Energy and climate change最新文献

The present study focuses on two main objectives: firstly, to clarify the mechanisms by which attitudes impact behavioral changes related to household energy consumption, and secondly, to offer valuable insights to enhance the understanding of residential energy usage through a novel technique called Support Vector Regression (SVR). This method employs several feature space transformations to convert nNar relationships into linear ones. The results highlight the crucial role of psychological factors in determining energy consumption behaviors, demonstrating that cognitive factors significantly influence attitudes and behavioral patterns. The findings show that psychological variables have a major role in determining how people consume energy, with cognitive variables having a particularly large impact on attitudes and behavior patterns. Our findings demonstrate the superior performance of Support Vector Regression (SVR) with radial basis function kernels over traditional predictive models, with a prediction accuracy of 93.7 % for changes in behavior patterns (CHP) and 94.4 % for changes in attitudes (CHA). These results highlight the value of applying cutting-edge machine-learning approaches to create precise models for comprehending and directing energy-saving actions. The policy implications suggest that reducing cognitive barriers can significantly encourage energy-saving behaviors and contribute to a comprehensive approach for energy-efficiency initiatives

The Carbon Management Study Group of the 37^th Energy Modeling Forum (EMF 37) designed seven scenarios to explore the role of three potentially key technology suites – point source carbon dioxide capture and storage (PSCCS), direct air capture of carbon dioxide (DACCS), and hydrogen systems (H₂) – in shaping the broader technology pathways to reaching net-zero carbon dioxide (CO₂) emissions in United States by 2050. Each scenario was run by up to 13 models participating in the EMF 37 study. Results show that carbon dioxide removal technologies were consistently a major part of successful pathways to net-zero U.S. CO₂ emissions in 2050. Achieving this net-zero CO₂ goal without any form of carbon dioxide capture and storage was found to be impossible for most models; some models also found it impossible to reach net-zero without DACCS. The marginal cost of achieving net-zero CO₂ emissions in 2050 was between two and 10 times higher without PSCCS and/or DACCS available. The carbon price at which DACCS was deployed as a backstop technology depended upon the assumed cost at which DACCS was available at scale. Carbon prices were between $250 and $500 per ton CO₂ when DACCS deployed as a backstop. The average CO₂ capture rate across all models in 2050 in the central net-zero scenario was 1.3 GtCO₂/year, which implies a substantial upscaling of capacity to move and store CO₂. Hydrogen sensitivity scenarios showed that H₂ typically constituted a relatively small share of the overall U.S. energy system; however, H₂ deployed in applications that are considered hard to decarbonize, facilitating transition towards net-zero emissions.

The use of high-carbon energy (HCE) causes adverse effects on the environment and sustainable food production. Yet, low-carbon energy (LCE) use among women farmers is missing in the literature. Therefore, this study investigates the operationalization of LCE use for sustainable agricultural production among smallholder women farmers in Nigeria. Data collected from randomly selected 350 women farmers were analysed using descriptive statistics, t-tests, and an economics cost model. The results revealed that the women farmers were aware of LCE and used LCE for drying farm output, lighting and heating pens. The average cost of ownership and installation of LCE (solar power systems) by women farmers was N500,000 (USD 510.20) while the cost of ownership/installation of generators was N210,000 (USD 214.29). In the first period, the cost of installing the solar system was higher than that of installing fossil generators by the HCE users. The economic cost model showed that the LCE remained at N500,000 (USD 510.20) while HCE was put at N1,250,000 (USD 1,275.51) in the fifth year. The output of the LCE user (7,108.47 kg) was significantly higher than the users of HCE (4,446.84 kg). In the same vein, users of LCE had a higher income of N1,246,536 (USD 1,271.98) than the users of HCE with an average income of N941,232 (USD 960.44). Thus, the use of LCE is not only for a sustainable environment but also for sustainable production and income. Therefore, this study calls for the promotion of the use of LCE to have a sustainable and productive farming enterprise.

Global concerns about climate change and its effects and the quest for sustainable development have necessitated policy actions, including energy interventions. Besides the intended goal of energy transition, these interventions often have unintended impacts, which ought to be measured when assessing the overall effects of these energy interventions. This study investigated the impact of a clean cooking fuel transition program in Ghana on financial inclusion. It used a cross-sectional survey of over 900 households in two districts in Ghana where a clean energy transition intervention had been implemented. The study employed linear probability and matching techniques and found that clean energy interventions can promote financial inclusion among beneficiary households. The probability of being significantly associated with financial inclusion is at least 6.6% higher for treated households than it is for households that did not benefit from the program. The findings are robust across different outcome variables and the potential transmission mechanisms are discussed. The study provides evidence for policymakers to count the effect of financial inclusion in measuring the program's overall impact. Furthermore, the findings underscore the need for policies that provide the needed infrastructure and financial ‘ecosystem’ to support financial inclusion, particularly in rural areas where the energy interventions are implemented.

Ten Latin American and Caribbean countries have pledged to achieve carbon neutrality since 2019. We assess whether electricity planning in the region has evolved towards reaching this goal. We compare power generation capacity in 2023 with announced plans in 2019. We then estimate committed emissions from existing and planned power plants – emissions that would result from the normal operation of these plants during their typical lifetime – and compare them to emissions from power generation in published IPCC scenarios. We find that fossil fuel planned capacity has decreased by 47 % since 2019, compared to an increase of 24 % of planned renewable power plants. Countries with net-zero pledges tended to cancel more fossil fuel power capacity. But existing plants in the region will emit 6.7 GtCO₂ during their lifespan, and if all planned fossil fuel plants are built, they will add 4.9 GtCO₂. The total 11.6 GtCO₂ emissions exceeds median carbon budgets for 1.5 and 2 °C-consistent IPCC pathways (2.3 and 4.3 GtCO₂). Natural gas power plants are the largest contributor to existing (62 %) and planned (75 %) emissions. We evaluate emissions reduction strategies to achieve carbon budgets. Assuming no new coal plants come into operation, announced gas and oil projects are canceled at the same rate as in the past four years, all fossil fueled plant lifetimes are reduced by 10 years, and all new natural gas displaces existing coal, committed emissions fall by 67 %, meeting the median 2 °C budget, but still falling short of the median 1.5 °C budget. While progress is being made, energy planning in the region is not yet consistent with global climate goals as reflected by IPCC scenarios.