Bottom-up Representation of Industrial Energy Efficiency Technologies in Integrated Assessment Models for the U.S. Pulp and Paper Sector [electronic resource]

• Ngôn ngữ: eng
• Ký hiệu phân loại: 658.2 Plant management
• Thông tin xuất bản: Washington, D.C. : Oak Ridge, Tenn. : United States. Dept. of Energy. Office of Science ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 2012
• Mô tả vật lý: Size: 73 p. : , digital, PDF file.
• Bộ sưu tập: Metadata
• ID: 256761
• Chủ đề: 1. 03 natural gas; 2. 29 energy planning, policy, and economy; 3. 30 direct energy conversion; 4. 32 energy conservation, consumption, and utilization; 5. 42 engineering; 6. 54 environmental sciences; 7. Cost; 8. Energy climate model; 9. Energy efficiency; 10. Et al; 11. Mitigation technologies

Tóm tắt

Adoption of efficient end-use technologies is one of the key measures for reducing greenhouse gas (GHG) emissions. How to effectively analyze and manage the costs associated with GHG reductions becomes extremely important for the industry and policy makers around the world. Energy-climate (EC) models are often used for analyzing the costs of reducing GHG emissions for various emission-reduction measures, because an accurate estimation of these costs is critical for identifying and choosing optimal emission reduction measures, and for developing related policy options to accelerate market adoption and technology implementation. However, accuracies of assessing GHG-emission reduction costs by taking into account the adoption of energy efficiency technologies will depend on how well these end-use technologies are represented in integrated assessment models (IAM) and other energy-climate models. In this report, we first conduct a brief review of different representations of end-use technologies (mitigation measures) in various energy-climate models, followed by the problem statement, and a description of the basic concepts of quantifying the cost of conserved energy including integrating no-regrets options.