scholarly journals Tackling the Risk of Stranded Electricity Assets with Machine Learning and Artificial Intelligence

2021 ◽  
Author(s):  
Joseph Nyangon
Keyword(s):  
Climate Change ◽  
Artificial Intelligence ◽  
Machine Learning ◽  
Carbon Budget ◽  
Energy Sector ◽  
Low Carbon ◽  
Low Carbon Economy ◽  
Legal Challenges ◽  
Nationally Determined Contributions ◽  
Implementation Level

The Paris Agreement on climate change requires nations to keep the global temperature within the 2°C carbon budget. Achieving this temperature target means stranding more than 80% of all proven fossil energy reserves as well as resulting in investments in such resources becoming stranded assets. At the implementation level, governments are experiencing technical, economic, and legal challenges in transitioning their economies to meet the 2°C temperature commitment through the nationally determined contributions (NDCs), let alone striving for the 1.5°C carbon budget, which translates into greenhouse gas emissions (GHG) gap. This chapter focuses on tackling the risks of stranded electricity assets using machine learning and artificial intelligence technologies. Stranded assets are not new in the energy sector; the physical impacts of climate change and the transition to a low-carbon economy have generally rendered redundant or obsolete electricity generation and storage assets. Low-carbon electricity systems, which come in variable and controllable forms, are essential to mitigating climate change. These systems present distinct opportunities for machine learning and artificial intelligence-powered techniques. This chapter considers the background to these issues. It discusses the asset stranding discourse and its implications to the energy sector and related infrastructure. The chapter concludes by outlining an interdisciplinary research agenda for mitigating the risks of stranded assets in electricity investments.

scholarly journals Energy efficiency in universities: the need for guidance and a strategic approach

2011 ◽  
pp. 161-168
Author(s):  
Sean Murray
Keyword(s):  
Climate Change ◽  
Greenhouse Gases ◽  
Cost Effective ◽  
Integrated Approach ◽  
Energy Sector ◽  
Low Carbon ◽  
Low Carbon Economy ◽  
Strategic Approach ◽  
Effective Manner ◽  
Climate Action

The leaders of many countries are discussing ambitious targets for reducing emissions of greenhouse gases (GHGs) as a means of mitigating the worst impact of climate change on the environment and our economies. In 2007, EU leaders endorsed an integrated approach to climate change and energy policy. They committed Europe to transforming itself into a highly energy-efficient low carbon economy through their 20-20-20 targets, according to the European Commission, Climate Action. These targets are ambitious and consist of: Figure 1, below, shows that the carbon dioxide equivalent of all greenhouse gases (CO2 eq.) from the energy sector is the second greatest contributor of greenhouse gases. This fact creates an opportunity to explored ways to reduce the emissions from the energy sector. However, the methods need to be target the most significant culprits in a cost-effective manner in order to the have maximum affect on the reduction of emissions from the ...

scholarly journals Challenges and Opportunities of Mongolia’s response to mitigate climate change

2021 ◽  
Vol 44 (112) ◽  
pp. 140-156
Author(s):  
Selenge Khishgee
Keyword(s):  
Climate Change ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Primary Energy ◽  
Energy Sector ◽  
Low Carbon ◽  
Gas Emissions ◽  
Low Carbon Economy ◽  
Challenges And Opportunities ◽  
Mitigate Climate Change

