三银Low-E玻璃对减少碳排放的计算及应用研究

鉴于建筑物在其整个生命周期内的能源消耗占全球总能耗的显著比例,使用高效节能建材,是推动建筑绿色低碳化、助力实现“碳达峰”与“碳中和”目标的有效途径之一。三银Low-E玻璃凭借其独特的膜层结构,具有卓越的节能效果。为深入探究三银Low-E玻璃的碳减排性能,通过对采用不同类型银基Low-E玻璃的建筑的碳排放量进行精确测算,对比分析单、双、三银Low-E玻璃的碳减排效果,从而为三银Low-E玻璃的市场推广提供坚实的理论依据。

Scenario analysis for the energy demand and carbon emissions in low carbon city

This paper takes the climate change and low carbon economy development as the study background, based on the analysis of energy demand and carbon emissions status, which is aimed to provide the low carbon development path in Chinese cities. The method of scenario analysis can be used to predict long-term strategy for the uncertainty future development, and it was introduced to the field of social forecasting and public policy research, such as the environmental strategic planning, policy analysis, and support of decision in resource management, which can be used to explore the possible development trend and target of the results from the macro perspective. Scenario analysis has been gradually applied to the study area on low carbon economy, energy forecasting and other fields in recent years, and there have been many research results in different aspects. This paper takes the scenario analysis as basic study theory, spreading out the present situation of its application in low carbon city and some issues that need further study. As a tool for predicting the future development in low carbon city, the method of scenario analysis has been providing a powerful reference for policies and their executants.

Impacts of Future NO_x and CO Emissions on Regional Chemistry and Climate over Eastern China

A coupled chemical/dynamical model （SOCOL-SOlar Climate Ozone Links） is applied to study the impacts of future enhanced CO and NO_x emissions over eastern China on regional chemistry and climate. The result shows that the increase of CO and NOx emissions has significant effects on regional chemistry, including NOx, CO, O_3, and OH concentrations. During winter, the CO concentration is uniformly increased in the northern hemisphere by about 10 ppbv. During summer, the increase of CO has a regional distribution. The change in O_3 concentrations near eastern China has both strong seasonal and spatial variations. During winter, the surface O_3 concentrations decrease by about 2 ppbv, while during summer they increase by about 2 ppbv in eastern China. The changes of CO, NO_x, and O_3 induce important impacts on OH concentrations. The changes in chemistry, especially O_3, induce important effects on regional climate. The analysis suggests that during winter, the surface temperature decreases and air pressure increases in central-eastern China. The changes of temperature and pressure produce decreases in vertical velocity. We should mention that the model resolution is coarse, and the calculated concentrations are generally underestimated when they are compared to measured results. However, because this model is a coupled dynamical/chemical model, it can provide some useful insights regarding the climate impacts due to changes in air pollutant emissions.

Excitation of extremely low-frequency chorus emissions: The role of background plasma density

Low-frequency chorus emissions have recently attracted much attention due to the suggestion that they may play important roles in the dynamics of the Van Allen Belts.However, the mechanism(s) generating these low-frequency chorus emissions have not been well understood..In this letter, we report an interesting case in which background plasma density lowered the lower cutoff frequency of chorus emissions from above 0.1 f_(ce)(typical ordinary chorus) to 0.02 f_(ce)(extremely low-frequency chorus).Those extremely low-frequency chorus waves were observed in a rather dense plasma, where the number density N_e was found to be several times larger than has been associated with observations of ordinary chorus waves.For suprathermal electrons whose free energy is supplied by anisotropic temperatures, linear growth rates(calculated using in-situ plasma parameters measured by the Van Allen Probes) show that whistler mode instability can occur at frequencies below 0.1 f_(ce) when the background plasma density N_e increases.Especially when N_e reaches 90 cm–3 or more, the lowest unstable frequency can extend to 0.02 f_(ce) or even less, which is consistent with satellite observations.Therefore, our results demonstrate that a dense background plasma could play an essential role in the excitation of extremely lowfrequency chorus waves by controlling the wave growth rates.

Influence of constricted air distribution on NO_x emissions in pulverized coal combustion boiler

This paper reports a field testing of full scale PCC (Pulverized Coal Combustion) boiler study into the influence of constricted air distribution on NO x emissions at unit 3 (125 MW power units, 420 t/h boiler) of Guixi power station, Jiangxi and puts forward the methods to decrease NO x emissions and the principle of boiler operation and regulation through analyzing NO x emissions state under real running condition. Based on boiler constricted air distribution, the experiment mainly tested the influence of primary air, excessive air, boiler load and milling sets (tertiary air) on NO x emissions and found its influence characteristics. A degraded bituminous coal is simply adopted to avoid the test results from other factors.

