Analysis of CO_2 emissions peak:China's objective and strategy

Establishing positive and urgent targets for CO_2 reduction and emission peak,and promoting energy conservation and energy structure adjustment are among the strategies to address global climate change and CO_2 emissions reduction.They are also means to break through the constraints of domestic resources and environment,and internal needs,to achieve sustainable development.Generally speaking,a country's CO_2 emission peak appears after achieving urbanization and industrialization.By then,connotative economic growth will appear,GDP will grow slowly,energy consumption elasticity will decrease,and energy consumption growth will slow down-dependent mainly on new and renewable energies.Fossil fuel consumption will not increase further.When CO_2 emission reaches its peak,the annual reduction rate of CO_2 intensity of GDP is greater than GDP annual growth rate;and the annual reduction rate of CO_2 intensity of energy use is greater than the annual growth rate of energy consumption.Therefore,three important approaches to promotion of CO_2 emission peak can be concluded:maintaining reasonable control of GDP growth,strengthening energy conservation to significantly reduce the GDP energy intensity,and optimizing the energy mix to reduce the CO_2 intensity of energy use.By around 2030,China will basically have completed its rapid development phase of industrialization and urbanization.Connotative economic growth will appear with the acceleration of industrial structure adjustment The target of GDP energy intensity will still be to maintain an average annual reduction of 3%or higher.The proportion of non-fossil fuels will reach 20-25%,and the aim will be to maintain an average annual growth rate of 6-8%.The total annual energy demand growth of 1.5%will be satisfied by the newly increased supply of non-fossil fuels.The annual decline in CO_2 intensity of GDP will reach 4.5%or higher,which is compatible with an average annual GDP growth rate of approximately 4.5%in order to reach CO_2 emission peak.This corresponds to the level of China's potential economic growth.Achieving CO_2 emission peak will not impose a rigid constraint on economic development,but rather promote economic development and accelerate the transformation of green,low-carbon development.The CO_2 emission peak can be controlled with a cap of 11 billion tons,which means that CO_2 emission will increase by less than 50%compared with 2010.The per capita emission peak will be controlled at a level of less than 8 tons,which is lower than the 9.5 tons in the EU and Japan and much lower than the 20 tons in the US,future economic and social development faces many uncertainties in achieving the CO_2 emission peak discussed above.It depends on current and future strategies and policies,as well as the pace and strength of economic transformation,innovation,and new energy technologies.If the economic transformation pattern fails to meet expectations,the time required to reach CO_2emission peak would be delayed and the peak level would be higher than expected.Therefore,we need to coordinate thoughts and ideas and deploy these in advance;to highlight the strategic position of low-carbon development and its priorities;to enact mid-to long-term energy development strategies;and to establish and improve a system of laws,regulations,and policies as well as an implementation mechanism for green,low-carbon development Oriented by positive and urgent CO_2 reduction and peak targets,the government would form a reversed mechanism to promote economic transformation and embark on the path of green,low-carbon development as soon as possible.

Effect of water stress on N_2O emission rate of 5 tree species

The N2O emission rates, photosynthesis, respiration and stomatal conductance of the dominant tree species from broadleaf/Korean pine forest in Changbai Mountain were measured by simulated water stress with the closed bag-gas chromatography. A total of five species seedlings were involved in this study, i.e.,Pinus koraiensis Sieb. et Zucc,Fraxinus mandshurica Rupr,Juglans mandshurica Maxim,Tilia amurensis Rupr, andQuercus mongolica Fisch. ex Turcz.. The results showed that the stomatal conductance, net photosynthetic rate and N2O emission of leaves were significantly reduced under the water stress. The stoma in the leaves of trees is the main pathway of N2O emission. N2O emission in the trees mainly occurred during daytime. N2O emission rates were different in various tree specie seedlings at the same water status. In the same tree species, N2O emission rates decreased as the reduction of soil water contents. At different soil water contents (MW, LW) the N2O emission rates ofPinus koraiensis decreased by 34.43% and 100.6% of those in normal water condition, respectively. In broadleaf arbor decreased by 31.93% and 86.35%, respectively. Under different water stresses N2O emission rates in five tree species such asPinus koraiensis, Fraxinus mandshurica, Juglans mandshurica, Tilia amurensis, andQuercus mongolica were 38.22, 14.44, 33.02, 16.48 and 32.33 ngN2O·g?1DW·h?1, respectively. Keywords Trees - N2O emission rate - Soil water stress - broadleaf/Korean pine forest - Changbai Mountain CLC number S718.55 Document code A Foundation item: This project was supported by the National Natural Science Foundation of China (No. 30271068), the grant of the Knowledge Innovation Program of Chinese Academy of Sciences (KZ-CX-SW-01-01B-10), and the Special Funds for Major State Basic Research Program of China (No. G1999043407)Biography: Wang Miao (1964-), male, associate professor in Institute of Applied Ecology, Chinese Academy of Science, Shenyang 110016, P. R. China.Responsible editor: Song Funan

