Probabilistic multi-criteria assessment of renewable micro-generation technologies in households

Zhang, Chonghui; Wang, Qin; Zeng, Shouzhen; Baležentis, Tomas; Štreimikienė, Dalia; Ališauskaitė-Šeškienė, Ilona; Chen, Xueli

doi:10.1016/j.jclepro.2018.12.051

Cited by 61 publications

(44 citation statements)

References 61 publications

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“…Moreover, consensus process is an important branch of group decision-making problems [37][38][39]. It will be interesting to combine the consensus model with the correlation-based TOPSIS model to address group decision-making problems [40][41][42][43][44][45]. Other empirical extensions of this approach will also be considered in future studies.…”

Section: Discussionmentioning

confidence: 99%

A Probabilistic Linguistic Multiple Attribute Decision Making Based on a New Correlation Coefficient Method and its Application in Hospital Assessment

Luo

Zeng

2020

Mathematics

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The probabilistic linguistic term set (PLTS) is a newly emerging mathematical tool for handling uncertainties. It is considered a useful extension of linguistic term sets associated with probability information and can improve the effectiveness of multiple attribute decision making (MADM). This paper proposes a new PLTS correlation coefficient and addresses its usefulness in MADM problems. For achieving this aim, some new concepts of mean, variance, and covariance of the PLTS are first proposed. Moreover, a novel PLTS Pearson correlation coefficient is defined to overcome the shortcomings of the existing methods, whose significant feature is that it lies in the interval [−1,1], which makes it more effective in reflecting the negative and positive correlation between PLTSs. A weighted PLTS Pearson correlation coefficient is further defined to consider the importance of attribute weights and expand the scope of application. Then, a relative PLTS closeness coefficient is constructed based on the developed Pearson correlation coefficient, and based on which, a Pearson correlation-based TOPSIS (technique for order of preference by similarity to ideal solution) approach for MADM problems is developed. Finally, the effectiveness as well as the applicability of the developed method are illustrated through numerical examples and comparative analysis.

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Section: Discussionmentioning

confidence: 99%

A Probabilistic Linguistic Multiple Attribute Decision Making Based on a New Correlation Coefficient Method and its Application in Hospital Assessment

Luo

Zeng

2020

Mathematics

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“…However, the limitation of this research is that only WTP is used as an evaluation index for HEMS services. Recent research [12] evaluates technology in the MCDM framework, and such a perspective may be indispensable for achieving the Sustainable Development Goals set by the United Nations. The evaluation of HEMS services including other evaluation indicators (e.g., public impact) is the goal of our future research.…”

Section: Discussionmentioning

confidence: 99%

“…Recent research considered the planning of sustainable energy systems as a multi-criteria decision making (MCDM) problem and attempted to evaluate technology from multiple viewpoints. For example, Zhang et al [12] evaluated household energy selection in Lithuania from two perspectives: public and private impacts (WTP). Our research focuses on the WTP for private impacts, given the public impacts of HEMS.…”

Section: Objectivementioning

confidence: 99%

Willingness to Pay for Home Energy Management Systems: A Survey in New York and Tokyo

et al. 2019

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This study evaluates the acceptability of home energy management systems (HEMS) in New York and Tokyo using a questionnaire survey. We investigated three basic functions of HEMS: money saving, automatic control, and environmental impact, and then quantified people’s propensity to accept each of these three functions by measuring their willingness to pay. Using the willingness to pay results, we estimated the demand probability under a given usage price for each of the three functions of home energy management systems and analyzed how socio-economic and demographic factors influence the demand probability. The demand probability related to a home energy management system function decreases as the usage price of the function increases. However, depending on people’s socio-economic characteristics, the rate of decrease in demand probability relative to the rate of increase in usage price varies. Among the three functions of home energy management systems, we found that the automatic control function showed the highest demand probability in New York and Tokyo, emphasizing the significance of an automatic control function. In New York, when the home energy management system has an automatic control function, its demand probability increases, which is further enhanced if people trust their utility company. In Tokyo, when a home energy management system has an environmental impact function, its demand probability increases at a given price. People in Tokyo have anxieties related to new technologies such as home energy management systems. Therefore, it is necessary to enhance their comprehension of a home energy management systems to address this anxiety.

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“…The research was defined as MCDM problem, where the question was to decide which RET have the highest potential of development. The extensive literature review conducted shows that MCDM is one of the tools applied the most in sustainable development evaluation issues [22], [34].…”

Section: Discussionmentioning

confidence: 99%

“…Biomass boilers could be preferable when engaged as biomass residue technology. It is to be noted that biomass and solar thermal technologies were cited as close alternatives [22].…”

Section: Lithuaniamentioning

confidence: 99%

Progress in Renewable Energy Technologies: Innovation Potential in Latvia

Suharevska

Blumberga

2019

Environmental and Climate Technologies

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The development of renewable energy technologies (RET) depends on a wide range of criteria and regulations. To evaluate which RET (solar photovoltaic (PV), wind power plants (WPP), hydroelectric power plants (HPP) or bio-energy plants) have the greatest potential in Latvia, the most suitable approach is a multiple criteria decision making (MCDM). The proposed MCDM methodology involves TOPSIS model based on information entropy, which contributes as a criteria weighting tool. The study investigates seven main criteria from technical, economic, environmental and social aspects. Firstly, each alternative country is analysed due to the chosen RET criteria. Secondly, the assessment is extended, comparing specific data with Latvia’s MCDM of RET results. The research results show that, according to the best available examples of RET, hydro energy plants still play a substantial role for Latvia, the most promising RET development is based on bio-energy and wind renewable energies.

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Probabilistic multi-criteria assessment of renewable micro-generation technologies in households

Cited by 61 publications

References 61 publications

A Probabilistic Linguistic Multiple Attribute Decision Making Based on a New Correlation Coefficient Method and its Application in Hospital Assessment

A Probabilistic Linguistic Multiple Attribute Decision Making Based on a New Correlation Coefficient Method and its Application in Hospital Assessment

Willingness to Pay for Home Energy Management Systems: A Survey in New York and Tokyo

Progress in Renewable Energy Technologies: Innovation Potential in Latvia

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