Energy challenges of today include increasing energy dependency, growing energy consumption, ensuring security of energy supply, reaching for sustainable development and tackling environmental concerns, most importantly climate change. Bangladesh is one of the low energy consuming countries of the world. Still the national grid can so far cover 49% of the total population. Renewable energy sources offer considerable opportunities to respond to growing energy crisis and have multiple advantages over conventional energy sources. In Bangladesh most of the electricity generation is by nonrenewable energy sources like furnace oil, natural gas etc. But the reserves for these non-renewable sources are limited and will be exhausted soon. Therefore, searching alternative sources is the only option to solve the problem of electricity shortage. In order to meet sustained load demands during varying natural conditions, different renewable energy sources need to be integrated with each other like solar, wind, ocean, geothermal, biomass, wave energy, fuel cell technologies and hydro. Biogas technology combined with solar technology can have a huge positive impact on the present power sector of Bangladesh. This paper will discuss on design of a cost effective biogas-solar hybrid power generation system and also feasibility analysis of that system considering different types of sensitivity and environmental aspects.
Solar radiation at Patenga, Chittagong is predicted by using record of bright sunshine hours of that place. Monthly average solar radiation is calculated from Angstrom-Prescott equation. The coefficients of that equation is found as a = 0.1688 and b= 0.5869. Patenga is a coastal area of Bangladesh and has promising potential of hybrid solar-wind based electricity. Solar radiation data is required for planning and designing photovoltaic power plant. But Bangladesh Meteorological Department has no record of radiation data of that place. So, attempt has been made to estimate solar radiation from other available meteorological parameters. Accuracy of estimated radiation is determined by comparing with data obtained from NASA Surface Meteorology and Solar Energy (SSE). Also estimated radiation is compared with five widely accepted models used for calculating solar radiation. These models were developed considering wide range of geographical area so can be applicable for present location. Present model provide better error correction scheme compared to other considered models by generating more accurate coefficient for that place.
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