Results 31 to 40 of about 11,825 (235)

Effects of interactions between anthropogenic stressors and recurring perturbations on ecosystem resilience and collapse

open access: yesConservation Biology, Volume 37, Issue 1, February 2023., 2023
Abstract Insights into declines in ecosystem resilience and their causes and effects can inform preemptive action to avoid ecosystem collapse and loss of biodiversity, ecosystem services, and human well‐being. Empirical studies of ecosystem collapse are rare and hampered by ecosystem complexity, nonlinear and lagged responses, and interactions across ...
David A. Keith   +8 more
wiley   +1 more source

煤电退出与电力系统转型规划——智利案例研究 [PDF]

open access: yes全球能源互联网, 2021
加快推动能源低碳转型、积极应对气候变化已成为全球共识。在英法德等国宣布退煤后,智利在2019年正式加入退煤行列,承诺在2040年退煤,2050年实现碳中和。大力开发风、光可再生能源资源,退役煤电,已成为智利实现清洁能源转型的重要一步。然而,智利煤电在电力供应结构中占比大,煤电的退出与清洁替代是电力供应结构的重大变革,将导致整个能源电力系统面临包括电力电量充裕性、可再生能源开发利用、电网输配能力、灵活性等多方面的困难和挑战。从电力供应发展的角度研究探讨了智利退煤和清洁能源转型的内在逻辑 ...
汪洋子   +5 more
doaj   +1 more source

Evident but context‐dependent mortality of fish passing hydroelectric turbines

open access: yesConservation Biology, Volume 36, Issue 3, June 2022., 2022
Abstract Globally, policies aiming for conservation of species, free‐flowing rivers, and promotion of hydroelectricity as renewable energy and as a means to decarbonize energy systems generate trade‐offs between protecting freshwater fauna and development of hydropower. Hydroelectric turbines put fish at risk of severe injury during passage. Therefore,
Johannes Radinger   +2 more
wiley   +1 more source

碳中和背景下欧亚地区国家能源转型的动向与展望 [PDF]

open access: yes全球能源互联网, 2021
碳中和背景下,世界多国对气候变化问题形成共识,俄罗斯等欧亚地区国家与时俱进,在战略层面明确表态发展可再生能源,提出明确的清洁电力目标,在实践层面加快技术引进、推进重大项目落地、拓展氢能开发和能源通道建设。欧亚国家具备转型的显著动能,包括可再生能源的资源禀赋、全球能源技术发展、自身较强的能源产业基础、邻近区域的示范与带动作用等。同时,区域国家仍面临一系列突出阻碍,包括对化石能源资源的路径依赖、部分国家的动荡政局、区域国际关系波动及全球能源博弈等。在新时期 ...
史谢虹   +5 more
doaj   +1 more source

Tropical and subtropical Asia's valued tree species under threat

open access: yesConservation Biology, Volume 36, Issue 3, June 2022., 2022
Abstract Tree diversity in Asia's tropical and subtropical forests is central to nature‐based solutions. Species vulnerability to multiple threats, which affect provision of ecosystem services, is poorly understood. We conducted a region‐wide, spatially explicit assessment of the vulnerability of 63 socioeconomically important tree species to ...
Hannes Gaisberger   +72 more
wiley   +1 more source

源荷储多类型灵活性资源协调的高比例可再生能源电源规划 [PDF]

open access: yes全球能源互联网, 2019
未来高比例可再生能源电力系统愿景下,具有波动性和不确定性的风/光等可再生能源作为主要能源供应者,给电力系统带来了巨大的灵活性需求,考虑单一类型灵活性资源提供调节能力的规划模型和以净负荷包络线为基础的电源规划方法将不再适用。引入灵活性指标量化评估源荷储多类型灵活性资源的调节潜力并作为优化决策变量纳入到规划模型中,从而建立以全周期投资成本最小化为目标的高比例可再生能源电源规划模型。通过电源投资决策、生产模拟和灵活性评估3个流程模块,实现单位投资改善灵活性指标最优的电源规划方案求解。最后 ...
徐唐海, 鲁宗相, 乔颖, 安军
doaj   +1 more source

Prioritizing forest management actions to benefit marine habitats in data‐poor regions

open access: yesConservation Biology, Volume 36, Issue 2, April 2022., 2022
Abstract Land‐use change is considered one of the greatest human threats to marine ecosystems globally. Given limited resources for conservation, we adapted and scaled up a spatially explicit, linked land–sea decision support tool using open access global geospatial data sets and software to inform the prioritization of future forest management ...
Jade M. S. Delevaux   +1 more
wiley   +1 more source

基于消纳责任权重的两级电力市场优化运行模型 [PDF]

open access: yes全球能源互联网, 2020
在中国电力消纳保障机制和新配额制的实施背景下,为了使省内消纳责任主体完成消纳考核,如何利用市场机制激励可再生能源跨省跨区消纳是关键问题之一。为此,借助于省间-省内两级市场,引入了省间可再生能源交易商代理省内消纳责任主体参与省间可再生能源市场交易。在两级市场框架下,以市场运行成本最小化为目标,建立了一种非线性的双层优化消纳模型。上、下层的出清结果作为对方层级的计算参数,利用KKT(Karush-Kuhn-Tucker)条件和拉格朗日对偶理论,将上述双层非线性问题转化为单层线性问题求解。最后 ...
陈先龙   +5 more
doaj   +1 more source

Wild meat trade over the last 45 years in the Peruvian Amazon

open access: yesConservation Biology, Volume 36, Issue 2, April 2022., 2022
Abstract The trade in wild meat is an important economic component of rural people's livelihoods, but it has been perceived to be among the main causes of the decline of wildlife species. Recently, the COVID‐19 pandemic has brought to light an additional concern of wildlife markets as a major human‐health challenge.
Pedro Mayor   +11 more
wiley   +1 more source

长短期记忆网络在虚拟电厂数据中心的应用

open access: yes大数据, 2023
可再生能源发电具有间歇性、随机性和不可控性,为绿色能源的充分利用带来了挑战。虚拟电厂数据中心具有高能耗特性,因此成为可再生能源中间歇性(非调度性)电力的高效吸纳与调控手段。基于此,提出了一种通过时间嵌词编码的长短期记忆(long short-term memory,LSTM)网络对虚拟电厂“源荷”双侧状态进行预测的方法。该方法可实现15分钟级的“电力短缺”主动预警,为容器的暂停和备份创造充分的缓冲时间窗口,结合容器技术实现数据中心的动态能耗管理,从而提升了虚拟电厂数据中心应对电力供需失衡的鲁棒性 ...
陈峻, 宁思衡
doaj   +1 more source

Home - About - Disclaimer - Privacy