Telecommunications and Energy Infrastructure Sharing: Technical and Socio-Economic Impact Analysis in a Multi-Operator Environment in Burundi

The sharing of telecommunications infrastructure and power supply equipment is currently an applicable and very common model for grouping signal transmission and reception equipment and their power supply on the same site to ensure coverage of fixed, mobile, Internet and radio and television broadcasting networks. This study consists of producing an inventory of telecommunications and energy infrastructure sharing, focusing on the one hand on analyzing the impacts of active and passive sharing of telecommunications infrastructure from a technical point of view, particularly in terms of legal framework, deployment, coverage and exposure to electromagnetic radiation, and on the other hand on identifying the effects of infrastructure sharing from a socio-economic point of view in a multi-operator mobile telephony environment, by indicating the economic value of the revenue generated as a result of infrastructure sharing. Finally, the results will contribute to identify strategies for ensuring maximum deployment and coverage of the country, and for developing the information and communication technologies (ICT) sector in order to contribute to the digital transformation by digitising services using mobile telephony and the Internet in Burundi.

Research on Enterprise Operation Mechanism Innovation Under Economic Transformation

With the rapid development of the market economy, complex changes have occurred in the market environment, and the competition among enterprises has become extremely fierce. The transformation of the structure of the market economy has prompted enterprises to seek for new developments and innovations. Under the background of the new economy, enterprises must begin from the perspective of internal management and internal strategic development to ensure quality enterprise operation mechanism innovation. This would help direct enterprise operation and development as well as demonstrate the value of enterprise internal management. In this way, enterprises will be able to array their overall competitiveness. This paper comprises a detailed analysis of the connotation and innovation of enterprise operation mechanism under the economic transformation, with the purpose of investigating the innovation strategy of enterprise operation mechanism under the economic transformation.

A low-carbon economic dispatch model for electricity market with wind power based on improved ant-lion optimisation algorithm

Introducing carbon trading into electricity market can convert carbon dioxide into schedulable resources with economic value.However,the randomness of wind power generation puts forward higher requirements for electricity market transactions.Therefore,the carbon trading market is introduced into the wind power market,and a new form of low-carbon economic dispatch model is developed.First,the economic dispatch goal of wind power is be considered.It is projected to save money and reduce the cost of power generation for the system.The model includes risk operating costs to account for the impact of wind power output variability on the system,as well as wind farm negative efficiency operating costs to account for the loss caused by wind abandonment.The model also employs carbon trading market metrics to achieve the goal of lowering system carbon emissions,and analyze the impact of different carbon trading prices on the system.A low-carbon economic dispatch model for the wind power market is implemented based on the following two goals.Finally,the solution is optimised using the Ant-lion optimisation method,which combines Levi's flight mechanism and golden sine.The proposed model and algorithm's rationality is proven through the use of cases.

An Intelligent Control Method for the Low-Carbon Operation of Energy-Intensive Equipment

Based on an analysis of the operational control behavior of operation experts on energy-intensive equipment,this paper proposes an intelligent control method for low-carbon operation by combining mechanism analysis with deep learning,linking control and optimization with prediction,and integrating decision-making with control.This method,which consists of setpoint control,self-optimized tuning,and tracking control,ensures that the energy consumption per tonne is as low as possible,while remaining within the target range.An intelligent control system for low-carbon operation is developed by adopting the end-edge-cloud collaboration technology of the Industrial Internet.The system is successfully applied to a fused magnesium furnace and achieves remarkable results in reducing carbon emissions.

Two-Stage Low-Carbon Economic Dispatch of Integrated Demand Response-Enabled Integrated Energy System with Ladder-Type Carbon Trading

Driven by the goal of“carbon neutrality”and“emission peak”,effectively controlling system carbon emissions has become significantly important to governments around the world.To this end,a novel two-stage low-carbon economic scheduling framework that considers the coordinated optimization of ladder-type carbon trading and integrated demand response(IDR)is proposed in this paper for the integrated energy system(IES),where the first stage determines the energy consumption plan of users by leveraging the price-based electrical-heat IDR.In contrast,the second stage minimizes the system total cost to optimize the outputs of generations with consideration of the uncertainty of renewables.In addition,to fully exploit the system’s emission reduction potential,a carbon trading cost model with segmented CO_(2) emission intervals is built by introducing a reward-penalty ladder-type carbon trading mechanism,and the flexible thermal comfort elasticity of customers is taken into account by putting forward a predicted mean vote index on the load side.The CPLEX optimizer resolves the two-stage model,and the study results on a modified IES situated in North China show the proposed model can effectively reduce carbon emissions and guarantee economical efficiency operation of the system.

