Same fields for every region每个地区用同一套字段
Build scale, power, water, efficiency rules, main policies and climate, each as a status tag, so regions can be compared field by field without a combined score.建设规模、电力、水、能效要求、主要政策和气候,各用一个状态标签;地区之间逐项比较,不做综合评分。
Countries and regions国家与地区
Where can AI data centres be built, and how do power, water, rules and climate shape the cooling?在哪里建得起来?电、水、规则和气候怎样影响热管理选择?
In mainland China, it is where and how efficiently you may build. Six regions set a PUE requirement or target of 1.2–1.4.中国大陆则是建在哪里、按多高能效建。六个地区设有 1.2–1.4 的 PUE 要求或目标。
Ten regions chosen by the owner, each with a country page; climate from hourly observations 2020–2024站长选定的十个地区,每个都有国家页;气候来自 2020–2024 年逐时观测Our reading of the sourced rules本站对有来源规则的解读
China (mainland)中国大陆● Country page live国家页已上线
PUE requirement or targetPUE 要求或目标≤ 1.2≤ 1.2 Action-plan rule, national hub-node projects行动计划要求,国家枢纽节点项目
Power build-out电力建设规模≈19 GW约 19 GW average load of computing centres in 2025 (170 TWh ÷ 8,760 h; NEA data, this site's conversion)2025 年算力中心平均负荷(1,700 亿千瓦时 ÷ 8,760 小时;国家能源局数据,本站换算) Actual use, converted to average load实际用电,换算为平均负荷
Biggest constraint最大约束Location and PUE rules: 选址与能效规则:new large sites go first to eight hub nodes, held to PUE 1.2新建大型项目优先进 8 个枢纽节点,PUE 不得高于 1.2 Second: electricity price, Beijing surcharges existing sites above PUE 1.35 from 2026其次:电价,北京自 2026 年起对 PUE 高于 1.35 的存量数据中心加价 Our reading of the sourced rules本站对有来源规则的解读
27 sourced facts · 3 projects有来源事实 27 条 · 项目 3 个
Taiwan台湾● Country page live国家页已上线
PUE requirement or targetPUE 要求或目标≤ 1.3 / ≤ 1.4≤ 1.3 / ≤ 1.4 Rule, new builds of 5 MW or more; 1.3 hyperscale, 1.4 colocation规定,5 MW 以上新建;超大型 1.3,主机代管 1.4
Power build-out电力建设规模303.5 MW303.5 MW contract capacity at four energised transmission-level data centres (Taipower statistics as reported by the press, December 2025)4 座已送电输电级数据中心的契约容量(媒体转述的台电统计,2025 年 12 月) Contracted; 4.76 GW applied for已签约;另有 4.76 GW 申请
Biggest constraint最大约束Power: 电力:Taipower holds back loads of 5 MW or more north of Taoyuan台电暂缓桃园以北 5 MW 以上用电 Second: own power and green power, users of 5 MW or more owe a 10% renewable duty; new large users must add own generation or storage (law passed August 2026, thresholds pending)其次:自备电源与绿电,5 MW 以上用户须承担 10% 再生能源义务;新设大用户须自备发电或储能(2026 年 8 月修法通过,门槛待定) Our reading of the sourced rules本站对有来源规则的解读
28 sourced facts · 6 projects有来源事实 28 条 · 项目 6 个
South Korea韩国● Country page live国家页已上线
PUE requirement or targetPUE 要求或目标None found未找到 Voluntary certification only仅有自愿性认证
Power build-out电力建设规模6.2 GW6.2 GW data-centre peak demand in 2038, 11th Basic Plan (operating sites drew 1,762 MW in 2022)第 11 次基本计划预计的 2038 年数据中心峰值需求(2022 年运营站点 1,762 MW) Forecast, peak demand预测,峰值需求
Biggest constraint最大约束Power: 电力:any load of 10 MW or more needs a grid assessment用电 10 MW 及以上须先过电网评估 Second: water, no data-centre water rule found; operators report their own WUE其次:水,未找到数据中心用水规则;运营方自报 WUE Our reading of the sourced rules本站对有来源规则的解读
26 sourced facts · 5 projects有来源事实 26 条 · 项目 5 个
Japan日本● Country page live国家页已上线
PUE requirement or targetPUE 要求或目标≤ 1.3≤ 1.3 Law, new builds from FY2029法定,2029 财年起新建
Power build-out电力建设规模+6.6 GW+6.6 GW grid demand added by FY2035 (OCCTO, January 2026)到 2035 财年新增的电网需求(OCCTO,2026 年 1 月) Forecast预测
Biggest constraint最大约束Power: 电力:grid connection can take ten years or more in some cases并网在部分情况下可能需要十年以上 Second: land and water, hub criteria include industrial water and 30 ha or more of industrial land其次:土地和水,枢纽选址标准包括工业用水和 30 公顷以上产业用地 Our reading of the sourced rules本站对有来源规则的解读
26 sourced facts · 6 projects有来源事实 26 条 · 项目 6 个
Malaysia马来西亚● Country page live国家页已上线
PUE requirement or targetPUE 要求或目标1.41.4 Design target, tax-incentive condition设计目标,税收优惠条件
Power build-out电力建设规模8.35 GW8.35 GW secured by TNB (61 projects), June 2026TNB 已锁定(61 个项目),2026 年 6 月 Secured pipeline, maximum demand已锁定管线,最大需求
Biggest constraint最大约束Power: 电力:in Johor, TNB must approve the supply first在柔佛须先获 TNB 批准供电 Second: water, new sites should avoid water-stressed areas其次:水,新站点应避开缺水地区 Our reading of the sourced rules本站对有来源规则的解读
11 sourced facts · 6 projects有来源事实 11 条 · 项目 6 个
Singapore新加坡● Country page live国家页已上线
PUE requirement or targetPUE 要求或目标1.251.25 Call condition征集条件
Power build-out电力建设规模1.6 GW1.6 GW maximum IT load of all data centres, October 2026全部数据中心最大 IT 负荷,2026 年 10 月 Includes the 200 MW awarded in 2026含 2026 年分配的 200 MW
Biggest constraint最大约束Power: 电力:new capacity comes mainly through government calls新增容量主要通过政府征集分配 Second: land, all 2026 awards are on Jurong Island (our observation)其次:土地,2026 年分配全部位于裕廊岛(本站观察) Our reading of the sourced rules本站对有来源规则的解读
32 sourced facts · 5 projects有来源事实 32 条 · 项目 5 个
Indonesia印度尼西亚● Country page live国家页已上线
PUE requirement or targetPUE 要求或目标None found未找到 No rule found in the sources read here所读来源中未找到规则
Power build-out电力建设规模5.2 GW5.2 GW expected data-centre power demand in 2034 (energy ministry, from 1.1 GW in 2025)能源部预计的 2034 年数据中心用电需求(2025 年为 1.1 GW) Forecast, electricity demand (ESDM, as reported)预测,用电需求(ESDM,经媒体报道)
Biggest constraint最大约束Power: 电力:a 1 GW order needs a 500 kV line and 3-5 years1 GW 订单需 500 kV 线路和 3-5 年 Second: water, a 640 MW project at Jatiluhur is halted pending permits, with water use in focus其次:水,Jatiluhur 的 640 MW 项目因许可未发停工,用水受到关注 Our reading of the sourced rules本站对有来源规则的解读
27 sourced facts · 4 projects有来源事实 27 条 · 项目 4 个
Australia澳大利亚● Country page live国家页已上线
PUE requirement or targetPUE 要求或目标1.251.25 NSW guideline新州指引
Power build-out电力建设规模67.1 GW67.1 GW at all stages advised to AEMO, March 2026向 AEMO 报送的各阶段容量,2026 年 3 月 Mostly proposed or at enquiry大部分处于提议或咨询阶段
