Low-carbon city and its future research trends: A bibliometric analysis and systematic review

Sustainable Cities and Society, Год журнала: 2022, Номер 90, С. 104381 - 104381

Опубликована: Дек. 29, 2022

Язык: Английский

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The synergy effect through combination of the digital economy and transition to renewable energy on green economic growth: Empirical study of 18 Latin American and caribbean countries

Journal of Cleaner Production, Год журнала: 2023, Номер 418, С. 138146 - 138146

Опубликована: Июль 19, 2023

Tremendous effects on the global economy in terms of economic, social and environmental costs remind us catastrophic consequences climate change warming caused by CO2 emissions. Therefore, accelerating decarbonization energy system should be put place to curb large amount emission from hydrocarbon sources which current value chain production heavily relies.This study focuses analyzing renewable transition, digital economy, synergy between them green economic growth 18 Latin American countries. To capture multidimensionality these transitions, Renewable Energy Transition Index (RETI) Digital Economy (DEI) are developed using Principal Component Factor (PCF) technique. The Fixed Effect Panel Threshold Regression (FEPTR) substantiates that transition has a significant threshold effect sustainability depending level income carbon On other hand, Method Moments Quantile (MMQR) shows both have positive impact all quantile groups. For sustainability, only is found From synergistic perspectives, emissions reduction observed low middle groups, but promotion group.

Язык: Английский

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A Comprehensive Review of Artificial Intelligence (AI) Companies in the Power Sector

Energies, Год журнала: 2023, Номер 16(3), С. 1077 - 1077

Опубликована: Янв. 18, 2023

There is an ongoing, revolutionary transformation occurring across the globe. This altering established processes, disrupting traditional business models and changing how people live their lives. The power sector no exception going through a radical of its own. Renewable energy, distributed energy sources, electric vehicles, advanced metering communication infrastructure, management algorithms, efficiency programs new digital solutions drive change in sector. These changes are fundamentally supply chains, shifting geopolitical powers revising landscapes. Underlying infrastructural components expected to generate enormous amounts data support these applications. Facilitating flow information coming from system′s prerequisite for applying Artificial Intelligence (AI) New components, flows AI techniques will play key role demand forecasting, system optimisation, fault detection, predictive maintenance whole string other areas. In this context, digitalisation becoming one most important factors sector′s process. Digital possess significant potential resolving multiple issues chain. Considering growing importance AI, paper explores current status technology’s adoption rate review conducted by analysing academic literature but also several hundred companies around world that developing implementing on grid’s edge.

Язык: Английский

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The Economics of Technology Transfer in The Environmental Safety of Enterprises for the Energy Transition

Economics ecology socium, Год журнала: 2023, Номер 7(1), С. 84 - 96

Опубликована: Март 31, 2023

Introduction. European countries are at different stages of transition to a new energy system due levels dependence, geographical conditions, and priorities national administration. The use information technology innovative developments in the field allows for reducing production costs, improving resource efficiency, environmental impact, ensuring security. Modern is reaching qualitative level transfer government policy. Such an industry requires time, unfolding globalization processes, implementing sustainable development strategy solving greening problems. Aim tasks. aim study assess economic base creation functioning based on principles safety modern enterprises EU countries. Results. theoretical model considered, which explains essence factors implementation cross-section ranking given calculation final electricity consumption per dollar capita one percent renewable minus tax burden. Thus, some already have significant indicators that indicate effectiveness structure their enterprises. And such results do not directly depend share sources reduction coal. But more than 60% burden placed household consumers general signs transition. Enterprises mechanism effectively countries, where 60%. In terms, transitions carried out expense lion's by end – households. Conclusions. basis great importance efficiency achieving region as whole. research will be useful bodies engaged shaping policy, regulating sector, safety.

Язык: Английский

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Artificial intelligence as a facilitator of the energy transition

2022 45th Jubilee International Convention on Information, Communication and Electronic Technology (MIPRO), Год журнала: 2022, Номер unknown, С. 494 - 499

Опубликована: Май 23, 2022

There is a dramatic transformation occurring across the world. Efforts to decarbonize energy sector are leading an increasingly decentralized system. Power, heating, transport, building and industry sectors progressively more interconnected. In addition, new business models innovative technological solutions driving change in power industry. The system being unfolded requires much higher level of flexibility coordination. increased complexities can only be mitigated by actively managing supply chain. this context, artificial intelligence (AI) has potential play key role numerous areas such as demand forecasting, predictive maintenance, management customer support. Among digital technologies, AI one with highest adoption rate sector. Considering growing importance AI, paper analyses current status future prospects technology It also explores different issues barriers its wider adoption. review possible applications conducted analysing academic literature observing companies around world that developing implementing on grid's edge.