Effects of elevated CO_2 on net photosynthetic rate of trees in Changbai Mountain

Net photosynthetic rates (NPRs) of four species seedlings, Pinus koraiensis, Ptrius Syvestriformis,Fraxinus mandshuthe and Phellodendron amurense, were measured at different CO2 concentrations and time respectively in Changbai Mountain during the growing season in 1999. The seedlings were cultivated in open-top chambers (OTCs), located outdoors and exposed to natural sunlight. The experimental objects were divided into four groups by tree species. CO2 concentrations in chambers were kept at 500 μL-L-1 and 700 μL-L-1 and contrast chamber and contrast field were set. The results showed that the effects of elevated CO2 on NPR of the trees strongly depended on tree species and time. NPRs of Pin us koreaipsis and Pinus syvestriformis seedfings increased with the rising of CO2 concentration, while that of Phellodron amurense and haus mandshurica increased at some time and decreased at another time.

Effect of Replacement of Headspace Gas on N_2O and CO_2Emissions in Anaerobic Incubation of Soil

To study effect of C2H2 and change of headspace gas on N2O emission, denitrification, as well as CO2emission, slumes of an agricultural soil were anaerobically incubated for 7 da3’s at 25 ℃. Both N2O reduction and CO2 emissions were inhibited by the addition of 100 mL L-1 of C2H2. However, the inhibition to CO2 emission was alleviated by the replacement of headspace gas, and the N2O emission was enhanced by the replacement. Acetylene disappeared evidently from the soil slumes during the incubation. Consequently results obtained from the traditional C2H2 blocking technique for determination of denitrification rate, especially in a long-time incubation, should be explained with care because of its side effect existing in the incubation environments without change of headspace gas. To reduce the possible side effect on the processes other than denitrification, it is suggested that headspace gas should be replaced several times during a long-time incubation.

Impact of demographic dynamics on CO_2 emissions in Sichuan,China

Global climate change is one of the major environmental issues faced by humans.Existing evidence indicates that the anthropogenic push for a rise in the atmospheric concentration of greenhouse gases(GHGs)(particularly CO_2) has been a primary cause for global warming.Aside from economic and teclinological factors,demographic dynamics(including human consumption in a broad demographic sense) has been a major driver for CO_2 emissions.In this paper,we performed both nonlinear regression analysis(based on the STIRPAT model) and gray correlation degree analysis(based on gray system theory) on the impact of demographic dynamics on CO_2 emissions.Our results reveal that CO_2 emissions are positively correlated with population size and GDP per capita and negatively correlated with energy intensity.We also show that gray con-elation degree with CO_2 emissions for five variables(i.e.,household consumption,urbanization rate,household size,population aging rate,population size) varies substantially:household consumption > urbanization rate >household size > population aging rate > population size,with household consumption being the highest,and population size the lowest.To mitigate the impact of demographic dynamics on CO_2 emissions,it is of vital significance to nurture people's awareness of sustainable consumption and to adhere to current population control policies.

Toward Establishing a Low-cost UAV Coordinated Carbon Observation Network(LUCCN):First Integrated Campaign in China

In this study,we introduce our newly developed measurement-fed-perception self-adaption Low-cost UAV Coordinated Carbon Observation Network(LUCCN)prototype.The LUCCN primarily consists of two categories of instruments,including ground-based and UAV-based in-situ measurement.We use the GMP343,a low-cost non-dispersive infrared sensor,in both ground-based and UAV-based instruments.The first integrated measurement campaign took place in Shenzhen,China,4 May 2023.During the campaign,we found that LUCCN’s UAV component presented significant data-collecting advantages over its ground-based counterpart owing to the relatively high altitudes of the point emission sources,which was especially obvious at a gas power plant in Shenzhen.The emission flux was calculated by a crosssectional flux(CSF)method,the results of which differed from the Open-Data Inventory for Anthropogenic Carbon dioxide(ODIAC).The CSF result was slightly larger than others because of the low sampling rate of the whole emission cross section.The LUCCN system will be applied in future carbon monitoring campaigns to increase the spatiotemporal coverage of carbon emission information,especially in scenarios involving the detection of smaller-scale,rapidly varying sources and sinks.

