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2024年3月,中国的二氧化碳(CO2)排放量下降了3%。这标志着自2022年12月放宽防疫措施、重启经济活动以来,中国碳排放量连续14个月的增长告一段落。

Carbon Brief基于官方数字和商业数据进行的新分析显示,中国CO2排放量在2023年或已达峰。

2024年3月CO2排放量下降的驱动因素包括光电和风电的快速增长,这满足了电力需求增长的90%,以及建筑活动的减少。

石油需求增长也陷入停滞,表明疫情后的经济反弹可能已临近尾声。

如果中国能维持去年创纪录的清洁能源建设水平,该国有望在2023年实现碳达峰。

然而,整个行业和政府对清洁能源的增长前景看法不一。如果中国尚未实现碳达峰,如何弥合分歧将是决定碳达峰何时到来的关键因素。

该分析的其他关键发现包括:

  • 尽管电力需求强劲增长,但光电和风电的增长推动化石燃料发电量份额从前一年的67.4%下降至2024年3月的63.6%。
  • 由于中国房地产建设活动的持续萎缩,2024年3月钢铁产量下降了8%,水泥产量下降了22%。
  • 电动汽车现在约占中国道路上汽车总量的十分之一,将汽油需求增长拉低了约3.5个百分点。
  • 去年创纪录的太阳能新增发电装机中,约45%是规模较小的分布式光伏,导致看似出现了“数据缺失”问题。

为什么三月排放量出现下降?

根据中国国家统计局发布的初步能源消费数据,2024年第一季度中国的碳排放量总体显著增加。

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今年1月和2月的碳排放量仍较2023年的低基数大幅增长,彼时中国经济仍因刚结束不久的清零防疫措施而受到抑制。

因此,与2023年同期相比,2024年第一季度的CO2排放量同比增长了3.8%,煤炭消费量增长了3%,石油消费量增长了4%,天然气消费量增长了11%。

转折点出现在今年3月份。由于该月份的煤炭消费量降低了1%,石油消费保持平稳,而水泥产量则下降了22%,导致3月CO2排放量同比下降了3%。尽管天然气消费量增长了14%,但由于其在中国能源结构中占比较小,从而影响有限。

如下图所示,自2022年12月放宽疫情限制措施后,中国的碳排放量从2023年2月开始回升。

因此,2023年1月至2月的同比比较仍然受到去年疫情导致的低基数影响,这使得3月的数据成为能够清楚地反映碳排放趋势的首个月度数据。

中国每月化石燃料和水泥二氧化碳排放量同比变化(MtCO2)。排放量根据国家统计局不同燃料和水泥的生产数据、中国海关进出口数据和WIND信息库存变化数据估算得出。煤炭消费的行业细分估算使用 WIND Information 的煤炭消费数据和国家能源局的电力数据。 Carbon Brief 制图。
中国每月化石燃料和水泥二氧化碳排放量同比变化(MtCO2)。排放量根据国家统计局不同燃料和水泥的生产数据、中国海关进出口数据和WIND信息库存变化数据估算得出。煤炭消费的行业细分估算使用 WIND Information 的煤炭消费数据和国家能源局的电力数据。 Carbon Brief 制图。

近年来,中国碳排放量增长的主要推动力来自电力部门(见下文)。

反之,3月碳排放趋势转为下降,主要原因也是电力部门的排放量增长的大幅放缓。由于光电和风电的强劲增长,电力部门3月的碳排放量仅同比增长了1%。

如下图所示,尽管电力部门的排放量企稳,但建筑业对钢铁和水泥的需求持续下降,这才是3月份碳排放量减少的最主要原因。

钢铁产量下降了8%,因此炼钢厂的主要燃料炼焦煤的产量也随之降低。水泥产量同比骤降了22%。

由于政府对房地产行业高杠杆的打击和对金融风险的管控,以及建筑行业过去的繁荣导致了产能过剩,房地产行业投资已连续第三年收缩,这使得上述排放趋势可能会继续维持。

2024 年 3 月与 2023 年 3 月的二氧化碳排放量按产业和能源划分对比(MtCO2)。排放量根据国家统计局数据、中国海关进出口数据和WIND Information数据估算得出。煤炭消费的行业细分估算使用 WIND Information 的煤炭消费数据和国家能源局的电力。 Carbon Brief 制图。
2024 年 3 月与 2023 年 3 月的二氧化碳排放量按产业和能源划分对比(MtCO2)。排放量根据国家统计局数据、中国海关进出口数据和WIND Information数据估算得出。煤炭消费的行业细分估算使用 WIND Information 的煤炭消费数据和国家能源局的电力。 Carbon Brief 制图。

尽管建筑业需求出现收缩,但中国对钢铁和其他能源密集型金属的需求并未出现预期的大幅下降。

这背后的原因是制造业的快速增长和对该行业的投资,而在设施建设和工业机械生产中都需使用金属制品。

但是,随着全球各种商品和大宗货物的市场逐渐饱和,这种制造业的增长不太可能持续下去。当局的经济政策现在强调“新质生产力”,这是推动经济增长摆脱对传统重工业的依赖的最新尝试。“新质生产力”指高端的制造和研发,这些领域的能源密集程度大多比中国的传统工业部门更低。

