储能在电网中的应用价值及其商业模式

随着风电、光伏渗透率逐渐增大,其并网给电网稳定运行带来了诸多挑战。储能技术可以有效平抑新能源功率波动,增强新能源发电可控性,提高新能源的并网接入能力,因此在电网中配置储能的相关研究与技术受到越来越多的关注。以储能系统接入电网的功能为切入点,针对储能系统在调频、调峰、备用容量和延缓输配电扩容升级等4种场景中的应用价值进行研究和归纳,讨论了储能相关商业模式的发展前景和未来待研究的关键科学问题。     

风光储联合发电运行技术研究

随着能源需求的日益增长和新能源的快速发展,利用风能、太阳能的发电技术已经逐步成熟,且在电网中的渗透率也在不断提高。为弥补风能、太阳能发电所带来的功率不稳定、电能质量低等问题,有必要对风能、太阳能、储能联合发电进行深入研究。文中依据简单平抑方法、考虑一定约束的平抑方法、考虑功率预测与人工智能的平抑方法对储能的平抑控制策略进行了归纳总结。在储能平抑风光波动的研究中滤波算法是最为常见的方法,加入一定的约束会使平抑效果更佳,储能平抑配合精准的预测使整个系统更加平滑。多储能技术混合可以发挥各储能技术优越性。加入储能装置的风光储互补系统可以有效降低原风光互补系统对电网的不利影响。可以在更高程度上平滑风光发电系统的输出特性,增加电网对可再生能源的吸收接纳程度,取得良好的经济和社会效益。     

Energy transition toward carbon-neutrality in China: Pathways,implications and uncertainties

Achieving carbon neutrality in China before 2060 requires a radical energy transition. To identify the possible transition pathways of China’s energy system, this study presents a scenario-based assessment using the Low Emissions Analysis Platform (LEAP) model. China could peak the carbon dioxide (CO₂) emissions before 2030 with current policies, while carbon neutrality entails a reduction of 7.8 Gt CO₂ in emissions in 2060 and requires an energy system overhaul. The assessment of the relationship between the energy transition and energy return on investment (EROI) reveals that energy transition may decrease the EROI, which would trigger increased energy investment, energy demand, and emissions. Uncertainty analysis further shows that the slow renewable energy integration policies and carbon capture and storage (CCS) penetration pace could hinder the emission mitigation, and the possible fossil fuel shortage calls for a much rapid proliferation of wind and solar power. Results suggest a continuation of the current preferential policies for renewables and further research and development on deployment of CCS. The results also indicate the need for backup capacities to enhance the energy security during the transition.     

我国中长期发电供应能力研究

结合我国能源资源储量、禀赋特点和能源发展相关政策,对我国中长期发电供应能力进行了全面的分析,包括燃煤发电、水电、核能发电、风力发电、太阳能发电、生物质能发电和天然气发电的供应能力。在此基础上,以社会总体成本最小为原则,对我国中长期电源结构调整进行了研究,同时研判了我国中长期电源发展布局。     

Significance of demand response in light of current pilot projects in China and devising a problem solution for future advancements

The electric power sector significantly contributes to China's economic growth. However, rapid industrialization and urbanization have led to energy shortage problems. More than 70% of customers' demand is fulfilled by fossil fuel sources that threaten the environment. The rapid increase in demand and the need for decarbonization has forced China to work on demand-side management (DSM) to fulfill the power needs of the country. DSM is receiving much importance in China over the past few years. However, it is still in the early phases of development in comparison to other developed countries. At first, this paper points out the need for demand response, which is an aspect of the DSM, for maintaining power system stability and integrating variable renewable energy resources such as wind (on-shore and off-shore) and solar (photovoltaic and concentrated solar power). Then, it assesses China's power sector reforms and changes in demand response policies over the period to promote demand response programs. It also reviews the current demand response pilot projects in China, identifies technical and policy barriers in implementing these projects and proposes recommendations to make it successful across the whole country.     