Biggest constraint最大约束Power: 电力:new large sites must underwrite new supply (announced)新建大型站点须为新增电源提供担保(已宣布) Second: water, NSW and Victoria push cooling to recycled water其次:水,新州和维州推动冷却改用再生水 Our reading of the sourced rules本站对有来源规则的解读
18 sourced facts · 4 projects有来源事实 18 条 · 项目 4 个
New Zealand新西兰● Country page live国家页已上线
PUE requirement or targetPUE 要求或目标None found未找到 No PUE rule in the sources read here; sector average about 1.3 (NZTech)所读来源中未找到 PUE 规则;行业平均约 1.3(NZTech)
Power build-out电力建设规模104 MW104 MW deployed capacity in 2025 (NZTech estimate); baseline forecast 315 MW by 20302025 年已部署容量(NZTech 估计);基线预测 2030 年 315 MW Industry estimate, deployed capacity行业估计,已部署容量
Biggest constraint最大约束Power: 电力:large-load connection rules and added generation expected (announced)大负荷并网规则和新增发电要求将出台(已宣布) Second: water, Datagrid's consents allow over 600,000 L a day of groundwater其次:水,Datagrid 的许可允许每天取用逾 60 万升地下水 Our reading of the sourced rules本站对有来源规则的解读
21 sourced facts · 5 projects有来源事实 21 条 · 项目 5 个
United States美国● Country page live国家页已上线
PUE requirement or targetPUE 要求或目标No federal limit无联邦上限 LBNL average 1.4 in 2023 (estimate)LBNL 估计 2023 年平均 1.4
Power build-out电力建设规模~50 GW约 50 GW added electricity use by 2030, DOE planning midpoint到 2030 年新增用电,美国能源部规划中值 Planning assumption规划假设
Biggest constraint最大约束Power: 电力:large loads must clear grid processes such as ERCOT's大负荷须走 ERCOT 等电网接入流程 Second: water, California makes new sites disclose water use (signed 2026-09)其次:水,加州要求拟建站点披露用水(2026-09 签署) Our reading of the sourced rules本站对有来源规则的解读
13 sourced facts · 10 projects有来源事实 13 条 · 项目 10 个
| Region地区 | Status状态 | PUE requirement or targetPUE 要求或目标 | Power build-out电力建设规模 | Biggest constraint (our reading)最大约束(本站解读) | Monthly-report policy records月报政策记录 | Monthly-report projects月报项目 | Monthly-report investment records月报投资记录 |
|---|---|---|---|---|---|---|---|
| 1. China (mainland)中国大陆 | Country page live国家页已上线 | ≤ 1.2 (Action-plan rule, national hub-node projects)≤ 1.2(行动计划要求,国家枢纽节点项目) source来源 | ≈19 GW, average load of computing centres in 2025 (170 TWh ÷ 8,760 h; NEA data, this site's conversion) (Actual use, converted to average load)约 19 GW,2025 年算力中心平均负荷(1,700 亿千瓦时 ÷ 8,760 小时;国家能源局数据,本站换算)(实际用电,换算为平均负荷) source来源 source来源 | Location and PUE rules: new large sites go first to eight hub nodes, held to PUE 1.2; next: electricity price选址与能效规则:新建大型项目优先进 8 个枢纽节点,PUE 不得高于 1.2;其次:电价 source来源 source来源 source来源 source来源 | 5 | 0 | 1 |
| 2. Taiwan台湾 | Country page live国家页已上线 | ≤ 1.3 / ≤ 1.4 (Rule, new builds of 5 MW or more; 1.3 hyperscale, 1.4 colocation)≤ 1.3 / ≤ 1.4(规定,5 MW 以上新建;超大型 1.3,主机代管 1.4) source来源 source来源 source来源 | 303.5 MW, contract capacity at four energised transmission-level data centres (Taipower statistics as reported by the press, December 2025) (Contracted; 4.76 GW applied for)303.5 MW,4 座已送电输电级数据中心的契约容量(媒体转述的台电统计,2025 年 12 月)(已签约;另有 4.76 GW 申请) source来源 | Power: Taipower holds back loads of 5 MW or more north of Taoyuan; next: own power and green power电力:台电暂缓桃园以北 5 MW 以上用电;其次:自备电源与绿电 source来源 source来源 source来源 | 0 | 0 | 0 |
| 3. South Korea韩国 | Country page live国家页已上线 | None found (Voluntary certification only)未找到(仅有自愿性认证) source来源 | 6.2 GW, data-centre peak demand in 2038, 11th Basic Plan (operating sites drew 1,762 MW in 2022) (Forecast, peak demand)6.2 GW,第 11 次基本计划预计的 2038 年数据中心峰值需求(2022 年运营站点 1,762 MW)(预测,峰值需求) source来源 source来源 source来源 | Power: any load of 10 MW or more needs a grid assessment; next: water电力:用电 10 MW 及以上须先过电网评估;其次:水 source来源 source来源 source来源 source来源 | 2 | 0 | 0 |
| 4. Japan日本 | Country page live国家页已上线 | ≤ 1.3 (Law, new builds from FY2029)≤ 1.3(法定,2029 财年起新建) source来源 | +6.6 GW, grid demand added by FY2035 (OCCTO, January 2026) (Forecast)+6.6 GW,到 2035 财年新增的电网需求(OCCTO,2026 年 1 月)(预测) source来源 | Power: grid connection can take ten years or more in some cases; next: land and water电力:并网在部分情况下可能需要十年以上;其次:土地和水 source来源 source来源 source来源 | 2 | 7 | 8 |
| 5. Malaysia马来西亚 | Country page live国家页已上线 | 1.4 (Design target, tax-incentive condition)1.4(设计目标,税收优惠条件) source来源 | 8.35 GW, secured by TNB (61 projects), June 2026 (Secured pipeline, maximum demand)8.35 GW,TNB 已锁定(61 个项目),2026 年 6 月(已锁定管线,最大需求) source来源 | Power: in Johor, TNB must approve the supply first; next: water电力:在柔佛须先获 TNB 批准供电;其次:水 source来源 source来源 | 2 | 6 | 7 |
| 6. Singapore新加坡 | Country page live国家页已上线 | 1.25 (Call condition)1.25(征集条件) source来源 | 1.6 GW, maximum IT load of all data centres, October 2026 (Includes the 200 MW awarded in 2026)1.6 GW,全部数据中心最大 IT 负荷,2026 年 10 月(含 2026 年分配的 200 MW) source来源 | Power: new capacity comes mainly through government calls; next: land电力:新增容量主要通过政府征集分配;其次:土地 source来源 source来源 | 3 | 2 | 2 |
| 7. Indonesia印度尼西亚 | Country page live国家页已上线 | None found (No rule found in the sources read here)未找到(所读来源中未找到规则) source来源 source来源 | 5.2 GW, expected data-centre power demand in 2034 (energy ministry, from 1.1 GW in 2025) (Forecast, electricity demand (ESDM, as reported))5.2 GW,能源部预计的 2034 年数据中心用电需求(2025 年为 1.1 GW)(预测,用电需求(ESDM,经媒体报道)) source来源 | Power: a 1 GW order needs a 500 kV line and 3-5 years; next: water电力:1 GW 订单需 500 kV 线路和 3-5 年;其次:水 source来源 source来源 | 1 | 3 | 4 |
| 8. Australia澳大利亚 | Country page live国家页已上线 | 1.25 (NSW guideline)1.25(新州指引) source来源 | 67.1 GW, at all stages advised to AEMO, March 2026 (Mostly proposed or at enquiry)67.1 GW,向 AEMO 报送的各阶段容量,2026 年 3 月(大部分处于提议或咨询阶段) source来源 | Power: new large sites must underwrite new supply (announced); next: water电力:新建大型站点须为新增电源提供担保(已宣布);其次:水 source来源 source来源 source来源 source来源 | 4 | 4 | 5 |