Quantification of CO_(2) Emissions from Three Power Plants in China Using OCO-3 Satellite Measurements

Coal-fired power plants are a major carbon source in China. In order to assess the evaluation of China's carbon reduction progress with the promise made on the Paris Agreement, it is crucial to monitor the carbon flux intensity from coal-fired power plants. Previous studies have calculated CO_(2) emissions from point sources based on Orbiting Carbon Observatory-2 and-3(OCO-2 and OCO-3) satellite measurements, but the factors affecting CO_(2) flux estimations are uncertain. In this study, we employ a Gaussian Plume Model to estimate CO_(2) emissions from three power plants in China based on OCO-3 XCO_(2) measurements. Moreover, flux uncertainties resulting from wind information, background values,satellite CO_(2) measurements, and atmospheric stability are discussed. This study highlights the CO_(2) flux uncertainty derived from the satellite measurements. Finally, satellite-based CO_(2) emission estimates are compared to bottom-up inventories.The satellite-based CO_(2) emission estimates at the Tuoketuo and Nongliushi power plants are ~30 and ~10 kt d^(-1) smaller than the Open-Data Inventory for Anthropogenic Carbon dioxide(ODIAC) respectively, but ~10 kt d^(-1) larger than the ODIAC at Baotou.

Impacts of forest plantation programs on sectoral CO_(2) emissions regionally in New Zealand

Investing in projects that support environmental benefits,such as tree harvesting,has the potential to reduce air pollution levels in the atmosphere in the future.However,this kind of investment may increase the current level of emissions.Therefore,it is necessary to estimate how much the policy affects the current level of CO_(2) emissions.This makes sure the policy doesn’t increase the level of CO_(2) emis-sions.This study aims to analyze the effect of the One Bil-lion Trees program on CO_(2) emissions in New Zealand by employing the 2020 input–output table analysis.This inves-tigation examines the direct and indirect effects of policy on both the demand and supply sides across six regions of New Zealand.The results of this study for the first year of plantation suggest that the policy increases the level of CO_(2) emissions in all regions,especially in the Waikato region.The direct and indirect impact of the policy leads to 64 kt of CO_(2) emissions on the demand side and 270 kt of CO_(2) emis-sions on the supply side.These lead to 0.19 and 0.74%of total CO_(2) emissions being attributed to investment shocks.Continuing the policy is recommended,as it has a low effect on CO_(2) emissions.However,it is crucial to prioritize the use of low-carbon machinery that uses fossil fuels during the plantation process.

Mitigating Carbon Emissions:A Comprehensive Analysis of Transitioning to Hydrogen-Powered Plants in Japan’s Energy Landscape Post-Fukushima

One of the impacts of the Fukushima disaster was the shutdown of all nuclear power plants in Japan,reaching zero production in 2015.In response,the country started importing more fossil energy including coal,oil,and natural gas to fill the energy gap.However,this led to a significant increase in carbon emissions,hindering the efforts to reduce its carbon footprint.In the current situation,Japan is actively working to balance its energy requirements with environmental considerations,including the utilization of hydrogen fuel.Therefore,this paper aims to explore the feasibility and implications of using hydrogen power plants as a means to reduce emissions,and this analysis will be conducted using the energy modeling of the MARKAL-TIMES Japan framework.The hydrogen scenario(HS)is assumed with the extensive integration of hydrogen into the power generation sector,supported by a hydrogen import scheme.Additionally,this scenario will be compared with the Business as Usual(BAU)scenario.The results showed that the generation capacities of the BAU and HS scenarios have significantly different primary energy supplies.The BAU scenario is highly dependent on fossil fuels,while the HS scenario integrates hydrogen contribution along with an increase in renewable energy,reaching a peak contribution of 2,160 PJ in 2050.In the HS scenario,the target of reducing CO_(2) emissions by 80%is achieved through significant hydrogen penetration.By 2050,the total CO_(2) emissions are estimated to be 939 million tons for the BAU scenario and 261 million tons for the Hydrogen scenario.In addition,the contribution of hydrogen to electricity generation is expected to be 153 TWh,smaller than PV and wind power.

