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Decomposition and decoupling analysis of electricity consumption carbon emissions in China

《工程管理前沿（英文）》页码 486-498 doi: 10.1007/s42524-022-0215-3

摘要： Electricity consumption is one of the major contributors to greenhouse gas emissions. In this study, we build a power consumption carbon emission measurement model based on the operating margin factor. We use the decomposition and decoupling technology of logarithmic mean Divisia index method to quantify six effects (emission intensity, power generation structure, consumption electricity intensity, economic scale, population structure, and population scale) and comprehensively reflect the degree of dependence of electricity consumption carbon emissions on China’s economic development and population changes. Moreover, we utilize the decoupling model to analyze the decoupling state between carbon emissions and economic growth and identify corresponding energy efficiency policies. The results of this study provide a new perspective to understand carbon emission reduction potentials in the electricity use of China.

关键词： electricity consumption carbon emission measurement LMDI model decoupling model data driven

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Energy consumption and carbon emissions of hospitals in Tianjin

Chongxu JIANG, Jincheng XING, Jihong LING, Xiaona QIN

《能源前沿（英文）》 2012年第6卷第4期页码 427-435 doi: 10.1007/s11708-012-0199-5

摘要： An energy audit of 22 tertiary hospitals was conducted in Tianjin. The detailed content included design data, basic information, energy bills and equipment lists. It was shown that during the study, the energy intensity of hospitals in Tianjin was approximately stable and the average level of energy consumption was 348 kW·h/(m ·a). From the date collected, it was calculated that the energy intensity of general hospitals was 380 kW·h/(m ·a), and the average carbon emissions was 157 kgCO /(m ·a); While the energy intensity of specialized hospitals was 309 kW·h/(m ·a), and the average carbon emissions was 131 kgCO /(m ·a). By breaking the energy consumption down into several items, it was found that the heating system consumed the highest amount of energy (42.12%), followed by the cooling system (6.78%), the medical equipment (4.98%) and the lighting system (3.63%). The main factors that affect the hospital energy consumption were determined, and some feasible technology and management measures to save energy and reduce carbon emissions were proposed.

关键词： hospital building energy consumption carbon emissions energy saving emission reduction

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Relationship between electricity consumption and economic growth of Guangdong Province in China

Lianhong LV, Hong LUO, Baoliu ZHANG

《能源前沿（英文）》 2012年第6卷第4期页码 351-355 doi: 10.1007/s11708-012-0209-7

摘要： Guangdong is a province with the most electricity consumption (EC) and the fastest economic growth in China. However, there has long been a contradiction between electricity supply and demand in Guangdong and this trend may exist for a long time in the foreseeable future. Therefore, the research on the relationship between EC and economic growth of Guangdong is of very important practical significance to the formulation of relevant policy. In this paper, the econometrics method of granger causality test and co-integration test is used to analyze the relationship between EC and economic growth of Guangdong from 1978 to 2010. The results indicate that there is unidirectional causality between the economic growth and the EC, and the growth of gross domestic product (GDP) and gross industrial output value (GIOV) is the impetus to promote the growth of installedβcapacity (ICAP) and the EC. Therefore, the appropriate restraint of excessive growth of power industry will not necessarily slow down economic growth. There has been a long-term stable equilibrium relationship between the EC and the economic growth. When the GDP and GIOV grows 1 unit respectively, the EC of Guangdong province will increase 0.97 and 0.64 unit respectively. The long-term marginal utility of the EC is more than 1.

关键词： co-integration granger causality electricity consumption (EC) economic growth

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Peak CO

Sheng ZHOU, Maosheng DUAN, Zhiyi YUAN, Xunmin OU

《能源前沿（英文）》 2020年第14卷第4期页码 740-758 doi: 10.1007/s11708-018-0558-y

摘要： This paper studies the pathways of peaking CO emissions of Dezhou city in China, by employing a bottom-up sector analysis model and considering future economic growth, the adjustment of the industrial structure, and the trend of energy intensity. Two scenarios (a business-as-usual (BAU) scenario and a CO mitigation scenario (CMS)) are set up. The results show that in the BAU scenario, the final energy consumption will peak at 25.93 million tons of coal equivalent (Mtce) (16% growth versus 2014) in 2030. In the CMS scenario, the final energy will peak in 2020 at 23.47 Mtce (9% lower versus peak in the BAU scenario). The total primary energy consumption will increase by 12% (BAU scenario) and decrease by 3% (CMS scenario) in 2030, respectively, compared to that in 2014. In the BAU scenario, CO emission will peak in 2025 at 70 million tons of carbon dioxide (MtCO ), and subsequently decrease gradually in 2030. In the CMS scenario, the peak has occurred in 2014, and 60 MtCO will be emitted in 2030. Active policies including restructuring the economy, improving energy efficiency, capping coal consumption, and using more low-carbon /carbon free fuel are recommended in Dezhou city peaked CO emission as early as possible.