An Evolutionary Economic Geography Perspective on Types of Operation Development in West Lake, China

The types of operation play a key role in facilitating tourism consumption and economic development in a tourism destination. By adopting evolutionary economic geography theory, the paper analyzes the types of operation in West Lake Scenic Area from 1978 to 2013. First, an evolution process consisting of four stages is underpinned, and they are: the new establishment stage, the preliminary development stage, the speedup development stage, and the stabilized maturity stage. Specifically, the distinct characteristics associated with operation types are compared and evaluated at different stages throughout the process. The evolution trees are introduced to scrutinize types of operation development. The results of evolution trees demonstrate the substantial increase in both numbers and types. Second, by applying GIS spatial analysis, the paper also analyzes the spatial evolution characteristics on the types of operation, and the results unveil the co-existence of centripetal and centrifugal forces: the processes of spatial agglomeration and spatial dispersion. More specifically, we recognize the spatial process includes the emergence of node and concentration(1978–1995), the sparse distribution and intensity reduction(1996–2002), the patchy distribution and spatial agglomeration intensification(2003–2008), the dispersed distribution and core area agglomeration(2009–2013). Lastly, path dependence on resource endowment, government and market innovation, knowledge learning and spillover can reasonably explain the types of operation evolution. In conclusion, the evolutionary economic geography theories provide new theoretical and empirical perspectives for tourism policy analysis. At the same time, our comprehensive evidences impart more comprehensive insights and offer useful managerial and policy implications.

Simulation platform of economical operation and dispatch for power plant based on float-coded genetic algorithm

This paper discusses a float-coded genetic algorithm and its application to the optimization of the power plant operation concerning the simulation problem of economical operation for power plant systems. The method proposed realizes the load optimization between generating units of power plants and their loads, solves the problem of influence of a unit plant pause spoilage and load variance on the optimal plant combination and load, and finally establishes a simulation platform for the power plant economical operation.

Low-Carbon Economic Operation Optimization of Mine Integrated Energy System Considering Energy Supply Uncertainty

Mine integrated energy system(MIES)can promote the uilliation of derived energy and achieve multi-energy complementation and ecological protection.Now it gradually becomes an important focus for scientific carbon reduction and carbon neutrality.To reduce the impact of uncertain prediction differences on the system during the process of using mine derived energy,a low-carbon economic operation strategy of MIES considering energy supply uncertainty is developed in this paper.Firstly,based on the basic structure of energy flow in MIES,the energy-carbon flow framework of MIES is established for the low-carbon operation requirements.Secondly,considering carbon emission constraints,the low-carbon economic operation optimization model(LEOOM)is bullt for MIES to minimize operation cost and carbon emission.Finally,multiple uncertainties of the system are modeled and analyzed by using the robust model under the risk aversion strategy of information gap decision theory(IGDT),and a model conversion method is designed to optimize the low-carbon economic operation model.The simulation results under three scenarios demonstrate that compared to the existed economic dispatching models,the proposed model achieves a 30%reduction in carbon emission while the operational cost of MIES only is increased by 2.1%.The model ffiently mitigates the carbon emission of the system,and the proposed uncertain treatment strategy can significantly improve the robustness of obtained operation plans.

Analysis of economic operation of China's apparel industry

2018 marked the 40th anniversary of China’s adoption of the reform and opening-up policy. To China’s apparel industry, 2018 was a year full of challenges, changes and tests. Faced with the volatile international situ-ations and the tremendous pressure of the domestic structural adjustment, China’s apparel industry had maintained an overall steady development momentum characterized by steady performance on the domestic and foreign sales market, steady improvement of the operation quality and efficiency, improvement of transformation and upgrade effects, regardless of gathering crises and uncertainties.

