Eliminating fossil fuel as early as possible and electrifying everything by green sustainable electric power are some of the primary solutions for tackling the climate emergency. Solar electricity generated by photovoltaics is now the cheapest source of electric power generation. The cost of electrochemical storage batteries is plummeting and the combination of photovoltaics and batteries at a utility scale can provide a lower cost than electrical power generated by fossil fuel in many parts of the world. Thus, today, we nearly have a solution in sustainable green electrical power generation and storage. Globally, we have adopted alternating-current electric power infrastructure over direct-current power due to the invention of the transformer. However, due to the advancements in power electronics and loads based on semiconductors, the situation is totally different today. Except for induction motors running at rated speed, all loads using variable-frequency drive are direct-current loads. Photovoltaics, batteries, and virtually all loads are based on direct-current power. Considering power generation, transmission, distribution, and utilization as a single entity, we are wasting a large amount of power by using our alternating-current power electricity infrastructure. By using end-to-end direct-current power networks, we can save energy and capital investment in electricity infrastructure as well as the cost of the loads, as compared to the existing power infrastructure. Based on an end-to-end direct-current power network, a new concept for community solar is proposed in this paper. Without connecting to the existing grid, community solar can provide 24 × 7 electric power to residents. The proposed infrastructure concept can also have a transformative role in areas which are providing very high growth of green electric power. This concept can have an immediate profound impact on any new constructions in most parts of the world.

Dynamics between the obstacles of business environment and firm performance in Bangladesh: Survey-based empirical insights using ML algorithms.

The nexus of electricity infrastructure investment, household income, and carbon emissions in rural China

Abstract This study analyzes the effect of energy poverty on environmental quality for a sample of 43 countries in sub‐Saharan Africa. We specify and estimate a linear panel data model for the period 2000–2021, using fixed effects and the Driscoll‐Kraay method. The results show that access to electricity and clean energy for cooking have a positive and significant effect on deforestation and carbon emissions. Taking into account non‐linear analysis, we find that there is an inverted U‐relationship between energy indicators and environmental quality, thus, verifying the hypothesis of the Kuznet environmental curve. Thus, access to electricity and access to clean cooking energy improve environmental quality from a threshold. For the resolution of endogeneity, Lewbel 2SLS, the Kiviet method and S‐GMM were used. In addition, analysis of the sample data using a structural equation model (PLS‐SEM) shows that energy indicators pass through various channels to affect environmental quality. Therefore, based on these results, we recommend increasing investments in electricity infrastructure, especially in clean decentralized energy, in order to reduce deforestation and, therefore, CO2 emissions.

Effectively mitigating climate change entails a quick upscaling and redirection of electricity infrastructure investment towards clean power. Given that the bulk of greenhouse gas emissions increases until 2050 will come from low- and middle-income countries, finding cost-effective ways to mitigate climate change while meeting development targets is essential. However, recent research has shown some of the limitations of broad financing mechanisms, such as the Clean Development Mechanism (CDM) and existing carbon markets. This has resulted in a growing interest in designing novel investment support schemes, such as modifications of feed-in tariffs (FiTs) that may be more cost effective and better targeted towards particular outcomes when compared to traditional deployment subsidies or broad financing mechanisms. We evaluate the design and outcomes of one such novel support schemes: the GET FiT (Global Energy Transfer Feed-in Tariff) investment support scheme in Uganda, which has attracted ~ 453 million USD in private sector investment for 17 small-scale renewable energy projects (solar, hydro, bagasse) in only three years. Using financial modelling on detailed project-level data, we find that most projects were additional and would therefore not have been built without the subsidy. In addition, using firm-level panel data, we show that power outages hamper manufacturing performance in Uganda. In the absence of reliable outage-data for the entire Ugandan territory, we use nightlight variations to proxy changes in outages. We show that outages have declined substantially since the introduction of GET FiT. Yet, our analysis also demonstrates that programmes to incentivise additional renewable generation in developing countries funded internationally or domestically should liaise closely with grid authorities to ensure that supply does not outstrip demand.

This article examines the empirical relationship between electricity consumption, economic growth, energy prices and technology development for India by taking annual time series data from 1981 to 2017. By using the ARDL bounds testing approach to co-integration, the study found long-run equilibrium relationship does exist among the variables. The article reports the existence of positive and significant impact of economic growth on electricity consumption, whereas technological development negatively affects electricity consumption in both the long run and short run. The Granger causality results reveal the presence of unidirectional causality from economic growth and technological development to electricity consumption in India. Therefore, the present study suggests policy makers in India to increase investment in electricity infrastructure to support high economic growth in the country. Further, the policy makers and the government should encourage more technological innovation to minimise usage of fossil fuels and support the use of green energy. This action could help the economy achieve a sustainable economic growth with better environmental quality. JEL Codes: C22, O4, O13, Q43, Q48

Maintaining reliability for electrical distribution systems that support processing facilities is a constant challenge due to aging equipment and other factors. Upgrades and replacements require significant engineering, extensive capital, scheduling, and shutdowns. Investment in electrical infrastructure is often marginalized and only addressed upon an unplanned failure or necessary expansion. Without an overall comprehensive strategy, it is difficult to ensure that these expenditures meet the facility?s business objectives and contribute to long-term value. An electrical reliability plan (ERP) is a tool that helps align business strategy with capital investment.