从2024年3月其他行业的情况来看,运输用油的需求在经历了几个月的强劲增长之后,变得与去年同期相比近乎持平。这表明疫情后的需求反弹可能正在逐渐消失。

航空燃料(+35%)和汽油(+7%)产量仍在增长,说明客运需求出现增长。但柴油产量增长停滞(+1%),原油加工量也仅增加了1%。

电动汽车的增长正显著削减石油需求量。根据过去十年的累计销售数据估计,电动汽车在道路上所有车辆中的占比从去年的7.0%增加到10.5%。这表明,电动汽车的普及使汽油需求增长降低了3.5个百分点。

天然气需求出现大幅反弹,同比增长14%。此前天然气价格高企导致需求下降。天然气消费的增长主要来自工业和家庭部门。

随着燃气电厂利用率有所恢复,电力部门的天然气消费量增长了8%,但这仅占总体增长很小的一部分。

天然气在中国能源结构中的占比曾连续增长了二十多年,在2021至2023年间有所下降,现在开始恢复增长。

近期推动碳排放量增长的一个因素仍在继续:化工行业的煤炭消费量增长了14%,延续了2022和2023年两位数的增长趋势。

尽管目前还没有足够的数据来估算4月份的CO2排放量,但当月的工业数据表明,3月排放下降的趋势仍在继续。

由于光伏发电满足了大部分的电力需求增长,火力发电量——主要来自煤电——缓慢增长了1.3%。钢铁、水泥和焦炭产量分别下降了8%、9%和7%,反映出建筑需求的持续减少。炼油量下降了3%。

国内煤炭开采量下降了3%,而进口量增加了11%,这意味着总供应量减少了5%。

天然气需求进一步强劲增长,进口量增长了15%,国内产量增加了3%。在能源密集型行业中,化工和有色金属行业的产量继续保持较快增长。

光电和风电满足需求增长

企稳的电力部门排放量值得关注,因为电力需求继续以7.4%高速增长,而受长期干旱的影响,水电利用率低于长期平均水平。

过去几年,工业用电推动电力需求迅速增长。3月,工业需求增长放缓,但服务业的反弹维持了整体需求的增长。

近一半的用电需求增长来自工业,其中有色金属、化工、机械和电子等行业是最主要的需求增长的领域。服务业贡献了需求增长的三分之一,主要源自批发和零售贸易,另有六分之一来自家庭用电。

在2022年历史性的热浪引发一波空调购买潮的推动下,家庭用电需求在过去几年也出现了激增,尤其是在以前没有空调的低收入家庭。

尽管电力需求快速增长,但由于分布式光伏电站的大规模部署,规模以上工业发电量增速放缓至3%。

(与大型集中式太阳能发电场相比,分布式光伏电站指的是装机规模较小的发电系统,通常安装在家庭和企业的屋顶上。)

总体而言,由于2023年光电和风电装机的创纪录增长,光电和风电发电量占比已达到22%,并在3月实现了近90%的同比增长。非化石燃料发电量占比从去年的32.6%上升至36.2%。

2016-2024 年中国每月发电量同比变化(terawatt hours)。资料来源:根据国家能源局报告的容量和利用率计算的风能和太阳能发电量;其他来源来自国家统计局每月发布的数据;根据 WIND Information 报告的容量和利用率计算出按燃料划分的火力发电明细。Carbon Brief制图。
2016-2024 年中国每月发电量同比变化(terawatt hours)。资料来源:根据国家能源局报告的容量和利用率计算的风能和太阳能发电量;其他来源来自国家统计局每月发布的数据;根据 WIND Information 报告的容量和利用率计算出按燃料划分的火力发电明细。Carbon Brief制图。

分布式光伏对发电的贡献越来越大,但这在一定程度上被中国月度电力数据的报告方式所掩盖。国家统计局只发布大型光伏和风力发电站的月度发电量。它还系统性地上修了前几年的数据,这表明其没有实时捕捉新进入市场的企业的发电量。

由于去年创纪录的光伏新增装机容量中有45%是分布式发电,对小型光伏装机的排除对这些数字的影响比以往大得多。

这在中国和海外引起很多困惑,特别是报告的用电量数据远大于发电量数据,这显然是不可能的,彭博社甚至称其为“数据缺失问题”。

然而,用电量和规模以上工业发电量之间不断扩大的差距表明,分布式光伏在满足用电需求方面的贡献越来越大。

与月报数据不同,中国的年度统计公报中没有“缺失”的数据,因为年度统计包括所有电厂,无论其规模。例如,2023年的年度统计公报显示,光伏发电量是月度统计的两倍,风电发电量则多出了10%。

事实上,如果按照月度数据中的装机容量和利用小时数来计算发电量,得到的数据与年度报告数据非常接近。这清楚地表明,尽管统计局的月度数据中没有纳入分布式光伏的发电量,但其的确为满足电力需求做出重大贡献。

清洁能源热潮继续

去年光电和风电新增发电装机容量约300吉瓦(GW),这推动了3月份碳排放量的下降。这种热潮在2024年前三个月加速,与去年相比增长了40%。

太阳能发电新增装机容量46吉瓦,同比增长36%;风电新增装机容量16吉瓦,同比增长50%。

通常来说,第一季度的新增装机容量增速一般较低,而且由于报告滞后,相当多的新增装机在年底才被报告。

强劲的同比增长表明,对新项目能否成功并网的担忧并未影响新增装机容量增加的步伐。即便今年剩下时间里增速会有所放缓,但迄今为止的数据表明,去年创纪录的增速可能会在2024年持续。

