scholarly journals How Does the Electricity Demand Profile Impact the Attractiveness of PV-Coupled Battery Systems Combining Applications?

Energies ◽  
2020 ◽  
Vol 13 (15) ◽  
pp. 4038 ◽  
Author(s):  
Alejandro Pena-Bello ◽  
Edward Barbour ◽  
Marta C. Gonzalez ◽  
Selin Yilmaz ◽  
Martin K. Patel ◽  
...  
Keyword(s):  
Net Present Value ◽  
Electricity Consumption ◽  
Lithium Ion ◽  
Pv System ◽  
Peak Shaving ◽  
Load Profile ◽  
Battery Systems ◽  
Residential Electricity ◽  
Electricity Load ◽  
Demand Profile

Energy storage is a key solution to supply renewable electricity on demand and in particular batteries are becoming attractive for consumers who install PV panels. In order to minimize their electricity bill and keep the grid stable, batteries can combine applications. The daily match between PV supply and the electricity load profile is often considered as a determinant for the attractiveness of residential PV-coupled battery systems, however, the previous literature has so far mainly focused on the annual energy balance. In this paper, we analyze the techno-economic impact of adding a battery system to a new PV system that would otherwise be installed on its own, for different residential electricity load profiles in Geneva (Switzerland) and Austin (U.S.) using lithium-ion batteries performing various consumer applications, namely PV self-consumption, demand load-shifting, avoidance of PV curtailment, and demand peak shaving, individually and jointly. We employ clustering of the household’s load profile (with 15-minute resolution) for households with low, medium, and high annual electricity consumption in the two locations using a 1:1:1 sizing ratio. Our results show that with this simple sizing rule-of-thumb, the shape of the load profile has a small impact on the net present value of batteries. Overall, our analysis suggests that the effect of the load profile is small and differs across locations, whereas the combination of applications significantly increases profitability while marginally decreasing the share of self-consumption. Moreover, without the combination of applications, batteries are far from being economically viable.

scholarly journals Photovoltaic Systems and Net Metering in Greece

2018 ◽  
Vol 8 (4) ◽  
pp. 3168-3171
Author(s):  
F. Mavromatakis ◽  
G. Viskadouros ◽  
H. Haritaki ◽  
G. Xanthos
Keyword(s):  
Net Present Value ◽  
Electricity Consumption ◽  
Electrical Energy ◽  
Internal Rate Of Return ◽  
Pv System ◽  
Local Loads ◽  
Electricity Bill ◽  
Net Metering ◽  
Cost Of Energy ◽  
Electrical Consumption

The latest measure for the development of photovoltaics in Greece utilizes the net-metering scheme. Under this scheme the energy produced by a PV system may be either consumed by the local loads or be injected to the grid. The final cost reported in an electricity bill depends upon the energy produced by the PV system, the energy absorbed from the grid and the energy injected to the grid. Consequently, the actual electricity consumption profile is important to estimate the benefit from the use of this renewable energy source. The state latest statistics in Greece for households reveal that the typical electrical consumption is 3750 kWh while 10244 kWh are consumed in the form of thermal energy. We adopt in our calculations the above amount of electrical energy but assume four different scenarios. These different hourly profiles are examined to study the effects of synchronization upon the final cost of energy. The above scenarios are applied to areas in different climate zones in Greece (Heraklion, Athens and Thessaloniki) to examine the dependence of the hourly profiles and the solar potential upon the financial data with respect to internal rate of return, payback times, net present value and the levelized cost of energy. These parameters are affected by the initial system cost and the financial parameters.

scholarly journals Synthesising Residential Electricity Load Profiles at the City Level Using a Weighted Proportion (Wepro) Model

Energies ◽  
2020 ◽  
Vol 13 (14) ◽  
pp. 3543
Author(s):  
Angreine Kewo ◽  
Pinrolinvic D. K. Manembu ◽  
Per Sieverts Nielsen
Keyword(s):  
Energy Consumption ◽  
Energy Use ◽  
Labour Force ◽  
Large Energy ◽  
Load Profile ◽  
Simplified Approach ◽  
Residential Electricity ◽  
Electricity Load ◽  
The City ◽  
Weighted Proportion