Para la Empresa Eléctrica Quito identificar el comportamiento futuro de sus variables de demanda de energía constituye una acción fundamental, ya que, a partir de esta, la empresa planifica su inversión en infraestructura eléctrica. Para atender a esta problemática, el presente estudio tiene como objetivo pronosticar la demanda en energía y potencia del Sistema Eléctrico Quito en el mediano plazo. Para esto, se desarrolla un modelo predictivo fundamentado en la metodología Box-Jenkins. Los resultados obtenidos muestran que las estructuras propuestas para modelar las series de demanda en potencia y energía (suministro y facturación) tienen un mejor ajuste que el modelo determinista utilizado actualmente por la empresa.

Pricing electricity blackouts among South African households

Solar PV where the sun doesn’t shine: Estimating the economic impacts of support schemes for residential PV with detailed net demand profiling

Electrification Ratio in East Java (Indonesia) has reached 86.67% at the end of 2015 due to in Madura island only 60.55% who have received electricity supply from PLN. The topography of Madura which far-flung distances per village, as well as the small number of households in the village are being constraint in build up the electricity infrastructure investment. The main problem in electrical operating system is how to meet the demand and supply of electric power by maintaining the continuity of effective and efficient services to PLN customers. These problems would take a long-term solution in electrical system which is able to increase the role of renewable energy, improve the reliability, safety and efficiency, reduce energy costs, and can recover quickly from interruptions. Effective and efficient electrical operational systems in real time is expected to improve the sustainability of supply electric power. The Dynamic System method is used to analyze the electrical operating system by developing a scenario model to identify the factors and variables that affect the system, to be use-full as consideration in taking strategic policy in operational PLN

This paper reviews the existing Chinese rural residential electricity price policies, including their features and forming foundations, then analyses the main factors affecting the current Chinese rural residential electricity price by considering electricity generation, transmission and demands, respectively. With the gray relational analysis and the statistical data, the key factors currently affecting Chinese rural residential electricity price can be given as: the average of air conditioners per household, the average lending rates, rural residential per capita net incomes, natural gas price, price of coals for power generation, per capita electricity consumptions in daily life, total electricity consumption, total electricity production, electricity infrastructure investment and cross-subsidies in the electricity sector. Furthermore, the conduction path of the key factors influencing and deciding the electricity price is analyzed and a cause-effect diagram is produced with system dynamics software.

Investment, security of supply and sustainability in the aftermath of three decades of power sector reform

Household energy mix in Uganda

Exploring the nexus of electricity consumption, economic growth, energy prices and technology innovation in Malaysia

Performance evaluation of eight contemporary passive solar homes in subtropical Australia

The electrical sector has become highly competitive introducing new levels of uncertainty. In response to this situation, assessment methods and investment projects need to evolve in order to incorporate different uncertainties in the planning process and to consider adequately the multiple objectives of a competitive environment. This paper discusses an analysis method which possesses the above mentioned characteristics taking an approach based on real options, which permits the evaluation of investment alternatives in multi-objective applications to be made. This provides project administrators with a tool to decide which objectives need higher consideration within the planning process. The method proposed is applied to a case study on a Mexican electricity system and considers the objectives for maximising economic profit while minimis-ing economic loss due to reliability and power quality issues in the electricity supply.

On the dynamics of aggregate output, electricity consumption and exports in Malaysia: Evidence from multivariate Granger causality tests

Climate policy is driving an extensive deployment of wind generation in the Irish electricity market. This study evaluates the cost of increasing wind generation both to the system as a whole and to consumers for 2020. We consider different scenarios on fuel and carbon-dioxide permit prices and the extent of electricity interconnection with Great Britain. For a small and isolated electricity system such as Ireland, a high penetration of wind is economically sound only with increased interconnection to Great Britain, since wind generation would otherwise be curtailed. Not surprisingly, for low fuel prices the least-cost scenario contains low levels of wind generation whereas the opposite is true for high fuel prices. The findings highlight the importance of interconnection and its operation and governance.

Relationship between the economic cost and the reliability of the electric power supply system in city: A case in Shanghai of China