| The two billion people produce 80% of all food consumed in the developing world and 1.3 billion lack access to electricity. Agricultural production will have to increase by about 70% worldwide by 2050 and to achieve this about 50% more primary energy has to be made available by 2035. Energy-smart agri-food systems can improve productivity in the food sector, reduce energy poverty in rural areas and contribute to achieving food security and sustainable development. Agriculture can help reduce poverty for 75% of the world's poor, who live in rural areas and work mainly in farming.;The costs associated with irrigation pumping are directly affected by energy prices and have a strong impact on farmer income. Solar-wind (SW) drip irrigation (DI) is a sustainable method to meet these challenges. This dissertation shows with onsite data the low cost of SW pumping technologies correlating the water consumption (evapotranspiration) and the water production (SW pumping). The author designed, installed, and collected operating data from the six SWDI systems in Peru and in the Tohono O'odham Nation in AZ. The author developed, tested, and a simplified model for solar engineers to size SWDI systems. The author developed a business concept to scale up the SWDI technology.;The outcome was a simplified design approach for a DI system powered by low cost SW pumping systems optimized based on the logged on site data. The optimization showed that the SWDI system is an income generating technology and that by increasing the crop production per unit area, it allowed small farmers to pay for the system. The efficient system resulted in increased yields, sometimes three to four fold. The system is a model for smallholder agriculture in developing countries and can increase nutrition and greater incomes for the world's poor. |
