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1.
Regional Energy Demand Responses To Climate Change: Methodology And Application To The Commonwealth Of Massachusetts 总被引：1，自引：2，他引：1
Climate is a major determinant of energy demand. Changes in climate may alter energy demand as well as energy demand patterns.
This study investigates the implications of climate change for energy demand under the hypothesis that impacts are scale dependent
due to region-specific climatic variables, infrastructure, socioeconomic, and energy use profiles.
In this analysis we explore regional energy demand responses to climate change by assessing temperature-sensitive energy demand
in the Commonwealth of Massachusetts. The study employs a two-step estimation and modeling procedure. The first step evaluates
the historic temperature sensitivity of residential and commercial demand for electricity and heating fuels, using a degree-day
methodology. We find that when controlling for socioeconomic factors, degree-day variables have significant explanatory power
in describing historic changes in residential and commercial energy demands. In the second step, we assess potential future
energy demand responses to scenarios of climate change. Model results are based on alternative climate scenarios that were
specifically derived for the region on the basis of local climatological data, coupled with regional information from available
global climate models. We find notable changes with respect to overall energy consumption by, and energy mix of the residential
and commercial sectors in the region. On the basis of our findings, we identify several methodological issues relevant to
the development of climate change impact assessments of energy demand. 相似文献
2.
Major transformation of the global energy system is required for climate change mitigation. However, energy demand patterns and supply systems are themselves subject to climate change impacts. These impacts will variously help and hinder mitigation and adaptation efforts, so it is vital they are well understood and incorporated into models used to study energy system decarbonisation pathways. To assess the current state of understanding of this topic and identify research priorities, this paper critically reviews the literature on the impacts of climate change on the energy supply system, summarising the regional coverage of studies, trends in their results and sources of disagreement. We then examine the ways in which these impacts have been represented in integrated assessment models of the electricity or energy system.Studies tend to agree broadly on impacts for wind, solar and thermal power stations. Projections for impacts on hydropower and bioenergy resources are more varied. Key uncertainties and gaps remain due to the variation between climate projections, modelling limitations and the regional bias of research interests. Priorities for future research include the following: further regional impact studies for developing countries; studies examining impacts of the changing variability of renewable resources, extreme weather events and combined hazards; inclusion of multiple climate feedback mechanisms in IAMs, accounting for adaptation options and climate model uncertainty. 相似文献
3.
Although there is a strong policy interest in the impacts of climate change corresponding to different degrees of climate change, there is so far little consistent empirical evidence of the relationship between climate forcing and impact. This is because the vast majority of impact assessments use emissions-based scenarios with associated socio-economic assumptions, and it is not feasible to infer impacts at other temperature changes by interpolation. This paper presents an assessment of the global-scale impacts of climate change in 2050 corresponding to defined increases in global mean temperature, using spatially-explicit impacts models representing impacts in the water resources, river flooding, coastal, agriculture, ecosystem and built environment sectors. Pattern-scaling is used to construct climate scenarios associated with specific changes in global mean surface temperature, and a relationship between temperature and sea level used to construct sea level rise scenarios. Climate scenarios are constructed from 21 climate models to give an indication of the uncertainty between forcing and response. The analysis shows that there is considerable uncertainty in the impacts associated with a given increase in global mean temperature, due largely to uncertainty in the projected regional change in precipitation. This has important policy implications. There is evidence for some sectors of a non-linear relationship between global mean temperature change and impact, due to the changing relative importance of temperature and precipitation change. In the socio-economic sectors considered here, the relationships are reasonably consistent between socio-economic scenarios if impacts are expressed in proportional terms, but there can be large differences in absolute terms. There are a number of caveats with the approach, including the use of pattern-scaling to construct scenarios, the use of one impacts model per sector, and the sensitivity of the shape of the relationships between forcing and response to the definition of the impact indicator. 相似文献
4.