青藏高原的大气CO_2含量、岩溶溶蚀速率及现代岩溶微地貌

青藏高原是世界上最高、最大和最年青的高原。按照气候地貌学的观点,其干燥和寒冷的气候条件不利于岩溶地貌的发育。笔者在青藏高原上已发现了广泛分布的岩溶微形态。笔者用国际通用的石灰岩圆形切片,在西藏三个不同地点进行了12年的野外溶蚀试验,揭示出青藏高原的岩溶溶蚀速率是全世界最低的,在土层中还产生沉淀现象。通过在青藏高原不同高程上测量大气中CO_2分压,发现P_(CO_2)随海拔高度的增加而降低。在土壤、沉积物和岩石裂隙中的P_(CO_2)也呈现同样的变化趋势。由于CO_2含量直接影响天然水的溶蚀能力,因此可以断定低CO_2浓度是造成青藏高原上现代岩溶过程微弱的重要原因之一。其他主要原因包括干旱和寒冷气候条件。通过对不同微地貌上溶蚀速率的计算和形态分析,可以认为,分布于高原面上的所有岩溶微形态中,现代发育的岩溶微地貌形态仅仅是那些与生物岩溶过程有关的溶痕,其他岩溶微地貌形态可能是全新世温暖期的产物。

草毡寒冻雏形土CO_2释放特征

研究了植物生长季节海北高寒草甸生态系统高寒嵩草草甸覆被下草毡寒冻雏形土的 CO2 释放速率。其结果表明 :CO2 释放速率有明显的日变化和季节动态。日最大排放速率多出现在 1 4 :0 0～ 1 6:0 0时 ,最小排放速率在 6:0 0～ 8:0 0时。植物生长季日最大振幅为 797.75mg/m2·h,最小振幅 1 97.33mg/m2·h。CO2 排放白天大于夜晚。不同物候期 CO2 释放速率不同 ,其顺序为草盛期 >枯黄期 >返青期。生长季土壤 CO2 释放速率的范围是 4 41 .72 mg/m2 · h± 1 55.2 9mg/m2· h,最大日均值为 681 .0 6mg/m2 · h( 7月 1 6日 ) ,最低值 1 76.65mg/m2 · h ( 6月 1日 )。退化草地土壤 CO2 释放速率明显低于未退化草地 ,生长季平均日均值低 1 37.4 7mg/m2·h。相关分析表明 :土壤 CO2 排放速率与气温、地表温度、土壤5cm、1 0 cm、1 5cm、2 0 cm、30 cm地温均呈显著和极显著相关关系。温度是影响土壤 CO2 释放速率的主要因子。

植物生长季退化草毡寒冻雏形土CO_2释放特征

对中国科学院海北高寒草甸生态系统定位站地区退化草毡寒冻雏形土CO2 释放的全天候连续观测结果表明 ,退化草毡寒冻雏形土CO2 的释放有明显的日变化和季节动态 ,日最大释放速率出现于12∶0 0～ 14∶0 0 ,最小释放速率出现于 6∶0 0～ 8∶0 0 ;植物生长季的最大振幅为 4 6 2 .4 9mg·m-2 ·h-1(8月 18日 ) ,最小振幅为 114 .97mg·m-2 ·h-1(5月 9日 ) ,CO2 释放速率白天大于夜晚 .不同物候期CO2 释放速率亦不同 ,草盛期 >枯黄期 >返青期 .最大日均值为 4 80 .76mg·m-2 ·h-1(8月 18日 ) ,最小日均值为 14 0 .77mg·m-2 ·h-1(5月 9日 ) .释放速率与气温、地表温度及土壤 5cm地温均呈显著或极显著相关关系 ,表明温度是决定CO2

