Building a Comprehensive Mill-Level Database for the Industrial Sectors Integrated Solutions (ISIS) Model of the U.S. Pulp and Paper Sector
- US Environmental Protection Agency (EPA), Research Triangle Park, NC (United States). Air Pollution Prevention and Control Division. Office of Research and Development; Oak Ridge Inst. for Science and Education (ORISE), Research Triangle Park, NC (United States). Postdoctoral Fellow; DOE/OSTI
- US Environmental Protection Agency (EPA), Research Triangle Park, NC (United States). Office of Air Quality Planning and Standards
- US Environmental Protection Agency (EPA), Research Triangle Park, NC (United States). Office of Research and Development. Student Contractor
- US Environmental Protection Agency (EPA), Research Triangle Park, NC (United States). Office of Research and Development
Air emissions from the U.S. pulp and paper sector have been federally regulated since 1978; however, regulations are periodically reviewed and revised to improve efficiency and effectiveness of existing emission standards. The Industrial Sectors Integrated Solutions (ISIS) model for the pulp and paper sector is currently under development at the U.S. Environmental Protection Agency (EPA), and can be utilized to facilitate multi-pollutant, sectorbased analyses that are performed in conjunction with regulatory development. The model utilizes a multi-sector, multi-product dynamic linear modeling framework that evaluates the economic impact of emission reduction strategies for multiple air pollutants. The ISIS model considers facility-level economic, environmental, and technical parameters, as well as sector-level market data, to estimate the impacts of environmental regulations on the pulp and paper industry. Specifically, the model can be used to estimate U.S. and global market impacts of new or more stringent air regulations, such as impacts on product price, exports and imports, market demands, capital investment, and mill closures. One major challenge to developing a representative model is the need for an extensive amount of data. This article discusses the collection and processing of data for use in the model, as well as the methods used for building the ISIS pulp and paper database that facilitates the required analyses to support the air quality management of the pulp and paper sector.
- Research Organization:
- Oak Ridge Institute for Science and Education (ORISE), Oak Ridge, TN (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC)
- Grant/Contract Number:
- SC0014664
- OSTI ID:
- 1627748
- Journal Information:
- PLoS ONE, Journal Name: PLoS ONE Journal Issue: 3 Vol. 10; ISSN 1932-6203
- Publisher:
- Public Library of ScienceCopyright Statement
- Country of Publication:
- United States
- Language:
- English
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