今年1月至3月,太阳能电池板产量在去年的高基数上又增长了20%,表明中国和海外的需求强劲。

电动汽车产量增长了29%,汽车总产量恢复了下降趋势,这使得电动汽车占比持续快速攀升,在第一季度达到了31%,而去年同期为26%。

由于光电和风电项目的经济效益显著,对新增装机的主要限制来自并网。因担心无法消纳新增发电量,去年多个省级电网运营商已开始限制新增光电和风电项目。

这凸显了中国电网运营上的短板,因为风电和光电占中国总发电量的份额仍然有限,仅为15%。相比之下,两者在欧盟电力系统中的占比为27%,德国、西班牙和希腊达到40%。

中国已开始采取行动解决该问题。国家发改委已开始放宽光电和风电并网的要求。这将增加风光项目投资者的不确定性,但提高了电网运营商的消纳能力,从而支持发电装机和发电量的增长。

国家发改委还发布了一项推动储能发展的政策,承诺到2027年,电力系统将能够支撑新增风光装机容量,同时将因电网问题而浪费的发电量比例保持在较低水平。

虽然光电和风电已开始满足大部分或全部用电需求的增长,但煤电投资仍在继续。第一季度,火电装机的新增速度同比略有放缓,但各省2024年的“重点项目清单”中包括超过200吉瓦的火电项目,其主要是燃煤电厂。

未来仍充满变数

中国3月份碳排放量的下降可能标志着自2020年以来碳排放的强劲增长出现了转折点。正如 Carbon Brief 去年秋天发布的一篇分析所述,目前清洁能源的增长率有可能使该国提前实现碳达峰。

因此,清洁能源增长是否会持续,是影响中国未来排放路径的关键问题。但是,外界对于未来风电和光电的发展速度仍存在很大分歧。

中国光伏行业协会在其“保守”情景中预测,2024年至2030年间年均新增装机容量为225吉瓦,比2023年的217吉瓦略有增加。在“乐观”情景下,这一数字将加速至每年280吉瓦。根据该协会预测,中国的太阳能总装机容量将从目前的660吉瓦,到2030年增加到2200至2600吉瓦。

据风电行业数据,要实现2060年碳中和目标,中国需要在2021年至2025年间每年新增超过50吉瓦的风电装机。从2026年起,每年新增装机超过60吉瓦。这是一个相对适中的轨迹,因为2023年风电新增装机容量已经达到76吉瓦。

另一方面,国家能源局局长章建华在最近一篇文章中写道,清洁能源的新增装机容量应保持在每年100吉瓦以上,但这不到2023年实际水平的一半。这意味着他认为最近的加速增长是反常的,可能难以持续。

与之类似,在国家能源局2024年的工作计划中,从总发电装机容量和非化石能源发电容量占比,可以推算出非化石能源新增装机的目标在170吉瓦左右。(尽管2023年工作计划的目标是160吉瓦,但实际新增接近300吉瓦。)

下图展现了对于光电和风电发展的不同愿景。深蓝色线代表了章建华的预期,即年新增装机容量将回落到2020年至2022年水平;浅蓝色和红色线是可再生能源行业预测的增长趋势,其大致保持在2023年的水平,或稳步增长。

2020-2030 年风能和太阳能过去和未来年度新增容量(gigawatts)。国家能源局“100GW以上”目标用120GW/年(深蓝色线)表示。可再生能源行业预测及目标以浅蓝色和红色显示。资料来源:中国光伏行业协会、全球风能理事会、国家能源局2024 年工作计划,国家能源局局长章建华的文章。Carbon Brief 制图。
2020-2030 年风能和太阳能过去和未来年度新增容量(gigawatts)。国家能源局“100GW以上”目标用120GW/年(深蓝色线)表示。可再生能源行业预测及目标以浅蓝色和红色显示。资料来源:中国光伏行业协会、全球风能理事会、国家能源局2024 年工作计划,国家能源局局长章建华的文章。Carbon Brief 制图。

到2030年,光伏行业协会和国家能源局就光电和风电的装机目标差距为1400至1800吉瓦。如果新增的清洁能源发电量在2030年能够取代煤电,那么碳排放量将比当前水平下降10至15%。到2035年,随着风电和光电进一步发展,碳排放量将比当前水平下降20至25%。

章建华在文章中指出了一些挑战,以解释为何他认为清洁能源新增发电容量水平较低,包括储能价格机制尚未健全,能源转型政策合力亟待加强,以及集中连片新能源发展用地、用海空间不足等。

