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Renewable energy is a focal point of discussion in the European Union, as clean production technologies contribute to all three aims of energy policy (security, competitiveness, and sustainability). This paper focuses on an empirical assessment of feed-in tariff and quota obligation policies, as well as their policy design elements, applied to solar photovoltaic energy in the European Union over the period 2000–2014. The results indicate that only feed-in tariff policy has significant impacts in terms of installed photovoltaic capacity. However, its main policy design elements (tariff size and contract duration) have a positive but not significant influence on the development of this clean production technology. Policy-makers should consider the importance of reducing regulatory uncertainty about these parameters. [ABSTRACT FROM AUTHOR]

Abstract: This paper examines solar photovoltaic (PV) in Malaysia. First, it analyzes the current energy demand in Malaysia and discusses some of the national policies and the installations of solar PV in urban and rural areas in the country. Next, the general Feed-In Tariff (FiT) scheme is explained, indicating its potential as one of the investment options for Malaysians. Finally, the loan financing option for solar PV is presented, providing examples that have been implemented in other countries, as well as explaining the Green Technology Financing Scheme (GTFS) for companies and the proposed soft loan scheme for individual households in Malaysia. It also analyses the impact of the proposed interest rate to household consumers in Malaysia, in terms of total profit, net present value and internal rate of return. It is found that the FiT scheme could potentially help in increasing renewable energy penetration, particularly for solar PV. To provide upfront capital for solar PV installation, it is shown that the GTFS is a good financial source for companies while for individual home owners, a soft loan facility from banking institutions is a feasible source if the interest rate is 5% or less. [Copyright &y& Elsevier]

Abstract: Solar photovoltaic (PV) technology has matured to become a technically viable large-scale source of sustainable energy. Understanding the rooftop PV potential is critical for utility planning, accommodating grid capacity, deploying financing schemes and formulating future adaptive energy policies. This paper demonstrates techniques to merge the capabilities of geographic information systems and object-specific image recognition to determine the available rooftop area for PV deployment in an example large-scale region in south eastern Ontario. A five-step procedure has been developed for estimating total rooftop PV potential which involves geographical division of the region; sampling using the Feature Analyst extraction software; extrapolation using roof area-population relationships; reduction for shading, other uses and orientation; and conversion to power and energy outputs. Limitations faced in terms of the capabilities of the software and determining the appropriate fraction of roof area available are discussed. Because this aspect of the analysis uses an integral approach, PV potential will not be georeferenced, but rather presented as an agglomerate value for use in regional policy making. A relationship across the region was found between total roof area and population of 70.0m2/capita±6.2%. With appropriate roof tops covered with commercial solar cells, the potential PV peak power output from the region considered is 5.74GW (157% of the region’s peak power demands) and the potential annual energy production is 6909GWh (5% of Ontario’s total annual demand). This suggests that 30% of Ontario’s energy demand can be met with province-wide rooftop PV deployment. This new understanding of roof area distribution and potential PV outputs will guide energy policy formulation in Ontario and will inform future research in solar PV deployment and its geographical potential. [Copyright &y& Elsevier]