Somphol Chiwamongkhonkarn

This research aims to assess the environmental feasibility of a wind power plant by investigating its noise disturbances, shadow flicker, and zones of visual influence. The model is applied as a case study for a 50 MW wind power plant, located in the Nakhon Ratchasima province of northeastern Thailand. The acoustic noise emissions were analyzed using the sound propagation and absorption models under the wind conditions on the site studied. The shadow flicker around each wind turbine generator, in terms of the number of hours per year, was also simulated along with the analysis of the zones of visual influence according to the number of wind turbines that can be seen by an observer from a certain distance. The results show a maximum sound level of 47 dBA, within the allowed limits of the 50 dBA legislation of the Department of Pollution Control of the Royal Thai Government. Similarly, the shadow flicker within 1 km of the wind turbines is 10 hours/year, well below the international standard of 30 hours/year. Results of the zones of visual influence indicate that between 15 and 20 turbines are visible from observation points surrounding the potential wind power plant. The results applied to this case study suggest that the potential wind power plant is well-suited regarding its environmental impacts and should typically not incur negative impacts for the local communities. Studies like these are vital to gaining the trust of the communities living near wind power plants to address their concerns and minimize opposition.

The optimal layout of wind power plants is very important as the arrangement of wind turbine generators (WTGs) profoundly affects the overall energy output of the wind power plant. To address this important issue, this research investigates the best layout for WTGs in wind power plants with different terrain features across three locations in Thailand using the Ant Colony Optimization (ACO) algorithm. The objective functions of maximizing the net annual energy production (AEP) and minimizing the wake losses were used to achieve the optimal wind power plant layout. Using the MERRA-2 database, computational fluid dynamics (CFD) wind flow modeling was performed to create 10x10 km2 microscale wind resource maps of locations characterized by flat, semi-complex, and complex terrains to install wind power plants. The CFD wind flow modeling yielded wind speeds of 5.00 to 5.76, 4.21 to 8.90, and 3.10 to 4.45 m/s for the flat, semi-complex, and complex terrains, respectively, making them feasible for utility-scale wind power plants. WTGs of multiple blade diameters, ranging from 90 to 126 m, with a nominal capacity of 2.5 MW at 100 m above ground-level hub heights, were used in this study. The Gamesa G126-2.5MW WTG with a 126 m blade diameter produces the highest net AEP of 14.3, 76.1, and 38.9 GWh/yr for the three terrains. Hence, this WTG was used to perform an ACO-based optimization to improve the electricity production of the wind power plants. Such studies are important to improve the efficiency of wind power plants, thus extracting the maximum kinetic energy possible from the winds and improving the economic viability of wind power plants. -

This study presents a techno-economic assessment of a 1 MW solar photovoltaic (PV) rooftop system at Thaksin University (Phatthalung Campus) in Thailand. A detailed analysis of the solar PV rooftop system is performed with particular attention to the performance of different PV technologies and the effects of different tilt angles and orientations of the PV panels on the annual energy production, the specific production, and the performance ratio. The economic analysis was performed for four scenarios: (1) self-investment and self-consumption scheme, (2) bankable and self-consumption scheme, (3) bankable and feed-in tariff (FiT) scheme, and (4) energy service company (ESCO) scheme. The results show that the amorphous silicon/micro-crystalline silicon (a-Si/µc-Si) technology shows the lowest annual energy production and performance ratio (PR), while the copper indium disulfide (CIS) technology records the largest annual energy production and PR. The largest annual energy production and specific production were obtained with the PV panels installed at a 10° tilt angle and with the PV modules facing South (S), while the lowest annual energy production and specific production were observed with the PV panels installed at a 45° tilt angle and the PV modules facing North (N). The economic analysis results show that the best scenarios are Scenario 3 (bankable and FiT scheme) and Scenario 1 (self-investment and self-consumption scheme). The findings of this research provide valuable information for regional stakeholders and policymakers regarding investments in solar PV rooftop systems.

This paper presents the wind resource assessment of the southernmost region of Thailand using atmospheric and computational fluid dynamics (CFD) wind flow modeling. The predicted wind data by the Weather Research and Forecasting (WRF) atmospheric modeling, assimilated to a virtual met mast, along with high-resolution topographic and roughness digital data, are then used as the main input for the CFD microscale wind flow modeling and high resolution wind resource mapping at elevations of 80 m, 100 m, 120 m, and 140 m agl. Numerical results are validated using measured wind data. Results show that the potential area where the wind speeds at 120 m agl are above 8.0 m/s is 86 km², corresponding to a technical power potential in the order of 300 MW. The installation of wind power plants in the areas with the best wind resource could generate 690 GWh/year of electricity, thus avoiding greenhouse gas emissions of 1.2 million tonnes CO_2eq/year to the atmosphere. On the other hand, developing power plants with International Electrotechnical Commission (IEC) Class IV wind turbines in areas of lower wind resource, but with easier access, could generate nearly 3000 GWh/yr of energy, with a CO_2eq emissions avoidance of 5 million tonnes CO_2eq on a yearly basis.