scholarly journals Financial Impacts of Net-Metered Distributed PV on a Prototypical Western Utility’s Shareholders and Ratepayers

Energies ◽  
2019 ◽  
Vol 12 (24) ◽  
pp. 4794 ◽  
Author(s):  
Peter Cappers ◽  
Andrew Satchwell ◽  
Will Gorman ◽  
Javier Reneses
Keyword(s):  
Capital Investment ◽  
Operating Conditions ◽  
Net Energy ◽  
Electricity Pricing ◽  
Operating Characteristics ◽  
Financial Model ◽  
Energy Metering ◽  
Percentage Basis ◽  
Financial Impacts ◽  
Net Energy Metering

Distributed solar photovoltaic (DPV) under net-energy metering with volumetric retail electricity pricing has raised concerns among utilities and regulators about adverse financial impacts for shareholders and ratepayers. Using a pro forma financial model, we estimate the financial impacts of different DPV deployment levels on a prototypical Western U.S. investor-owned utility under a varied set of operating conditions that would be expected to affect the value of DPV. Our results show that the financial impacts on shareholders and ratepayers increase as the level of DPV deployment increases, though the magnitude is small even at high DPV penetration levels. Even rather dramatic changes in DPV value result in modest changes to shareholder and ratepayer impacts, but the impacts on the former are greater than the latter (in percentage terms). The range of financial impacts are driven by differences in the amount of incremental capital investment that is deferred, as well as the amount of incremental distribution operating expenses that are incurred. While many of the impacts appear relatively small (on a percentage basis), they demonstrate how the magnitude of impacts depend critically on utility physical, financial, and operating characteristics.

scholarly journals A Comparative Study for Different Sizing of Solar PV System under Net Energy Metering Scheme at University Buildings

2018 ◽  
Vol 7 (3) ◽  
pp. 450-457
Author(s):  
T. M. N. T. Mansur ◽  
N. H. Baharudin ◽  
R. Ali
Keyword(s):  
Solar Energy ◽  
Net Energy ◽  
Solar Pv ◽  
Pv System ◽  
Electricity Bill ◽  
Energy Metering ◽  
Solar Pv System ◽  
University Buildings ◽  
The University ◽  
Net Energy Metering

Malaysia has moved forward by promoting the use of renewable energy such as solar PV to the public to reduce dependency on fossil fuel-based energy resources. Due to the concern on high electricity bill, Universiti Malaysia Perlis (UniMAP) is keen to install solar PV system as an initiative for energy saving program to its buildings. The objective of this paper is to technically and economically evaluate the different sizing of solar PV system for university buildings under the Net Energy Metering (NEM) scheme. The study involves gathering of solar energy resource information, daily load profile of the buildings, sizing PV array together with grid-connected inverters and the simulation of the designed system using PVsyst software. Based on the results obtained, the amount of solar energy generated and used by the load per year is between 5.10% and 20.20% from the total annual load demand. Almost all solar energy generated from the system will be self-consumed by the loads. In terms of profit gained, the university could reduce its electricity bill approximately between a quarter to one million ringgit per annum depending on the sizing capacity. Beneficially, the university could contribute to the environmental conservation by avoiding up to 2,000 tons of CO2 emission per year.

scholarly journals Relationship between installed capacity with total installation cost on solar PV among prosumer NEM 2.0 in Malaysia

2021 ◽  
Vol 5 (S1) ◽  
pp. 1467-1479
Author(s):  
Noriza Mohd Saad ◽  
Izzaamirah Ishak ◽  
Amar Hisham Jaaffar ◽  
Mohd Zamri Laton
Keyword(s):  
Energy Savings ◽  
Secondary Data ◽  
Fixed Effect Model ◽  
Capacity Allocation ◽  
Net Energy ◽  
Solar Pv ◽  
Effect Model ◽  
Energy Metering ◽  
Installed Capacity ◽  
Net Energy Metering

Generate energy by Solar PV installation among prosumer, i.e; domestic, commercial, industrial as well as agriculture for self-consumption under Net Energy Metering (NEM) system become more popular in Malaysia. One, if not the only reason, is that day-to-day installation costs are kept at a decreasing rate and this is one of the reasonable ones for future investments and energy savings. By considering this issue, this study is motivated to investigate the relationship between installed capacity with the total installation costs as represented by equipment costs, installed costs, and operating costs. Secondary data was utilized provided by Sustainable Energy Development Authority (SEDA) Malaysia and retrieved from Malaysian Energy Information Hub (MEIH). The data is then run by multivariate regression, which is focused on the random and fixed-effect model. Overall, the findings indicate that there is a significant relationship between installed capacities with total installation costs among all categories of the prosumer in Malaysia. It would be recommended that the policymaker can increase the quota capacity allocation to the prosumer since the costs are at a diminishing rate that led to the take-up rate increase.

scholarly journals A Simplified Method: System Size and Cost Estimation of Grid Connected Photovoltaic (GCPV) System

2019 ◽  
Vol 8 (4) ◽  
pp. 6240-6243
Keyword(s):  
Renewable Energy ◽  
Cost Estimation ◽  
Fossil Fuels ◽  
System Size ◽  
Net Energy ◽  
Simplified Method ◽  
Energy Metering ◽  
Electricity Power ◽  
The Cost ◽  
Net Energy Metering

There are various types of Renewable Energy (RE) that has been studied by many researchers in order to find a costeffective energy generation in reducing the non-renewable energy source. In this study, the solar energy was suggested in order to apply the Net Energy Metering (NEM) scheme that has been introduced effective on 1st January 2019, by Malaysian government in achieving 20% national RE target in electricity power mix, reducing the dependency on imported fossil fuels. Based on the data and results, the suitable size of solar panel for a house can be determined based on the daily electricity usage. The findings show that the system size and the cost itself also depends on the estimated amount solar generated set by the consumer.

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