利用天津市地面气象观测站1961—2017年逐小时观测资料,通过TRNSYS软件,对不同节能水平办公建筑供热和制冷能耗,以及居住建筑供热能耗进行动态模拟,定量评估了气候变化对天津市不同节能水平建筑能耗的影响。结果表明：在供暖期和制冷期,温度均呈现显著上升的趋势,而太阳辐射则呈现下降的趋势,受其影响,1961—2017年办公和居住建筑供热能耗呈现显著下降的趋势,制冷能耗呈现微弱的上升趋势,但气候变化对供热能耗的影响要明显强于制冷能耗;随着建筑节能水平的提升,供热和制冷能耗均有一定程度的下降,其中供热能耗的降幅尤为明显,四步节能居住建筑相比于一步到三步节能居住建筑,供热能耗分别下降了53.56%、50.13%和21.25%。对新建建筑及既有建筑的节能改造,应充分考虑不同节能水平对建筑能耗的影响,结合实际需求酌情进行升级改造。除此之外,建筑节能水平的提升,会使其供热和制冷能耗变化量随温度的上升而减小,说明其对气候变化的敏感性在逐渐减弱。因此,提高建筑节能水平,可以更好的应对气候变化,保证其在未来的使用中耗能更低。 相似文献
5.
Johannes Feddema Keith Oleson Gordon Bonan Linda Mearns Warren Washington Gerald Meehl Douglas Nychka 《Climate Dynamics》2005,25(6):581-609
This study assesses the sensitivity of the fully coupled NCAR-DOE PCM to three different representations of present-day land
cover, based on IPCC SRES land cover information. We conclude that there is significant model sensitivity to current land
cover characterization, with an observed average global temperature range of 0.21 K between the simulations. Much larger contrasts
(up to 5 K) are found on the regional scale; however, these changes are largely offsetting on the global scale. These results
show that significant biases can be introduced when outside data sources are used to conduct anthropogenic land cover change
experiments in GCMs that have been calibrated to their own representation of present-day land cover. We conclude that hybrid
systems that combine the natural vegetation from the native GCM datasets combined with human land cover information from other
sources are best for simulating such impacts. We also performed a prehuman simulation, which had a 0.39 K ~higher average
global temperature and, perhaps of greater importance, temperature changes regionally of about 2 K. In this study, the larger
regional changes coincide with large-scale agricultural areas. The initial cooling from energy balance changes appear to create
feedbacks that intensify mid-latitude circulation features and weaken the summer monsoon circulation over Asia, leading to
further cooling. From these results, we conclude that land cover change plays a significant role in anthropogenically forced
climate change. Because these changes coincide with regions of the highest human population this climate impact could have
a disproportionate impact on human systems. Therefore, it is important that land cover change be included in past and future
climate change simulations. 相似文献
6.
This study uses empirical agricultural impact models to compare the U.S. climate change predictions of 16 General Circulation Models (GCMs). The impact analysis provides a policy-relevant index by which to judge complex climate predictions. National aggregate impacts vary widely across the 16 GCMs because of varying regional and seasonal patterns of predicted climate change. Examining the predicted impacts from the full set of GCMs reveals that the seasonal detail in the GCM predictions is so noisy that it is not significantly different from a constant annual change. However, a consistent regional pattern does emerge across the set of models. Nonetheless, aggregating climate change across seasons and regions within the United States, using a national-annual climate change provides a reasonable and efficient approximation to the expected impact predicted by the 16 GCM models. 相似文献
7.
J Alcamo GJJ Kreileman JC Bollen GJ van den Born R Gerlagh MS Krol AMC Toet HJM de Vries 《Global Environmental Change》1996,6(4):261-303
This paper presents three baseline scenarios of no policy action computed by the IMAGE 2 model. These scenarios cover a wide range of coupled global change Indicators, including: energy demand and consumption; food demand, consumption, and production; changes in land cover including changes in extent of agricultural land and forest; emissions of greenhouse gases and ozone precursors; and climate change and its impacts on sea level rise, crop productivity and natural vegetation. Scenario information is available for the entire world with regional and grid scale detail, and covers from 1970 to 2100. The scenarios indicate that the coming decades could be a period of relatively rapid global environmental change as compared to the period before and after. The natural vegetation in industrialized regions could be threatened by climate change, but abandonment of agricultural lands could also make new lands available for reforestation and revegetation. The opposite is true for most of Asia and Africa. Here the impacts of climate change on vegetation may not be as significant as in temperate climates, but the demand for food will lead to a significant expansion of agricultural lands at the expense of remaining forests and other natural areas. 相似文献
8.