海北高寒灌丛草甸生态系统CO_2释放速率的季节变化规律

在中国科学院海北高寒草甸生态系统定位站干柴滩地区以金露梅Potentilla fruticosa 灌丛草甸生态系统为研究对象,应用静态密闭箱-气相色谱法对高寒灌丛(GG)、丛内草甸(GC)和次生裸地(GL)的CO2释放速率进行了长期观测,并对年释放量作了初步估测。结果表明,GG,GC和GL CO2 的释放速率在一年内有明显的季节变化。植物生长季CO2 释放量明显高于枯黄期,释放速率GG>GC>GL(P<0 01),且均表现为正排放。不同季节CO2 释放存在明显差异,表现为夏季>秋季>春季>冬季。2003 年6 月30 日至2004年6月28日,高寒灌丛植被-土壤系统CO2 释放量为4 293 63±955 75 g/m2,丛内草甸植被-土壤系统CO2 释放量为3 319 68±806 19 g/m2,裸地CO2 的释放量为1 724 14±444 14 g/m2。CO2 释放速率的季节变化与土壤5 cm温度呈显著正相关关系(P<0 01)。

我国CO_2排出量的要因分析

本文利用笔者推算的我国 CO2 排出量的数据对我国 CO2 排出量的要因进行了分析 .分析结果表明 ,导致我国 CO2 排出量增加的最大原因是由于经济的发展 ,另外还有人口的增加。与此同时 ,能源消费效率的改善起到了抑制 CO2 排出的作用 .而能源消费结构的因素对CO2 排出量的变化几乎没有什么作用 .从工业部门来看 ,对我国 CO2 排出量影响作用比较大的是建材 ,金属冶炼 ,化学 ,煤炭采掘 ,机械等重化学工业部门 .因此 ,在考虑削减 CO2 排出量的对策时 ,应把重工业部门作为主要对象 .

A Storage-Driven CO_(2) EOR for a Net-Zero Emission Target

Stabilizing global climate change to within 1.5℃requires a reduction in greenhouse gas emissions,with a primary focus on carbon dioxide(CO_(2))emissions.CO_(2)flooding in oilfields has recently been recognized as an important way to reduce CO_(2)emissions by storing CO_(2)in oil reservoirs.This work proposes an advanced CO_(2)enhanced oil recovery(EOR)method-namely,storage-driven CO_(2)EOR-whose main target is to realize net-zero or even negative CO_(2)emissions by sequestrating the maximum possible amount of CO_(2)in oil reservoirs while accomplishing the maximum possible oil recovery.Here,dimethyl ether(DME)is employed as an efficient agent in assisting conventional CO_(2)EOR for oil recovery while enhancing CO_(2)sequestration in reservoirs.The results show that DME improves the solubility of CO_(2)in in situ oil,which is beneficial for the solubility trapping of CO_(2)storage;furthermore,the presence of DME inhibits the"escape"of lighter hydrocarbons from crude oil due to the CO_(2)extraction effect,which is critical for sustainable oil recovery.Sto rage-driven CO_(2)EOR is superior to conventional CO_(2)EOR in improving sweeping efficiency,especially during the late oil production period.This work demonstrates that storage-driven CO_(2)EOR exhibits higher oil-in-place(OIP)recovery than conventional CO_(2)EOR.Moreover,the amount of sequestrated CO_(2)in storage-driven CO_(2)EOR exceeds the amount of emissions from burning the produced oil;that is,the sequestrated CO_(2)offsets not only current emissions but also past CO_(2)emissions.By altering developing scenarios,such as water alternating storage-driven CO_(2)EOR,more CO_(2)sequestration and higher oil recovery can be achieved.This work demonstrates the potential utilization of DME as an efficient additive to CO_(2)for enhancing oil recovery while improving CO_(2)storage in oil reservoirs.

Detection of Anthropogenic CO_(2) Emission Signatures with TanSat CO_(2) and with Copernicus Sentinel-5 Precursor(S5P)NO_(2) Measurements:First Results

China’s first carbon dioxide(CO_(2))measurement satellite mission,TanSat,was launched in December 2016.This paper introduces the first attempt to detect anthropogenic CO_(2) emission signatures using CO_(2) observations from TanSat and NO_(2) measurements from the TROPOspheric Monitoring Instrument(TROPOMI)onboard the Copernicus Sentinel-5 Precursor(S5P)satellite.We focus our analysis on two selected cases in Tangshan,China and Tokyo,Japan.We found that the TanSat XCO_(2) measurements have the capability to capture the anthropogenic variations in the plume and have spatial patterns similar to that of the TROPOMI NO_(2) observations.The linear fit between TanSat XCO_(2) and TROPOMI NO_(2) indicates the CO_(2)-to-NO_(2) ratio of 0.8×10^(-16) ppm(molec cm^(-2))^(-1) in Tangshan and 2.3×10^(-16) ppm(molec cm^(-2))^(-1) in Tokyo.Our results align with the CO_(2)-to-NOx emission ratios obtained from the EDGAR v6 emission inventory.