尽管如此,减缓光电、风电和相关储能的新增装机速度将给中国经济泼上一盆冷水,因为这些清洁能源行业已成为经济增长的一个关键来源。

此外,最近对这些行业生产能力的大量投资,只有在清洁能源设备需求持续增长的情况下才能得到利用和回报。

政府雄心的减弱也反映在今年设定的较为保守的官方目标上。根据环保部最近设定的目标,2024年碳强度(每单位GDP的排放量)的目标降幅为3.9%。

尽管这一目标超过过去三年碳强度年均仅下降1.5%的水平,但考虑到GDP增速目标是“约5%”,该碳强度目标实际将允许碳排放量增长逾1%。

在2021年至2023年碳排放量快速增加之后,中国已经严重偏离了2025年和2030年的碳强度目标,而2024年的年度目标未能缩小这一差距。

3.9%正是实现“十四五”规划中碳排放强度下降18%的目标所需的年均下降幅度。因此,该目标避免了落后幅度进一步扩大,但对弥补迄今为止的进展滞后毫无作用。

国家发改委还设定了一个相对保守的目标,即到2024年将“化石能源强度”降低2.5%,这将允许碳排放量增加2%以上。

章建华还认为,在2026至2030年期间,清洁能源应满足70%的能源消费增长,这一目标也与清洁能源新增装机容量放缓的趋势一致。

这意味着,能源消费增长的30%仍将通过增加化石燃料的使用来满足,因此CO2排放量也将继续增加。

持续增长的碳排放量意味着中国将面临无法实现2030年的碳强度承诺的风险,而这是中国在《巴黎协定》下提交的国际气候承诺的一部分。因为假设GDP年均增长5%或更低,根据这一承诺,从2023年到2030年,能源部门的CO2排放量没有增加的空间。

因此,中国能否实现其气候承诺,取决于清洁能源增长是否会继续显著超过中央政府制定的目标,亦或是这些目标在未来是否会提高。

数据来源

本分析数据来源于中国国家统计局、国家能源局、中国电力企业联合会、中国海关官方发布的数据以及行业数据提供商WIND资讯。

电力行业煤炭消费量是根据煤炭发电量和燃煤电厂每月平均发热量来估算的,以避免官方煤炭消费量影响近期数据的问题。煤炭发电量根据火力发电总量和燃煤、燃气、生物质电厂报告容量和利用小时数计算,以得到综合火力发电数据。

当数据来自多个来源时,本文交叉引用不同来源并尽可能使用官方来源,调整总消费数控,以匹配国家统计局报告的消费增长和能源结构变化。

2024年第一季度的数据进行了调整,以匹配国家统计局初步官方数据中报告的整个季度的同比增长率。但无论有没有这种调整,三月份排放量下降的结论都成立。

二氧化碳排放量估算基于国家统计局默认的 2018 年燃料热值和中国最新国家温室气体排放清单中的排放因素。水泥二氧化碳排放基于截至 2023 年的年度估算。

对于石油消耗量,表观消耗量是根据炼油厂吞吐量计算,减去石油产品的净出口量。

The post 分析:月度碳排放量下降或表明中国已在2023年碳达峰 appeared first on Carbon Brief.

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The 2026 budget test: Will Australia break free from fossil fuels?

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In 2026, the dangers of fossil fuel dependence have been laid bare like never before. The illegal invasion of Iran has brought pain and destruction to millions across the Middle East and triggered a global energy crisis impacting us all. Communities in the Pacific have been hit especially hard by rising fuel prices, and Australians have seen their cost-of-living woes deepen.

Such moments of crisis and upheaval can lead to positive transformation. But only when leaders act with courage and foresight.

There is no clearer statement of a government’s plans and priorities for the nation than its budget — how it plans to raise money, and what services, communities, and industries it will invest in.

As we count down the days to the 2026-27 Federal Budget, will the Albanese Government deliver a budget for our times? One that starts breaking the shackles of fossil fuels, accelerates the shift to clean energy, protects nature, and sees us work together with other countries towards a safer future for all? Or one that doubles down on coal and gas, locks in more climate chaos, and keeps us beholden to the whims of tyrants and billionaires.

Here’s what we think the moment demands, and what we’ll be looking out for when Treasurer Jim Chalmers steps up to the dispatch box on 12 May.

1. Stop fuelling the fire
2. Make big polluters pay
3. Support everyone to be part of the solution
4. Build the industries of the future
5. Build community resilience
6. Be a better neighbour
7. Protect nature

1. Stop fuelling the fire

Action Calls for a Transition Away From Fossil Fuels in Vanuatu. © Greenpeace
The community in Mele, Vanuatu sent a positive message ahead of the First Conference on Transitioning Away from Fossil Fuels. © Greenpeace

In mid-April, Pacific governments and civil society met to redouble their efforts towards a Fossil Fuel Free Pacific. Moving beyond coal, oil and gas is fundamental to limiting warming to 1.5°C — a survival line for vulnerable communities and ecosystems. And as our Head of Pacific, Shiva Gounden, explained, it is “also a path of liberation that frees us from expensive, extractive and polluting fossil fuel imports and uplifts our communities”.

Pacific countries are at the forefront of growing global momentum towards a just transition away from fossil fuels, and it is way past time for Australia to get with the program. It is no longer a question of whether fossil fuel extraction will end, but whether that end will be appropriately managed and see communities supported through the transition, or whether it will be chaotic and disruptive.

So will this budget support the transition away from fossil fuels, or will it continue to prop up coal and gas?

When it comes to sensible moves the government can make right now, one stands out as a genuine low hanging fruit. Mining companies get a full rebate of the excise (or tax) that the rest of us pay on diesel fuel. This lowers their operating costs and acts as a large, ongoing subsidy on fossil fuel production — to the tune of $11 billion a year!

