Application Of Low-carbon Technology Research Articles

Research Progress and Hotspot Analysis of Low-Carbon Landscapes Based on CiteSpace Analysis

Global climate change caused by carbon dioxide emissions has become a hot topic globally. It is of great significance to study how low-carbon landscapes can reduce carbon emissions and improve the ecological environment. In this study, CiteSpace software was used to conduct a bibliometric analysis of the research field. The analysis data were based on 2910 studies published in the research field from 2002 to 2023. By analyzing the number of publications in the research field, cooperation networks, keywords, etc., the research status, processes, and hotspots of low-carbon landscapes were systematically reviewed. The results show the following: (1) Between 2002 and 2023, low-carbon landscape research developed rapidly, gradually becoming a multidisciplinary field. A large number of studies were conducted by relevant institutions and scholars from 106 countries. (2) The research focuses on carbon emission reduction, renewable energy, life cycle assessment, etc. The research mainly goes through the following stages: theoretical research on low-carbon technology, the application of low-carbon technology, and the development of the low-carbon economy. (3) Research frontiers focus on low-carbon landscape emission-reduction technologies, low-carbon landscape research methods, and the development and application of low-carbon materials. This study deeply analyzes the research process of low-carbon landscapes and puts forward a research direction for low-carbon landscapes in future urban development, such as economic benefit assessments, ecosystem restoration and protection, social participation, and policy support, in order to provide a reference for low-carbon landscape research.

Energy-water nexus in low-carbon electric power systems: A simulation-based inexact optimization model

Energy and water resources are closely linked in electric power systems, and the application of low-carbon technologies further affects electricity generation and water consumption in those systems. The holistic optimization of electric power systems, including generation and decarbonization processes, is necessary. Few studies have considered the uncertainty associated with the application of low-carbon technologies in electric power systems optimization from an energy-water nexus perspective. To fill such a gap, this study developed a simulation-based low-carbon energy structure optimization model to address the uncertainty in power systems with low-carbon technologies and generate electricity generation plans. Specifically, LMDI, STIRPAT and grey model were integrated to simulate the carbon emissions from the electric power systems under different socio-economic development levels. Furthermore, a copula-based chance-constrained interval mixed-integer programming model was proposed to quantify the energy-water nexus as the joint violation risk and generate risk-based low-carbon generation schemes. The model was applied to support the management of electric power systems in the Pearl River Delta of China. Results indicate that, the optimized plans could mitigate CO2 emission by up to 37.93% over 15 years. Under all scenarios, more low-carbon power conversion facilities would be established. The application of carbon capture and storage would increase energy and water consumption by up to [0.24, 7.35] × 106 tce and [0.16, 1.12] × 108 m3, respectively. The optimization of the energy structure based on energy-water joint violation risk could reduce the water utilization rate and the carbon emission rate by up to 0.38 m3/104 kWh and 0.04 ton-CO2/104 kWh, respectively.

Research on Green and Low-Carbon Development Path of China’s Automotive Industry

China’s automotive industry has been dedicated to a series of carbon-reduction efforts and has strived for comprehensive green and low-carbon transformation in order to achieve carbon peaking and carbon neutrality goals. On the basis of automobiles’ whole life-cycle (WLC) carbon emission accounting, this paper calculates life-cycle carbon emissions per vehicle, proposes green and low-carbon development path for China’s automotive industry, quantifies and analyzes implicated carbon-reduction potential, and puts forth suggestions for high-quality green and low-carbon development of China’s automotive industry. The first is to establish a sound standard and data management system; the second is to promote research, development and application of low-carbon materials and low-carbon technologies; the third is to accelerate the pace of fostering a new consumption model in the automotive industry. The research results can further support national policy-making regarding carbon emissions, promote corporations’ research, development and application of low-carbon technologies, encourage green and low-carbon consumption, and lead the automotive industry to achieve WLC neutrality.

Research on the Influencing Factors and Transformation Path of Logistics Enterprise Low-Carbon Performance

