Sustainable energy system analysis modeling environment: Analyzing life cycle emissions of the energy transition
| Autor: | Francis O'Sullivan, Ian Miller, Tony Wenzhao Wu, Sarah Torkamani, Emre Gençer |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Consumption (economics)
business.industry 020209 energy Mechanical Engineering 02 engineering and technology Building and Construction Management Monitoring Policy and Law Environmental economics Energy transition Renewable energy General Energy Electricity generation 020401 chemical engineering Greenhouse gas 0202 electrical engineering electronic engineering information engineering Carbon footprint Environmental science Energy transformation Production (economics) 0204 chemical engineering business |
| Zdroj: | Applied Energy. 277:115550 |
| ISSN: | 0306-2619 |
| DOI: | 10.1016/j.apenergy.2020.115550 |
| Popis: | One of the global community’s most significant contemporary challenges is the need to satisfy growing energy demand, while simultaneously achieving very significant reductions in the greenhouse gas (GHG) emissions associated with the production, delivery, and consumption of energy. The energy sector is transforming via the convergence of power, transportation, and industrial sectors and inter-sectoral integration. To assess the level of decarbonization achieved through this change, one needs to study the carbon footprint of the energy system as a whole. Here, we present a novel, system-scale energy analysis tool, the Sustainable Energy System Analysis Modelling Environment (SESAME), to assess the pathway- and system-level GHG emissions of today’s changing energy system. The underlying analytic tool constitutes more than a thousand individual energy pathways. SESAME provides a consistent platform to estimate life cycle GHG emissions of all stages of the energy sector. Furthermore, the system representation is embedded into the tool for power and transportation sectors. The developed novel architecture, and implications of energy choices for example scenarios (vehicle fleet projections for US and generator-level hourly power generation) are presented to demonstrate SESAME’s high-resolution analysis capabilities. Impact of operational variations such as partial loading of power generation units and technology choices, such as treatment of the same crude oil in different refinery configurations, is explored. |
| Databáze: | OpenAIRE |
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