Research on Technology Selection Decision of Energy-saving Renovation of Public Buildings Driven by Carbon Trading
Aiming at the decision of energy-saving renovation scheme of public buildings, based on the comprehensive income of energy-saving and carbon trading, this paper establishes the energy-saving, carbon reduction and economic benefit models of six technologies, such as: enclosure structure ( trading, th...
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Veröffentlicht in: | E3S web of conferences 2024-01, Vol.598, p.02004 |
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Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Aiming at the decision of energy-saving renovation scheme of public buildings, based on the comprehensive income of energy-saving and carbon trading, this paper establishes the energy-saving, carbon reduction and economic benefit models of six technologies, such as: enclosure structure ( trading, this paper established the energy-saving, carbon reduction and economic benefit models of six technologies, such as: enclosure structure ( wall and form) renovation, lighting renovation, air conditioning optimization, air-conditioning optimization, energy-saving and carbon trading. wall and form) renovation, lighting renovation, air conditioning optimization, roof PV and boiler power replacement. The decision-making method of transformation scheme under the fluctuation of energy-saving and carbon trading is as follows The decision-making method of transformation scheme under the fluctuation of electricity price and carbon trading price is constructed with the help of multiple regression algorithm. Breaking through the traditional experience empowerment evaluation model, the optimal initial investment amount and the weighting and priority of various technology selection decisions are deduced. Breaking through the traditional experience empowerment evaluation model, the optimal initial investment amount and the weighting and priority of various technology selection decisions are deduced. Finally, the effectiveness of the method is verified by combining engineering cases, aiming to provide reference for owners to Finally, the effectiveness of the method is verified by combining engineering cases, aiming to provide reference for owners to flexibly respond to the energy and carbon trading market and precise energy saving. |
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ISSN: | 2267-1242 |
DOI: | 10.1051/e3sconf/202459802004 |