Purpose - This study expounds that logistics enterprises should make use of an information-sharing mechanism, benefit distribution mechanism, and government guarantee mechanism to optimize and balance resource allocation with cooperative participants.
 Design/Methodology/Approach - This study developed a theoretical research model with interface management analysis, interface resource allocation, and interface management measures as independent variables; an interface connection mechanism and collaborative innovation capability as intermediary variables; and the low-carbon performance of enterprises as a dependent variable based on the structural equation model (SEM) and the empirical test, by selecting a certain number of logistics enterprises nationwide as research objects.
 Findings - This study discloses that elements such as interface management analysis, interface resource allocation, interface management measures, interface connection mechanism, and collaborative innovation capability contribute proportionally to the low-carbon performance of logistics enterprises. Meanwhile, the interface connection mechanism plays an intermediary role in the impact of interface management analysis and interface management measures on the low-carbon performance of enterprises.
 Research Implications - This study proposes that the collaborative innovation capability of enterprises should be improved through various interface management measures, and that R&D and the application of low-carbon technology and equipment must be accelerated, thus promoting the improvement of the low-carbon performance of enterprises, and enabling a low-carbon transformation in logistics enterprises, and even the whole logistics industry, so as to help achieve the carbon peak and move toward carbon neutrality as soon as possible.

Optimizing the sustainable energy transition: A case study on Trinidad and Tobago

Trinidad and Tobago is a small island developing state (SIDS) with one of the largest emitters of CO2 per capita globally - linked to a reliance on oil and gas. With the country’s commitment to sustainable development goals and climate change agreements, rapid redesign of the national power sector is critical to promoting a sustainable energy transition. Our study examines the minimisation of electricity costs (LCOE) and greenhouse gas emissions (GHGLC), using a mixed-integer linear programming model (MILP) across 5 scenarios describing the national power generation system. Our results show an LCOE of $USD 61.72 per MWh and GHGLC of 756 kgCO2eq per MWh, attributed to current take-or-pay Power Purchasing Agreements (PPA) aligned to Scenario 1 A. Coupled improvements in power generation technology and resource efficiency (Scenario 2), results in LCOE and GHGLC reductions of up to 40% ($USD 36.94 per MWh) and 24% (572 kgCO2eq per MWh), respectively. Furthermore, the incorporation of low carbon H2, MeOH and NH3 into the process system was deemed infeasible at current prices, despite potential avoided emissions when compared to local business-as-usual operations. Lastly, looking ahead to 2030 shows a general increase in LCOE of $USD 8.5 – 14 per MWh and GHGLC of 8 – 27 kgCO2eq, attributed to higher grid demand and natural gas prices. Thus, our results support the need for new policies linked to active decarbonisation within the national energy sector and removal of current legislation that discourages the application of low carbon technologies linked to sustainable development. Ultimately, through a multi-objective optimisation framework, our results highlight the value of systems-based planning and implementation in the sustainable energy transition across the Caribbean region, in accordance with sustainable development goals (SDGs).

Does “low-carbon city” accelerate urban innovation? Evidence from China

• Porter's hypothesis is tested at the city level. • Deriving an analysis model for low-carbon governance on the city's innovation. • Low-carbon city pilot policy induces technological innovation. • Mechanisms: "increasing investment" and "promoting industrial upgradation". • Low-carbon city pilot policy impacts utility model patents and green patents. The “low-carbon city” pilot policy is one of China's essential measures to promote low-carbon development. One of the critical tasks of the policy is to accelerate the innovation and application of low-carbon technologies in pilot cities. Therefore, a quantitative evaluation of the implementation effect of low-carbon city pilot policy is conducive to better promoting low-carbon work in pilot areas. Using a double difference model and the urban innovation index of 268 prefecture-level cities in China from 2001-2018, this study empirically tests the impact of the “low-carbon city” pilot policy on urban innovation and explores its mechanism of action. The results show that the “low-carbon city” pilot policy can induce the overall technological innovation capability of the city to a certain extent and exert a significant impact on utility model patents and green patents. This pilot policy can promote urban innovation by increasing government investment in science and technology and promoting industrial structure upgradation. The heterogeneity analysis shows the significant role of pilot policy in promoting innovation in small, medium and non-provincial capital cities, and cities in high-carbon provinces. This study proposes deepening reforms, optimizing the green financial system, and adapting to local conditions to promote the implementation of the policy.

Low-carbon technology development under multiple adoption risks

Reducing greenhouse gas emissions is now an important global issue. The promotion and application of low-carbon technologies is one important method of achieving greenhouse gas reduction. The core problem is identifying the types of technology to introduce, when and to what degree, while satisfying the related sustainable goals. This study proposes a frame of development path design for low-carbon technology. Contrary to existing methods, our innovation lies in the introduction of multiple uncertainties in the technology adoption process. We consider four main types of technical risks, and provide corresponding quantitative descriptions. Our framework describes a class of technology development path problems as dynamic programming problems with different random constraints. Using existing numerical simulation methods, we obtain solutions of the original problem at a certain level of confidence, and discuss important issues, such as the learned robust features, and the relevant sensitivity of the model in a given solution space. Related results confirm the effectiveness of our model. Notably, our analysis framework can be generalized to solve similar problems, especially, in the characterization of technical risks.

