向自由市场过渡的智能供热关税

Ieva Pakere, D. Blumberga
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引用次数: 0

摘要

创新的定价机制应该激励供热供应商和消费者转向更可持续的能源系统,并在智能能源系统中引入低温区域供热系统和部门耦合。因此,也应改变区域供热管理制度,以促进能源部门的变革。区域供热费用取决于许多因素,包括燃料价格、运行参数、税收、投资和其他标准。因此,对卫生部门的关税进行了分析,以寻找激励卫生部门企业提高能源效率和气候中和的解决方案。分析结果基于决策评价方法,选择各种标准,从工程、环境、气候、经济和社会经济五个重要方面进行评价。开发的模糊认知映射模型的核心要素是投资成本、产热成本和一次能源消耗。考虑到设定的边界条件,最有利的智能热费定义方法可能是为卫生保健运营商制定综合能源效率标准的热费基准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smart heat tariffs in transition to free market
Innovative pricing mechanisms should motivate heat suppliers and consumers to move toward more sustainable energy systems and introduce low-temperature district heating systems and sector coupling in smart energy systems. Therefore, district heating regulation regimes should also be changed to stimulate transformations in the energy sector. The district heating tariffs depend on many factors, including fuel prices, operational parameters, taxes, investments, and other criteria. Therefore, an analysis of the DH tariffs has been implemented to find solutions to motivate DH enterprises towards energy efficiency and climate neutrality. The analysis results are based on the decision-making assessment approach by selecting various criteria and evaluating them from five significant aspects: engineering, environmental, climate, economic and socioeconomic. The central elements within the developed fuzzy cognitive mapping model are investment costs, heat production costs, and primary energy consumption. Considering the set boundary conditions, the most beneficial method for smart heat tariff definition could be heat tariff benchmarking with integrated energy efficiency standards for DH operators.
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