# Wind Microgeneration Strategy for Meeting California's Carbon Neutral Grid Goal
## 2 Literature Review
By emphasizing each individual component in an efficiency analysis, the study showed the importance of a near-uniform structure when it comes to grid components. The use of uniform components within a region will be important for grid reliability, especially when trying to balance a demand load within a regional network. Component turbines will need to be either uniform or listed and known so that a forecast can be made for production and estimated downtime for maintenance and failure. The best analogy for this would be the efficiency of a house or building constructed from multiple material types, none of which is identical. If the parts of the system are not, at a minimum, compatible and reliable, then the system itself becomes unpredictable and unreliable. [PERSON] et al. [23] give an example of small-scale wind turbines (SSWT) and their process behind site selection based on a case in Mexico. These are defined in the article as ranging from 5-10 kW in generation capacity and are intended to cover the demand load of residential power usage in Mexico. The authors of this article utilize a Bayesian Network as a means of determining the probability of a successful project site for the SSWT [24]. The variables used in the decision-making model included the sustained wind speeds of a given site, the capacity, class, and power curve of the turbine to be used, and the residential tariff to be assessed in a given city or area [25]. The tariffs considered were based on monthly use and were used to assess the probability of successfully lowering energy costs if the SSNTs were constructed. This approach would need to alter slightly if applied to the California grid, as utility ratepayers are charged for both monthly total consumption and usage during low and high demand periods, commonly referred to as \"off-peak\" and \"on-peak\" periods, respectively. However, this analysis could show a path forward for how to determine the viability of small and micro-scale wind energy projectsin California by using the readily available Meteorological Aerodrome Reports (METARs), National Oceanic and Atmospheric Administration (NOAA) ground/buoy monitoring stations, National Climatic Data Center observations from the satellite constellation of the Joint Polar Satellite System (JPSS), Geostationary Operational Environmental Satellite Program (GOES), and the Polar Operational Environmental Satellite Program (POES). This plethora of current and archived data could be used to carry out a similar Bayesian analysis of the state to determine an ideal site location. Other factors that would need to be included would be proximity to end-users, nearest available infrastructure, compatibility with nearby transmission networks, and a common microsite analysis estimating wind energy yield potential [26]. Some of the issues and solutions to overproduction and curtailment of wind energy are also important. Examples provided were issues relating to transmission congestion, which resulted in curtailments. A solution provided was to use thermal or cold storage as secondary use [27]. This would lead to a unified electric grid and heating and cooling network that minimizes the amount of energy wasted after generation. By using the excess energy generated for secondary uses that serve the local population, the overall efficiency of the project and generation points can be drastically increased. This would be an important consideration when planning a statewide small scale power generation network [28; 29].