It is important to understand residential energy use as it is a large energy consumption sector and the potential for change is of great importance for global energy sustainability. A large energy-saving potential and emission reduction potential can be achieved, among others, by understanding energy consumption patterns in more detail. However, existing studies show that it requires many input parameters or disaggregated individual end-uses input data to generate the load profiles. Therefore, we have developed a simplified approach, called weighted proportion (Wepro) model, to synthesise the residential electricity load profile by proportionally matching the city’s main characteristics: Age group, labour force and gender structure with the representative households profiles provided in the load profile generator. The findings indicate that the synthetic load profiles can represent the local electricity consumption characteristics in the case city of Amsterdam based on time variation analyses. The approach is in particular advantageous to tackle the drawbacks of the existing studies and the standard load model used by the utilities. Furthermore, the model is found to be more efficient in the computational process of the residential sector’s load profiles, given the number of households in the city that is represented in the local profile.

scholarly journals Data on the daily electricity load profile and solar photovoltaic (PV) system components for residential buildings in Lagos, Nigeria

Data in Brief ◽  
2020 ◽  
Vol 30 ◽  
pp. 105531 ◽  
Author(s):  
Kevin Enongene Enongene ◽  
Fonbeyin Henry Abanda ◽  
Iduh Jonathan Joseph Otene ◽  
Sheila Ifeakarochukwu Obi ◽  
Chioma Okafor
Keyword(s):  
Residential Buildings ◽  
Solar Photovoltaic ◽  
Pv System ◽  
Load Profile ◽  
System Components ◽  
Electricity Load

Simulation and Optimization of Residential Grid-Connected PV System in Queensland, Australia

2011 ◽  
Vol 347-353 ◽  
pp. 715-724 ◽  
Author(s):  
Gang Liu ◽  
M. G. Rasul ◽  
M. T. O. Amanullah ◽  
M. M. K. Khan
Keyword(s):  
Carbon Dioxide Emission ◽  
Energy Resource ◽  
Electricity Consumption ◽  
Weather Conditions ◽  
Solar Irradiation ◽  
Pv System ◽  
Simulation And Optimization ◽  
Residential Electricity ◽  
Resource Data ◽  
System Life

The use of solar photovoltaic (PV) in residential electricity generation is encouraged by Australian governments incentive. However, what extent of residents benefit from installing a grid-connected PV system is not fully understood yet. The purpose of this study is to investigate and optimize the economic, technical and environmental performance of grid-connected PV system in Queensland, Australia. Using the price of PV devices and accessories, grid electricity tariff and sale-back tariff as economic analysis inputs, and global solar irradiation as solar energy resource data, the system is simulated and optimized by HOMER software. The optimized system not only satisfies the typical residential load of 23 kWh per day but also meet the requirement of minimizing the total costs of system investment and electricity consumption during the system life (20 years). It is found that under the weather conditions of the eleven main cities of Queensland, a PV system is an effective way to reducing electricity bills and mitigating carbon dioxide emission.

scholarly journals Analysis of Grid Tied Solar Rooftop System: A Case Study on Stars Homes, Sitapaila, Nepal

2021 ◽  
Vol 6 ◽  
pp. 61-74
Author(s):  
Milana Prajapat ◽  
Bharat RajPahar ◽  
Shree Raj Shakya
Keyword(s):  
Lithium Ion ◽  
Life Time ◽  
Interactive System ◽  
Type I ◽  
Solar Pv ◽  
Pv System ◽  
Peak Shaving ◽  
Battery System ◽  
Residential Sector ◽  
Total Potential

Most of the nation demand is from the residential sector. Thus, the objective of this paper is to supply the required energy from the same demand point from the solar PV installed in the residential sector that is technically feasible for the given sector. The survey is conveyed on Star Homes(Residential Sector) situated at Sitapaila, Kathmandu. The total potential for installation of PV on useable areas of the rooftop of Stars Homes is calculated to be 253.2 kWp. For the comparative analysis in this paper, the isolated PV system is designed/ analysed using PV-SYST and the grid tied PV including/excluding battery is designed/analysed using SAM(System Advisory Model) software for one of the Type 1 home with annual demand of 2208 kWh. In grid interactive PV system with battery, the peak shaving and backup power during outage is facilitated and also the excess energy is supplied to the grid as well.Theenergy generated from the designed system for type I system with 3.9 kWp grid tied system is 6483 kWh and with 3.9 kWp grid interactive system with battery size of 5.2kWh Lithium Ion is 6454 kWh annually. Similarly, energy generated from designed system of standalone with 1.62 kWp PV and battery size26V, 322Ah system is 3066.6 kWhannually out of which 795kWh is lost annually due to full battery charged conditions. The LCOE considering 25 years life time with 7.5 % loan interest for 15 years for type I with standalone system is 21 cents/kWh, grid tied PV system is 4.94 cents/kWh and with grid tied PV battery system is 6.73 cents/kWh. The peak shaving obtained from the grid tied with battery system compared to the grid tied system is 0.8 kW. The net saving on electricity bill for grid tied system is 516$ and for grid tied system with battery is 526$ annually considering net metering.

