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This paper aims to show the possibilities of implementing the idea of sustainability in the context of energy transformation using the concept of an industrial cluster. The implementation of the idea of sustainability is of particular importance from the perspective of the functioning of the meta-organisations involved in the implementation and promotion of decarbonisation processes. Industrial clusters, as collective actors initiating collective actions and providing complex governance structures, seem to have a great fit with regard to the needs of disseminating and implementing the idea of sustainable development, also in conjunction with energy development.

Empirical evidence is derived from a case study of Mazovia Clustes ICT (MC ICT). Based on the experience of this cluster, this study wants to show the evolution of the industrial cluster through the prism of its growing activity in supporting energy transition. The authors conducted the research in the period 2022–2023 using in-depth personal interviews and an analysis of the secondary data. The primary technique for data analysis and interpretation was conventional qualitative content analysis.

As a result of this study, the authors have distinguished three main areas of cluster activity covering the strategic, operational/project and institutional levels. Within the first area, the cluster’s efforts focused on the development of a strategy and involvement in lobbying and co-legislating. The second area refers to the cluster’s activity in the carrying out of national and transnational projects on the creation and implementation of various energy solutions. The activities undertaken in the third area include support for the development of start-ups in the field of energy and involvement in the launch of an energy cluster and the development of distributed energy in Poland. Although the strategic and operational/project levels are characterised by a commonality of activities and goals, there is additionally a commonality of interests at the institutional level.

This paper has its limitations, which primarily relate to the small research sample (the choice of a case study as the main research strategy) and the methods used (qualitative research). Therefore, it is impossible to generalise the results to the entire population of clusters.

This paper has considerable practical value, as the results of this study may be relevant for public authorities interested in implementing energy transition through industrial clusters. The activities described can also be a source of inspiration for other clusters interested in shaping pro-environmental attitudes.

The cluster’s activities are closely linked to the three pillars of sustainable development, including the social pillar. The solutions developed within the cluster in the context of energy development are aimed not only at increasing energy efficiency and protecting the environment but also at broader social welfare.

This paper makes an additional contribution to the state-of-the-art of the industrial cluster concept by linking it to the idea of sustainable development, in the context of energy transformation. In addition, it sheds new light on issues related to cluster co-operation, combining the case of the industrial cluster with the very fresh and as yet poorly described idea of the energy cluster.

The amount of energy consumption of buildings has obtained international concern so the concept of zero energy building becomes a target for building designers. There are various definitions and evaluation methods for efficient buildings. However, detailed research about the critical parameters that have a major effect through the operational time to reduce the energy consumption is not emphasized as this paper represents. The main aim of this study is to identify the effect of applicable interventions on energy consumption parameters with their sensitivity to each other to reach zero energy building. Relatedly, the cost of energy reduction is also determined.

Energy consumption parameters were defined as area lightings, space heating, space cooling, ventilation fans, pumps, auxiliary equipment and related miscellaneous equipment. The effect of each applied intervention on energy consumption was classified as high, medium, low, very low, no effect and negative effect by utilizing a sensitivity analysis. The base case's energy model is created by utilizing energy performance software such as e-Quest. Accordingly, energy performance improvement scenarios are developed by applying interventions such as lamp replacements, sensors, heat pumps and photovoltaic panels’ integration. Furthermore, sensitivity analyses of each intervention were developed for consumed energy and its cost.

Results indicated the electric consumption is more effective than gas consumption on primary energy and energy cost. Solar systems decline primary energy by 78.53%, lighting systems by 13.47% and heat pump by 5.48% in this building; therefore, integrating mentioned strategies could rise the improvement rate to 100%, in other words, zero amount of energy is using from the grid that means saving $ 5,750.39 in one year.

The study can be applied to similar buildings. It is worthwhile to investigate suggested methods in diverse buildings with different functions and climates in future works.

This study aims to investigate of energy consumption of an educational building in the Mediterranean climate to convert an existing building into a zero energy building by saving energy and renewable sources. Subsequent purposes are analyzing the effect of each strategy on energy consumption and cost.

The novelty of this study is filling gaps in sensitivity analysis of energy consumption parameters by not only identifying their effect on overall energy consumption but also identifying their effect on each other. Some interventions may have a positive effect on overall consumption while having a negative effect on each other. Identifying this critical effect in detail not only further improves the energy performance, but also may affect the decision-making of the interventions.

The use of energy efficient cookstoves (EECS) has been promoted for a long and considered as instrumental in the efforts to mitigate the multiple social, economic and environmental consequences of traditional biomass cookstoves. Despite this, the adoption of EECS in pre-urban and rural Ethiopia is still very low. In response to this, the government of Ethiopia, in collaboration with international development organizations, implemented numerous initiatives aimed at improving the availability and use of EECS as part of the effort to support sustainable development. However, very little is known about the impact of the introduced EECS on improving the welfare of women. The purpose of this study is, therefore, to assess the impact of improved cookstoves projects on the welfare of women in Yaya Gullele district, Ethiopia.

A mixed research design was adopted to conduct the study. The quantitative data for the study were collected using a structured questionnaire by interviewing 388 randomly selected respondents. The data were analysed using both descriptive and inferential data analysis techniques, including the propensity score matching model using STATA.