Implement of Low Carbon Logistics Park Based on Minimizing Carbon Emissions

Based on the development of modem logistics park in China, and with the thought of minimizing carbon emission, the development of Logistics Park was analyzed and the necessity of developing low carbon Logistics Park was proposed. Low carbon emission in Logistics Park was planned. In the end, operation and implementation strategies of low carbon parks were put forward so as to create favorable environment for the re- alization of low carbon emission in Logistics Park.

Coking and decoking chemistry for resource utilization of polycyclic aromatic hydrocarbons(PAHs)and low-carbon process

Low-carbon process for resource utilization of polycyclic aromatic hydrocarbons(PAHs)in zeolitecatalyzed processes,geared to carbon neutrality-a prominent trend throughout human activities,has been bottlenecked by the lack of a complete mechanistic understanding of coking and decoking chemistry,involving the speciation and molecular evolution of PAHs,the plethora of which causes catalyst deactivation and forces regeneration,rendering significant CO_(2) emission.Herein,by exploiting the high-resolution matrix-assisted laser desorption/ionization Fourier-transform ion cyclotron resonance mass spectrometry(MALDI FT-ICR MS),we unveil the missing fingerprints of the mechanistic pathways for both formation and decomposition of cross-linked cage-passing PAHs for SAPO-34-catalyzed,industrially relevant methanol-to-olefins(MTO)as a model reaction.Notable is the molecule-resolved symmetrical signature:their speciation originates exclusively from the direct coupling of in-cage hydrocarbon pool(HCP)species,whereas water-promoted decomposition of cage-passing PAHs initiates with selective cracking of inter-cage local structures at 8-rings followed by deep aromatic steam reforming.Molecular deciphering the reversibly dynamic evolution trajectory(fate)of full-spectrum aromatic hydrocarbons and fulfilling the real-time quantitative carbon resource footprints advance the fundamental knowledge of deactivation and regeneration phenomena(decay and recovery motifs of autocatalysis)and disclose the underlying mechanisms of especially the chemistry of coking and decoking in zeolite catalysis.The positive yet divergent roles of water in these two processes are disentangled.These unprecedented insights ultimately lead us to a steam regeneration strategy with valuable CO and H_(2) as main products,negligible CO_(2) emission in steam reforming and full catalyst activity recovery,which further proves feasible in other important chemical processes,promising to be a sustainable and potent approach that contributes to carbon-neutral chemical industry.

Low Carbon Building Design Optimization Based on Intelligent Energy Management System

The construction of relevant standards for building carbon emission assessment in China has just started,and the quantitative analysis method and evaluation system are still imperfect,which hinders the development of low-carbon building design.Therefore,the use of intelligent energy management system is very necessary.The purpose of this paper is to explore the design optimization of low-carbon buildings based on intelligent energy management systems.Based on the proposed quantitative method of building carbon emission,this paper establishes the quota theoretical system of building carbon emission analysis,and develops the quota based carbon emission calculation software.Smart energy management system is a low-carbon energy-saving system based on the reference of large-scale building energy-saving system and combined with energy consumption.It provides a fast and effective calculation tool for the quantitative evaluation of carbon emission of construction projects,so as to realize the carbon emission control and optimization in the early stage of architectural design and construction.On this basis,the evaluation,analysis and calculation method of building structure based on carbon reduction target is proposed,combined with the carbon emission quota management standard proposed in this paper.Taking small high-rise residential buildings as an example,this paper compares and analyzes different building structural systems from the perspectives of structural performance,economy and carbon emission level.It provides a reference for the design and evaluation of low-carbon building structures.The smart energy management system collects user energy use parameters.It uses time period and time sequence to obtain a large amount of data for analysis and integration,which provides users with intuitive energy consumption data.Compared with the traditional architectural design method,the industrialized construction method can save 589.22 megajoules(MJ)per square meter.Based on 29270 megajoules(MJ)per ton of standard coal,the construction area of the case is about 8000 m2,and the energy saving of residential buildings is 161.04 tons of standard coal.This research is of great significance in reducing the carbon emission intensity of buildings.

近朱者赤:被纳入碳排放权交易试点的客户能否影响企业ESG表现?