关键词： carbon dioxide emission energy consumption peak CO₂ emission low-carbon transition Dezhou city China

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Correlation between carbon emissions and energy structure –Reliability analysis of low carbon target

Ben HUA

《能源前沿（英文）》 2011年第5卷第2期页码 214-220 doi: 10.1007/s11708-010-0133-7

摘要： The influence of energy intensity on carbon intensity depends upon the fraction of energy mixes with high carbon emissions in the total energy mixes . The correlation of with a variety of primary energy mix fractions and technology advances such as CCS and CCHP is analyzed and deduced. Taking the long-term carbon reduction target in 2050 settled upon by the Copenhagen Agreement and the mid-term target suggested by the “450 Scenes Program” of the International Energy Agency (IEA) as constraints, the new pattern of the energy transition of the world in 2020, 2030, and 2050 are estimated and figured out. The peak value of energy consumption will lag behind the peak value of carbon emissions; the world energy structure shifting point will be in 2020–2025. Estimates show that China’s mid-2020 and long-term targets of energy-saving and emission reduction announced by the Chinese government might be achieved.

关键词： correlation carbon emissions energy consumption high carbon emissions energy mix target of emission reduction reliability

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Low-carbon technology calls for comprehensive electricity-market redesign

Yang YU

《工程管理前沿（英文）》 2019年第6卷第1期页码 128-130 doi: 10.1007/s42524-019-0020-9

摘要：

The energy transition also calls for electricity- market redesign. Low-carbon technologies will fundamentally reshape the electricity sector. The electricity generation and demand will be significantly unpredictable and uncontrollable thus require for a more sophisticated system operation to guarantee the grid stability and reliability. The higher difficulty induced by the green-technology penetration expose the electricity-market to a higher market-failure risk. Thus, the future low-carbon electricity-market and associated regulation scheme require a comprehensive new design.

关键词： low-carbon technology electricity-system operation market design

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Employing electricity-consumption monitoring systems and integrative time-series analysis models: A case

Seiya MAKI, Shuichi ASHINA, Minoru FUJII, Tsuyoshi FUJITA, Norio YABE, Kenji UCHIDA, Gito GINTING, Rizaldi BOER, Remi CHANDRAN

《能源前沿（英文）》 2018年第12卷第3期页码 426-439 doi: 10.1007/s11708-018-0560-4

摘要：

The Paris Agreement calls for maintaining a global temperature less than 2°C above the pre-industrial level and pursuing efforts to limit the temperature increase even further to 1.5°C. To realize this objective and promote a low-carbon society, and because energy production and use is the largest source of global greenhouse-gas (GHG) emissions, it is important to efficiently manage energy demand and supply systems. This, in turn, requires theoretical and practical research and innovation in smart energy monitoring technologies, the identification of appropriate methods for detailed time-series analysis, and the application of these technologies at urban and national scales. Further, because developing countries contribute increasing shares of domestic energy consumption, it is important to consider the application of such innovations in these areas. Motivated by the mandates set out in global agreements on climate change and low-carbon societies, this paper focuses on the development of a smart energy monitoring system (SEMS) and its deployment in households and public and commercial sectors in Bogor, Indonesia. An electricity demand prediction model is developed for each device using the Auto-Regression eXogenous model. The real-time SEMS data and time-series clustering to explore similarities in electricity consumption patterns between monitored units, such as residential, public, and commercial buildings, in Bogor is, then, used. These clusters are evaluated using peak demand and Ramadan term characteristics. The resulting energy-prediction models can be used for low-carbon planning.