| 9. New Zealand新西兰 | Country page live国家页已上线 | None found (No PUE rule in the sources read here; sector average about 1.3 (NZTech))未找到(所读来源中未找到 PUE 规则;行业平均约 1.3(NZTech)) source来源 | 104 MW, deployed capacity in 2025 (NZTech estimate); baseline forecast 315 MW by 2030 (Industry estimate, deployed capacity)104 MW,2025 年已部署容量(NZTech 估计);基线预测 2030 年 315 MW(行业估计,已部署容量) source来源 source来源 | Power: large-load connection rules and added generation expected (announced); next: water电力:大负荷并网规则和新增发电要求将出台(已宣布);其次:水 source来源 source来源 source来源 | 0 | 1 | 1 |
| 10. United States美国 | Country page live国家页已上线 | No federal limit (LBNL average 1.4 in 2023 (estimate))无联邦上限(LBNL 估计 2023 年平均 1.4) source来源 source来源 | ~50 GW, added electricity use by 2030, DOE planning midpoint (Planning assumption)约 50 GW,到 2030 年新增用电,美国能源部规划中值(规划假设) source来源 | Power: large loads must clear grid processes such as ERCOT's; next: water电力:大负荷须走 ERCOT 等电网接入流程;其次:水 source来源 source来源 source来源 source来源 | 6 | 22 | 32 |
Every region has a country page. Singapore and Taiwan are drawn as dots. Select a number or a card to highlight both.每个地区都有国家页。新加坡和台湾以圆点表示。选择编号或卡片可同时高亮两者。
Regions in scope: United States, Australia, New Zealand, Malaysia, Singapore, Indonesia, Japan, Taiwan, South Korea, China mainland覆盖范围:美国、澳大利亚、新西兰、马来西亚、新加坡、印度尼西亚、日本、台湾、韩国、中国大陆
Monthly-report policy records placed on a country or state; Taiwan and New Zealand have none yet已归位到国家或州的月报政策记录;台湾、新西兰尚无记录
Country pages with a PUE requirement or target (China (mainland), Taiwan, Japan, Malaysia, Singapore and Australia); all 10 give a sourced power figure in MW or GW有 PUE 要求或目标的国家页(中国大陆、台湾、日本、马来西亚、新加坡、澳大利亚);10 个国家页都给出有来源的电力数字(MW 或 GW)
| City (weather station)城市(气象站) | W20 | W25 | W32 | W40 | W45 | 99.6th-percentile dry-bulb, °C干球温度 99.6 百分位,°C | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 5 K | 10 K | 15 K | 5 K | 10 K | 15 K | 5 K | 10 K | 15 K | 5 K | 10 K | 15 K | 5 K | 10 K | 15 K | ||
| Northern Virginia (Washington Dulles)北弗吉尼亚(杜勒斯) | 4,490 | 3,168 | 1,794 | 5,875 | 4,490 | 3,168 | 7,845 | 6,412 | 4,953 | 8,739 | 8,390 | 7,471 | 8,760 | 8,739 | 8,390 | 34.2 |
| Dallas (Dallas/Fort Worth)达拉斯(达拉斯-沃斯堡) | 2,697 | 1,540 | 641 | 4,082 | 2,697 | 1,540 | 6,388 | 4,604 | 3,139 | 8,435 | 7,451 | 5,793 | 8,736 | 8,435 | 7,451 | 38.6 |
| Phoenix (Sky Harbor)凤凰城(天港) | 1,828 | 597 | 45 | 3,160 | 1,828 | 597 | 4,843 | 3,603 | 2,291 | 7,116 | 5,692 | 4,434 | 8,224 | 7,116 | 5,692 | 45 |
| Sydney (Sydney Airport)悉尼(悉尼机场) | 2,220 | 339 | 0 | 5,328 | 2,220 | 339 | 8,417 | 6,710 | 3,373 | 8,741 | 8,664 | 8,025 | 8,757 | 8,741 | 8,664 | 32.8 |
| Western Sydney (Penrith)悉尼西部(彭里斯) lowest year: 81% of hours observed最低单年:观测到 81% 的小时 | 3,011 | 1,055 | 156 | 5,788 | 3,011 | 1,055 | 8,150 | 6,820 | 4,029 | 8,707 | 8,495 | 7,772 | 8,754 | 8,707 | 8,495 | 35.9 |
| Melbourne (Melbourne Airport)墨尔本(墨尔本机场) | 5,261 | 2,039 | 224 | 7,494 | 5,261 | 2,039 | 8,449 | 7,897 | 6,364 | 8,736 | 8,621 | 8,284 | 8,759 | 8,736 | 8,621 | 34 |
| Auckland (Auckland Airport)奥克兰(奥克兰机场) | 3,990 | 781 | 44 | 7,487 | 3,990 | 781 | 8,753 | 8,210 | 5,536 | 8,760 | 8,760 | 8,689 | 8,760 | 8,760 | 8,760 | 26.2 |
| Johor (Senai)柔佛(士乃) | 0 | 0 | 0 | 0 | 0 | 0 | 5,301 | 10 | 0 | 8,756 | 7,123 | 2,799 | 8,760 | 8,756 | 7,123 | 34.3 |
| Kuala Lumpur (Subang)吉隆坡(梳邦) | 0 | 0 | 0 | 0 | 0 | 0 | 4,174 | 1 | 0 | 8,746 | 6,523 | 1,278 | 8,760 | 8,746 | 6,523 | 34.9 |
| Singapore (Changi)新加坡(樟宜) | 0 | 0 | 0 | 0 | 0 | 0 | 3,239 | 2 | 0 | 8,760 | 7,177 | 648 | 8,760 | 8,760 | 7,177 | 33.2 |
| Jakarta (Soekarno-Hatta)雅加达(苏加诺-哈达) | 0 | 0 | 0 | 0 | 0 | 0 | 4,217 | 2 | 0 | 8,753 | 6,733 | 1,461 | 8,760 | 8,753 | 6,733 | 34 |
| Tokyo (Haneda)东京(羽田) | 3,596 | 2,050 | 503 | 5,296 | 3,596 | 2,050 | 7,640 | 6,036 | 4,270 | 8,758 | 8,397 | 7,008 | 8,760 | 8,758 | 8,397 | 33.6 |
| Taoyuan (Taoyuan Airport)桃园(桃园机场) | 844 | 76 | 0 | 2,905 | 844 | 76 | 5,969 | 3,676 | 1,656 | 8,717 | 7,565 | 5,020 | 8,760 | 8,717 | 7,565 | 35.8 |
| Seoul (Incheon Airport)首尔(仁川机场) | 4,718 | 3,515 | 2,381 | 6,071 | 4,718 | 3,515 | 8,265 | 6,677 | 5,224 | 8,760 | 8,650 | 7,690 | 8,760 | 8,760 | 8,650 | 31.6 |
| Beijing (Capital Airport)北京(首都机场) | 4,478 | 3,490 | 2,590 | 5,602 | 4,478 | 3,490 | 7,612 | 6,162 | 4,892 | 8,689 | 8,219 | 7,063 | 8,758 | 8,689 | 8,219 | 36.2 |
| Shanghai (Hongqiao)上海(虹桥) | 3,310 | 2,061 | 754 | 4,756 | 3,310 | 2,061 | 6,977 | 5,369 | 3,859 | 8,642 | 7,925 | 6,321 | 8,760 | 8,642 | 7,925 | 36.8 |
| Hokkaido (Sapporo)北海道(札幌) lowest year: 82% of hours observed最低单年:观测到 82% 的小时 | 5,530 | 4,336 | 3,156 | 6,836 | 5,530 | 4,336 | 8,474 | 7,402 | 6,018 | 8,760 | 8,694 | 8,161 | 8,760 | 8,760 | 8,694 | 30.7 |
| Kyushu (Fukuoka)九州(福冈) lowest year: 82% of hours observed最低单年:观测到 82% 的小时 | 3,443 | 1,815 | 402 | 4,983 | 3,443 | 1,815 | 7,185 | 5,591 | 4,037 | 8,735 | 8,109 | 6,538 | 8,760 | 8,735 | 8,109 | 34.6 |
Assumes the dry cooler supplies the facility water directly. With a glycol loop and a plate heat exchanger in between, add the exchanger's approach (often 2–3 K) to the dry cooler's: 10 K plus 3 K falls between the 10 K and 15 K columns, so there are fewer hours than the 10 K column shows. 假设干冷器直接供设施水。若中间有乙二醇回路和板式换热器,应把换热器的接近温差(常见约 2–3 K)加到干冷器的接近温差上:10 K 加 3 K 介于 10 K 和 15 K 两列之间,小时数少于 10 K 一列。W32, W40 and W45 are ASHRAE facility water classes; W20 and W25 mean 20 °C and 25 °C supply, where chilled-water plant design is moving (this site's labels, not ASHRAE classes). Hours a year (average of 2020–2024; every year counted as 8,760 hours). Darker = a larger share of the year: W32、W40、W45 为 ASHRAE 设施水温等级;W20 和 W25 指 20 °C 和 25 °C 供水,是冷站冷冻水设计正在移向的温度(本站标注,不是 ASHRAE 等级)。每年小时数(2020–2024 年平均;每年按 8,760 小时计)。颜色越深 = 占全年比例越大:<25% 25–50% 50–75% 75–95% ≥95%
| City (weather station)城市(气象站) | Station ID站号 | Supply water and approach供水温度与接近温差 | Dry-bulb limit, °C干球温度上限,°C | Hours a year, average年均小时数 | Lowest and highest year最低与最高单年 | Hours observed, lowest year观测覆盖(最低单年) | 99.6th-percentile dry-bulb, °C干球温度 99.6 百分位,°C |