The impact of technological innovation on carbon emissions

Environmental problems caused by carbon emissions have received widespread attention, and technological innovation has an important impact on carbon emissions. This paper uses data from 30 provinces (excluding Tibet) in China from 2009 to 2018 as a sample, and empirically analyzes the relationship between technological innovation and carbon emissions by constructing panel data and fixed effects models. The results show that technological innovation can curb carbon emissions. Therefore, China should increase research and application of low-carbon technologies to promote sustainable economic development.

Low Carbon Innovation: The Construction of Green Patent Pools in Guangdong-Hong Kong-Macao Greater Bay Area

In view of the features of technology transfer and patent licensing of low carbon technologies, it is necessary to explore a new green patent system, focusing on solving the problems of excessive licensing fees and complicated implementation conditions. Based on the analysis of the industrial foundation and technical reserves of low carbon industry in Guangdong-Hong Kong-Macao Greater Bay Area, this paper proposes a concept of constructing green patent pools in the region. First, to construct enterprise-shared green patent pools, break through the traditional competition pattern by sharing innovative technologies, and promote the overall development of low carbon industry. Second, to construct public green patent pools, which are funded by government totally or partially, promote the innovation and application of low carbon technologies, and promote to take the road of low-carbon development in the Greater Bay Area.

Application of Low Carbon Technology in Metallurgy

Abstract The paper deals with possibilities of low carbon technology application in metallurgy. It sums up the world wide experience with them and presents possibilities of their application in metallurgical production in view of carbon dioxide emission responsible for greenhouse effect and global warming of the Earth. It summarizes research projects in this field and presents the results and conclusion resulting from them. It is aimed at the possibilities of low carbon application in sinter and subsequently in blast furnace process. It presents research on reducibility of metallurgical ekosinter produced with share of biomass in comparison with sample of industrial one. It describes the testing methodology carried out in accordance with ISO 4695:2007. The samples were tested in reduction atmosphere created by 40% CO2 and 60% N2 simulating conditions in blast furnace aggregate at temperature 950°C. The obtained results confirmed better reducibility rate of ekosinter which reached the reduction index (dR/dt) 1.15, in comparison with industrial sinter of reduction index 0.83.

Evaluation method for Green jack-up drilling platform design scheme based on improved grey correlation analysis

This paper presents an evaluation method for green jack-up drilling platform(GJDP) design scheme based on the improved grey correlation analysis(IGCA). Under the situation of the low-carbon economy it is important and complicated for jack-up drilling platform design to select the optimum design scheme from the feasible schemes. In this paper, the evaluation index system for GJDP has been proposed which includes 3 factors: advanced technology, economic feasibility and environmental coordination, as well as 13 sub-indices. At the same time, a multi-objective combinatorial optimization model is established by using IGCA, in which the analysis hierarchy process (AHP) is used to obtain the weight values of the indices. The IGCA method is fully considered the connection of the indices reflecting the objective true nature of the things, and the subjective interest of the platform owner and the needs of the designer. This research can not only conduct to green design of jack-up drilling platform, but also can contribute to the development, popularization and application of low-carbon technology on offshore platform. Finally, the case study results demonstrate the feasibility and efficiency of the proposed evaluation method.

Analysing socioeconomic diversity and scaling effects on residential electricity load profiles in the context of low carbon technology uptake

Adequately accounting for interactions between Low Carbon Technologies (LCTs) at the building level and the overarching energy system means capturing the granularity associated with decentralised heat and power supply in residential buildings. The approach presented here adds novelty in terms of a realistic socioeconomic differentiation by employing dwelling/household archetypes (DHAs) and neighbourhood clusters at the Output Area (OA) level. These archetypes are combined with a mixed integer linear program (MILP) to generate optimum (minimum cost) technology configurations and operation schedules. Even in the baseline case, without any LCT penetration, a substantial deviation from the standard load profile (SLP) is encountered, suggesting that for some neighbourhoods this profile is not appropriate. With the application of LCTs, including heat pumps, micro-CHP and photovoltaic (PV), this effect is much stronger, including more negative residual load, more variability, and higher ramps with increased LCT penetration, and crucially different between neighbourhood clusters. The main policy implication of the study is the importance of understanding electrical load profiles at the neighbourhood level, because of the consequences they have for investment in the overarching energy system, including transmission and distribution infrastructure, and centralised generation plant. Further work should focus on attaining a superior socioeconomic differentiation between households.