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This paper aims to propose a decision support tool that would aid decision-makers to implement energy-saving measures efficiently in a corporate real estate.

The tool consists of a system dynamic model that allows describing and quantifying the complex interaction between potential maintenance scenarios, external energy factors and case-specific conditions. In addition, to include the uncertainty of some of the input variables related to the external energy factors, Monte Carlo simulation has been applied.

A case study of a city hall in The Netherlands showed the usability of the proposed tool. Over the selected period of 20 years, applying the chosen set of interventions, the simulation showed possible gains in the net present value and significant decrease of energy consumption and carbon emission. Municipal officials and consultants verified the tool for energy efficiency.

Although the tool has proved its functionality in one case study, to test its robustness, additional case studies would be preferable.

The assessment tool can help organizations in assessing energy-efficient maintenance scenarios that include multiple technical energy efficiency interventions as a part of other maintenance activities.

There are numerous ways to increase building’s energy efficiency, but a lack of knowledge is often hindering the enhancement of maximal benefits. A tool that would assess both financial and environmental benefits of potential technical intervention would provide useful insights into corporate’s real estate current and possible future energy performance. This would aid corporations in making better decisions regarding finances, and on the long run, it will bring an improved corporate image.

In 2008, a number of Southern African countries cultivated about 900,000 ha of Jatropha, with a number of biodiesel plants ready for production; however, none of the projects succeeded. In 2014, KiOR advanced biofuel Energy Company in the USA announced bankruptcy due to incompetent technology. Studies disclose that the reasons for biofuel plants failure are not only due to lack of incentives and unclear policies but also due to lack of economic feasibility and low production yields. This paper aims to review the techno-economy assessment of second-generation biofuel technologies. The purpose of this paper is to summarize specific techno-economic indicators such as production cost, technology efficiency and process life cycle analysis for advanced biofuel technology and to narrate and illustrate a clear view of what requires assessment to deploy a feasible advanced biofuel technology. This study also reviews assessment of biomass supply chain, feedstock availability and site selection criteria. The review also elaborates on the use of different processes, forecasting and simulation-modeling tools used in different techno-economic analysis studies. The review provides guidance for conducting a technical and economic feasibility study for the advanced biofuels energy business.

The aim of this review is, therefore, to evaluate the techno-economic feasibility studies for the establishment of viable industrial scale production of second-generation biofuels. It does so by grouping studies based on technology selection, feedstock availability and suitability, process simulation and economies as well as technology environmental impact assessment.

In conclusion, techno-economic analysis tools offer researchers insight in terms of where their research and development should focus, to attain the most significant enhancement for the economics of a technology. The study patterns within the scope of techno-economics of advanced biofuel reveal that there is no generic answer as to which technology would be feasible at a commercial scale. It is therefore important to keep in mind that models can only simplify and give a simulation of reality to a certain extent. Nevertheless, reviewed studies do not reach the same results, but some results are logically similar.

The originality of this article specifically illustrates important technical and economic indicators that should be considered when conducting feasibility studies for advance biofuels.

Proper performance assessment of residential building renovation is crucial to sustainable urban development. However, a comprehensive review of the literature in this research domain is lacking. This study aims to uncover the study trend, research hotspots, prominent contributors, research gaps and directions in this field.

With a hybrid review approach adopted, relevant literature was examined in three stages. In Stage 1, literature retrieved from Scopus was screened for their relevance to the study topic. In Stage 2, bibliographic data of the shortlisted literature underwent scientometric analyses by the VOSviewer software. Finally, an in-depth qualitative review was made on the key literature.

The research hotspots in performance assessment of residential building renovation were found: energy efficiency, sustainability, thermal comfort and life cycle assessment. After the qualitative review, the following research gaps and future directions were unveiled: (1) assessments of retrofits incorporating renewable energy and energy storage systems; (2) evaluation of policy options and financial incentives to overcome financial constraints; (3) establishment of reliable embodied energy and carbon datasets; (4) indoor environment assessment concerning requirements of COVID-19 prevention and involvement of water quality, acoustic insulation and daylighting indicators; and (5) holistic decision-making model concerning residents' intentions and safety, health, well-being and social indicators.

Pioneered in providing the first comprehensive picture of the assessment studies on residential building renovations, this study contributes to offering directions for future studies and insights conducive to making rational decisions for residential building renovations.

Regarding the contribution of Australian small-size housing in the enhancement of total energy consumption of the country and the roles of the occupants’ preferences in successful implementation of action plans, the purpose of this study is to identify the Australian occupants’ collaborative image of housing energy efficiency. The two main objectives are, therefore, to address the main energy-related housing physical factors that have the potential in representing the housing image of Australian occupants and to explain the causal factors that make the physical factors critical to their energy efficiency perception.

This study has been developed through a qualitative approach. Given that the images encompass a wide range of information expressing human perceptions, an online photo-based qualitative survey was developed based on previous research works. The survey includes respondents’ demographic profiles and the evaluation of images, asking for their perception of overall housing energy efficiency, the impacts of building envelope physical attributes on the energy efficiency of the houses and the reasons behind the selection of different attributes.