Results of the study revealed that adoption of EECS has reduced fuel wood expense (124.65 Ethiopian Birr [ETB]/week), reduced five-year stove expense (404.67 ETB) and increased regular savings (116.58 ETB/month), which contributed for an increased annual income of participants (5,594.42 ETB). The result of the study also indicated that the use of EECS enabled the beneficiary women to reduce the amount of fuel wood use by 29.4 kg/week, which in turn reduced forest degradation and emission by 2.34 tons of CO₂e/year/household. Besides, it reduced the drudgery on women in terms of reduced time to cook (53 min/day), reduced time to collect fuelwood and prepare food (3.95 h/week) and reduced frequency of fuelwood collection trips (3.42 trips/week). The study results, in general, indicated that the adoption of EECS improved the welfare of women in the study area, where the majority of women have been suffering from the burden of using traditional stoves and associated impacts for a long.

Energy is central to most of the development-related challenges and opportunities every country faces today. The result of the study implied that policies and strategies intended at improving the availability and use of EECS as part of the effort to support sustainable development need to consider integrating such context-referenced, locally manageable and affordable EECS into the clean developmental strategies of the country.

Insights from this study can support development practitioners and policymakers to make informed decisions regarding future interventions in the use of energy efficient that have the potential to several economic, social and environmental positive development outcomes.

This study aims to examine the awareness of the inhabitants regarding energy consumption in relation to comfort in Tlemcen and analyze the paths of influence and the effects of individual objective and subjective characteristic factors. This determines the factors' level of perception of the importance of energy retrofitting.

As part of an exploratory empirical study, this paper further discusses accompanied survey data from a sample of 208 properties, through a triangulation of in-depth qualitative studies and quantitative studies developed and analyzed by SPSS software (the Statistical Package for the Social Sciences).

Analysis of the results of the survey shows that the respondents have a level of awareness on comfort linked to energy savings but they lack guidance and recourse to specialists. The conclusion is that resident awareness is crucial and beneficial and that the key socio-demographic characteristics to determine the perception factors are related to age, occupation, household size and time lived in the house.

By exploring some of the key insights from the survey, this research improves residents' perception of the importance of energy retrofitting in the residential sector, highlighting the importance of priorities. This influences public attitudes and contributes to raising awareness in order to provide useful results for developing, in future studies, motivational strategies for these inhabitants. The present research is expected to add value to existing studies academically and methodologically and provide policy guidance to policy makers and other energy efficiency (EE) practitioners in the Maghreb region and beyond.

The aim of this paper is to discuss a selection of policy strategies, regional initiatives and market approaches to uncover the realities of twenty-first-century building energy performance. A position that market-based approaches, human influence and policy interventions are part of an ecosystem of building energy performance is presented.

An exploratory search of secondary sources spanning the last three decades was conducted. Both peer-reviewed and grey literature were included to capture a broader understanding of the discourse in literature. Research questions guided the literature search, and a data extraction tool was designed to categorise the literature. The primary limitation of this study is that only a few applications could be discussed in a condensed format.

Several challenges about the current status quo of building energy performance were identified and summarised as follows. (1) Inconsistencies in measurement and verification protocols, (2) Impacts of market approaches, (3) National policy priorities that are at variance with regional targets and (4) Ambiguous reporting on environmental impacts of energy efficiency (EE) technologies.

The practical implications of the findings in this paper for practice and research are that as part of the building energy performance ecosystem, national responses through government interventions must become adaptive to keep up with the fast-paced energy sector and social trends. Simultaneously, before market-based approaches overcome the messiness of socio-economic dynamics, institutional conditions and cultural nuances, they ought to transparently address environmental impacts and the infringement of several SDGs before they can become viable solutions to building energy performance.

This paper presents building energy performance as an ecosystem comprising human influence, market-based approaches and policy interventions which form interdependent parts of the whole. However, evidence in the literature shows that these aspects are usually investigated separately. By presenting them as an ecosystem, this paper contributes to the discourse by advocating the need to re-align building energy performance to socio-economic-political dynamics and contextually viable solutions.

Considering the world population, an additional 415.1 billion m² of built floor will be needed by 2050, which could worsen the environmental impact of the construction industry that is responsible for one-third of global Carbon Emissions (CEs). Thus, the current construction practices need to be upgraded toward eco-friendly technologies. Building Information Modeling (BIM) proved a significant potential to enhance Building and Infrastructure (B&I) ecological performances. However, no previous study has evaluated the nexus between BIM and B&I CEs. This study aims to fill this gap by disclosing the research evolution and metrics and key concepts and tools associated with this nexus.

A mixed-method design was adopted based on scientometric and scoping reviews of 52 consistent peer-reviewed papers collected from 3 large scientific databases.

This study presented six research metrics and revealed that the nexus between BIM and CEs is a contemporary topic that involves seven main research themes. Moreover, it cast light on six key associated concepts: Life Cycle Assessment; Boundary limits; Building Life Cycle CE (BLCCE); Responsible sources for BLCCE; Green and integrated BIM; and sustainable buildings and related rating systems. Furthermore, it identified 56 nexus-related Information and Communication Technologies tools and 17 CE-coefficient databases and discussed their consistency.

