Extension of portfolio theory application to the problem of energy planning

Energy procurement is a necessity which needs a deep study, of both the demand and the generation sources, referred to consumers localization. The study presented in the paper is an attempt to extend and consolidate the study of Shimon Awerbuch on Portfolio Theory applied to the energy planning, in order to define a broad-based generating mix which optimizes one or more objective functions defined by either the designer or the final user. For this purpose the computation model was specialized in energy procurement problem and extended with the addition of new cost-risk settings, like social-environmental assets and renewable energy availability, and Black-Litterman model, which extends Markovitz and Capital Asset Pricing Model (CAPM) theory. Energy planning was also contextualized to the territory: the introduction of geographic and climatic features, together with the respect of regulations on landscape-environment protection, allow to plan energy infrastructures on both global and local scale (regional, provincial, municipal). The result is an efficient decision making tool to drive the investment on typical energy policy assets. In general the tool allows to analyze several scenarios in support of renewable energy sources, environmental sustainability, costs and risks reduction.