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Gaining independence from fossil fuels and combating climate change are the main factors to increase the generation of electricity from renewable fuels. Amongst the renewable technologies, solar photovoltaic (PV) is believed to have the largest potential. However, the number of people adopting solar PV technologies is still relatively low. Therefore, the purpose of this paper is to examine the household consumers’ acceptance of solar PV technology being installed on their premises.

To examine the solar PV technology acceptance, this study uses technology acceptance model (TAM) as a reference framework. A survey was conducted to gather data and to validate the research model. Out of 780 questionnaires distributed across Malaysia, 663 were returned and validated.

The analysis revealed that perceived ease of use, perceived usefulness and attitude to use significantly influenced behavioural intention to use solar PV technology.

This study contributes by extending the understanding of public inclination towards the adoption of solar PV technology. Also, this study contributes in identifying the areas which need to be examined further. However, collecting data from urban peninsular Malaysian respondents only limits the generalization of the results.

On the policy front, this study reveals that governmental support is needed to trigger PV acceptance.

This paper uses TAM to analyse the uptake of solar PV technology in Malaysian context.

The purpose of this paper is to provide an assessment of Malaysia's renewable capacity target. Malaysia relies heavily on fossil fuels for electricity generation. To diversify the fuel-mix, a technology-specific target has been set by the government in 2010. Considering the complexity in generation expansion, there is a dire need for an assessment model that can evaluate policy in a feedback fashion. The study also aims to expand policy evaluation literature in electricity domain by taking a dynamic systems approach.

System dynamics modelling and simulation approach is used in this study. The model variables, selected from literature, are constituted into casual loop diagram. Later, a stock and flow diagram is developed by integrating planning, construction, operation, and decision making sub-models. The dynamic interactions between the sub-sectors are analysed based on the short-, medium- and long-term policy targets.

Annual capacity constructions fail to achieve short-, medium- and long-term targets. However, the difference in operational capacity and medium- and long-term target are small. In terms of technology, solar photovoltaic (PV) attains the highest level of capacity followed by biomass.

While financial calculations are crucial for capacity expansion decisions, currently they are not being modelled; this study primarily focuses on system delays and exogenous components only.

A useful model that offers regulators and investors insights on system characteristics and policy targets simultaneously.

This paper provides a model for evaluating policy for renewable capacity expansion development in a dynamic context, for Malaysia.