By P. De Wilde
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Extra info for Computational Support For The Selection Of Energy Saving Building Components
In most countries other sources like biomass, hydropower and geothermal power are used relatively rarely, since their availability is highly variable. For solar energy a distinction is made between passive and active use. Passive systems exploit solar energy applying simple devices, materials and concepts. Strictly speaking passive systems do not use auxiliary energy; however, small amounts (like electricity needed to drive a ventilator) are often accepted. Passive systems can be subdivided in direct, indirect and isolated systems.
This directory now lists more than 200 tools, ranging from software that is still under development to commercial software. The directory is organized in the following main categories: whole-building analysis, codes and standards, materials, components, equipment and systems, and other applications. A discussion of all these tools is not relevant for this thesis. However, to provide a background on tools that are named throughout the text a subset of the building energy tools that are suited for evaluation the energy performance of whole buildings is presented in Appendix B.
Based on quantification of the performance of all design alternatives a decision must be made to select the design option that has the range of outcomes (and associated probabilities) that are most desired. This involves determination of the values of all design options; a value indicates the attractiveness of each design option in relation to the objectives and constraints. Decision theory is concerned with making rational choices between alternatives by applying (mathematical) methods. Within decision theory a distinction is made between single- and multiple-attribute decision problems, depending on the number of descriptors (attributes) that are needed to specify the consequences of a decision.
Computational Support For The Selection Of Energy Saving Building Components by P. De Wilde