考虑地形影响的太阳能资源精细化评估及技术可开发量计算

TK519%TM615; [目的]我国提出"碳达峰、碳中和"目标,意味着到2030年,我国风电、光伏发电总装机容量要在现有基础上增加2倍以上,大力开发包括太阳能资源在内的可再生清洁能源已成为国际社会的共识.文章以湖北省房县为例,通过引入再分析资料及地形数据,开展太阳能资源的精细化评估,计算技术可开发量,为合理开发利用太阳能资源提供数据支撑.[方法]通过位于该县境内的 1个辐射观测站(A站)2012~2020年辐射观测数据,对临近的ERA5再分析资料进行订正,形成2000~2020年精度为0.1°×0.1°的辐射格点产品,同时考虑坡度、坡向、海拔高度等对辐射的影响,采用GIS...

Full description

Saved in:
Bibliographic Details
Published in南方能源建设 Vol. 11; no. 1; pp. 10 - 18
Main Authors 孙朋杰, 何飞, 陈正洪, 孟丹
Format Journal Article
LanguageChinese
Published 鄂州市气象局,湖北鄂州 436000%湖北省气象服务中心,湖北武汉 430205 2024
Subjects
Online AccessGet full text
ISSN2095-8676
DOI10.16516/j.ceec.2024.1.02

Cover

Abstract TK519%TM615; [目的]我国提出"碳达峰、碳中和"目标,意味着到2030年,我国风电、光伏发电总装机容量要在现有基础上增加2倍以上,大力开发包括太阳能资源在内的可再生清洁能源已成为国际社会的共识.文章以湖北省房县为例,通过引入再分析资料及地形数据,开展太阳能资源的精细化评估,计算技术可开发量,为合理开发利用太阳能资源提供数据支撑.[方法]通过位于该县境内的 1个辐射观测站(A站)2012~2020年辐射观测数据,对临近的ERA5再分析资料进行订正,形成2000~2020年精度为0.1°×0.1°的辐射格点产品,同时考虑坡度、坡向、海拔高度等对辐射的影响,采用GIS技术方法建立基于地理信息的辐射模型.基于LandsatTM/ETM/OLI遥感影像资料,引入土地利用类型数据,考虑光伏开发的限制因素和不同土地类型的可利用率.[结果]将模型模拟结果与区域内另外2个辐射观测站(B站、C站)实际观测数据进行对比.从整年总体情况看,B站年平均相对误差为5.7%,C站年平均相对误差为3.4%;从各月辐射看,B站相对误差在2%(1月)~14.1%(8月)之间,C站相对误差在0.1%(2月)~15.4%(6月)之间,所建模型能较好反映实际辐射情况.[结论]根据模拟结果,得到房县太阳能资源分布情况,年总辐射在4.00~4.13GJ/m2,空间上呈现中部河谷风地区的资源多,南、北高海拔山区的资源少的分布.经计算,得到房县光伏发电可开发面积为60.7 km2,技术开发量为4.501 GW.
AbstractList TK519%TM615; [目的]我国提出"碳达峰、碳中和"目标,意味着到2030年,我国风电、光伏发电总装机容量要在现有基础上增加2倍以上,大力开发包括太阳能资源在内的可再生清洁能源已成为国际社会的共识.文章以湖北省房县为例,通过引入再分析资料及地形数据,开展太阳能资源的精细化评估,计算技术可开发量,为合理开发利用太阳能资源提供数据支撑.[方法]通过位于该县境内的 1个辐射观测站(A站)2012~2020年辐射观测数据,对临近的ERA5再分析资料进行订正,形成2000~2020年精度为0.1°×0.1°的辐射格点产品,同时考虑坡度、坡向、海拔高度等对辐射的影响,采用GIS技术方法建立基于地理信息的辐射模型.基于LandsatTM/ETM/OLI遥感影像资料,引入土地利用类型数据,考虑光伏开发的限制因素和不同土地类型的可利用率.[结果]将模型模拟结果与区域内另外2个辐射观测站(B站、C站)实际观测数据进行对比.从整年总体情况看,B站年平均相对误差为5.7%,C站年平均相对误差为3.4%;从各月辐射看,B站相对误差在2%(1月)~14.1%(8月)之间,C站相对误差在0.1%(2月)~15.4%(6月)之间,所建模型能较好反映实际辐射情况.[结论]根据模拟结果,得到房县太阳能资源分布情况,年总辐射在4.00~4.13GJ/m2,空间上呈现中部河谷风地区的资源多,南、北高海拔山区的资源少的分布.经计算,得到房县光伏发电可开发面积为60.7 km2,技术开发量为4.501 GW.