关键词： electricity monitoring electricity demand prediction multiple-variable time-series modeling time-series cluster analysis Indonesia

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Policy entry points for facilitating a transition towards a low-carbon electricity future

《工程管理前沿（英文）》页码 462-472 doi: 10.1007/s42524-022-0214-4

摘要： This study extends the ambit of the debate on electricity transition by specifically identifying possible policy entry points through which transformative and enduring changes can be made in the electricity and socio–economic systems to facilitate the transition process. Guided by the “essence” of the multi-level perspective — a prominent framework for the study of energy transition, four such entry points have been identified: 1) destabilising the dominant, fossil fuel-based electricity regime to create room for renewable technologies to break through; 2) reconfiguring the electricity regime, which encompasses technology, short-term operational practices and long-term planning processes, to improve flexibility for accommodating large outputs from variable renewable sources whilst maintaining supply security; 3) addressing the impact of coal power phase-out on coal mining regions in terms of economic development and jobs; and 4) facilitating a shift in transition governance towards a learning-based, reflexive process. Specific areas for policy interventions within each of these entry points have also been discussed in the paper.

关键词： electricity transition multi-level perspective policy entry points

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碳边境调节机制下近零碳制造体系建设研究

成润婷 ,张勇军 ,李立浧 ,丁茂生 ,林靖淳 ,章春锋 ,韩永霞

《中国工程科学》 doi: 10.15302/J-SSCAE-2023.07.037

摘要：

在国家“双碳”战略目标、欧盟碳排放交易体系改革的双重驱动下，我国制造业实施节能、减污、降碳协同增效，尽快实现低碳和零碳转型，成为关注焦点和发展亟需。本文重点探讨了欧盟碳边境调节机制（CBAM）对我国制造业的影响，基于此梳理了近零碳制造体系的概念特征，从关键技术、计量基础、市场驱动力等主要维度出发，详细阐述了近零碳制造体系的核心内容。分别从产品制造、电力供应两方面，提炼了近零碳制造体系的技术发展方向，建议形成“源网荷”碳计量系统以细化碳排放责任；借鉴国外碳市场发展经验并分析我国碳市场发展格局，在理论层面探讨了未来我国碳市场构建路径以促进近零碳制造体系发展。提出的近零碳制造体系实践方案，可为深化“双碳”背景下我国制造业高质量发展、开展CBAM背景下我国制造业低碳转型建设研究提供先导性和基础性参考。

关键词：欧盟碳排放交易体系；碳边境调节机制；零碳转型；碳排放计量；碳市场

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降低油耗减少排放实现我国汽车产业的健康发展

曹湘洪

《中国工程科学》 2005年第7卷第1期页码 1-8

摘要：

通过分析我国原油资源的供需矛盾及世界石油的供需态势，提出实现我国汽车产业健康发展的途径是：尽快制定并实施燃油消费税政策，推动低油耗低污染小排量汽车的开发、生产与使用；重视发展柴油汽车；制定并实施严格的汽车燃油经济标准和排放标准，提高汽车的设计和制造水平；加快老旧车辆的淘汰速度。

关键词：汽车低油耗低污染汽车产业

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高耗能企业系统化节能模型控制研究

张少军,叶安丽,王景星

《中国工程科学》 2004年第6卷第2期页码 73-76

摘要：

在高耗能企业中采用“系统化节能动态模型控制”技术，将企业电耗分成若干环节，构建各环节的电耗目标函数模型，再将各环节电耗目标函数值作为企业系统目标控制函数中的决策变量，构建企业级电耗目标函数，并进行优化计算与控制，实现企业电耗最小。

关键词：高耗能企业节能动态模型控制电耗目标函数

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Life cycle carbon emission assessment of a multi-purpose university building: A case study of Sri Lanka