This study will fill the knowledge gap by providing scholars, practitioners and decision-makers with a good grasp of the nexus between CEs and BIM and paving the path toward further research, strategies and technological solutions to decrease CEs of B&I sectors and their impacts on the climate change.

Modern renewable energy is crucial for environmental conservation, sustainable economic growth and energy security, especially in developing East African nations that heavily use traditional biomass. Thus, this study aims to examine urbanization and modern renewable energy consumption (MREC) in East African community (EAC) while controlling for gross domestic product (GDP), population growth, foreign direct investment (FDI), industrialization and trade openness (TOP).

This study considers a balanced panel of five EAC countries from 1996 to 2019. Long-run dynamic ordinary least squares (DOLS) and fully modified ordinary least squares estimations were used to ascertain the relationships while the vector error-correction model was used to ascertain the causal relationship.

Results show that urbanization, FDI, industrialization and TOP positively affect MREC. Whereas population growth and GDP reduce MREC, the effect for GDP is not that significant. The study also found a bidirectional causality between urbanization, FDI, TOP and MREC in the long run.

Investing in modern renewable energy facilities should be a top priority, particularly in cities with expanding populations. The governments of the EAC should endeavor to make MREC affordable among the urban population by creating income-generating activities in the urban centers and sensitizing the urban population to the benefits of using MREC. Also, the government may come up with policies that enhance the establishment of lower prices for modern renewable energy commodities so as to increase their affordability.

MREC is a new concept in the energy consumption literature. Much of the research focuses on renewable energy consumption including the use of traditional biomass which contributes to climate change negatively. Besides, the influence of factors such as urbanization has not been given significant attention. Yet urbanization is identified as a catalyst for MREC.

The purpose of the paper is to assess the systemic risk in the new energy stock markets of China.

This paper first uses the VaR method to study individual stock market risks. It then introduces the DCC model to capture the dynamic conditional correlation among the new energy stock markets.

The paper shows a generally upward trend of the stock market risk over time in the recent decade. Among all the markets considered, the solar power market demonstrates the highest risk, closely followed by the wind power market, while the hydropower market exhibits the lowest risk. Furthermore, the average dynamic conditional correlations among the new energy markets stay high during the period under investigation though daily correlations vary and significantly declined in 2020.

To the best of the authors’ knowledge, this paper is the first of its kind to study the systemic risk within the new energy stock market context. In addition, it not only investigates individual new energy stock market risks but also examines the dynamic linkages among those markets, thus providing comprehensive and unprecedented evidence of systemic risk in China new energy markets, which have useful implications for both regulators and investors.

Blockchain for energy trading is a trending research area in the current context. However, a noticeable gap exists in the review articles focussing on solar energy trading with blockchain technology. Thus, this study aims to systematically examine and synthesise the existing research on implementing blockchain technology in sustainable solar energy trading.

The study pursued a systematic literature review to achieve its aim. The data extraction process focussed on the Scopus and Web of Science (WoS) databases, yielding an initial set of 129 articles. Subsequent screening and removal of duplicates led to 87 articles for bibliometric analysis, utilising VOSviewer software to discern evolutionary progress in the field. Following the establishment of inclusion and exclusion criteria, a manual content analysis was conducted on a subset of 19 articles.

The results indicated a rising interest in publications on solar energy trading with blockchain technology. Some studies are exploring the integration of new technologies like machine learning and artificial intelligence in this domain. However, challenges and limitations were identified, such as the absence of real-world solar energy trading projects.

This study offers a distinctive approach by integrating bibliometric and manual content analyses, a methodology seldom explored. It provides valuable recommendations for academia and industry, influencing future research and industry practices. Insights include integrating blockchain into solar energy trading and addressing knowledge gaps. These findings advance societal goals, such as transitioning to renewable energy sources (RES) and mitigating carbon emissions, fostering a sustainable future.

The aim of this study is to (1) construct a standard framework for assessing the capability of bioenergy enterprises' digital green innovation partners; (2) quantify the choice of partners for digital green innovation by bioenergy enterprises; (3) propose based on a dual combination empowerment niche digital green innovation field model.

Fuzzy set theory is combined into field theory to investigate resource complementarity. The successful application of the model to a real case illustrates how the model can be used to address the problem of digital green innovation partner selection. Finally, the standard framework and digital green innovation field model can be applied to the practical partner selection of bioenergy enterprises.

Digital green innovation technology of superposition of complementarity, mutual trust and resources makes the digital green innovation knowledge from partners to biofuels in the enterprise. The index rating system included eight target layers: digital technology innovation level, bioenergy technology innovation level, bioenergy green level, aggregated digital green innovation resource level, bioenergy technology market development ability, co-operation mutual trust and cooperation aggregation degree.

This study helps to (1) construct the evaluation standard framework of digital green innovation capability based on the dual combination empowerment theory; (2) develop a new digital green innovation domain model for bioenergy enterprises to select digital green innovation partners; (3) assist bioenergy enterprises in implementing digital green innovation practices.