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[IEEE 2018 North American Power Symposium (NAPS) - Fargo, ND, USA (2018.9.9-2018.9.11)] 2018 North American Power Symposium (NAPS) - Effect of Solar PV Penetration on Residential Energy Consumption Pattern
摘要： The residential rooftop solar penetration in the U.S. has increased rapidly over the past few years. This increase, if not properly accounted for, can lead to operational and reliability challenges for the electric power industry in the form of under-utilization of available energy, increase in costs, and reduction in environmental benefits, as demonstrated by the California Independent System Operator (CAISO) Duck Curve. The authors of this paper had previously developed a bottom-up approach for computing season-wise household-level residential energy consumption profiles using a synthetic population resource. In this paper, that model is enhanced to account for the effects that increasing percentages of rooftop solar penetration can have on the residential energy demand profiles of different regions. This information will be very useful to electric power utilities because it will help them efficiently manage the increasing numbers of residential rooftop solar installations in their supply areas.
关键词： rooftop solar photovoltaic (PV),synthetic population,residential energy consumption,Energy demand modeling,seasonal variation
更新于2025-09-23 15:22:29
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Uncertainty analysis of energy and economic performances of hybrid solar photovoltaic and combined cooling, heating, and power (CCHP?+?PV) systems using a Monte-Carlo method
摘要： This study examines the impacts of uncertainties in energy demands and solar resources on the energy and economic performances of hybrid solar photovoltaic and combined cooling, heating and power (CCHP + PV) systems with variations in PV penetration levels. This study investigates two models: a deterministic and stochastic model. The deterministic model uses hourly demands of the U.S. Department of Energy (DOE) reference large office building in San Francisco, CA and solar irradiance profiles in the Typical Meteorological Year (TMY) data as the independent variables. The stochastic model accounts for uncertainties in these independent variables using a Monte-Carlo method. The results show that regardless of PV penetration levels, the uncertainties in building energy demands and solar irradiance marginally influence the energy performance of CCHP + PV systems; however, they can notably increase annual operating costs up to $75,000 per year (13%). The annual cost increase is mainly attributed to a significant increase in demand charges (up to $79,000 per year). The demand charges tend to increase with higher uncertainties in the peak demand. The results suggest that in cases of the demand charge being responsible for a large portion in electricity bills (i.e., demand tariffs), a deterministic model tends to underestimate operating costs of CCHP + PV systems or other analogous distributed energy systems compared to a stochastic model. The errors with the deterministic model can become more extreme when demand charges outweigh energy charges.
关键词： Demand charge,U.S. DOE reference building,Tariff structure,Energy demand,Internal combustion engine,Combined heat and power
更新于2025-09-16 10:30:52
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[IEEE 2019 Third International Conference on Intelligent Computing in Data Sciences (ICDS) - Marrakech, Morocco (2019.10.28-2019.10.30)] 2019 Third International Conference on Intelligent Computing in Data Sciences (ICDS) - Feasibility study of Grid connected Photovoltaic system for electricity generation with peak demand deficit
摘要： Due to great interest in the development of renewable energy technologies in Morocco, this paper studied the performance of a solar photovoltaic grid-connected system located in Rabat, Morocco. Firstly a demand side management strategy has been developed to maximize energy efficiency of the system using a load shifting day-ahead approach. In the second part, an examination of resulted load requirement using a simulation model based on HOMER software is carried out. The analysis of the results has shown that the proposed model is an effective and feasible tool of electricity generation.
关键词： Smart Grid,Optimal generation,Load shifting,Renewable energy,Demand Side Management
更新于2025-09-16 10:30:52
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Metal Oxides in Energy Technologies || Solar-driven fuel production by metal-oxide thermochemical cycles
摘要： Nowadays, the need to reduce anthropogenic emissions of greenhouse gases due to combustion of fossil fuels causing the increase of global average surface air temperatures and the need to meet an expanding global energy demand are the most pressing challenges faced by mankind [1, 2]. Solar energy, which is clean, renewable, plentiful, and distributed, offers an intelligent solution to both challenges [1]. One promising approach to harvest and store solar energy is the production of synthetic fuels, that is, solar-driven fuel, via high-temperature thermochemical processes. Solar-driven fuel has significant advantages for long-time storage and/or long-distance transportation of energy [3, 4]. It not only is an appealing supplement or alternative to fossil fuels, but also has the potential to alleviate concerns environment, security, and price volatility, which are associated with the production, transportation, and consumption of fossil fuels, especially imported petroleum [5].
关键词： Solar-driven fuel production,energy demand,metal-oxide thermochemical cycles,solar energy,synthetic fuels,greenhouse gases
更新于2025-09-10 09:29:36