Willingness to pay for climate change mitigation measures in households: Bundling up renewable energy, energy efficiency, and renovation

Balezentis, Tomas; Streimikiene, Dalia; Stankuniene, Gintare; Shobande, Olatunji Abdul

doi:10.1002/sd.2784

Cited by 3 publications

(1 citation statement)

References 57 publications

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“…The highest energy saving potential in households is linked with building renovation, followed by the use of energy efficient appliances (including lighting). Renewable energy microgeneration technologies in households also provide opportunities for GHG emission reduction (Balezentis et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Policies and measures for energy efficiency improvement at households: A bibliometric analysis

Streimikiene,

Kyriakopoulos,

Ślusarczyk

et al. 2023

Int. J. Renew. Energy Dev.

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Recently, governmental subsidies have led to increased renewable energy adoption and household CO2 emissions reduction. However, energy efficiency improvement and greenhouse gas emission reduction potential in households’ sector are not yet fully realized. Decision-making by individuals is also a crucial factor in adopting energy-efficient and renewable energy technologies, which is why this study analyses some important behavioral change-linked issues. This study also focuses on various policies and measures to achieve energy efficiency improvements in households, such as use of renewable energy sources, renovation of residential buildings, use of energy efficient appliances etc. The methodology of the study contains a bibliometric analysis in the field of energy efficiency at households, covering the years of publication 2010-2023 and organizing all documents into 9 classifications. Among them 6 classifications have been further considered: Citation analysis; Authors’ networks; High impact journals of publishing; Knowledge mapping of co-authorship collaboration among institutions; Co-authorship among countries; Keywords concurrence analysis. Following a systematic literature review the bibliometric findings reveal the steady increase of literature production in the field of energy efficiency at households, showing also the pivotal role of institutions among developed and industrialized economies. Moreover, there is a densely and steadily growing network of keywords reported, implying the thematic expansion of this topic from the modelling-pilot scales towards the real world and in field applications. Finally, identified research constraints of energy efficiency improvement are that of: high costs, lack of information and knowledge, low priority to environmental and climate change mitigation concerns, and resistance to behavioral change.

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Section: Introductionmentioning

confidence: 99%

Policies and measures for energy efficiency improvement at households: A bibliometric analysis

Streimikiene,

Kyriakopoulos,

Ślusarczyk

et al. 2023

Int. J. Renew. Energy Dev.

Self Cite

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Heterogeneities in willingness to pay for circular affordable housing: insight from young users

Lee,

Han,

de Vries

et al. 2024

Housing Studies

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Multi-objective decision optimization design for building energy-saving retrofitting design based on improved grasshopper optimization algorithm

Bao,

Zhang

2024

Int. J. Renew. Energy Dev.

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With the national emphasis on building energy efficiency planning, energy efficiency optimization in existing buildings requires renovation measures based on multi-objective factors. In order to get the optimal solution in the multi-objective decision-making of renovation, the study proposes a class of improved grasshopper optimization algorithms. The process employs a systematic methodology to identify an optimal energy renovation method, taking into account the specific characteristics of the building environment. It then classifies and formulates the energy reduction substitution items for building renovation, and finally, it synchronizes the cost of the renovation project as a measure for decision-making. The elite inverse strategy approach enhances the grasshopper optimization algorithm to facilitate the multi-objective decision-making process associated with building renovation measures. The results showed that the improved grasshopper optimization algorithm could achieve a decision accuracy of 98.8% for the test samples, which was 5.5% higher than the accuracy of the particle swarm optimization algorithm. Repeated run tests of the research algorithm for multi-objective decision making yielded a mean decision fitness value of 2.34×104 and a data extreme value of 0.38×104. Compared to other algorithms improved grasshopper optimization algorithm converged in a lower range of fitness values, which indicated that the algorithm worked well for multi-objective optimization and the model repeatability was good. The research algorithm was used to decide the energy efficient renovation planning of the building and the power consumption of the renovated power supply system was reduced by 23.7%-49.6%. This indicates that the renovated building has better energy efficiency and can provide a reliable technical direction for decision-making optimization of building energy efficiency renovation.

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Willingness to pay for climate change mitigation measures in households: Bundling up renewable energy, energy efficiency, and renovation

Cited by 3 publications

References 57 publications

Policies and measures for energy efficiency improvement at households: A bibliometric analysis

Policies and measures for energy efficiency improvement at households: A bibliometric analysis

Heterogeneities in willingness to pay for circular affordable housing: insight from young users

Multi-objective decision optimization design for building energy-saving retrofitting design based on improved grasshopper optimization algorithm

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