Converting existing Internal Combustion Generator (ICG) systems into HESs in standalone applications

Perera, A.T.D.; Attalage, RA; Perera, K.K.C.K.; Dassanayake, Vpc

doi:10.1016/j.enconman.2013.05.022

Cited by 22 publications

(5 citation statements)

References 40 publications

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“…A polynomial mutation operator and a simulated binary crossover operator were used, along with differential evolutionary operators in the reproduction of the population. An extended explanation about the operators used for the optimization can be found in 45 . Net present value and grid integration level, introduced before, were used as the objective functions.…”

Section: Optimization Algorithmmentioning

confidence: 99%

Quantifying the impacts of climate change and extreme climate events on energy systems

et al. 2020

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Climate induced extreme weather events and weather variations will affect both energy demand and energy supply system resilience. The specific potential impact of extreme events on energy systems has been difficult to quantify due to the unpredictability of future weather events. Here we develop a stochastic-robust optimization method to consider both low impact variations and extreme events. Applications of the method to 30 cities in Sweden, by considering 13 climate change scenarios, reveal that uncertainties in renewable energy potential and demand can lead to a significant performance gap (up to 34% for grid integration) brought by future climate variations and a drop in power supply reliability (up to 16%) due to extreme weather events. Appropriate quantification of the climate change impacts will ensure robust operation of the energy systems and enable renewable energy penetration above 30% for a majority of the cities. 2According to the Fifth Intergovernmental Panel on Climate Change (IPCC) report, 1 climate change will most likely accelerate, causing increasingly frequent and strong extreme climate events that make humans, as well as built and natural systems, more vulnerable to those events. Failure to address climate change mitigation and adaptation could lead to disaster and serious short-and long-term issues, 2 including partial or total blackouts due to energy supply disruptions. 3 These consequences could be very costly to cities and urban areas. Currently, 3.5 billion people live in these areas, consuming two-thirds of global primary energy and producing 71% of the directly energy-related global greenhouse gas (GHG) emissions. By 2050, urban areas are expected to hold more than half of the world's population, which will multiply the costs and impacts. 4 Therefore, the urban sector plays an important role in both climate change adaptation and mitigation. Conserving energy and using renewable energy technologies in these areas will be essential to minimize the carbon footprint of the energy infrastructure. Distributed energy systems that support the integration of renewable energy technologies will support the energy transition in the urban context 5 and play a vital role in climate change mitigation and adaptation.Climate change affects the energy use of urban areas extensively, by influencing energy demand, generation, systems and infrastructure. 6,7 Renewable energy generation can be affected in various ways, too, depending on the renewable source (e.g., wind, hydropower or solar) 8,9 and geographical location. 10 Due to extreme weather events, impacts of climate change on peak electricity demand will reach well beyond simple changes in net annual demand and become more critical due to their influence on system design and power supply. 11,12 For example, Sweden's existing residential building stock may experience an approximate 30% decrease in 20-year average heating demand during 2081-2100 compared to 1991-2010, while during extreme conditions the hourly heating and cooling demand may reach betwe...

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Section: Optimization Algorithmmentioning

confidence: 99%

Quantifying the impacts of climate change and extreme climate events on energy systems

et al. 2020

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“…Further, this helps to amalgamate energy sources with higher seasonal 43 variation in energy potential [12], [13] with less impact to the grid. More importantly, this is the starting point of 44 minimizing the contribution of dispatchable energy sources based on fossil fuels, which makes existing energy 45 systems more eco-friendly and sustainable [10], [14]. However, optimum designing of such energy systems is a 46 challenging task.…”

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confidence: 99%

Electrical hubs: An effective way to integrate non-dispatchable renewable energy sources with minimum impact to the grid

et al. 2017

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9A paradigm change in energy system design tools, energy market, and energy policy is required to attain the target 10 levels in renewable energy integration and in minimizing pollutant emissions in power generation. Integrating non-11 dispatchable renewable energy sources such as solar and wind energy is vital in this context. Distributed generation 12 has been identified as a promising method to integrate Solar PV (SPV) and wind energy into grid in recent literature. 13Distributed generation using grid-tied electrical hubs, which consist of Internal Combustion Generator (ICG), non-14 dispatchable energy sources (i.e., wind turbines and SPV panels) and energy storage for providing the electricity 15 demand in Sri Lanka is considered in this study. A novel dispatch strategy is introduced to address the limitations in 16 the existing methods in optimizing grid-integrated electrical hubs considering real time pricing of the electricity grid 17 and curtailments in grid integration. Multi-objective optimization is conducted for the system design considering 18 grid integration level and Levelized Energy Cost (LEC) as objective functions to evaluate the potential of electrical 19 hubs to integrate SPV and wind energy. The sensitivity of grid curtailments, energy market, price of wind turbines 20 and SPV panels on Pareto front is evaluated subsequently. Results from the Pareto analysis demonstrate the potential 21 of electrical hubs to cover more than 60% of the annual electricity demand from SPV and wind energy considering 22 stringent grid curtailments. Such a share from SPV and wind energy is quite significant when compared to direct 23 grid integration of non-dispatchable renewable energy technologies. 24

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“…An illustrated explanation about the optimization algorithm and declaration of the decision space variables can be found in Ref. [14].…”

Section: Optimization Algorithmsmentioning

confidence: 99%

“…Furthermore, this has been extended considering more detailed states of operation where finite state theory is used to consider the operating condition of the system [8]- [11]. Both direct search [12], [13] and heuristic methods [9], [11], [14] are used to optimize these systems. In addition, dynamic optimization is used to optimize the operating condition of the system which is subsequently applied for determining the system configuration [15], [16].…”

Section: Introductionmentioning

confidence: 99%

Sensitivity of the dispatch strategy in designing grid integrated hybrid energy systems

Pereraa

Mauree

Scartezzini

et al. 2016

2016 IEEE International Energy Conference (ENERGYCON)

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Abstract-Integrating renewable energy technologies based on solar PV (SPV) and wind energy in the energy system is challenging due to time dependence of the energy potential for these energy sources. Grid integrated hybrid energy systems combining SPV panels, wind turbines, battery bank and internal combustion generators (ICG) can be used in this regard specially for distributed generation. Energy-economic dispatch strategy plays a vital role in managing the energy flow of the system. However, it is difficult to design such energy system due to complexity of the energy flow because of the changes in electricity demand, solar and wind energy potential. This study evaluates the sensitivity of dispatch strategy on optimum system configuration considering Levelized Energy Cost (LEC) and Grid Integration Level (GI). Two existing dispatch strategies i.e. cycle charging (CC) and modified cycle charging (MCC) dispatch strategies are used for the analysis based on Pareto multi objective optimization of LEC and GI. Pareto-fronts obtained considering both approaches were subsequently compared for different grid curtailments. The results show that a notable difference in LEC and system configuration is observed for two different approaches with the increase of grid interactions.

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Converting existing Internal Combustion Generator (ICG) systems into HESs in standalone applications

Cited by 22 publications

References 40 publications

Quantifying the impacts of climate change and extreme climate events on energy systems

Quantifying the impacts of climate change and extreme climate events on energy systems

Electrical hubs: An effective way to integrate non-dispatchable renewable energy sources with minimum impact to the grid

Sensitivity of the dispatch strategy in designing grid integrated hybrid energy systems

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