This study has developed a set of attribute-based factors, explaining occupants’ collective perception of energy efficient small-size housing of Brisbane in the area of exterior aspects of the buildings. Specifically, the collaborative image of small-size housing of Brisbane is about the thermal performance of the buildings provided through passive climatic principles by using more efficient envelope features, e.g. material, colour, transparency, texture, openings, balconies and shadowing devices, while ignoring the impacts of architectural composition principles along neighbourhood quality. The key attributes in assessing the small-housing energy efficiency are ventilation, thermal performance and shadowing. The housing images in old traditional architectural style with rural face, built by stone, brick and concrete in high dense vegetation were evaluated to be more energy efficient than those with modern architecture, built by large glass panel and metal cladding with light or no vegetation.

The main limitation of the paper is related to the nature of an image-based survey, which leads to ignoring some aspects of real spaces such as odour, temperature and noise.

This research has the potential for developing a practical methodology for assessing housing-resident fit using computer-based methodology and neural networks.

This research has the potential for developing a methodology, assisting the end users in meeting their desires and motivations by helping them in assessing how a housing unit fits with their expectations and preferences.

This research provides a reliable conceptual platform for dealing with the complexity of occupants’ housing perceptions. This is achieved by establishing a collective conceptual picture of these environmental perceptions, namely, housing image, which is a platform for transferring abstract data related to human perception into measurable and quantitative scales.

In recent years, steadily rising and ever‐changing energy prices have required the development of sustainable strategies to reduce the energy consumption of buildings. Measures to improve the energy efficiency of detached houses have already been implemented. This new procedure addresses the energy efficient modernization to entire building stocks of public authorities and therefore targets to meet a key niche issue.

As result of literature research the demand for a strategic approach for energy efficient improvement was pointed out. The model framework refers to four main requirements for a new procedure within a comprehensive view of facilities management (FM), lifecycle orientation, efficient working processes, setting of objectives and monitoring of results. In addition the literature research recorded five main methods and tools which were utilized for the model development.

The new constructed facility‐energy‐efficiency model (FEE‐model) supports the decision process. The starting point is the selection of the buildings with the highest energy saving potential. The next step is a deeper analysis of the as‐is‐state in comparison with a defined target state. After that improvement areas were identified and finally a recommendation for the implementation is given. The model was tested within practical cases of which a municipal kindergarten is documented as example in this article.

The paper provides useful information on energy efficient improvement of entire building stocks.

The study aims to enhance energy efficiency within the high-energy consuming construction industry. It explores the spatial-temporal dynamics and distribution patterns of total factor energy efficiency (TFEE) across China’s construction industry, aiming to inform targeted emission reduction policies at provincial and city levels.

Utilizing a three-stage super-efficiency SBM-DEA model that integrates carbon emissions, the TFEE in 30 Chinese provinces and cities from 2004 to 2019 is assessed. Through kernel density estimation and exploratory spatial data analysis, the dynamic evolution and spatial patterns of TFEE are examined.

Analysis reveals that environmental investments positively impact TFEE, whereas Gross Regional Product (GRP) exerts a negative influence. R&D expenditure intensity and marketization show mixed effects. Excluding environmental and random factors, TFEE averages declined, aligning more closely with actual development trends, showing a gradual decrease from east to west. TFEE exhibited fluctuating growth with a trend moving from inefficient clusters to a more even distribution. Spatially, TFEE demonstrated aggregation effects and characteristics of space-time transition.

This research employs the three-stage super-efficiency SBM-DEA model to measure the total factor energy efficiency of the construction industry, taking into account external environment, random disturbances, and multiple effective decision-making units. It also evaluates energy efficiency changes before and after removing disturbances and comprehensively examines regional and temporal differences from static and dynamic, overall and phased perspectives. Additionally, Moran scatter plots and LISA cluster maps are used to objectively analyze the spatial agglomeration and factors influencing energy efficiency.

The purpose of this paper is to explore and identify the potential outer space technologies that can be used in the construction industry to enhance sustainability in buildings.

Outer space technologies developed by the National Aeronautics and Space Administration (NASA) in the USA are explored for possible use in sustainable construction within the context of the Green Mark scoring system implemented by the Building and Construction Authority (BCA) in Singapore. NASA's voltage controller and self‐illuminating materials are identified and mapped with the energy efficiency criteria of the Green Mark Scheme. The mapping exercise suggests that Green Mark points can be enhanced through appropriate adoption of these technologies.

The Green Mark points that are re‐computed can show significant enhancements when the two potential outer space technologies are to be used in the building.

National security and patent issues as well as related cost implications associated with the use of outer space technologies are not considered in the study. This may be a limitation because developers often deem costs to be an important consideration.

Appropriate outer space technologies do appear to enhance the assessment criteria in the Green Mark Scheme.

