The effect of demand response on CO2 Emissions in the Iberian electricity market – Combining economic and environmental perspectives

IF 5.8 Q2 ENERGY & FUELS Energy and climate change Pub Date : 2022-12-15 DOI:10.1016/j.egycc.2022.100093
Joana Sousa , Isabel Soares
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引用次数: 3

Abstract

The energy sector is the largest contributor for CO2 emissions and therefore energy use is a key issue for climate change and sustainable development. The acceleration towards decarbonization of electricity supply through renewable technologies development is critical for reducing CO2 emissions. During peak-hours electricity consumption increase and peak units are needed to balance the demand and supply. Despite the technology updates done in many peak units, the most efficient fossil plants are not emission free. An approach to combine economic and environmental benefits through DR implementation was developed and applied to the Iberian Electricity Market data (MIBEL). It was developed a methodology that reduces emissions and replaces peak units with high prices by production with lower prices. The results indicate that generation portfolio and climatic conditions have a large impact on the offset emissions levels at each moment. At night polluting technologies have a greater share in the supply mix. Through DR implementation is possible to save emissions, reducing the need for peaking plants and simultaneously achieve an overall price decrease at peak hours, without compromising users’ comfort.

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需求反应对伊比利亚电力市场二氧化碳排放的影响——结合经济和环境视角
能源部门是二氧化碳排放的最大贡献者,因此能源使用是气候变化和可持续发展的关键问题。通过开发可再生技术加速实现电力供应的脱碳,对减少二氧化碳排放至关重要。在用电高峰时段,用电量增加,需要调峰机组来平衡供需。尽管许多高峰发电机组进行了技术更新,但效率最高的化石电厂并非零排放。开发了一种通过实施DR将经济效益和环境效益结合起来的方法,并将其应用于伊比利亚电力市场数据(MIBEL)。它开发了一种方法,可以减少排放,并以较低的价格生产取代高价格的峰值单位。结果表明,发电组合和气候条件对各时刻的抵消排放水平有较大影响。在夜间,污染技术在供应结构中占有更大的份额。通过DR的实施,可以减少排放,减少对调峰电厂的需求,同时在高峰时段实现总体价格下降,而不会影响用户的舒适度。
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来源期刊
Energy and climate change
Energy and climate change Global and Planetary Change, Renewable Energy, Sustainability and the Environment, Management, Monitoring, Policy and Law
CiteScore
7.90
自引率
0.00%
发文量
0
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