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Technoeconomic data adopted for the development of a long-term electricity supply model for the Hashmite Kingdome of Jordan

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journal contribution
posted on 30.11.2020, 15:02 by Osama Saadeh, Zakariya Dalala, Taco Niet, Eunice Pereira Ramos, Mark HowellsMark Howells
Electrical generation in Jordan currently relies on imported fossil fuels. In the past, most imported fossil fuels were subsidised by neighbouring countries through grants and aid. This has led to a regulated market, with subsidised low-cost electrical energy consumers, and the government being the sole buyer and seller of electricity. With the ageing of the national electrical infrastructure, political instability in the region, and lack of funds for direct investment, other options needed to be pursued. Long term Power Purchase Agreements (PPA) were granted to Independent Power Producers (IPP) to encourage investment in capacity and infrastructure. In addition, long-term fuel contracts were signed to secure steady flow of primary fuel sources. Over the past few years, renewable energy penetration has increased rapidly, but without proper planning or taking into consideration long term PPA and fuel contracts. Data in regard to the current infrastructure, renewable energy technology, signed energy commitments and system operation assumptions are described in this article, which may be used for modelling and analysis. The Data were collected from annual reports from the different energy related entities in Jordan.

History

School

  • Social Sciences and Humanities

Department

  • Geography and Environment

Published in

Data in Brief

Volume

30

Publisher

Elsevier BV

Version

VoR (Version of Record)

Rights holder

© The Authors

Publisher statement

This is an Open Access Article. It is published by Elsevier under the Creative Commons Attribution 4.0 International Licence (CC BY 4.0). Full details of this licence are available at: https://creativecommons.org/licenses/by/4.0/

Acceptance date

02/03/2020

Publication date

2020-03-07

Copyright date

2020

ISSN

2352-3409

eISSN

2352-3409

Language

en

Depositor

Prof Mark Howells. Deposit date: 18 November 2020

Article number

105391