(325e) CAPE: A Circular Economy Perspective
AIChE Annual Meeting
2019
2019 AIChE Annual Meeting
Sustainable Engineering Forum
Design for a Circular Economy
Tuesday, November 12, 2019 - 2:10pm to 2:35pm
CAPE:
a Circular Economy Perspective
symbiosis and based on the three pillars of sustainability, economic,
environmental and social, circular economy is a multimodal and a complex
paradigm affecting every aspect of a value chain. Modality involves i) product
design for repairability, durability and addressability, ii) production process
for resource efficiency and use, iii) waste and by-product management and
recycling for social and environmental impact, and iii) consumption and
consumer behaviour for energy performance, extended use/reuse, product sharing,
environmental pricing, and reducing/preventing waste and recycling. Complexity
arises from complex technological and product elements difficult to recycle,
often short product life time and ever changing consumer behaviour and demand,
complex recycling pathways, unpredictable volumes and material composition, as
well as changing geo-economic environments. It is evident from current practice
that waste and by-product processing and management is still the focus and
hence in the heart of circular economy. This amplifies the importance of
industrial symbiosis and concomitant CAPE contribution in numerous aspects;
creation and use of data and knowledge bases and repositories, optimisation,
process modelling and synthesis, knowledge modelling and decision making,
control and process monitoring, among others. In response to mentioned challenges, this paper presents two cases
of CAPE contribution to Circular Economy with focus on its implementation in
European environment; i) support to operation of Industrial Symbiosis [1-3], and ii) process model integration [4, 5]. Support to operation of Industrial Symbiosis was achieved by
pioneering the use of ontology engineering. For this reason, semantics are used
to model Industrial Symbiosis flows, to model enabling technologies and to
systematise the development of a matching service. Combined with a systems
engineering approach, semantics further combined tacit knowledge from
Industrial Symbiosis experts with explicit knowledge from Industrial Symbiosis
participants. The new approach was proven as a systematic venue to discoveries,
formulation of innovative solutions, and as a holistic methodology in the
development of Industrial Symbiosis networks. Model integration follows the concept proposed by CAPE Open and
proposes a new paradigm which enables interoperability between process models
and datasets using ontology engineering. Again, semantics are used to model the
knowledge in the domain of biorefining including both tacit and explicit
knowledge, which supports registration and instantiation of the models and
datasets. Semantic algorithms allow the formation of model integration through
input/output matching based on semantic relevance between the models and
datasets. In addition, partial matching is employed to facilitate flexibility
to broaden the horizon to find opportunities in identifying appropriate models
and/or datasets. The proposed algorithm is implemented as a web-service and
demonstrated in practice. These two cases come together under a single
platform, implemented as a web-service. [1] M.
Bussemaker, K. Day, G. Drage et al., “Supply chain optimisation for an
ultrasound-organosolv lignocellulosic biorefinery: Impact of technology
choices,” Waste and Biomass Valorization, vol. online, 2017. [2] F. Cecelja, T. Raafat, N. Trokanas et al.,
“e-Symbiosis: technology-enabled support for industrial symbiosis targeting
SMEs and innovation,” Journal of Cleaner Production vol. 98, pp.
336-352, 01/07/2015, 2015. [3] T. Raafat, F. Cecelja, N. Trokanas et al., “An
Ontological Approach Towards Enabling Processing Technologies Participation in
Industrial Symbiosis,” Computers & Chemical Engineering, vol. 59,
no. 1, pp. 33-46, 05/12/2013, 2013. [4] L. Koo, N. Trokanas, and F. Cecelja, “A semantic
framework for enabling model integration for biorefining,” Computers &
Chemical Engineering, vol. 100, pp. 219-231, 2017. [5] L. Koo, N. Trokanas, H. Tokos et al., “A
Holistic Approach to Model Discovery Using A Domain Ontology,” Computer-Aided
Chemical Engineering, vol. 38, pp. 733-738, 2016.
a Circular Economy Perspective
Edlira Kalemi, Linsey Koo, Nikolaos Trokanas, Franjo
Cecelja,
Process and Information Systems Engineering, Faculty of
Engineering and Physical Sciences, University of Surrey, Guildford, Surrey, U.