|---|---|---|---|---|---|---|---|
| Northern Virginia (Washington Dulles)北弗吉尼亚(杜勒斯) | 72403093738 | W20, 5 K | ≤ 15 | 4,490 | 4,216–4,693 | 100% | 34.2 |
| Northern Virginia (Washington Dulles)北弗吉尼亚(杜勒斯) | 72403093738 | W20, 10 K | ≤ 10 | 3,168 | 3,006–3,288 | 100% | 34.2 |
| Northern Virginia (Washington Dulles)北弗吉尼亚(杜勒斯) | 72403093738 | W20, 15 K | ≤ 5 | 1,794 | 1,496–2,133 | 100% | 34.2 |
| Northern Virginia (Washington Dulles)北弗吉尼亚(杜勒斯) | 72403093738 | W25, 5 K | ≤ 20 | 5,875 | 5,692–6,058 | 100% | 34.2 |
| Northern Virginia (Washington Dulles)北弗吉尼亚(杜勒斯) | 72403093738 | W25, 10 K | ≤ 15 | 4,490 | 4,216–4,693 | 100% | 34.2 |
| Northern Virginia (Washington Dulles)北弗吉尼亚(杜勒斯) | 72403093738 | W25, 15 K | ≤ 10 | 3,168 | 3,006–3,288 | 100% | 34.2 |
| Northern Virginia (Washington Dulles)北弗吉尼亚(杜勒斯) | 72403093738 | W32, 5 K | ≤ 27 | 7,845 | 7,702–7,947 | 100% | 34.2 |
| Northern Virginia (Washington Dulles)北弗吉尼亚(杜勒斯) | 72403093738 | W32, 10 K | ≤ 22 | 6,412 | 6,226–6,555 | 100% | 34.2 |
| Northern Virginia (Washington Dulles)北弗吉尼亚(杜勒斯) | 72403093738 | W32, 15 K | ≤ 17 | 4,953 | 4,669–5,140 | 100% | 34.2 |
| Northern Virginia (Washington Dulles)北弗吉尼亚(杜勒斯) | 72403093738 | W40, 5 K | ≤ 35 | 8,739 | 8,708–8,760 | 100% | 34.2 |
| Northern Virginia (Washington Dulles)北弗吉尼亚(杜勒斯) | 72403093738 | W40, 10 K | ≤ 30 | 8,390 | 8,331–8,437 | 100% | 34.2 |
| Northern Virginia (Washington Dulles)北弗吉尼亚(杜勒斯) | 72403093738 | W40, 15 K | ≤ 25 | 7,471 | 7,283–7,626 | 100% | 34.2 |
| Northern Virginia (Washington Dulles)北弗吉尼亚(杜勒斯) | 72403093738 | W45, 5 K | ≤ 40 | 8,760 | 8,760–8,760 | 100% | 34.2 |
| Northern Virginia (Washington Dulles)北弗吉尼亚(杜勒斯) | 72403093738 | W45, 10 K | ≤ 35 | 8,739 | 8,708–8,760 | 100% | 34.2 |
| Northern Virginia (Washington Dulles)北弗吉尼亚(杜勒斯) | 72403093738 | W45, 15 K | ≤ 30 | 8,390 | 8,331–8,437 | 100% | 34.2 |
| Dallas (Dallas/Fort Worth)达拉斯(达拉斯-沃斯堡) | 72259003927 | W20, 5 K | ≤ 15 | 2,697 | 2,379–2,912 | 100% | 38.6 |
| Dallas (Dallas/Fort Worth)达拉斯(达拉斯-沃斯堡) | 72259003927 | W20, 10 K | ≤ 10 | 1,540 | 1,252–1,831 | 100% | 38.6 |
| Dallas (Dallas/Fort Worth)达拉斯(达拉斯-沃斯堡) | 72259003927 | W20, 15 K | ≤ 5 | 641 | 492–968 | 100% | 38.6 |
| Dallas (Dallas/Fort Worth)达拉斯(达拉斯-沃斯堡) | 72259003927 | W25, 5 K | ≤ 20 | 4,082 | 3,684–4,484 | 100% | 38.6 |
| Dallas (Dallas/Fort Worth)达拉斯(达拉斯-沃斯堡) | 72259003927 | W25, 10 K | ≤ 15 | 2,697 | 2,379–2,912 | 100% | 38.6 |
| Dallas (Dallas/Fort Worth)达拉斯(达拉斯-沃斯堡) | 72259003927 | W25, 15 K | ≤ 10 | 1,540 | 1,252–1,831 | 100% | 38.6 |
| Dallas (Dallas/Fort Worth)达拉斯(达拉斯-沃斯堡) | 72259003927 | W32, 5 K | ≤ 27 | 6,388 | 6,101–6,712 | 100% | 38.6 |
| Dallas (Dallas/Fort Worth)达拉斯(达拉斯-沃斯堡) | 72259003927 | W32, 10 K | ≤ 22 | 4,604 | 4,232–5,000 | 100% | 38.6 |
| Dallas (Dallas/Fort Worth)达拉斯(达拉斯-沃斯堡) | 72259003927 | W32, 15 K | ≤ 17 | 3,139 | 2,804–3,380 | 100% | 38.6 |
| Dallas (Dallas/Fort Worth)达拉斯(达拉斯-沃斯堡) | 72259003927 | W40, 5 K | ≤ 35 | 8,435 | 8,141–8,632 | 100% | 38.6 |
| Dallas (Dallas/Fort Worth)达拉斯(达拉斯-沃斯堡) | 72259003927 | W40, 10 K | ≤ 30 | 7,451 | 7,120–7,762 | 100% | 38.6 |
| Dallas (Dallas/Fort Worth)达拉斯(达拉斯-沃斯堡) | 72259003927 | W40, 15 K | ≤ 25 | 5,793 | 5,533–6,134 | 100% | 38.6 |
| Dallas (Dallas/Fort Worth)达拉斯(达拉斯-沃斯堡) | 72259003927 | W45, 5 K | ≤ 40 | 8,736 | 8,659–8,760 | 100% | 38.6 |
| Dallas (Dallas/Fort Worth)达拉斯(达拉斯-沃斯堡) | 72259003927 | W45, 10 K | ≤ 35 | 8,435 | 8,141–8,632 | 100% | 38.6 |
| Dallas (Dallas/Fort Worth)达拉斯(达拉斯-沃斯堡) | 72259003927 | W45, 15 K | ≤ 30 | 7,451 | 7,120–7,762 | 100% | 38.6 |
| Phoenix (Sky Harbor)凤凰城(天港) | 72278023183 | W20, 5 K | ≤ 15 | 1,828 | 1,606–1,967 | 100% | 45 |
| Phoenix (Sky Harbor)凤凰城(天港) | 72278023183 | W20, 10 K | ≤ 10 | 597 | 457–693 | 100% | 45 |
| Phoenix (Sky Harbor)凤凰城(天港) | 72278023183 | W20, 15 K | ≤ 5 | 45 | 24–54 | 100% | 45 |
| Phoenix (Sky Harbor)凤凰城(天港) | 72278023183 | W25, 5 K | ≤ 20 | 3,160 | 3,050–3,245 | 100% | 45 |
| Phoenix (Sky Harbor)凤凰城(天港) | 72278023183 | W25, 10 K | ≤ 15 | 1,828 | 1,606–1,967 | 100% | 45 |
| Phoenix (Sky Harbor)凤凰城(天港) | 72278023183 | W25, 15 K | ≤ 10 | 597 | 457–693 | 100% | 45 |
| Phoenix (Sky Harbor)凤凰城(天港) | 72278023183 | W32, 5 K | ≤ 27 | 4,843 | 4,648–5,011 | 100% | 45 |
| Phoenix (Sky Harbor)凤凰城(天港) | 72278023183 | W32, 10 K | ≤ 22 | 3,603 | 3,547–3,685 | 100% | 45 |
| Phoenix (Sky Harbor)凤凰城(天港) | 72278023183 | W32, 15 K | ≤ 17 | 2,291 | 2,095–2,410 | 100% | 45 |
| Phoenix (Sky Harbor)凤凰城(天港) | 72278023183 | W40, 5 K | ≤ 35 | 7,116 | 6,771–7,480 | 100% | 45 |
| Phoenix (Sky Harbor)凤凰城(天港) | 72278023183 | W40, 10 K | ≤ 30 | 5,692 | 5,347–6,017 | 100% | 45 |
| Phoenix (Sky Harbor)凤凰城(天港) | 72278023183 | W40, 15 K | ≤ 25 | 4,434 | 4,344–4,529 | 100% | 45 |
| Phoenix (Sky Harbor)凤凰城(天港) | 72278023183 | W45, 5 K | ≤ 40 | 8,224 | 7,958–8,447 | 100% | 45 |
| Phoenix (Sky Harbor)凤凰城(天港) | 72278023183 | W45, 10 K | ≤ 35 | 7,116 | 6,771–7,480 | 100% | 45 |
| Phoenix (Sky Harbor)凤凰城(天港) | 72278023183 | W45, 15 K | ≤ 30 | 5,692 | 5,347–6,017 | 100% | 45 |
| Sydney (Sydney Airport)悉尼(悉尼机场) | 94767099999 | W20, 5 K | ≤ 15 | 2,220 | 2,082–2,374 | 96% | 32.8 |
| Sydney (Sydney Airport)悉尼(悉尼机场) | 94767099999 | W20, 10 K | ≤ 10 | 339 | 292–397 | 96% | 32.8 |
| Sydney (Sydney Airport)悉尼(悉尼机场) | 94767099999 | W20, 15 K | ≤ 5 | 0 | 0–0 | 96% | 32.8 |
| Sydney (Sydney Airport)悉尼(悉尼机场) | 94767099999 | W25, 5 K | ≤ 20 | 5,328 | 4,872–5,709 | 96% | 32.8 |
| Sydney (Sydney Airport)悉尼(悉尼机场) | 94767099999 | W25, 10 K | ≤ 15 | 2,220 | 2,082–2,374 | 96% | 32.8 |
| Sydney (Sydney Airport)悉尼(悉尼机场) | 94767099999 | W25, 15 K | ≤ 10 | 339 | 292–397 | 96% | 32.8 |
| Sydney (Sydney Airport)悉尼(悉尼机场) | 94767099999 | W32, 5 K | ≤ 27 | 8,417 | 8,314–8,554 | 96% | 32.8 |