Язык: Английский

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Comparative Analysis of Support Vector Machine Regression and Gaussian Process Regression in Modeling Hydrogen Production from Waste Effluent

Sustainability, Год журнала: 2022, Номер 14(12), С. 7245 - 7245

Опубликована: Июнь 13, 2022

Organic-rich substrates from organic waste effluents are ideal sources for hydrogen production based on the circular economy concept. In this study, a data-driven approach was employed in modeling palm oil mill and activated sludge waste. Seven models built support vector machine (SVM) Gaussian process regression (GPR) were of sources. The SVM incorporated with linear kernel function (LSVM), quadratic (QSVM), cubic (CSVM), fine (GFSVM). While GPR rotational (RQGPR), squared exponential (SEGPR), (EGPR). model performance revealed that SVM-based did not show impressive effluent, as indicated by R2 −0.01, 0.150, 0.143 LSVM, QSVM, CSVM, respectively. Similarly, perform well sludge, evidenced values 0.040, 0.190, 0.340 On contrary, SEGPR, RQGPR, EGPR displayed outstanding prediction both effluent over 90% datasets explaining variation output. With > 0.9, predicted consistent minimized errors. level importance analysis all input parameters relevant hydrogen. However, influent chemical oxygen demand (COD) concentration medium temperature significantly influenced whereas pH sludge.

Язык: Английский

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Carbon-Neutral City Transformation with Digitization: Guidelines from International Standardization

Energies, Год журнала: 2023, Номер 16(15), С. 5814 - 5814

Опубликована: Авг. 4, 2023

Establishing carbon neutrality (or Net Zero) in cities appears to be an ambitious challenge, which drives urban transformation efforts around the world enhance people-centric living. Cities launch corresponding strategies focusing mainly on United Nations 2030 goals form their climate-neutral future. This paper provides practical guidance city digital achieve Zero. These guidelines illustrate actionable recommendations reduce footprint using technologies. Following a multi-method research approach, findings from bibliometric literature and standards’ gap analysis were combined with evidence circulated focus group experts conclude these guidelines, are foundation for further standardization. The outcomes provide concrete policymakers, planners, other stakeholders establish neutrality, via emphasizing need technologies efficiency several areas leveraging green Information Communication Technology (ICT) economic growth, while also transforming citizen behavior.

Язык: Английский

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[Retracted] Low Carbon Economy Assessment in China Using the Super‐SBM Model

Discrete Dynamics in Nature and Society, Год журнала: 2022, Номер 2022(1)

Опубликована: Янв. 1, 2022

This review proposes a performance evaluation system of low‐carbon economic development based on multiobjective analysis in environment. is modeling method combining super efficiency and relaxation‐based measurement model (super‐SBM model), which can effectively measure green innovation with unexpected outputs traditional without outputs. Using the Malmquist–Luenberger index to dynamically analyze innovation, obtained, including scheduling target considering wind power cost carbon trading. The output obviously lower than that output. phenomenon more pronounced some areas central western China. Technical improves level environmental protection economy China impact technological progress greater technical efficiency. In this review, SBM used study China's industry, correlation between prediction change analyzed. (ML) product not less 1. Due improvement scientific development, combination two will eventually lead products Combining empirical analysis, paper puts forward methods promote zone.

Язык: Английский

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Carbon Neutral City Transformation with Digitization: Guidelines from International Standardization

Опубликована: Июнь 30, 2023

Abstract: Establishing carbon neutrality (or Net Zero) in cities appears to be an ambitious challenge, which drives urban transformation efforts around the world enhance people-centric living. Cities launch corresponding strategies focusing mainly on United Nations 2030 goals form their climate-neutral future. This paper provides practical guidance city digital achieve net zero. These guidelines illustrate actionable recommendations reduce footprint using technologies. Following a multi-method research approach, findings from bibliometric literature and standards’ gap analysis were combined with evidence circulated focus group experts conclude these guidelines, are foundation for further standardization. The outcomes provide concrete policymakers, planners, other stakeholders establish neutrality, via emphasizing need technologies efficiency several areas leveraging green ICTs economic growth while also transforming citizen behavior.

Язык: Английский

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Low-Carbon Supply Chain Operation Decisions and Coordination Strategies Considering the Consumers’ Preferences

Sustainability, Год журнала: 2023, Номер 15(14), С. 11078 - 11078

Опубликована: Июль 15, 2023

Implementing the low-carbon transformation strategy has become an inevitable choice for manufacturing enterprises. However, suppliers often overlook impact of consumers’ preferences products (LCPs) on their own strategies. Based this idea, study uses game theory models to analyze how consumer affect suppliers’ decision-making and coordination strategies in supply chains (LCSCs). Results show that (1) manufacturers retailers are more likely produce promote LCPs as consumers sensitive carbon emission reduction (CER); (2) less but them promotional rates; (3) retail prices. This concludes play a crucial role determining decisions LCSCs.

Язык: Английский

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