Secondly, eligibility criteria contribute to the cost-effectiveness of capacity mechanisms. By excluding, or derating (see below), “inefficient” resources, these criteria help to minimise costs by preventing unnecessary financial burdens on consumers and for maintaining the overall efficiency of the electricity market.
Thirdly, eligibility criteria play a crucial role in maintaining market integrity. By ensuring that only the needed capacity is rewarded, these criteria prevent undue distortion to the market where all market participants operate on a level playing field.
Derating factors adjust the nominal capacity of different resources to reflect their expected availability to solve the resource adequacy problem identified, and is an important concept in all capacity mechanisms. For example, 1 MW of wind power would not receive the same support as 1 MW of nuclear capacity due to differences in reliability and availability, or in other words, how firm the capacity is considered. These factors ensure that the mechanism accurately represents the true contribution of each resource to system reliability.
However, too strict eligibility criteria would risk excluding relevant providers. On one hand, when determining the eligibility criteria one must strive for technology-neutral and encourage innovation (in other words, taking into account potentially new technologies and/or evolution of existing technologies) and on the other hand making sure that the procured assets actually solve the problem identified. To support this balance, the concept of fixed and dynamic eligibility is introduced:
Fixed eligibility refers to the application of absolute minimum requirements that must be fulfilled in order to participate. This concept is well established in, for example, ancillary service markets, where technical minimum standards must be met as a condition for entry. The eligibility criteria can also be designed to target specific asset types, such as exclusively new, non-fossil assets, within a particular bidding zone or geographic location.
Dynamic eligibility entails that the assets must meet a lower minimum requirement, but the quality of the service impacts the selection process (i.e. which providers are successful in the procurement process). The minimum requirement could for example be new, non-fossil assets. In the next stage, based on the needs assessment, one defines performance standards and associated derating factors. Some examples are:
A locational derating factor could be applied to facture in likely effectiveness of solving the problem. As a simplified example, if grid capacity between area (a) and area (b) is expected to be congested 85% of the time, then a provider located in area (b) would have limited ability to resolve an issue in area (a), and should therefore be assigned a derating factor of, for example, 15%. A reliability derating factor could be applied to reflect that certain technologies contribute less to system adequacy due to their lower reliability.