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Chapter

Determination of optimal CO2 allowance prices for stimulation of investments in CCS, RES and other carbon-clean technologies in Kazakhstan

Chapter

Determination of optimal CO2 allowance prices for stimulation of investments in CCS, RES and other carbon-clean technologies in Kazakhstan

DOI link for Determination of optimal CO2 allowance prices for stimulation of investments in CCS, RES and other carbon-clean technologies in Kazakhstan

Determination of optimal CO2 allowance prices for stimulation of investments in CCS, RES and other carbon-clean technologies in Kazakhstan book

Determination of optimal CO2 allowance prices for stimulation of investments in CCS, RES and other carbon-clean technologies in Kazakhstan

DOI link for Determination of optimal CO2 allowance prices for stimulation of investments in CCS, RES and other carbon-clean technologies in Kazakhstan

Determination of optimal CO2 allowance prices for stimulation of investments in CCS, RES and other carbon-clean technologies in Kazakhstan book

ByRustam Otarov, Yerbol Akhmetbekov, Nurkhat Zhakiyev
BookSustainable Energy in Kazakhstan

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Edition 1st Edition
First Published 2017
Imprint Routledge
Pages 11
eBook ISBN 9781315267302

ABSTRACT

Notable decrease of CO2 emissions is an extremely hot topic on the agenda of the world community. Most of the UN countries, as a part of their effort, set policies that stimulate the use of technologies based on renewable energy sources (RES) that also contribute to a reduction of carbon emissions. This chapter proposes a study of the CO2 allowance price and its impact on the penetration of carbon capture and storage (CCS) and RES technologies in Kazakhstan's energy sector. The RES are available at each node n with a maximum nodal capacity of 100 MW. Each node has the corresponding coefficient of RES availability. The study is conducted employing a modified standard supply chain model in a linear formulation, which primarily addresses the following issues: investment in CCS and RES, new coal and gas power plants, time of investment, satisfaction of demand constraints and higher accuracy modelling of network security through a DC load flow approach.

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