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The computer technology (CT) for modelling of the ecology‐economic situation in the alienation zone (AZ) of Chenobyl is developed. It includes the databases of potentially dangerous objects and program modules (PM) for modelling of the ecology‐economic situation in the AZ. The optimal redistribution of means, directed at resource restoration, liquidation of technogenic pollution, the restoration of basis capital, prevention of pollution migration for bounds of the AZ is determined by use of this model. A distinctive feature of the accounts carried out in this work is that they allow the estimation not only of risk value, but also of levels of reserve possiblities of various objects of the AZ. The critical values of measured parameters, at which achievement the emergencies can occur, are also determined. The CT includes the following program modules: geo‐information system; PM for risk assessment of emergency occurences in the AZ; PM for dynamic optimisation tasks.

When comparing renewables with fossil fuels, emotional approaches are fuelled by the difficulties in defining a proper metric able to make consistent comparisons among energy sources. In literature several approaches have been proposed, all effective in some way but ineffective in others. Variables like energy density, prices, estimated resources, life time emissions, water use and waste, all come at the same time to form an unmanageable mix. This paper discuss the adoption of a shared metric to clarify the boundary conditions that limit the solutions can be operated and to define which scenarios are sustainable and which are not.

Energy density and power density are the cornerstones of the physical limitations in the exploitation of the energy sources. On this basis, a novel classification of energy sources, volumetric and flowing, has been proposed and discussed in light of three parameters: abundance, power density and sustainability. Eventually, an extended definition of power density based on life-cycle assessment is adopted.

Sustainable power density makes possible compare the different energy options and shows how limitation in land comes to be the root of all resources limitations.

A definition of a unique parameter is proposed and pros and cons of all energy options are calculated and put in a single graphic providing new insights into the energy policy.