Climate change will affect future flow and thermal regimes of rivers. This will directly affect freshwater habitats and ecosystem health. In particular fish species, which are strongly adapted to a certain level of flow variability will be sensitive to future changes in flow regime. In addition, all freshwater fish species are exotherms, and increasing water temperatures will therefore directly affect fishes’ biochemical reaction rates and physiology. To assess climate change impacts on large-scale freshwater fish habitats we used a physically-based hydrological and water temperature modelling framework forced with an ensemble of climate model output. Future projections on global river flow and water temperature were used in combination with current spatial distributions of several fish species and their maximum thermal tolerances to explore impacts on fish habitats in different regions around the world. Results indicate that climate change will affect seasonal flow amplitudes, magnitude and timing of high and low flow events for large fractions of the global land surface area. Also, significant increases in both the frequency and magnitude of exceeding maximum temperature tolerances for selected fish species are found. Although the adaptive capacity of fish species to changing hydrologic regimes and rising water temperatures could be variable, our global results show that fish habitats are likely to change in the near future, and this is expected to affect species distributions. 相似文献
9.
Summary Present-day and 2 × CO2 regional climate impacts and the effects of local land use patterns on Cooling Degree Hours (CDHs — an energy demand parameter based on cumulative degrees of temperature above 75 °F) are investigated for the Phoenix metropolitan area in central Arizona. Approaches include: (1) the utilization of four readily available and commonly used Global Circulation Models (GCMs) to assess possible changes in climate for doubled CO2, (2) the analysis of hourly temperature data collected for one year over three different land type sites, and (3) analysis of locally collected hourly temperature data, for a typical summer day from a real-time weather and climate network, to evaluate the spatial variability of CDHs over the urban landscape. Results are discussed by showing effects at the global and urban scales. Differing surface types, and expected changes in land uses in the future, induce spatial differences of CDHs (and therefore potential energy demand) comparable to GCM projections of climate change for the region.With 6 Figures 相似文献
10.
开展农户生计对气候变化的敏感性研究有利于深入认识气候变化与生计的关系,对增强农户的气候变化适应能力和降低生计脆弱性具有重要意义。在梳理不同领域敏感性概念的基础上,阐述了农户生计对气候变化敏感性的科学内涵和研究框架,重点分析了敏感性表征和综合评价指标体系。农户生计对气候变化的敏感性是指气候变化和极端事件对农户生计的影响程度,敏感性表征主要表现在气候变化对自然资源、人类健康、牲畜、资产和收入等方面的影响,不同地区和人群敏感性表征具有差异性。农户生计对气候变化的敏感性随着发展程度提高而下降,生计多样化、基础设施建设等有助于降低气候变化的影响。生计敏感性多为脆弱性研究的一部分,常以可持续生计分析为框架,运用指标评估法进行综合评价。未来研究需要完善敏感性理论框架和研究方法,加强适应的有效性评估,以及开展跨区域或跨时段的生计敏感性对比研究,重点关注生态脆弱和贫困地区。 相似文献
11.
Andre Frossard Pereira de Lucena Roberto Schaeffer Alexandre Salem Szklo 《Global Environmental Change》2010,20(2):342-350
Global climate change induced by the emission of greenhouse gases may pose challenges to energy security. The vulnerability of energy sources, in particular of renewable sources, to climate change raises the need to identify adaptation measures. This paper applies an integrated resource planning approach to calculate least-cost adaptation measures to a set of projected climate impacts on the Brazilian power sector. The methodology used has the advantage of finding optimal solutions that take into consideration the whole energy chain and the interactions between energy supply and demand. Results point in the direction of an increased installed capacity based, mostly, on natural gas, but also sugarcane bagasse, wind power and coal/nuclear plants, to compensate for a lower reliability of hydroelectric production, amongst other impacts. The indirect effect of these results is the displacement of natural gas from other consuming sectors, such as industry, in favor of its use for power generation. Results obtained are, however, based on the techno-economic premises used in the simulation, which may vary in the long term. 相似文献
12.