| Sydney (Sydney Airport)悉尼(悉尼机场) | 94767099999 | W32, 10 K | ≤ 22 | 6,710 | 6,217–7,170 | 96% | 32.8 |
| Sydney (Sydney Airport)悉尼(悉尼机场) | 94767099999 | W32, 15 K | ≤ 17 | 3,373 | 3,151–3,598 | 96% | 32.8 |
| Sydney (Sydney Airport)悉尼(悉尼机场) | 94767099999 | W40, 5 K | ≤ 35 | 8,741 | 8,715–8,760 | 96% | 32.8 |
| Sydney (Sydney Airport)悉尼(悉尼机场) | 94767099999 | W40, 10 K | ≤ 30 | 8,664 | 8,599–8,740 | 96% | 32.8 |
| Sydney (Sydney Airport)悉尼(悉尼机场) | 94767099999 | W40, 15 K | ≤ 25 | 8,025 | 7,781–8,248 | 96% | 32.8 |
| Sydney (Sydney Airport)悉尼(悉尼机场) | 94767099999 | W45, 5 K | ≤ 40 | 8,757 | 8,746–8,760 | 96% | 32.8 |
| Sydney (Sydney Airport)悉尼(悉尼机场) | 94767099999 | W45, 10 K | ≤ 35 | 8,741 | 8,715–8,760 | 96% | 32.8 |
| Sydney (Sydney Airport)悉尼(悉尼机场) | 94767099999 | W45, 15 K | ≤ 30 | 8,664 | 8,599–8,740 | 96% | 32.8 |
| Western Sydney (Penrith)悉尼西部(彭里斯) | 94763099999 | W20, 5 K | ≤ 15 | 3,011 | 2,777–3,257 | 81% | 35.9 |
| Western Sydney (Penrith)悉尼西部(彭里斯) | 94763099999 | W20, 10 K | ≤ 10 | 1,055 | 851–1,255 | 81% | 35.9 |
| Western Sydney (Penrith)悉尼西部(彭里斯) | 94763099999 | W20, 15 K | ≤ 5 | 156 | 85–211 | 81% | 35.9 |
| Western Sydney (Penrith)悉尼西部(彭里斯) | 94763099999 | W25, 5 K | ≤ 20 | 5,788 | 5,313–6,188 | 81% | 35.9 |
| Western Sydney (Penrith)悉尼西部(彭里斯) | 94763099999 | W25, 10 K | ≤ 15 | 3,011 | 2,777–3,257 | 81% | 35.9 |
| Western Sydney (Penrith)悉尼西部(彭里斯) | 94763099999 | W25, 15 K | ≤ 10 | 1,055 | 851–1,255 | 81% | 35.9 |
| Western Sydney (Penrith)悉尼西部(彭里斯) | 94763099999 | W32, 5 K | ≤ 27 | 8,150 | 7,950–8,411 | 81% | 35.9 |
| Western Sydney (Penrith)悉尼西部(彭里斯) | 94763099999 | W32, 10 K | ≤ 22 | 6,820 | 6,386–7,156 | 81% | 35.9 |
| Western Sydney (Penrith)悉尼西部(彭里斯) | 94763099999 | W32, 15 K | ≤ 17 | 4,029 | 3,728–4,323 | 81% | 35.9 |
| Western Sydney (Penrith)悉尼西部(彭里斯) | 94763099999 | W40, 5 K | ≤ 35 | 8,707 | 8,676–8,754 | 81% | 35.9 |
| Western Sydney (Penrith)悉尼西部(彭里斯) | 94763099999 | W40, 10 K | ≤ 30 | 8,495 | 8,393–8,636 | 81% | 35.9 |
| Western Sydney (Penrith)悉尼西部(彭里斯) | 94763099999 | W40, 15 K | ≤ 25 | 7,772 | 7,506–8,060 | 81% | 35.9 |
| Western Sydney (Penrith)悉尼西部(彭里斯) | 94763099999 | W45, 5 K | ≤ 40 | 8,754 | 8,740–8,760 | 81% | 35.9 |
| Western Sydney (Penrith)悉尼西部(彭里斯) | 94763099999 | W45, 10 K | ≤ 35 | 8,707 | 8,676–8,754 | 81% | 35.9 |
| Western Sydney (Penrith)悉尼西部(彭里斯) | 94763099999 | W45, 15 K | ≤ 30 | 8,495 | 8,393–8,636 | 81% | 35.9 |
| Melbourne (Melbourne Airport)墨尔本(墨尔本机场) | 94866099999 | W20, 5 K | ≤ 15 | 5,261 | 4,812–5,710 | 96% | 34 |
| Melbourne (Melbourne Airport)墨尔本(墨尔本机场) | 94866099999 | W20, 10 K | ≤ 10 | 2,039 | 1,655–2,327 | 96% | 34 |
| Melbourne (Melbourne Airport)墨尔本(墨尔本机场) | 94866099999 | W20, 15 K | ≤ 5 | 224 | 158–298 | 96% | 34 |
| Melbourne (Melbourne Airport)墨尔本(墨尔本机场) | 94866099999 | W25, 5 K | ≤ 20 | 7,494 | 7,247–7,706 | 96% | 34 |
| Melbourne (Melbourne Airport)墨尔本(墨尔本机场) | 94866099999 | W25, 10 K | ≤ 15 | 5,261 | 4,812–5,710 | 96% | 34 |
| Melbourne (Melbourne Airport)墨尔本(墨尔本机场) | 94866099999 | W25, 15 K | ≤ 10 | 2,039 | 1,655–2,327 | 96% | 34 |
| Melbourne (Melbourne Airport)墨尔本(墨尔本机场) | 94866099999 | W32, 5 K | ≤ 27 | 8,449 | 8,342–8,503 | 96% | 34 |
| Melbourne (Melbourne Airport)墨尔本(墨尔本机场) | 94866099999 | W32, 10 K | ≤ 22 | 7,897 | 7,705–8,059 | 96% | 34 |
| Melbourne (Melbourne Airport)墨尔本(墨尔本机场) | 94866099999 | W32, 15 K | ≤ 17 | 6,364 | 5,989–6,762 | 96% | 34 |
| Melbourne (Melbourne Airport)墨尔本(墨尔本机场) | 94866099999 | W40, 5 K | ≤ 35 | 8,736 | 8,711–8,747 | 96% | 34 |
| Melbourne (Melbourne Airport)墨尔本(墨尔本机场) | 94866099999 | W40, 10 K | ≤ 30 | 8,621 | 8,538–8,664 | 96% | 34 |
| Melbourne (Melbourne Airport)墨尔本(墨尔本机场) | 94866099999 | W40, 15 K | ≤ 25 | 8,284 | 8,150–8,376 | 96% | 34 |
| Melbourne (Melbourne Airport)墨尔本(墨尔本机场) | 94866099999 | W45, 5 K | ≤ 40 | 8,759 | 8,756–8,760 | 96% | 34 |
| Melbourne (Melbourne Airport)墨尔本(墨尔本机场) | 94866099999 | W45, 10 K | ≤ 35 | 8,736 | 8,711–8,747 | 96% | 34 |
| Melbourne (Melbourne Airport)墨尔本(墨尔本机场) | 94866099999 | W45, 15 K | ≤ 30 | 8,621 | 8,538–8,664 | 96% | 34 |
| Auckland (Auckland Airport)奥克兰(奥克兰机场) | 93119099999 | W20, 5 K | ≤ 15 | 3,990 | 3,643–4,202 | 96% | 26.2 |
| Auckland (Auckland Airport)奥克兰(奥克兰机场) | 93119099999 | W20, 10 K | ≤ 10 | 781 | 698–814 | 96% | 26.2 |
| Auckland (Auckland Airport)奥克兰(奥克兰机场) | 93119099999 | W20, 15 K | ≤ 5 | 44 | 24–66 | 96% | 26.2 |
| Auckland (Auckland Airport)奥克兰(奥克兰机场) | 93119099999 | W25, 5 K | ≤ 20 | 7,487 | 7,195–7,650 | 96% | 26.2 |
| Auckland (Auckland Airport)奥克兰(奥克兰机场) | 93119099999 | W25, 10 K | ≤ 15 | 3,990 | 3,643–4,202 | 96% | 26.2 |
| Auckland (Auckland Airport)奥克兰(奥克兰机场) | 93119099999 | W25, 15 K | ≤ 10 | 781 | 698–814 | 96% | 26.2 |
| Auckland (Auckland Airport)奥克兰(奥克兰机场) | 93119099999 | W32, 5 K | ≤ 27 | 8,753 | 8,742–8,760 | 96% | 26.2 |
| Auckland (Auckland Airport)奥克兰(奥克兰机场) | 93119099999 | W32, 10 K | ≤ 22 | 8,210 | 7,910–8,404 | 96% | 26.2 |
| Auckland (Auckland Airport)奥克兰(奥克兰机场) | 93119099999 | W32, 15 K | ≤ 17 | 5,536 | 5,177–5,867 | 96% | 26.2 |
| Auckland (Auckland Airport)奥克兰(奥克兰机场) | 93119099999 | W40, 5 K | ≤ 35 | 8,760 | 8,760–8,760 | 96% | 26.2 |
| Auckland (Auckland Airport)奥克兰(奥克兰机场) | 93119099999 | W40, 10 K | ≤ 30 | 8,760 | 8,760–8,760 | 96% | 26.2 |
| Auckland (Auckland Airport)奥克兰(奥克兰机场) | 93119099999 | W40, 15 K | ≤ 25 | 8,689 | 8,625–8,742 | 96% | 26.2 |
| Auckland (Auckland Airport)奥克兰(奥克兰机场) | 93119099999 | W45, 5 K | ≤ 40 | 8,760 | 8,760–8,760 | 96% | 26.2 |
| Auckland (Auckland Airport)奥克兰(奥克兰机场) | 93119099999 | W45, 10 K | ≤ 35 | 8,760 | 8,760–8,760 | 96% | 26.2 |
| Auckland (Auckland Airport)奥克兰(奥克兰机场) | 93119099999 | W45, 15 K | ≤ 30 | 8,760 | 8,760–8,760 | 96% | 26.2 |
