Bioenergy Ontology for Automatic Pathway Generation

Sapkota, Krishna; Raju, Pathmeswaran; Chapma, Craig; Byrne, William; Melville, L.

doi:10.7763/ijke.2015.v1.1

Cited by 4 publications

(5 citation statements)

References 8 publications

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“…Subject material covered Evaluation of use BiOnto (Trokanas et al, 2015) Different types of biomass, biomass composition, and biorefining processes Full ontology is yet to be published so a full assessment is not possible ENVO (Buttigieg et al, 2013(Buttigieg et al, , 2016 Range of concepts relating to how organisms interact with their environments Broad scope and definitions mean the ontology is not able to describe land use in the required detail Bioenergy Ontology (Sapkota et al, 2015) Different types of biomass and their properties. Provides information on which bioenergy pathway to pursue for a given biomass Lack of quantification of variables means the ontology does not meet the needs of this iteration of the digital twin Crop Ontology (Integrated Breeding Platform, 2020 Many crops and their traits relevant to breeding…”

Section: Ontologymentioning

confidence: 99%

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Universal Digital Twin: Land use

Akroyd

Harper

Soutar

et al. 2022

DCE

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This article develops an ontological description of land use and applies it to incorporate geospatial information describing land coverage into a knowledge-graph-based Universal Digital Twin. Sources of data relating to land use in the UK have been surveyed. The Crop Map of England (CROME) is produced annually by the UK Government and was identified as a valuable source of open data. Formal ontologies to represent land use and the geospatial data arising from such surveys have been developed. The ontologies have been deployed using a high-performance graph database. A customized vocabulary was developed to extend the geospatial capabilities of the graph database to support the CROME data. The integration of the CROME data into the Universal Digital Twin is demonstrated in two use cases that show the potential of the Universal Digital Twin to share data across sectors. The first use case combines data about land use with a geospatial analysis of scenarios for energy provision. The second illustrates how the Universal Digital Twin could use the land use data to support the cross-domain analysis of flood risk. Opportunities for the extension and enrichment of the ontologies, and further development of the Universal Digital Twin are discussed.

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Section: Ontologymentioning

confidence: 99%

“…The Bioenergy Ontology (Sapkota et al, 2015) was published in 2015 to describe different types of biomass and its properties. The ontology aims to help farmers and other stakeholders make decisions about the best bioenergy pathway to pursue for a given biomass.…”

Section: Introductionmentioning

confidence: 99%

Universal Digital Twin: Land use

Akroyd

Harper

Soutar

et al. 2022

DCE

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“…Energy fuels are required for the provision of heat, electricity, and mobility (Martín-Gamboa et al 2017, Strantzali and Aravossis 2016, Mardani et al 2017, and numerous, alternative pathways exist to provide such fuels (Bohanec et al 2017). Following Sapkota et al (2015), a (bio)energy pathway is a conversion route that involves (bio)inputs, conversion technologies, intermediate products, and (bio)energy. Bioenergy pathways can play an important role for a stable energy supply based on renewable resources (Baskar et al 2012, Kempener et al 2009).…”

Section: Introductionmentioning

confidence: 99%

Using PROMETHEE to assess bioenergy pathways

Schröder

Lauven

Beyer

et al. 2018

Cent Eur J Oper Res

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Investment and policy decisions in the context of sustainable development are classic application areas for multi-criteria decision analysis. Ranking various pathways, i.e. conversion routes, for biomass use in the energy sector is particularly challenging. Depending on how ecological, economic, and social criteria are weighed, a multi-criteria decision analysis can lead to significantly contrasting recommendations. In this paper, we present a decision support for eleven energy pathways using decision criteria drawn from all three sustainability dimensions-ecological, economical, and social. For the graphical presentation of the relatively large number of pathways and criteria weightings, we introduce a novel visualization approach that combines the results of both PROMETHEE I and II. This visualization approach permits stakeholders to quickly and intuitively gather insights about the result structure and the consequences of different input parameters, for instance different criteria weightings.

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“…These projects are started with the aim to increase the global share of renewable energy sources by 20% within the EU by 2020. One of the objectives of the projects is to provide the fanners in the region with decision support tools, which will help them in various decision making processes [1]- [7] by providing answers to decisive queries such as:…”

Section: Introductionmentioning

confidence: 99%

Ontology-based economic models for bioenergy and biofuel projects

Sapkota

Raju

Byrne

et al. 2015

Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015)

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Bioenergy is a renewable energy generated from biomass, while biofuel is a hydrocarbon fuel that is produced from biomass. Recently, bioenergy and biofuel projects are encouraged and supported by many governments and organizations in various ways such as providing incentives, technical supports, information, and decision support tools.Economic model is one of the decision support tools, which helps to estimate the costs and earnings involved in a project. It is constructed with various elements such as concepts, relations, logics, constants and equations. In current economic models, all the elements are hard coded into some programming code, which makes the model less reusable and extendable. To address the issue, we present an ontology-based economic model in this paper. In particular, we have leveraged the Semantic Web technologies to represent the knowledge about the bioenergy and biofuel economics and inferred the equations and other values required for economic calculations.The case study has been carried out in two of the INTERREG Projects and found promising results.

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Bioenergy Ontology for Automatic Pathway Generation

Cited by 4 publications

References 8 publications

Universal Digital Twin: Land use

Universal Digital Twin: Land use

Using PROMETHEE to assess bioenergy pathways

Ontology-based economic models for bioenergy and biofuel projects

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