A Case Study on the Cost-effectiveness of Net Energy Metering of Residential Grid-Connected Photovoltaic in the Context of Bangladesh

2021 ◽  
Author(s):  
Fahad Raihan Saquib ◽  
Ankon Chakma ◽  
Atik Yasir Rahman ◽  
Fariha Hakim Sneha ◽  
M S A A F Shiblee ◽  
...  
Keyword(s):  
Cost Effectiveness ◽  
Net Energy ◽  
Energy Metering ◽  
The Cost ◽  
Net Energy Metering

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.

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.

Comparison of Alternative Methods to Assess the Cost-Effectiveness of Tumor-Agnostic Therapies: A Triangulation Approach Using Larotrectinib as a Case Study

2021 ◽  
Author(s):  
Andrew Briggs ◽  
Beth Wehler ◽  
Jennifer G. Gaultney ◽  
Alex Upton ◽  
Antoine Italiano ◽  
...  
Keyword(s):  
Cost Effectiveness ◽  
Alternative Methods ◽  
The Cost

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.

Evaluating the cost-effectiveness of invasive alien plant clearing: A case study from South Africa

2012 ◽  
Vol 155 ◽  
pp. 128-135 ◽  
Author(s):  
Matthew M. McConnachie ◽  
Richard M. Cowling ◽  
Brian W. van Wilgen ◽  
Dominic A. McConnachie
Keyword(s):  
South Africa ◽  
Cost Effectiveness ◽  
Alien Plant ◽  
Invasive Alien Plant ◽  
The Cost

scholarly journals Comparing the cost effectiveness of nature-based and coastal adaptation: A case study from the Gulf Coast of the United States

PLoS ONE ◽  
2018 ◽  
Vol 13 (4) ◽  
pp. e0192132 ◽  
Author(s):  
Borja G. Reguero ◽  
Michael W. Beck ◽  
David N. Bresch ◽  
Juliano Calil ◽  
Imen Meliane
Keyword(s):  
United States ◽  
Cost Effectiveness ◽  
Gulf Coast ◽  
The United States ◽  
Coastal Adaptation ◽  
The Cost

scholarly journals Modeling the Economic Impact of Interventions for Older Populations with Multimorbidity: A Method of Linking Multiple Single-Disease Models

2019 ◽  
Vol 39 (7) ◽  
pp. 842-856
Author(s):  
Ji-Hee Youn ◽  
Matt D. Stevenson ◽  
Praveen Thokala ◽  
Katherine Payne ◽  
Maria Goddard
Keyword(s):  
Health Care ◽  
Cost Effectiveness ◽  
Disease Models ◽  
Decision Analytic Model ◽  
Analytic Model ◽  
The Cost ◽  
Older Populations ◽  
Linked Model ◽  
Multiple Conditions

Introduction. Individuals from older populations tend to have more than 1 health condition (multimorbidity). Current approaches to produce economic evidence for clinical guidelines using decision-analytic models typically use a single-disease approach, which may not appropriately reflect the competing risks within a population with multimorbidity. This study aims to demonstrate a proof-of-concept method of modeling multiple conditions in a single decision-analytic model to estimate the impact of multimorbidity on the cost-effectiveness of interventions. Methods. Multiple conditions were modeled within a single decision-analytic model by linking multiple single-disease models. Individual discrete event simulation models were developed to evaluate the cost-effectiveness of preventative interventions for a case study assuming a UK National Health Service perspective. The case study used 3 diseases (heart disease, Alzheimer’s disease, and osteoporosis) that were combined within a single linked model. The linked model, with and without correlations between diseases incorporated, simulated the general population aged 45 years and older to compare results in terms of lifetime costs and quality-adjusted life-years (QALYs). Results. The estimated incremental costs and QALYs for health care interventions differed when 3 diseases were modeled simultaneously (£840; 0.234 QALYs) compared with aggregated results from 3 single-disease models (£408; 0.280QALYs). With correlations between diseases additionally incorporated, both absolute and incremental costs and QALY estimates changed in different directions, suggesting that the inclusion of correlations can alter model results. Discussion. Linking multiple single-disease models provides a methodological option for decision analysts who undertake research on populations with multimorbidity. It also has potential for wider applications in informing decisions on commissioning of health care services and long-term priority setting across diseases and health care programs through providing potentially more accurate estimations of the relative cost-effectiveness of interventions.

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