Optimizing Decision-Making of A Smart Prosumer Microgrid Using Simulation

Distributed renewable energy sources offer significant alternatives for Qatar and the Arab Gulf region’s future fuel supply and demand. Microgrids are essential for providing dependable power in difficult-to-reach areas while incorporating significant amounts of renewable energy sources. In energy-efficient data centers, distributed generation can be used to meet the facility’s overall power needs. This study primarily focuses on the best energy management practices for a smart microgrid in Qatar while taking demand-side load management into account. This article looked into a university microgrid in Qatar that primarily aimed to get all of its energy from the grid. While diesel generators are categorized as a dispatchable distributed generation with energy storage added to handle solar radiation from the sun and high grid power operating costs in the suggested scenario, wind turbines and solar Photovoltaic (PV) are classified as non-dispatchable distributed generators. The resulting linear math issues are assessed and displayed in MATLAB optimization software using a mixed-integer linear programming (MILP) strategy. According to the simulation results, the suggested energy management strategy reduced the university microgrid’s grid power costs by 38.8%, making it an affordable solution which is somehow greater than the prior case scenario’s 23% savings. The installed solar system capacity’s effects on the economy, society, and finances were also assessed, and it became clear that the best option for the smart microgrid was determined that would be 325 kW of solar PV, 25 kW of wind turbine, and 600 kW of diesel generators, respectively. Given the current situation, university administrators are urged to participate in distributed generators and adopt cutting-edge designs for energy storage technologies due to the significant environmental and financial benefits.     

Impact of renewable energy on rural electrification in Malaysia: a review

Malaysia is rich in renewable energy (RE) resources. Hybrid systems of these resources can contribute strongly to the electrification and sustainable development of rural areas that do not have access to electricity grids. The integration of the generation of hybrid renewable power in remote and rural areas supplies the required power demand and mitigates emissions. Thus, this study reviews the latest literature (theses, journals articles, and conference proceedings) on the need for electricity in remote rural communities, on hybrid RE systems, on environmental impact, and on economic regulation in Malaysia. Power in this country is mainly generated by fossil fuels that emit high concentrations of greenhouse gases. Thus, RE is a potential alternative for to electrify rural areas, to meet current and future energy demands, and to mitigate emissions. Moreover, Malaysia has pledged to reduce its carbon-emission intensity by a maximum of 40 % (2005 level) by the year 2020. Therefore, the implementation of RE technologies in this country is significantly aided by RE projects, research and development activities, technologies, energy policies, and future direction. This review concludes that solar, wind, hydro, and biomass energy, as well as a hybrid of these, can effectively electrify rural areas.     

Optimal site selection for solar power plants using multi-criteria evaluation: A case study from the Ayranci region in Karaman,Turkey

Currently, coal, oil and natural gas are mainly used for energy in most countries. These sources, called fossil fuels, are not renewable. Fossil fuels are limited, and their reserves are steadily decreasing. This situation causes the prices to rise constantly. On the contrary, renewable energy is clean, economical and unlimited. Turkey has a very high potential for renewable energy, and the Turkish government has made significant reforms for solar energy investments over the last decade. Site selection for solar power plants is a critical issue for large investments because of quality of terrain, local weathering factors, proximity to high transmission capacity lines, agricultural facilities and environmental conservation issues. Multi-criteria evaluation is a tool that allows one to choose the best criterion among multiple and offer a structure with a wide range of applications. In this paper, the ideal locations for solar power plant were selected using the geographic information system and analytic hierarchy process which is one of the multi-criteria evaluation methods. The resulting land suitability was grouped into three categories: low suitable, suitable and best suitable using an equal interval classification method. Consequently, 15,550 ha or 6.23% of the evaluated region was determined as the best suited areas for solar power plants.     

