Chapter 5 Conclusion and Recommendation
5.3 Limitations
Because all of the policies are for total renewable energy, it is difficult to separate the solar energy from them, and the author has to collect the data by calculating the public government’s data from. Furthermore, the development of renewable energy began in about 2009, and it is the minimum of the development before 2008. Therefore, the choice of indicators and the data collected of each variable have a certain degree of difficulty in this study.
Because of the willingness to install is difficult to measure and the secondary data is difficult to collect, the study based on other literature.
The study did not discuss the factors of export, the effect of other alternative fuel, the learning and growth dimension of solar energy industry and the electric price. Therefore, the relationship between the two variables is not obviously related. It may necessary to find out other related variables to link with. The study maybe ignores the others variables in the solar energy development.
5.4 Suggestions for Future Research
Because the development of solar energy began in the past three years, the secondary data is too difficult to collect.Based on the limitations of this study, the author suggested that the future researchers can amend the model, the
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design and the application of this study in detailed, such as the R & D staff input and generate efficiency etc.
On the other hand, the author cannot guarantee and confirm that whether the development trend in the real environment is consistent with our simulation.
Thus, the future researchers can try to test, verify and compare the real development of this industry with the simulation result of this study.
Finally, because of the time limitation, the installed willingness is measured by another literature. Maybe the future researchers can try to use the questionnaires or interviews to measure the installed willingness more accurately.
Reference
Trappey J.C., and Charles T., and Hsiao C.T. , and Jerry J.R., and Lie, S.J. , and Chen W.P. (2012). An evaluation model for low carbon island policy:The case of Taiwan’s green transportation policy. Energy Policy, (45), pp.510-515.
Berger, W., “Catalysts for the Diffusion of Photovoltaics—A Review of
Selected Programmes,” Progress in PVs: Research and Applications, Vol.9, no. 2, 2001, pp.145–160.
Bhandari, R., & Stadler, I. (2009). Grid parity analysis of solar photovoltaic
systems in Germany using experience curves. Solar Energy.
Coyle, R. G. (1996). System dynamics modelling: A practical approach.
London: Chapman & Hall.
Cesta, J. R. and Decker, P. G., (1978). Speeding solar energy
commercialization: A delphi research of marketplace factors. Journal of Business Research, 6, pp. 311-328.
Chou, T. C. (2009). Willingness-to-pay for Household Photovoltaic Systems
about Leasing contrast to Purchasing and Influential factors. Master’s
thesis, Department of Resources Engineering, National Cheng Kung University.Chen, Y. C. (2010). A System Dynamics Diffusion Model for Solar Energy.
Master’s thesis, Institute of Information Management, National Cheng Kung University. Master’s thesis, Institute of Law in Science &
Technology National Yunlin University of Science & Technology in Partial Fulfillment of the Requirements for the Degree of Master of Law In
102
Science & Technology Law.
Chih, S,Y. (2011).
The Research of Renewable Energy Promotion Policies and Legislations in U.S.- Focus on RPS.
Forrester, J. W. (1991). System dynamics and the lessons of 35 years. In K. B.
D. Greene (Ed.), The systemic basis of policy making in the 1990s.
Boston: MIT.
EPIA (2009). Solar Photovoltaic Electricity: A mainstream power source in
Europe by 2020. European Photovoltaic Industry Association.
http://www.epia.org/publications/photovoltaic-publications-global-market-outlook.html
Forrester, J. W., & Senge, P. M. (1979). Tests for building confidence in system
dynamics models. Cambridge: System Dynamics Group, Sloan School
of Management, Massachusetts Institute of Technology.Faiers, A. and Neame, C., 2006. Consumer attitudes towards domestic solar
power system. Energy Policy, 34 (14), pp. 1797-1806.
Ford, A. (1998). System dynamics and the electric power industry. Sysem
Dynamic Review. 13(1), 57–85.
Goett, A., Hudson, K. and Train, K. (2002), “Customers’ Choice Among Retail Energy Suppliers: The Willingness-to-Pay for Service Attribute,”
AAGAssociates, and Department of Economics University of California, Berkeley
.
Han, Z. (2002). System Dynamics - The Key to Explore the Dynamic
Complexity. Taipei: Hwa Tai Publishing.
Hsieh, C. H. (1980). System Dynamics - Theory, Methods and Applications.
Taipei: Chung Hsing Management Consultant.
Huang, J. (2010). Grid Parity Analysis of Solar Photovoltaic Systems in
Taiwan. Assistant Research Fellow, Taiwan Institute of Economic
Research.Hsu, C. Y. (2011).
