Coal-fired power industry water-energy-emission nexus: A multi objective optimization

被引:33
|
作者
Wang, Chunyan [1 ]
Olsson, Gustaf [2 ]
Liu, Yi [1 ]
机构
[1] Tsinghua Univ, Sch Environm, Beijing, Peoples R China
[2] Lund Univ, Ind Elect Engn & Automat, Lund, Sweden
基金
中国国家自然科学基金;
关键词
Multi-objective optimization; Ultra-low emission; Water-energy-emission nexus; AIR-POLLUTION CONTROL; MULTIOBJECTIVE OPTIMIZATION; SHANDONG PROVINCE; CHINA; PLANTS; POLICY; POLLUTANTS; RESOURCE; SYSTEM;
D O I
10.1016/j.jclepro.2018.08.264
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The Chinese government has launched a guideline to lead power plants to more suitable technological pathways for meeting the strict "ultra-low emission" ("ULE") standards to reduce air pollution emissions of the coal-fired power industry. Considering the complex interrelations between water, energy and emission, a quantifiable method of choosing the feasible technology sets for 6 multi-objective optimizations goals (MOGs) in the concept of water-energy-emission nexus (WEEN) was developed in this study. The results showed that the 16 technology sets can meet the "ULE", which could mitigate at least 72% of the current emissions at the cost of up to 17% increase of water/energy consumption. Specific technology sets were identified for 6 different MOGs with the coordinate consideration of WEEN. The comparisons among the 6 MOGs indicated that (1) the investment cost was not a vital factor in the optimizing procedures; (2) dust reduction was sensitive to the water/energy optimization goal due to the synergic dust removal effects of the desulfurization technologies; (3) the water for WEEN was easier to reduce than the energy for WEEN from the perspective of the tradeoffs of emissions. The identified 12 feasible technology sets for WEEN (-cost) would shed lights on more coordinately policy making process. (C) 2018 Elsevier Ltd. All rights reserved.
引用
收藏
页码:367 / 375
页数:9
相关论文
共 50 条
  • [1] Characterizing of water-energy-emission nexus of coal-fired power industry using entropy weighting method
    Wang, Chunyan
    Xu, Ming
    Olsson, Gustaf
    Liu, Yi
    RESOURCES CONSERVATION AND RECYCLING, 2020, 161
  • [2] Investigation of water-energy-emission nexus of air pollution control of the coal-fired power industry: A case study of Beijing-Tianjin-Hebei region, China
    Wang, Chunyan
    Li, Paging
    Liu, Yi
    ENERGY POLICY, 2018, 115 : 291 - 301
  • [3] Multi-objective optimization on total cost and carbon dioxide emission of coal supply for coal-fired power plants in Indonesia
    Baskoro, Firly Rachmaditya
    Takahashi, Katsuhiko
    Morikawa, Katsumi
    Nagasawa, Keisuke
    SOCIO-ECONOMIC PLANNING SCIENCES, 2022, 81
  • [4] Multi-objective optimization of coal-fired power plants using differential evolution
    Wang, Ligang
    Yang, Yongping
    Dong, Changqing
    Morosuk, Tatiana
    Tsatsaronis, George
    APPLIED ENERGY, 2014, 115 : 254 - 264
  • [5] MULTI OBJECTIVE OPTIMIZATION OF FLEXIBLE SUPERCRITICAL CO2 COAL-FIRED POWER PLANTS
    Alfani, Dario
    Astolfi, Marco
    Binotti, Marco
    Campanari, Stefano
    Casella, Francesco
    Silva, Paolo
    PROCEEDINGS OF THE ASME TURBO EXPO: TURBOMACHINERY TECHNICAL CONFERENCE AND EXPOSITION, 2019, VOL 3, 2019,
  • [6] An optimal integrated power and water supply planning model considering Water-Energy-Emission nexus
    Mamaghani, Faraz Afsari
    Omidvar, Babak
    Avami, Akram
    Nabi-Bidhendi, Gholamreza
    ENERGY CONVERSION AND MANAGEMENT, 2023, 277
  • [7] Multi-objective optimization of coal-fired power units considering deep peaking regulation in China
    Feng, Sida
    Zhang, Xingping
    Zhang, Haonan
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (04) : 10756 - 10774
  • [8] Multi-objective optimization of coal-fired power units considering deep peaking regulation in China
    Sida Feng
    Xingping Zhang
    Haonan Zhang
    Environmental Science and Pollution Research, 2023, 30 : 10756 - 10774
  • [9] A comparative study of the multi-objective optimization algorithms for coal-fired boilers
    Wu, Feng
    Zhou, Hao
    Zhao, Jia-Pei
    Cen, Ke-Fa
    EXPERT SYSTEMS WITH APPLICATIONS, 2011, 38 (06) : 7179 - 7185
  • [10] A technology-based analysis of the water-energy-emission nexus of China's steel industry
    Wang, Chunyan
    Wang, Ranran
    Hertwich, Edgar
    Liu, Yi
    RESOURCES CONSERVATION AND RECYCLING, 2017, 124 : 116 - 128