Analysis of the local energy potential connection with power plants based on archimedes turbine 10 kW

Research on the availability of water potential for the development of power plants with various scales and types of power plants has been done. Since most existing water sources have small discharges and low heads, this study aimed at designing a micro-hydropower center as one of the ways the electrical energy crisis could be avoided, with one of the renewable energy potentials, namely the potential energy of water in Micro Hydro Power Plant. Further studies were related to water resources to Micro Hydro Power Plants (MHPP) construction, especially Archimedes screw turbines guide parameters that corresponded to flow velocity, channel cross-section, and flow volume. It aimed to connect the local energy potential to the output power of the Archimedes screw turbine. The methods used for this study were 1. Observation 2. Data collection, and 3. Data Analysis. The study was carried out using an observation method that adopted field data collection techniques assisted by measuring equipment to collect data coverage that refers to related parameters. The power available on the channel resulted was 946 kW, and the power generated in the turbine was 5.9 kW

Day-ahead optimal battery operation in islanded hybrid energy systems and its impact on greenhouse gas emissions

This paper proposes a management strategy for the daily operation of an isolated hybrid energy system (HES) using heuristic techniques. Incorporation of heuristic techniques to the optimal scheduling in day-head basis allows us to consider the complex characteristics of a specific battery energy storage system (BESS) and the associated electronic converter efficiency. The proposed approach can determine the discharging time to perform the load peak-shaving in an appropriate manner. A recently proposed version of binary particle swarm optimization (BPSO), which incorporates a time-varying mirrored S-shaped (TVMS) transfer function, is proposed for day-ahead scheduling determination. Day-ahead operation and greenhouse gas (GHG) emissions are studied through different operating conditions. The complexity of the optimization problem depends on the available wind resource and its relationship with load profile. In this regard, TVMS-BPSO has important capabilities for global exploration and local exploitation, which makes it a powerful technique able to provide a high-quality solution comparable to that obtained from a genetic algorithm