Exploring the determinants of renewable energy innovation considering the institutional factors: A negative binomial analysis

Replacing traditional energy sources with renewable energy sources is an effective way to achieve emission reduction targets. Focusing on OECD countries from 1990 to 2018, this study examines the determinants of renewable energy innovation by applying a negative binomial model. There are four main findings: (1) Renewable energy patents show an inverted U-shaped curve, peaking in 2010; solar energy accounts for the largest share of patents; and the US is the largest renewable energy innovator, followed by South Korea and Germany. (2) Renewable electricity installed capacity, share of expenditure on research and development (R&D) of GDP, and implementation of the Kyoto Protocol are all found to promote innovation; by comparison, the proportion of renewable energy power generation of the total electricity generating capacity shows a negative effect. The price of crude oil shows no significant effect due to the offset effect between the European and non-European country groups. (3) Share of R&D expenditure of GDP is confirmed to be the force driving technological progress in the solar, geothermal, and marine sectors, and it plays a more important role in Japan than in the US or Europe. Implementation of the Kyoto Protocol has no significant effect on innovation in European countries. (4) Three institutional factors—namely, the legal system and property rights; regulations; and freedom to trade internationally—are confirmed to be the driving forces, whereas this is not the case for the growth and free circulation of money. Policy implications for the optimization of the renewable energy sector's structure, the enhancement of renewable energy capacity, and the improvement of R&D investment and the institutional environment are proposed. Future research should shed light on a broader sample, using micro-level and socio-technical analysis.     

Fuzzy Multi-Criteria Decision Making for Solar Power Plant Location Selection

Vietnam is one of Southeast Asian countries with a rapid GDP growth rate, ranging from 6.5% to 7% annually, leading to an average increase in energy demand of 11% per year. This demand creates many new opportunities in the energy industry, especially renewable energy, to ensure sustainable development in the future for the country with applications of solar energy growing at the present, and other opportunities to expand in the future. In Vietnam, thanks to favorable weather, climate, terrain characteristics and many preferential support policies, there are many great opportunities in the field of solar energy exploitation and application. Location selection is an important problem in all renewable energy projects. Therefore, the author proposed a fuzzy Multi-criteria Decision-Making Model (MCDM) model for solar power plant location selection in this study, and as a result, location 5 is the optimal solution. The contribution of this study is to propose a MCDM for solar power plant location selection in Vietnam under fuzzy environmental conditions.     

Perspectives of China’s Wind Energy Development

Wind energy is a kind of clean renewable energy, which is also relatively mature in technology, with large-scale development conditions and prospect for the commercialization. Wind energy’s development and utilization is an important measure to increase energy supply, adjust energy structure, ensure energy security, protect the ecological environment, reduce greenhouse gas emission and build a harmonious society. Wind energy is a kind of clean renewable energy, which is also relatively mature in technology, with large-scale development conditions and prospect for the commercialization. The development of wind energy is a systematic project, involving policy, law, technology, economy, society, environment, education and other aspects. The relationship among all the aspects should be well treated and coordinated. This paper has discussed the following relationships which should be well coordinated: relationship between wind resources and wind energy development, relationship between the wind turbine generator system and the components, relationship between wind energy technology and wind energy industry, relationship between off-grid wind power and grid-connected wind power, relationship between wind farm and the power grid, relationship between onshore wind power and offshore wind power, relationship between wind energy and other energies, relationship between technology introduction and self-innovation, relationship among foreign-funded, joint ventured and domestic-funded enterprises and relationship between the government guidance and the market regulation, as well as giving out some suggestions.     

The quest for carbon-neutral industrial operations: renewable power purchase versus distributed generation

Integrating renewable energy into the manufacturing facility is the ultimate key to realising carbon-neutral operations. Although many firms have taken various initiatives to reduce the carbon footprint of their facilities, there are few quantitative studies focused on cost analysis and supply reliability of integrating intermittent wind and solar power. This paper aims to fill this gap by addressing the following question: shall we adopt power purchase agreement (PPA) or onsite renewable generation to realise the eco-economic benefits? We tackle this complex decision-making problem by considering two regulatory options: government carbon incentives and utility pricing policy. A stochastic programming model is formulated to search for the optimal mix of onsite and offsite renewable power supply. The model is tested extensively in different regions under various climatic conditions. Three findings are obtained. First, in a long term onsite generation and PPA can avoid the price volatility in the spot or wholesale electricity market. Second, at locations where the wind speed is below 6 m/s, PPA at $70/MWh is preferred over onsite wind generation. Third, compared to PPA and wind generation, solar generation is not economically competitive unless the capacity cost is down below $1.5 M/MW.     

