016 .

[6]  João Patrício,et al.  Enabling industrial symbiosis collaborations between SMEs from a regional perspective , 2018, Journal of Cleaner Production.

[7]  Mohammad Reza Mohammadi,et al.  Optimal management of energy hubs and smart energy hubs – A review , 2018, Renewable and Sustainable Energy Reviews.

[8]  L. Vandevelde,et al.  Towards low carbon business park energy systems: Classification of techno-economic energy models , 2014 .

[9]  Kyung-Taek Kim,et al.  Measuring the efficiency of the investment for renewable energy in Korea using data envelopment analysis , 2015 .

[10]  M. Mercedes Maroto-Valer,et al.  An overview of current status of carbon dioxide capture and storage technologies , 2014 .

[11]  Yongming Han,et al.  A novel DEACM integrating affinity propagation for performance evaluation and energy optimization modeling: Application to complex petrochemical industries , 2019, Energy Conversion and Management.

[12]  Wolf Fichtner,et al.  Inter-firm energy supply concepts: an option for cleaner energy production , 2002 .

[13]  Kari Alanne,et al.  Solar energy utilization patterns for different district typologies using multi-objective optimization: A comparative study in China , 2017 .

[14]  Qingsong Wang,et al.  Addressing the efficiency of the core ecological industrial chain: A DEA approach , 2017 .

[15]  B. Rimini,et al.  Distributed renewable energy generation: a critical review based on the three pillars of sustainability , 2018 .

[16]  Liang Dong,et al.  Feasibility assessment of the use of power plant-sourced waste heat for plant factory heating considering spatial configuration , 2014 .

[17]  Beliz Ozorhon,et al.  Generating a framework to facilitate decision making in renewable energy investments , 2018, Renewable and Sustainable Energy Reviews.

[18]  Gioacchino Nardin,et al.  Planning and design of sustainable smart multi energy systems. The case of a food industrial district in Italy , 2018, Energy.

[19]  Kankar Bhattacharya,et al.  Optimal Operation of Industrial Energy Hubs in Smart Grids , 2015, IEEE Transactions on Smart Grid.

[20]  M. Jaber,et al.  Extending industrial symbiosis to residential buildings: A mathematical model and case study , 2018 .

[21]  Raimund Bleischwitz,et al.  Review of the development of China's Eco-industrial Park standard system , 2019 .

[22]  X. Xing,et al.  Optimal design of distributed energy systems for industrial parks under gas shortage based on augmented ε-constraint method , 2019, Journal of Cleaner Production.

[23]  Y. Ban,et al.  Assessing the performance of carbon dioxide emission reduction of commercialized eco-industrial park projects in South Korea , 2016 .

[24]  Hao Wu,et al.  Production capacity analysis and energy optimization of complex petrochemical industries using novel extreme learning machine integrating affinity propagation , 2019, Energy Conversion and Management.

[25]  Mohamed Haouari,et al.  Review of optimization techniques applied for the integration of distributed generation from renewable energy sources , 2017 .

[26]  J. Korhonen Co-production of heat and power: an anchor tenant of a regional industrial ecosystem , 2001 .

[27]  F. Boons,et al.  Toward a research agenda for policy intervention and facilitation to enhance industrial symbiosis based on a comprehensive literature review , 2014 .

[28]  Changhao Liu,et al.  Strategies for reducing greenhouse gas emissions at an industrial park level: a case study of Debert Air Industrial Park, Nova Scotia , 2016 .

[29]  Gregory Dobler,et al.  Patterns of waste generation: A gradient boosting model for short-term waste prediction in New York City. , 2017, Waste management.

[30]  Seddik Bacha,et al.  Photovoltaics in Microgrids: An Overview of Grid Integration and Energy Management Aspects , 2015, IEEE Industrial Electronics Magazine.

[31]  C. Rammer,et al.  Energy transition in Germany and regional spill-overs: The diffusion of renewable energy in firms , 2018, Energy Policy.

[32]  Wei-Jen Lee,et al.  The optimal structure planning and energy management strategies of smart multi energy systems , 2018, Energy.

