Přístupnostní navigace
E-application
Search Search Close
Publication detail
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
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
https://www.sciencedirect.com/science/article/pii/S0360544219315919?via%3Dihub
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" }