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Fundamentals of Successful Monitoring,Reporting, and Verification under a Cap-and-Trade Program
Authors:John Schakenbach  Robert Vollaro  Reynaldo Forte
Institution:1. U.S. Environmental Protection Agency, Office of Atmospheric Programs , Washington , DC , USA schakenbach.john@epa.gov;3. U.S. Environmental Protection Agency, Office of Atmospheric Programs , Washington , DC , USA
Abstract:Abstract

The U.S. Environmental Protection Agency (EPA) developed and implemented the Acid Rain Program (ARP), and NOx Budget Trading Programs (NBTP) using several fundamental monitoring, reporting, and verification (MRV) elements: (1) compliance assurance through incentives and automatic penalties; (2) strong quality assurance (QA); (3) collaborative approach with a petition process; (4) standardized electronic reporting; (5) compliance flexibility for low-emitting sources; (6) complete emissions data record required; (7) centralized administration; (8) level playing field; (9) publicly available data; (10) performance-based approach; and (11) reducing conflicts of interest. Each of these elements is discussed in the context of the authors’ experience under two U.S. cap-and-trade programs and their potential application to other capand-trade programs.

The U.S. Office of Management and Budget found that the Acid Rain Program has accounted for the largest quantified human health benefits of any federal regulatory program implemented in the last 10 yr, with annual benefits exceeding costs by >40 to 1. The authors believe that the elements described in this paper greatly contributed to this success. EPA has used the ARP fundamental elements as a model for other cap-and-trade programs, including the NBTP, which went into effect in 2003, and the recently published Clean Air Interstate Rule and Clean Air Mercury Rule. The authors believe that using these fundamental elements to develop and implement the MRV portion of their cap-and-trade programs has resulted in public confidence in the programs, highly accurate and complete emissions data, and a high compliance rate (>99% overall).
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