Greenpeace has long called for coal and gas companies to be removed from this outdated scheme, and for the billions in savings to be used to support the clean energy transition and to assist communities with adapting to the impacts of climate change. Will we see the government finally make this long overdue change, or will it once again cave to the fossil fuel lobby?

2. Make big polluters pay

Activists Disrupt Major Gas Conference in Sydney. © Greenpeace
Greenpeace Australia Pacific activists disrupted the Australian Domestic Gas Outlook conference in Sydney with the message ‘Gas execs profit, we pay the price’. © Greenpeace

While our communities continue to suffer the escalating costs of climate-fuelled disasters, our Government continues to support a massive expansion of Australia’s export gas industry. Gas is a dangerous fossil fuel, with every tonne of Australian gas adding to the global heating that endangers us all.

Moreover, companies like Santos and Woodside pay very little tax for the privilege of digging up and selling Australians’ natural endowment of fossil gas. Remarkably, the Government currently raises more tax from beer than from the Petroleum Resource Rent Tax (PRRT) — the main tax on gas profits.

Momentum has been building to replace or supplement the PRRT with a 25% tax on gas exports. This could raise up to $17 billion a year — funds that, like savings from removing the diesel tax rebate for coal and gas companies, could be spent on supporting the clean energy transition and assisting communities with adapting to worsening fires, floods, heatwaves and other impacts of climate change.

As politicians arrive in Canberra for budget week, they will be confronted by billboards calling for a fair tax on gas exports. The push now has the support of dozens of organisations and a growing number of politicians. Let’s hope the Treasurer seizes this rare window for reform.

3. Support everyone to be part of the solution

As the price of petrol and diesel rises, electric vehicles (EVs) are helping people cut fuel use and save money. However, while EV sales have jumped since the invasion of Iran sent fuel prices rising, they still only make up a fraction of total new car sales. This budget should help more Australians switch to electric vehicles and, even more importantly, enable more Australians to get around by bike, on foot, and on public transport. This means maintaining the EV discount, investing in public and active transport, and removing tax breaks for fuel-hungry utes and vans.

Millions of Australians already enjoy the cost-saving benefits of rooftop solar, batteries, and getting off gas. This budget should enable more households, and in particular those on lower incomes, to access these benefits. This means maintaining the Cheaper Home Batteries Program, and building on the Household Energy Upgrades Fund.

4. Build the industries of the future

Protest of Woodside and Drill Rig Valaris at Scarborough Gas Field in Western Australia. © Greenpeace / Jimmy Emms
Crew aboard Greenpeace Australia Pacific’s campaigning vessel the Oceania conducted a peaceful banner protest at the site of the Valaris DPS-1, the drill rig commissioned to build Woodside’s destructive Burrup Hub. © Greenpeace / Jimmy Emms

If we’re to transition away from fossil fuels, we need to be building the clean industries of the future.

No state is more pivotal to Australia’s energy and industrial transformation than Western Australia. The state has unrivaled potential for renewable energy development and for replacing fossil fuel exports with clean exports like green iron. Such industries offer Western Australia the promise of a vibrant economic future, and for Australia to play an outsized positive role in the world’s efforts to reduce emissions.

However, realising this potential will require focussed support from the Federal Government. Among other measures, Greenpeace has recommended establishing the Australasian Green Iron Corporation as a joint venture between the Australian and Western Australian governments, a key trading partner, a major iron ore miner and steel makers. This would unite these central players around the complex task of building a large-scale green iron industry, and unleash Western Australia’s potential as a green industrial powerhouse.

5. Build community resilience

Believe it or not, our Government continues to spend far more on subsidising fossil fuel production — and on clearing up after climate-fuelled disasters — than it does on helping communities and industries reduce disaster costs through practical, proven methods for building their resilience.

Last year, the Government estimated that the cost of recovery from disasters like the devastating 2022 east coast floods on 2019-20 fires will rise to $13.5 billion. For contrast, the Government’s Disaster Ready Fund – the main national source of funding for disaster resilience – invests just $200 million a year in grants to support disaster preparedness and resilience building. This is despite the Government’s own National Emergency Management Agency (NEMA) estimating that for every dollar spent on disaster risk reduction, there is a $9.60 return on investment.

By redirecting funds currently spent on subsidising fossil fuel production, the Government can both stop incentivising climate destruction in the first place, and ensure that Australian communities and industries are better protected from worsening climate extremes.

No communities have more to lose from climate damage, or carry more knowledge of practical solutions, than Aboriginal and Torres Strait Islander peoples. The budget should include a dedicated First Nations climate adaptation fund, ensuring First Nations communities can develop solutions on their own terms, and access the support they need with adapting to extreme heat, coastal erosion and other escalating challenges.

6. Be a better neighbour

The global response to climate change depends on the adequate flow of support from developed economies like Australia to lower income nations with shifting to clean energy, adapting to the impacts of climate change, and addressing loss and damage.

Such support is vital to building trust and cooperation, reducing global emissions, and supporting regional and global security by enabling countries to transition away from fossil fuels and build greater resilience.

Despite its central leadership role in this year’s global climate negotiations, our Government is yet to announce its contribution to international climate finance for 2025-2030. Greenpeace recommends a commitment of $11 billion for this five year period, which is aligned with the global goal under the Paris Agreement to triple international climate finance from current levels.
This new commitment should include additional funding to address loss and damage from climate change and a substantial contribution to the Pacific Resilience Facility, ensuring support is accessible to countries and communities that need it most. It should also see Australia get firmly behind the vision of a Fossil Fuel Free Pacific.