As part of the nationally determined contribution to the implementation of the Paris Agreement on Climate Change, Mongolia aimsto reduce greenhouse gas emissions (GHGs) by 2.7% by 2030. The country’s per capita of greenhouse gas emissions are 2.7 times higher than the world average and relatively high in the region, and this is becoming a major issue. This is due to the fact that coal alone accounts for more than 90% of primary energy production, whereas renewable energy accounts for a smallproportion of total energy sources. Therefore, the role of the energy sector that emits the most greenhouse gas is important in reducing its fossil fuel consumption.This study addresses the key issues facing Mongolia’s energy sector in reducing greenhouse gas emissions and identifies opportunities for further actions. Furthermore, this will contribute to other studies on sustainable development, transition to a low-carbon economy, and implementation of energy policy recommendations.   Монгол орны уур амьсгалын өөрчлөлтийг сааруулах боломж, тулгарч буй сорилт (Эрчим хүчний салбарын жишээн дээр) Хураангуй: Уур амьсгалын өөрчлөлтийн тухай Парисын хэлэлцээрийг хэрэгжүүлэх үндэсний хэмжээнд тодорхойлсон хувь нэмрийн (ҮХТХН/ NDC) хүрээнд манай улс хүлэмжийн хийн ялгарлыг (ХХЯ) 2030 он гэхэд 22,7% бууруулахаар зорилт тавин ажиллаж байна. Монгол Улсын нэг хүнд ногдох ХХЯ нь дэлхийн дунджаас даруй 2,7 дахин их, бүс нутгийн хэмжээнд харьцангуй өндөр байгаа нь тулгамдаж буй асуудал болж байна. Үүний гол шалтгаан нь анхагдагч эрчим хүчний бүтээгдэхүүний үйлдвэрлэлийн 90 гаруй хувийг нүүрс дангаараа бүрдүүлж, сэргээгдэх эрчим хүчний эх үүсвэр нь нийт эрчим хүчний эх үүсвэрт багахан хувийг эзэлж байгаатай холбоотой юм. Тиймээс ХХЯ-ыг хамгийн ихээр ялгаруулж буй эрчим хүчний салбарын хатуу түлшний хэрэглээг багасгахад гүйцэтгэх үүрэг чухал байна. Энэхүү өгүүлэлд хүлэмжийн хийг бууруулахад манай улсын эрчимхүчний салбарт тулгамдаж буй гол гол асуудлыг хөндөж цаашид авч хэрэгжүүлэх боломж, гаргалгааг тодорхойлохыг зорьлоо. Ингэснээр тогтвортой хөгжил, бага нүүрстөрөгчийн эдийн засагт шилжих, эрчим хүчний бодлогын зөвлөмжийг хэрэгжүүлэх бусад судалгаанд хувь нэмэр оруулахад оршино. Түлхүүр үгс: Монгол Улс, Уур амьсгалын өөрчлөлт, Эрчим хүчний салбар, боломж, сорилт

Machine Learning in Agriculture

2018 ◽  
Vol 8 (6) ◽  
pp. 26 ◽  
Author(s):  
Matthew N. O. Sadiku ◽  
Chandra M. M Kotteti ◽  
Sarhan M. Musa
Keyword(s):  
Climate Change ◽  
Artificial Intelligence ◽  
Machine Learning ◽  
Disease Diagnosis ◽  
Automated Detection ◽  
Disease Prediction ◽  
Paper Briefly ◽  
Agriculture Sector ◽  
Modern Agriculture ◽  
Crop Disease

Machine learning is an emerging field of artificial intelligence which can be applied to the agriculture sector. It refers to the automated detection of meaningful patterns in a given data.  Modern agriculture seeks ways to conserve water, use nutrients and energy more efficiently, and adapt to climate change.  Machine learning in agriculture allows for more accurate disease diagnosis and crop disease prediction. This paper briefly introduces what machine learning can do in the agriculture sector.

scholarly journals Artificial Intelligence and Behavioral Science Through the Looking Glass: Challenges for Real-World Application

2020 ◽  
Vol 54 (12) ◽  
pp. 942-947
Author(s):  
Pol Mac Aonghusa ◽  
Susan Michie
Keyword(s):  
Climate Change ◽  
Artificial Intelligence ◽  
Machine Learning ◽  
Behavior Change ◽  
Behavioral Science ◽  
Lessons Learned ◽  
Learning Approaches ◽  
Intervention Evaluation ◽  
Research Activities ◽  
Behavior Change Interventions

Abstract Background Artificial Intelligence (AI) is transforming the process of scientific research. AI, coupled with availability of large datasets and increasing computational power, is accelerating progress in areas such as genetics, climate change and astronomy [NeurIPS 2019 Workshop Tackling Climate Change with Machine Learning, Vancouver, Canada; Hausen R, Robertson BE. Morpheus: A deep learning framework for the pixel-level analysis of astronomical image data. Astrophys J Suppl Ser. 2020;248:20; Dias R, Torkamani A. AI in clinical and genomic diagnostics. Genome Med. 2019;11:70.]. The application of AI in behavioral science is still in its infancy and realizing the promise of AI requires adapting current practices. Purposes By using AI to synthesize and interpret behavior change intervention evaluation report findings at a scale beyond human capability, the HBCP seeks to improve the efficiency and effectiveness of research activities. We explore challenges facing AI adoption in behavioral science through the lens of lessons learned during the Human Behaviour-Change Project (HBCP). Methods The project used an iterative cycle of development and testing of AI algorithms. Using a corpus of published research reports of randomized controlled trials of behavioral interventions, behavioral science experts annotated occurrences of interventions and outcomes. AI algorithms were trained to recognize natural language patterns associated with interventions and outcomes from the expert human annotations. Once trained, the AI algorithms were used to predict outcomes for interventions that were checked by behavioral scientists. Results Intervention reports contain many items of information needing to be extracted and these are expressed in hugely variable and idiosyncratic language used in research reports to convey information makes developing algorithms to extract all the information with near perfect accuracy impractical. However, statistical matching algorithms combined with advanced machine learning approaches created reasonably accurate outcome predictions from incomplete data. Conclusions AI holds promise for achieving the goal of predicting outcomes of behavior change interventions, based on information that is automatically extracted from intervention evaluation reports. This information can be used to train knowledge systems using machine learning and reasoning algorithms.

