Optimization and feasibility analysis of waste heat recovery procedures in copper plant based on the collaborative analysis of T-Q-C diagram

IF 9 1区 工程技术 Q1 ENERGY & FUELS
Chunlin Wang , Minghui Ma , Yanhe Li , Jiewen Deng , Hao Fang
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引用次数: 0

Abstract

This paper addresses the critical challenge of reducing energy consumption and CO2 emissions in China's space heating sector by exploring industrial waste heat recovery in a copper smelter in Chifeng City. Traditional heating systems rely heavily on fossil fuels, contributing to 4 % of national energy consumption. The research proposes a novel T-Q-C diagram model, integrating temperature, heat, and carbon emission indices, to optimize waste heat utilization. Three innovative schemes are compared with the existing process: Scheme B (absorption heat pump-based full recovery), Scheme C (terminal large-temperature-difference recovery), and Scheme D (integrated recovery). The waste heat potential (369 MW) of copper plant is analyzed, with current recovery at 212 MW (57.46 % efficiency) and CO2 emissions of 60.6 tons/MW·a. Scheme B achieves full recovery (369 MW) but lowers supply water temperature (53.4 °C) and reduces emissions to 49.2 tons/MW·a. Scheme C increases supply water temperature (69.9 °C) but recovers 93 % waste heat (344 MW) with emissions of 50.2 tons/MW·a. Scheme D combines the advantages of B and C, achieving full recovery (369 MW), higher supply water temperature (73.5 °C), and the lowest emissions (49.2 tons/MW·a). Economic analysis reveals Scheme D has the highest initial cost but optimal performance in heat recovery, temperature, and CO2 emissions. The T-Q-C model proves effective in balancing technical, economic, and environmental factors, highlighting the potential of integrated technologies to advance sustainable urban heating under China's carbon neutrality goals.
基于T-Q-C图协同分析的铜厂余热回收流程优化及可行性分析
本文通过探索赤峰市一家铜冶炼厂的工业废热回收,解决了中国空间供暖行业降低能耗和二氧化碳排放的关键挑战。传统供暖系统严重依赖化石燃料,占全国能源消耗的4%。研究提出了一种新的T-Q-C图模型,结合温度、热量和碳排放指标,优化余热利用。对比现有工艺方案B(吸收式热泵全回收)、方案C(终端大温差回收)、方案D(综合回收)三种创新方案。分析了铜电厂的余热潜力(369 MW),当前回收率为212 MW(效率为57.46%),CO2排放量为60.6吨/MW·a。方案B实现了完全回收(369兆瓦),但降低了供水温度(53.4°C),并将排放量减少到49.2吨/兆瓦·a。方案C提高了供水温度(69.9°C),但回收了93%的废热(344 MW),排放量为50.2吨/MW·a。方案D结合了方案B和方案C的优点,实现了全回收(369 MW)、更高的供水温度(73.5℃)和最低的排放(49.2吨/MW·a)。经济分析表明,方案D的初始成本最高,但在热回收、温度和二氧化碳排放方面性能最佳。事实证明,T-Q-C模型在平衡技术、经济和环境因素方面是有效的,突出了综合技术在促进中国碳中和目标下可持续城市供暖方面的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Energy
Energy 工程技术-能源与燃料
CiteScore
15.30
自引率
14.40%
发文量
0
审稿时长
14.2 weeks
期刊介绍: Energy is a multidisciplinary, international journal that publishes research and analysis in the field of energy engineering. Our aim is to become a leading peer-reviewed platform and a trusted source of information for energy-related topics. The journal covers a range of areas including mechanical engineering, thermal sciences, and energy analysis. We are particularly interested in research on energy modelling, prediction, integrated energy systems, planning, and management. Additionally, we welcome papers on energy conservation, efficiency, biomass and bioenergy, renewable energy, electricity supply and demand, energy storage, buildings, and economic and policy issues. These topics should align with our broader multidisciplinary focus.
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