Carbon Footprint Management: A Pathway Toward Smart Emission Abatement

Author(s)

Pourakbari-Kasmaei, Mahdi ^[1] ; Lehtonen, Matti ^[1] ; Contreras, Javier ^[2] ; Sanches Mantovani, Jose Roberto ^[3]

Affiliation

^[1] Aalto Univ, Dept Elect Engn, Espoo 02150 - Finland

^[2] Univ Castilla La Mancha, ETS Ingenieros Ind, E-13071 Ciudad Real - Spain

^[3] Sao Paulo State Univ, Dept Elect Engn, BR-15385000 Ilha Solteira - Brazil

• Document type: Journal article
• Source: IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS; v. 16, n. 2, p. 935-948, FEB 2020.
• Web of Science Citations: 2

Abstract

There is an increasing concern about controlling and reducing carbon emissions in power systems. In this regard, researchers have focused on managing emissions on the generation side, which is the main source of emissions. Considering emission limits on the generation side result in an increase in locational marginal prices that negatively affects social welfare. However, carbon emissions are a by-product of electricity generation that is used to satisfy the demands on the consumer side. Consequently, demand-side emission control may not be achieved if only the generation is taken into account. In order to fill this existing gap, in this paper, a demand-side management approach aiming at carbon footprint control is proposed. First, the carbon footprint is allocated among the consumers using an improved proportional sharing theorem method. Each consumer learns about their real-time carbon footprint, excess carbon footprint, and the incurred surcharge tax. Then, demands are adjusted via a proper adjustment procedure. This provides enough information for consumers where demand management may result in carbon footprint and demand reductions as well as the exemption of incurred taxes. Profit analysis for both generation and demand sides is carried out to show the effectiveness of the proposed framework using two illustrative case studies. The results obtained, compared with existing policies such as carbon cap, cap-and-trade, and carbon tax, prove the fairness and the advantages of the proposed model for both the demand and the generation sides. (AU)

• FAPESP's process: 16/14319-7 - Online carbon footprint Allocation- a joint Price- and carbon Footprint: responsive demands model to reduce the GHG emissions and manage the electricity demand
• Grantee: Mahdi Pourakbari Kasmaei
• Support Opportunities: Scholarships abroad - Research Internship - Post-doctor
• FAPESP's process: 15/21972-6 - Optimization of the operation and planning in transmission and distribution systems
• Grantee: Rubén Augusto Romero Lázaro
• Support Opportunities: Research Projects - Thematic Grants
• FAPESP's process: 14/22828-3 - A mixed-integer nonlinear programming paradigm to solve multi fuel-based environmentally-constrained active-reactive optimal power flow
• Grantee: Mahdi Pourakbari Kasmaei
• Support Opportunities: Scholarships in Brazil - Post-Doctoral