In spite of the uncertainties of potential climate change, a scientific consensus is emerging that increasing concentrations of atmospheric CO2 could alter global temperatures and precipitation patterns. Changes in global climate as predicted by General Circulation Models (GCM) could therefore, have profound implications for global agriculture. The objective of this study was to assess the impacts of potential climate change on livestock and grassland production in the major producing regions of the United States. Simulation sites were selected for the study on the basis of the region's economic dependence on rangeland livestock production. Five thirty-year simulations were conducted on each site using the Simulation of Production and Utilization of Rangelands model and Colorado Beef Cattle Production Model. Climate change files were obtained by combining historic weather data from each site with predicted output from three GCM's. Results from nominal runs were compared with the three climate change scenarios and a doubled CO2 run. The magnitude and direction of ecosystem response to climate change varied among the GCM's and by geographic region. Simulations demonstrated that changes in temperature and precipitation patterns caused an increase in above-ground net primary production for most sites. Increased decomposition rates were recorded for northern regions. Similarly, animal production in northern regions increased, implying an increase in economic survivability. However, because decreases in animal production indicators were recorded for the southern regions, economic survivability in southern regions is less certain. 相似文献
13.
Even without internationally concerted action on climate change mitigation, there are important incentives for countries to put a price on their domestic emissions, including public finance considerations, internalizing the climate impacts of their own emissions, and co-benefits, such as clean air or energy security. Whereas these arguments have been mostly discussed in separate strands of literature, this article carries out a synthesis that exemplifies how policies to put a price on emissions can be conceptualized in a multi-objective framework. Despite considerable uncertainty, empirical evidence suggests that different countries may face quite different incentives for emission pricing. For instance, avoided climate damages and co-benefits of reduced air pollution appear to be the main motivation for emission pricing in China, while for the US generating public revenue dominates and for the EU all three motivations are of intermediate importance. We finally argue that such unilateral incentives could form the basis for incremental progress in international climate negotiations toward a realistic climate treaty based on national interest and differentiated emission pricing and describe how such an agreement could be put into practice. 相似文献
14.
Climate change impacts, adaptation and vulnerability studies tend to confine their attention to impacts and responses within the same geographical region. However, this approach ignores cross-border climate change impacts that occur remotely from the location of their initial impact and that may severely disrupt societies and livelihoods. We propose a conceptual framework and accompanying nomenclature for describing and analysing such cross-border impacts. The conceptual framework distinguishes an initial impact that is caused by a climate trigger within a specific region. Downstream consequences of that impact propagate through an impact transmission system while adaptation responses to deal with the impact propagate through a response transmission system. A key to understanding cross-border impacts and responses is a recognition of different types of climate triggers, categories of cross-border impacts, the scales and dynamics of impact transmission, the targets and dynamics of responses and the socio-economic and environmental context that also encompasses factors and processes unrelated to climate change. These insights can then provide a basis for identifying relevant causal relationships. We apply the framework to the floods that affected industrial production in Thailand in 2011, and to projected Arctic sea ice decline, and demonstrate that the framework can usefully capture the complex system dynamics of cross-border climate impacts. It also provides a useful mechanism to identify and understand adaptation strategies and their potential consequences in the wider context of resilience planning. The cross-border dimensions of climate impacts could become increasingly important as climate changes intensify. We conclude that our framework will allow for these to be properly accounted for, help to identify new areas of empirical and model-based research and thereby support climate risk management. 相似文献
15.
Richard S. J. Tol 《Climatic change》2013,117(4):795-808
The national version of FUND3.6 is used to backcast the impacts of climate change to the 20th century and extrapolate to the 21st century. Carbon dioxide fertilization of crops and reduced energy demand for heating are the main positive impacts. Climate change had a negative effect on water resources and, in most years, human health. Most countries benefitted from climate change until 1980, but after that the trend is negative for poor countries and positive for rich countries. The global average impact was positive in the 20th century. In the 21st century, impacts turn negative in most countries, rich and poor. Energy demand, water resources, biodiversity and sea level rise are the main negative impacts; the impacts of climate change on human health and agriculture remain positive until 2100. 相似文献
16.
A rapid change in climate patterns potentially driven by global warming is considered to be greatest threats to agriculture. However, little is known about how the change in climate concretely affects agricultural production especially in Nepal with respect to seasons and regions of different altitudes. To examine this issue, we seek to empirically identify the impact of climatic variation on agricultural yield and its variability by utilizing the data of rice, wheat and climate variables in the central region of Nepal. The main focus is on whether the impacts vary across seasons, altitudes and the types of crops. For this purpose, we employ a stochastic production function approach by controlling a novel set of season-wise climatic and geographical variables. The result shows that an increase in the variance of both temperature and rainfall has adverse effects on crop productions in general. On the other hand, a change in the mean levels of the temperature and rainfall induces heterogeneous impacts, which can be considered beneficial, harmful or negligible, depending on the altitudes and the kinds of crops. These results imply that adaptation strategies must be tailor-made in Nepalese agriculture, considering growing seasons, altitudes and the types of crops. 相似文献
17.