绿色是实现高质量发展最亮的底色。以“双碳”目标为背景,基于企业与客户的二元供应链关系,实证检验被纳入碳排放权交易试点的客户对企业ESG表现的影响。研究表明:被纳入碳排放权交易试点的客户能够显著提升企业ESG表现。对企业ESG表现的分维度研究表明,被纳入碳排放权交易试点的客户对企业E和S维度的表现具有显著的提升作用,而对企业G维度表现的提升作用不显著。被纳入碳排放权交易试点的客户通过倒逼效应提升企业ESG表现。短期内,被纳入碳排放权交易试点的客户倒逼企业“末端治理”;长期内,被纳入碳排放权交易试点的客户倒逼企业“前端预防”。当企业位于低碳试点城市、处于高碳排放行业时,被纳入碳排放权交易试点的客户对企业ESG表现的提升作用更显著。企业ESG表现提升并不能直接增加企业价值,但被纳入碳排放权交易试点的客户能够倒逼企业提高环保投资水平和绿色技术创新水平,进而推动企业ESG表现显著增加企业价值,而且长期更有效。基于被纳入碳排放权交易试点的客户这一新研究视角,揭示了低碳减排与ESG实践的激励相容机制,不仅为深入理解我国碳试点的微观作用效果提供了新思路,而且对推进美丽中国建设、实现经济高质量发展具有重要的实践意义。

低透煤层瓦斯超前排放钻孔布置方式优化研究

目的为有效解决低透气性煤层瓦斯突出问题,有效消除阵列布孔方式带来的瓦斯排放盲区以及对角圆相切布孔方式造成的钻孔数量增加、重复排放等问题。方法通过理论分析,在超前排放钻孔有效排放半径一定的情况下提出阵列菱形法优化超前排放孔的布置方式(R为有效排放半径,煤层走向排放孔的间距为√3R),其钻孔数量约为对角圆相切法的3/4,重复排放面积减少至11%,减少了对角圆相切布孔方式的重复排放面积,减少了钻孔的数量。结果运用COMSOL Multiphysics对阵列菱形法布孔方式进行数值模拟运算,结果表明,阵列菱形法布孔方式排放20 d后,钻孔有效排放半径内整体瓦斯压力低于0.5 MPa,排放100 d后瓦斯压力低于0.30 MPa,卸压效果优于对角圆相切布孔方式的。将阵列法和对角圆相切法两种布孔方式排放100 d时钻孔周围的瓦斯压力分布情况与阵列菱形法布孔方式排放20 d时的分布情况交叉对比,发现阵列菱形法布孔方式卸压速率更快,卸压范围更广。结论提出阵列菱形法设计钻孔布孔方式,并运用COMSOL Multiphysics对3种钻孔布孔方式的卸压情况进行数值模拟运算,对比发现,阵列菱形法钻孔布孔方式比阵列法和对角圆相切法布孔方式更具优势,且在相同时间内卸压速率更快、卸压范围更广,对低透煤层预防瓦斯突出具有重要的意义。

试点碳排放权交易市场对中国工业低碳转型的作用机制研究

本文通过构建理论模型,探讨试点碳排放权交易市场影响中国工业低碳转型的作用机制,并从七个试点省份出发,选取2006—2021年的省级面板数据,运用多期双重差分法对试点碳排放权交易市场政策的环境经济效应进行分析。研究结果显示,试点碳排放权交易市场能够有效降低碳排放强度和提升工业低碳全要素生产率,从而促进中国工业的低碳转型。机制检验结果表明,试点碳排放权交易市场主要通过成本约束和结构升级途径促进工业低碳转型,而技术进步途径的作用尚未实质性显现。异质性分析结果表明,在经济发展水平和研发水平更高的地区,碳排放权交易政策对碳排放强度的降低和生产率的提升效果更加明显;而在外商投资水平更高的地区,碳排放权交易政策对低碳全要素生产率的提升效果更加明显。

Energy Emissions Profile and Floating Solar Mitigation Potential for a Malaysia’s State

The establishment of the National Low Carbon City Master Plan(NLCCM)by Malaysia’s government presents a significant opportunity to minimize carbon emissions at the subnational or local scales,while simultaneously fostering remarkable economic potential.However,the lack of data management and understanding of emissions at the subnational level are hindering effective climate policies and planning to achieve the nationally determined contribution and carbon neutrality goal.There is an urgent need for a subnational emission inventory to understand and manage subnational emissions,particularly that of the energy sector which contribute the biggest to Malaysia’s emission.This research aims to estimate carbon emissions for Selangor state in accordance with the Global Protocol for Community-Scale Greenhouse Gas Emission Inventories(GPC),for stationary energy activities.The study also evaluates the mitigation potential of Floating Solar Photovoltaic(FSPV)proposed for Selangor.It was found that the total stationary energy emission for Selangor for the year 2019 was 18,070.16 ktCO2e,contributed the most by the Manufacturing sub-sector(40%),followed by the Commercial and Institutional sub-sector;with 82%contribution coming from the Scope 2 emission.The highest sub-sector of Scope 1 emissions was contributed by Manufacturing while Scope 2 emissions from the Commercial and Institutional.Additionally,the highest fuel consumed was natural gas,which amounted to 1404.32 ktCO2e(44%)of total emissions.The FSPV assessment showed the potential generation of 2.213 TWh per year,by only utilizing 10%of the identified available ponds and dams in Selangor,equivalent to an emission reduction of 1726.02 ktCO2e,offsetting 11.6%Scope 2 electricity emission.The results from the study can be used to better evaluate existing policies at the sub-national level,discover mitigation opportunities,and guide the creation of future policies.

