Clean Power Dispatching of Coal-Fired Power Generation in China Based on the Production Cleanliness Evaluation Method

Tao Li, Yimiao Song and Jing Shen
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Tao Li: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Yimiao Song: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Jing Shen: School of Economics and Management, North China Electric Power University, Beijing 102206, China

Sustainability, 2019, vol. 11, issue 23, 1-19

Abstract: China’s achievements in climate change and clean energy have been recognized by the international community. Although China has achieved successes in the field of clean energy, especially clean power dispatch, power dispatch is still one-sided and incomplete when considering environmental aspects. This paper presents a comprehensive production cleanliness evaluation model to assign a comprehensive environmental value as a reference for clean power dispatch. The model considers all the pollutants currently regulated in China’s coal-fired power plants, carbon emissions, and sustainability as three basic environmental constraints. Then, emergy analysis is used to unify the input/output materials with different units of measurement, and the emergy-based environmental value added (EEVA) value is constructed. As an integrated environmental value, the EEVA can provide an environmental reference for clean power dispatch. Finally, we selected a representative coal-fired power plant in China as a case study. By applying the above model, the dispatching sequence for four generating units was arranged from the perspective of cleanliness.

Keywords: coal-fired power generation; comprehensive production cleanliness evaluation model; emergy analysis; environmental constraints; sustainability (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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