Costs Of Greenhouse Gas Emissions Research Articles

Effect of collection efficiency and oxidation factor on greenhouse gas emission and life cycle cost of landfill distributed energy generation

The landfill gas obtainable from municipal solid waste landfills can be a useful energy carrier for distributed electricity generation if properly harnessed. The quantity of the landfill gas available for use can be greatly influenced by its collection efficiency and the oxidation factor. This paper therefore estimates the possible effect of landfill gas collection efficiency as well as the oxidation factor on the electricity generation potential, life cycle cost and greenhouse gas emission of a landfill distributed generation system. To achieve this objective(s), the municipal solid waste data of the city of Ibadan is used and the amount of landfill gas obtainable in the short and long terms from the decomposition of waste in the landfill is determined using the Landfill Emission Generation Model software. The results showed that the average landfill gas generation rate based on the estimated waste profile of the city was 0.2028 billion cubic metres per year which could produce about 372 Giga Watts hour per year of electricity. It also demonstrated that the collection efficiency and oxidation factor have reciprocating impact on the electricity generation potential obtainable from landfill sites. This study can be found useful for landfill operators, engineers, environmentalists and other stakeholders in waste management sector on the need to operate upgraded landfill sites for improved energy generation and environmental benefits.

Reflecting the environmental cost of greenhouse gas emissions from an urban water system in the water price

AbstractThis study evaluated greenhouse gas (GHG) emissions from an urban water system in Taiwan using a lifecycle assessment method. The water system of the Taipei region was used as a case study. Both on‐site and off‐site emissions of GHGs were considered. Total GHG emissions from the urban water system were 151,211.3 t CO2‐eq/y in the study period. On‐site GHG emissions from water surfaces and chemical additives contributed 3.1% and 18.3% of total emissions. The reservoir accounted for 1% of total off‐site GHG emissions from electricity consumption; 60.3% was from purification plants and 38.7% from boosting stations. The environmental cost of GHG emissions from the urban water system was calculated as US$0.001 per ton of water, which implies that the water price in Taiwan should be increased to US$0.27/t. This study explored the principle of ‘user pays’ in water pricing by monetizing the environmental cost of GHG emissions.

An integrated stochastic EPQ model under quality and green policies: generalised cross decomposition under the separability approach

ABSTRACT In this paper, a bi-objective multi-product constrained and integrated economic production quantity model is designed by considering the quality control and green production policies. The aforementioned model comes with stochastic constraints. Moreover, to create a kind of green approach policy, tax cost of greenhouse gas emissions and limitations are considered. The aim of this study is to optimise the total inventory cost and the total profit, while the stochastic constraints are satisfied. Due to the inconsistency of objectives, an Lp-metric function is utilised to integrate and achieve a single objective function. Therefore, the mathematical formulation of the problem is bi-objective stochastic mixed integer nonlinear programming large scale and hard to solve. Accordingly, generalised cross decomposition under the separability approach is utilised as an effective algorithm for global optimisation. Moreover, sensitivity analysis revealed that increasing the cost function weight versus decreasing the profit function weight leads to the change rate of the integrated-objective function becomes positive with a steep slope.

Why the Red State of Louisiana Should Consider Geaux-Ing Green by Implementing a Carbon Tax

While several European countries, Australia and provinces of Canada have already passed a carbon tax, the United States and Louisiana are slow to pass such a tax because of the ideologic, economic and legal barriers on the legislature. A carbon tax puts a price on the societal cost of greenhouse gas emissions and considers how these costs factor into the price of the fossil fuels that create them in an attempt to delay the pervasive effects of climate change. Louisiana and the United States should consider market-based mechanisms for a carbon tax that targets one of two areas: quantity control or price control. Putting a price on carbon and taxing an undesirable social behavior would thus levy the detrimental effects of GHG’s while promoting energy efficient improvements and preferences for non-carbon alternatives. Although some mechanisms, like a cap-and-trade program, would increase household energy bills and costs, a carbon tax would likely not cause the same deficits because it would not rely on tumultuous and uncertain energy prices but instead on a fixed ceiling. Louisiana resident’s ideology are inadvertently destroying their beautiful state by refuting to acknowledge correlative causes of climate change. The legislature should fervently consider the implementation of a carbon tax to reduce industrial sector emissions to hinder the effects of global warming, raise revenue to close the budgetary gap and decrease the possibility of natural disaster threatening human lives.

