optimization;
green hydrogen;
energy demand;
planning;
energy storage;
ECONOMIC-GROWTH;
CARBON TAX;
IMPACT;
GAS;
D O I:
10.3390/en16062609
中图分类号:
TE [石油、天然气工业];
TK [能源与动力工程];
学科分类号:
0807 ;
0820 ;
摘要:
This paper presents a mathematical programming approach for the strategic planning of hydrogen production from renewable energies and its use in electric power generation in conventional technologies. The proposed approach aims to determine the optimal selection of the different types of technologies, electrolyzers and storage units (energy and hydrogen). The approach considers the implementation of an optimization methodology to select a representative data set that characterizes the total annual demand. The economic objective aims to determine the minimum cost, which is composed of the capital costs in the acquisition of units, operating costs of such units, costs of production and transmission of energy, as well as the cost associated with the emissions generated, which is related to an environmental tax. A specific case study is presented in the Mexican peninsula and the results show that it is possible to produce hydrogen at a minimum sale price of 4200 $/tonH(2), with a total cost of $5.1687 x 10(6) and 2.5243 x 10(5) tonCO(2eq). In addition, the financial break-even point corresponds to a sale price of 6600 $/tonH(2). The proposed model determines the trade-offs between the cost and the emissions generated.
机构:
South China Univ Technol, Sch Elect Power Engn, Guangzhou 510640, Peoples R China
South China Univ Technol, Guangdong Key Lab Clean Energy Technol, Guangzhou 510640, Peoples R China
Guangdong Power Grid Co Ltd, Guangzhou Power Supply Bur, Guangzhou 510000, Peoples R ChinaSouth China Univ Technol, Sch Elect Power Engn, Guangzhou 510640, Peoples R China
Zeng, Guihua
Liu, Mingbo
论文数: 0引用数: 0
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机构:
South China Univ Technol, Sch Elect Power Engn, Guangzhou 510640, Peoples R China
South China Univ Technol, Guangdong Key Lab Clean Energy Technol, Guangzhou 510640, Peoples R ChinaSouth China Univ Technol, Sch Elect Power Engn, Guangzhou 510640, Peoples R China
Liu, Mingbo
Lei, Zhenxing
论文数: 0引用数: 0
h-index: 0
机构:
South China Univ Technol, Sch Elect Power Engn, Guangzhou 510640, Peoples R China
South China Univ Technol, Guangdong Key Lab Clean Energy Technol, Guangzhou 510640, Peoples R ChinaSouth China Univ Technol, Sch Elect Power Engn, Guangzhou 510640, Peoples R China
Lei, Zhenxing
Zhang, Siyi
论文数: 0引用数: 0
h-index: 0
机构:
South China Univ Technol, Sch Elect Power Engn, Guangzhou 510640, Peoples R China
South China Univ Technol, Guangdong Key Lab Clean Energy Technol, Guangzhou 510640, Peoples R ChinaSouth China Univ Technol, Sch Elect Power Engn, Guangzhou 510640, Peoples R China
Zhang, Siyi
Chen, Zirui
论文数: 0引用数: 0
h-index: 0
机构:
South China Univ Technol, Sch Elect Power Engn, Guangzhou 510640, Peoples R China
South China Univ Technol, Guangdong Key Lab Clean Energy Technol, Guangzhou 510640, Peoples R ChinaSouth China Univ Technol, Sch Elect Power Engn, Guangzhou 510640, Peoples R China
机构:
Yildiz Tech Univ, Fac Mech Engn, TR-34349 Istanbul, Turkiye
Istinye Univ, Fac Engn, Istanbul, TurkiyeOntario Tech Univ, Fac Engn & Appl Sci, Clean Energy Res Lab, Oshawa, ON, Canada
Karayel, G. Kubilay
Javani, Nader
论文数: 0引用数: 0
h-index: 0
机构:
Yildiz Tech Univ, Fac Mech Engn, TR-34349 Istanbul, Turkiye
Yildiz Tech Univ, Clean Energy Technol Inst, Istanbul, TurkiyeOntario Tech Univ, Fac Engn & Appl Sci, Clean Energy Res Lab, Oshawa, ON, Canada
Javani, Nader
Dincer, Ibrahim
论文数: 0引用数: 0
h-index: 0
机构:
Ontario Tech Univ, Fac Engn & Appl Sci, Clean Energy Res Lab, Oshawa, ON, Canada
Yildiz Tech Univ, Fac Mech Engn, TR-34349 Istanbul, TurkiyeOntario Tech Univ, Fac Engn & Appl Sci, Clean Energy Res Lab, Oshawa, ON, Canada
机构:
Technol Innovat Inst, Renewable & Sustainable Energy Res Ctr, Abu Dhabi 9639, U Arab EmiratesTechnol Innovat Inst, Renewable & Sustainable Energy Res Ctr, Abu Dhabi 9639, U Arab Emirates