“双碳”目标下低碳农业技术发展应用条件评价及路径研究

“双碳”目标下,科学评估筛选适宜不同地域的农业减排固碳技术,并因地制宜制定低碳农业技术路径具有重要的现实意义.综合采取德尔菲法、层次分析法、多因素综合评价模型进行评价表明,种植、养殖、能源消耗3个方面42项技术中发展应用条件综合水平位于3≥Z≥2.5、 2.5>Z≥2、 2>Z≥1等3个区间的比重分别为16.67%,61.90%,21.43%,大部分技术在重庆具有较好的综合推广应用条件,其中种植方面最好;重庆低碳农业发展可采取分区分级思路,根据农业生产特点按粮食主产区、养殖集中区、生态脆弱区分区推进“双增双减”“稳能减排”“提能固碳”综合技术路径,根据技术发展应用条件水平分级优先推广位于3≥Z≥2.5区间的7项技术,以及位于2.5>Z≥2区间的26项技术.最后提出加快低碳农业技术的创新步伐、推广应用、发展环境建设等对策建议.

低碳转型对企业全要素生产率的影响研究

在提出“双碳”目标的背景下,为缓解全球气候变化带来的恶劣影响,企业亟须低碳转型以实现可持续发展和提升市场竞争力。选取2008-2021年A股上市公司面板数据为样本,通过Python爬取关键词测度企业低碳转型,研究表明低碳转型程度对企业全要素生产率有正向影响,其影响机制是:低碳转型程度高的企业,市场地位会提高,将获得更多绿色贷款和减少融资约束,最终促进企业全要素生产率提升。该结论通过一系列稳健性检验后依然有效。进一步研究发现,国有企业、非两职合一和位于东中部地区企业,进行低碳转型对企业全要素生产率的正向影响更加显著。研究结论为进一步促进企业低碳减排提供了理论依据。

考虑超碳需求响应的综合能源系统低碳优化调度

西北地区新能源发展迅速,充分利用当地独有的光热资源优势,同时结合火电低碳化改造与新能源协同运行,有利于推动当地能源系统绿色低碳转型。为尽最大限度地提升系统的减碳能力,提出一种基于源荷协同降碳的超碳需求响应模型,将动态碳排放因子作为分时电价的惩罚因子,从而将源侧碳信号传递至荷侧,驱使用户侧进行低碳性状态转移。首先,在日前调度阶段,构建预调度-再调度两阶段调度运行机制,再调度根据预调度的系统状态信息进行超碳需求响应,来深度降低系统碳排量。其次,将光热电站引入综合能源系统,与风电场、碳捕集电厂协同运行,从而构建高比例新能源场景,来验证超碳需求响应在此场景下的减碳效益。最后,建立了基于超碳需求响应的预调度-再调度两阶段低碳调度模型。经算例仿真分析表明,所提源荷协同降碳的新思路能有效提高系统的减碳能力,深入挖掘系统的降碳空间,提升系统的经济效益。

“双碳”目标下的农业碳问题研究进展及未来展望

减少农业碳排放,提高农业碳汇能力,是我国实现“双碳”目标的重要举措,也是潜力所在,故厘清农业碳问题的研究现状及其特征具有重要意义。为助力我国“双碳”目标早日实现,本文基于农业碳排放、农业碳汇以及农业低碳发展驱动因素3个维度对已有相关研究进行全面梳理:首先,明确了农业碳排放的基本概念并介绍了常见的测算方法,同时基于时序演变、空间分布、效率特征、减排路径等视角对其研究现状进行了回顾;其次,界定农业碳汇的基本概念,进而引申出森林碳汇、土壤碳汇和海洋碳汇并介绍各自的测算方法,而后则围绕农业净碳汇与碳汇市场化展开重点阐述;最后,从宏观和微观2个层面探讨影响农业低碳发展的主要因素,其中前者着眼于政策、经济、社会等方面,而后者则侧重于户主的内在因素和农户面临的外部环境。针对未来农业碳问题的研究方向,本文认为可重点围绕以下4个方面,即农业碳达峰的科学预测与差异化减排路径设计、农业减碳固碳潜力的科学评估与实现路径探讨、农业碳市场的构建与碳汇价值变现的思路探索以及农户低碳生产技术供需匹配探究与其制度优化。