K.
symbiosis and based on the three pillars of sustainability, economic,
environmental and social, circular economy is a multimodal and a complex
paradigm affecting every aspect of a value chain. Modality involves i) product
design for repairability, durability and addressability, ii) production process
for resource efficiency and use, iii) waste and by-product management and
recycling for social and environmental impact, and iii) consumption and
consumer behaviour for energy performance, extended use/reuse, product sharing,
environmental pricing, and reducing/preventing waste and recycling. Complexity
arises from complex technological and product elements difficult to recycle,
often short product life time and ever changing consumer behaviour and demand,
complex recycling pathways, unpredictable volumes and material composition, as
well as changing geo-economic environments. It is evident from current practice
that waste and by-product processing and management is still the focus and
hence in the heart of circular economy. This amplifies the importance of
industrial symbiosis and concomitant CAPE contribution in numerous aspects;
creation and use of data and knowledge bases and repositories, optimisation,
process modelling and synthesis, knowledge modelling and decision making,
control and process monitoring, among others. In response to mentioned challenges, this paper presents two cases
of CAPE contribution to Circular Economy with focus on its implementation in
European environment; i) support to operation of Industrial Symbiosis [1-3], and ii) process model integration [4, 5]. Support to operation of Industrial Symbiosis was achieved by
pioneering the use of ontology engineering. For this reason, semantics are used
to model Industrial Symbiosis flows, to model enabling technologies and to
systematise the development of a matching service. Combined with a systems
engineering approach, semantics further combined tacit knowledge from
Industrial Symbiosis experts with explicit knowledge from Industrial Symbiosis
participants. The new approach was proven as a systematic venue to discoveries,
formulation of innovative solutions, and as a holistic methodology in the
development of Industrial Symbiosis networks. Model integration follows the concept proposed by CAPE Open and
proposes a new paradigm which enables interoperability between process models
and datasets using ontology engineering. Again, semantics are used to model the
knowledge in the domain of biorefining including both tacit and explicit
knowledge, which supports registration and instantiation of the models and
datasets. Semantic algorithms allow the formation of model integration through
input/output matching based on semantic relevance between the models and
datasets. In addition, partial matching is employed to facilitate flexibility
to broaden the horizon to find opportunities in identifying appropriate models
and/or datasets. The proposed algorithm is implemented as a web-service and
demonstrated in practice. These two cases come together under a single
platform, implemented as a web-service. [1] M.
Bussemaker, K. Day, G. Drage et al., “Supply chain optimisation for an
ultrasound-organosolv lignocellulosic biorefinery: Impact of technology
choices,” Waste and Biomass Valorization, vol. online, 2017. [2] F. Cecelja, T. Raafat, N. Trokanas et al.,
“e-Symbiosis: technology-enabled support for industrial symbiosis targeting
SMEs and innovation,” Journal of Cleaner Production vol. 98, pp.
336-352, 01/07/2015, 2015. [3] T. Raafat, F. Cecelja, N. Trokanas et al., “An
Ontological Approach Towards Enabling Processing Technologies Participation in
Industrial Symbiosis,” Computers & Chemical Engineering, vol. 59,
no. 1, pp. 33-46, 05/12/2013, 2013. [4] L. Koo, N. Trokanas, and F. Cecelja, “A semantic
framework for enabling model integration for biorefining,” Computers &
Chemical Engineering, vol. 100, pp. 219-231, 2017. [5] L. Koo, N. Trokanas, H. Tokos et al., “A
Holistic Approach to Model Discovery Using A Domain Ontology,” Computer-Aided
Chemical Engineering, vol. 38, pp. 733-738, 2016.