Ramya KUMANAYAKE, Hanbin LUO

《工程管理前沿（英文）》 2018年第5卷第3期页码 381-393 doi: 10.15302/J-FEM-2018055

摘要：

Buildings are known to significantly affect the global carbon emissions throughout their life cycle. To mitigate carbon emissions, investigation of the current performance of buildings with regard to energy consumption and carbon emissions is necessary. This paper presents a process-based life cycle assessment methodology for assessing carbon emissions of buildings, using a multi-storey reinforced concrete building in a Sri Lankan university as a case study. The entire cradle-to-grave building life cycle was assessed and the life span of the building was assumed as 50 years. The results provide evidence of the significance of operation and material production stages, which contributed to the total carbon emissions by 63.22% and 31.59% respectively. Between them, the main structural materials, concrete and reinforcement steel made up 61.91% of the total carbon emitted at the material production stage. The life cycle carbon emissions of the building were found to be 31.81 kg·m⁻² CO₂ per year, which is comparable with the values obtained in similar studies found in the literature. In minimizing the life cycle carbon emissions, the importance of identifying control measures for both building operation and material production at the early design stage were emphasized. Although the other life cycle stages only contributed to about 5.19% of the life cycle carbon emissions, they should also receive attention when formulating control strategies. Some of the recommended strategies are introducing energy efficiency measures in building design and operation, using renewable energy for building operation and manufacturing of materials, identifying designs that can save mass material quantities, using alternative materials that are locally available in Sri Lanka and implementing material reuse and recycling. This study is one of the first to undertake a life cycle carbon emissions assessment for a building in the Sri Lankan context, with the hope of facilitating environmentally-friendly buildings and promoting sustainable construction practices in the country.

关键词： carbon emission life cycle assessment buildings sustainable construction Sri Lanka

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Quantification of emission variability for off-road equipment in China based on real-world measurements

《环境科学与工程前沿（英文）》 2022年第16卷第2期 doi: 10.1007/s11783-021-1455-x

摘要：

• Emissions from 53 in-use diesel-fueled off-road equipment were measured.

关键词： Off-road equipment Portable emission measurement system (PEMS) Real-world emissions Diesel engine

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面向高比例可再生能源消纳的电力市场建设及研究进展

成润婷,张勇军,李立浧,丁茂生,邓文扬,陈皓勇,林靖淳

《中国工程科学》 2023年第25卷第2期页码 89-99 doi: 10.15302/J-SSCAE-2023.02.011

摘要：

完善的电力市场可在电力资源配置方面发挥决定性作用，是保证各类市场主体开展活跃的供需互动、促进可再生能源消纳的关键机制；针对性开展电力市场中影响可再生能源消纳因素的综合性分析，也是相关应用研究亟需。本文重点考虑全时间尺度下促进可再生能源消纳相关的交易机制，概述了国外典型电力市场结构及运行情况，梳理了相应电力市场结构及机制中促进可再生能源消纳的关键影响因素；围绕可再生能源消纳的多维关键影响因素，深入分析了我国各类市场结构和不同机制的建设现状，归纳出促进可再生能源消纳电力市场建设面临的挑战。从电力市场与碳市场、绿证市场耦合机制，可再生能源参与的中长期、现货交易及其衔接机制，面向高比例可再生能源的辅助服务市场，面向高比例可再生能源消纳的需求侧响应机制等方面，梳理了我国相关电力市场的学术研究进展。研究建议，实施多市场协同运作、中长期及现货交易衔接、辅助服务市场建设、需求响应机制建设等重点举措，支持面向高比例可再生能源消纳的电力市场建设。

关键词：可再生能源消纳；绿证市场；碳市场；辅助服务市场；需求侧响应

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论钢铁行业能耗、物耗、排放的宏观调控

陆钟武,蔡九菊,杜涛,岳强,高成康,王鹤鸣

《中国工程科学》 2015年第17卷第5期页码 126-132

摘要：

强调了对钢铁行业能耗、物耗和排放进行深入、透彻研究的重要性，说明了本研究工作的指导思想、思维方式和理论基础，构思了一张钢铁行业宏观调控网络图，推导了一组多比值计算式；它们都是进行精准、有效的宏观调控所必备的理论工具。回顾过去，确定了我国钢铁行业能耗高、物耗高、排放高的主要原因；展望未来，提出了今后调控工作的原则、方向和长远目标。本文初次阐明了钢铁行业宏观调控的理论和方法。

关键词：钢铁行业；钢产量；能耗、物耗、排放；宏观调控网络图；宏观调控计算式

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标题作者时间类型操作

Decomposition and decoupling analysis of electricity consumption carbon emissions in China

期刊论文

Energy consumption and carbon emissions of hospitals in Tianjin

Chongxu JIANG, Jincheng XING, Jihong LING, Xiaona QIN

期刊论文

Relationship between electricity consumption and economic growth of Guangdong Province in China

Lianhong LV, Hong LUO, Baoliu ZHANG

期刊论文

Peak CO