The economic operation of the filament weaving industry in the first three quarters in 2017

Since 2017,the global economic recovery has increased tendency.The economic growth of main countries and districts has promoted.The Chinese economy welcomes the successful commencement of the 19th National Congress in transforming from high-speed growing economy into high-quality development.With the promotion of new era and new dynamic power,

The relationship between energy consumption and economic growth and the development strategy of a low-carbon economy in Kazakhstan

Fossil energy is the material basis of human survival, economic development and social progress. The relationship between energy consumption and economic growth is becoming increasingly close. However, energy consumption is the major source of greenhouse gases, which can significantly affect the balance of the global ecosystem. It has become the common goal of countries worldwide to address climate change, reduce carbon dioxide emissions, and implement sustainable development strategies. In this study, we applied an approximate relationship analysis, a decoupling relationship analysis, and a trend analysis to explore the relationship between energy consumption and economic growth using data from Kazakhstan for the period of 1993-2010. The results demonstrated： （1） the total energy consumption and GDP in Kazakhstan showed a ＂U＂-type curve from 1993 to 2010. This curve was observed because 1993-1999 was a period during which Kazakhstan transitioned from a republic to an independent country and experienced a difficult transition from a planned to a market economy. Then, the economic system became more stable and the industrial production increased rapidly because of the effective financial, monetary and industrial policy support from 2000 to 2010. （2） The relationships between energy con- sumption and carbon emissions, economic growth and energy exports were linked; the carbon emissions were mainly derived from energy consumption, and the dependence of economic growth on energy exports gradually increased from 1993 to 2010. Before 2000, the relationship between energy consumption and economic growth was in a recessional decoupling state because of the economic recession. After 2000, this relationship was in strong and weak decoupling states because the international crude oil prices rose and energy exports increased greatly year by year. （3） It is forecasted that Kazakhstan cannot achieve its goal of energy consumption by 2020. Therefore, a low-carbon economy is the best strategic choice to address climate change from a global perspective in Kazakhstan. Thus, we proposed strategies including the improvement of the energy consumption structure, the development of new energy and renewable energy, the use of cleaner production technologies, the adjustment and optimization of the industrial structure, and the expansion of forest areas.

GA and PSO culled hybrid technique for economic dispatch problem with prohibited operating zones

This paper presents an efficient and reliable genetic algorithm (GA) based particle swarm optimization (PSO) tech- nique (hybrid GAPSO) for solving the economic dispatch (ED) problem in power systems. The non-linear characteristics of the generators, such as prohibited operating zones, ramp rate limits and non-smooth cost functions of the practical generator operation are considered. The proposed hybrid algorithm is demonstrated for three different systems and the performance is compared with the GA and PSO in terms of solution quality and computation efficiency. Comparison of results proved that the proposed algo- rithm can obtain higher quality solutions efficiently in ED problems. A comprehensive software package is developed using MATLAB.

The Current Status and Prospects of China’s Low- Carbon Economic Development

This paper aims to explore the importance of developing a low-carbon economy in China and presents a series of key recommendations.Firstly,it emphasizes the adverse impact of economic development on the natural environment and highlights the unsustainable nature of China’s previous pursuit of economic growth at the expense of its ecological surroundings.Subsequently,the paper provides specific recommendations in response to the pressing resource and environmental challenges in current economic and social development,along with the urgent need to accelerate the transition towards a greener,low-carbon economy to achieve carbon peak and carbon neutrality goals.The key recommendations include continually enhancing the legal framework for a low-carbon economy,optimizing the energy structure,improving energy efficiency,and optimizing the industrial structure.These proposals aim to offer concrete actions to support the development of a low-carbon economy in China,encompassing legal support,energy transformation,and industrial upgrading.Ultimately,this paper underscores China’s potential in developing a low-carbon economy and calls for resolute actions to strengthen legal frameworks,foster technological innovation,and promote industrial restructuring.These actions will guide China towards a more sustainable and environmentally conscious economic future,aligning its growth trajectory with the global imperative to reduce carbon footprints.

The Low-Carbon Operations in Ecotourism Service Supply Chain Management

The ecotourism has quickly developed as the fastest growing industry in recent years. Ecotourism is one kind of tourism industry that also consists of complex service providers like travel agents, hotels, transportations （such as airplane, bus, and ship） restaurants, and destinations, connecting with operational diversity; therefore, those of supported services are linked with a supply chain together, and its management is called ecotourism service supply chain management （ESSCM）. Moreover, a low-carbon operation management has also become an important challenge to ecotourism nowadays. Based on the problems of service and low-carbon operation management made together above, exploring an effective solution into ecotourism is worthy. Using ESSCM as a strategy for solving industrial problems of service and low-carbon operations management in ecotourism is explored in this paper. The contributions here include clearly explanations of what ESSCM is and how ESSCM is used with low-carbon operations as a sustainability strategy, and finally a practical case study is also examined in the end.