| Johor (Senai)柔佛(士乃) | 48679099999 | W20, 5 K | ≤ 15 | 0 | 0–0 | 96% | 34.3 |
| Johor (Senai)柔佛(士乃) | 48679099999 | W20, 10 K | ≤ 10 | 0 | 0–0 | 96% | 34.3 |
| Johor (Senai)柔佛(士乃) | 48679099999 | W20, 15 K | ≤ 5 | 0 | 0–0 | 96% | 34.3 |
| Johor (Senai)柔佛(士乃) | 48679099999 | W25, 5 K | ≤ 20 | 0 | 0–0 | 96% | 34.3 |
| Johor (Senai)柔佛(士乃) | 48679099999 | W25, 10 K | ≤ 15 | 0 | 0–0 | 96% | 34.3 |
| Johor (Senai)柔佛(士乃) | 48679099999 | W25, 15 K | ≤ 10 | 0 | 0–0 | 96% | 34.3 |
| Johor (Senai)柔佛(士乃) | 48679099999 | W32, 5 K | ≤ 27 | 5,301 | 4,964–5,558 | 96% | 34.3 |
| Johor (Senai)柔佛(士乃) | 48679099999 | W32, 10 K | ≤ 22 | 10 | 0–36 | 96% | 34.3 |
| Johor (Senai)柔佛(士乃) | 48679099999 | W32, 15 K | ≤ 17 | 0 | 0–0 | 96% | 34.3 |
| Johor (Senai)柔佛(士乃) | 48679099999 | W40, 5 K | ≤ 35 | 8,756 | 8,752–8,760 | 96% | 34.3 |
| Johor (Senai)柔佛(士乃) | 48679099999 | W40, 10 K | ≤ 30 | 7,123 | 6,918–7,277 | 96% | 34.3 |
| Johor (Senai)柔佛(士乃) | 48679099999 | W40, 15 K | ≤ 25 | 2,799 | 1,919–3,393 | 96% | 34.3 |
| Johor (Senai)柔佛(士乃) | 48679099999 | W45, 5 K | ≤ 40 | 8,760 | 8,760–8,760 | 96% | 34.3 |
| Johor (Senai)柔佛(士乃) | 48679099999 | W45, 10 K | ≤ 35 | 8,756 | 8,752–8,760 | 96% | 34.3 |
| Johor (Senai)柔佛(士乃) | 48679099999 | W45, 15 K | ≤ 30 | 7,123 | 6,918–7,277 | 96% | 34.3 |
| Kuala Lumpur (Subang)吉隆坡(梳邦) | 48647099999 | W20, 5 K | ≤ 15 | 0 | 0–0 | 96% | 34.9 |
| Kuala Lumpur (Subang)吉隆坡(梳邦) | 48647099999 | W20, 10 K | ≤ 10 | 0 | 0–0 | 96% | 34.9 |
| Kuala Lumpur (Subang)吉隆坡(梳邦) | 48647099999 | W20, 15 K | ≤ 5 | 0 | 0–0 | 96% | 34.9 |
| Kuala Lumpur (Subang)吉隆坡(梳邦) | 48647099999 | W25, 5 K | ≤ 20 | 0 | 0–0 | 96% | 34.9 |
| Kuala Lumpur (Subang)吉隆坡(梳邦) | 48647099999 | W25, 10 K | ≤ 15 | 0 | 0–0 | 96% | 34.9 |
| Kuala Lumpur (Subang)吉隆坡(梳邦) | 48647099999 | W25, 15 K | ≤ 10 | 0 | 0–0 | 96% | 34.9 |
| Kuala Lumpur (Subang)吉隆坡(梳邦) | 48647099999 | W32, 5 K | ≤ 27 | 4,174 | 3,710–4,459 | 96% | 34.9 |
| Kuala Lumpur (Subang)吉隆坡(梳邦) | 48647099999 | W32, 10 K | ≤ 22 | 1 | 0–2 | 96% | 34.9 |
| Kuala Lumpur (Subang)吉隆坡(梳邦) | 48647099999 | W32, 15 K | ≤ 17 | 0 | 0–0 | 96% | 34.9 |
| Kuala Lumpur (Subang)吉隆坡(梳邦) | 48647099999 | W40, 5 K | ≤ 35 | 8,746 | 8,728–8,757 | 96% | 34.9 |
| Kuala Lumpur (Subang)吉隆坡(梳邦) | 48647099999 | W40, 10 K | ≤ 30 | 6,523 | 6,327–6,720 | 96% | 34.9 |
| Kuala Lumpur (Subang)吉隆坡(梳邦) | 48647099999 | W40, 15 K | ≤ 25 | 1,278 | 711–1,718 | 96% | 34.9 |
| Kuala Lumpur (Subang)吉隆坡(梳邦) | 48647099999 | W45, 5 K | ≤ 40 | 8,760 | 8,760–8,760 | 96% | 34.9 |
| Kuala Lumpur (Subang)吉隆坡(梳邦) | 48647099999 | W45, 10 K | ≤ 35 | 8,746 | 8,728–8,757 | 96% | 34.9 |
| Kuala Lumpur (Subang)吉隆坡(梳邦) | 48647099999 | W45, 15 K | ≤ 30 | 6,523 | 6,327–6,720 | 96% | 34.9 |
| Singapore (Changi)新加坡(樟宜) | 48698099999 | W20, 5 K | ≤ 15 | 0 | 0–0 | 96% | 33.2 |
| Singapore (Changi)新加坡(樟宜) | 48698099999 | W20, 10 K | ≤ 10 | 0 | 0–0 | 96% | 33.2 |
| Singapore (Changi)新加坡(樟宜) | 48698099999 | W20, 15 K | ≤ 5 | 0 | 0–0 | 96% | 33.2 |
| Singapore (Changi)新加坡(樟宜) | 48698099999 | W25, 5 K | ≤ 20 | 0 | 0–0 | 96% | 33.2 |
| Singapore (Changi)新加坡(樟宜) | 48698099999 | W25, 10 K | ≤ 15 | 0 | 0–0 | 96% | 33.2 |
| Singapore (Changi)新加坡(樟宜) | 48698099999 | W25, 15 K | ≤ 10 | 0 | 0–0 | 96% | 33.2 |
| Singapore (Changi)新加坡(樟宜) | 48698099999 | W32, 5 K | ≤ 27 | 3,239 | 2,363–3,985 | 96% | 33.2 |
| Singapore (Changi)新加坡(樟宜) | 48698099999 | W32, 10 K | ≤ 22 | 2 | 0–8 | 96% | 33.2 |
| Singapore (Changi)新加坡(樟宜) | 48698099999 | W32, 15 K | ≤ 17 | 0 | 0–0 | 96% | 33.2 |
| Singapore (Changi)新加坡(樟宜) | 48698099999 | W40, 5 K | ≤ 35 | 8,760 | 8,760–8,760 | 96% | 33.2 |
| Singapore (Changi)新加坡(樟宜) | 48698099999 | W40, 10 K | ≤ 30 | 7,177 | 6,833–7,428 | 96% | 33.2 |
| Singapore (Changi)新加坡(樟宜) | 48698099999 | W40, 15 K | ≤ 25 | 648 | 344–1,171 | 96% | 33.2 |
| Singapore (Changi)新加坡(樟宜) | 48698099999 | W45, 5 K | ≤ 40 | 8,760 | 8,760–8,760 | 96% | 33.2 |
| Singapore (Changi)新加坡(樟宜) | 48698099999 | W45, 10 K | ≤ 35 | 8,760 | 8,760–8,760 | 96% | 33.2 |
| Singapore (Changi)新加坡(樟宜) | 48698099999 | W45, 15 K | ≤ 30 | 7,177 | 6,833–7,428 | 96% | 33.2 |
| Jakarta (Soekarno-Hatta)雅加达(苏加诺-哈达) | 96749099999 | W20, 5 K | ≤ 15 | 0 | 0–0 | 96% | 34 |
| Jakarta (Soekarno-Hatta)雅加达(苏加诺-哈达) | 96749099999 | W20, 10 K | ≤ 10 | 0 | 0–0 | 96% | 34 |
| Jakarta (Soekarno-Hatta)雅加达(苏加诺-哈达) | 96749099999 | W20, 15 K | ≤ 5 | 0 | 0–0 | 96% | 34 |
| Jakarta (Soekarno-Hatta)雅加达(苏加诺-哈达) | 96749099999 | W25, 5 K | ≤ 20 | 0 | 0–0 | 96% | 34 |
| Jakarta (Soekarno-Hatta)雅加达(苏加诺-哈达) | 96749099999 | W25, 10 K | ≤ 15 | 0 | 0–0 | 96% | 34 |
| Jakarta (Soekarno-Hatta)雅加达(苏加诺-哈达) | 96749099999 | W25, 15 K | ≤ 10 | 0 | 0–0 | 96% | 34 |
| Jakarta (Soekarno-Hatta)雅加达(苏加诺-哈达) | 96749099999 | W32, 5 K | ≤ 27 | 4,217 | 3,706–4,681 | 96% | 34 |
| Jakarta (Soekarno-Hatta)雅加达(苏加诺-哈达) | 96749099999 | W32, 10 K | ≤ 22 | 2 | 1–6 | 96% | 34 |
| Jakarta (Soekarno-Hatta)雅加达(苏加诺-哈达) | 96749099999 | W32, 15 K | ≤ 17 | 0 | 0–0 | 96% | 34 |
| Jakarta (Soekarno-Hatta)雅加达(苏加诺-哈达) | 96749099999 | W40, 5 K | ≤ 35 | 8,753 | 8,731–8,760 | 96% | 34 |
| Jakarta (Soekarno-Hatta)雅加达(苏加诺-哈达) | 96749099999 | W40, 10 K | ≤ 30 | 6,733 | 6,400–7,040 | 96% | 34 |
| Jakarta (Soekarno-Hatta)雅加达(苏加诺-哈达) | 96749099999 | W40, 15 K | ≤ 25 | 1,461 | 951–1,945 | 96% | 34 |
| Jakarta (Soekarno-Hatta)雅加达(苏加诺-哈达) | 96749099999 | W45, 5 K | ≤ 40 | 8,760 | 8,760–8,760 | 96% | 34 |
| Jakarta (Soekarno-Hatta)雅加达(苏加诺-哈达) | 96749099999 | W45, 10 K | ≤ 35 | 8,753 | 8,731–8,760 | 96% | 34 |
| Jakarta (Soekarno-Hatta)雅加达(苏加诺-哈达) | 96749099999 | W45, 15 K | ≤ 30 | 6,733 | 6,400–7,040 | 96% | 34 |
| Tokyo (Haneda)东京(羽田) | 47671099999 | W20, 5 K | ≤ 15 | 3,596 | 3,371–3,886 | 96% | 33.6 |
| Tokyo (Haneda)东京(羽田) | 47671099999 | W20, 10 K | ≤ 10 | 2,050 | 1,840–2,364 | 96% | 33.6 |
