OptiBase - Optimization tool for reducing emissions from energy self-sufficient accommodation in international disaster response operations (by implementing photovoltaic generators, wind generators and battery storage systems)
Year: 2025
Type: article
Abstract: This article delineates the optimization tool OptiBase for reducing emissions from energy self-sufficient shelters in international disaster response operations, developed as a component of the POWERBASE research project, employing the Python programming language. The functionality of the system encompasses the configuration and optimization of energy systems within shelters, demonstrating energy self-sufficiency, particularly in the context of international disaster relief operations. The system interface employs a graphical user interface through which users can input pertinent information, such as coordinates, transportation logistics, load profiles, and utilization periods. The tool calculates the CO 2 emissions of the actual system (electrical load coverage through the use of diesel generator units) and determines the optimum power output of the diesel generator for the configured energy system. The PV generator, wind generator, and battery storage system were subsequently integrated into the energy system (new system) and optimized with respect to the reduction of CO 2 emissions. The tool calculates the reduction in CO 2 emissions for the new system relative to the existing system without renewable energy, as well as the optimal outputs of photovoltaic (PV) generators, wind generators, and battery storage systems. The CO 2 emissions resulting from the transportation and operation of energy systems were considered in this analysis.
Source: Open Research Europe
Language: English
Subfield: Energy Engineering and Power Technology
Field: Energy
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $841
Award: G4163424000
OpenAlex ID: W4413244524