Consequences of equivalency metric design for energy transitions and climate change

Edwards, M. L.; Trancik, Jessika E.

doi:10.1007/s10584-022-03442-8

Cited by 6 publications

(2 citation statements)

References 97 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Social criteria encompass metrics such as the number of jobs (Atabaki and Aryanpur, 2018) to gauge factors such as employment opportunities, energy security, societal well-being, and policy implications. Environmental criteria are intricately linked to aspects such as CO 2 emissions, temperature control targets, and biodiversity preservation (Edwards and Trancik, 2022). Addressing the trade-offs that arise between numerous criteria becomes essential during the modeling process for reaching decisions within RESs.…”

Section: Optimization Modeling Criteria For Resmentioning

confidence: 99%

A review of optimization modeling and solution methods in renewable energy systems

Yu,

You,

Zhou

2023

Front. Eng. Manag.

View full text Add to dashboard Cite

The advancement of renewable energy (RE) represents a pivotal strategy in mitigating climate change and advancing energy transition efforts. A current of research pertains to strategies for fostering RE growth. Among the frequently proposed approaches, employing optimization models to facilitate decision-making stands out prominently. Drawing from an extensive dataset comprising 32806 literature entries encompassing the optimization of renewable energy systems (RES) from 1990 to 2023 within the Web of Science database, this study reviews the decision-making optimization problems, models, and solution methods thereof throughout the renewable energy development and utilization chain (REDUC) process. This review also endeavors to structure and assess the contextual landscape of RES optimization modeling research. As evidenced by the literature review, optimization modeling effectively resolves decision-making predicaments spanning RE investment, construction, operation and maintenance, and scheduling. Predominantly, a hybrid model that combines prediction, optimization, simulation, and assessment methodologies emerges as the favored approach for optimizing RES-related decisions. The primary framework prevalent in extant research solutions entails the dissection and linearization of established models, in combination with hybrid analytical strategies and artificial intelligence algorithms. Noteworthy advancements within modeling encompass domains such as uncertainty, multienergy carrier considerations, and the refinement of spatiotemporal resolution. In the realm of algorithmic solutions for RES optimization models, a pronounced focus is anticipated on the convergence of analytical techniques with artificial intelligence-driven optimization. Furthermore, this study serves to facilitate a comprehensive understanding of research trajectories and existing gaps, expediting the identification of pertinent optimization models conducive to enhancing the efficiency of REDUC development endeavors.

show abstract

Section: Optimization Modeling Criteria For Resmentioning

confidence: 99%

A review of optimization modeling and solution methods in renewable energy systems

Yu,

You,

Zhou

2023

Front. Eng. Manag.

View full text Add to dashboard Cite

show abstract

“…During the past three decades, multiple sources of evidence show that the overuse of fossil fuels is a major factor in unabated global warming [1][2][3]. Wind energy has attracted extensive attention as one of the most promising clean renewable energy alternatives to fossil energy.…”

Section: Introductionmentioning

confidence: 99%

In Situ Structural Health Monitoring of Full-Scale Wind Turbine Blades in Operation Based on Stereo Digital Image Correlation

Feng,

Yang,

et al. 2023

Sustainability

View full text Add to dashboard Cite

Structural health monitoring (SHM) and the operational condition assessment of blades are greatly important for the operation of wind turbines that are at a high risk of disease in service for more than 5 years. Since certain types of blade faults only occur during wind turbine operation, it is more significant to perform in situ SHM of rotating full-scale blades than existing SHM of small-scale blades or static testing of full-scale blades. Considering that these blades are usually not prefabricated with relevant sensors, this study performed SHM and condition assessment of full-scale blades in operation with stereo digital image correlation. A self-calibration method adapted to the outdoors with a large field of view was introduced based on the speckled patterns. To accurately obtain the in- and off-plane deformation, a new reference frame is constructed at the center of the rotation of the blades. The 3D displacements of the points of interest (POIs) on the blade of a 2 MW wind turbine were characterized. Furthermore, the frequency spectrum of the measured 3D displacements of the blades was compared with the blades with the faults. The results showed that the introduced technique is a convenient and nondestructive technique that enables SHM of full-scale wind turbine blades in operation.

show abstract

Evaluating metrics for quantifying the climate-change effects of land-based carbon fluxes

Brandão,

Kirschbaum,

Cowie

2023

Int J Life Cycle Assess

View full text Add to dashboard Cite

Purpose Growing concern over climate change has increased interest in making use of the biosphere to reduce net greenhouse gas emissions by replacing fossil energy with bioenergy or increasing land-based carbon storage. An assessment of the effectiveness of these options requires detailed quantification of their climate-change mitigation potential, which must employ appropriate metrics to translate biophysical changes into climate-change impacts. However, the various currently available metrics use different proxy measures (e.g. radiative forcing, temperature changes, or others) as surrogates for climate-change impacts. Use of these different proxies can lead to contradictory conclusions on the most suitable policy options. We aim to provide criteria for the objective evaluation of metrics to build understanding of the significance of choice of metric and as a step towards building consensus on the most appropriate metric to use in different contexts. Methods We compared fifteen available metrics that represent conceptual differences in the treatment of biospheric carbon fluxes and the proxies used to approximate climate-change impacts. We proposed a set of evaluation criteria related to the metrics’ relevance, comprehensiveness, ease of application and acceptance by the research and policy community. We then compared the different metrics against these criteria. Results and conclusions The different metrics obtained scores from 10 to 21 (out of 30). The Climate-Change Impact Potential scored highest against the criteria, largely because it relates climate-change impacts to three different aspects of temperature changes; thus, it most comprehensively covers the different aspects of climate-change impacts. Therefore, according to our evaluation criteria, it would be the most suitable metric for assessing the effect of different policy options on marginal climate-change impacts. We demonstrated that the proposed evaluation criteria successfully differentiated between the fifteen metrics and could be used as a basis for selecting the most appropriate metric for specific applications.

show abstract

Consequences of equivalency metric design for energy transitions and climate change

Cited by 6 publications

References 97 publications

A review of optimization modeling and solution methods in renewable energy systems

A review of optimization modeling and solution methods in renewable energy systems

In Situ Structural Health Monitoring of Full-Scale Wind Turbine Blades in Operation Based on Stereo Digital Image Correlation

Evaluating metrics for quantifying the climate-change effects of land-based carbon fluxes

Contact Info

Product

Resources

About