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<p>The aim of presented study was to identify the most promising new business models which could help to reach climate and energy targets. ‘Business model’ means new opportunities (e.g. business for profit or non-profit community collaboration models) enabled by various technologies in energy domains, i.e., heat and power supply and demand as well as mobility. Based on scientific publications, nine most important technologies and 37 new business models, which could be among the most important for sustainable energy transition, were identified. Mapping of the new business models was done by looking at synergies between the technologies and the energy domains. Valuation of the business models is done by finding ‘expected impact’ with regards to reduction of greenhouse gas (GHG) emissions, which is obtained by multiplication of two factors: ‘potential’ and ‘feasibility’. The ’potential’ represents ability to reduce GHG emissions considering technical characteristics of technologies involved and scalability. The ‘feasibility’ indicates how realistic is implementation of the new business model in the near to mid-term. Experts in the field of energy and environmental engineering were interviewed to obtain scores for the ‘potential’ and the ‘feasibility’ for all business models. The results show that electric mobility is among the solutions with the largest expected impact for reduction of GHG emissions. Results of this valuation will be used to choose the most promising solutions for further analysis with system dynamic modelling.</p>
</abstract>

The aim of presented study was to identify the most promising new business models which could help to reach climate and energy targets. ‘Business model’ means new opportunities (e.g. business for profit or non-profit community collaboration models) enabled by various technologies in energy domains, i.e., heat and power supply and demand as well as mobility. Based on scientific publications, nine most important technologies and 37 new business models, which could be among the most important for sustainable energy transition, were identified. Mapping of the new business models was done by looking at synergies between the technologies and the energy domains. Valuation of the business models is done by finding ‘expected impact’ with regards to reduction of greenhouse gas (GHG) emissions, which is obtained by multiplication of two factors: ‘potential’ and ‘feasibility’. The ’potential’ represents ability to reduce GHG emissions considering technical characteristics of technologies involved and scalability. The ‘feasibility’ indicates how realistic is implementation of the new business model in the near to mid-term. Experts in the field of energy and environmental engineering were interviewed to obtain scores for the ‘potential’ and the ‘feasibility’ for all business models. The results show that electric mobility is among the solutions with the largest expected impact for reduction of GHG emissions. Results of this valuation will be used to choose the most promising solutions for further analysis with system dynamic modelling.

Mapping of New Business Models in Domains of Technologies and Energy for Modelling of Dynamics of Clean Energy Transition

Environmental and Climate Technologies

This work is licensed under the Creative Commons Attribution 4.0 International License.

The aim of presented study was to identify the most promising new business models which could help to reach climate and energy targets. ‘Business model’ means...

Mapping of New Business Models in Domains of Technologies and Energy for Modelling of Dynamics of Clean Energy Transition

Pubblicato online: 13 dic 2021

Pagine: 1152 - 1164

DOI: https://doi.org/10.2478/rtuect-2021-0087

Parole chiave
Climate change, electric mobility, energy technologies, greenhouse gas emissions, renewable energy resources, sustainable energy

© 2021 Madara Rieksta et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Mapping of New Business Models in Domains of Technologies and Energy for Modelling of Dynamics of Clean Energy Transition

Pubblicato online: 13 dic 2021

Pagine: 1152 - 1164

DOI: https://doi.org/10.2478/rtuect-2021-0087

Parole chiaveClimate change, electric mobility, energy technologies, greenhouse gas emissions, renewable energy resources, sustainable energy

© 2021 Madara Rieksta et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Parole chiave
Climate change, electric mobility, energy technologies, greenhouse gas emissions, renewable energy resources, sustainable energy