Wis. Admin. Code NR 254.017

Effluent limitations representing the degree of effluent reduction attainable by the application of the best conventional pollutant control technology

Last amended: 1989Year: 2026Length: 248 wordsOfficial source

Cite as Wis. Admin. Code NR § 254.017

Effluent limitations representing the degree of effluent reduction attainable by the application of the best conventional pollutant control technology. (1) Except as provided in 40 CFR 125.30 to 125.32 , any existing source subject to this subchapter shall achieve the effluent limitations in sub. (2) , (3) , or (4) representing the degree of effluent reduction attainable by the application of BCT. (2) Iron and steel byproduct cokemaking. (a) The following BCT effluent limitations apply: (b) Increased loadings, not to exceed 11% above the limitations in par. (a) , are allowed for plants which have wet desulfurization systems but only to the extent that such systems generate an increased effluent volume. (c) Increased loadings, not to exceed 27% above the limitations in par. (a) , are allowed for plants which include indirect ammonia recovery systems but only to the extent that such systems generate an increased effluent volume. (3) Merchant byproduct cokemaking. (a) The following BCT effluent limitations apply: (b) Increased loadings, not to exceed 10% above the limitations in par. (a) , are allowed for plants which have wet desulfurization systems but only to the extent that such systems generate an increased effluent volume. (c) Increased loadings, not to exceed 25% above the limitations in par. (a) , are allowed for plants which include indirect ammonia recovery systems but only to the extent that such systems generate an increased effluent volume. (4) Beehive cokemaking. Beehive cokemaking operations may not discharge process wastewaters to waters of the state.
Wis. Admin. Code NR 254.017: Effluent limitations representing the degree of effluent reduction attainable by the application of the best conventional pollutant control technology | Justis AI