Organic solid waste management in a circular economy perspective – A systematic review and SWOT analysis

Abstract This study carried out a systematic literature review and content analysis to identify the state of the art and the strengths, weaknesses, opportunities, and threats (SWOT analysis) of organic waste management through circular economy (CE) principles and created a research agenda on the topic. The main threats and weaknesses were: logistic cost and supply chain management; seasonality; availability and lack of homogenization of the raw material (organic waste); quality and efficiency of the alternative product, which is not economically competitive with traditional ones; and lack of technical standards and regulation. The main strengths were: the possibility to turn waste streams into valuable resources, contributing to environmental improvement and greenhouse gas emission reduction and costs reduction; stimulation of cooperative projects and production of bio-based chemicals and energy; and job creation and new investment opportunities as the result of the development of a new business model and a new value chain based on organic waste, boosting companies that focus on green solutions. The proposed research agenda concentrated on emerging value chains and modifying existing business models, legislation and taxation to aid in the competitiveness of alternative materials derived from organic waste in a CE perspective.

ECOEFICIÊNCIA E PREÇO SOMBRA DAS EMISSÕES DE GASES DE EFEITO ESTUFA NA SUINOCULTURA BRASILEIRA

Nas últimas décadas a suinocultura tornou-se uma importante atividade para o agronegócio brasileiro, com contribuições para o desenvolvimento econômico do país. Contudo, esse setor apresenta um grande potencial poluente, com um elevado custo ambiental relacionado ao processo produtivo. Neste contexto, o presente trabalho tem como objetivo estimar a ecoeficiência na produção brasileira de suínos, os preços sombra e os custos totais das emissões de Gases de Efeito Estufa (GEE). O método utilizado para atingir o objetivo proposto foi a Análise Envoltória de Dados combinada com o método de Funções Distâncias Direcionais. Foram estabelecidos dois padrões de dados na pesquisa dos municípios produtores de suínos em nove Estados brasileiros. Para o Padrão 1, em média, os municípios podem elevar a produção em 36,9% e reduzir as emissões de CO2 e na mesma proporção, com a mesma quantidade de insumos. Para o Padrão 2 esse valor foi de 47,22%. Os preços sombra médios ficaram em R$ 3.539,81 no Padrão 1 e R$ 3.677,07 no Padrão 2. As estimativas dos custos totais da redução das emissões de CO2 e foram de R$ 1,37 bilhões, o equivalente a 468% da produção em 2006, para o Padrão 1, e R$ 1,42 bilhões, correspondente a 486% da produção em 2006, para o Padrão 2. Portanto, constatou-se que a incorporação desses custos é praticamente inviável, pois levaria à descontinuidade das propriedades. Desse modo, a pesquisa indica a necessidade de redesenhar um sistema dissuasivo de punições e incentivos, que considere os preços sombra para que os produtores de suínos internalizem as externalidades negativas e busquem compensações para as ações que reduzam as emissões ou utilizem tecnologias mais limpas. A principal contribuição do trabalho é a inclusão da análise de eficiência considerando a variável ambiental, questão ainda pouco abordada na literatura.

Methods and consequences of including reduction in greenhouse gas emission in beef cattle multiple-trait selection

BackgroundSocietal pressures exist to reduce greenhouse gas (GHG) emissions from farm animals, especially in beef cattle. Both total GHG and GHG emissions per unit of product decrease as productivity increases. Limitations of previous studies on GHG emissions are that they generally describe feed intake inadequately, assess the consequences of selection on particular traits only, or examine consequences for only part of the production chain. Here, we examine GHG emissions for the whole production chain, with the estimated cost of carbon included as an extra cost on traits in the breeding objective of the production system.MethodsWe examined an example beef production system where economic merit was measured from weaning to slaughter. The estimated cost of the carbon dioxide equivalent (CO2-e) associated with feed intake change is included in the economic values calculated for the breeding objective traits and comes in addition to the cost of the feed associated with trait change. GHG emission effects on the production system are accumulated over the breeding objective traits, and the reduction in GHG emissions is evaluated, for different carbon prices, both for the individual animal and the production system.ResultsMultiple-trait selection in beef cattle can reduce total GHG and GHG emissions per unit of product while increasing economic performance if the cost of feed in the breeding objective is high. When carbon price was $10, $20, $30 and $40/ton CO2-e, selection decreased total GHG emissions by 1.1, 1.6, 2.1 and 2.6% per generation, respectively. When the cost of feed for the breeding objective was low, selection reduced total GHG emissions only if carbon price was high (~ $80/ton CO2-e). Ignoring the costs of GHG emissions when feed cost was low substantially increased emissions (e.g. 4.4% per generation or ~ 8.8% in 10 years).ConclusionsThe ability to reduce GHG emissions in beef cattle depends on the cost of feed in the breeding objective of the production system. Multiple-trait selection will reduce emissions, while improving economic performance, if the cost of feed in the breeding objective is high. If it is low, greater growth will be favoured, leading to an increase in GHG emissions that may be undesirable.

