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The purpose of this paper is to show that building stock is currently one of the largest energy consumers. It is thus imperative that buildings are optimally planned, constructed, and used from both the environmental and the economic point of view. Cost models are relevant tools for achieving this objective as they can be used to estimate the occupancy costs in early project phases including energy costs.

In the paper a regression model for predicting the energy consumption and energy costs of office buildings is developed based on the results of a survey conducted in 80 Swiss office properties.

The proposed energy cost model shows good agreement with the observed field data. The mean absolute percentage error resulted in 12 per cent. Validation tests using five properties not used for the model development revealed percentage errors ranging between −17 per cent and 7 per cent. The proposed concept and the presented cost model can be used as a basis for future studies.

The energy consumption and energy cost model can be improved as the database for developing them is further extended (including properties from different owners with different strategies, for example energy contracting, outsourcing, and maintenance strategies).

The objective of the study was to develop and validate a predictive model to facilitate the estimation of occupancy costs in early project phases. A procedure is presented on how quantitative energy consumption and cost models can be developed. Provided that sufficient empirical data are available, this proecdure can be used in further studies as a suitable and practicable concept to advance occupancy cost models.

To support ongoing industry efforts to reduce the cost of energy (CoE) of offshore wind compared to other types of energy sources, researchers are applying scientific models and thought processes to identify potential areas of improvement and optimization. This paper aims to introduce a conceptual framework from a supply chain management (SCM) perspective, aimed at promoting the reduction of CoE in the offshore wind energy industry.

Using conceptual arguments from current academic literature in SCM, a comprehensive framework is presented that clarifies how SCM practices can be used by offshore wind energy industry to reduce CoE.

The offshore wind energy sector is a young industry that must reduce CoE to compete with other forms of energy. Applying a supply chain perspective in the offshore wind industry has hitherto been limited to the academic community. This paper offers a SCM framework that includes three interdependent aspects of reducing CoE – innovation, industrialization and supplier partnering – to guide the industry towards sources to reduce CoE.

SCM is a broad research area; thus, the presented framework to reduce the CoE is open for further development.

The paper provides insights into how the CoE can be reduced through innovation, industrialization and partnering in the offshore wind energy supply chain.

The paper offers a seminal contribution by introducing a SCM framework to understand sources and approaches to reduce CoE in the offshore wind energy industry.

Many institutions of higher education have committed to carbon neutrality. Given this goal, the main economic issue is minimizing cost. As for society as a whole, dominant decarbonization strategies are renewable electricity generation, electrification of end uses and energy efficiency. The purpose of this paper is to describe the optimum combination of strategies.

There are four questions for eliminating the primary institutional greenhouse gas emissions: how much renewable electricity to produce on-site; where and at what price to purchase the balance of renewable electricity required; how to heat and cool buildings without fossil fuels; and how much to invest in energy efficiency. A method is presented to minimize decarbonization costs by equating marginal costs of the alternates.

The estimated cost of grid-purchased carbon-free energy is the most important benchmark, determining both the optimal level of campus-produced renewable energy and the optimum efficiency investment. In the context of complete decarbonization, greater efficiency investments may be justified than when individual measures are judged only by fossil-fuel savings.

This paper discusses a theoretically ideal plan and implementation issues such as purchasing carbon-free electricity, calculating marginal costs of conserved energy, nonmarginal cost changes, uncertainty about achieving efficiency targets, and dynamic pricing. The principles described in this study can be used to craft a cost-minimizing decarbonization strategy.

While previous studies discuss decarbonization strategies, there is little economic guidance on which strategies are optimal, on how to combine strategies to minimize cost or how to identify a preferred path to decarbonization.

Building energy information systems (EIS) are performance monitoring software, data acquisition hardware and communication systems used to store, analyze and display building energy data. Some $60bn are spent annually on wasted energy in the US buildings, and actions taken based on EIS data can enable operational energy savings of approximately 10 per cent in the US commercial sector (approximately two quads of primary energy). However, EIS adoption is low because of various technical and market challenges. This paper aims to provide technical specifications for standardized EIS packages that can help overcome barriers and accelerate scale.

A five-step approach was followed: identifying business drivers as key determinants for hotel sector-specific packages; addressing heterogeneity to develop standardized, tiered packages; determining performance metrics for key stakeholders; recommending streamlined data architecture; and developing visualization enabling insights and actions.

