Development of technologies for using carbon dioxide emissions by producing methanol as a prerequisite for the transformation of energy

Pilipenko, A. V.

doi:10.1109/ent52731.2021.00032

Cited by 1 publication

(1 citation statement)

References 15 publications

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“…As reported in [3] used comprehensive energy use in rural areas as the research object, and constructed a model of integrated energy system for biomass biogas, and the research structure showed that this system can improve the economy and efficiency of energy use. As reported in [4] proposed a large-scale process of converting CO2 into fuel (methanol) with the possibility of generating electricity may turn out to be less costly and more efficient. As reported in [5] suggested Carbon trading is a market-based mechanism for controlling carbon emissions by providing economic incentives to reduce emissions.…”

Section: Introductionmentioning

confidence: 99%

Optimized scheduling of virtual plants with bio gas and electrohydric alcohol based on stepped carbon transactions

Lu,

Liu,

Peng

et al. 2024

E3S Web Conf.

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In order to reduce carbon emissions and promote clean energy development and utilization, a virtual plant optimization scheduling strategy for bio gas coupled to methanol synthesis units based on a stepped carbon transaction mechanism is proposed. This strategy is based on the transportation cost of hydrogen energy storage and the reality that methanol is widely used in the industry, to construct a second-order variable pressure adsorptive bio gas and electro alcohols linked production model, to extract high purity natural gas and CO2, and to couple the methanol synthesis unit with the bio gas equipment, while introducing a stepped carbon trading mechanism to realize CO2 recycling and wind with the lowest running cost in a virtual power plant Efficient dissipation of photogenerated electrical energy. Finally, by setting up different scenarios and conducting computational validation, the analytical results confirm that the proposed model strategy can meet the demands of low carbon and economy in virtual power plants.

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Section: Introductionmentioning

confidence: 99%