Alternative-fuel-vehicle policy interactions increase U.S. greenhouse gas emissions

The transportation sector is currently the largest contributor of greenhouse gas (GHG) emissions in the United States, and light-duty vehicles produce the majority of transportation emissions. Federal standards for fleet-averaged vehicle GHG emission rates and their corresponding corporate average fuel economy standards cap GHG emissions of the US light-duty vehicle fleet. In addition, two key policies aim to encourage a future fleet transition to alternative fuel vehicle (AFV) technologies: (1) incentives that treat AFVs favorably in the federal GHG standard, and (2) state zero-emissions vehicle (ZEV) policy, which mandates AFV sales in some states. While each of these AFV policies can encourage AFV adoption, we show that net GHG emissions increase when both policies are present simultaneously. Specifically, we estimate changes in life cycle GHG emissions and gasoline consumption, relative to a pure federal fleet GHG standard (without AFV incentives or mandates), resulting from the introduction of (1) AFV incentives in federal fleet GHG policy, (2) state ZEV mandates, and (3) the combination of the two. We find that under fairly general conditions the combined AFV policies produce higher GHG emissions than either policy alone. This result is a consequence of state mandates increasing AFV sales in the presence of federal incentives that relax the fleet GHG standard when AFVs are sold. Using AFV sales projections from the Energy Information Administration and the California Air Resources Board, we estimate that the combined policies produce an increase on the order of 100 million tons of CO2 emissions cumulatively for new passenger cars sold from 2012 through 2025 relative to a pure GHG standard. AFV incentives in the GHG standard conflate policy goals by encouraging AFV adoption at the cost of higher fleet GHG emissions, and they permit even higher fleet GHG emissions when other policies, such as the ZEV mandate, increase AFV adoption.

Sustainable waste management through synergistic utilisation of commercial and domestic organic waste for efficient resource recovery and valorisation in the UK

The UK is facing tremendous challenges in tackling food waste diversion from landfill. Whilst much effort has been made to prevent food waste, there is still a lack of attention and strategic approach in dealing with resource recovery and valorisation of food waste. This paper presents a systematic framework for sustainable organic waste management and valorisation in the UK through (i) review of current policy framework; (ii) analysis of resource recovery potential from food waste at national, community and organisational levels; (iii) proposition of alternative waste management strategies; and (iv) examination of challenges and opportunities with respect to economic, environment and social dimensions of sustainability of waste management strategies. The paper explores valorisation of source-segregated food waste and mixed waste from the supermarket and households into electricity and transportation fuels, through partially and completely decentralised configurations using anaerobic digestion and gasification technologies. This study demonstrates a potential for reducing the cost of electricity and greenhouse gas emissions of one supermarket store by 12% when adopting partially decentralised food waste anaerobic digestion strategy, and full substitution of fossil fuel based electricity with net surplus renewable electricity generation through complete decentralisation of mixed waste gasification. Therefore, a more integrated, circular and advanced technological approach in waste management should be undertaken as it can lead to a wider range of socio-economic and environmental advantages to the local community, highly essential in the UK.

How American Rejectionism Undermines International Economic Law

The completion of the Trump Administration’s first two years is an appropriate moment to take stock of the United States of America’s aggressive international economic policies. The Trump Administration is carrying out a new form of American rejectionism powered by four horsemen of economic instability: first, the rejection of the international rule of law; second, the rejection of open markets; third, the rejection of economic peace in favour of perpetual economic war; and fourth, the rejection of the global interest. The analysis herein shows how these four rejectionist policies are harming the United States, other countries, and the global order. With respect to the global order, the article focuses on the World Trade Organization (WTO), regional trade agreements, and the Paris Agreement on Climate Change, and explains how the Trump Administration is attacking these important institutions. In doing so, the article challenges three widely-held assumptions. First, the article shows that in several important respects, American rejectionism did not begin with President Trump but rather was rooted in the economic policies of his recent Presidential predecessors, especially President Obama. Second, the article shows that far from being the leading scofflaw in the WTO, China is not acting nearly as irresponsibly as the United States does in its constant and flagrant violations of international trade law. Third, the article shows that the protectionist economic policies being pursued by the Trump Administration are unlikely to generate any short term gains for the US economy, and over time such policies will exact a loss for the US and global economy. Several recommendations are offered for ways to improve US policies going forward. Among them are: ceasing the US war against the WTO Appellate Body, reinvigorating international trade negotiations, working with other countries to develop rules for the transition of nonmarket economies, and seeking a critical-mass international agreement to impose carbon charges so as to internalise the costs of greenhouse gas emissions.

