Please wait a minute...
Shopping Cart Email List Chinese
Advanced Search Fig/Tab
Frontiers of Engineering Management

ISSN 2095-7513

ISSN 2096-0255(Online)

CN 10-1205/N

Postal Subscription Code 80-905

Featured Articles  |  Most Downloaded  |  Most Reading
Online Submission Subscribe to Our RSS Content Feed
Front. Eng    2015, Vol. 2 Issue (2) : 125-130    https://doi.org/10.15302/J-FEM-2015031
ENGINEERING MANAGEMENT TREATISES
Economic Analysis of Residential Distributed Solar Photovoltaic
Xi Luo1(), Jia-ping Liu2
1. School of Management, Xi’an University of Architecture and Technology, Xi’an 710055, China
2. School of Architecture, Xi’an University of Architecture and Technology, Xi’an 710055, China
 Download: PDF(758 KB)   HTML
 Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks
Abstract

Under the huge challenges of global energy conservation, emission reduction and energy security, distributed solar photovoltaic industry has become the key means to achieve economic restructuring and low carbon economy. Based on System Advisor Model software, the authors choose Baoji as the sample plot. Household load, unit investment, loan interest rate and loan fraction are used as influence factors to analyze the economic benefits of distributed solar photovoltaic in China. The result demonstrates that government incentives help to increase the profitability of distributed solar photovoltaic by a large extent; other factors that influence the profitability includes household load, unit investment cost, loan interest rate and loan fraction.
Keywords distributed solar photovoltaic      internal rate of return      price ladder      government incentives     
Corresponding Author(s): Xi Luo   
Online First Date: 13 October 2015    Issue Date: 12 November 2015
 Cite this article:   
Xi Luo,Jia-ping Liu. Economic Analysis of Residential Distributed Solar Photovoltaic[J]. Front. Eng, 2015, 2(2): 125-130.
 URL:  
https://academic.hep.com.cn/fem/EN/10.15302/J-FEM-2015031
https://academic.hep.com.cn/fem/EN/Y2015/V2/I2/125
Level Annual Power Consumption/kWh Electricity Price/(CNY·kWh−1)
1st Power consumption<2,160 0.4983
2nd 2,160≤Power consumption<4,200 0.5483
3rd Power consumption≥4,200 0.7983
Tab.1  Price Ladder of Shaanxi Residential Electricity
Annual Power Generation /kWh Annual Power Consumption /kWh Financial Returns/CNY
0?2,160 Consumption<Generation Consumption×0.4983+(Generation?Consumption)×0.3974
Generation<Consumption<2,160 Generation×0.4983
2,160<Consumption<2,160+Generation 1,076.328+(Consumption?2,160)×0.5483?(Consumption?Generation)×0.4983
2,160+Generation<Consumption<4,200 Generation×0.5483
4,200<Consumption<4,200+Generation 1,118.53+(Consumption?4,200)×0.7983?(Consumption?Generation?
2,160)×0.5483
Consumption>4,200+Generation Generation×0.7983
2,040?2,160 Consumption<Generation Consumption×0.4983+(Generation?Consumption)×0.3974
Generation<Consumption<2,160 Generation×0.4983
2,160<Consumption<4,200 1,076.328+(Consumption?2,160)×0.5483?(Consumption?Generation)×0.4983
4,200<Consumption<2,160+Generation 2,194.86+(Consumption?4,200)×0.7983?(Consumption?Generation)×
0.4983
2,160+Generation<Consumption<4,200+Generation 1,118.53+(Consumption?4,200)×0.7983?(Consumption?Generation?
2,160)×0.5483
Consumption>4,200+Generation Generation×0.7983
2,160?4,200 Consumption<2,160 Consumption×0.4983+(Generation?Consumption)×0.3974
2,160<Consumption<Generation 1,076.328+(Consumption?2,160)×0.5483+(Generation?Consumption)×0.3974
Generation<Consumption<4,200 1,076.328+(Consumption?2,160)×0.5483?(Consumption?Generation)×0.4983
4,200<Consumption<2,160+Generation 2,194.86+(Consumption?4,200)×0.7983?(Consumption?Generation)×
0.4983
2,160+Generation<Consumption<4,200+Generation 1,118.53+(Consumption?4,200)×0.7983?(Consumption?Generation?
2,160)×0.5483
Consumption>4,200+Generation Generation×0.7983
Above 4,200 Consumption<2,160 Consumption×0.4983+(Generation?Consumption)×0.3974
2,160<Consumption<4,200 1,076.328+(Consumption?2,160)×0.5483+(Generation?Consumption)×0.3974
4,200<Consumption<Generation 2,194.86+(Consumption?4,200)×0.7983+(Generation?Consumption)×
0.3974
Generation<Consumption<2,160+Generation 2,194.86+(Consumption?4,200)×0.7983?(Consumption?Generation)×
