在净零系统的背景下预测绿地规划的能源需求、供应和碳足迹:澳大利亚新南威尔士州西悉尼航空城的案例研究

IF 5.4 Q2 ENERGY & FUELS Smart Energy Pub Date : 2023-08-04 DOI:10.1016/j.segy.2023.100117
Gobinath Rajarathnam , Kentaro Shikata , Arian Zahedmanesh , Naohiko Matsuda , Gustavo Fimbres Weihs , Gregor Verbic , Ali Abbas
{"title":"在净零系统的背景下预测绿地规划的能源需求、供应和碳足迹:澳大利亚新南威尔士州西悉尼航空城的案例研究","authors":"Gobinath Rajarathnam ,&nbsp;Kentaro Shikata ,&nbsp;Arian Zahedmanesh ,&nbsp;Naohiko Matsuda ,&nbsp;Gustavo Fimbres Weihs ,&nbsp;Gregor Verbic ,&nbsp;Ali Abbas","doi":"10.1016/j.segy.2023.100117","DOIUrl":null,"url":null,"abstract":"<div><p>Greenfield precincts offer an opportunity to develop energy hubs, which can help the transition to carbon neutrality. However, this requires a detailed demand model, which is often not available in the early planning stages. To address this need, this paper proposes a novel methodology for building a demand model using available information, including types of zones/sectors present on-site, historical energy consumption of those sectors at a national level, and energy consumption studies on floor-stock basis (i.e., floor area). We apply this approach in a case study energizing the proposed Aerotropolis Core Precinct (ACP) within the wider Aerotropolis site to be constructed in Western Sydney, New South Wales, Australia. The model also looks at supplying this demand, and the corresponding associated emissions, for the years 2025, 2035 and 2050 – in line with Australia’s Net Zero-time horizon. Results show that ACP demand increases from 368 GWh in 2025 to 1,233 GWh in 2035 then 1,444 GWh in 2050, as is expected moving from partial to full operation and accounting for temperature-dependent demand fluctuations. Electrical demand is 62% of total demand, while thermal is 38%. Generated supply is estimated to increase from 221 MW (2025) to 866 MW (2035) and 1,077 MW (2050), accounting for capacity factors. Emissions associated with that demand will change from 185 ktCO<sub>2</sub>eq to 229 ktCO<sub>2</sub>eq then decrease to 201 ktCO<sub>2</sub>eq due to an increasingly “greener” technology mix predicted (i.e., no use of coal due to shutdowns of coal-fired power plants, and very little gas use by 2050). These methods and estimates provide a decision-making basis for government policy-making, energy planning, and technology supply for greenfield sites, as well as provide a platform to invite stakeholder engagement.</p></div>","PeriodicalId":34738,"journal":{"name":"Smart Energy","volume":"12 ","pages":"Article 100117"},"PeriodicalIF":5.4000,"publicationDate":"2023-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Forecasting energy demand, supply, and carbon footprint for greenfield planning in the context of net zero systems: Case study on Western Sydney Aerotropolis in New South Wales, Australia\",\"authors\":\"Gobinath Rajarathnam ,&nbsp;Kentaro Shikata ,&nbsp;Arian Zahedmanesh ,&nbsp;Naohiko Matsuda ,&nbsp;Gustavo Fimbres Weihs ,&nbsp;Gregor Verbic ,&nbsp;Ali Abbas\",\"doi\":\"10.1016/j.segy.2023.100117\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Greenfield precincts offer an opportunity to develop energy hubs, which can help the transition to carbon neutrality. However, this requires a detailed demand model, which is often not available in the early planning stages. To address this need, this paper proposes a novel methodology for building a demand model using available information, including types of zones/sectors present on-site, historical energy consumption of those sectors at a national level, and energy consumption studies on floor-stock basis (i.e., floor area). We apply this approach in a case study energizing the proposed Aerotropolis Core Precinct (ACP) within the wider Aerotropolis site to be constructed in Western Sydney, New South Wales, Australia. The model also looks at supplying this demand, and the corresponding associated emissions, for the years 2025, 2035 and 2050 – in line with Australia’s Net Zero-time horizon. Results show that ACP demand increases from 368 GWh in 2025 to 1,233 GWh in 2035 then 1,444 GWh in 2050, as is expected moving from partial to full operation and accounting for temperature-dependent demand fluctuations. Electrical demand is 62% of total demand, while thermal is 38%. Generated supply is estimated to increase from 221 MW (2025) to 866 MW (2035) and 1,077 MW (2050), accounting for capacity factors. Emissions associated with that demand will change from 185 ktCO<sub>2</sub>eq to 229 ktCO<sub>2</sub>eq then decrease to 201 ktCO<sub>2</sub>eq due to an increasingly “greener” technology mix predicted (i.e., no use of coal due to shutdowns of coal-fired power plants, and very little gas use by 2050). These methods and estimates provide a decision-making basis for government policy-making, energy planning, and technology supply for greenfield sites, as well as provide a platform to invite stakeholder engagement.</p></div>\",\"PeriodicalId\":34738,\"journal\":{\"name\":\"Smart Energy\",\"volume\":\"12 \",\"pages\":\"Article 100117\"},\"PeriodicalIF\":5.4000,\"publicationDate\":\"2023-08-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Smart Energy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2666955223000242\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Smart Energy","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666955223000242","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0

摘要

绿地区提供了发展能源中心的机会,这有助于向碳中和过渡。然而,这需要一个详细的需求模型,而这在早期规划阶段通常是不可用的。为了满足这一需求,本文提出了一种利用现有信息构建需求模型的新方法,包括现场存在的区域/部门类型、这些部门在国家层面的历史能源消耗,以及基于建筑存量(即建筑面积)的能源消耗研究。我们在一个案例研究中应用了这种方法,为拟建的Aerotropolis核心区(ACP)提供了动力,该核心区位于澳大利亚新南威尔士州西悉尼更广阔的Aerotropolis场地内。该模型还着眼于在2025年、2035年和2050年提供这一需求以及相应的相关排放量,这与澳大利亚的净零排放时间范围一致。结果显示,ACP需求从2025年的368 GWh增加到2035年的1233 GWh,然后在2050年增加到1444 GWh,预计将从部分运营转向全面运营,并考虑到温度相关的需求波动。电力需求占总需求的62%,而热能需求占38%。考虑到容量因素,发电量预计将从221兆瓦(2025年)增加到866兆瓦(2035年)和1077兆瓦(2050年)。与该需求相关的排放量将从1.85亿二氧化碳当量变为229亿二氧化碳当量,然后由于预测的技术组合越来越“绿色”(即,由于燃煤发电厂的关闭,不使用煤炭,到2050年,天然气使用量非常少),排放量将降至201亿二氧化碳当量。这些方法和估算为政府决策、能源规划和绿地技术供应提供了决策基础,并为邀请利益相关者参与提供了平台。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Forecasting energy demand, supply, and carbon footprint for greenfield planning in the context of net zero systems: Case study on Western Sydney Aerotropolis in New South Wales, Australia

Greenfield precincts offer an opportunity to develop energy hubs, which can help the transition to carbon neutrality. However, this requires a detailed demand model, which is often not available in the early planning stages. To address this need, this paper proposes a novel methodology for building a demand model using available information, including types of zones/sectors present on-site, historical energy consumption of those sectors at a national level, and energy consumption studies on floor-stock basis (i.e., floor area). We apply this approach in a case study energizing the proposed Aerotropolis Core Precinct (ACP) within the wider Aerotropolis site to be constructed in Western Sydney, New South Wales, Australia. The model also looks at supplying this demand, and the corresponding associated emissions, for the years 2025, 2035 and 2050 – in line with Australia’s Net Zero-time horizon. Results show that ACP demand increases from 368 GWh in 2025 to 1,233 GWh in 2035 then 1,444 GWh in 2050, as is expected moving from partial to full operation and accounting for temperature-dependent demand fluctuations. Electrical demand is 62% of total demand, while thermal is 38%. Generated supply is estimated to increase from 221 MW (2025) to 866 MW (2035) and 1,077 MW (2050), accounting for capacity factors. Emissions associated with that demand will change from 185 ktCO2eq to 229 ktCO2eq then decrease to 201 ktCO2eq due to an increasingly “greener” technology mix predicted (i.e., no use of coal due to shutdowns of coal-fired power plants, and very little gas use by 2050). These methods and estimates provide a decision-making basis for government policy-making, energy planning, and technology supply for greenfield sites, as well as provide a platform to invite stakeholder engagement.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Smart Energy
Smart Energy Engineering-Mechanical Engineering
CiteScore
9.20
自引率
0.00%
发文量
29
审稿时长
73 days
期刊最新文献
Optimization of baseload electricity and hydrogen services by renewables for a nuclear-sized district in South Italy Optimizing solar energy integration in Tallinn's district heating and cooling systems Predictive building energy management with user feedback in the loop Optimal energy management in smart energy systems: A deep reinforcement learning approach and a digital twin case-study Economic viability of decentralised battery storage systems for single-family buildings up to cross-building utilisation
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1