7. Protect nature

Rainforest in Tasmania. © Markus Mauthe / Greenpeace
Rainforest of north west Tasmania in the Takayna (Tarkine) region. © Markus Mauthe / Greenpeace

There is no safe planet without protection of the ecosystems and biodiversity that sustain us and regulate our climate.

Last year the Parliament passed important and long overdue reforms to our national environment laws to ensure better protection for our forests and other critical ecosystems. However, the Government will need to provide sufficient funding to ensure the effective implementation of these reforms.

Greenpeace has recommended $500 million over four years to establish the National Environment Agency — the body responsible for enforcing and monitoring the new laws — and a further $50 million to Environment Information Australia for providing critical information and tools.

Further resourcing will also be required to fulfil the crucial goal of fully protecting 30% of Australian land and seas by 2030. This should include $1 billion towards ending deforestation by enabling farmers and loggers to retool away from destructive practices, $2 billion a year for restoring degraded lands, $5 billion for purchasing and creating new protected areas, and $200 million for expanding domestic and international marine protected areas.

Conclusion

This is not the first time that conflict overseas has triggered an energy crisis, or that a budget has been preceded by a summer of extreme weather disasters, highlighting the urgent need to phase out fossil fuels. What’s different in 2026 is the availability of solutions. Renewable energy is now cheaper and more accessible than ever before. Global momentum is firmly behind the transition away from fossil fuels. The Albanese Government, with its overwhelming majority, has the chance to set our nation up for the future, or keep us stranded in the past. Let’s hope it makes some smart choices.

The 2026 budget test: Will Australia break free from fossil fuels?

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What fossil fuels really cost us in a world at war

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Anne Jellema is Executive Director of 350.org.

The war on Iran and Lebanon is a deeply unjust and devastating conflict, killing civilians at home, destroying lives, and at the same time sending shockwaves through the global economy. We, at 350.org, have calculated, drawing on price forecasts from the International Monetary Fund (IMF) and Goldman Sachs, just how much that volatility is costing us. 

Even under the IMF’s baseline scenario – a de facto “best case” scenario with a near-term end to the war and related supply chain disruptions – oil and gas price spikes are projected to cost households and businesses globally more than $600 billion by the end of the year. Under the IMF’s “adverse scenario”, with prolonged conflict and sustained price pressures, we estimate those additional costs could exceed $1 trillion, even after accounting for reduced demand.

Which is why we urgently need a power shift. Governments are under growing pressure to respond to rising fuel and food costs and deepening energy poverty. And it’s becoming clearer to both voters and elected officials that fossil dependence is not only expensive and risky, but unnecessary. 

People who can are voting with their wallets: sales of solar panels and electric vehicles are increasing sharply in many countries. But the working people who have nothing to spare, ironically, are the ones stuck with using oil and gas that is either exorbitantly expensive or simply impossible to get.

Drain on households and economies

In India, street food vendors can’t get cooking gas and in the Philippines, fishermen can’t afford to take their boats to sea. A quarter of British people say that rising energy tariffs will leave them completely unable to pay their bills. This is the moment for a global push to bring abundant and affordable clean energy to all.

In April, we released Out of Pocket, our new research report on how fossil fuels are draining households and economies. We were surprised by the scale of what we found. For decades, governments have reassured people that energy price spikes are unfortunate but unavoidable – the result of distant conflicts, market forces or geopolitical shocks beyond anyone’s control. But the numbers tell a different story. 

    What we are living through today is not an energy crisis. It is a fossil fuel crisis. In just the first 50 days of the Middle East conflict, soaring oil and gas prices have siphoned an estimated $158 billion–$166 billion from households and businesses worldwide. That is money extracted directly from people’s pockets and transferred, almost instantly, into fossil fuel company balance sheets. And this figure only captures the immediate impact of price spikes, not the permanent economic drain of fossil dependence. Fossil fuels don’t just cost us once, they cost us over and over again.

    First, through our bills. Every time there is a war, an embargo or a supply disruption, fossil fuel prices surge. For ordinary people, this means higher costs for energy, transport and food. Many Global South countries have little or no fiscal space to buffer the shock; instead, workers and families pay the price.

    Second, through our taxes. Governments around the world continue to pour vast sums of public money into fossil fuel subsidies. These are often justified as a way to protect the most vulnerable at the petrol pump or in their homes. But in reality, the benefits are overwhelmingly captured by wealthier households and corporations. The poorest 20% receive just a fraction of this support, while public finances are drained.

    Third, through climate impacts. New research across more than 24,000 global locations gives a granular account of the true costs of extreme heat, sea level rise and falling agricultural yields. Using this data to update IMF modelling of the social cost of carbon, we found that fossil fuel impacts on health and livelihoods amount to over $9 trillion a year. This is the biggest subsidy of all, because these massive and mounting costs are not charged to Big Oil – they are paid for by governments and households, with the poorest shouldering the lion’s share. 

    Massive transfer of wealth to fossil fuel industry

    Adding up direct subsidies, tax breaks and the unpaid bill for climate damages, the total transfer of wealth from the public to the fossil fuel industry amounts to $12 trillion even in a “normal” year without a global oil shock. That’s more than 50% higher than the IMF has previously estimated, and equivalent to a staggering $23 million a minute.

