Estimating the benefits of increasing the recycling rate of lamps from the domestic sector: Methodology, opportunities and case study

Grigoropoulos, C J; Doulos, Lambros T.; Zerefos, Stelios; Tsangrassoulis, Aris; Bhusal, Pramod

doi:10.1016/j.wasman.2019.10.010

Cited by 34 publications

(8 citation statements)

References 62 publications

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“…Conclusively, the intelligent predictive analytics for sustainable business investments in RES cannot undermine the necessity of improving the social welfare of the energy production from renewable-oriented sources. Social welfare pursuing is driving the willingness to invest in initiatives that work towards urban environmental sustainability, especially in terms of upgrading life quality and contributing to energy indicators on environmental criteria [42][43][44].…”

Section: Discussionmentioning

confidence: 99%

Intelligent Predictive Analytics for Sustainable Business Investment in Renewable Energy Sources

et al. 2020

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Willingness to invest in renewable energy sources (RES) is predictable under data mining classification methods. Data was collected from the area of Evia in Greece via a questionnaire survey by using a sample of 360 respondents. The questions focused on the respondents’ perceptions and offered benefits for wind energy, solar photovoltaics (PVs), small hydro parks and biomass investments. The classification algorithms of Bayesian Network classifier, Logistic Regression, Support Vector Machine (SVM), C4.5, k-Nearest Neighbors (k-NN) and Long Short Term Memory (LSTM) were used. The Bayesian Network classifier was the best method, with a prediction accuracy of 0.7942. The most important variables for the prediction of willingness to invest were the level of information, the level of acceptance and the contribution to sustainable development. Future studies should include data on state incentives and their impact on willingness to invest.

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Section: Discussionmentioning

confidence: 99%

Intelligent Predictive Analytics for Sustainable Business Investment in Renewable Energy Sources

et al. 2020

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“…This research is further oriented to sustainable and environmentally friendly lighting systems [52,53]. Specific research orientations of these systems select efficient luminaires, lighting control, or embody more efficient lighting design or daylight [54][55][56]. In our study, the lighting design was directed to save energy, which is in compliance with the ongoing legislative and technological interest in energy saving policies, devices, and applications.…”

Section: Lighting Appliancesmentioning

confidence: 99%

Investigating Thermal Performance of Residential Buildings in Marmari Region, South Evia, Greece

et al. 2020

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In recent decades, the steady increase of energy consumption from building construction and operations cause atmospheric pollution and significant financial burden, mainly due to the high costs imposed from energy production. This study examines ways under which modern designs of a building can be applied on construction and domestication while following conventional methods of construction, compared to a building that has been constructed and domesticated under bioclimatic architecture. Particularly, two buildings were investigated in terms of the energy consumption incurred, being built on the same seaside area and period of construction and at adjacent plots of the same distance from sea for ease of comparison. The first building (A1) was constructed under the principles of bioclimatic architecture, being also facilitated with green and smart technologies. The second building (A2) was constructed under conventional construction techniques. The energy efficiency of both buildings was calculated by the “TEE KENAK” software, while specific parameters were recorded. Energy classifications of both buildings were valued and a proposed scenario and interventions unveiled the energy classification upgrading from A2 to A1. Our analysis revealed, as also found in the literature, that during thermal energy oscillating conditions, corresponding relative humidity stresses were observed, indicating that the vapor pressure handling should be taken into account towards comfort. The preliminary incremental cost evaluation and comparison of A1 and A2 energy upgrading under the criterion of simple payback period were critically discussed.

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“…Besides, eco-design directives should include more environmental aspects and focus on resource efficiency, recommending that efficiency indicators should be established. Moreover, within the EU, policy design and analysis were mainly focused on recycling and fostering its relationship with ecological design ( [7,8]).…”

Section: Evolutionary Definitions and Designing Features At The Circumentioning

confidence: 99%

Evaluating Circular Economy under a Multi-Parametric Approach: A Technological Review

et al. 2019

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A circular economy (CE) is conceptualized under different rounds of materials and energy cycling flows and is a matter of a three-level deployment: inter-enterprise circulation, regional circulation, and social circulation. Regarding them, the aim of this research was to get an update on the current technological advances and the perspectives of its implementation. Thus, a multi-parametric approach has been conducted to analyze the functionality of technologies in wastewater treatment, organic waste management, agrarian development, and food waste in the context of CE. Beside the narrative of the technological view, a critical approach assimilates the environmental, marketing, economic, governmental, and procedural viewpoints and leads to key indicators which are subject to positive and negative externalities. Due to this co-existence, we denoted the complexity of CE principle implementation and the need for specific envisage in each case, while proposing strategies are formulated in the light of social-environmental impact. Finally, further research gaps were proposed for deeper consideration.

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Estimating the benefits of increasing the recycling rate of lamps from the domestic sector: Methodology, opportunities and case study

Cited by 34 publications

References 62 publications

Intelligent Predictive Analytics for Sustainable Business Investment in Renewable Energy Sources

Intelligent Predictive Analytics for Sustainable Business Investment in Renewable Energy Sources

Investigating Thermal Performance of Residential Buildings in Marmari Region, South Evia, Greece

Evaluating Circular Economy under a Multi-Parametric Approach: A Technological Review

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