The social, policy and economy factor in the solar power market potential identification model with the case study for China

Yang, Y. (2018). The social, policy and economy factor in the solar power market potential identification model with the case study for China. (Unpublished Doctoral thesis, City, University of London)

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Abstract

This study is inspired by a previous research of market potential identification for small scale solar power generator by David Sanchez. Sanchez et al’s model includes 5 factors’ analysis: Solar Irradiation (DNI), Demand, Grid, Social-Policy and Risk. Among these 5 factors, the Social-Policy factor includes the analysis of the policy of renewable energy and economy variation in EU countries as well as the energy import rate for 22 candidate countries. The potential problems for this Social-Policy factor model are: 1. This model overlooks the regional diversity on policy and economy situation in big countries, such as China. 2. This model analyses the policies for renewable energy in EU countries, however, it lacks specific policy information for solar power 3. The energy import rate cannot reflect the whole picture of other energies’ interference, especially in a country with sufficient local energy resources.

Therefore, the aim of this study is to modify the model for Social-Political factor in Market Potentials Identification study and prove the market potential regional variety with this factor. This study also uses China as a case study in modifying the Social-Policy factor in the solar market potential identification study from Sánchez et al. and then identify the factor of social, economy and policy in different province in China. Factor ‘social, economy and policy’ (Fs) includes 4 sub-factors: Energy Mix Factor, Economic Factor (GDP &GDP growth rate), Policy factor (Local policy in solar power) and Solar increase trend factor. Through this study, it will be proved that there is difference for the market potential for China in each province. As a result, for big countries like China, the regional analysis needs to be applied on market potential identification.

Publication Type: Thesis (Doctoral)
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Departments: Doctoral Theses
Doctoral Theses > School of Mathematics, Computer Science and Engineering
School of Mathematics, Computer Science & Engineering > Engineering
URI: http://openaccess.city.ac.uk/id/eprint/19973

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