XiaoMi-AI文件搜索系统
World File Search SystemOREC
海上风电市场报告：2024 年版
BNEF 彭博新能源财经 BOEM 海洋能源管理局 BSEE 安全与环境执法局 CAISO 加州独立系统运营商 CapEx 资本支出 COD 商业运营日期 COP 建设与运营计划 CTV 船员转运船 DOE 美国能源部 DOT 美国运输部 GW 吉瓦 IRA 通胀削减法案 IRS 美国国税局 ITC 投资税收抵免 km 公里 kW 千瓦 LCOE 平准化能源成本 m 米 MW 兆瓦 MWh 兆瓦时 NREL 国家可再生能源实验室 NY PSC 纽约公共服务委员会 NYISO 纽约独立系统运营商 NYSERDA 纽约州能源研究与发展局 OCS 外大陆架 OEM 原始设备制造商 OREC 海上风电可再生能源证书 OWDB 海上风电数据库 SGRE 西门子歌美飒可再生能源 SOFR 担保隔夜融资利率 SOV 服务运营船 USD 美元 WTIV 风力涡轮机安装船
海上风电 - 招标 3 - 利益相关者... - NJ.gov
6 关于公共事业委员会 1,100 兆瓦海上风电招标——海上风电申请评估，BPU 案卷编号 QO18121289，命令日期为 2019 年 6 月 21 日（“2019 年 6 月 21 日命令”）。 7 关于为执行第 8 号行政命令和第 92 号行政命令，开放 1,200 至 2,400 兆瓦海上风电容量的海上风电可再生能源证书 (OREC) 申请窗口，BPU 案卷编号 QO20080555，命令日期为 2020 年 9 月 9 日。8 关于公共事业委员会 1,200 至 2,400 兆瓦海上风电招标 2 – Atlantic Shores 海上风电项目 1, LLC，BPU 案卷编号 QO21050824，命令日期为 2021 年 6 月 30 日（“Atlantic Shores 2021 年 6 月 1 日命令”）；关于公用事业委员会海上风电招标 2（1,200 至 2,400 MW）– Ocean Wind II, LLC，BPU 案卷编号 QO21050825，命令日期为 2021 年 6 月 30 日（“Ocean Wind II 2021 年 6 月命令”）。9 关于宣布输电以支持海上风电成为新泽西州公共政策，BPU 案卷编号 QO20100630，命令日期为 2022 年 10 月 26 日。
在中央大西洋超过超过的水域中漂浮海上风能的挑战和机会
AHTS anchor handling tug supply (vessel) API American Petroleum Institute Area ID Area Identification BOEM Bureau of Ocean Energy Management BSEE Bureau of Safety and Environmental Enforcement COP Construction and Operations Plan CTV crew transfer vessel CVOW Coastal Virginia Offshore Wind DNREC Delaware Natural Resources Environmental Control DOE U.S. Department of Energy EIA U.S. Energy Information Administration ft feet GW gigawatt HVDC high-voltage direct current IEC International Electrotechnical Commission km kilometer LCOE levelized cost of energy m meter mi mile m/s meters per second MW megawatt NOAA National Oceanic and Atmospheric Administration NOW-23 2023 National Offshore Wind data set NOWRDC National Offshore Wind Research and Development Consortium NREL National Renewable Energy Laboratory OCS Outer Continental Shelf OREC Offshore Renewable Energy Credit PSN Proposed Sale Notice ROD Record of决定第二个SAP站点评估计划WEA风能区WTIV风力涡轮机安装船
安装太阳能电池板和储能的案例研究...
