Merhaba Misafir

Comparative experimental FWA & FOWA aggregated VLCSPPs' LUR estimation for GIS based VEED


Solar power conversion technologies are photovoltaics (PV), concentrated solar power (CSP), and concentrated photovoltaics (CPV). These technologies need sufficient amount of appropriate land. In super grids and Global Grid, large sized power plants play the key role, so that this study only focuses on very large solar power plants (VLSPP). VLSPPs are defined as the power plants that have the installed power of 1.000 MW (peak in PV) or more in this study. Solar land use requirements (LUR) should be studied, analyzed and estimated for each solar power technology. This study investigates only the LUR of very large concentrated solar power plants (VLCSPPs). Under unsharp conditions, a fuzzy weighted average/weight averaging (fuzzy WA: FWA) aggregated and an ordered fuzzy weighted average/weight averaging (fuzzy OWA: FOWA) aggregated solar LUR models on a worldwide basis are built for LUR prediction on the geospatial information systems (GIS) at the very early engineering design (VEED) phase. These two models are presented in a comparative way. Five experimental criteria (direct normal irradiance: DNI, engineering design year, net installed power, cooling method, storage capacity) are only included in these models. The mean absolute percentage error (MAPE) of land area (hectares) and solar field aperture area (m2) are respectively %331,35 (FWA), %505,14 (FOWA) and %914,86 (FWA), % 1374,45 (FOWA).

Yayınlandığı Kaynak : International Journal of Engineering Technologies IJET
  • Yıl : 2018
  • Cilt : 4
  • ISSN : 2149-0104
  • Sayı : 2
  • eISSN : 2149-5262
  • Sayfa Aralığı : 70-80
  • IO Kayıt No : 82463
  • Yayıncı : İstanbul Gelişim Üniversitesi