Volume 7, Issue 6, December 2023

The biomass in empty palm fruit bunches (EFBs) is a potential solid fuel. Pretreatment is necessary to increase the heating value and reduce the potassium content of EFBs. Drying, torrefaction and leaching are reviewed for effectiveness in pretreating EFBs for use as a fuel.

In a small-scale coal gasification process, a granular filter bed is used as a dedusting system to purify crude synthesis gas. This paper innovatively uses a vibrating filter bed to regenerate and recycle the dust-containing filter medium from the dedusting system.

Artificial intelligence techniques can be used to resolve system frequency changes, maintain the voltage profile to minimize transmission losses, reduce the fault rate and minimize reactive current in distributed systems to increase the power factor and improve the voltage profile.

This paper uses existing parameter extraction methods and the latest metaheuristic algorithms to solve the problem of the nonlinearity, multivariable and multimode of photovoltaic cell dual diode model parameters. Seventeen algorithms are compared against experimental data for predicting cell parameters.

The influence of geometry on the performance of solar thermoelectric generators and thermoelectric coolers is investigated using finite element analysis. The effective heat flow area varies depending on the chosen geometry, thus impacting the heat flux due to the variation in thermal resistance.

An economically feasible hybrid renewable energy system based on solar and wind energy is designed for an Indonesian village that currently has low access to electricity. Conceptual schemes are developed to meet the demand for electricity from the residential, community, commercial and productive sectors of the village.

A comprehensive analysis of the application of machine learning applied to electric vehicle battery management is presented, emphasizing state prediction and ageing prognostics with the aim of characterising and predicting the state-of-health and remaining useful life of batteries.

A holistic energy audit is conducted for a university building in Malaysia to diagnose energy efficiency deficiencies, identify areas of energy waste and propose practical retrofit measures. Individual measures identified can achieve annual energy reductions ranging from 2% to 18%, with a cumulative impact of 41% reduction.

The architecture and techno-economic assessment of a grid-tied hybrid microgrid for Urir Char, in southern Bangladesh, is analysed. A predictive load-shifting-based demand management scheme is also introduced. A system comprising a PV array, wind turbine and energy storage system is found to be the best fit.

Heat transfer in a mixed-mode forced-convection solar dryer is improved by adjusting the air flow pattern to disturb the thermal boundary layer on the absorber plate under forced convection. Experiments are conducted under actual conditions using bananas as the drying sample.

Six significant areas of sustainable energy development practices for Mozambique are evaluated.It is crucial to introduce more policies to support the effectiveness of renewable energy systems while involving the private sector. Measures such as reducing investment risks, guaranteeing investment returns and establishing a transparent regulatory framework are required.

Data science with machine-learning tools predicts the solar incidence in four cities in Amazonas state, Brazil, using data from NASA satellites for the period of 2013–22. The lack of data from ground stations makes satellite data valuable in the economic assessment of solar energy in the Amazon basin.

Optimization of power flow management in a hybrid AC/DC microgrid is modeled as an energy management system driven by particle swarm optimization. The proposed energy management system has dual objectives: minimizing costs and reducing greenhouse gas emissions.

The Shapley value method is applied for benefit allocation in an integrated energy system with electricity, gas, heat and hydrogen loads. The cooperative mode enhances the economic benefits of the system as a whole and, individually, and provides a useful reference for the allocation of benefits of integrated energy systems.

Thailand’s power sector is modelled using PLEXOS software to find the impact of high penetration of variable renewable energy and EV charging loads for the projected year 2030. A demand–response and energy storage system solution approach with carbon pricing is proposed.