title: Integrated control of emission reductions, energy-saving, and cost-benefit using a multi-objective optimization technique in the pulp and paper industry.
abstract: Reduction of water pollutant emissions and energy consumption is regarded as a key environmental objective for the pulp and paper industry. The paper develops a bottom-up model called the Industrial Water Pollutant Control and Technology Policy (IWPCTP) based on an industrial technology simulation system and multiconstraint technological optimization. Five policy scenarios covering the business as usual (BAU) scenario, the structural adjustment (SA) scenario, the cleaner technology promotion (CT) scenario, the end-treatment of pollutants (EOP) scenario, and the coupling measures (CM) scenario have been set to describe future policy measures related to the development of the pulp and paper industry from 2010-2020. The outcome of this study indicates that the energy saving amount under the CT scenario is the largest, while that under the SA scenario is the smallest. Under the CT scenario, savings by 2020 include 70 kt/year of chemical oxygen demand (COD) emission reductions and savings of 7443 kt of standard coal, 539.7 ton/year of ammonia nitrogen (NH4-N) emission reductions, and savings of 7444 kt of standard coal. Taking emission reductions, energy savings, and cost-benefit into consideration, cleaner technologies like highly efficient pulp washing, dry and wet feedstock preparation, and horizontal continuous cooking, medium and high consistency pulping and wood dry feedstock preparation are recommended.
authors.affiliation: †State Key Joint Laboratory of Environment Simulation and Pollution Control (SKLESPC), School of Environment, Tsinghua University, Beijing 100084, China.
authors.forename: Zongguo
authors.initials: Z
authors.lastname: Wen
authors.affiliation: †State Key Joint Laboratory of Environment Simulation and Pollution Control (SKLESPC), School of Environment, Tsinghua University, Beijing 100084, China.
authors.forename: Chang
authors.initials: C
authors.lastname: Xu
authors.affiliation: †State Key Joint Laboratory of Environment Simulation and Pollution Control (SKLESPC), School of Environment, Tsinghua University, Beijing 100084, China.
authors.forename: Xueying
authors.initials: X
authors.lastname: Zhang
mesh_terms: D064751:Ammonium Compounds / Q000032:analysis; D057919:Biological Oxygen Demand Analysis; D003246:Conservation of Energy Resources / Q000191:economics*; D003362:Cost-Benefit Analysis; D004777:Environment; D007220:Industrial Waste / Q000032:analysis* / Q000191:economics*; D008962:Models, Theoretical; D010209:Paper; D014874:Water Pollutants, Chemical / Q000032:analysis; D014876:Water Pollution / Q000191:economics* / Q000517:prevention & control*
chemical_list: D064751:Ammonium Compounds; D007220:Industrial Waste; D014874:Water Pollutants, Chemical