    The fossil fuel industry has become extraordinarily adept at profiting from instability. When conflict drives up prices, companies do not lose, they gain. In the current crisis, oil producers and commodity traders are on track to secure tens of billions of dollars in additional windfall profits, even as households face rising bills and governments struggle to manage the fallout.

    Fossil fuel crisis offers chance to speed up energy transition, ministers say

    This growing disconnect is impossible to ignore. Investors are advised to buy into fossil fuel firms precisely because of their ability to generate profits in times of crisis. Meanwhile, ordinary people are told to tighten their belts.

    In 2026, unlike during the oil shocks of the 1970s, clean energy is no longer a distant alternative. Now, even more than when gas prices spiked due to Russia’s invasion of Ukraine in 2022, renewables are often the cheapest option available. Solar and wind can be deployed quickly, at scale, and without the volatility that defines fossil fuel markets.

    How to transition from dirty to clean energy

    The solutions are clear. Governments must implement permanent windfall taxes on fossil fuel companies to ensure that extraordinary profits generated during crises are redirected to support households. These revenues can be used to reduce energy bills, invest in public services, and accelerate the rollout of clean energy.

    Second, we must shift subsidies away from fossil fuels and towards renewable solutions, particularly those that can be deployed quickly and equitably, such as rooftop and community solar. This is not just about cutting emissions. It is about building a more stable, fair and resilient energy system.

    Finally, we need binding plans to phase out fossil fuels altogether, replacing them with homegrown renewable energy that can shield economies from future shocks. Because what the current crisis has made clear is this: as long as we remain dependent on fossil fuels, we remain vulnerable – to conflict, to price volatility and to the escalating impacts of climate change.

    The true price of fossil fuels is no longer hidden. It is visible in rising bills, strained public finances and communities pushed to the brink. And it is being paid, every day, by ordinary people around the world.

    It’s time for the great power shift

    Full details on the methodology used for this report are available here.

    The Great Power Shift is a new campaign by 350.org global campaign to pressure governments to bring down energy bills for good by ending fossil fuel dependence and investing in clean, affordable energy for all

    Logo of 350.org campaign on “The Great Power Shift”

    Logo of 350.org campaign on “The Great Power Shift”

    The post What fossil fuels really cost us in a world at war appeared first on Climate Home News.

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    Traditional models still ‘outperform AI’ for extreme weather forecasts

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    Computer models that use artificial intelligence (AI) cannot forecast record-breaking weather as well as traditional climate models, according to a new study.

    It is well established that AI climate models have surpassed traditional, physics-based climate models for some aspects of weather forecasting.

    However, new research published in Science Advances finds that AI models still “underperform” in forecasting record-breaking extreme weather events.

    The authors tested how well both AI and traditional weather models could simulate thousands of record-breaking hot, cold and windy events that were recorded in 2018 and 2020.

    They find that AI models underestimate both the frequency and intensity of record-breaking events.

    A study author tells Carbon Brief that the analysis is a “warning shot” against replacing traditional models with AI models for weather forecasting “too quickly”.

    AI weather forecasts

    Extreme weather events, such as floods, heatwaves and storms, drive hundreds of billions of dollars in damages every year through the destruction of cropland, impacts on infrastructure and the loss of human life.

    Many governments have developed early warning systems to prepare the general public and mobilise disaster response teams for imminent extreme weather events. These systems have been shown to minimise damages and save lives.

    For decades, scientists have used numerical weather prediction models to simulate the weather days, or weeks, in advance.

    These models rely on a series of complex equations that reproduce processes in the atmosphere and ocean. The equations are rooted in fundamental laws of physics, based on decades of research by climate scientists. As a result, these models are referred to as “physics-based” models.

    However, AI-based climate models are gaining popularity as an alternative for weather forecasting.

    Instead of using physics, these models use a statistical approach. Scientists present AI models with a large batch of historical weather data, known as training data, which teaches the model to recognise patterns and make predictions.

    To produce a new forecast, the AI model draws on this bank of knowledge and follows the patterns that it knows.

    There are many advantages to AI weather forecasts. For example, they use less computing power than physics-based models, because they do not have to run thousands of mathematical equations.

    Furthermore, many AI models have been found to perform better than traditional physics-based models at weather forecasts.

    However, these models also have drawbacks.

    Study author Prof Sebastian Engelke, a professor at the research institute for statistics and information science at the University of Geneva, tells Carbon Brief that AI models “depend strongly on the training data” and are “relatively constrained to the range of this dataset”.

    In other words, AI models struggle to simulate brand new weather patterns, instead tending forecast events of a similar strength to those seen before. As a result, it is unclear whether AI models can simulate unprecedented, record-breaking extreme events that, by definition, have never been seen before.

    Record-breaking extremes

    Extreme weather events are becoming more intense and frequent as the climate warms. Record-shattering extremes – those that break existing records by large margins – are also becoming more regular.

    For example, during a 2021 heatwave in north-western US and Canada, local temperature records were broken by up to 5C. According to one study, the heatwave would have been “impossible” without human-caused climate change.

    The new study explores how accurately AI and physics-based models can forecast such record-breaking extremes.