中国工业低碳转型进程再评估及其多样化分解

工业低碳转型是中国落实“双碳”目标、推进绿色低碳发展的关键所在,全面理解中国工业低碳转型进程具有重要价值。为此,首先构建工业低碳转型进程再评估及其分解的理论框架,随后基于跨国、省份和行业样本数据,采用SBM方向性距离函数和Luenberger生产率指标对2001—2021年中国工业低碳转型进程展开再评估,并从生产技术演化、要素效率变动和经济结构变迁三个维度对该进程进行分解。研究发现,国际视角下的中国工业低碳转型进程在研究期内稳步推进,节奏更为平稳、方式更可持续;国内视角下的中国工业低碳转型进程在研究期内具有先快后缓的推进特征,且省份间和行业间低碳转型分化程度持续加深;经典分解表明技术进步和技术效率提升在推动工业低碳转型过程中无法有效协同,存在普遍的正负或强弱特征;要素分解表明工业低碳转型的驱动要素逐渐多元化,能源效率和碳效率的贡献逐步凸显,但具有一定波动性;结构分解显示区域结构效率总体呈小幅下降趋势,产业结构效率始终为负且后期受政策影响而呈现周期性波动特征。基于研究结论,从协同推进技术进步与技术效率改善、提升区域及行业维度能源效率和碳效率、优化经济结构效率三方面为高质量推进中国工业低碳转型进程提出了具体建议。

基于绿电和自愿减排量交易的园区低碳电力运营优化

为保证园区电力运营经济性,提高清洁电能的使用比例,文章提出了一种基于绿电和自愿减排量交易的园区低碳电力运营优化模型。该模型综合考虑了绿电和火电的购电成本、光伏发电成本及自愿减排量收益,以总运营成本最小为目标函数,结合随机概率约束,分中长期、日前和实时三阶段对绿电、火电电量以及光伏发电量进行优化。以南京市某企业园区的数据为基础,在自愿减排量价格合理的前提下,该优化模型可小幅降低园区总运营成本,并且显著提高了清洁电能的使用比例和园区应对扰动的能力。另外,就自愿减排量价格以及置信度取值对优化结果的影响进行了分析。

基于实际地铁线路的全生命周期碳排放研究

在双碳战略的重大战略部署下,对轨道交通全生命周期碳排放进行研究,合理量化其碳排放水平是实现交通部门碳达峰、碳中和的重要措施。本文基于北京某新建地铁线路,对轨道交通全生命周期碳排放进行分析,建立了轨道交通全线、全生命周期的碳排放计算模型,并定量计算新建地铁线路全线、全生命周期的碳排放量。同时,对建设阶段和运营阶段的降碳措施做出分析,定量评估其降碳潜力。对全长81 km新建地铁线路进行碳排放量计算,得到建设阶段碳排放量为257万t CO_(2)eq,运营阶段为5.35万t CO_(2)eq/a,50年运营周期总计碳排放量524万t CO_(2)eq。建设阶段使用可再生材料及预制结构可减少碳排放量7%;运营阶段综合采用多种节能降碳措施后,可降碳27%;50年运营周期降碳潜力总计17%。该模型的建立对城轨交通全生命周期碳排放定量计算有指导意义,降碳措施的研究成果以期为城轨交通完成绿色低碳转型、实现交通部门碳达峰、碳中和提供参考。

碳排放权交易试点对城市工业低碳转型的影响

文章基于2006—2020年中国254个城市面板数据,采用双向固定效应模型和双重机器学习模型评估碳排放权交易试点对城市工业低碳转型的影响机制。研究发现:碳排放权交易试点能够促进城市工业低碳转型,但是辐射范围存在距离衰减效应;异质性研究显示,初始排放配额采用无偿分配的试点城市拥有更好的转型效果,北京和上海碳试点具有积极辐射作用,而广东、深圳和重庆碳试点则呈现消极辐射影响;空间检验结果显示,碳排放权交易试点对其他地区工业低碳转型会产生消极的空间溢出效应;机制研究结果显示,碳排放权交易试点的运行通过拓宽碳交易覆盖面影响工业低碳转型效果,但碳交易频率的增加并不会直接影响工业低碳转型的发展。