Water irrigation systems (WISs) are an important factor for agricultural development and food security. However, their energy supply is affected by several problems related to the use of diesel generators, especially in remote areas. This paper describes a new methodology used to design a cost-effective and sustainable solution to provide a water irrigation system with a demand of 40 kWh/day. A combined supply side management (SSM) and load shifting (LS) strategy, which is a component of the demand side management (DSM) concept for the design and optimization of irrigation systems, was implemented. HOMER was used to select the appropriate system based on the technical, economic and environmental criteria. A general comparison between the simulated scenarios (PV/Battery, PV/Battery/Diesel, and Diesel generator) was carried out using the cost of energy (CoE), the total net present cost (TNPC), CO${}_2$ emissions and the renewable energy fraction (REF). The results show that the PV/Battery/Diesel scenario is the most optimal and attractive. This optimal system was also simulated with the load shifting strategy. Compared to the system without LS, the results show that the LS offers a 19.25%, 20% and 10.70% reduction in CoE, TNPC and net CO₂ emissions, respectively, in addition to the significant savings in the electricity bill cost and REF improvement.

水灌溉系统（WIS）是促进农业发展和粮食安全的重要因素。然而，它们的能量供应受到与使用柴油发电机有关的若干问题的影响，特别是在偏远地区。本文介绍了一种新方法，用于设计经济高效且可持续的解决方案，以提供每天40 kWh的水灌溉系统。实施了联合的供给侧管理（SSM）和负荷转移（LS）策略，该策略是用于灌溉系统设计和优化的需求侧管理（DSM）概念的组成部分。HOMER用于根据技术，经济和环境标准选择合适的系统。模拟场景之间的一般比较（PV /电池，PV /电池/柴油，${}_2$排放量和可再生能源比例（REF）。结果表明，PV /电池/柴油方案是最理想和最具吸引力的方案。该最佳系统还通过负载转移策略进行了仿真。与不带LS的系统相比，结果表明LS不仅可以显着节省电费成本和REF改善，而且还能分别降低CoE，TNPC和CO ₂净排放量的19.25％，20％和10.70％。。