Performance based approach for electricity generation in smart grids

Michel Noussan

Applied Energy, 2018, vol. 220, issue C, 241 pages

Abstract: The Power Grid balance requires the organization of multiple supply plants to match the electricity demand of the users’, starting from the most accurate forecasts available and with the need of continuous adjustments based on the actual demand profile. The power dispatching is currently based on a day-ahead wholesale market, which fixes an hourly price based on the offers and bids of producers and buyers. In this paper an alternative approach is proposed, with the integration of performance indicators of the electricity generation plants. Optimization algorithms at the base of Smart Grids operation could support a multi-objective approach that overcomes a simple economic optimum. The aspects that have been considered are the renewable energy share, the primary energy consumption, the global emissions (i.e. CO2) and the local emissions (i.e. NOX, CO, PM, etc.). A precise calculation of these performance indicators is proposed for three real natural gas combined cycles, and the results are compared with the average data for the electricity produced in Italy and supplied to the Power Grid. The strong variability of those indicators highlights the importance of performing detailed analyses with up-to-date actual operation data, as the evolution towards sustainability targets in Smart Grids require an integrated approach.

Keywords: Electricity production; Performance indicators; Energy systems; Data analysis; Primary energy; Emissions (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0306261918304318
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:220:y:2018:i:c:p:231-241

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic

DOI: 10.1016/j.apenergy.2018.03.092

Access Statistics for this article

Applied Energy is currently edited by J. Yan

More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().