A two-stage multi-attribute analysis method for city-integrated hybrid mini-grid design

M. R. Elkadeem*, Kotb M. Kotb, Zia Ullah, Eman G. Atiya, András Dán, Shaorong Wang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

50 Scopus citations

Abstract

This paper proposes a two-stage multi-attribute analysis method in conceptualizing the feasible electrification strategy with optimal capacities for a mid-rise building situated in El-Qsier urban city, Egypt. The proposed model measures the implementation practicability of hybrid mini-grid against stand-alone diesel and the utility grid extension systems. The model takes into consideration, simultaneously, a total of 12 attributes covering technical, economic, environmental, and socio-political sustainability aspects. First, an accurate Energy-Enviro-Economic (3E) optimization analysis is performed to determine the set of feasible configurations using HOMER Pro software. Second, a Multi-Attribute Decision Making (MADM) model is established based on AHP, TOPSIS, VIKOR, CODAS, WASPAS methods to identify the unique best alternative. The results of the 3E optimization and decision making analyses confirm the non-viability of the reference site for grid extension against other off-grid systems. Also, the 100 % hybrid renewable mini-grid system is nominated as the most sustainable design, and it yielded optimal capacities of 196 kW, 72 kW, 587 kW h, and 75 kW for photovoltaic, wind turbine, converter, and battery. The system has total life-cycle and energy costs of 751,597$ and 0.2374$/kWh, respectively, with a zero-emission value and maximum social benefits equals 0.6089 jobs/year. Meanwhile, the sensitivity analysis elucidates that the load growth and battery cost have a high impact on investment decisions rather than solar irradiance and wind speed.

Original languageEnglish
Article number102603
JournalSustainable Cities and Society
Volume65
DOIs
StatePublished - Feb 2021
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2020 Elsevier Ltd

Keywords

  • Energy-enviro-economic optimization
  • Grid extension
  • HOMER Pro®software
  • Hybrid mini-grid energy system
  • Multi-attribute decision making analysis
  • Sensitivity analysis

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Civil and Structural Engineering
  • Renewable Energy, Sustainability and the Environment
  • Transportation

Fingerprint

Dive into the research topics of 'A two-stage multi-attribute analysis method for city-integrated hybrid mini-grid design'. Together they form a unique fingerprint.

Cite this