Abandoned oil and gas wells (AOGW) with high bottom-hole temperature contain abundant
geothermal energy, which can be retrofitted to a novel geothermal system for different …

Geothermal energy has significant potential to reduce fossil fuel consumptions and
environmental impacts. To improve energy conversion efficiency of geothermal energy …

In this study, the combination of artificial neural network (ANN) and non-dominated sorting
genetic algorithm II (NSGA-II) has been implemented for modeling and reducing CO and NO …

Efficient power generation from low to medium grade heat is an important challenge to be
addressed to ensure a sustainable energy future. Organic Rankine Cycles (ORCs) constitute …

A two-stage solution approach for solving the problem of multi-objective optimal power flow
(MOPF) is proposed for hybrid AC/DC grids with VSC-HVDC. First, a MOPF model for hybrid …

For the generation planning problem of grid-connected micro-grid system with photovoltaic
(PV) and energy storage system (ESS), taking into consideration of photovoltaic subsidy …

The energy transition towards a scenario with 100% renewable energy sources (RES) for
the energy system is starting to unfold its effects and is increasingly accepted. In such a …

This paper proposes two configurations of combined flash-binary geothermal systems for
simultaneous power production and water purification. The binary cycles which are …

Particle swarm optimization (PSO) is a population based stochastic optimization technique
developed by Dr. Eberhart and Dr. Kennedy in 1995, inspired by social behaviour of bird …

Binary geothermal power plants (GPP) always attract researchers' attention as they are
renewable-energy operated, low-temperature, high-performance, environmentally-friendly …