[33]  H. Ren,et al.  Smart solutions shape for sustainable low-carbon future: A review on smart cities and industrial parks in China , 2019, Technological Forecasting and Social Change.

[34]  G. Massard,et al.  Standards requirements and a roadmap for developing eco-industrial parks in Vietnam , 2018, Journal of Cleaner Production.

[35]  J. Cristian Salgado,et al.  Sustainability indicators for the assessment of eco-industrial parks: classification and criteria for selection , 2016 .

[36]  Markus Kraft,et al.  Quantitative tools for cultivating symbiosis in industrial parks; a literature review , 2015 .

[37]  Tsuyoshi Fujita,et al.  Industrial and urban symbiosis in Japan: analysis of the Eco-Town Program 1997-2006. , 2009, Journal of environmental management.

[38]  Mathilde Le Tellier,et al.  Towards sustainable business parks: A literature review and a systemic model , 2019, Journal of Cleaner Production.

[39]  R. Clift,et al.  Taking Stock of Industrial Ecology , 2016 .

[40]  Qunxiong Zhu,et al.  Energy management and optimization modeling based on a novel fuzzy extreme learning machine: Case study of complex petrochemical industries , 2018, Energy Conversion and Management.

[41]  Vito Albino,et al.  Industrial Symbiosis for a Sustainable City: Technical, Economical and Organizational Issues☆ , 2015 .

[42]  E. Kakaras,et al.  The CO2 economy: Review of CO2 capture and reuse technologies , 2018 .

[43]  Zhao Yang Dong,et al.  Optimal operation of DES/CCHP based regional multi-energy prosumer with demand response , 2016 .

[44]  Raymond P. Côté,et al.  Designing eco-industrial parks: a synthesis of some experiences , 1998 .

[45]  Serge Domenech,et al.  Optimization methods applied to the design of eco-industrial parks: a literature review , 2015 .

[46]  M. A. Sellitto,et al.  Systemic Cooperative Actions among Competitors: the Case of a Furniture Cluster in Brazil , 2018 .

[47]  J. Ehrenfeld,et al.  Organizing Self‐Organizing Systems , 2012 .

[48]  Zhi Yu,et al.  Case study of an industrial park toward zero carbon emission , 2018 .

[49]  Simone Zanoni,et al.  Symbiosis between industrial systems, utilities and public service facilities for boosting energy and resource efficiency , 2017 .

[50]  A. Doranova,et al.  Mapping Industrial Symbiosis Development in Europe_ typologies of networks, characteristics, performance and contribution to the Circular Economy , 2019, Resources, Conservation and Recycling.

[51]  Seiji Hashimoto,et al.  Analysis of optimal locations for power stations and their impact on industrial symbiosis planning under transition toward low-carbon power sector in Japan , 2016 .

[52]  Dolf Gielen,et al.  The potential for renewable energy in industrial applications , 2012 .

[53]  Federico Silvestro,et al.  Implementation of advanced functionalities for Distribution Management Systems: Load forecasting and modeling through Artificial Neural Networks ensembles , 2019, Electric Power Systems Research.

[54]  R. Merli,et al.  How do scholars approach the circular economy? A systematic literature review , 2017 .

[55]  Qingjin Peng,et al.  Improving the Resilience of Energy Flow Exchanges in Eco-Industrial Parks: Optimization under Uncertainty , 2017 .

[56]  C. H. Antunes,et al.  Estimation of renewable energy and built environment-related variables using neural networks – A review , 2018, Renewable and Sustainable Energy Reviews.

[57]  Q. Qiao,et al.  Study on eco-efficiency of industrial parks in China based on data envelopment analysis. , 2017, Journal of environmental management.

[58]  Zheng Li,et al.  LMDI Decomposition of Energy-Related CO 2 Emissions Based on Energy and CO 2 Allocation Sankey Diagrams: The Method and an Application to China , 2018 .

[59]  Laura Sokka,et al.  Industrial symbiosis contributing to more sustainable energy use – an example from the forest industry in Kymenlaakso, Finland , 2011 .