Intelligent energy management control for independent microgrid

This work presents a new adaptive scheme for energy management in an independent microgrid. The proposed energy management system has been developed to manage the utilization of power among the hybrid resources and energy storage system in order to supply the load requirement based on multi-agent system (MAS) concept and predicted renewable powers and load powers. Auto regressive moving average models have been developed for predicting the wind speed, atmospheric temperature, irradiation, and connected loads. The structure proposed in this paper includes renewable sources as primary source and storage system as secondary source. A wind generator and solar PV array system together acts as primary source, which supplies power to the local load most of the time in this energy management strategy. When they fail to meet the load demand, the secondary source present in the system will assist the primary source and help to attain the goal of satisfying load demand without interruption. If the primary source and secondary source together are not able to meet the load demand then load shedding will be executed according to the priority set. Thus the developed MAS algorithm co-ordinates the hybrid system components and achieves energy management among renewable energy sources, storage units, and load under varying environmental conditions and varying loads. STATCOM based compensation has been implemented to balance the reactive power demand and to mitigate the voltage fluctuations and harmonics on the AC bus. The proposed microgrid has been simulated with MAS concept in Matlab/Simulink environment. The results presented in this paper show cases the effectiveness of the proposed energy management controller.     

Green energy?

The UK gets nearly all its energy from the fossil fuels (coal, oil, gas etc.) and nuclear power, approximately 15% being consumed in the form of electricity. It is now well known that the burning of fossil fuels is accompanied by atmospheric pollution in the form of acid rain, ozone depletion and the greenhouse effect. Renewable energy sources, e.g. wind, solar, tidal, wave, hydroelectric and geothermal power do not at present contribute significantly to the UK energy supply and are also accompanied by adverse effects on the environment. The best hope for meeting future energy needs may lie in containing energy consumption, increased generation efficiency and an expanded nuclear power programme. The author discusses the problems of acid rain and the greenhouse effect and describes several forms of renewable energy: wind energy, solar energy, tidal power, wave power, hydroelectricity, biomass geothermal power and nuclear power     

风、光、油互补控制器的设计

本文设计开发的一款基于风、光、油互补的充电控制器,可以实现风能和光能转化为蓄电池电能,在无风、无光照的条件下,且蓄电池的能量不足,可以启动油机进行发电,并对蓄电池进行充电。从而实现对可再生能源的充分利用,在保障设备供电的前提下,最大限度的节省燃油。     

Correlation analysis of small wind–solar–biomass hybrid energy system installed at RGTU Bhopal, MP (India)

The perspective of this paper represents all types of correlation existing among the various renewable power sources in the hybrid system to find out its feasibility. Among the different energy alternatives available, the wind energy system clubbed with solar photo voltaic panels and biomass gasifier for the production of electricity is found more suitable. As wind, solar and biomass hybrid energy systems stand out distinctly for their use in tropical regions. Keeping this in view a statistical correlation analysis of the said hybrid energy system has been evolved for a remote area (wind and solar data of which are collected from weather monitoring station installed at University Institute of Technology, Bhopal, India).     

