T/GERS 0008.1-2021 Guidelines for Energy Efficiency Benchmarking for Key Energy-using Industries Part 1: General Principles
T/GERS 0008.1-2021 Guidelines for Energy Efficiency Benchmarking for Key Energy-using Industries Part 1: General Principles
Basic Information
Scope
Main Technical Content: This section specifies the terms and definitions of energy efficiency benchmarking for energy-intensive industries, types of energy efficiency benchmarking, content of energy efficiency benchmarking work, technical requirements, and organizational management requirements. This section is applicable to guiding energy-intensive industries in Guangdong Province to carry out energy efficiency benchmarking. This section is divided into 7 chapters, including: (1) Chapter 1 "Scope" clarifies the scope of application of energy efficiency benchmarking management in key energy-intensive industries. According to the classification standards of the "National Economic Industry Classification (GB/T 4754-2017)" (2019 amendment version), this standard applies to production enterprises in industries such as C17 (textile industry), C22 (paper and paper product industry), C25 (petroleum, coal, and other fuel processing industry), C30 (non-metallic mineral products industry), and C31 (ferrous metal smelting and rolling manufacturing industry). (2) Chapter 2 "Normative Reference Documents" provides relevant standards for energy efficiency indicator calculation, energy metering equipment deployment, energy management systems, and energy efficiency benchmarking management involved in the preparation of this document. (3) Chapter 3 "Terms and Definitions" defines three basic terms of energy efficiency benchmarking: energy efficiency benchmark, energy efficiency benchmarking, and the boundaries of energy efficiency benchmarking. (4) Chapter 4 "Types of Energy Efficiency Benchmarking" describes the meaning of internal benchmarking and external benchmarking from the method of selecting energy efficiency benchmarks. Internal benchmarking mainly refers to vertical benchmarking of different annual, quarterly, and monthly data within an energy-intensive unit, as well as horizontal benchmarking between different equipment and production lines within the same energy-intensiv