Environmental concerns such as security of available resources, global warming, greenhouse effect, Carbon and Nitrogen emissions force governments to take preventive actions and make restrictive regulations. One way to provide a clean environment for the future generations is to promote the usage of renewable energy sources and development of renewable energy technologies. In this perspective the researchers used different methods and indicators to evaluate governments and their polices on renewable energy. In this study, a two-phased taxonomy framework is designed to evaluate renewable energy. The framework has two dimensions; these are general and sustainability dimensions, respectively. For the general dimension three properties are defined, which are global, economic and usage. Sustainability dimension has its own well-known aspects which are environmental, economical and social ones. Each indicator provided from the literature is classified by two properties from each dimension, providing six indicator types. The literature is surveyed with this point of view and a two-phased framework for the indicators that are used evaluate renewable energy is proposed. It is seen that some of these indicators can be easily reached from organizations (OECD, IEA, World Bank, etc.) statistical data, where as some are computed by using these data. This framework and indicators hereby are presented to provide a basis for researchers who aim to evaluate renewable energy usage. The proposed framework constitutes initial step of an ongoing research project to classify the world countries in the context of renewable energy approach by using data mining techniques.
Ayşe Ayçim Selam, Marmara University, Turkey
Mahmure Övül Arıoğlu Akan, Marmara University, Turkey
Seniye Ümit Oktay Fırat, Marmara University, Turkey
Semih Özel, Marmara University, Turkey Merve Er, Marmara University, Turkey
Stream: Energy: Renewable Energy and Environmental Solutions
This paper is part of the NACSEE2014 Conference Proceedings (View)
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