Technical specifications for two tiers (entry and advanced) of EIS packages for hotels have been developed. EIS vendor, integrator and client organization’s facilities and IT staff have been considered as key stakeholders. Findings from six field demonstrations show benefits of cost-effectiveness, through reduced transactional, first and operational costs, scalability, by accommodating heterogeneity across the building sub-sector, simplicity, by integrating meters, gateways and software in the package and actionability in organizations, across various decision-making levels.

Building owners and operators can use these specifications to ease procurement and installation of EIS in their facilities. EIS software vendors can use them to develop new product offerings for underserved sectors.

Maintenance and running costs contribute significantly to the total cost of running facilities. Almost half of the energy consumed in the UK is used in buildings. Energy consumption can be attributed to many factors. Describes the fundamentals associated with modelling running costs in leisure centres and then investigates 19 sport centres in the city of Liverpool, using data elicited from the Liverpool Leisure Services Directorate. The energy operating costs were analysed using statistical techniques and artificial intelligence methods. Three types of modelling, linear/non‐linear regression, neural networks and neurofuzzy were developed to predict energy cost. Testing and validation of the results showed that neural network models outperformed both regression and neurofuzzy techniques. However, all the models showed a high level of accuracy. The models would be of use to professionals involved in feasibility studies.

The paper aims to report on an integrated techno-economic framework for the performance analysis of energy production based on the renewable energy resources (RERs). Whilst the majority of existing studies have focussed on technical aspects of RER modelling, the proposed framework incorporates financial assessment into the process of appraising the alternatives of hydropower, wind energy and solar energy infrastructures. An approach to the optimal choice of RER deployment for a specific developing region is formulated and applied to Ghana.

A model comprising technical and economic parameters was developed for analysing the investment rankings of different RERs and comparing them to that of conventional energy sources such as the natural gas combined cycle (NGCC) electric plant. The analysis also included the carbon cost and power generation capacity. The total life cycle costing and levelised cost of energy generated from each resource were modelled for three corporate ownership structures: a public utility that is not tax-liable (no-tax case); organisational power generation for internal use, ultimately concerned with its after-tax costs (after-tax case); and an independent power producer for the market, with before-tax revenues covering all costs (before-tax case).

Using the empirical data from Ghana together with the proposed framework, it is shown that when carbon incentives are provided, the hydroelectric and wind conversion infrastructures can effectively compete with the conventional NGCC in this country, whilst with no carbon credit, NGCC still appears to be the most viable option.

Policy-related recommendations on carbon incentives and preferential power purchase prices, which are critical for widespread RER deployment, can be directly derived from this research.

The study represents a comprehensive decision-making tool that can be used in regulatory and investment analysis on the expansion of RER systems in the developing countries.

The construction industry is tasked with creating sustainable, efficient and cost-effective buildings. This study aims to develop a building information modeling (BIM)-based multiobjective optimization (MOO) model integrating the nondominated sorting genetic algorithm III (NSGA-III) to enhance sustainability. The goal is to reduce embodied energy and cost in the design process.

Through a case study research method, this study uses BIM, NSGA-III and real-world data in five phases: literature review, identification of factors, BIM model development, MOO model creation and validation in the architecture, engineering and construction sectors.

The innovative BIM-based MOO model optimizes embodied energy and cost to achieve sustainable construction. A commercial building case study validation showed a reduction of 30% in embodied energy and 21% in cost. This study validates the model’s effectiveness in integrating sustainability goals, enhancing decision-making, collaboration, efficiency and providing superior assessment.

This model delivers a unified approach to sustainable design, cutting carbon footprint and strengthening the industry’s ability to attain sustainable solutions. It holds potential for broader application and future integration of social and economic factors.

The research presents a novel BIM-based MOO model, uniquely focusing on sustainable construction with embodied energy and cost considerations. This holistic and innovative framework extends existing methodologies applicable to various buildings and paves the way for additional research in this area.

The purpose of this study is to examine the application of sustainable building design and operation within a university setting to determine its economic efficacy and potential for further university investment.

This study incorporated a life cycle cost analysis (LCCA), simple payback period and discounted payback period calculations to determine the return on investment, including a sensitivity analysis when comparing the energy use and financial benefits of the sustainable design of a multi-use facility at Toronto Metropolitan University with buildings of similar size and use-type.

It was found that there is a positive business argument for Canadian Universities to consider the use of sustainable design to reduce energy use and greenhouse gas (GHG) emissions. A reasonable payback period and net present value within an institutional context were determined using a life-cycle cost assessment approach.