Abstract_FL [Introduction]To achieve"carbon peaking and carbon neutrality"goals,the total installed capacity of wind and photovoltaic power generation in China will have to be increased by more than twice the current level by 2030.The international community has reached a consensus on developing solar energy resources and other kinds of renewable and clean energy vigorously.In this article,taking Fang County in Hubei Province as an example,a refined evaluation of solar energy resources is conducted and the technical exploitable capacity is calculated by combining reanalysis data and terrain data to provide data support for the appropriate development and utilization of solar energy resources.[Method]The reanalysis data of nearby ERA5 were corrected and a radiation grid product with an accuracy of 0.1°x0.1° was produced based on the radiation observation data obtained from 2012 to 2020 in one radiation observation station(Station A)located in the county.A geographic information-based radiation model was established by using GIS technology and considering factors such as slope,aspect,altitude,and their impact on radiation.Based on Landsat TM/ETM/OLI remote sensing image data and incorporating land use type data,the limitations of photovoltaic development and the availability of different land types were discussed.[Result]The built model can satisfactorily reflect the actual radiation situation.The model simulation results are compared with the actual observation data in two other radiation observation stations(Station B and C)in the region and the results are that,considering the overall situation throughout the year,the annual average relative errors of Station B and Sstation C is 5.7%and 3.4%,respectively,and from the perspective of the monthly radiation,the relative error of Station B is between 2%(January)and 14.1%(August),and that of Station C is between 0.1%(February)and 15.4%(June).[Conclusion]Based on the simulation results,it is clear how solar energy resources are distributed in Fangxian County.Spatially,there are more resources in the windy region of the central valley and fewer resources in the high-altitude mountainous areas in the south and north,with an annual total radiation of 4.00~4.13 GJ/m2.It is calculated that the exploitable area for photovoltaic power generation in Fangxian County is 60.7 km2,and the technological development capacity is 4.501 GW.
Author 孟丹
何飞
孙朋杰
陈正洪
AuthorAffiliation 鄂州市气象局,湖北鄂州 436000%湖北省气象服务中心,湖北武汉 430205
AuthorAffiliation_xml – name: 鄂州市气象局,湖北鄂州 436000%湖北省气象服务中心,湖北武汉 430205
Author_FL MENG Dan
CHEN Zhenghong
SUN Pengjie
HE Fei
Author_FL_xml – sequence: 1
  fullname: SUN Pengjie
– sequence: 2
  fullname: HE Fei
– sequence: 3
  fullname: CHEN Zhenghong
– sequence: 4
  fullname: MENG Dan
Author_xml – sequence: 1
  fullname: 孙朋杰
– sequence: 2
  fullname: 何飞
– sequence: 3
  fullname: 陈正洪
– sequence: 4
  fullname: 孟丹
BookMark eNotj71Kw0AAgG-oYK19AJ_AKfH-cxml-AdFF51L7poTi1zBIOIWaFEoSiyCf3RRnByaqrho49N4TfoWKjp92_fxzYGSaZsQgAUEXcQZ4kstV4WhcjHE1EUuxCVQxtBnjuAenwXVKNqTkHBKmI9oGWwWcae47dvByGYPNnu2l-f5Xdc-Pk1vXotOVrx1J-8X-ctn_nFiz66KtPs1HtmkN-nFk0Fqk9SOY5v0p6dJMbzPh9fzYEYH-1FY_WcF7KyubNfWnfrW2kZtue5ECGLiCOhrpJSUUGDNFBNNHAjJGW0GvoRMhAFhyqOa-lJxQSXGnhYKkZBBRrlHSQUs_nmPAqMDs9totQ8PzE-xYbQ5bkW_9xBBSMg398RtlA
ClassificationCodes TK519%TM615
ContentType Journal Article
Copyright Copyright © Wanfang Data Co. Ltd. All Rights Reserved.
