Integrated and dynamic energy modelling of a regional system: A cost-optimized approach in the deep decarbonisation of the Province of Trento (Italy). (15th October 2020)
- Record Type:
- Journal Article
- Title:
- Integrated and dynamic energy modelling of a regional system: A cost-optimized approach in the deep decarbonisation of the Province of Trento (Italy). (15th October 2020)
- Main Title:
- Integrated and dynamic energy modelling of a regional system: A cost-optimized approach in the deep decarbonisation of the Province of Trento (Italy)
- Authors:
- Viesi, Diego
Crema, Luigi
Mahbub, Md Shahriar
Verones, Sara
Brunelli, Roberto
Baggio, Paolo
Fauri, Maurizio
Prada, Alessandro
Bello, Andrea
Nodari, Benedetta
Silvestri, Silvia
Tomasi, Luca - Abstract:
- Abstract: Since the Kyoto Protocol (1997), the European Union has fought against climate change adopting European, national and regional policies to decarbonise the economy. Moreover, the Paris Agreement (2015) calls 2050 solutions between -80% and -100% of greenhouse gas emissions compared with 1990. Regions have an important role in curbing CO2 emissions, and tailor-made strategies considering local energy demands, savings potentials and renewables must be elaborated factoring in the social and economic context. An "optimized smart energy system" approach is proposed, considering: (I) integration of electricity, thermal and transport sectors, (II) hourly variability of productions and demands, (III) coupling the EnergyPLAN software, to develop integrated and dynamic scenarios, with a multi-objective evolutionary algorithm, to identify solutions optimized both in terms of CO2 emissions and costs, including decision variables for all the three energy sectors simultaneously. The methodology is tested at the regional scale for the Province of Trento (Italy) analyzing a total of 30, 000 scenarios. Compared to the Baseline 2016, it is identified: (I) the strategic role of sector coupling among large hydroelectric production and electrification of thermal and transport demands (heat pumps, electric mobility), (II) slight increases in total annual cost, +14% for a -90% of CO2 emissions in 2050. Highlights: Regions have an important role in curbing CO2 emissions. Integration ofAbstract: Since the Kyoto Protocol (1997), the European Union has fought against climate change adopting European, national and regional policies to decarbonise the economy. Moreover, the Paris Agreement (2015) calls 2050 solutions between -80% and -100% of greenhouse gas emissions compared with 1990. Regions have an important role in curbing CO2 emissions, and tailor-made strategies considering local energy demands, savings potentials and renewables must be elaborated factoring in the social and economic context. An "optimized smart energy system" approach is proposed, considering: (I) integration of electricity, thermal and transport sectors, (II) hourly variability of productions and demands, (III) coupling the EnergyPLAN software, to develop integrated and dynamic scenarios, with a multi-objective evolutionary algorithm, to identify solutions optimized both in terms of CO2 emissions and costs, including decision variables for all the three energy sectors simultaneously. The methodology is tested at the regional scale for the Province of Trento (Italy) analyzing a total of 30, 000 scenarios. Compared to the Baseline 2016, it is identified: (I) the strategic role of sector coupling among large hydroelectric production and electrification of thermal and transport demands (heat pumps, electric mobility), (II) slight increases in total annual cost, +14% for a -90% of CO2 emissions in 2050. Highlights: Regions have an important role in curbing CO2 emissions. Integration of electricity, thermal and transport sectors is required. Variability of energy productions and demands need to be considered. Multi-objective evolutionary algorithms allow to identify optimized solutions. In the case study a deep decarbonisation is achieved maintaining an overall stable cost. … (more)
- Is Part Of:
- Energy. Volume 209(2020)
- Journal:
- Energy
- Issue:
- Volume 209(2020)
- Issue Display:
- Volume 209, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 209
- Issue:
- 2020
- Issue Sort Value:
- 2020-0209-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-10-15
- Subjects:
- Integrated energy system modelling -- Multi-objective evolutionary algorithms -- Sector coupling -- Renewable energy -- Low-carbon economy
Power resources -- Periodicals
Power (Mechanics) -- Periodicals
Energy consumption -- Periodicals
333.7905 - Journal URLs:
- http://www.elsevier.com/journals ↗
- DOI:
- 10.1016/j.energy.2020.118378 ↗
- Languages:
- English
- ISSNs:
- 0360-5442
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3747.445000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 14026.xml