کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8076964 | 1521473 | 2014 | 14 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A heuristic method to design autonomous village electrification projects with renewable energies
ترجمه فارسی عنوان
یک روش اکتشافی برای طراحی پروژه های اتخاذ تصفیه روستای روستا با انرژی های تجدید پذیر
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی انرژی
انرژی (عمومی)
چکیده انگلیسی
Systems relying on renewable energies demonstrated to be a reliable and sustainable option to electrify isolated communities autonomously. Hybrid systems that combine different energy resources and distribution microgrids are the most efficient design configurations. The design of these systems requires the use of decision support tools, while projects' promoters generally dispose of low design resources. This study presents a heuristic method to design off-grid electrification projects based on wind and solar energies considering micro-scale resource variations and a combination of independent generation points and microgrids. The method considers generation far from users and a pre-selection process is presented in order to screen the initial pool of potentially infinite generation points. Different algorithm versions are evaluated and performances are compared with existing tools: VIPOR, known software for microgrids design, and a recently developed mixed integer linear programming (MILP) model. The proposed heuristic performs better than VIPOR with mean improvements of around 6% and, for communities of more than 40 users, considerably enhances solutions obtained by the MILP model with a much lower computational time (1Â min against 1Â h). The method is a complete and simple tool that can efficiently support the design of stand-alone community electrification projects with renewable energies.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Energy - Volume 73, 14 August 2014, Pages 96-109
Journal: Energy - Volume 73, 14 August 2014, Pages 96-109
نویسندگان
Matteo Ranaboldo, Alberto GarcÃa-Villoria, Laia Ferrer-MartÃ, Rafael Pastor Moreno,