Next Article in Journal
Improvement of MPPT Control Performance Using Fuzzy Control and VGPI in the PV System for Micro Grid
Next Article in Special Issue
Cumulative Environmental Effects of Hydropower Stations Based on the Water Footprint Method—Yalong River Basin, China
Previous Article in Journal
The Effects of Electricity Production on Industrial Development and Sustainable Economic Growth: A VAR Analysis for BRICS Countries
Previous Article in Special Issue
Response of Water Resources to Future Climate Change in a High-Latitude River Basin
Open AccessArticle

Urban Industrial Water Supply and Demand: System Dynamic Model and Simulation Based on Cobb–Douglas Function

1
School of Management Science and Engineering & China Institute of Manufacturing Development, Nanjing University of Information Science & Technology, Nanjing 210044, China
2
Department of Mathematics and Computer Science, University of North Carolina at Pembroke, Pembroke, NC 28372, USA
*
Author to whom correspondence should be addressed.
Sustainability 2019, 11(21), 5893; https://doi.org/10.3390/su11215893
Received: 12 September 2019 / Revised: 17 October 2019 / Accepted: 21 October 2019 / Published: 23 October 2019
(This article belongs to the Special Issue Water Resources and Green Growth)
In order to meet the needs of water-saving society development, the system dynamics method and the Cobb–Douglas (C–D) production function were combined to build a supply and demand model for urban industrial water use. In this model, the industrial water demand function is expressed as the sum of the general industrial water demand and the power industry water demand, the urban water supply function is expressed as the Cobb–Douglas production function, investment and labor input are used as the control variables, and the difference between supply and demand in various situations is simulated by adjusting their values. In addition, the system simulation is conducted for Suzhou City, Jiangsu Province, China, with 16 sets of different, carefully designed investment and labor input combinations for exploring a most suitable combination of industrial water supply and demand in Suzhou. We divide the results of prediction into four categories: supply less than demand, supply equals demand, supply exceeds demand, and supply much larger than demand. The balance between supply and demand is a most suitable setting for Suzhou City to develop, and the next is the type in which the supply exceeds demand. The other two types cannot meet the development requirements. We concluded that it is easier to adjust the investment than to adjust the labor input when adjusting the control variables to change the industrial water supply. While drawing the ideal combination of investment and labor input, a reasonable range of investment and labor input is also provided: the scope of investment adjustment is 0.6 I 0 1.1 I 0 , and the adjustment range of labor input is 0.5 P 0 1.2 P 0 . View Full-Text
Keywords: industrial water; water supply and demand; system dynamics; Cobb–Douglas production function industrial water; water supply and demand; system dynamics; Cobb–Douglas production function
Show Figures

Figure 1

MDPI and ACS Style

Li, K.; Ma, T.; Wei, G.; Zhang, Y.; Feng, X. Urban Industrial Water Supply and Demand: System Dynamic Model and Simulation Based on Cobb–Douglas Function. Sustainability 2019, 11, 5893.

AMA Style

Li K, Ma T, Wei G, Zhang Y, Feng X. Urban Industrial Water Supply and Demand: System Dynamic Model and Simulation Based on Cobb–Douglas Function. Sustainability. 2019; 11(21):5893.

Chicago/Turabian Style

Li, Kebai; Ma, Tianyi; Wei, Guo; Zhang, Yuqian; Feng, Xueyan. 2019. "Urban Industrial Water Supply and Demand: System Dynamic Model and Simulation Based on Cobb–Douglas Function" Sustainability 11, no. 21: 5893.

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop