scholarly journals Research on China’s Power Sustainable Transition Under Progressively Levelized Power Generation Cost Based on a Dynamic Integrated Generation–Transmission Planning Model

2019 ◽  
Vol 11 (8) ◽  
pp. 2288 ◽  
Author(s):  
Huang ◽  
Liang ◽  
Liang ◽  
Tong

The government of China has introduced a series of energy-saving and emission reduction policies and energy industry development plans to promote the low-carbon development of the power sector. Under relatively clear and specific low-carbon development goals, the ongoing power transition has recently been studied intensively in the frame of global sustainable transition. With the development of renewable technologies, besides the long-term development goals, learning and diffusion of innovative technologies and the incentive effect of supportive policies are also important driving forces of the transition. The levelized power generation cost is the power generation cost when the net present value of the power project is zero. In this paper, the levelized power generation cost model with a learning curve and policy scenario is used to reflect the impact of technology diffusion and incentive policies from the economy perspective. By treating it as a state transfer function, a dynamic power generation–transmission integrated planning model based on the Markov Decision Process is established to describe the long-term power transition pathway under the impact of power technology diffusion and incentive policies. Through the calculation of power demand forecasting data up to 2050 and other power system information, the dynamic planning result shows that the current low-carbon policies cannot obviously reduce the expansion of coal power, but if strict low-carbon policies are implemented, the renewable power will gradually become dominant in the power structure before 2030.

Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2442 ◽  
Author(s):  
Jussi Ekström ◽  
Matti Koivisto ◽  
Ilkka Mellin ◽  
Robert Millar ◽  
Matti Lehtonen

In future power systems, a large share of the energy will be generated with wind power plants (WPPs) and other renewable energy sources. With the increasing wind power penetration, the variability of the net generation in the system increases. Consequently, it is imperative to be able to assess and model the behavior of the WPP generation in detail. This paper presents an improved methodology for the detailed statistical modeling of wind power generation from multiple new WPPs without measurement data. A vector autoregressive based methodology, which can be applied to long-term Monte Carlo simulations of existing and new WPPs, is proposed. The proposed model improves the performance of the existing methodology and can more accurately analyze the temporal correlation structure of aggregated wind generation at the system level. This enables the model to assess the impact of new WPPs on the wind power ramp rates in a power system. To evaluate the performance of the proposed methodology, it is verified against hourly wind speed measurements from six locations in Finland and the aggregated wind power generation from Finland in 2015. Furthermore, a case study analyzing the impact of the geographical distribution of WPPs on wind power ramps is included.


2021 ◽  
Author(s):  
Danial Esmaeili Aliabadi ◽  
Katrina Chan

Abstract BackgroundAccording to sustainable development goals (SDGs), societies should have access to affordable, reliable, and sustainable energy. Deregulated electricity markets have been established to provide affordable electricity for end-users through advertising competition. Although these liberalized markets are expected to serve this purpose, they are far from perfect and are prone to threats, such as collusion. Tacit collusion is a condition, in which power generating companies (GenCos) disrupt the competition by exploiting their market power. MethodsIn this manuscript, a novel deep Q-network (DQN) model is developed, which GenCos can use to determine the bidding strategies to maximize average long-term payoffs using available information. In the presence of collusive equilibria, the results are compared with a conventional Q-learning model that solely relies on past outcomes. With that, this manuscript aims to investigate the impact of emerging DQN models on the establishment of collusive equilibrium in markets with repetitive interactions among players. Results and ConclusionsThe outcomes show that GenCos may be able to collude unintentionally while trying to ameliorate long-term profits. Collusive strategies can lead to exorbitant electric bills for end-users, which is one of the influential factors in energy poverty. Thus, policymakers and market designers should be vigilant regarding the combined effect of information disclosure and autonomous pricing, as new models exploit information more effectively.


Energies ◽  
2019 ◽  
Vol 12 (18) ◽  
pp. 3453 ◽  
Author(s):  
Ceran ◽  
Orłowska

The article presents a mathematical model designed for scheduling cooperation between Hybrid Power Generation System HPGS and an electricity system viewed from a multifaceted perspective. The multifaceted approach consists in taking into account energy, economic, and environmental criteria in the calculation process. The considered HPGS is constructed of a photovoltaic installation PV, wind turbines WT, and energy storage in the form of an electrolyzer El coupled with a fuel cell FC. The model consists of energy analysis and multi-variant analysis of the decision-making. Cooperation scheduling is performed in a long-term period taking into account the decrease in performance of HPGS components during the years of its operation. The impact of the performance decline in HPGS devices on the final result of scheduling the work of HPGS in the electricity system is the main issue considered in this article. This matter has not been analyzed yet. Additionally, a sensitivity analysis of the impact of a decrease in the efficiency of selected HPGS components (PV, FC, and El) on the final effect of the simulation is presented.


2014 ◽  
Vol 25 (4) ◽  
pp. 612-618 ◽  
Author(s):  
Amiya Kumar Bagchi

The need for a new economy is great and the obstacles are many: growing inequalities within and between nations and regions, new complicity between corporations and non-democratic political regimes and failure of workers worldwide to make common cause. There are alternative models, indicating that a more egalitarian approach does not necessarily reduce living standards. Environmental degradation cannot be addressed by a technological fix: the threat to our long-term survival is pre-figured in the impact of climate change and corporate rapacity on the land and sea resources of the indigenous minorities who live as humanity has lived for most of its existence. A 10-point plan for a follow-up to the United Nations’ Millennium Development Goals is suggested, but it will work only if solidarity networks can be built across divides of ascribed race, religion and nominal income levels, to express the will of the people in place of the government representatives who are prepared to gamble the future of humanity for corporate profit and power.


2021 ◽  
Vol 8 ◽  
Author(s):  
Nancy L. Shackell ◽  
David M. Keith ◽  
Heike K. Lotze

The United Nations Convention on Biological Diversity was established in 1993. Canada is a signatory nation that has adopted, and exceeded, the UN Aichi biodiversity target to protect 10% of coastal and marine areas through marine protected areas or “other effective area-based conservation measures” (OECMs) by 2020. However, the science of OECMs as contributors to biodiversity conservation is relatively young and their definition and efficacy testing continue to evolve. Here, we examine whether areas closed to fishing on the Scotian Shelf in Atlantic Canada, where the groundfish community had collapsed in the early 1990s, have the potential to serve as OECMs for groundfish recovery. Using long-term research survey data, we show that three long-term area-based fishing fleet closures did not enhance per capita population growth rates of the majority of 24 common groundfish species. At a regional scale, 10 out of 24 species are currently at less than 50% of their pre-collapse (1979–1992) biomass, reflecting a sustained diminished productivity, even though fishing mortality has been drastically reduced through a moratorium in 1993. Additional measures are needed to protect severely depleted groundfish, especially when the causes of continued diminished productivity are still largely unresolved. The importance of OECMs as a risk-averse approach toward sustainability is globally accepted and they can be considered a tool toward the overarching UN Sustainable Development Goals (SDG-14). Our study provides further impetus toward articulating the criteria of OECMs and improving their design, monitoring, and testing, while placing OECMs within the broader context of sustainable ecosystem-based management.


Materials ◽  
2020 ◽  
Vol 13 (13) ◽  
pp. 3007 ◽  
Author(s):  
Xunzhi Yin ◽  
Qi Dong ◽  
Mike Lawrence ◽  
Daniel Maskell ◽  
Jiaqi Yu ◽  
...  

