RTUEE / EC / EEEYr 2019 · Sem 72019

Q5Non-Conventional Energy Sources

Question

16 marks

3. (a) What are the conditions and criteria for selection of site for wind farm and the type of wind machine. [8]

(b) Explain geothermal energy and geothermal preheat hybrid power plant. [8]

Answer

(a) Site and Wind Machine Selection Criteria for Wind Farms

Selection of a site for a wind farm requires evaluation of several critical conditions: the site must have a high average wind speed and favorable wind speed distribution (assessed through at least one year, and ideally several years, of on-site anemometer measurement, since wind resource can vary considerably year to year), low turbulence intensity (achieved by avoiding proximity to buildings, trees, or complex terrain features that would disturb smooth airflow and increase turbine fatigue loading), suitable terrain (ridgelines, coastal areas, and open plains generally offer better, more consistent wind resource than sheltered valleys), adequate land availability and appropriate spacing between turbines (to minimize wake-interference losses between adjacent turbines within the wind farm), proximity to grid transmission infrastructure (to minimize transmission cost and losses in delivering the generated power to load centers), acceptable environmental and social impact (bird/bat migration routes, noise impact on nearby residents, visual impact considerations), and suitable access for construction and ongoing maintenance (roads capable of transporting large turbine components and cranes for installation and servicing).

The type of wind machine (turbine) selected depends on the specific site's average wind speed regime and application: high-wind-speed sites favor larger-diameter, higher-rated-capacity horizontal-axis turbines optimized for maximum energy capture, while turbulent or lower-wind-speed sites may favor turbines with a lower rated wind speed and correspondingly larger rotor-to-generator-capacity ratio (allowing the turbine to reach rated output at a lower wind speed, maximizing energy capture from the more frequently occurring lower wind speeds at such a site) - additionally, site-specific extreme wind conditions (cyclone/typhoon-prone coastal regions, for instance) require turbines certified for a correspondingly higher survival wind speed class, and offshore sites require turbines and foundations specifically engineered for marine environmental conditions (corrosion resistance, wave loading) not encountered onshore.

(b) Geothermal Energy and Geothermal Preheat Hybrid Power Plant

Geothermal energy is thermal energy derived from the Earth's internal heat, originating from the residual heat of planetary formation and the ongoing radioactive decay of elements within the Earth's core and mantle, which manifests at accessible depths as elevated underground temperatures, hot springs, geysers, and, in geologically active regions, exploitable high-temperature reservoirs suitable for direct electricity generation via steam turbines (as discussed in the dry-steam and binary-cycle plant descriptions elsewhere in this examination).

A geothermal preheat hybrid power plant combines a geothermal energy source with a conventional fossil-fuel-fired (or, in some designs, solar-thermal) power plant, using the geothermal fluid specifically to preheat the feedwater before it enters the conventional plant's fuel-fired boiler, rather than using the geothermal resource to generate power entirely on its own - this hybrid arrangement is particularly valuable for geothermal resources whose temperature is too low to efficiently drive a standalone geothermal power cycle (whether direct-steam or binary), since even a moderate-temperature geothermal resource can still usefully reduce the amount of fuel needed to raise feedwater to boiler operating temperature in a conventional plant, thereby reducing the hybrid plant's overall fuel consumption and emissions per unit of electricity generated compared to an equivalent conventional plant without geothermal preheating, effectively extending the range of geothermal resource temperatures that can be economically exploited beyond what standalone geothermal generation alone would allow.

Beyond the basic site-selection criteria listed above (wind speed, terrain, turbulence, grid access, and environmental/social impact), wind farm developers also conduct detailed wind resource assessment using computational wind-flow modeling software combined with on-site meteorological mast measurements at multiple heights, to characterize how wind speed and direction vary not only in time but also spatially across the proposed site, since even within a single wind farm boundary, local terrain features (small hills, ridges, or valleys) can cause significant wind speed variation between individual proposed turbine positions, directly affecting the optimal turbine layout and expected energy yield of the completed wind farm.

The specific type of wind machine selected for a given site also depends on the site's wind shear characteristics (how wind speed increases with height above ground) and turbulence intensity profile, since taller towers generally access higher, more consistent wind speeds but at increased structural and installation cost, while turbines specifically rated for higher turbulence intensity classes (a standard turbine certification parameter) are required for sites with more complex terrain or closer spacing to upwind obstacles, illustrating that wind machine selection is a genuinely site-specific engineering optimization rather than a one-size-fits-all choice, requiring careful matching of turbine class, rotor diameter, rated power, and tower height to the specific wind resource and terrain characteristics measured at each candidate site.

Geothermal preheat hybrid power plants, as also discussed in relation to this question's OR alternative and elsewhere in this examination, illustrate a broader principle in non-conventional energy deployment: rather than requiring a renewable resource to entirely displace conventional generation on its own, hybrid configurations that combine a renewable resource (geothermal, solar, or biomass) with conventional fuel-fired generation can economically exploit renewable resources whose quality or scale would be insufficient for standalone renewable power generation, extending the practical range of sites and resource qualities at which non-conventional energy can make a meaningful contribution to reducing overall fuel consumption and emissions, even where full renewable displacement of conventional generation is not yet economically achievable.

In summary, careful site and turbine-type selection for a wind farm, combined with appropriate exploitation of hybrid geothermal preheat opportunities where standalone geothermal generation is not economically viable, together illustrate the broader theme that successful non-conventional energy deployment requires matching the specific technology and configuration choice carefully to the specific resource characteristics and constraints present at each individual site.

It is also worth noting that wind resource assessment methodology itself has advanced considerably in recent years, with remote-sensing technologies such as LIDAR (light detection and ranging) increasingly supplementing or even replacing traditional meteorological mast measurements, allowing wind speed profiles to be measured at multiple heights and across a wider area without the cost and time required to erect physical measurement towers, improving both the speed and spatial resolution of pre-construction wind resource assessment for new wind farm developments.

This growing sophistication in wind resource assessment methodology parallels similar advances across other non-conventional energy technologies discussed throughout this examination, reflecting the broader maturation of renewable energy engineering practice from early, relatively simple resource estimation techniques toward increasingly precise, data-rich site characterization methods that reduce project development risk and improve the accuracy of pre-construction energy yield estimates.

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