Assessing energy storage technology options using a multi-criteria decision analysis-based framework

Murrant, Daniel; Radcliffe, Jonathan

doi:10.1016/j.apenergy.2018.09.170

Cited by 57 publications

(17 citation statements)

References 55 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Prioritizing the project options could be carried out using an approach based on Multi-Criteria Decision Analysis (MCDA) [50]. The MCDA allows the options to be scored according to a number of criteria where each criterion is given a different weighting to reflect its importance.…”

Section: Discussionmentioning

confidence: 99%

A Capabilities-Led Approach to Assessing Technological Solutions for a Rural Community

et al. 2021

Self Cite

View full text Add to dashboard Cite

To improve access to affordable, reliable and sustainable energy in rural areas of the global south, off-grid systems using renewable generation and energy storage are often proposed. However, solution design is often technology-driven, with insufficient consideration of social and cultural contexts. This leads to a risk of unintended consequences and inappropriate systems that do not meet local needs. To address this problem, this paper describes the application of a capabilities-led approach to understanding a community’s multi-dimensional energy poverty and assessing their needs as they see them, in order to better design suitable technological interventions. Data were collected in Tlamacazapa, Mexico, through site visits and focus groups with men and women. These revealed the ways in which constrained energy services undermined essential capabilities, including relating to health, safety, relationships and earning a living, and highlighted the specific ways in which improved energy services, such as lighting, cooking and mechanical power could improve capabilities in the specific context of Tlamacazapa. Based on these findings, we propose some potential technological interventions to address these needs. The case study offers an illustration of an assessment method that could be deployed in a variety of contexts to inform the design of appropriate technological interventions.

show abstract

Section: Discussionmentioning

confidence: 99%

A Capabilities-Led Approach to Assessing Technological Solutions for a Rural Community

et al. 2021

Self Cite

View full text Add to dashboard Cite

show abstract

“…The field of MCDA is widely applied in the field of energy planning. [29][30][31] Different methods are available for this purpose, which all have their individual limits and advantages and are more or less adequate for different decision problems. [32][33][34][35][36] The MCDA approach used here (see Figure 1) is based on four steps, which are not followed strictly sequential, but rather conducted in a parallel and iterative way [27] : 1) Involvement of stakeholders through interview and surveys for the problem definition, selection of criteria and weights attribution for considered criteria, 2) use of analytic hierarchy process (AHP) [37] for weighting in line of the survey including the measurement of consensus of conducted weights, 3) performance aggregation via the technique for order preference by similarity to ideal solution (TOPSIS) [38] using AHP weights to calculate rankings, 4) performance measurement of considered criteria and the different technologies within four different application fields using LCC and LCA.…”

Section: Mcda Methodsmentioning

confidence: 99%

Exploratory Multicriteria Decision Analysis of Utility‐Scale Battery Storage Technologies for Multiple Grid Services Based on Life‐Cycle Approaches

2019

View full text Add to dashboard Cite

Herein, a multicriteria decision‐making analysis (MCDA) of eight different utility‐scale battery storage technologies for four different application areas, involving 72 relevant stakeholders from industry and academia for criteria selection and weighting, is presented. The assessment is conducted for economic, environmental, technological, and social criteria using a combination of the analytic hierarchy process and technique for order preference by similarity to ideal solution. It includes a full life‐cycle costing and life‐cycle assessment using current data. Indicative rankings show that most lithium‐ion batteries can be recommended for all application areas. Lead‐acid batteries achieve rather low scores depending on the viewed application, but including a recycling scenario for this technology might lead to significant changes in final scores and rankings. This is also true for the redox flow battery. Furthermore, the weights provided by the stakeholders are very dispersing, leading to a low consensus about the relevance of the used criteria. In particular, social criteria are not well differentiated in the current state and do not add significant distinguishing features between different battery technologies.

show abstract

“…Various researches are aiming for a better sustainable performance regarding energy storage systems considering economic and technical factors [53]. Most studies address issues such as: developing assessment techniques to prioritize multiple-energy storage system (ESS) [54][55][56]; choose an appropriate turbine from multiple perspectives that best suits the wind power station [26,57,58]; decision criteria analysis to be used in the examination for the best photovoltaic cell [59]. Technologies are essential for a business' success.…”

Section: Technologies Performancementioning

confidence: 99%

Renewable Energy Problems: Exploring the Methods to Support the Decision-Making Process

et al. 2020

View full text Add to dashboard Cite

In the current scenario of increasing energy demand and encouraging sustainable development in countries, the energy sector’s planning has become more complex, involving multiple factors, such as technical, economic, environmental, social, and political. The decision process plays a vital role in structuring and evaluating complex decision situations related to the sector, considering various criteria and objectives, encouraging adopting policies to promote energy efficiency actions by increasing research on renewable energy sources and strategic energy decisions. The high number of multi-criteria decision support methods (MCDM) available and their efficiency in solving highly complex problems results in an impasse with their selection and application in specific decision situations. Thus, the scientific community requires methodological approaches that help the decision-maker select the method consistent with his problem. Accordingly, this paper conducts a Systematic Literature Review (SLR) of renewable energy problems associated with MCDM methods based on a final set of 163 articles. We identified five categories of problems solved by MCDM techniques: Source selection, location, sustainability, project performance, and technological performance. We separate the MCDM process into five evaluation steps (alternative selection, criteria selection, criteria weighting, evaluation of alternatives, and post-assessment analyzes), and we extract the methods used in each MCDM step from papers. This paper’s main contribution is identifying the most common MCDM methods in the renewable energy area and the energy problem they solve. Accordingly, this manuscript helps energy decision-makers, entrepreneurs, investors, and policy-makers to improve their ability to choose the proper MCDM methods to solve energy problems.

show abstract

Assessing energy storage technology options using a multi-criteria decision analysis-based framework

Cited by 57 publications

References 55 publications

A Capabilities-Led Approach to Assessing Technological Solutions for a Rural Community

A Capabilities-Led Approach to Assessing Technological Solutions for a Rural Community

Exploratory Multicriteria Decision Analysis of Utility‐Scale Battery Storage Technologies for Multiple Grid Services Based on Life‐Cycle Approaches

Renewable Energy Problems: Exploring the Methods to Support the Decision-Making Process

Contact Info

Product

Resources

About