An emergy ternary diagram approach to evaluate circular economy implementation of eco-industrial parks

被引:17
作者
Zhao, Yu [1 ]
Yu, Miao [1 ]
Kong, Fan-wen [1 ]
Li, Li-hong [1 ]
机构
[1] Shenyang Jianzhu Univ, Sch Management, Shenyang 110168, Liaoning, Peoples R China
关键词
Circular economy; Eco-industrial park; Emergy; Ternary diagram; SETDZ; ENERGY; SUSTAINABILITY; GEOBIOSPHERE; TRANSFORMITY; INVESTMENTS;
D O I
10.1007/s10098-019-01714-z
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Eco-industrial parks could play a positive role in reducing consumption of natural resources and environmental pollution by circular economic development, improving the ecological environment, and enhancing the capacity for sustainable development of economic development zones. However, assessing the ecological and economic efficiency of eco-industrial parks inevitably encounters difficulties, such as the comparability of analysis objects, the unification of dimensions, and the determination of the scope of calculations. These problems can be solved based on emergy analysis methods, specifically by the collection of information on the natural environment, geography, society, and economy of industrial parks. Furthermore, the analysis of the status quo of eco-economy systems in eco-industrial parks can be conducted by means of emergy analysis. This paper analyzes the circular economic sustainability of Shenyang Economic and Technological Development Zone by the emergy ternary diagram. Eco-industrial parks can be scientifically planned to improve the structure, function, and efficiency of the park's complex ecosystem. The method of emergy ternary diagram can effectively evaluate the eco-economic efficiency of the industrial agglomeration area. An emergy ternary diagram intuitively reflects the system's resource allocation. With the aid of the emergy ternary diagram, the analysis on the relationship between the ratio of energy use of system resources and the indicators can not only fully evaluate the sustainability of the existing industrial agglomeration system, but also can predict the future development direction of the system. For the selection of development paths, more explicit direction indications and references are provided, and the application of the emergy theory is more scientific in program optimization, decision-making, and selection. [GRAPHICS] .
引用
收藏
页码:1433 / 1445
页数:13
相关论文
共 42 条
[1]   Emergetic ternary diagrams: five examples for application in environmental accounting for decision-making [J].
Almeida, C. M. V. B. ;
Barrella, F. A. ;
Giannetti, B. F. .
JOURNAL OF CLEANER PRODUCTION, 2007, 15 (01) :63-74
[2]   A review of emergy theory, its application and latest developments [J].
Amaral, Luis P. ;
Martins, Nelson ;
Gouveia, Joaquim B. .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2016, 54 :882-888
[3]  
[Anonymous], 2002, Emergy Synthesis of Ecological-Economic Systems
[4]  
Brandt-Williams S.L., 2002, Handbook of Emergy Evaluation: A Compendium of Data for Emergy Computation Issued in a Series of Folios
[5]   Assessing the global environmental sources driving the geobiosphere: A revised emergy baseline [J].
Brown, Mark T. ;
Ulgiati, Sergio .
ECOLOGICAL MODELLING, 2016, 339 :126-132
[6]   On boundaries and 'investments' in Emergy Synthesis and LCA: A case study on thermal vs. photovoltaic electricity [J].
Brown, Mark T. ;
Raugei, Marco ;
Ulgiati, Sergio .
ECOLOGICAL INDICATORS, 2012, 15 (01) :227-235
[7]   Assessing geobiosphere work of generating global reserves of coal, crude oil, and natural gas [J].
Brown, Mark T. ;
Protano, Gaetano ;
Ulgiati, Sergio .
ECOLOGICAL MODELLING, 2011, 222 (03) :879-887
[8]   Updated evaluation of exergy and emergy driving the geobiosphere: A review and refinement of the emergy baseline [J].
Brown, Mark T. ;
Ulgiati, Sergio .
ECOLOGICAL MODELLING, 2010, 221 (20) :2501-2508
[9]   Predicting national sustainability: The convergence of energetic, economic and environmental realities [J].
Brown, Mark T. ;
Cohen, Matthew J. ;
Sweeney, Sharlynn .
ECOLOGICAL MODELLING, 2009, 220 (23) :3424-3438
[10]   Energy quality, emergy, and transformity: H.T. Odum's contributions to quantifying and understanding systems [J].
Brown, MT ;
Ulgiati, S .
ECOLOGICAL MODELLING, 2004, 178 (1-2) :201-213