[60]  Beyzanur Cayir Ervural,et al.  A two-stage analytical approach to assess sustainable energy efficiency , 2018, Energy.

[61]  Agnes Pechmann,et al.  Economic Analysis of Decentralized, Electrical- and Thermal Renewable Energy Supply for Small and Medium-Sized Enterprises , 2017 .

[62]  Jie Zheng,et al.  Heat recovery potentials and technologies in industrial zones , 2017 .

[63]  Thammarat Koottatep,et al.  Environmental performance indicators as the key for eco-industrial parks in Thailand , 2017 .

[64]  Marian Chertow,et al.  INDUSTRIAL SYMBIOSIS: Literature and Taxonomy , 2000 .

[65]  F. Boons,et al.  Eco-industrial parks : stimulating sustainable development in mixed industrial parks , 2002 .

[66]  Jan Beier,et al.  Simulation Approach Towards Energy Flexible Manufacturing Systems , 2017 .

[67]  C. Vandecasteele,et al.  Toward a Carbon Dioxide Neutral Industrial Park , 2011 .

[68]  Nilay Shah,et al.  Machine-learning methods for integrated renewable power generation: A comparative study of artificial neural networks, support vector regression, and Gaussian Process Regression , 2019, Renewable and Sustainable Energy Reviews.

[69]  Zhiqiu Gao,et al.  Highlighting regional eco-industrial development: Life cycle benefits of an urban industrial symbiosis and implications in China , 2017 .

[70]  Janet Godsell,et al.  Supply Chain Configurations in the Circular Economy: A Systematic Literature Review , 2017 .

[71]  Aldo Roberto Ometto,et al.  Theoretical contribution of industrial ecology to circular economy , 2018 .

[72]  W. Vermeulen,et al.  Eco-industrial park initiatives in the USA and the Netherlands: first lessons , 2004 .

[74]  Jakub Jurasz,et al.  Modeling and forecasting energy flow between national power grid and a solar–wind–pumped-hydroelectricity (PV–WT–PSH) energy source , 2017 .

[75]  K. Winans,et al.  The history and current applications of the circular economy concept , 2017 .

[76]  Yan-Lin He,et al.  A novel and effective nonlinear interpolation virtual sample generation method for enhancing energy prediction and analysis on small data problem: A case study of Ethylene industry , 2018 .

[77]  Yacine Rezgui,et al.  Operational supply and demand optimisation of a multi-vector district energy system using artificial neural networks and a genetic algorithm , 2019, Applied Energy.

[78]  Hung-Suck Park,et al.  A review of the National Eco-Industrial Park Development Program in Korea: progress and achievements in the first phase, 2005–2010 , 2016 .

[79]  Fausto Pedro García Márquez,et al.  A survey of artificial neural network in wind energy systems , 2018, Applied Energy.

[80]  Qinghua Zhu,et al.  A Comparison of Regulatory Awareness and Green Supply Chain Management Practices Among Chinese and Japanese Manufacturers , 2017 .

[81]  Simon Jenniches Assessing the regional economic impacts of renewable energy sources – A literature review , 2018, Renewable and Sustainable Energy Reviews.

[82]  Xuesong Zhu,et al.  Co-benefits accounting for the implementation of eco-industrial development strategies in the scale of industrial park based on emergy analysis , 2018 .

[83]  Bin Zhang,et al.  Carbon reduction from sustainable consumption of waste resources: An optimal model for collaboration in an industrial symbiotic network , 2018, Journal of Cleaner Production.

[84]  Marco Filippi,et al.  Monitoring and managing of a micro-smart grid for renewable sources exploitation in an agro-industrial site , 2017 .

[85]  Rolf Steinhilper,et al.  Augmenting Energy Flexibility in the Factory Environment , 2017 .

[86]  C. Brayne,et al.  Association between APOE genotype, neuropathology and dementia in the older population of England and Wales , 2011, Neuropathology and applied neurobiology.

[87]  P. Salagnac,et al.  Micro-combined heat and power systems (micro-CHP) based on renewable energy sources , 2017 .

[88]  David Connolly,et al.  Smart energy and smart energy systems , 2017 .

