Artificial intelligence assisted technoeconomic optimization scenarios of hybrid energy systems for water management of an isolated community

Hourly comparative assessment of photovoltaic thermal collector subjected to nanofluid for complete year: A case study of major cities in Pakistan

“… Using Ag/water nanofluid with high concentration Nanofluid can increase the level of useful heat gain along with increasing photovoltaic power. Using Ag/water nanofluid working fluid instead of pure water can reduce the level of wasting water level in some areas where it faces drinking water shortage currently such as Karachi and Baluchistan where it has a high level of solar radiation capability, and it is the main source of Pakistan economy. Using Ag/water nanofluid at a mass flow rate of 0.015kg/s the maximum useful heat gain is 16.36 kW at a monthly average solar radiation intensity of Karachi city which is a high amount of heat energy for daily purposes, using a mass flow rate of 0.02kg/s the useful heat gain is 12.27 kW while using a mass flow rate of 0.025kg/s and at a mass flow rate of 0.03kg/s the amount of useful heat gain is about to 9.82 and 8.18 kW respectively. Using monthly average solar radiation intensity of Peshawar city with different concentrations of Ag/water nanofluid can achieve the highest level of useful heat gain among all five cities which is selected in this research as climate conditions, the amount of useful heat produced from 17.49 to 16.7 kW respectively. It is observed that both thermal and electrical performance of photovoltaic thermal collector improves using Ag/water nanofluid instead of pure water as discussed in the result and discussion chapter. It is also observed that the access viability of a PV/T thermal collector for other similar locations in the global climate such as the Pakistan climate condition is suitable. The proposed model and methodology can be used as a base model for an extensive digital twin (Tariq et al, 2020; Tariq et al, 2021a). …”

“…It is also observed that the access viability of a PV/T thermal collector for other similar locations in the global climate such as the Pakistan climate condition is suitable. The proposed model and methodology can be used as a base model for an extensive digital twin (Tariq et al, 2020; Tariq et al, 2021a).…”

Deep learning artificial intelligence framework for sustainable desiccant air conditioning system: Optimization towards reduction in water footprints

“…In this case, for both performance indicators, BRA came out to be the backpropagation technique with the highest statistical performance including Coefficient of Determination (R 2 ), Root-Mean-Square-Error (RMSE), MSE, and Mean-Absolute-Percentage-Error (MAPE). The experimental dataset was small and had a noisy behavior and literature has also shown that BRA is the most suitable for such a characteristic of the input data [45].…”

Social and Techno-Economic Feasibility Study for The Implementation of An Educational Services Center in The Dominican Republic: Perspectives from A Comprehensive Methodology

“…Before decision-making, the Pareto front can be used to highlight situations where the objective functions are non-dimensionalized. In this work, The Order of Preference by Similarity to Ideal Solution (TOPSIS) method was considered, where the relative distance (Di + , Di -) ) of each possible solution (f i )) are calculated considering the ideal and non-ideal solutions (Tariq et al, 2021). TOPSIS is based on two relative distances calculated for each alternative criterion in terms of the ideal and non-ideal solutions.…”