    First, the authors identified every heat, cold and wind event in 2018 and 2020 that broke a record previously set between 1979 and 2017. (They chose these years due to data availability.) The authors use ERA5 reanalysis data to identify these records.

    This produced a large sample size of record-breaking events. For the year 2020, the authors identified around 160,000 heat, 33,000 cold and 53,000 wind records, spread across different seasons and world regions.

    For their traditional, physics-based model, the authors selected the High RESolution forecast model from the Integrated Forecasting System of the European Centre for Medium-­Range Weather Forecasts. This is “widely considered as the leading physics-­based numerical weather prediction model”, according to the paper.

    They also selected three “leading” AI weather models – the GraphCast model from Google Deepmind, Pangu-­Weather developed by Huawei Cloud and the Fuxi model, developed by a team from Shanghai.

    The authors then assessed how accurately each model could forecast the extremes observed in the year 2020.

    Dr Zhongwei Zhang is the lead author on the study and a researcher at Karlsruhe Institute of Technology. He tells Carbon Brief that many AI weather forecast models were built for “general weather conditions”, as they use all historical weather data to train the models. Meanwhile, forecasting extremes is considered a “secondary task” by the models.

    The authors explored a range of different “lead times” – in other words, how far into the future the model is forecasting. For example, a lead time of two days could mean the model uses the weather conditions at midnight on 1 January to simulate weather conditions at midnight on 3 January.

    The plot below shows how accurately the models forecasted all extreme events (left) and heat extremes (right) under different lead times. This is measured using “root mean square error” – a metric of how accurate a model is, where a lower value indicates lower error and higher accuracy.

    The chart on the left shows how two of the AI models (blue and green) performed better than the physics-based model (black) when forecasting all weather across the year 2020.

    However, the chart on the right illustrates how the physics-based model (black) performed better than all three AI models (blue, red and green) when it came to forecasting heat extremes.

    Accuracy of the AI models
    Accuracy of the AI models (blue, red and green) and the physics-based model (black) at forecasting all weather over 2020 (left) and heat extremes (right) over a range of lead times. This is measured using “root mean square error” (RMSE) – a metric of how accurate a model is, where a lower value indicates lower error and higher accuracy. Source: Zhang et al (2026).

    The authors note that the performance gap between AI and physics-based models is widest for lower lead times, indicating that AI models have greater difficulty making predictions in the near future.

    They find similar results for cold and wind records.

    In addition, the authors find that AI models generally “underpredict” temperature during heat records and “overpredict” during cold records.

    The study finds that the larger the margin that the record is broken by, the less well the AI model predicts the intensity of the event.

    ‘Warning shot’

    Study author Prof Erich Fischer is a climate scientist at ETH Zurich and a Carbon Brief contributing editor. He tells Carbon Brief that the result is “not unexpected”.

    He adds that the analysis is a “warning shot” against replacing traditional models with AI models for weather forecasting “too quickly”.

    The analysis, he continues, is a “warning shot” against replacing traditional models with AI models for weather forecasting “too quickly”.

    AI models are likely to continue to improve, but scientists should “not yet” fully replace traditional forecasting models with AI ones, according to Fischer.

    He explains that accurate forecasts are “most needed” in the runup to potential record-breaking extremes, because they are the trigger for early warning systems that help minimise damages caused by extreme weather.

    Leonardo Olivetti is a PhD student at Uppsala University, who has published work on AI weather forecasting and was not involved in the study.

    He tells Carbon Brief that “many other studies” have identified issues with using AI models for “extremes”, but this paper is novel for its specific focus on extremes.

    Olivetti notes that AI models are already used alongside physics-based models at “some of the major weather forecasting centres around the world”. However, the study results suggest “caution against relying too heavily on these [AI] models”, he says.

    Prof Martin Schultz, a professor in computational earth system science at the University of Cologne who was not involved in the study, tells Carbon Brief that the results of the analysis are “very interesting, but not too surprising”.

    He adds that the study “justifies the continued use of classical numerical weather models in operational forecasts, in spite of their tremendous computational costs”.

    Advances in forecasting

    The field of AI weather forecasting is evolving rapidly.

    Olivetti notes that the three AI models tested in the study are an “older generation” of AI models. In the last two years, newer “probabilistic” forecast models have emerged that “claim to better capture extremes”, he explains.

    The three AI models used in the analysis are “deterministic”, meaning that they only simulate one possible future outcome.

    In contrast, study author Engelke tells Carbon Brief that probabilistic models “create several possible future states of the weather” and are therefore more likely to capture record-breaking extremes.

    Engelke says it is “important” to evaluate the newer generation of models for their ability to forecast weather extremes.

    He adds that this paper has set out a “protocol” for testing the ability of AI models to predict unprecedented extreme events, which he hopes other researchers will go on to use.

    The study says that another “promising direction” for future research is to develop models that combine aspects of traditional, physics-based weather forecasts with AI models.

    Engelke says this approach would be “best of both worlds”, as it would combine the ability of physics-based models to simulate record-breaking weather with the computational efficiency of AI models.

    Dr Kyle Hilburn, a research scientist at Colorado State University, notes that the study does not address extreme rainfall, which he says “presents challenges for both modelling and observing”. This, he says, is an “important” area for future research.

    The post Traditional models still ‘outperform AI’ for extreme weather forecasts appeared first on Carbon Brief.

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