[89]  Mohamed Benbouzid,et al.  Microgrids energy management systems: A critical review on methods, solutions, and prospects , 2018, Applied Energy.

[90]  Thomas Kienberger,et al.  Modeling of energy efficiency increase of urban areas through synergies with industries , 2017 .

[91]  Jie Gao,et al.  Uncovering opportunity of low-carbon city promotion with industrial system innovation: Case study on industrial symbiosis projects in China , 2014 .

[92]  Wolfgang Ketter,et al.  Renewable energy cooperatives: Facilitating the energy transition at the Port of Rotterdam , 2018, Energy Policy.

[93]  P. Pontrandolfo,et al.  The organization of eco-industrial parks and their sustainable practices , 2017 .

[94]  Marian Chertow,et al.  Exploring Greenhouse Gas‐Mitigation Strategies in Chinese Eco‐Industrial Parks by Targeting Energy Infrastructure Stocks , 2018 .

[95]  Gary Gereffi,et al.  Economic and Social Upgrading in Global Value Chains and Industrial Clusters: Why Governance Matters , 2014, Journal of Business Ethics.

[96]  Liang Dong,et al.  Co-benefit potential of industrial and urban symbiosis using waste heat from industrial park in Ulsan, Korea , 2017, Resources, Conservation and Recycling.

[97]  N. Abas,et al.  Review of fossil fuels and future energy technologies , 2015 .

[98]  Meng Xu,et al.  Production capacity analysis and energy saving of complex chemical processes using LSTM based on attention mechanism , 2019, Applied Thermal Engineering.

[99]  Gianluigi Lo Basso,et al.  Hydrogen to link heat and electricity in the transition towards future Smart Energy Systems , 2016 .

[100]  Herbert F. Lewis,et al.  Energy technology allocation for distributed energy resources: A strategic technology-policy framework , 2014 .

[101]  Jingzheng Ren,et al.  Carbon footprints of urban transition: Tracking circular economy promotions in Guiyang, China , 2017 .

[102]  G. Dijkema,et al.  From an eco-industrial park towards an eco-city : A case study in Suzhou, China , 2015 .

[103]  N. E. Gallopoulos,et al.  Strategies for Manufacturing , 1989 .

[104]  Shanshan Lu,et al.  The index system for project selection in ecological industrial park: A China study , 2017 .

[105]  Q. Peng,et al.  Challenges of value creation in Eco-Industrial Parks (EIPs): A stakeholder perspective for optimizing energy exchanges , 2018, Resources, Conservation and Recycling.

[106]  Ruggero Schleicher-Tappeser,et al.  How renewables will change electricity markets in the next five years , 2012 .

[107]  T. Kienberger,et al.  Energy efficiency for industries through synergies with urban areas , 2016 .

[108]  Pierluigi Mancarella,et al.  Multi-energy systems : An overview of concepts and evaluation models , 2015 .

[109]  Tsuyoshi Fujita,et al.  Evaluation and Allocation of Greenhouse Gas Reductions in Industrial Symbiosis , 2018 .

[110]  Teuvo Aro Preconditions and tools for cross-sectoral regional industrial GHG and energy efficiency policy--A Finnish standpoint , 2009 .

[111]  Jinping Tian,et al.  The Role of Industrial Parks in Mitigating Greenhouse Gas Emissions from China. , 2018, Environmental science & technology.

[112]  D. Chiaroni,et al.  A strategic niche management perspective on transitions to eco-industrial park development: A systematic review of case studies , 2019, Resources, Conservation and Recycling.

[113]  Michael Martin,et al.  Prospecting the sustainability implications of an emerging industrial symbiosis network , 2018, Resources, Conservation and Recycling.

[114]  L. Vandevelde,et al.  Energy management on industrial parks in Flanders , 2011 .

[115]  Zheng O'Neill,et al.  Using change-point and Gaussian process models to create baseline energy models in industrial facilities: A comparison , 2018 .

[116]  María del Mar Castilla,et al.  An Artificial Neural Network (ANN) model to predict the electric load profile for an HVAC system , 2018 .