| Tokyo (Haneda)东京(羽田) | 47671099999 | W20, 15 K | ≤ 5 | 503 | 335–737 | 96% | 33.6 |
| Tokyo (Haneda)东京(羽田) | 47671099999 | W25, 5 K | ≤ 20 | 5,296 | 4,910–5,559 | 96% | 33.6 |
| Tokyo (Haneda)东京(羽田) | 47671099999 | W25, 10 K | ≤ 15 | 3,596 | 3,371–3,886 | 96% | 33.6 |
| Tokyo (Haneda)东京(羽田) | 47671099999 | W25, 15 K | ≤ 10 | 2,050 | 1,840–2,364 | 96% | 33.6 |
| Tokyo (Haneda)东京(羽田) | 47671099999 | W32, 5 K | ≤ 27 | 7,640 | 7,234–8,051 | 96% | 33.6 |
| Tokyo (Haneda)东京(羽田) | 47671099999 | W32, 10 K | ≤ 22 | 6,036 | 5,657–6,337 | 96% | 33.6 |
| Tokyo (Haneda)东京(羽田) | 47671099999 | W32, 15 K | ≤ 17 | 4,270 | 3,921–4,536 | 96% | 33.6 |
| Tokyo (Haneda)东京(羽田) | 47671099999 | W40, 5 K | ≤ 35 | 8,758 | 8,754–8,760 | 96% | 33.6 |
| Tokyo (Haneda)东京(羽田) | 47671099999 | W40, 10 K | ≤ 30 | 8,397 | 8,210–8,551 | 96% | 33.6 |
| Tokyo (Haneda)东京(羽田) | 47671099999 | W40, 15 K | ≤ 25 | 7,008 | 6,568–7,433 | 96% | 33.6 |
| Tokyo (Haneda)东京(羽田) | 47671099999 | W45, 5 K | ≤ 40 | 8,760 | 8,760–8,760 | 96% | 33.6 |
| Tokyo (Haneda)东京(羽田) | 47671099999 | W45, 10 K | ≤ 35 | 8,758 | 8,754–8,760 | 96% | 33.6 |
| Tokyo (Haneda)东京(羽田) | 47671099999 | W45, 15 K | ≤ 30 | 8,397 | 8,210–8,551 | 96% | 33.6 |
| Taoyuan (Taoyuan Airport)桃园(桃园机场) | 46686099999 | W20, 5 K | ≤ 15 | 844 | 645–1,115 | 96% | 35.8 |
| Taoyuan (Taoyuan Airport)桃园(桃园机场) | 46686099999 | W20, 10 K | ≤ 10 | 76 | 56–101 | 96% | 35.8 |
| Taoyuan (Taoyuan Airport)桃园(桃园机场) | 46686099999 | W20, 15 K | ≤ 5 | 0 | 0–0 | 96% | 35.8 |
| Taoyuan (Taoyuan Airport)桃园(桃园机场) | 46686099999 | W25, 5 K | ≤ 20 | 2,905 | 2,687–2,994 | 96% | 35.8 |
| Taoyuan (Taoyuan Airport)桃园(桃园机场) | 46686099999 | W25, 10 K | ≤ 15 | 844 | 645–1,115 | 96% | 35.8 |
| Taoyuan (Taoyuan Airport)桃园(桃园机场) | 46686099999 | W25, 15 K | ≤ 10 | 76 | 56–101 | 96% | 35.8 |
| Taoyuan (Taoyuan Airport)桃园(桃园机场) | 46686099999 | W32, 5 K | ≤ 27 | 5,969 | 5,648–6,261 | 96% | 35.8 |
| Taoyuan (Taoyuan Airport)桃园(桃园机场) | 46686099999 | W32, 10 K | ≤ 22 | 3,676 | 3,324–3,908 | 96% | 35.8 |
| Taoyuan (Taoyuan Airport)桃园(桃园机场) | 46686099999 | W32, 15 K | ≤ 17 | 1,656 | 1,451–1,832 | 96% | 35.8 |
| Taoyuan (Taoyuan Airport)桃园(桃园机场) | 46686099999 | W40, 5 K | ≤ 35 | 8,717 | 8,706–8,738 | 96% | 35.8 |
| Taoyuan (Taoyuan Airport)桃园(桃园机场) | 46686099999 | W40, 10 K | ≤ 30 | 7,565 | 7,400–7,665 | 96% | 35.8 |
| Taoyuan (Taoyuan Airport)桃园(桃园机场) | 46686099999 | W40, 15 K | ≤ 25 | 5,020 | 4,634–5,375 | 96% | 35.8 |
| Taoyuan (Taoyuan Airport)桃园(桃园机场) | 46686099999 | W45, 5 K | ≤ 40 | 8,760 | 8,760–8,760 | 96% | 35.8 |
| Taoyuan (Taoyuan Airport)桃园(桃园机场) | 46686099999 | W45, 10 K | ≤ 35 | 8,717 | 8,706–8,738 | 96% | 35.8 |
| Taoyuan (Taoyuan Airport)桃园(桃园机场) | 46686099999 | W45, 15 K | ≤ 30 | 7,565 | 7,400–7,665 | 96% | 35.8 |
| Seoul (Incheon Airport)首尔(仁川机场) | 47113199999 | W20, 5 K | ≤ 15 | 4,718 | 4,419–4,998 | 96% | 31.6 |
| Seoul (Incheon Airport)首尔(仁川机场) | 47113199999 | W20, 10 K | ≤ 10 | 3,515 | 3,286–3,743 | 96% | 31.6 |
| Seoul (Incheon Airport)首尔(仁川机场) | 47113199999 | W20, 15 K | ≤ 5 | 2,381 | 2,133–2,488 | 96% | 31.6 |
| Seoul (Incheon Airport)首尔(仁川机场) | 47113199999 | W25, 5 K | ≤ 20 | 6,071 | 5,837–6,355 | 96% | 31.6 |
| Seoul (Incheon Airport)首尔(仁川机场) | 47113199999 | W25, 10 K | ≤ 15 | 4,718 | 4,419–4,998 | 96% | 31.6 |
| Seoul (Incheon Airport)首尔(仁川机场) | 47113199999 | W25, 15 K | ≤ 10 | 3,515 | 3,286–3,743 | 96% | 31.6 |
| Seoul (Incheon Airport)首尔(仁川机场) | 47113199999 | W32, 5 K | ≤ 27 | 8,265 | 7,922–8,549 | 96% | 31.6 |
| Seoul (Incheon Airport)首尔(仁川机场) | 47113199999 | W32, 10 K | ≤ 22 | 6,677 | 6,327–7,099 | 96% | 31.6 |
| Seoul (Incheon Airport)首尔(仁川机场) | 47113199999 | W32, 15 K | ≤ 17 | 5,224 | 5,009–5,511 | 96% | 31.6 |
| Seoul (Incheon Airport)首尔(仁川机场) | 47113199999 | W40, 5 K | ≤ 35 | 8,760 | 8,760–8,760 | 96% | 31.6 |
| Seoul (Incheon Airport)首尔(仁川机场) | 47113199999 | W40, 10 K | ≤ 30 | 8,650 | 8,540–8,740 | 96% | 31.6 |
| Seoul (Incheon Airport)首尔(仁川机场) | 47113199999 | W40, 15 K | ≤ 25 | 7,690 | 7,177–8,117 | 96% | 31.6 |
| Seoul (Incheon Airport)首尔(仁川机场) | 47113199999 | W45, 5 K | ≤ 40 | 8,760 | 8,760–8,760 | 96% | 31.6 |
| Seoul (Incheon Airport)首尔(仁川机场) | 47113199999 | W45, 10 K | ≤ 35 | 8,760 | 8,760–8,760 | 96% | 31.6 |
| Seoul (Incheon Airport)首尔(仁川机场) | 47113199999 | W45, 15 K | ≤ 30 | 8,650 | 8,540–8,740 | 96% | 31.6 |
| Beijing (Capital Airport)北京(首都机场) | 54511099999 | W20, 5 K | ≤ 15 | 4,478 | 4,355–4,673 | 96% | 36.2 |
| Beijing (Capital Airport)北京(首都机场) | 54511099999 | W20, 10 K | ≤ 10 | 3,490 | 3,384–3,644 | 96% | 36.2 |
| Beijing (Capital Airport)北京(首都机场) | 54511099999 | W20, 15 K | ≤ 5 | 2,590 | 2,450–2,720 | 96% | 36.2 |
| Beijing (Capital Airport)北京(首都机场) | 54511099999 | W25, 5 K | ≤ 20 | 5,602 | 5,434–5,773 | 96% | 36.2 |
| Beijing (Capital Airport)北京(首都机场) | 54511099999 | W25, 10 K | ≤ 15 | 4,478 | 4,355–4,673 | 96% | 36.2 |
| Beijing (Capital Airport)北京(首都机场) | 54511099999 | W25, 15 K | ≤ 10 | 3,490 | 3,384–3,644 | 96% | 36.2 |
| Beijing (Capital Airport)北京(首都机场) | 54511099999 | W32, 5 K | ≤ 27 | 7,612 | 7,431–7,876 | 96% | 36.2 |
| Beijing (Capital Airport)北京(首都机场) | 54511099999 | W32, 10 K | ≤ 22 | 6,162 | 5,958–6,374 | 96% | 36.2 |
| Beijing (Capital Airport)北京(首都机场) | 54511099999 | W32, 15 K | ≤ 17 | 4,892 | 4,763–5,046 | 96% | 36.2 |
| Beijing (Capital Airport)北京(首都机场) | 54511099999 | W40, 5 K | ≤ 35 | 8,689 | 8,577–8,737 | 96% | 36.2 |
| Beijing (Capital Airport)北京(首都机场) | 54511099999 | W40, 10 K | ≤ 30 | 8,219 | 8,045–8,445 | 96% | 36.2 |
| Beijing (Capital Airport)北京(首都机场) | 54511099999 | W40, 15 K | ≤ 25 | 7,063 | 6,868–7,322 | 96% | 36.2 |
| Beijing (Capital Airport)北京(首都机场) | 54511099999 | W45, 5 K | ≤ 40 | 8,758 | 8,752–8,760 | 96% | 36.2 |
