Publication detail

Probability-Power Pinch Analysis Targeting Approach for Diesel/Biodiesel Plant Integration into Hybrid Power Systems

Rozali, N.E.M., Ho, W.S., Wan Alwi, S.R., Manan, Z.A., Klemeš, J.J., Cheong, J.S.

Original Title

Probability-Power Pinch Analysis Targeting Approach for Diesel/Biodiesel Plant Integration into Hybrid Power Systems

Type

journal article in Web of Science

Language

English

Original Abstract

The hybrid power system (HPS) that integrates diesel/biodiesel plant with renewable energy (RE) technologies has become increasingly popular to alleviate greenhouse gases emissions issue of the sole diesel/biodiesel power system. Integrated diesel-RE power system offers cleaner power supply while minimising cost of diesel fuel and diesel system maintenance. The use of Power Pinch Analysis (PoPA) method for the integration of diesel plants and RE systems into HPS with the objective to minimise fuel requirement and operational time of diesel generator has been presented. This work aims to achieve the same objective via probability theory utilisation, to simplify the PoPA procedure involving the matching of various routes for power flows. The extended technique called the Probability-Power Pinch Analysis (P-PoPA) can give accurate results as those established from the PoPA method within a shorter analysis time because it replaces the tedious manual matching step with correction factors. All probable routes of power from RE and diesel generators to demands are considered in computing the correction factors, in order to target the minimum diesel power in the integrated system. The result of a Case Study demonstrates that 19% saving in diesel fuel consumption can be realised if the present diesel station is supported with renewable solar power in an HPS. The result of the P-PoPA method is accurate with a very minor deviation to that from the conventional PoPA technique.

Keywords

Power pinch analysis (PoPA); Hybrid power systems (HPS); Probabilistic; Renewable energy (RE); Diesel power; OPTIMAL-DESIGN; RURAL ELECTRIFICATION; PERFORMANCE ANALYSIS; ENERGY SYSTEM; DIESEL; OPTIMIZATION; CITY

Authors

Rozali, N.E.M., Ho, W.S., Wan Alwi, S.R., Manan, Z.A., Klemeš, J.J., Cheong, J.S.

Released

15. 11. 2019

Publisher

Elsevier Ltd

ISBN

0360-5442

Periodical

Energy

Number

187

State

United Kingdom of Great Britain and Northern Ireland

Pages from

115913

Pages to

115924

Pages count

10

URL

BibTex

@article{BUT162628,
  author="Jiří {Klemeš}",
  title="Probability-Power Pinch Analysis Targeting Approach for Diesel/Biodiesel Plant Integration into Hybrid Power Systems",
  journal="Energy",
  year="2019",
  number="187",
  pages="115913--115924",
  doi="10.1016/j.energy.2019.115913",
  issn="0360-5442",
  url="https://www.sciencedirect.com/science/article/pii/S0360544219315919?via%3Dihub"
}