Alternative scenarios for the future of the Canadian boreal zone1

2019 ◽  
Vol 27 (2) ◽  
pp. 185-199 ◽  
Author(s):  
James W.N. Steenberg ◽  
Peter N. Duinker ◽  
Irena F. Creed ◽  
Jacqueline N. Serran ◽  
Camille Ouellet Dallaire
Keyword(s):  
Climate Change ◽  
Ecosystem Services ◽  
Adaptive Capacity ◽  
Fossil Fuels ◽  
Global Climate ◽  
Policy Implications ◽  
Low Carbon ◽  
Boreal Zone ◽  
Low Carbon Economy ◽  
Carbon Economy

In response to global climate change, Canada is transitioning towards a low-carbon economy and the need for policy approaches that are effective, equitable, coordinated, and both administratively and politically feasible is high. One point is clear; the transition is intimately tied to the vast supply of ecosystem services in the boreal zone of Canada. This paper describes four contrasting futures for the boreal zone using scenario analysis, which is a transdisciplinary, participatory approach that considers alternative futures and policy implications under conditions of high uncertainty and complexity. The two critical forces shaping the four scenarios are the global economy’s energy and society’s capacity to adapt. The six drivers of change are atmospheric change, the demand for provisioning ecosystem services, the demand for nonprovisioning ecosystem services, demographics, and social values, governance and geopolitics, and industrial innovation and infrastructure. The four scenarios include: (i) the Green Path, where a low-carbon economy is coupled with high adaptive capacity; (ii) the Uphill Climb, where a low-carbon economy is instead coupled with low adaptive capacity; (iii) the Carpool Lane, where society has a strong capacity to adapt but a reliance on fossil fuels; and (iv) the Slippery Slope, where there is both a high-carbon economy and a society with low adaptive capacity. The scenarios illustrate the importance of transitioning to a low-carbon economy and the role of society’s adaptive capacity in doing so. However, they also emphasize themes like social inequality and adverse environmental outcomes arising from the push towards climate change mitigation.

scholarly journals IMPLEMENTING THE SUSTAINABLE DEVELOPMENT GOALS IN UKRAINE: FINANCING FRAMEWORK

2021 ◽  
Vol 5 (40) ◽  
pp. 399-409
Author(s):  
I. Alieksieiev ◽  
A. Mazur ◽  
О. Storozhenko
Keyword(s):  
Climate Change ◽  
Sustainable Development ◽  
Kyoto Protocol ◽  
Carbon Dioxide Emissions ◽  
Renewable Energy Sources ◽  
Jel Classification ◽  
Low Carbon ◽  
Low Carbon Economy ◽  
Development Framework ◽  
Development Processes

Abstract. The article examines the features of sustainable development processes in Ukraine. In particular, the works of scientists on the issues of sustainable transformations of the economy, the problems of establishing a mechanism for the transition to the use of renewable energy sources and reducing carbon dioxide emissions are analyzed. The basic principles of legislative regulation of the processes of sustainable transformation in the context of Ukraine’s integration into the international model of sustainable development according to the UN Framework Convention on Climate Change are studied. The research objective is to study the mechanism of implementation of sustainable transformations in the economy of Ukraine, identification of the main problems of low-carbon strategy establishment in the context of harmonization of international and state legislation and identification of effective mechanisms for financing sustainable development processes. During the research, methods were used, such as: the dialectical method and methods of analysis and synthesis — to carry out a comparative analysis of legislation that regulates the processes of sustainable development, ways to implement a low-carbon strategy, study trends in carbon emissions in Ukraine; statistical method — to analyse the targets for changing the greenhouse gas emissions of Ukraine in 2020—2030 and the proposed target for 2050; structural and logical analysis — to study effective mechanisms of financing the processes of sustainable development in Ukraine, identify the ways of sustainable development projects funding. In general, the article reveals a number of problems that Ukraine faces as a signatory to the Kyoto Protocol. The main tools of the country’s transition to a low-carbon strategy have been identified. The economic mechanisms to ensure the fulfillment of the country’s obligations under the Kyoto Protocol have been studied. Possible ways of financing the processes of sustainable transformation are considered, among which, in particular, we can highlight the scheme of «green» investments. Keywords: sustainable economic development, Framework Convention on Climate Change, Kyoto Protocol, low carbon economy, mechanism for financing sustainable development. JEL Classification Q01, Q4, Q5 Formulas: 0; fig.: 1; tabl.: 0; bibl.: 36.

