| Abstract |
A geo-spatially distributed and coupled energy — air quality model is described in this paper. Our approach is to build upon the large scale systems analytic method from a non-geo-spatial (prototype). We focus on new developments of the geo-spatial distribution of emission and energy technologies in the energy model. Our approach is the building of a meta-modeling to perform a full geo-spatial analysis of energy sources, devices, and their emissions for the four broad sectors of the economy: transport, industrial, residential, commercial. An impact parameter is developed on the bases of projected energy infrastructure demand and population density. The application is designed for Luxembourg where two
regions are designated (populated and rural) to test the principle of this experiment. A fifteen year (3 × 5) energy expansion scenario is simulated for Luxembourg in this example. This application is applicable to other European cities and regions.
Our approach in the search for an optimal energy/environmental solution employing a coupled meta-model and guided by a convex optimizer. We build upon the recent work in optimal control [ref. Carlson, Zachary et al, 2004]. Recent analysis including optimal spatial development is also presented. Cost and environmental impact (pro jected air pollution on population density with convolution techniques) are presented. A novel spatial distribution pro ject model is used in conjunction with the geo-spatially model. Here, we present a distribution tool that uses the concept of maximum entropy. In this model, we use fundamental distribution-of-state properties that are used to guide urban development projects.
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