Energy systems modelling to support key strategic decisions in energy and climate change at regional scale. (February 2015)

• Record Type: Journal Article
• Authors: Di Leo, Senatro; Pietrapertosa, Filomena; Loperte, Simona; Salvia, Monica; Cosmi, Carmelina
• Is Part Of: Renewable & sustainable energy reviews. Volume 42(2015:Feb.)
• Page Start: 394
• Page End: 414
• Publication Date: 2015-02
• Subjects: Energy system analysis -- Regional energy planning -- Climate planning -- TIMES models generator -- Basilicata region; Renewable energy sources -- Periodicals; Power resources -- Periodicals; Énergies renouvelables -- Périodiques; Ressources énergétiques -- Périodiques; 333.794
• DOI: 10.1016/j.rser.2014.10.031
• Languages: English
• ISSNs: 1364-0321

Abstract

Abstract: The evidence of relationships between climate change induced by greenhouse gases of anthropogenic origin, and energy-economic issues (inappropriate use of fossil fuels and technologies, uncertainty in fuels price and demand trends, etc.) asks for the adoption of a holistic approach in order to re-orient the anthropogenic activities' system towards a configuration that harmonizes environmental protection, economic growth and security of energy supply. In this framework, energy system sustainability represents one of the major challenge the EU is facing and its implementation passes through a path of coordinate actions carried out by local governments in which objectives of sustainable development become integral part of strategic programming. The aim of this research is to provide local administrations with an analytical support tool to guide key strategic decisions in energy and climate planning on the medium-long term, assessing the possible role of local energy systems in the achievement of sustainable objectives at national/European scale. This paper focuses on the implementation of a partial equilibrium TIMES-generated model in a real case study, the regional energy system of Basilicata region (Southern Italy). First, it describes the adopted methodology. Second, it is provided a step-by-step description and characterisation of the reference energy system and the model's data input which represents the first step for an in-depth knowledge of the present energy system on which to build effective and sustainable local energy and climate plans.