Using System Dynamics on the Internet Free Concept Marketing: An Example of Pop Music Industry in Taiwan. , Department of
Asia-Pacific Industrial and Business Management, National University of Kaohsiung.Harmon, C. (2000). Experience curves of photovoltaic technology. Laxenburg,
IIASA, pp, 17.
Hirschmann, W. B., (1964), “Learning Curve,” Chemical Engineering, Vol. 71, No. 7, pp. 95-100.
Isoard, S. and Soria, A., (2001). Technical change dynamics: evidence from the emerging renewable energy technologies, Energy Economics, Vol. 23, No.
6, pp. 619–636.
IEA PVPS, (2009). Survey Report of Selected IEA Countries Between 1992 and
2008.
Kaplan, A. W., 1998. From passive to active about solar electricity: Innovation decision process and photovoltaic interest generation. Technovation, 19 (8), pp. 467-481.
Lee, Y. L. (2002). Dynamic analysis of National Innovation Systems Model - A
Case Study of Taiwan's Integrated Circuit Industry. Ph. D., University of
Manchester, Britain.Lin, S. H. (2011). Identifying the Adoption Factors of Photovoltaic Systems
from Individual and Organizational Perspectives. Master’s thesis,
Graduate Institute of Management of Technology, Feng Chia University.Ma, K.H. (2009). A Study on the Supply-Demand Model of Photovotaic
104
Industry and the Feasibility of reaching Grid Parity. Master’s thesis,
Master of Business Adminstration of National Cheng Kung University.Masini, A., & Frankl, P. (2003). Forecasting the diffusion of photovoltaic systems in southern Europe* 1:: A learning curve approach. Technological
Forecasting and Social Change, 70(1), 39-65.
Njeri, W. (2005). Solar home system electrification as a viable technology option for Africa’s development. Energy Policy, (35), pp.6-14.
Oliver, M. and Jackson, T. The Market for Solar Photovoltaics. Energy Policy, (27),pp.371-385.
Rogers, E. (1995). Diffusion of innovation,The Free Press New York.
Sterman, J. D. (2000). Business dynamics: Systems thinking and modeling for a
complex world. Boston: Irwin/McGraw-Hill.
Timilsina, R., Lefevre, T. and Shrestha, S., “Financing Solar Thermal
Technologies under DSM Programs; An Innovative Approach to PromoteRenewable energy,” International Journal of Energy Research, Vol. 24,no. 6, 2000, pp. 503–510.
Wang, C,S. (2011). Project Evaluation: the Feasibility of Promoting
KaohsiungBecome a Solar City.
Master’s thesis, Department of Asia-Pacific Industrial and Business Management, National University of Kaohsiung.Wander, J. (2006). Stimulating the diffusion of photovoltaic systems: A behavioural perspective. Energy Policy. (34),pp.1935-1943.
Wang, M.J. (2011). Retrospect and Prospect of the PV industry. Industry &
Technology Intelligence ServiceSeminar Presentation.
Yang, S. C. (2011). Using Balanced Scorecard and System Dynamics in
Exploring the Performance of Taiwan's Pharmaceutical Industry. Master’s
thesis, Department of Asia-Pacific Industrial and Business Management, National University of Kaohsiung.
Website
BOE (Bureau of Energy, Ministry of Economic Affairs) http://www.moeaboe.gov.tw/
Taipower Company
http://www.taipower.com.tw/
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Appendix I
The Data and Sources of Indicators
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 Data Source
53 67 81 67 88 02 10 25 11 50 Table of Feed-in
Tarrif (NT dollars)
2 2 2 2 2 2 2 2 2 10.138
2
Taipower
Table of Capacity Installed (Kw)
100 200 300 500 600 1000 1400 2400 5600 9500 Bureau of Energy, Ministry of Economic A
ffairs Table of Output
(Kw)
2000 4000 8000 17000 39000 88000 170000 377000 854000 150300 0
Bureau of Energy, Ministry of Economic A
ffairs
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Appendix II
The FIT of Solar Energy
Type Classification Level of Installed Capacity The FIT Rate (2009)
Solar Energy
ROOF 1Kw~10Kw 10.3185
10Kw~100Kw 9.1799
100Kw~500Kw 8.8241
500Kw 7.9701
Ground 1Kw~ 7.3297
Appendix III
The Cost Structure of Solar PV System
Items Specific Weight Items Specific Weight
Solar Energy Cells Module
35%
Converter5%
Structure of System
10%
Monitoring System10%
Distribution Materials
5%
Administrative Expenses5%
Design and Construction
12.5%
Tax5%
Labor Costs