A review of the work completed to date indicates that additional moreВ В» activities are necessary to provide Sri Lanka with the tools necessary to identify the best wind energy development opportunities. HOMER's optimization and sensitivity analysis algorithms allow you to evaluate the economic and technical feasibility of a large number of technology options and to account for variations in technology costs and energy. HOMER is a computer model that simplifies the task of designing distributed generation (DG) systems - both on and off-grid. In addition, the Ceylon Electricity Board (CEB) has conducted a wind resource assessment of several areas of the country and has successfully completed and is currently operating a 3-MW pilot wind project. HOMER Energy LLC provides software, services, and community tools to analyze and optimize distributed power systems and systems that incorporate. Work to date includes completion of the NREL wind atlas for Sri Lanka. Agency for International Development (USAID) in an on-going process to quantify the Sri Lanka wind energy potential and foster wind energy development. We conclude that the modeling tools should evolve and refine their optimization strategies to capture the total benefits of using demand response to improve energy systems performance.The United States Department of Energy (DOE), through the National Renewable Energy Laboratory (NREL), has been working in partnership with the U.S. On the other hand, the self-built model that is more flexible on the optimization approach is the more close to the actual operation and presents the best savings when using demand response strategies, albeit representing only a 0.3% decrease in the operation costs. The comparison results indicate that HOMER and EnergyPLAN still assume that flexible loads are a second priority load that are met in off-peak hours or in the presence of excess electricity from renewable sources, not taking directly into account the economic impact of such decision.

Three different scenarios were simulated in HOMER, EnergyPLAN and an economic dispatch self-built model in Matlab, using as case study the Corvo Island, Portugal. This study compares how different modeling tools consider fixed and flexible loads in the dispatch optimization, analyzing their different strategies. HOMER users can view graphs that compare dispatch algorithms.

To study these types of implications, modeling tools have been introducing the possibility to include flexible loads on the optimization process, although some use very simplified methodologies to do it. The programs model the contributions of different distributed energy resources over a project lifetime, so users can test the outcomes of their dispatch strategy and how it impacts system design, emissions, ROI, and other metrics. From the supply point of view, that flexibility might bring significant improvements to the generation dispatch, especially when in the presence of renewable resources from the demand point of view, that flexibility could allow customers to benefit from reducing their energy bills. The potential to reschedule part of the electricity demand in energy systems is seen as a significant opportunity to improve the efficiency of the systems, especially on remote and isolated systems.

Homer energy software working models