| Beijing (Capital Airport)北京(首都机场) | 54511099999 | W45, 10 K | ≤ 35 | 8,689 | 8,577–8,737 | 96% | 36.2 |
| Beijing (Capital Airport)北京(首都机场) | 54511099999 | W45, 15 K | ≤ 30 | 8,219 | 8,045–8,445 | 96% | 36.2 |
| Shanghai (Hongqiao)上海(虹桥) | 58367099999 | W20, 5 K | ≤ 15 | 3,310 | 3,200–3,430 | 96% | 36.8 |
| Shanghai (Hongqiao)上海(虹桥) | 58367099999 | W20, 10 K | ≤ 10 | 2,061 | 1,860–2,211 | 96% | 36.8 |
| Shanghai (Hongqiao)上海(虹桥) | 58367099999 | W20, 15 K | ≤ 5 | 754 | 515–970 | 96% | 36.8 |
| Shanghai (Hongqiao)上海(虹桥) | 58367099999 | W25, 5 K | ≤ 20 | 4,756 | 4,629–4,954 | 96% | 36.8 |
| Shanghai (Hongqiao)上海(虹桥) | 58367099999 | W25, 10 K | ≤ 15 | 3,310 | 3,200–3,430 | 96% | 36.8 |
| Shanghai (Hongqiao)上海(虹桥) | 58367099999 | W25, 15 K | ≤ 10 | 2,061 | 1,860–2,211 | 96% | 36.8 |
| Shanghai (Hongqiao)上海(虹桥) | 58367099999 | W32, 5 K | ≤ 27 | 6,977 | 6,701–7,337 | 96% | 36.8 |
| Shanghai (Hongqiao)上海(虹桥) | 58367099999 | W32, 10 K | ≤ 22 | 5,369 | 5,176–5,552 | 96% | 36.8 |
| Shanghai (Hongqiao)上海(虹桥) | 58367099999 | W32, 15 K | ≤ 17 | 3,859 | 3,746–3,933 | 96% | 36.8 |
| Shanghai (Hongqiao)上海(虹桥) | 58367099999 | W40, 5 K | ≤ 35 | 8,642 | 8,535–8,742 | 96% | 36.8 |
| Shanghai (Hongqiao)上海(虹桥) | 58367099999 | W40, 10 K | ≤ 30 | 7,925 | 7,644–8,123 | 96% | 36.8 |
| Shanghai (Hongqiao)上海(虹桥) | 58367099999 | W40, 15 K | ≤ 25 | 6,321 | 6,105–6,638 | 96% | 36.8 |
| Shanghai (Hongqiao)上海(虹桥) | 58367099999 | W45, 5 K | ≤ 40 | 8,760 | 8,760–8,760 | 96% | 36.8 |
| Shanghai (Hongqiao)上海(虹桥) | 58367099999 | W45, 10 K | ≤ 35 | 8,642 | 8,535–8,742 | 96% | 36.8 |
| Shanghai (Hongqiao)上海(虹桥) | 58367099999 | W45, 15 K | ≤ 30 | 7,925 | 7,644–8,123 | 96% | 36.8 |
| Hokkaido (Sapporo)北海道(札幌) | 47412099999 | W20, 5 K | ≤ 15 | 5,530 | 5,414–5,740 | 82% | 30.7 |
| Hokkaido (Sapporo)北海道(札幌) | 47412099999 | W20, 10 K | ≤ 10 | 4,336 | 4,222–4,585 | 82% | 30.7 |
| Hokkaido (Sapporo)北海道(札幌) | 47412099999 | W20, 15 K | ≤ 5 | 3,156 | 2,761–3,421 | 82% | 30.7 |
| Hokkaido (Sapporo)北海道(札幌) | 47412099999 | W25, 5 K | ≤ 20 | 6,836 | 6,534–7,051 | 82% | 30.7 |
| Hokkaido (Sapporo)北海道(札幌) | 47412099999 | W25, 10 K | ≤ 15 | 5,530 | 5,414–5,740 | 82% | 30.7 |
| Hokkaido (Sapporo)北海道(札幌) | 47412099999 | W25, 15 K | ≤ 10 | 4,336 | 4,222–4,585 | 82% | 30.7 |
| Hokkaido (Sapporo)北海道(札幌) | 47412099999 | W32, 5 K | ≤ 27 | 8,474 | 8,264–8,635 | 82% | 30.7 |
| Hokkaido (Sapporo)北海道(札幌) | 47412099999 | W32, 10 K | ≤ 22 | 7,402 | 6,969–7,601 | 82% | 30.7 |
| Hokkaido (Sapporo)北海道(札幌) | 47412099999 | W32, 15 K | ≤ 17 | 6,018 | 5,894–6,089 | 82% | 30.7 |
| Hokkaido (Sapporo)北海道(札幌) | 47412099999 | W40, 5 K | ≤ 35 | 8,760 | 8,759–8,760 | 82% | 30.7 |
| Hokkaido (Sapporo)北海道(札幌) | 47412099999 | W40, 10 K | ≤ 30 | 8,694 | 8,642–8,741 | 82% | 30.7 |
| Hokkaido (Sapporo)北海道(札幌) | 47412099999 | W40, 15 K | ≤ 25 | 8,161 | 7,791–8,379 | 82% | 30.7 |
| Hokkaido (Sapporo)北海道(札幌) | 47412099999 | W45, 5 K | ≤ 40 | 8,760 | 8,760–8,760 | 82% | 30.7 |
| Hokkaido (Sapporo)北海道(札幌) | 47412099999 | W45, 10 K | ≤ 35 | 8,760 | 8,759–8,760 | 82% | 30.7 |
| Hokkaido (Sapporo)北海道(札幌) | 47412099999 | W45, 15 K | ≤ 30 | 8,694 | 8,642–8,741 | 82% | 30.7 |
| Kyushu (Fukuoka)九州(福冈) | 47807099999 | W20, 5 K | ≤ 15 | 3,443 | 3,275–3,743 | 82% | 34.6 |
| Kyushu (Fukuoka)九州(福冈) | 47807099999 | W20, 10 K | ≤ 10 | 1,815 | 1,474–2,115 | 82% | 34.6 |
| Kyushu (Fukuoka)九州(福冈) | 47807099999 | W20, 15 K | ≤ 5 | 402 | 177–625 | 82% | 34.6 |
| Kyushu (Fukuoka)九州(福冈) | 47807099999 | W25, 5 K | ≤ 20 | 4,983 | 4,732–5,272 | 82% | 34.6 |
| Kyushu (Fukuoka)九州(福冈) | 47807099999 | W25, 10 K | ≤ 15 | 3,443 | 3,275–3,743 | 82% | 34.6 |
| Kyushu (Fukuoka)九州(福冈) | 47807099999 | W25, 15 K | ≤ 10 | 1,815 | 1,474–2,115 | 82% | 34.6 |
| Kyushu (Fukuoka)九州(福冈) | 47807099999 | W32, 5 K | ≤ 27 | 7,185 | 6,891–7,523 | 82% | 34.6 |
| Kyushu (Fukuoka)九州(福冈) | 47807099999 | W32, 10 K | ≤ 22 | 5,591 | 5,272–5,775 | 82% | 34.6 |
| Kyushu (Fukuoka)九州(福冈) | 47807099999 | W32, 15 K | ≤ 17 | 4,037 | 3,840–4,477 | 82% | 34.6 |
| Kyushu (Fukuoka)九州(福冈) | 47807099999 | W40, 5 K | ≤ 35 | 8,735 | 8,696–8,750 | 82% | 34.6 |
| Kyushu (Fukuoka)九州(福冈) | 47807099999 | W40, 10 K | ≤ 30 | 8,109 | 7,755–8,290 | 82% | 34.6 |
| Kyushu (Fukuoka)九州(福冈) | 47807099999 | W40, 15 K | ≤ 25 | 6,538 | 6,377–6,862 | 82% | 34.6 |
| Kyushu (Fukuoka)九州(福冈) | 47807099999 | W45, 5 K | ≤ 40 | 8,760 | 8,760–8,760 | 82% | 34.6 |
| Kyushu (Fukuoka)九州(福冈) | 47807099999 | W45, 10 K | ≤ 35 | 8,735 | 8,696–8,750 | 82% | 34.6 |
| Kyushu (Fukuoka)九州(福冈) | 47807099999 | W45, 15 K | ≤ 30 | 8,109 | 7,755–8,290 | 82% | 34.6 |
Build scale, power, water, efficiency rules, main policies and climate, each as a status tag, so regions can be compared field by field without a combined score.建设规模、电力、水、能效要求、主要政策和气候,各用一个状态标签;地区之间逐项比较,不做综合评分。
The owner's HVAC reading of what these limits mean for the cooling plant, built on the hours a dry cooler alone can make water from W20 to W45 (above).站长从 HVAC 角度判断这些限制对冷站意味着什么,依据是上面仅靠干冷器制出 W20 至 W45 水的小时数。
| Region地区 | Code代码 | Status状态 | Monthly-report policy records月报政策记录 | Monthly-report projects月报项目 | Monthly-report investment records月报投资记录 |
|---|---|---|---|---|---|
| United States美国 | US | Country page live国家页已上线 | 6 | 22 | 32 |
| Australia澳大利亚 | AU | Country page live国家页已上线 | 4 | 4 | 5 |
| New Zealand新西兰 | NZ | Country page live国家页已上线 | 0 | 1 | 1 |
| Malaysia马来西亚 | MY | Country page live国家页已上线 | 2 | 6 | 7 |
| Singapore新加坡 | SG | Country page live国家页已上线 | 3 | 2 | 2 |
| Indonesia印度尼西亚 | ID | Country page live国家页已上线 | 1 | 3 | 4 |
| Japan日本 | JP | Country page live国家页已上线 | 2 | 7 | 8 |
| Taiwan台湾 | TW | Country page live国家页已上线 | 0 | 0 | 0 |
| South Korea韩国 | KR | Country page live国家页已上线 | 2 | 0 | 0 |
| China (mainland)中国大陆 | CN | Country page live国家页已上线 | 5 | 0 | 1 |