The "Smart Green": A New Model for the Optimal Carbon Management
- Leontina Pinto | Paula Leite (Engenho)
- Document ID
- Carbon Management Technology Conference
- Carbon Management Technology Conference, 7-9 February, Orlando, Florida, USA
- Publication Date
- Document Type
- Conference Paper
- 2012. Carbon Management Technology Conference
- 7.4.3 Market analysis /supply and demand forecasting/pricing
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- 90 since 2007
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Emissions associated to energy generation depend on the source of supply - which varies from polluting oil thermal units to clean renewables. This paper assesses the quality of supply in terms of associated emissions and, more importantly, load management strategies targeting a cleaner energy supply. We propose a framework where each consumer may know the impact of his (her) load management in terms of emissions and the associated economic costs. It will be then possible to clearly identify each consumer's possible "green initiative?? action and associated tariffs. We hope this will be the first step towards a transparent, society-supported sustainable future.
Index Terms--demand side management, smart green, green energy, carbon management, emission reduction
RENEWABLE energy's main benefits are well known: thermal displacement and associated emission reduction.
Moreover, smart grid advances open a whole new world on demand and network management, uncovering to consumers information about the emissions associated to their load and providing them an efficient control over their carbon footprint.
The green option, however, comes with a price: renewables may be more expensive than traditional thermal units. It is important to - far from deny it - know the price tag and build an incentive structure able to cover expenses.
This work is based on the "smart green"  concept and proposes a signal structure able to provide the consumer the whole picture: his impact on emissions and available cleaner options - of course, with the associated price.
The model targets initially the non-regulated clients, which concentrate the huge network consumption and are used to monitor and control their peak load. Further extensions could include residential and smaller consumers, after a wide and explanatory campaign.
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