The Influence of Low-carbon Economy on Economic Major Teaching and Its Measures

In recent years the market economy is developing at a rapid pace,large amount of energy has been produced and consumed by us,which results in global warming and environmental degradation problems and various chain of events of adverse effects have been caused one such thing is smog.As a new economic development model,low-carbon economy model has received much attention at home and abroad.China is keen and gives great importance to the development of low-carbon economy.With the continuous development and progress towards the low-carbon economy,a new economic profession has been promoted,which has also brought about a certain degree of influence on the current economic professional teaching.In the low-carbon economy,existing economic professional teaching must be considered and explored,effective measures should be taken to respond.The author explores and analyzes the impact of low-carbon economy on economic professional teaching,and proposes the development measures of economic professional teaching in lowcarbon economy.

Modified Cuckoo Search Algorithm to Solve Economic Power Dispatch Optimization Problems

A modified cuckoo search(CS) algorithm is proposed to solve economic dispatch(ED) problems that have nonconvex, non-continuous or non-linear solution spaces considering valve-point effects, prohibited operating zones, transmission losses and ramp rate limits. Comparing with the traditional cuckoo search algorithm, we propose a self-adaptive step size and some neighbor-study strategies to enhance search performance.Moreover, an improved lambda iteration strategy is used to generate new solutions. To show the superiority of the proposed algorithm over several classic algorithms, four systems with different benchmarks are tested. The results show its efficiency to solve economic dispatch problems, especially for large-scale systems.

Exact Box-Constrained Economic Operating Region for Power Grids Considering Renewable Energy Sources

The growing integration of renewable energy sources manifests as an effective strategy for reducing carbon emissions. This paper strives to efficiently approximate the set of optimal scheduling plans(OSPs) to enhance the performance of the steady-state adaptive cruise method(SACM) of power grid, improving the ability of dealing with operational uncertainties. Initially, we provide a mathematical definition of the exact boxconstrained economic operating region(EBC-EOR) for the power grid and its dispatchable components. Following this, we introduce an EBC-EOR formulation algorithm and the corresponding bi-level optimization models designed to explore the economic operating boundaries. In addition, we propose an enhanced big-M method to expedite the computation of the EBCEOR. Finally, the effectiveness of the EBC-EOR formulation, its economic attributes, correlation with the scheduling plan underpinned by model predictive control, and the significant improvement in computational efficiency(over twelvefold) are verified through case studies conducted on two test systems..

Towards a new climate economics:research areas and prospects

International cooperation to address climate change now stands at a crossroads.With a new international regime for emissions reduction established by the Durban Platform, "New Climate Economics(NCE)" has become a research hotspot.The need for urgent action to combat climate change has prompted discussion on reforms of economic growth patterns and the energy system.The industrial civilization,therefore,now faces a transition towards a new pathway for ecological sustainability.NCE explores new economic concepts,theories,and analytical methods to design a balanced pathway for sustainable growth and emission reduction.Instead of getting trapped in discussions on allocation of emission reduction responsibilities and obligations among countries,NCE pays more attention to developing win-win multilateral cooperation mechanisms that facilitate collaborative R&D and knowledge sharing.In addition,NCE studies incentives for low-carbon transition,turning carbon emission reduction into a domestic need for countries to increase their international competitiveness.To achieve the 2°C target,most countries around the world face challenges of insufficient emission allowances to cover expected emissions associated with their projected economic growth.As carbon emissions rights becomes an increasingly scarce resource,increasing the carbon productivity of the economy turns to be the critical path to address the dilemma of green or growth.NCE studies the historical evolution of carbon productivity for countries at different development stages as well as ways to enhance such carbon productivity.This type of study provides invaluable lessons for emerging economies to reach their own emission peaks without losing the momentum of growth.Replacing fossil fuels with new and renewable energy has proven to be an inevitable choice for reshaping the energy system and addressing climate change- it has already become a global trend.NCE studies incentives for new energy technology innovation and deployment provided by carbon pricing,and sheds light on the co-benefits of climate change mitigation,such as resource conservation,environmental protection,and energy security.The role of carbon pricing in promoting intemational R&D cooperation and technical transfer will also be studied.The shift in consumption patterns is another key factor enabling a low-carbon transformation.Therefore,NCE also explores the theoretical work on new values of wealth,welfare and consumption,new lifestyles in the context of ecological civilization,concepts and implementation of low-carbon urban planning in developing countries,and the impacts of consumption pattern changes on social development,material production,and urban infrastructure construction.