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Worldwide geographical mapping and optimization of stand-alone and grid-connected hybrid renewable system techno-economic performance across Koeppen-Geiger climates

机译:在Koeppen-Geier气候中,全球地理映射和独立和网格连接混合再生系统技术经济表现的优化

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In the last years, a significant interest in research in stand-alone (SA) and grid-connected (GC) photovoltaic (PV)-wind hybrid renewable energy systems (HRES) is observed for their complementary in the satisfaction of the electrical energy demand in many sectors. However, direct comparisons between the techno-economic performance of two system modes under the same operating conditions are rarely carried out. Additionally, most of the researches are limited to specific weather conditions.This work aims to bridge the lack of this type of investigations providing a worldwide techno-economic mapping and optimization of SA and GC PV-wind HRES to supply the electrical demand of an office building district. For this purpose, energy and economic optimization problems were formulated to find the optimal SA and GC systems worldwide among 343 HRES system power configurations located in 48 different localities, uniformly divided in the sub-group of the Koppen classification. The energy reliability and economic profitability of optimal systems were geographically mapped worldwide.In general, the energy or economic optimizations of SA HRES do not lead to highly profitable systems; instead, feed-in-tariff to sell the energy in excess assures viable GC HRES in many localities. However, economically optimal SA and GC HRES, respectively, do not everywhere comply with the threshold value of 70% of the satisfied energy required by the load and are characterized by a high level of energy exchanged with the grid.The study highlighted that the most suitable climate conditions to install a SA HRES are: (i) Toamasina (Madagascar) from an energy point of view, with 76% of load satisfied and 76% of the energy generated utilized[GRAPHICS]to supply the load; (ii) Cambridge Bay (Canada) from an economic point of view, with 11.1% of the capital cost recovered each year; instead, the most suitable climate conditions to install a GC HRES are: (iii) New Delhi (India) from an energy point of view, with 48% of energy exchanged with the grid per each kWh required by the load; (iv) Lihue (Hawaii, United States) from an economic point of view, with 24.3% of the capital cost recovered each year.
机译:在过去几年中,在对电力需求满意的互补性中,观察到在独立(SA)和电网连接(GC)光伏(GC)光伏(PV)光伏(PV)光伏(PV)光伏(GC)光伏(PV)的重大兴趣在许多部门。然而,很少在相同的操作条件下进行两种系统模式的技术经济性能之间的直接比较。此外,大多数研究都仅限于特定的天气条件。这项工作旨在弥合缺乏这种类型的调查,提供全球技术经济测绘和优化SA和GC PV风力HRE,以提供办公室的电气需求建筑区。为此,配制了能源和经济优化问题,以找到全球最佳SA和GC系统,位于48个不同的地方,均匀分为Koppen分类的子组。最佳系统的能量可靠性和经济盈利能力在全球范围内进行地理位置映射。一般来说,SA HRES的能源或经济优化不会导致高利润系统;相反,出售能源的饲额过度以许多地方确保可行的GC HRES。然而,经济上最佳的SA和GC HRES分别不会符合负载所需的满足能量的70%的阈值,并且具有与网格交换的高能量的特征。该研究强调了最多安装SA HRES的合适气候条件是:(i)来自能量观点的Toamasina(Madagascar),76%的负荷满足和76%的能量产生[图形]供应负载; (ii)剑桥湾(加拿大)从经济的角度来看,每年的资本成本的11.1%;相反,安装GC HRES的最合适的气候条件是:(iii)新德里(印度)从能量的角度来看,48%的能量与负载所需的每千瓦时交换电网; (iv)河北(夏威夷,美国)从经济的角度来看,每年都有24.3%的资本成本。

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