Copyright_xml – notice: Copyright © Wanfang Data Co. Ltd. All Rights Reserved.
DBID 2B.
4A8
92I
93N
PSX
TCJ
DOI 10.16516/j.ceec.2024.1.02
DatabaseName Wanfang Data Journals - Hong Kong
WANFANG Data Centre
Wanfang Data Journals
万方数据期刊 - 香港版
China Online Journals (COJ)
China Online Journals (COJ)
DatabaseTitleList
DeliveryMethod fulltext_linktorsrc
DocumentTitle_FL Refined Assessment of Solar Energy Resources and Calculation of Technical Exploitable Capacity Considering Terrain Influence
EndPage 18
ExternalDocumentID nfnyjs202401003
GrantInformation_xml – fundername: (湖北省自然科学基金); (中国气象局公共气象服务中心创新基金项目); (湖北省自然科学基金)
  funderid: (湖北省自然科学基金); (中国气象局公共气象服务中心创新基金项目); (湖北省自然科学基金)
GroupedDBID -0C
-SC
-S~
2B.
2RA
4A8
5VR
92I
92M
93N
9D9
9DC
AAITT
AFUIB
ALMA_UNASSIGNED_HOLDINGS
CAJEC
CQIGP
FA0
GROUPED_DOAJ
JUIAU
PB1
PB9
PSX
Q--
Q-2
R-C
RT3
T8S
TCJ
U1F
U5C
~MF
ID FETCH-LOGICAL-s1023-809f1ccbb082f5c58d2a8b654da9b058ea35c74f49bc684b227f8c13e50546743
ISSN 2095-8676
IngestDate Thu May 29 04:08:31 EDT 2025
IsPeerReviewed true
IsScholarly true
Issue 1
Keywords 土地利用率
辐射
技术可开发量
radiation
geographic information
refinement
地理信息
technology development capacity
精细化
land use rate
Language Chinese
LinkModel OpenURL
MergedId FETCHMERGED-LOGICAL-s1023-809f1ccbb082f5c58d2a8b654da9b058ea35c74f49bc684b227f8c13e50546743
PageCount 9
ParticipantIDs wanfang_journals_nfnyjs202401003
PublicationCentury 2000
PublicationDate 2024
PublicationDateYYYYMMDD 2024-01-01
PublicationDate_xml – year: 2024
  text: 2024
PublicationDecade 2020
PublicationTitle 南方能源建设
PublicationTitle_FL Southern Energy Construction
PublicationYear 2024
Publisher 鄂州市气象局,湖北鄂州 436000%湖北省气象服务中心,湖北武汉 430205
Publisher_xml – name: 鄂州市气象局,湖北鄂州 436000%湖北省气象服务中心,湖北武汉 430205
SSID ssib036435914
ssib027972690
ssib051370572
ssib022319484
ssj0002857244
Score 2.3395708
Snippet TK519%TM615;...