This exploratory study provides a bridge between outer space technologies and sustainable buildings. The study is original in that the bridge is the first ever attempt to further enhance the sustainability agenda, through additional Green Mark points, using potential outer space technologies developed by NASA.

It is well known that sustainability is the ideal driving path of the entire world and renewable energy is the backbone of the ongoing initiatives. The current topic of argument among the sustainability research community is on the wise selection of processes that will maximize yield and minimize emissions. The purpose of this paper is to outline different parameters and processes that impact the performance of biogas production plants through an extensive literature review. These include: comparison of biogas plant efficiency based on the use of a diverse range of feedstock; comparison of environmental impacts and its reasons during biogas production based on different feedstock and the processes followed in the management of digestate; analysis of the root cause of inefficiencies in the process of biogas production; factors affecting the energy efficiency of biogas plants based on the processes followed; and the best practices and the future research directions based on the existing life cycle assessment (LCA) studies.

The authors adopted a systematic literature review of research articles pertaining to LCA to understand in depth the current research and gaps, and to suggest future research directions.

Findings include the impact of the type of feedstock used on the efficiency of the biogas plants and the level of environmental emissions. Based on the analysis of literature pertaining to LCA, diverse factors causing emissions from biogas plants are enlisted. Similarly, the root causes of inefficiencies of biogas plants were also analyzed, which will further help researchers/professionals resolve such issues. Findings also include the limitations of existing research body and factors affecting the energy efficiency of biogas plants.

This review is focused on articles published from 2006 to 2019 and is limited to the performance of biogas plants using LCA methodology.

Literature review showed that a majority of articles focused mainly on the efficiency of biogas plants. The novel and the original aspect of this review paper is that the authors, alongside efficiency, have considered other critical parameters such as environmental emission, energy usage, processes followed during anaerobic digestion and the impact of co-digestion of feed as well. The authors also provide solid scientific reasoning to the emission and inefficiencies of the biogas plants, which were rarely analyzed in the past.

Inefficiencies in the power sector resulting from underinvesting and underselling reduce the ability of governments to adequately finance energy projects. The purpose of this paper is to explore mechanisms of energy financing, benefits and challenges associated with innovative financing of energy infrastructure as well as strategies to improve innovative financing of energy infrastructure.

Questionnaires were used to elicit responses from respondents. Seventy-eight responses were retrieved. Mean score ranking, Kruskal–Wallis test and discriminant validity were the analysis conducted.

Partial credit guarantee; partial risk guarantee; credit enhancement; and loan guarantees were the significant mechanisms. Production efficiency; reduce pressure on public budgets; access to management expertise; and self-sustainability of infrastructure facilities were the significant benefits. Lack of transparency and adequate data for risk assessment; high up-front cost; heterogeneity, complexity, and presence of a large number of parties; and lack of a clear benchmark for measuring investment performance were the severest challenges. Complete transparency and accountability; political stability and public view on private provision of energy infrastructure services; and macroeconomic environment were the significant strategies.

This study is beneficial to energy sector as the current government of Ghana hints on willingness to involve private sector in management of the power sector.

The novelty of this study is that it is a pioneering study in Ghana on innovative financing of energy infrastructure.

While pursuing energy management, firms simultaneously strive to boost sales as a path towards economic performance. Also, the literature suggests that family firms exhibit greater environmental commitment than their non-family counterparts. To examine these contentions, this review espouses contingency theory to interrogate the correlations of (1) energy consumption targets, (2) energy efficiency enhancing measures, (3) energy consumption monitoring and (4) the domestic sales performance of small family firms in Turkey's food sector.

Data were sourced from the World Bank Enterprise Survey. A sample of 137 family firms in food production, processing and retail was analysed using non-linear structural equation modelling. Path coefficients were determined to estimate the extent to which energy management practices predict domestic sales.

The path analysis revealed that although energy consumption targets do not directly increase sales performance, they stimulate firms' energy efficiency enhancement measures and energy consumption monitoring to produce this effect by 21%.

The contingency lens espoused leaves room to capture further antecedents in small family food firms' technical, managerial, ownership, operational and architectural configuration that may also interact with or predict the propensity for energy management.

For practitioners, the inherent findings demonstrate that there are firm-specific material benefits arising from adopting energy management practices. And, although small firms such as family food businesses may have low energy intensities, they can improve their sales performance by setting energy targets, installing energy efficiency enhancing measures and embarking on energy consumption monitoring.

Public stakeholders in Turkey such as the Ministry of Energy and Natural Resources, the General Directorate of Energy Affairs and affiliate institutions can reflect on these findings to develop a coherent national energy management policy for small firms. Such initiatives are especially relevant to Turkey and its ambitions to join the EU which requires member states to set up a national energy efficiency action plan.

This inquiry is one of the first to examine energy management in the food sector at the family firm level through the contingency lens. Theoretically, the results draw attention and shed new light on disparate energy management practices and their discrete yet substantial contribution to sales performance.