Comparative study of maximum power point tracking techniques for hybrid renewable energy system

ABSTRACTThe power generation demand is increasing day-by-day throughout the world, therefore, the use of hybrid systems becomes a significant solution. The hybrid renewable energy system (HRES) is used for delivering power in various regions in order to overcome intermittence of wind and solar resources. Because of increasing environmental problems, for example, greenhouse gas emission and energy cost have interested novel research into substitute methods in favour of electrical power generation. Maximum Power Point Tracking (MPPT) control method is a vast deal of novel research used for enhancing the efficiency of HRES. The authors have revealed that the hybrid techniques i.e. Global MPPT, fuzzy-neuro systems, Adaptive Neuro-Fuzzy Inference System (ANFIS), Perturbed and Observe (P&O) + Adaptive Neural Network (ANN) etc. can provide best results as compared to other MPPT control methods. This paper offering a state of art review of MPPT control techniques for HRES.

Energy, exergy, economic and environmental analysis and optimization of a novel biogas-based multigeneration system based on Gas Turbine-Modular Helium Reactor cycle

Biogas for supply of power plants can play a paramount role in reducing greenhouse gas emission and extra cost of a fossil fuel based plants. Regarding this aspect of biogas heat source, a novel biogas-based multigeneration system is proposed and modeled under privilege of first and second laws of thermodynamics, economic, and environmental perspectives. Furthermore, multi-criteria optimization of this integrated system is carried out from 4E (energy, exergy, exergoeconomic, and environmental) analysis standpoints. The introduced multigeneration system is able to produce optimum cooling capacity, heating capacity, net power, distilled water, and hydrogen of 123.59 MW, 0.73 MW, 280.35 MW, 18.14 kg/s, and 0.2432 kg/s, respectively. Under this circumstance, the thermal efficiency, exergy efficiency, unit product cost (UPC) of the system, and environmental penalty cost rate are calculated 72.75%, 50.21%, 6.79 $/GJ, and 168 $/h, respectively. Additionally, among all components, reactor core and among different sub-systems, the gas turbine-modular helium reaction (GT-MHR) cycle has the highest contribution to the overall exergy destruction. Finally, a complete sensitivity study based on key thermodynamic, thermoeconomic, and environmental parameters is performed and results are extended and discussed.

Developing commute optimization system to minimize negative environmental impacts and time of business commuters

The objective of this research is to develop a novel and innovative system, called Business+ Commute Optimization System (B+COS) that is capable of identifying the optimal selection of individualized commute alternatives of employees in a business to minimize their greenhouse gas (GHG) emissions, air pollution, and commute time. B+COS is designed to identify the optimal travel behavior for each commuter (e.g., drive car, carpool, use public transit, bike or walk) while maintaining convenience and incentivizing commuters using monetary incentives. The system consists of a geographical information system (GIS) and a multi-objective optimization model. The GIS is designed to measure and quantify business commute attributes such as emissions, commute cost, and time of each commute option. The multi-objective optimization model is designed to generate optimal trade-offs among two optimization objectives (1) minimizing equivalent social cost of GHG emissions and air pollution, and (2) minimizing total commute time of business commuters. Performance of the system is evaluated and verified using a case study of 21 commuters. Results show the capabilities of the new system in identifying Pareto-optimal solutions of the two optimization objectives for various tolerances of commute time increase ranging from 5 to 25 min. The promising results highlight the effectiveness of such an innovative system to minimize transportation-related emissions and commute time for businesses.