This study was limited to the measure of only a single location. Certain assumptions regarding energy pricing and interest rates and the related sensitivities were anchored on a single year of time, and the results of this study may be subject to change should those prices or rates become significantly different over time. Considerations for future research include a longitudinal approach combined with a more detailed analysis of the effect of use-type on the variables discussed.

For university administrators, the results of this study may encourage institutions such as universities to approach new building projects through the lens of energy efficiency and environmental sustainability.

GHG emissions are a well-proven contributor to global climate change, and buildings remain a significant source of GHG emissions in Canada due to their winter heating and summer cooling loads. As a result, sustainable building design on university campuses can mitigate this impact by optimizing and reducing energy consumption.

Research related to the economic evaluation of sustainable building design on university campuses is generally limited, and this study represents the first of its kind in regard to an LCCA of a sustainably designed building on a Canadian University campus.

This study aims to examine the effects of policy incentives and cost on the choice and use of renewable energy in North-Central Nigeria.

The data for this study are collected from a sample of 290 respondents drawn from across 6 states in North-Central Nigeria, including the Federal Capital Territory. This study uses descriptive statistics and multinomial logistic regression to analyze the data.

The findings reveal that there is a huge potential demand for renewable energy sources (particularly solar photovoltaic) in the rural communities in Nigeria. It also indicates a positive and highly significant relationship between the level of awareness, availability and income and the use (consumption) of renewable energy sources among the rural communities. Furthermore, the cost of installation and maintenance of renewable energy, its reliability and availability are significant determinants of renewable energy choices among rural inhabitants in Nigeria.

The authors submit that inefficient policy strategies, high cost of installation and lack of awareness remain the major hindrances to the use of more efficient renewable energy sources. From a policy point of view, a viable strategy for effective use of renewable energy sources is the involvement of government, development partners and agencies for the funding of renewable energy technology in the rural sector of the country. The usage of modern renewable energy would increase if policy incentives are aimed at covering parts of the maintenance and installation cost of renewable energy users. The authors recommend that apart from creating awareness on the benefits of renewable energy, policymakers should provide a desirable policy environment for private energy firms to supply renewable energy at an affordable cost to the rural communities in Nigeria.

A majority of the rural households in Nigeria, as shown in this article, are poor and therefore use firewood as their main source of cooking energy because of the cost of renewable energy.

Despite the abundance of renewable energy sources and government effort at improving renewable energy use, more than 15 million people live without access to electricity and 54 million are without modern energy services for cooking and lightening in Nigeria. A total of 61% of these people live in rural areas. Therefore, this study is novel in providing energy policy insights for rural communities in North-Central Nigeria.

Decarbonising the housing stock is one of the largest challenges in the built environment today, which is getting the attention not only from policymakers but also from social housing corporations, financial organisations and users. In line with the international Paris-Climate-Change-Conference 2015, Dutch cities and housing associations have embraced this challenge with the ambitions to become carbon neutral in 2050. To reach such goals, both the rate and depth of renovation need to increase. Several technical solutions to eliminate the energy demand in dwelling have been developed and tested. Nevertheless, the intake rate of deep retrofitting is low. Despite recent developments, there are still significant barriers related to financing, lack of information and user acceptance. To address those barriers, the purpose of this paper is to investigate the relationship between energy efficiency upgrades and the cost of living.

Focusing on walk-up apartments in the Netherlands, a framework of refurbishment measures that affect the energy efficiency was identified, and their performance was calculated. Furthermore, the rental price adjustment was estimated, taking into account the refurbishment investment and the exploitation cost of the renovated dwellings.

The comparison of the energy use and rental price for the different options demonstrated how the different renovation measures affect the energy cost, the energy use, rent and cost of living. The tenants are more likely to accept the solutions that take into account the total cost of living and sustainability benefits. The study gives a holistic standpoint to the issue of energy upgrades, by quantifying the effect of the potential measures for the whole exploitation period. It has shown the potential of the different interventions to improve the performance and living conditions, without necessarily increasing the total cost of living.

Such results aim at supporting the decision making between the stakeholders, primarily housing associations and tenants.

The importance of the study is that it gives a holistic standpoint to the issue of energy upgrades, by quantifying the effect of the potential measures for the whole exploitation period. The cost, as a key, if not the more most decisive, issue, is put into perspective in relation to the benefit, in order to give a direction to the renovation design and arguments for the stakeholders’ dialogue. The approach of the study goes beyond cost-optimality of measures and investigated the relation between energy upgrades and cost, as a way to evaluate design variation and address the lack of information barrier in renovations. Moreover, it also proves that deep renovation is feasible without increasing in the total cost of living, which is a principal argument to promote renovations.