Electricity subsidies in Indonesia remain high and tend to increase. Existing studies generally propose electricity subsidy reform through economic price adjustment; however, this option potentially arises political and social conflicts. The government and the State Electricity Company have also undertaken several measures to decrease electricity supply costs but those measures remain ineffective due to increasing energy prices needed as fuels for power generations. Our study analyses the effectiveness of two alternative grants for LED lamps and rooftop photovoltaic (PV), to reduce electricity subsidies for low-income residential customers with 450 VA and 900 VA electricity capacity limits. The analysis result is that replacing existing lamps with LED lamps for all those customers will cost the government US$ 313.7 million but potentially decrease electricity subsidies to US$ 208.7 million/year for 15 years. On the other hand, installing the rooftop PV system is ineffective to bring down the electricity subsidies. The investment cost of the on-grid rooftop PV system is between US$ 827.6 and US$ 1,310.3 per house, while the electricity subsidy savings for 20 years are between US$ 724.1 and US$ 744.8.@en

Failures of countries to set and achieve renewable energy targets are prevalent, producing uncertainty as to the possibility of renewable energy contributing to a reduction in global emissions. Lack of policy and incorrect modelling analyses are among the sources of these failures and understanding these two sources is crucial for improving confidence in renewables. We assess errors in projections pertaining to the capacity and production of renewable energy in the United States and those countries of the European Union that have strong commitments to green energy supply. Our results show that solar energy has the lowest level of uncertainty as it has the most achievable capacity projections. However, other renewables entail more attractive policies and further research is needed for the advancement of reliable technology and accurate weather predictions. Our findings also provide ranges for the projection uncertainties for six renewable energy technologies, drawing attentions to ways that the dominant errors in these renewable energy projections may be rectified.@en