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Technology Status - NET Nowak Energie & Technologie AG

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28<br />

Renewables for Power Generation 2003: <strong>Status</strong> and Prospects hopes to assist<br />

decision makers by supplying an accurate and comprehensive overview of<br />

the renewable technology sector. This study assesses the current situation<br />

and future opportunities for the six main “new” renewable energy<br />

technologies that produce electricity. These are:<br />

● small hydropower;<br />

● solar photovoltaics;<br />

● concentrating solar power;<br />

● biopower;<br />

● geothermal power;<br />

● wind power.<br />

The study consists of new analysis on the interaction of technology<br />

development and market experience, and a synthesis of insightful studies<br />

performed by government agencies and private sector organisations. This<br />

publication has consciously excluded other renewable technologies that are<br />

at an earlier stage of development, such as ocean energy, as the current focus<br />

on them is solely in the realm of research and demonstration. It has also<br />

excluded large hydropower, as most IEA governments consider them to be<br />

mature and competitive.<br />

The challenge is to consider the entire technology progression from the<br />

laboratory, to manufacturing, to market use, as well as from the relationships<br />

of these technologies to each other and within the wider energy sector, and<br />

do so, both in an inter-sectorial and cross-technological fashion.<br />

An inter-sectorial view is useful because there are important technologyindustry-market<br />

relationships that affect renewable energy technologies all<br />

along the value chain, while providing opportunities for “technology<br />

learning”. <strong>Technology</strong> learning is the term for the empirical observation that<br />

the cost of an industrially manufactured product decreases by a more or less<br />

constant percentage each time the cumulative volume of the product is<br />

doubled. Expressed as the “experience curve”, technology learning thus<br />

reflects the virtuous cycle with both technology development and market<br />

deployment issues. The experience (or “learning”) curve translates the<br />

complex interactions among technology, industry and market into a<br />

simplified relationship. However, the experience curve only reflects an<br />

empirical relationship between the input and output of a black-box-like<br />

learning system and does not explain the processes going on within the<br />

learning system. But, if correctly applied and interpreted, the experience<br />

INTRODUCTION X1

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