0.4983
2,160+Generation<Consumption<4,200+Generation 1,118.53+(Consumption?4,200)×0.7983?(Consumption?Generation?
2,160)×0.5483
Consumption>4,200+Generation Generation×0. 7983
Tab.2  Relationship between Shaanxi Distributed PV Financial Returns and Household Load
Fig.1  The variation between IRR of photovoltaic system and household load.
Fig.2  Sensibility analysis of unit investment cost of distributed solar photovoltaic system.
Annual Power Generation/kWh Annual Power Consumption/kWh Financial Returns/CNY
0?2,160 Consumption<Generation Consumption×0.4983+(Generation?Consumption)×0.3974
Generation≤Consumption<2,160 Generation×0.4983
2,160≤Consumption<(2,160+Generation) 1,076.328+(Consumption?2,160)×0.5483?(Consumption?Generation)×0.4983
(2,160+Generation)≤Consumption<4,200 Generation×0.5483
4,200≤Consumption<(4,200+Generation) 1,118.53+(Consumption?4,200)×0.7983?(Consumption?Generation?
2,160)×0.5483
Consumption≥(4,200+Generation) Generation×0.7983
2,040?2,160 Consumption<Generation Consumption×0.4983+(Generation?Consumption)×0.3974
Generation≤Consumption<2,160 Generation×0.4983
2,160≤Consumption<4,200 1,076.328+(Consumption?2,160)×0.5483?(Consumption?Generation)×0.4983
4,200≤Consumption<(2,160+Generation) 2,194.86+(Consumption?4,200)×0.7983?(Consumption?Generation)×
0.4983
(2,160+Generation)≤Consumption<(4,200+Generation) 1,118.53+(Consumption?4,200)×0.7983?(Consumption?Generation?
2,160)×0.5483
Consumption≥(4,200+Generation) Generation×0.7983
2,160?4,200 Consumption<2,160 Consumption×0.4983+(Generation?Consumption)×0.3974
2,160≤Consumption<Generation 1,076.328+(Consumption?2,160)×0.5483+(Generation?Consumption)×0.3974
Generation≤Consumption<4,200 1,076.328+(Consumption?2,160)×0.5483?(Consumption?Generation)×0.4983
4,200≤Consumption<(2,160+Generation) 2,194.86+(Consumption?4,200)×0.7983?(Consumption?Generation)×
0.4983
(2,160+Generation)≤Consumption<(4,200+Generation) 1,118.53+(Consumption?4,200)×0.7983?(Consumption?Generation?
2,160)×0.5483
Consumption≥(4,200+Generation) Generation×0.7983
Above 4,200 Consumption<2,160 Consumption×0.4983+(Generation?Consumption)×0.3974
2,160≤Consumption<4,200 1,076.328+(Consumption?2,160)×0.5483+(Generation?Consumption)×0.3974
4,200≤Consumption<Generation 2,194.86+(Consumption?4,200)×0.7983+(Generation?Consumption)×
0.3974
Generation≤Consumption<(2,160+Generation) 2,194.86+(Consumption?4,200)×0.7983?(Consumption?Generation)×
0.4983
(2,160+Generation)≤Consumption<(4,200+Generation) 1,118.53+(Consumption?4,200)×0.7983?(Consumption?Generation?
2,160)×0.5483
Consumption≥(4,200+Generation) Generation×0. 7983
Tab.3  Relationship between Shaanxi Distributed PV Financial Returns and Household Load
Fig.3  The influence of IRR caused by interest and proportion of loans.
Fig.4  The influence of IRR caused by government incentives.
System Size/kW Annual Power Consumption/kWh Averaged IRR/%
No Incentive Only Federal Federal+State
0.92 1,000 −0.4892 6.8962 8.2650
2,000 −0.2914 7.0730 8.4579
3,000 0.5902 7.7334 9.1591
4,000 0.8459 7.9429 9.3845
3.22 1,000 −1.6752 6.3840 7.7301
2,000 −1.0006 6.8551 8.2287
3,000 −0.1025 7.5045 8.9174
4,000 0.6071 8.0937 9.5533
4.14 1,000 −1.7768 6.3508 7.6985
2,000 −1.2445 6.7191 8.0845
3,000 −0.5276 7.2294 8.6261
4,000 0.1893 7.7554 9.1846
Tab.4  The Influence of IRR Caused by Government Incentives
1 International Renewable Energy Agency. (2015). Renewable power generation costs in 2014. Bonn: International Renewable Energy Agency (IRENA)
2 National Development and Reform Commission. (2013). The notice on leveraging the healthy development of solar photovoltaic industry by tariff policy (NDRC Price Issues, No.1638, 2013). Beijing: National Development and Reform Commission.
3 National Renewable Energy Laboratory. (2014). System advisor model (version 2014.11.24)[Computer software]. Golden, Colorado: Alliance for Renewable Energy, LLC
4 The People’s Government of Shaanxi Province. (2014). Policy on promoting demonstration program of distributed solar photovoltaic (Shaanxi Government Issues, No. 37, 2014). Xi’an: The People’s Government of Shaanxi Province.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed