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The Sustainable Water-Energy Nexus: Life-Cycle Impacts and Feasibility of Regional Energy and Water Supply Scenarios

机译:可持续水能联结:生命周期的影响和区域能源和供水情景的可行性

摘要

Water and energy are critical, interdependent, and regional resources, and effective planning and policies around which sources to use requires combining information on environmental impacts, cost, and availability. Questions around shifting energy and water sources towards more renewable options, as well as the potential role of natural gas from shale formations are under intense discussion. Decisions on these issues will be made in the shadow of climate change, which will both impact and be impacted by energy and water supplies. udThis work developed a model for calculating the life-cycle environmental impacts of regional energy and water supply scenarios (REWSS). The model was used to discuss future energy pathways in Pennsylvania, future electricity impacts in Brazil, and future water pathways in Arizona. To examine energy in Pennsylvania, this work also developed the first process-based life-cycle assessment (LCA) of shale gas, focusing on greenhouse gas (GHG) emissions, energy consumption, and water consumption. This LCA confirmed results that shale gas is similar to conventional gas in GHG emissions, though potentially has a lower net energy due to a wide range of production rates for wells.udBrazil’s electricity-related impacts will rise as development continues. GHG emissions are shown to double by 2020 due to expanded natural gas (NG) and coal usage, with a rise of 390% by 2040 posssible with tropical hydropower reservoirs. While uncertainty around reservoir impacts is large, Brazil’s low GHG emissions intensity and future carbon emissions targets are threatened by likely electricity scenarios.udPennsylvania’s energy-related impacts are likely to hinge on whether NG is used as a replacement for coal, allowing GHG emissions to drop and then plateau at 93% of 2010 values; or as a transition fuel to expanded renewable energy sources, showing a steady decrease to 86% in 2035. Increased use of biofuels will dominate land occupation and may dominate water consumption impacts, depending on irrigation – water consumption for energy rises from 7% to 18% under the base case. udArizona is further from major shale basins, but aims to reduce unsustainable groundwater usage. Desalination by itself will increase annual impacts by at least 2% in all impact categories by 2035, and prioritizing renewable energy sources along with desalination was found to lower GHGs by 1% from BAU, but increase 2035 impacts in all other categories by at least 10% from new construction or operation. udIn both PA and AZ, changes in impacts and shifting sources have interconnected tradeoffs, making the water-enegy nexus a key part of managing environmental problems such as climate change. Future energy and water supplies are also likely to show higher interdependencies, which may or may not improve regional sustainability. This work offers a way to combine four important sets of information to enable the generation of answers to key regional planning questions around these two key resources.
机译:水和能源是至关重要的,相互依存的区域性资源,有效的规划和政策必须围绕环境的使用,成本和可利用性等方面的信息进行综合利用。有关将能源和水资源转向更多可再生能源的选择,以及页岩地层天然气的潜在作用等问题,正在紧锣密鼓地讨论。关于这些问题的决定将在气候变化的阴影下做出,气候变化既会影响能源又会影响水的供应。 ud这项工作开发了一个模型,用于计算区域能源和供水情景(REWSS)对生命周期的环境影响。该模型用于讨论宾夕法尼亚州未来的能源路径,巴西未来的电力影响以及亚利桑那州的未来水路径。为了检查宾夕法尼亚州的能源,这项工作还开发了第一个基于过程的页岩气生命周期评估(LCA),重点是温室气体(GHG)排放,能源消耗和水消耗。该LCA确认的结果是,页岩气在温室气体排放方面与常规气体相似,但由于井的生产率多种多样,其潜在的净能源可能更低。随着发展的不断发展,巴西与电力相关的影响将越来越大。到2020年,由于天然气和煤炭使用量的增加,温室气体排放量将翻倍。到2040年,热带水力发电库的温室气体排放量将增加390%。尽管围绕储层影响的不确定性很大,但巴西的低温室气体排放强度和未来的碳排放目标受到可能的电力情景的威胁。 udsylvania与能源相关的影响可能取决于NG是否用于替代煤炭,从而使温室气体排放达到下降,然后稳定在2010年价值的93%;或作为扩展可再生能源的过渡燃料,到2035年将稳定下降至86%。生物燃料的使用增加将主导土地占用,并可能主导耗水量的影响,具体取决于灌溉–能源耗水量从7%增加到18在基本情况下为%。亚利桑那州距主要页岩盆地较远,但其目的是减少不可持续的地下水用量。到2035年,海水淡化本身将使所有影响类别的年度影响增加至少2%,并且优先考虑可再生能源与海水淡化相比BAU可使温室气体减少1%,但到2035年在所有其他类别的影响将至少增加10% %来自新的建设或运营。 ud在宾夕法尼亚州和亚利桑那州,影响的变化和来源的变化都具有相互关联的权衡,这使得水能源关系成为管理诸如气候变化等环境问题的关键部分。未来的能源和水供应也可能显示出更高的相互依赖性,这可能会或可能不会改善地区的可持续性。这项工作提供了一种方法,可以将四组重要信息结合在一起,以便围绕这两个关键资源生成关键区域规划问题的答案。

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    Dale Alexander T.;

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  • 年度 2013
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