Building a low-carbon economy: The inaugural report of the UK Committee on Climate Change

2009 ◽  
Vol 8 (3) ◽  
pp. 201-208 ◽  
Author(s):  
Samuel Fankhauser ◽  
David Kennedy ◽  
Jim Skea
Keyword(s):  
Climate Change ◽  
Low Carbon ◽  
Low Carbon Economy ◽  
The Uk ◽  
Carbon Economy

China’s energy policies and strategies for climate change and energy security

2020 ◽  
Vol 13 (2) ◽  
pp. 141-156 ◽  
Author(s):  
Haifeng Deng ◽  
Paolo Davide Farah
Keyword(s):  
Climate Change ◽  
Energy Security ◽  
Three Dimensions ◽  
Chinese Government ◽  
Low Carbon ◽  
Low Carbon Economy ◽  
Energy Economy ◽  
International Data ◽  
National Energy Security ◽  
Definition Of

Abstract National energy security, parallel with the ultimate goal of emissions reductions, is of utmost priority for the Chinese government. In order to comply with the requirements set by the Kyoto Protocol, the Chinese government announced, on 25 November 2009, that 2020’s CO2 emissions would be reduced by 40–45 per cent in accordance with the data collected from 2005. Said goal was met three years ahead of schedule. Even in light of such an accomplishment, however, commentators suggest that the overall nationally determined contributions (NDCs) made by the Parties belonging to the Paris agreement are not enough to reduce global warming by even 2°C. This article focuses on the concept of energy security in assessing whether, and how, the priorities related to climate change are gradually changing. After analysing climate change’s impact on China, conducted via an analysis of the study’s available literature and through the support of international data, this article mainly focuses on the concept of energy security, itself. Under the second section, based on the examination of China’s efforts to transition towards a low-carbon economy, the authors provide a holistic definition of energy security through the lens of three dimensions: energy supply security, energy economy and energy ecological security. The third section, in turn, addresses the relationship between energy security and climate change. The results presented in the conclusion insist that, in order to strengthen environmental protection in China, it is crucial to reform the highly inefficient and strictly regulated national energy market. In doing so, China’s transition to a low-carbon society and economy could prove less painful, as China’s available resources offer the potential for a strengthened ecological dimension and sustained socio-economic development.

Study on Low-Carbon Economy Model and Method of Chinese Tourism Industry

2011 ◽  
Vol 2 (2) ◽  
pp. 69-102 ◽  
Author(s):  
Zhang Mu ◽  
Luo Jing ◽  
Zhang Xiaohong ◽  
Tang Lei ◽  
Feng Xiao-na ◽  
...  
Keyword(s):  
Climate Change ◽  
Global Warming ◽  
Global Climate Change ◽  
Global Climate ◽  
Tourism Industry ◽  
Low Carbon ◽  
Economy Model ◽  
Low Carbon Economy ◽  
Framework System ◽  
Carbon Economy

Recent years saw the global wave of new low-carbon economy which is a strategic measure to cope with global warming, and it has gained concerns from many governments. As the representatives of developing countries, China is responsible for “common but distinguishing duty for global climate change.” Many policies have been made to develop low-carbon economy with the hope to advocate and innovate low-carbon economy in some industries and cities during these years. Therefore, it is a theoretical and innovative project to find a low-carbon economical model for various industries and carry out the experiments of low-carbon economy in some cities. Hence, guided by low-carbon economy theory, choosing booming Chinese tourism industry as the object, this paper constructs an operation framework system of low-carbon tourism development from the advantage of low-carbon tourism to the proposal of low-carbon tourism definition so as to conclude an execution scheme of “six elements” of low-carbon tourism with selecting OCT East (Chinese national ecotourism demonstration district) and Mt. Danxia (World Geo-park) as demonstration districts to discuss about models and methods of low-carbon economy in tourism.

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