@inproceedings{curri-hicss-21,
author = {Curri, Danielle and Aziz, Tarek and Baugh, John and Johnson,
  Jeremiah},
title = {Industrial Symbiosis Waste Exchange Identification and
  Optimization},
booktitle = {Proceedings of the 54th Hawaii International Conference on
  System Sciences},
year = {2021},
pages = {916-925},
url = {http://hdl.handle.net/10125/70724},
url_pdf = {papers/curri-hicss-21.pdf},
abstract = {
Industrial symbiosis is the concept that waste from industrial
processes can be diverted and then reused as inputs into co-located
industrial entities. While research to date has identified successful
examples of industrial symbiosis and characterized formation
processes, little is known about how new eco-industrial parks can be
designed and their performance optimized. In this paper, we describe
how industrial symbiosis can be modeled and optimized during the
development phase to assist in the creation of eco-industrial
parks. We present a database framework, waste exchange identification
algorithm, and Python-based optimization system that generates a
mixed-integer linear programming model to minimize the amount of
non-recycled waste produced. We illustrate the functionality of the
approach on three test cases that demonstrate increasing levels of
complexity. The optimization model can also accommodate multiple
objectives, allowing further exploration of the benefits of industrial
symbiosis at the design stage.}
}

{"_id":"WH5pDnzQ6PXRpZeNu","bibbaseid":"curri-aziz-baugh-johnson-industrialsymbiosiswasteexchangeidentificationandoptimization-2021","author_short":["Curri, D.","Aziz, T.","Baugh, J.","Johnson, J."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","author":[{"propositions":[],"lastnames":["Curri"],"firstnames":["Danielle"],"suffixes":[]},{"propositions":[],"lastnames":["Aziz"],"firstnames":["Tarek"],"suffixes":[]},{"propositions":[],"lastnames":["Baugh"],"firstnames":["John"],"suffixes":[]},{"propositions":[],"lastnames":["Johnson"],"firstnames":["Jeremiah"],"suffixes":[]}],"title":"Industrial Symbiosis Waste Exchange Identification and Optimization","booktitle":"Proceedings of the 54th Hawaii International Conference on System Sciences","year":"2021","pages":"916-925","url":"http://hdl.handle.net/10125/70724","url_pdf":"papers/curri-hicss-21.pdf","abstract":"Industrial symbiosis is the concept that waste from industrial processes can be diverted and then reused as inputs into co-located industrial entities. While research to date has identified successful examples of industrial symbiosis and characterized formation processes, little is known about how new eco-industrial parks can be designed and their performance optimized. In this paper, we describe how industrial symbiosis can be modeled and optimized during the development phase to assist in the creation of eco-industrial parks. We present a database framework, waste exchange identification algorithm, and Python-based optimization system that generates a mixed-integer linear programming model to minimize the amount of non-recycled waste produced. We illustrate the functionality of the approach on three test cases that demonstrate increasing levels of complexity. The optimization model can also accommodate multiple objectives, allowing further exploration of the benefits of industrial symbiosis at the design stage.","bibtex":"@inproceedings{curri-hicss-21,\nauthor = {Curri, Danielle and Aziz, Tarek and Baugh, John and Johnson,\n Jeremiah},\ntitle = {Industrial Symbiosis Waste Exchange Identification and\n Optimization},\nbooktitle = {Proceedings of the 54th Hawaii International Conference on\n System Sciences},\nyear = {2021},\npages = {916-925},\nurl = {http://hdl.handle.net/10125/70724},\nurl_pdf = {papers/curri-hicss-21.pdf},\nabstract = {\nIndustrial symbiosis is the concept that waste from industrial\nprocesses can be diverted and then reused as inputs into co-located\nindustrial entities. While research to date has identified successful\nexamples of industrial symbiosis and characterized formation\nprocesses, little is known about how new eco-industrial parks can be\ndesigned and their performance optimized. In this paper, we describe\nhow industrial symbiosis can be modeled and optimized during the\ndevelopment phase to assist in the creation of eco-industrial\nparks. We present a database framework, waste exchange identification\nalgorithm, and Python-based optimization system that generates a\nmixed-integer linear programming model to minimize the amount of\nnon-recycled waste produced. We illustrate the functionality of the\napproach on three test cases that demonstrate increasing levels of\ncomplexity. The optimization model can also accommodate multiple\nobjectives, allowing further exploration of the benefits of industrial\nsymbiosis at the design stage.}\n}\n\n","author_short":["Curri, D.","Aziz, T.","Baugh, J.","Johnson, J."],"key":"curri-hicss-21","id":"curri-hicss-21","bibbaseid":"curri-aziz-baugh-johnson-industrialsymbiosiswasteexchangeidentificationandoptimization-2021","role":"author","urls":{"Paper":"http://hdl.handle.net/10125/70724"," pdf":"https://jwbaugh.github.io/papers/curri-hicss-21.pdf"},"metadata":{"authorlinks":{}}},"bibtype":"inproceedings","biburl":"https://jwbaugh.github.io/jwb.bib","dataSources":["pewK2DSYXKNLH3TTe"],"keywords":[],"search_terms":["industrial","symbiosis","waste","exchange","identification","optimization","curri","aziz","baugh","johnson"],"title":"Industrial Symbiosis Waste Exchange Identification and Optimization","year":2021}