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Multi-objective optimal decision-making of energy development in coastal town belt of Shandong province with carbon emission constraints
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Science & Technology Review | 2020, 38(11) : 89 - 97
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Science & Technology Review | 2020, 38(11): 89-97
Exclusive: Sustainable Development of Energy, Water and Environment Systems
Multi-objective optimal decision-making of energy development in coastal town belt of Shandong province with carbon emission constraints
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ZHANG Xun1,2, FU Zhao1, LIN Gang2, ZHANG Yingchun3
Affiliations
    1. School of Computer science and Engineering, Beijing Technology and Business University, Beijing 100048, China;
    2. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;
    3. Center of Information Network, Beijing Technology and Business University, Beijing 100048, China
Published: 2020-06-13 doi: 10.3981/j.issn.1000-7857.2020.11.010
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This paper studies the problems of the high energy consumption and the carbon emissions in the energy development, focusing on the coastal urban belt of Shandong Province, putting the factor of the carbon dioxide emission into the optimization of the energy consumption structure, and building a multi-objective optimization model of the energy consumption structure of the coastal urban belt of Shandong Province by using the method of the multi-objective planning, with the objective function as to minimize the cost of the carbon emission and the cost of the pollutant treatment from the energy consumption and with the constraint functions based on the economic development planning, the total energy consumption, the energy consumption structure and the carbon emissions. The results of the multi-objective optimization of the energy development in 2035 are as follows:the coal consumption accounts for 36% of the total energy consumption; the oil consumption accounts for 17% of the total energy consumption; the natural gas consumption accounts for 25% of the total energy consumption; and the clean energy accounts for 22% of the total energy consumption. All indicators are in line with the multiple objectives and the constraints of the energy consumption of Shandong Province. Finally, suggestions are made for the future development of the coastal cities and towns within the low carbon scenario:speeding up the structural reform of the energy supply side and the energy consumption side, and implementing effective measures such as clean energy and electricity substitution, in order to accelerate the transformation of the high-energy-consuming production mode, promoting the optimization and the upgrading of the economic structure, to achieve a sustainable development of the energy saving, the emission reduction and the low-carbon environmental protection.
energy consumption structure  /  carbon dioxide emission  /  Multi-Objective Decision Model
ZHANG Xun, FU Zhao, LIN Gang, ZHANG Yingchun. Multi-objective optimal decision-making of energy development in coastal town belt of Shandong province with carbon emission constraints[J]. Science & Technology Review, 2020 , 38 (11) : 89 -97 . DOI: 10.3981/j.issn.1000-7857.2020.11.010
Year 2020 volume 38 Issue 11
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doi: 10.3981/j.issn.1000-7857.2020.11.010
  • Receive Date:2019-12-10
  • Online Date:2020-06-30
  • Published:2020-06-13
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  • Received:2019-12-10
  • Revised:2020-03-30
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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