A new model for China’s CO_(2) emission pathway using the top-down and bottom-up approaches

Detailed research on China's CO_(2) emission pathway of the 2030 peak and 2060 carbon neutrality goals is fundamental to promote China's climate change action.Previous studies on emission pathways have been based on long-term emission data or model analyses.However,few studies have achieved synergy and pathway optimization at both the micro and macro levels or focused on China's 2060 carbon neutrality goal,making it difficult to support the systematic management of national and regional emission pathways.In this study,we developed an integrated CO_(2) emission pathway model,the Chinese Academy of Environmental Planning Carbon Pathways 1.2 model,under China's climate change goals.Our pathway coupled the top-down and bottom-up approaches and conducted optimization analysis under social fairness and optimal cost conditions.The results provide a clear CO_(2) emission pathway and offer insights for implementing fine management of CO_(2) emissions at the national,regional,sectoral,and spatial gridded levels.

Current status of national integrated gasification fuel cell projects in China

Coal has been the main energy source in China for a long period.Therefore,the energy industry must improve coal power generation efficiency and achieve near-zero CO_(2) emissions.Integrated gasification fuel cell(IGFC)systems that combine coal gasification and high-temperature fuel cells,such as solid oxide fuel cells or molten carbonate fuel cells(MCFCs),are proving to be promising for efficient and clean power generation,compared with traditional coal-fired power plants.In 2017,with the support of National Key R&D Program of China,a consortium led by the China Energy Group and including 12 institutions was formed to develop the advanced IGFC technology with near-zero CO_(2) emissions.The objectives of this project include understanding the performance of an IGFC power generation system under different operating conditions,designing master system principles for engineering optimization,developing key technologies and intellectual property portfolios,setting up supply chains for key materials and equipment,and operating the first megawatt IGFC demonstration system with near-zero CO_(2) emission,in early 2022.In this paper,the main developments and projections pertaining to the IGFC project are highlighted.

Acclimation of CH_(4)emissions from paddy soil to atmospheric CO_(2)enrichment in a growth chamber experiment

Elevated levels of atmospheric CO_(2)(eCO_(2))promote rice growth and increase methane(CH_(4))emissions from rice paddies,because increased input of plant photosynthate to soil stimulates methanogenic archae.However,temporal trends in the effects of eCO_(2)on rice growth and CH_(4)emissions are still unclear.To investigate changes in the effects of eCO_(2)over time,we conducted a two-season pot experiment in a walk-in growth chamber.Positive effects of eCO_(2)on rice leaf photosynthetic rate,biomass,and grain yield were similar between growing seasons.However,the effects of eCO_(2)on CH_(4) emissions decreased over time.Elevated CO_(2)increased CH_(4)emissions by 48%-101%in the first growing season,but only by 28%-30%in the second growing season.We also identified the microbial process underlying the acclimation of CH4 emissions to atmospheric CO_(2)enrichment:eCO_(2)stimulated the abundance of methanotrophs more strongly in soils that had been previously exposed to eCO_(2)than in soils that had not been.These results emphasize the need for long-term eCO_(2)experiments for accurate predictions of terrestrial feedbacks.

The relationship between energy consumption, economic growth and carbon dioxide emissions in Pakistan

Developing countries are facing the problem of environmental degradation.Environmental degradation is caused by the use of non-renewable energy consumptions for economic growth but the consequences of environmental degradation cannot be ignored.This primary purpose of this study is to investigate the nexus between energy consumption,economic growth and CO_(2) emission in Pakistan by using annual time series data from 1965 to 2015.The estimated results of ARDL indicate that energy consumption and economic growth increase the CO_(2) emissions in Pakistan both in short run and long run.Based on the estimated results it is recommended that policy maker in Pakistan should adopt and promote such renewable energy sources that will help to meet the increased demand for energy by replacing old traditional energy sources such as coal,gas,and oil.Renewable energy sources are reusable that can reduce the CO_(2) emissions and also ensure sustainable economic development of Pakistan.