How to achieve less emissions from freight transport in Sweden

Purpose For the case of Sweden, this paper aims to determine how a range of different infrastructure fees and taxes influences modal split, port throughputs, air emissions, societal costs of greenhouse gas (GHG) emissions and air pollution, as well as logistics costs. Design/methodology/approach The Swedish national freight model is used to simulate a range of different proposed infrastructure fees, one by one and in combination. The volume of emissions of CO2-equivalents, NOx, SOx and PM under the different scenarios is calculated in both volume and monetary terms, by applying national emission factors and EU values for external costs. Findings Road user fees are calculated to have the largest impact on the modal split, GHG emissions and air pollution. The impact increases slightly when road user fees are combined with higher fees for sea and rail and/or gate fees in all Swedish ports. The imposition of gate fees over €30 per truck in all ports leads to shifts in cargo to land-based modes and to ports outside Sweden. The logistics costs in Sweden are found to be three to ten times higher than the benefits of reduced GHG emissions and air pollution, although other benefits to society need to be considered as well. Research limitations/implications Methods which attempt to evaluate alternative approaches to the internalisation of the external costs caused by transport need to be further developed. In particular, they need to encompass a more holistic perspective on “benefits to society”, other than merely reductions in GHG emissions and air pollution. To facilitate international acceptance and adoption, such methods require agreements to be reached on common definitions and routines. Practical implications The results can be used as basis for policy-making. They illustrate the environmental impacts of the fees and taxes one by one and in combination and to what extent these reinforce each other and should be co-ordinated. Social implications The outcomes are relevant to national and international policymakers and authorities, as well as port authorities, shippers and transport companies who need to determine unilateral strategies on how to reduce GHG emissions and air pollution, without undermining their wider business objectives. Originality/value The approach is original in facilitating the testing of policies which impact on the transport system and the environment across different dimensions. The work has additional value in informing policy because of its use of Sweden’s national freight transport model.

Comparison of Efficiency between Biogas Plant and Liquid Compost Plant Including the Use of Liquid Fertilizer: Estimation of Greenhouse Gas Emissions and Disposal Costs Using LCA

Comparison of Efficiency between Biogas Plant and Liquid Compost Plant Including the Use of Liquid Fertilizer: Estimation of Greenhouse Gas Emissions and Disposal Costs Using LCA

Reliability, economic and environmental analysis of a microgrid system in the presence of renewable energy resources

The application of renewable energy resources in a power system has received significant attention owing to the environmental impacts and fluctuations of fossil fuel prices. Consequently, renewable energy resources have become important sources to generate power at the commercial level due to their various benefits, coupled with the government incentives and public supports. This research work is focused on the evaluation of the reliability, economic and environmental benefits of renewable energy resources in a microgrid system. The lifecycle analysis of a microgrid system that consists of the photovoltaic, wind turbine generator, electric storage system and diesel generator is implemented in this study to test their commercial prospects in rural communities that have no access to electricity due to economic and technical constraints. The objective of this research work is to minimize the cost of energy, lifecycle cost, the annual cost of load loss and lifecycle greenhouse gas emission cost as well as to improve the overall benefit of green technologies in the proposed microgrid system. This objective is achieved by utilizing the basic probability concept to obtain the reliability performance indicators such as expected energy not served, loss of load expectation and loss of load probability, in addition to utilizing an fmincon optimization tool in the MATLAB environment to investigate the environmental and economic effects of renewable energy resources in a power system. The suitability of the model is tested on six case studies by using the same load profile, wind speed and irradiation of the site and diesel generator power capacity. The market factors such as interest rate and price of diesel fuel as well as forced outage rate, annual peak load variation and distributed generation penetration level are utilized to study their impacts on the operation of a microgrid system. The results obtained in this study demonstrate the optimal feasibility of renewable energy resources in a microgrid system. This indicates that it offers a significant reduction in the values of lifecycle cost, cost of energy, greenhouse gas emission cost and the annual cost of load loss when compared with case study 1. This research work shows that the utilization of green technologies in a microgrid system optimizes the reliability, cost savings, lifecycle cost and environmental impact. The technique adopted in the study can serve as a reference for rural electrification projects and solve socioeconomic problems that are associated with power outages.

Impact of incorporating greenhouse gas emission intensities in selection indexes for sow productivity traits

Genetic improvement programmes should incorporate emerging challenges about environmental concerns into breeding goals. The large volume of pig meat production implies important greenhouse gas (GHG) emissions despite its lower carbon footprint per animal in front of ruminant productions. The different breeding goals considered by swine industry depending on different purebred lines, or line crosses adapted to different market demands and production constraints, could mask the effect of incorporating GHG emissions into selection indexes for improving sow productivity traits in nucleus populations. This paper analysed this effect following a methodological approach consisting in augmenting existing selection indexes derived from profit functions. An index previously described in the literature including litter size at birth, piglet perinatal survival, piglet survival to weaning, age at first conception and weaning to conception interval, was employed. This index was expanded to include GHG emissions calculating the emission intensities per litter, assuming a finished pig market and different scenarios and financial costs of GHG emissions. Results indicated that the inclusion of GHG emissions diminished the economic weight of litter size and piglet survival vs. the age at first conception and the interval weaning to conception, but did not affect significantly the contributions of these traits in the selection indexes. The improvement of sow productivity traits diluted relevantly the GHG emissions per piglet produced, and so, per kg of pork produced. The approach used in this study, despite its limitations in front of bio-economic models, has shown to be a simple and flexible way to analyse the effect of incorporating GHG emissions into existing selection indexes.