scholarly journals Load Profile-Based Residential Customer Segmentation for Analyzing Customer Preferred Time-of-Use (TOU) Tariffs

Energies ◽  
2021 ◽  
Vol 14 (19) ◽  
pp. 6130
Author(s):  
Minseok Jang ◽  
Hyun-Cheol Jeong ◽  
Taegon Kim ◽  
Sung-Kwan Joo
Keyword(s):  
Dynamic Pricing ◽  
Mixed Logit ◽  
Electricity Consumption ◽  
Information Criterion ◽  
Gaussian Mixture ◽  
Optimal Number ◽  
Customer Segmentation ◽  
Smart Meters ◽  
Load Profile ◽  
Residential Electricity

Smart meters and dynamic pricing are key factors in implementing a smart grid. Dynamic pricing is one of the demand-side management methods that can shift demand from on-peak to off-peak. Furthermore, dynamic pricing can help utilities reduce the investment cost of a power system by charging different prices at different times according to system load profile. On the other hand, a dynamic pricing strategy that can satisfy residential customers is required from the customer’s perspective. Residential load profiles can be used to comprehend residential customers’ preferences for electricity tariffs. In this study, in order to analyze the preference for time-of-use (TOU) rates of Korean residential customers through residential electricity consumption data, a representative load profile for each customer can be found by utilizing the hourly consumption of median. In the feature extraction stage, six features that can explain the customer’s daily usage patterns are extracted from the representative load profile. Korean residential load profiles are clustered into four groups using a Gaussian mixture model (GMM) with Bayesian information criterion (BIC), which helps find the optimal number of groups, in the clustering stage. Furthermore, a choice experiment (CE) is performed to identify Korean residential customers’ preferences for TOU with selected attributes. A mixed logit model with a Bayesian approach is used to estimate each group’s customer preference for attributes of a time-of-use (TOU) tariff. Finally, a TOU tariff for each group’s load profile is recommended using the estimated part-worth.

scholarly journals Efficient Electricity Management System for Optimal Peak/Off-Peak Hour Pricing

Electronics ◽  
2020 ◽  
Vol 9 (8) ◽  
pp. 1189
Author(s):  
Naresh Bandari ◽  
Kummara Venkata Guru Raghavendra ◽  
Sujin Heo ◽  
Seelam Vasavi Sai Viswanada Prabhu Deva Kumar ◽  
Waqar Uddin ◽  
...  
Keyword(s):  
Renewable Energy ◽  
New Technologies ◽  
Electricity Consumption ◽  
Solar Pv ◽  
Efficient Utilization ◽  
Pv System ◽  
The Sustainable Development ◽  
Residential Electricity ◽  
Development Goals ◽  
Monetary Savings

With the advent of new technologies and an alarming increase in the world’s population, there has been a rapid increase in energy consumption. Consequently, this has resulted in a surge in developing sources that generate electricity and concurrently escalating global warming levels. Owing to their contributions in vast applications, dependence on renewable energy is a reliable option. However, it is known that a complete and efficient utilization of the incoming solar radiation is not feasible, taking into account the various losses associated. Our proposal addresses concerns resulting in the efficient utilization of solar energy based on optimal cost analysis by the mathematical procedure. This methodology when used along with a battery-based photovoltaic (PV) system effectively reduces the amount of electricity imported from the grid. The implementation of this method scales down the monthly electricity consumption by 67.1%. Our findings were established considering South Korea’s residential electricity tariff system. Our system works based on a principle where the batteries are charged with solar PV during off-peak hours and discharged during peak hours. The state of charge of the battery could be monitored using a web server. In situations, wherein the load demand cannot be sustained by the batteries, grid power can be utilized during peak hours. The sequence of these events can be implemented by a series of algorithms. Our proposed system also helps in achieving the goal-7 of the sustainable development goals (SDG) prescribed by the United Nations (UN), which is to boost the consumption of renewable energy which ultimately results in monetary savings to a large extent.

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