SourceID wanfang
SourceType Aggregation Database
StartPage 10
Title 考虑地形影响的太阳能资源精细化评估及技术可开发量计算
URI https://d.wanfangdata.com.cn/periodical/nfnyjs202401003
Volume 11
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3Na9RAFA-lIngRRcVvenBOkppMZpKZY7KbpQj21EJvJckmSg8r2PZgT4UWhaKsRfCLXhRPHtqqeNHWv8Z0t_-F771Jd0O74Mcl_PbNmzdv3mNm3szOh2Xdcj3Vzhye2tAIuQ29n2Pr1FG2cLMs1ynE2HTP7L1pf2pW3J2Tc2Pjp2u7lpaX0slsZeS5kv_xKtDAr3hK9h88OxAKBMDgX_iCh-H7Vz5mscKdCspDoDXTLosl0w0WOQiiJgt5BSKT5DHVZHHAdMiUQEooWBiyGPIqFpEckAb8ACJJPD6LQqYdzBVxFsUEIqZ8zK4aTPvIHLaIWbDoqHQFlBCzwxeUBACKAZtJMgCY1REzKq-ZChCjwJiFLpYFwOytPYqhib8JRJIJ6uma2gNtJSoJ2IiKBgcuqNJNtJbRSEUEwELOkEWgLC1RodBjupZZY06lMA9IgUQsEW14XH6LpIAVdX1hhQ-XVKm2EMkbD4FLYgKKKD4aUQtyg0uGkAhwo2aDUjXZ3TggOCnqtvAgxgRuOYo7oIq7o4oxNmkSc0gUqkVIlKiFZh6tgbGHT0mgqAYNYI4ghwMNhzDbVr55h2cwKronWr8Z4qpdyCZYMmPniWHYl7QktDAJIRjeE8rFJF6NO4w5BjtBO0Xn8cIicjgu3dp7igeBK2trIzAwQAjrajE8UM0DHfDa37sehNWydk-hdL0A5iF8sNjKFfyih50Hda12OKCmd47rSQf4OkXSuV-LNWfOWWerSeJEaFr8eWts5cEFa7q_utZ_u1lu7Zb7H8r9z-XL57136-XHT4dvvvbX9vvf1g--v-h9-dn78aR89qq_s_5rb7fsbhxsrB5s7ZTdnXJvtexuHj7t9rff97ZfX7RmW_FMY8quXkOxF_F6FQgldQEdaAo9KS9kJlWbJyr1pWgn0LtKlSeezAJRCJ1mvhIp50GhMtfLYY6DTwp5l6zxzsNOftmaKHJH8nbiZWnGRZCl2k-SzG_nBYQ_WdEWV6yJqv7zVW-3OH_MUVf_zHLNOoPYrFdet8aXHi3nNyCCX0pvknd_A19itJA
linkProvider Directory of Open Access Journals
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=%E8%80%83%E8%99%91%E5%9C%B0%E5%BD%A2%E5%BD%B1%E5%93%8D%E7%9A%84%E5%A4%AA%E9%98%B3%E8%83%BD%E8%B5%84%E6%BA%90%E7%B2%BE%E7%BB%86%E5%8C%96%E8%AF%84%E4%BC%B0%E5%8F%8A%E6%8A%80%E6%9C%AF%E5%8F%AF%E5%BC%80%E5%8F%91%E9%87%8F%E8%AE%A1%E7%AE%97&rft.jtitle=%E5%8D%97%E6%96%B9%E8%83%BD%E6%BA%90%E5%BB%BA%E8%AE%BE&rft.au=%E5%AD%99%E6%9C%8B%E6%9D%B0&rft.au=%E4%BD%95%E9%A3%9E&rft.au=%E9%99%88%E6%AD%A3%E6%B4%AA&rft.au=%E5%AD%9F%E4%B8%B9&rft.date=2024&rft.pub=%E9%84%82%E5%B7%9E%E5%B8%82%E6%B0%94%E8%B1%A1%E5%B1%80%2C%E6%B9%96%E5%8C%97%E9%84%82%E5%B7%9E+436000%25%E6%B9%96%E5%8C%97%E7%9C%81%E6%B0%94%E8%B1%A1%E6%9C%8D%E5%8A%A1%E4%B8%AD%E5%BF%83%2C%E6%B9%96%E5%8C%97%E6%AD%A6%E6%B1%89+430205&rft.issn=2095-8676&rft.volume=11&rft.issue=1&rft.spage=10&rft.epage=18&rft_id=info:doi/10.16516%2Fj.ceec.2024.1.02&rft.externalDocID=nfnyjs202401003
thumbnail_s http://utb.summon.serialssolutions.com/2.0.0/image/custom?url=http%3A%2F%2Fwww.wanfangdata.com.cn%2Fimages%2FPeriodicalImages%2Fnfnyjs%2Fnfnyjs.jpg