An Integrated Approach Toward Renewable Energy Storage Using Rechargeable Ag@Ni0.67Co0.33S‐Based Hybrid Supercapacitors

Self‐powered charging systems in conjunction with renewable energy conversion and storage devices have attracted promising attention in recent years. In this work, a prolific approach to design a wind/solar‐powered rechargeable high‐energy density pouch‐type hybrid supercapacitor (HSC) is proposed. The pouch‐type HSC is fabricated by engineering nature‐inspired nanosliver (nano‐Ag) decorated Ni_0.67Co_0.33S forest‐like nanostructures on Ni foam (nano‐Ag@NCS FNs/Ni foam) as a battery‐type electrode and porous activated carbon as a capacitive‐type electrode. Initially, the core–shell‐like NCS FNs/Ni foam is prepared via a single‐step wet‐chemical method, followed by a light‐induced growth of nano‐Ag onto it for enhancing the conductivity of the composite. Utilizing the synergistic effects of forest‐like nano‐Ag@NCS FNs/Ni foam as a composite electrode, the fabricated device shows a maximum capacitance of 1104.14 mF cm^?2 at a current density of 5 mA cm^?2 and it stores superior energy and power densities of 0.36 mWh cm^?2 and 27.22 mW cm^?2, respectively along with good cycling stability, which are higher than most of previous reports. The high‐energy storage capability of HSCs is further connected to wind fans and solar cells to harvest renewable energy. The wind/solar charged HSCs can effectively operate various electronic devices for a long time, enlightening its potency for the development of sustainable energy systems.     

硝酸熔盐储热材料在太阳能利用中的研究进展

随着全球经济的快速发展,能源危机日渐凸显,太阳能作为可再生能源的一种,越来越受到人们的重视.因此,如何高效利用太阳能资源值得深究.熔盐具有良好的蓄热特性,在石化、电池及冶金行业中发挥着很大的作用,尤其可以作为传热蓄热介质应用于太阳能热发电和太阳能制氢中.其中硝酸盐的特性较为适合用于熔盐储热材料.主要针对硝酸熔融盐体系,一是介绍了硝酸熔融盐体系在太阳能方面的应用,二是介绍了国内外学者对此体系的物化性质研究,如工作温度范围、热力学性质及热稳定性等.通过对比,总结了不同混合熔融盐各项性能的异同.指出了硝酸熔融盐性能深入研究的方向,为硝酸熔盐在能源开发利用和环境保护等方面发挥更重要的作用提供了重要参考.     

Optimal operation of a distributed energy generation system for a sustainable palm oil-based eco-community

The palm oil industry potentially can be environmentally sustainable through utilizing the vast availability of biomass residues from palm oil mills as renewable energy sources. This work addresses the optimal operation of a combined bioenergy and solar PV distributed energy generation system to meet the electricity and heat demands of an eco-community comprising a palm oil mill and its surrounding residential community. A multiperiod mixed-integer linear programming planning and scheduling model is formulated on an hourly basis that optimally selects the power generation mix from among available biomass, biogas, and solar energy resources with consideration for energy storage and load shifting. A multiscenario approach is employed that considers scenarios in the form of many possible weather conditions and various energy profiles under varying mill operation modes and residential electricity consumption. The proposed approach is demonstrated on a realistic case study for a palm oil mill in the Iskandar Malaysia economic development region. The computational results indicate that biomass-based resource is the preferred renewable energy to be implemented due to the high cost associated with solar PV. As well, load shifting and energy storage can be feasibly deployed for demand peak shaving particularly for solar PV systems.     

Prospect of Intended Nationally Determined Contribution target achievement by Indian power sector

It is widely believed that power generation by burning fossil fuel like coal, gas/oil causes global warming. The 21st session of the Conference of Parties held in Paris in December 2015 aimed to strengthen the global response to the threat of climate change. India communicated the Intended Nationally Determined Contribution target for the above conference with aim to achieve 175,000 MW renewable energy by year 2022 and about 40% cumulative installed capacity from non-fossil fuel by year 2030. To make an assessment of possibility of achieving this goal, we estimated the source-wise installed capacity in year 2030 based on hydro and renewable energy potential in India, proposed Compound Annual Growth Rate for year 2016–2030 and capacity addition trend in leading economy and compared the estimate with the Intended Nationally Determined Contribution target. The study indicates that with the present state of development of the sector, India is likely to fall short of the target of 175,000 MW renewable energy installed capacity in year 2022, but it will achieve the target of having more than 40% installed capacity from non-fossil fuel by year 2030.