Department of Electrical Engineering, Tshwane University of Technology, Pretoria, South Africa.
Department of Electrical and Electronics Engineering, University of Lagos, Lagos, Nigeria.
Environ Sci Pollut Res Int. 2022 Jan;29(3):4291-4310. doi: 10.1007/s11356-021-15151-3. Epub 2021 Aug 17.
This paper analyzes the adoption of an off-grid hybrid renewable energy system (HRES) for a high-rise building owned by a public institution in Nigeria. The analysis is based on the comparison between the use of a single criterion and multiple criteria in the selection of the most feasible energy system. The proposed HRES comprises of a wind turbine, diesel generator, photovoltaic (PV), and battery storage system. Hybrid optimization of multiple energy resources (HOMER) software was used to design the HRES for a case study (based on a single criterion-total net present cost), while Evaluation Based on Distance from Average Solution (EDAS) method was used to evaluate the effect of choosing an optimal system based on multiple criteria. Based on the simulations conducted with HOMER, eight feasible HRES (ES1-ES8) were identified. When the feasible HRES were ranked based on total (NPC), the optimal configuration comprises 70 kW PV modules, 20 kW diesel generating set, 40 kW converter, and 70, 3000 Ah batteries. The results obtained from the optimization process were subjected to a multi-criteria analysis based on sustainability principles. The ranking of the first two systems (ES1 and ES2) returned by single criterion (total NPC) remained the same, while changes were observed in the ranks of the remaining systems (ES3-ES8). This modular feasibility study shows that it would be economical to power the entire university using HRES. It is expected that this study would help the university communities and other stakeholders make informed decision during the planning stage of similar projects.
本文分析了在尼日利亚的一所公共机构拥有的高层建筑中采用离网混合可再生能源系统(HRES)的情况。该分析基于在选择最可行的能源系统时使用单一标准和多个标准的比较。所提出的 HRES 由风力涡轮机、柴油发电机、光伏(PV)和电池储能系统组成。混合优化多能源资源(HOMER)软件用于设计基于案例研究的 HRES(基于单一标准-总净现值成本),而基于平均解距离的评估(EDAS)方法用于评估基于多个标准选择最佳系统的效果。根据 HOMER 进行的模拟,确定了八个可行的 HRES(ES1-ES8)。当根据总(NPC)对可行的 HRES 进行排名时,最佳配置包括 70kW PV 模块、20kW 柴油发电机组、40kW 变流器以及 70、3000Ah 电池。优化过程中获得的结果根据可持续性原则进行了多标准分析。单一标准(总 NPC)返回的前两个系统(ES1 和 ES2)的排名保持不变,而其余系统(ES3-ES8)的排名发生了变化。这种模块化可行性研究表明,使用 HRES 为整个大学供电将具有经济性。预计这项研究将有助于大学社区和其他利益相关者在类似项目的规划阶段做出明智的决策。