This research analyses straw degradation inside straw bale walls in the region and develops the prediction of degradation inside straw bale walls. The results show that the straw inside straw bale walls have no serious concerns of degradation in the high hygrothermal environment in the region with only moderate concerns of degradation in the area 2–3 cm deep behind the lime render. The onsite investigations indicate that the degradation isopleth model can only predict straw conditions behind the rendering layer, whereas the isothermal model fits the complete situation inside straw bale walls. This research develops the models for predicting straw degradation levels inside a straw bale building in a warm (humid) continental climate. The impact of this research will help the growth of low carbon energy efficient straw bale construction with confidence pertaining to its long-term durability characteristics both in the region and regions sharing similar climatic features globally.


2020 ◽  
Vol 10 (16) ◽  
pp. 5543
Author(s):  
Yi Zhang ◽  
He Qi ◽  
Yu Zhou ◽  
Zhonghua Zhang ◽  
Xi Wang

To meet long-term climate change targets, the way that heating and cooling are generated and distributed has to be changed to achieve a supply of affordable, secure and low-carbon energy for all buildings and infrastructures. Among the possible renewable sources of energy, ground source heat pump (GSHP) systems can be an effective low-carbon solution that is compatible with district heating and cooling in urban areas. There are no location restrictions for this technology, and underground energy sources are stable for long-term use. According to a previous study, buildings in urban areas have demonstrated significant spatial heterogeneity in terms of their capacity to demand (C/D) ratio under the application of GSHP due to variations in heating demand and available space. If a spatial sharing strategy can be developed to allow the surplus geothermal capacity to be shared with neighbors, the heating and cooling demands of a greater number of buildings in an area can be satisfied, thus achieving a city with lower carbon emissions. In this study, a GSHP district system model was developed with a specific embedding sharing strategy for the application of GSHP. Two sharing strategies were proposed in this study: (i) Strategy 1 involved individual systems with borehole sharing, and (ii) Strategy 2 was a central district system. Three districts in London were selected to compare the performance of the developed models on the C/D ratio, required borehole number and carbon emissions. According to the comparison analysis, both strategies were able to enhance the GSHP application capacity and increase the savings of carbon emissions. However, the improvement levels were shown to be different. A greater number of building types and a higher variety in building types with larger differentiation in heating and cooling demands can contribute to a better district sharing performance. In addition, it was found that these two sharing strategies were applicable to different kinds of districts.


Author(s):  
Najat Maalla M’jid

Abstract More than 1 billion children are exposed to violence every year. The devastating immediate and long-term impact of violence on the mental health of children is well established. Despite commitments made by the international community to end violence against children and support their mental health, there has been a serious lack of investment and capacity to provide quality, rights-based, culturally appropriate mental health care globally. The arrival of the COVID-19 pandemic has magnified these challenges. This article outlines how the risk of children experiencing violence has increased and how the pandemic has weakened the capacity of child protection and mental health services to respond. The article argues for child protection, mental health and other core services to be prioritized during and after the pandemic. A failure to do so will undermine the international community’s ability to achieve the Sustainable Development Goals by 2030 and to fulfil its obligations under the UN Convention on the Rights of the Child.


Author(s):  
Arild Underdal ◽  
Rakhyun E. Kim

This chapter explores goal setting, as exemplified by the Sustainable Development Goals, as a governance strategy for reforming or rearranging existing international agreements and organizations so as to enhance their overall performance in promoting sustainable development. It discusses the political and entrepreneurial challenges peculiar to bringing existing international institutions into line, and identifies the conditions under which goal setting could be an effective tool for orchestration. The chapter concludes that, because of their ecumenical diversity and soft priorities, the Sustainable Development Goals are not likely to serve as effective instruments for fostering convergence. The 2030 Agenda for Sustainable Development provides neither an overarching norm that can serve as a platform for more specific goals nor an integrating vision of what long-term sustainable development in the Anthropocene means. In the absence of such an overarching principle and vision, the impact of the Sustainable Development Goals on global governance will likely materialize primarily as spurring some further clustering of existing regimes and organizations within crowded policy domains. The Sustainable Development Goals cannot be expected to generate major architectural reforms that will significantly reduce the fragmentation of the global governance system at large.


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