We compile a detailed road transport inventory for greenhouse gases and air pollutants to explore energy emissions from alternative policy scenarios for the Kenya road transport sector. In 2010, road transport emissions accounted for 61% of total nitrogen oxides emissions in Kenya, 39% of fine...

This article aims to study the regional development of renewable energies (RE) in France over the period 1990-2015. As a first step, Principal Component Analysis was used on the collected data, which led to a classification of RE's development into four sub-periods. The first two sub-periods...

Long-term energy demand forecasting is crucial for any country, in particular for developing countries with rapid developments of energy needs. This study focuses on Ethiopia, a country with a highly increasing energy demand resulting mainly from the currently low share of electricity access,...

Electrical sustainability is a foundation for urbanization and industrialization. Over the past three decades, Pakistan has been convulsed by electricity shortages that at times have reached over 10-15% of total demand; Therefore, we initiated an effort to explore and understand recurrent energy...

The propagation of the COVID-19 pandemic, and the associated measures taken by many countries to slow down the spread of the disease, has significantly affected all aspects of people's lives, including the global energy sector. This study aims to investigate the impact of the pandemic on the...

Here we present a method to combine half-hourly publicly available electrical generation and interconnector operational data for Great Britain to create a timeseries that approximates its electrical demand. We term the calculated electrical demand ‘ESPENI’ that is an acronym for Elexon Sum...

Oxy-fuel combustion is one of the clean coal combustion technologies for CO2 capture. However, post-combustion capture is studied as a challenged technology against oxy-fuel combustion. This paper presented the life cycle assessment (LCA) of these two CO2 capture technologies used in the 300 MW...

Energy modeling and forecasting are key to providing insightful energy-related policy decisions that could propel positive economic growth and sustainable development. In this study, the Non-Linear Autoregressive Exogenous Neural Networks (NARX) and Multiple Non-Linear Regression (MNLR) models...

This study examined the impact of movement control order (MCO) due to the COVID-19 pandemic on Household Electrical Appliance Consumption Levels [HEACL] across Malaysia before, during and after the MCO, and the likelihood of the pandemic quickening household conduct towards use of energy saving...

This study contributes to the literature on energy demand by developing a theoretical framework, in which energy demand is a function of total factor productivity (TFP) alongside traditional factors such as price and income. The proposed theoretical framework is examined using annual data on...