Jayant A. Sathaye Larry L. Dale Peter H. Larsen Gary A. Fitts Kevin Koy Sarah M. Lewis André Frossard Pereira de Lucena 《Global Environmental Change》2013,23(2):499-511
Despite a clear need, little research has been carried out at the regional-level to quantify potential climate-related impacts to electricity production and delivery systems. This paper introduces a bottom-up study of climate change impacts on California's energy infrastructure, including high temperature effects on power plant capacity, transmission lines, substation capacity, and peak electricity demand. End-of-century impacts were projected using the A2 and B1 Intergovernmental Panel on Climate Change emission scenarios. The study quantifies the effect of high ambient temperatures on electricity generation, the capacity of substations and transmission lines, and the demand for peak power for a set of climate scenarios. Based on these scenarios, atmospheric warming and associated peak demand increases would necessitate up to 38% of additional peak generation capacity and up to 31% additional transmission capacity, assuming current infrastructure. These findings, although based on a limited number of scenarios, suggest that additional funding could be put to good use by supporting R&D into next generation cooling equipment technologies, diversifying the power generation mix without compromising the system's operational flexibility, and designing effective demand side management programs. 相似文献
18.
Nigel W. Arnell Jason A. Lowe Ben Lloyd-Hughes Timothy J. Osborn 《Climatic change》2018,147(1-2):61-76
The 2015 Paris Agreement commits countries to pursue efforts to limit the increase in global mean temperature to 1.5 °C above pre-industrial levels. We assess the consequences of achieving this target in 2100 for the impacts that are avoided, using several indicators of impact (exposure to drought, river flooding, heat waves and demands for heating and cooling energy). The proportion of impacts that are avoided is not simply equal to the proportional reduction in temperature. At the global scale, the median proportion of projected impacts avoided by the 1.5 °C target relative to a rise of 4 °C ranges between 62 and 95% across sectors: the greatest reduction is for heat wave impacts. The 1.5 °C target results in impacts that would be between 27 and 62% lower than with the 2 °C target. For each indicator, there are differences in the proportions of impacts avoided between regions depending on exposure and the regional changes in climate (particularly precipitation). Uncertainty in the proportion of impacts that are avoided for a specific sector depends on the range in the shape of the relationship between global temperature change and impact, and this varies between sectors. 相似文献
19.
近30年我国气候变化的不稳定性及其与农业生产的关系 总被引：6，自引：0，他引：6
引入信息论中熵值分析方法，利用全国七大区１９６１－１９９０年的气象和产量资料，讨论了近年平均气温，最高气温，最低气温和降水量的熵值时空变化类型。详细分析了我国气候变化的不稳定性，在此基础上，定性讨论了气候波动与农业气象灾害的关系及其对农业产量的影响，并分区建立了产量与气象要素熵的回归模型。 相似文献
20.
In the Arkansas River Basin in southeastern Colorado, surface irrigation provides most of the water required for agriculture.
Consequently, the region’s future could be significantly affected if climate change impacts the amount of water available
for irrigation. A methodology to model the expected impacts of climate change on irrigation water demand in the region is
described. The Integrated Decision Support Consumptive Use model, which accounts for spatial and temporal variability in evapotranspiration
and precipitation, is used in conjunction with two climate scenarios from the Vegetation-Ecosystem Modeling and Analysis Project.
The two scenarios were extracted and scaled down from two general circulation models (GCMs), the HAD from the Hadley Centre
for Climate Prediction and Research and the CCC from the Canadian Climate Centre. The results show significant changes in
the water demands of crops due to climate change. The HAD and CCC climate change scenarios both predict an increase in water
demand. However, the projections of the two GCMs concerning the water available for irrigation differ significantly, reflecting
the large degree of uncertainty concerning what the future impacts of climate change might be in the study region. As new
or updated predictions become available, the methodology described here can be used to estimate the impacts of climate change. 相似文献