表列表表3。1个城市信息，包括其整体和建筑物的二氧化碳排放，研究中包括的主要和次要结果以及气候缓解计划。.............................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................2 Building's Energy Efficiency ....................................................................................... 39 Table 3.3电气和地区能源........................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................... 44表3。4财务机制............................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................... 49表3。5 Education and Capacity Building ................................................................................ 52 Table 3.6 Collaboration ............................................................................................................... 55 Table 4.1加拿大太阳能和Trina PV面板效率和价格..................................................................................................................................................................................................................................................................................................................................................... 67表4。 2 PV项目分解结构[253] ..................................................................................................................................................................................................................................................................................................................................................................................................................................................................................... 67表4。 3渥太华可再生能源合作社（OREC）采用的PV项目成本[254] 4 Facility and climate data location ................................................................................ 73 Table 4. 5 PV系统评估和输入............................................................................................................................................................................................................................................................................... 75表4。1加拿大太阳能和Trina PV面板效率和价格..................................................................................................................................................................................................................................................................................................................................................... 67表4。2 PV项目分解结构[253] ..................................................................................................................................................................................................................................................................................................................................................................................................................................................................................... 67表4。3渥太华可再生能源合作社（OREC）采用的PV项目成本[254]4 Facility and climate data location ................................................................................ 73 Table 4.5 PV系统评估和输入............................................................................................................................................................................................................................................................................... 75表4。6从RetScreen数据库采用的光伏项目的安装费用[189] ......... 76表4。7 Financial parameters .................................................................................................... 77 Table 4.8 GHG emissions data .................................................................................................... 80 Table 4.9 Uottawa PV系统的预期材料（2019年）[273]采用并调整了。 ................................................................................................................................. 84 Table 4. 10材料将材料运送到现场的运输假设........................................................................................................................................................................................................................................................................................................................................................................................................................................................... 85表4。 11 uOttawa students' distribution .................................................................................... 87 Table 4. 12 ARC building monthly electricity load and peak demand (averaged from 2017 and 2018 hourly electricity demand) ................................................................................................... 89 Table 4. 13 Desired bank power and capacity and battery properties to simulate peak demand mitigation scenarios ...................................................................................................................... 91 Table 4. 14电池电压属性和电化学模型数据............................................................................................................................................................................................................................................................................................................................................................................................................................................................. 15热属性................................................................................................................................................................................................................................................... 95表4。 3总建筑物每月预期的电力发电和消费...............................................................................................................................................................................................................................9 Uottawa PV系统的预期材料（2019年）[273]采用并调整了。................................................................................................................................. 84 Table 4.10材料将材料运送到现场的运输假设........................................................................................................................................................................................................................................................................................................................................................................................................................................................... 85表4。11 uOttawa students' distribution .................................................................................... 87 Table 4.12 ARC building monthly electricity load and peak demand (averaged from 2017 and 2018 hourly electricity demand) ................................................................................................... 89 Table 4.13 Desired bank power and capacity and battery properties to simulate peak demand mitigation scenarios ...................................................................................................................... 91 Table 4.14电池电压属性和电化学模型数据............................................................................................................................................................................................................................................................................................................................................................................................................................................................. 15热属性................................................................................................................................................................................................................................................... 95表4。 3总建筑物每月预期的电力发电和消费...............................................................................................................................................................................................................................14电池电压属性和电化学模型数据.............................................................................................................................................................................................................................................................................................................................................................................................................................................................15热属性................................................................................................................................................................................................................................................... 95表4。3总建筑物每月预期的电力发电和消费...............................................................................................................................................................................................................................每个峰缓解场景的物理特性............................................................................................................................................................................................................................................. 95表4。17 Charge Limits and Priority ........................................................................................ 96 Table 4.18 Average 2017 and 2018 Global Adjustment cost for ARC building based on the building electricity load obtained from the campus sustainability office and Ontario load from the IESO Data Directory [210] ..................................................................................................... 98 Table 4.基于IESO数据目录的19 HOEP率[210] ............................................................................................................................................................................................................................. 99表5。1渥太华大学31栋建筑物的光伏分析.......................................................................................................................................................................................................................................................................................................................................2基于电力消耗，除了发电外，九座建筑物的预期电需求抵消了...................................................................................................................4建筑物PV系统初始成本和操作和维护（O＆M）成本....... 108表5。5 Financial viability results ........................................................................................... 109 Table 5.6 Cash Flow Table ........................................................................................................ 110 Table 5.7 Comparison of different PV system technology combinations ................................. 113 Table 5.8 Annual CO2 savings from the PV electricity generation and equivalent savings from various alternatives ..................................................................................................................... 114
机器人和自主系统以及英国海上风的操作和维护
简介2024年7月的近海可再生能源弹射器（OREC）调查结果报告概述了在英国海上风力部门的运营和维护（O＆M）中对机器人和自主系统（RAS）整合的关键见解和建议。该报告是由劳动力前瞻性中心开发的，它根据来自国际数据集和2023年10月进行的国际数据集和研讨会的数据提供了深入的分析。该报告强调了在机器人和自主系统中取得重大进步的必要性，可以到2050年实现英国雄心勃勃的零目标。海上风能必须增加七倍以上，需要在更深，更偏远的水域进行操作。该报告强调了RAS在离岸风O＆M未来的关键作用。通过应对技术和劳动力的挑战，并使教育提供与未来的职业需求保持一致，英国可以实现其净零目标，并确保其离岸风能的可持续增长。1.1远见主题的选择和利益相关者的讲习班和分析提供了对未来的组织和职业变革的关键见解，以满足离岸风经济的不断发展的需求。这些发现强调了增强设计，实现和物流功能的需求，以及对价值链中各种角色的未来职业概况的识别。总体而言，远见过程强调了使未来的劳动力能力与战略优先级和行业要求保持一致的重要性。它还强调了利益相关者之间进行持续合作的必要性，以确保培训和教育计划发展以满足该行业的新兴需求。各种利益相关者都从技术，学术界，工业和政府参与其中，以确保该过程全面满足该行业的未来需求。1.2组织变更有效地实施RA，组织必须调整其当前功能并在其价值链合作伙伴中分发这些更改。这包括采用新功能并调整其员工中知识和技能的分配。研讨会和分析的发现为未来的组织和职业所需的变更提供了关键的见解。未来的组织能力表明，与当前功能相比，对设计，实施和物流功能的需求提高了要求