Assessment of energy efficiency in buildings using synergistic walling material

Energy-efficient buildings assist in conserving energy and are currently prioritised due to increases in the cost of energy and greenhouse gas emissions. In this investigation, a low-thermal-conductivity walling material (bricks) was developed using co-fired blended ash (CFBA) for conserving energy in buildings. Physico-mechanical properties of the developed product were investigated according to Indian standards. Also, the thermal conductivity of the bricks was investigated. Building performance analysis was carried out with the help of a case study. Computational models for the single- (G), double- (G + 1) and triple- (G + 2) storeyed buildings were designed using the Autodesk Revit tool. The developed models were analysed for energy efficiency using building information modelling. With respect to fly ash bricks, the CFBA brick model estimated a 5% reduction in number of bricks as well as the dead load of the structure and resulted in peak cooling load reduction by 8, 11 and 15% for G, G + 1 and G + 2 storeyed buildings, respectively.

The economics of alternative crop production systems in the context of farmer participation in carbon trading markets

ABSTRACT Using scaled up data from an experimental farm platform in Scotland, we examined the relative economics of a conventional and a low-carbon integrated management system for two (otherwise identical) farms. By employing a novel market-based approach, we factored the market costs of greenhouse gas (GHG) emissions on the relative economics of both systems. Specifically, farmers are considered to be awarded emission credits in accordance with Scotland’s agricultural emissions reduction targets. Farmers are then considered to trade their net GHG emissions in an emissions trading scheme, with the integrated system expected to benefit from this arrangement due to its lower emissions. In further sensitivity analyses, we also considered the effect of premium pricing of integrated system crops on the relative economics of both systems. We find that in both the status quo and emissions trading scenarios, the conventional system is significantly more profitable. In the emissions trading scenario, an emissions price roughly three times the reported median prices over the last five years is required for the integrated system’s profitability to break-even with the conventional system. However, even at prevailing emissions prices, a 20% premium pricing of the integrated system crops enables near parity in the profitability of both systems. We conclude that in order to facilitate greater adoption of low-carbon systems, policies may be needed to encourage farmers’ realization of the cost of their externalities, in particular GHG emissions. At the same time, support should be given to a market system that recognizes premium prices for low-carbon system products.

Pathways to a fully sustainable electricity supply for Nigeria in the mid-term future

Ambitious actions focused on rapid defossilisation of today’s energy systems require greater urgency, in order to avert unmanageable impacts of climate change. Transitioning to a cost-effective and carbon-neutral energy system in Nigeria and across the globe by the second half of this century is vital. This study explores a paradigmatic pathway to a fully sustainable energy system for Nigeria, by 2050. The research approach is to simulate a cost-optimised transition pathway towards 100% renewable energy based power system for Nigeria, using a linear optimisation model. The model is based on hourly resolution for an entire year. The country researched is structured into 6 sub-regions. The optimisation for each of the 5-year time periods is carried out based on assumed costs and technological status until 2050 for all energy technologies involved. The levelised cost of electricity declines from 54 €/MWh in 2015 to 46 €/MWh in 2050 for the power sector in the Best Policy Scenario and further declines to 35 €/MWh with sector coupling. Whereas, the cost of electricity increased to 75 €/MWh in the Current Policy Scenario without greenhouse gas emission cost. The results clearly reveal that integrating a renewable energy technology mix with a wide variety of storage technologies is the most competitive and least cost electricity option for Nigeria in the mid-term future, as indicated by the Best Policy Scenario. In particular, the compatibility and predominant role of solar photovoltaics and batteries is paramount towards a rapid transition of Nigeria’s power sector, due to highly favourable economics. This study concludes with the implications of a stable and supportive policy environment, transitioning to a defossiliated energy system in Nigeria could be achieved in the mid-term future. This study is the first of its kind in full hourly resolution for Nigeria, and demonstrates the need for carrying out detailed analyses in examining gaps in energy transition understanding based on various policy constraints for developing countries in comparable climates.